{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "DetectMySetup (clean).ipynb", "provenance": [], "toc_visible": true, "authorship_tag": "ABX9TyO67YRfKgQhOUXOJWTdplRZ", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "metadata": { "id": "TNUJwvyeVSlt", "colab_type": "text" }, "source": [ "# Creating a computer setup detection application with Detectron2.\n", "\n", "with the help of [this tutorial on replicating Airbnb's Amenity Detection](https://github.com/mrdbourke/airbnb-amenity-detection/)\n", "\n", "This application uses an object detection model to outline and classify common amenities in a computer setup.\n", "\n", "Purpose? to learn more about the implementation and deployment of machine learning models." ] }, { "cell_type": "markdown", "metadata": { "id": "h5a5E22qhyWU", "colab_type": "text" }, "source": [ "# Installations + imports\n", "\n" ] }, { "cell_type": "code", "metadata": { "id": "Q5poI6juUt9C", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 944 }, "outputId": "a02335f7-3761-47f6-9095-1e2e2612c30a" }, "source": [ "# Install Detectron2 dependencies: https://detectron2.readthedocs.io/tutorials/install.html (use cu100 because colab is on CUDA 10.0)\n", "!pip install -U torch==1.4+cu100 torchvision==0.5+cu100 -f https://download.pytorch.org/whl/torch_stable.html \n", "!pip install cython pyyaml==5.1\n", "!pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'\n", "\n", "import torch, torchvision\n", "\n", "# opencv is pre-installed on colab" ], "execution_count": 1, "outputs": [ { "output_type": "stream", "text": [ "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n", "Collecting torch==1.4+cu100\n", "\u001b[?25l Downloading https://download.pytorch.org/whl/cu100/torch-1.4.0%2Bcu100-cp36-cp36m-linux_x86_64.whl (723.9MB)\n", "\u001b[K |████████████████████████████████| 723.9MB 24kB/s \n", "\u001b[?25hCollecting torchvision==0.5+cu100\n", "\u001b[?25l Downloading https://download.pytorch.org/whl/cu100/torchvision-0.5.0%2Bcu100-cp36-cp36m-linux_x86_64.whl (4.0MB)\n", "\u001b[K |████████████████████████████████| 4.1MB 66.8MB/s \n", "\u001b[?25hRequirement already satisfied, skipping upgrade: numpy in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5+cu100) (1.18.5)\n", "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5+cu100) (1.15.0)\n", "Requirement already satisfied, skipping upgrade: pillow>=4.1.1 in /usr/local/lib/python3.6/dist-packages (from torchvision==0.5+cu100) (7.0.0)\n", "Installing collected packages: torch, torchvision\n", " Found existing installation: torch 1.6.0+cu101\n", " Uninstalling torch-1.6.0+cu101:\n", " Successfully uninstalled torch-1.6.0+cu101\n", " Found existing installation: torchvision 0.7.0+cu101\n", " Uninstalling torchvision-0.7.0+cu101:\n", " Successfully uninstalled torchvision-0.7.0+cu101\n", "Successfully installed torch-1.4.0+cu100 torchvision-0.5.0+cu100\n", "Requirement already satisfied: cython in /usr/local/lib/python3.6/dist-packages (0.29.21)\n", "Collecting pyyaml==5.1\n", "\u001b[?25l Downloading https://files.pythonhosted.org/packages/9f/2c/9417b5c774792634834e730932745bc09a7d36754ca00acf1ccd1ac2594d/PyYAML-5.1.tar.gz (274kB)\n", "\u001b[K |████████████████████████████████| 276kB 5.2MB/s \n", "\u001b[?25hBuilding wheels for collected packages: pyyaml\n", " Building wheel for pyyaml (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for pyyaml: filename=PyYAML-5.1-cp36-cp36m-linux_x86_64.whl size=44074 sha256=2650c255f3fbef917bf17cd846d32e700ab9a6b730da30f686c9b4677d6c4c5f\n", " Stored in directory: /root/.cache/pip/wheels/ad/56/bc/1522f864feb2a358ea6f1a92b4798d69ac783a28e80567a18b\n", "Successfully built pyyaml\n", "Installing collected packages: pyyaml\n", " Found existing installation: PyYAML 3.13\n", " Uninstalling PyYAML-3.13:\n", " Successfully uninstalled PyYAML-3.13\n", "Successfully installed pyyaml-5.1\n", "Collecting git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI\n", " Cloning https://github.com/cocodataset/cocoapi.git to /tmp/pip-req-build-xbluu3wo\n", " Running command git clone -q https://github.com/cocodataset/cocoapi.git /tmp/pip-req-build-xbluu3wo\n", "Requirement already satisfied, skipping upgrade: setuptools>=18.0 in /usr/local/lib/python3.6/dist-packages (from pycocotools==2.0) (49.2.0)\n", "Requirement already satisfied, skipping upgrade: cython>=0.27.3 in /usr/local/lib/python3.6/dist-packages (from pycocotools==2.0) (0.29.21)\n", "Requirement already satisfied, skipping upgrade: matplotlib>=2.1.0 in /usr/local/lib/python3.6/dist-packages (from pycocotools==2.0) (3.2.2)\n", "Requirement already satisfied, skipping upgrade: numpy>=1.11 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0) (1.18.5)\n", "Requirement already satisfied, skipping upgrade: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0) (1.2.0)\n", "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0) (2.4.7)\n", "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0) (2.8.1)\n", "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=2.1.0->pycocotools==2.0) (0.10.0)\n", "Requirement already satisfied, skipping upgrade: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.1->matplotlib>=2.1.0->pycocotools==2.0) (1.15.0)\n", "Building wheels for collected packages: pycocotools\n", " Building wheel for pycocotools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for pycocotools: filename=pycocotools-2.0-cp36-cp36m-linux_x86_64.whl size=266462 sha256=e3c461eae04f4379bac1e780612432d024c8e5608d5b65c8b42ff680b0913cd0\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-qz4ojjmx/wheels/90/51/41/646daf401c3bc408ff10de34ec76587a9b3ebfac8d21ca5c3a\n", "Successfully built pycocotools\n", "Installing collected packages: pycocotools\n", " Found existing installation: pycocotools 2.0.1\n", " Uninstalling pycocotools-2.0.1:\n", " Successfully uninstalled pycocotools-2.0.1\n", "Successfully installed pycocotools-2.0\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "2d7c0NuLiGxT", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "aa996e5b-4bb6-45cd-bf3a-d3e858888d5e" }, "source": [ "# install detectron2:\n", "!pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/index.html" ], "execution_count": 2, "outputs": [ { "output_type": "stream", "text": [ "Looking in links: https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/index.html\n", "Collecting detectron2\n", "\u001b[?25l Downloading https://dl.fbaipublicfiles.com/detectron2/wheels/cu100/torch1.4/detectron2-0.2.1%2Bcu100-cp36-cp36m-linux_x86_64.whl (6.7MB)\n", "\u001b[K |████████████████████████████████| 6.7MB 5.4MB/s \n", "\u001b[?25hRequirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from detectron2) (0.16.0)\n", "Collecting yacs>=0.1.6\n", " Downloading https://files.pythonhosted.org/packages/81/3b/40e876afde9f5ffa1cfdce10565aba85b0dc2e067ed551dfb566cfee6d4d/yacs-0.1.7-py3-none-any.whl\n", "Requirement already satisfied: pydot in /usr/local/lib/python3.6/dist-packages (from detectron2) (1.3.0)\n", "Requirement already satisfied: tqdm>4.29.0 in /usr/local/lib/python3.6/dist-packages (from detectron2) (4.41.1)\n", "Requirement already satisfied: termcolor>=1.1 in /usr/local/lib/python3.6/dist-packages (from detectron2) (1.1.0)\n", "Collecting fvcore>=0.1.1\n", " Downloading https://files.pythonhosted.org/packages/81/ee/3709513b414c2b525e4f03c45215579f93f41dba797f0e5fe539e6bc92b7/fvcore-0.1.1.post20200716.tar.gz\n", "Requirement already satisfied: tabulate in /usr/local/lib/python3.6/dist-packages (from detectron2) (0.8.7)\n", "Collecting pycocotools>=2.0.1\n", " Downloading https://files.pythonhosted.org/packages/5c/82/bcaf4d21d7027fe5165b88e3aef1910a36ed02c3e99d3385d1322ea0ba29/pycocotools-2.0.1.tar.gz\n", "Collecting mock\n", " Downloading https://files.pythonhosted.org/packages/cd/74/d72daf8dff5b6566db857cfd088907bb0355f5dd2914c4b3ef065c790735/mock-4.0.2-py3-none-any.whl\n", "Requirement already satisfied: cloudpickle in /usr/local/lib/python3.6/dist-packages (from detectron2) (1.3.0)\n", "Collecting Pillow>=7.1\n", "\u001b[?25l Downloading https://files.pythonhosted.org/packages/30/bf/92385b4262178ca22b34f82e0e09c2922eb351fe39f3cc7b8ba9ea555b41/Pillow-7.2.0-cp36-cp36m-manylinux1_x86_64.whl (2.2MB)\n", "\u001b[K |████████████████████████████████| 2.2MB 8.1MB/s \n", "\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.6/dist-packages (from detectron2) (3.2.2)\n", "Requirement already satisfied: tensorboard in /usr/local/lib/python3.6/dist-packages (from detectron2) (2.2.2)\n", "Requirement already satisfied: PyYAML in /usr/local/lib/python3.6/dist-packages (from yacs>=0.1.6->detectron2) (5.1)\n", "Requirement already satisfied: pyparsing>=2.1.4 in /usr/local/lib/python3.6/dist-packages (from pydot->detectron2) (2.4.7)\n", "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from fvcore>=0.1.1->detectron2) (1.18.5)\n", "Collecting portalocker\n", " Downloading https://files.pythonhosted.org/packages/89/a6/3814b7107e0788040870e8825eebf214d72166adf656ba7d4bf14759a06a/portalocker-2.0.0-py2.py3-none-any.whl\n", "Requirement already satisfied: setuptools>=18.0 in /usr/local/lib/python3.6/dist-packages (from pycocotools>=2.0.1->detectron2) (49.2.0)\n", "Requirement already satisfied: cython>=0.27.3 in /usr/local/lib/python3.6/dist-packages (from pycocotools>=2.0.1->detectron2) (0.29.21)\n", "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->detectron2) (0.10.0)\n", "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->detectron2) (1.2.0)\n", "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->detectron2) (2.8.1)\n", "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (0.4.1)\n", "Requirement already satisfied: wheel>=0.26; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (0.34.2)\n", "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (3.12.2)\n", "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (1.30.0)\n", "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (0.9.0)\n", "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (1.0.1)\n", "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (1.15.0)\n", "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (1.7.0)\n", "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (1.17.2)\n", "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (3.2.2)\n", "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.6/dist-packages (from tensorboard->detectron2) (2.23.0)\n", "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.6/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard->detectron2) (1.3.0)\n", "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard->detectron2) (4.1.1)\n", "Requirement already satisfied: rsa<5,>=3.1.4; python_version >= \"3\" in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard->detectron2) (4.6)\n", "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.6/dist-packages (from google-auth<2,>=1.6.3->tensorboard->detectron2) (0.2.8)\n", "Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.6/dist-packages (from markdown>=2.6.8->tensorboard->detectron2) (1.7.0)\n", "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard->detectron2) (1.24.3)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard->detectron2) (2020.6.20)\n", "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard->detectron2) (3.0.4)\n", "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests<3,>=2.21.0->tensorboard->detectron2) (2.10)\n", "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard->detectron2) (3.1.0)\n", "Requirement already satisfied: pyasn1>=0.1.3 in /usr/local/lib/python3.6/dist-packages (from rsa<5,>=3.1.4; python_version >= \"3\"->google-auth<2,>=1.6.3->tensorboard->detectron2) (0.4.8)\n", "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata; python_version < \"3.8\"->markdown>=2.6.8->tensorboard->detectron2) (3.1.0)\n", "Building wheels for collected packages: fvcore, pycocotools\n", " Building wheel for fvcore (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for fvcore: filename=fvcore-0.1.1.post20200716-cp36-none-any.whl size=42325 sha256=4423280667b4a6a03773d38e79f330d11919bba7f761aae1886152f294fc512e\n", " Stored in directory: /root/.cache/pip/wheels/81/99/f4/42a6bef61c07b3d78dfe6d7ebff259444c4526504cf72378d7\n", " Building wheel for pycocotools (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for pycocotools: filename=pycocotools-2.0.1-cp36-cp36m-linux_x86_64.whl size=266512 sha256=5d2e5b93a01f0d137707e307e4015b40268ad9833670e339643a17fefcdc2099\n", " Stored in directory: /root/.cache/pip/wheels/86/19/08/49b25f258ead1f861c9ab2fc41f73636f2928859adbb0e9797\n", "Successfully built fvcore pycocotools\n", "\u001b[31mERROR: albumentations 0.1.12 has requirement imgaug<0.2.7,>=0.2.5, but you'll have imgaug 0.2.9 which is incompatible.\u001b[0m\n", "Installing collected packages: yacs, portalocker, Pillow, fvcore, pycocotools, mock, detectron2\n", " Found existing installation: Pillow 7.0.0\n", " Uninstalling Pillow-7.0.0:\n", " Successfully uninstalled Pillow-7.0.0\n", " Found existing installation: pycocotools 2.0\n", " Uninstalling pycocotools-2.0:\n", " Successfully uninstalled pycocotools-2.0\n", "Successfully installed Pillow-7.2.0 detectron2-0.2.1+cu100 fvcore-0.1.1.post20200716 mock-4.0.2 portalocker-2.0.0 pycocotools-2.0.1 yacs-0.1.7\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "PIL" ] } } }, "metadata": { "tags": [] } } ] }, { "cell_type": "code", "metadata": { "id": "y2yrMJRVeZrJ", "colab_type": "code", "colab": {} }, "source": [ "# Some basic setup:\n", "# Setup detectron2 logger\n", "import detectron2\n", "from detectron2.utils.logger import setup_logger\n", "setup_logger() # this logs Detectron2 information such as what the model is doing when it's training\n", "\n", "# import some common libraries\n", "import numpy as np\n", "import pandas as pd\n", "from tqdm import tqdm\n", "import cv2\n", "import random\n", "from google.colab.patches import cv2_imshow\n", "\n", "from detectron2.structures import BoxMode\n", "import json\n", "import pprint\n", "\n", "import logging\n", "import os\n", "import argparse\n", "from collections import OrderedDict\n", "\n", "# import some common detectron2 utilities\n", "from detectron2.data import (\n", " MetadataCatalog,\n", " DatasetCatalog,\n", " build_detection_test_loader\n", ")\n", "\n", "from detectron2.engine import DefaultPredictor,DefaultTrainer\n", "from detectron2.evaluation import ( ### Changes from original, I don't need all the different evaluators\n", " COCOEvaluator,\n", " DatasetEvaluators,\n", " inference_on_dataset,\n", " print_csv_format\n", ")\n", "from detectron2 import model_zoo # a series of pre-trained Detectron2 models: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\n", "from detectron2.config import get_cfg # a config of \"cfg\" in Detectron2 is a series of instructions for building a model\n", "from detectron2.utils.visualizer import Visualizer # a class to help visualize Detectron2 predictions on an image\n" ], "execution_count": 1, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "TsY0ssGF89En", "colab_type": "text" }, "source": [ "# Training Custom Model\n", "\n", "1. Download data (images) & label files from Open Images\n", "2. Format the data (images) & label files to be compatiable with Detectron2\n", "3. Download a pretrained Detectron2 model and update it (train it) with our own data\n", "4. Verify the updated model works on our own images by making predictions\n", "5. Evaluate the model using a validation/test set and Detectron2 evaluators" ] }, { "cell_type": "markdown", "metadata": { "id": "ciKllmJAfmej", "colab_type": "text" }, "source": [ "#Download data" ] }, { "cell_type": "code", "metadata": { "id": "ttKHjB328__2", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 756 }, "outputId": "0e9dd2fa-8655-47b8-ec18-b66a2aa4a8e7" }, "source": [ "#download label files\n", "\n", "# Training bounding boxes (1.11G)\n", "!wget https://storage.googleapis.com/openimages/2018_04/train/train-annotations-bbox.csv\n", "\n", "# Validating bounding boxes (23.94M)\n", "!wget https://storage.googleapis.com/openimages/v5/validation-annotations-bbox.csv\n", " \n", "# Testing bounding boxes (73.89M)\n", "!wget https://storage.googleapis.com/openimages/v5/test-annotations-bbox.csv\n", "\n", "# Class names of images (11.73K)\n", "!wget https://storage.googleapis.com/openimages/v5/class-descriptions-boxable.csv" ], "execution_count": 2, "outputs": [ { "output_type": "stream", "text": [ "--2020-08-02 19:10:15-- https://storage.googleapis.com/openimages/2018_04/train/train-annotations-bbox.csv\n", "Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.20.128, 74.125.142.128, 74.125.195.128, ...\n", "Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.20.128|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 1194033454 (1.1G) [text/csv]\n", "Saving to: ‘train-annotations-bbox.csv’\n", "\n", "train-annotations-b 100%[===================>] 1.11G 123MB/s in 9.3s \n", "\n", "2020-08-02 19:10:24 (123 MB/s) - ‘train-annotations-bbox.csv’ saved [1194033454/1194033454]\n", "\n", "--2020-08-02 19:10:25-- https://storage.googleapis.com/openimages/v5/validation-annotations-bbox.csv\n", "Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.20.128, 74.125.142.128, 74.125.195.128, ...\n", "Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.20.128|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 25105048 (24M) [text/csv]\n", "Saving to: ‘validation-annotations-bbox.csv’\n", "\n", "validation-annotati 100%[===================>] 23.94M 48.4MB/s in 0.5s \n", "\n", "2020-08-02 19:10:26 (48.4 MB/s) - ‘validation-annotations-bbox.csv’ saved [25105048/25105048]\n", "\n", "--2020-08-02 19:10:27-- https://storage.googleapis.com/openimages/v5/test-annotations-bbox.csv\n", "Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.142.128, 74.125.195.128, 74.125.20.128, ...\n", "Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.142.128|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 77484237 (74M) [text/csv]\n", "Saving to: ‘test-annotations-bbox.csv’\n", "\n", "test-annotations-bb 100%[===================>] 73.89M 139MB/s in 0.5s \n", "\n", "2020-08-02 19:10:28 (139 MB/s) - ‘test-annotations-bbox.csv’ saved [77484237/77484237]\n", "\n", "--2020-08-02 19:10:28-- https://storage.googleapis.com/openimages/v5/class-descriptions-boxable.csv\n", "Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.20.128, 74.125.28.128, 74.125.142.128, ...\n", "Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.20.128|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 12011 (12K) [text/csv]\n", "Saving to: ‘class-descriptions-boxable.csv’\n", "\n", "class-descriptions- 100%[===================>] 11.73K --.-KB/s in 0s \n", "\n", "2020-08-02 19:10:28 (62.1 MB/s) - ‘class-descriptions-boxable.csv’ saved [12011/12011]\n", "\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "3Tju1VnBPyag", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "6f7af461-a1cb-473d-e950-9154b96639a7" }, "source": [ "#Download training data from GCP\n", "#I already uploaded folder of images to GCP from local storage after downloading from open images using downloadIO.py\n", "!gsutil -m cp -r gs://detectmysetup/train sample_data\n", "!gsutil -m cp -r gs://detectmysetup/validation sample_data" ], "execution_count": 3, "outputs": [ { "output_type": "stream", "text": [ "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", "Copying gs://detectmysetup/train/1c387e8561b912dd.jpg...\n", "Copying gs://detectmysetup/train/1c41850774f6539b.jpg...\n", "Copying gs://detectmysetup/train/1c42cd7c522ca8e3.jpg...\n", "Copying gs://detectmysetup/train/1c44214a0af82eed.jpg...\n", "Copying gs://detectmysetup/train/1c47e08aaf93ba5b.jpg...\n", "Copying gs://detectmysetup/train/1c4d9fcf288781b9.jpg...\n", "Copying gs://detectmysetup/train/1c5355bfbace046b.jpg...\n", "Copying gs://detectmysetup/train/1c5bde716ab03754.jpg...\n", "Copying gs://detectmysetup/train/1c5c239b4c4ff9ba.jpg...\n", "Copying gs://detectmysetup/train/1c6c7fc58d40ed64.jpg...\n", "Copying gs://detectmysetup/train/1c6d3da0629ce39f.jpg...\n", "Copying gs://detectmysetup/train/1c7348c293a885f7.jpg...\n", "Copying gs://detectmysetup/train/1c71b8ac0b2b7c3f.jpg...\n", "Copying gs://detectmysetup/train/1c73e2db47b4c4e5.jpg...\n", "Copying gs://detectmysetup/train/1c78c0874960008e.jpg...\n", "Copying gs://detectmysetup/train/1c7ca4b0dd63fb42.jpg...\n", "Copying gs://detectmysetup/train/1c7f705b5ad303af.jpg...\n", "Copying gs://detectmysetup/train/1c7fb3fd5eb30105.jpg...\n", "Copying gs://detectmysetup/train/1c83d79add8d8797.jpg...\n", "Copying gs://detectmysetup/train/1c8ff55e15b8d1e0.jpg...\n", "Copying gs://detectmysetup/train/1c91de8bfa9209a4.jpg...\n", "Copying gs://detectmysetup/train/1c93713a4bb592af.jpg...\n", "Copying gs://detectmysetup/train/1ca10c875713a330.jpg...\n", "Copying gs://detectmysetup/train/1cb8165b25da5403.jpg...\n", "Copying gs://detectmysetup/train/1cbe4dd5259f84ea.jpg...\n", "Copying gs://detectmysetup/train/1cc351507060a546.jpg...\n", "Copying gs://detectmysetup/train/1cc706aad43ae1ec.jpg...\n", "Copying gs://detectmysetup/train/1ccfc4941e4eb212.jpg...\n", "Copying gs://detectmysetup/train/1cd50909fb366d1d.jpg...\n", "Copying gs://detectmysetup/train/1cd6effab4f029bb.jpg...\n", "Copying gs://detectmysetup/train/1cdc19a439c3885b.jpg...\n", "Copying gs://detectmysetup/train/1cd8587cd3e29f53.jpg...\n", "Copying gs://detectmysetup/train/1ce97f8811ce8e76.jpg...\n", "Copying gs://detectmysetup/train/1cecef3b934afbed.jpg...\n", "Copying gs://detectmysetup/train/1ced2c3ee0e06b40.jpg...\n", "Copying gs://detectmysetup/train/1cedfd844ecf7f44.jpg...\n", "Copying gs://detectmysetup/train/1cee7fa065438db4.jpg...\n", "Copying gs://detectmysetup/train/1cf430ef6492efa6.jpg...\n", "Copying gs://detectmysetup/train/1d08f3e8b83e5851.jpg...\n", "Copying gs://detectmysetup/train/1d0c959cdfb5f87e.jpg...\n", "Copying gs://detectmysetup/train/1d1b01333ac1742f.jpg...\n", "Copying gs://detectmysetup/train/1d21dc4a1b62d254.jpg...\n", "Copying gs://detectmysetup/train/1d2481547f7ebcda.jpg...\n", "Copying gs://detectmysetup/train/1d340a30d1772b20.jpg...\n", "Copying gs://detectmysetup/train/1d3aa869eb321967.jpg...\n", "Copying gs://detectmysetup/train/1d4131ccb0ae0d2a.jpg...\n", "Copying gs://detectmysetup/train/1d4d1125e507f3b8.jpg...\n", "Copying gs://detectmysetup/train/1d4f1e7dda33a4a9.jpg...\n", "Copying gs://detectmysetup/train/1d561f24ce452a89.jpg...\n", "Copying gs://detectmysetup/train/1d5944ea5cf460fa.jpg...\n", "Copying gs://detectmysetup/train/1d59597f5050608f.jpg...\n", "Copying gs://detectmysetup/train/1d6091349147a500.jpg...\n", "Copying gs://detectmysetup/train/1d69cde35b47348e.jpg...\n", "Copying gs://detectmysetup/train/1d6c74f947de2634.jpg...\n", "Copying gs://detectmysetup/train/1d6e7104fa09f040.jpg...\n", "Copying gs://detectmysetup/train/1d8e78aa55d8fdd7.jpg...\n", "Copying gs://detectmysetup/train/1d8dea42b30f6261.jpg...\n", "Copying gs://detectmysetup/train/1d99f4ca8973689b.jpg...\n", "Copying gs://detectmysetup/train/1d9e0879346c51d3.jpg...\n", "Copying gs://detectmysetup/train/1da666adcb19ed11.jpg...\n", "Copying gs://detectmysetup/train/1dafe6ef2f92171a.jpg...\n", "Copying gs://detectmysetup/train/1db58f12951ed223.jpg...\n", "Copying gs://detectmysetup/train/1db9b4eb8834c121.jpg...\n", "Copying gs://detectmysetup/train/1dbd94d89d576e28.jpg...\n", "Copying gs://detectmysetup/train/1dbe96069244b370.jpg...\n", "Copying gs://detectmysetup/train/1dc989a1996e1ec0.jpg...\n", "Copying gs://detectmysetup/train/1dc9ea17bcb73f1f.jpg...\n", "Copying gs://detectmysetup/train/1dcb77ca1f579875.jpg...\n", "Copying gs://detectmysetup/train/1dd193edf6d06b94.jpg...\n", "Copying gs://detectmysetup/train/1dd808efc85a9937.jpg...\n", "Copying gs://detectmysetup/train/1ddc25a850717547.jpg...\n", "Copying gs://detectmysetup/train/1de51302f3762022.jpg...\n", "Copying gs://detectmysetup/train/1debe9e7369c0cfa.jpg...\n", "Copying gs://detectmysetup/train/1df5aa70be29cb95.jpg...\n", "Copying gs://detectmysetup/train/1dfb7a312b59cdf0.jpg...\n", "Copying gs://detectmysetup/train/1dfbaa9a1c6d025d.jpg...\n", "Copying gs://detectmysetup/train/1e1966149ab9b4bd.jpg...\n", "Copying gs://detectmysetup/train/1e2048983f86e44d.jpg...\n", "Copying gs://detectmysetup/train/1e21bcb4f2c5fc88.jpg...\n", "Copying gs://detectmysetup/train/1e30c6fe7c48db41.jpg...\n", "Copying gs://detectmysetup/train/1e334e21792d09d5.jpg...\n", "Copying gs://detectmysetup/train/1e36fb7825a1f764.jpg...\n", "Copying gs://detectmysetup/train/1e3c2ddc82bd6a15.jpg...\n", "Copying gs://detectmysetup/train/1e3e75a00fd157b5.jpg...\n", "Copying gs://detectmysetup/train/1e405bd27f6d7e6e.jpg...\n", "Copying gs://detectmysetup/train/1e461d494336767d.jpg...\n", "Copying gs://detectmysetup/train/1e496c37fb7ff35a.jpg...\n", "Copying gs://detectmysetup/train/1e559fb8d175c179.jpg...\n", "Copying gs://detectmysetup/train/1e5182e15fb024b8.jpg...\n", "Copying gs://detectmysetup/train/1e5b0094edb96309.jpg...\n", "Copying gs://detectmysetup/train/1e61a2104345c1d2.jpg...\n", "Copying gs://detectmysetup/train/1e629915ec3539af.jpg...\n", "Copying gs://detectmysetup/train/1e668d5d0706c355.jpg...\n", "Copying gs://detectmysetup/train/1e6c760a223a3592.jpg...\n", "Copying gs://detectmysetup/train/1e849c92a4e76460.jpg...\n", "Copying gs://detectmysetup/train/1e85203e9ba87a8c.jpg...\n", "Copying gs://detectmysetup/train/1e86aaff632edb96.jpg...\n", "Copying gs://detectmysetup/train/1e8c00f2491b3148.jpg...\n", "Copying gs://detectmysetup/train/1e8cd41e7b155ca1.jpg...\n", "Copying gs://detectmysetup/train/1ea8fad68b17131f.jpg...\n", "Copying gs://detectmysetup/train/1eab8a4e247e9527.jpg...\n", "Copying gs://detectmysetup/train/1eb8946de3f00e32.jpg...\n", "Copying gs://detectmysetup/train/1ebbb01f0b649e7c.jpg...\n", "Copying gs://detectmysetup/train/1ebffb38d17f10d5.jpg...\n", "Copying gs://detectmysetup/train/1ecc74ea1d40533d.jpg...\n", "Copying gs://detectmysetup/train/1ed00439979ace54.jpg...\n", "Copying gs://detectmysetup/train/1ed46a1d11ab1978.jpg...\n", "Copying gs://detectmysetup/train/1ed712bfb96ebe41.jpg...\n", "Copying gs://detectmysetup/train/1ed8b458f2d8615b.jpg...\n", "Copying gs://detectmysetup/train/1edb262b97182c29.jpg...\n", "Copying gs://detectmysetup/train/1eea3a55fe868404.jpg...\n", "Copying gs://detectmysetup/train/1eee81605ce77e9f.jpg...\n", "Copying gs://detectmysetup/train/1ef1d7c251429099.jpg...\n", "Copying gs://detectmysetup/train/1ef22e5fdc24b52d.jpg...\n", "Copying gs://detectmysetup/train/1ef2e35067357eff.jpg...\n", "Copying gs://detectmysetup/train/1eff9aae8a5d040b.jpg...\n", "Copying gs://detectmysetup/train/1f02b8792ffc1e31.jpg...\n", "Copying gs://detectmysetup/train/1f0a5610c0e6d17e.jpg...\n", "Copying gs://detectmysetup/train/1f105e72d3799628.jpg...\n", "Copying gs://detectmysetup/train/1f1dfd44268938c0.jpg...\n", "Copying gs://detectmysetup/train/1f109b2879de1571.jpg...\n", "Copying gs://detectmysetup/train/1f15e3fad6db6c15.jpg...\n", "Copying gs://detectmysetup/train/1f1efc847e663788.jpg...\n", "Copying gs://detectmysetup/train/1f2c4a9277907198.jpg...\n", "Copying gs://detectmysetup/train/1f37ec76082ad8ea.jpg...\n", "Copying gs://detectmysetup/train/1f390cd0b6ec8c99.jpg...\n", "Copying gs://detectmysetup/train/1f396bff035b21e4.jpg...\n", "Copying gs://detectmysetup/train/1f3e2591a33d1ffc.jpg...\n", "Copying gs://detectmysetup/train/1f3e99da00b29018.jpg...\n", "Copying gs://detectmysetup/train/1f44d54176aa7c90.jpg...\n", "Copying gs://detectmysetup/train/1f4c4b3bfcd9c99a.jpg...\n", "Copying gs://detectmysetup/train/1f4eb7876c6a7189.jpg...\n", "Copying gs://detectmysetup/train/1f51c304f5f58c81.jpg...\n", "Copying gs://detectmysetup/train/1f581df34642c8c6.jpg...\n", "Copying gs://detectmysetup/train/1f5e50ae0f1df1d6.jpg...\n", "Copying gs://detectmysetup/train/1f625a8787e53ace.jpg...\n", "Copying gs://detectmysetup/train/1f6e2c3345d8f9bc.jpg...\n", "Copying gs://detectmysetup/train/1f70c4243072f830.jpg...\n", "Copying gs://detectmysetup/train/1f73c42e4685b963.jpg...\n", "Copying gs://detectmysetup/train/1f7ad7273543715d.jpg...\n", "Copying gs://detectmysetup/train/1f89b3dcb43db2d6.jpg...\n", "Copying gs://detectmysetup/train/1f82ba087e1e8321.jpg...\n", "Copying gs://detectmysetup/train/1f9622836e00d34e.jpg...\n", "Copying gs://detectmysetup/train/1fadccc5c6238e49.jpg...\n", "Copying gs://detectmysetup/train/1fb4e357a56ea2de.jpg...\n", "Copying gs://detectmysetup/train/1fb56458af0004d9.jpg...\n", "Copying gs://detectmysetup/train/1fb77e6fff92ac08.jpg...\n", "Copying gs://detectmysetup/train/1fc2ec3810201db6.jpg...\n", "Copying gs://detectmysetup/train/1fbf0dab33debdd8.jpg...\n", "Copying gs://detectmysetup/train/1fc6c1e99988d314.jpg...\n", "Copying gs://detectmysetup/train/1fd0b2494628b65d.jpg...\n", "Copying gs://detectmysetup/train/1fc936094730ba96.jpg...\n", "Copying gs://detectmysetup/train/1fd93c0fc967e219.jpg...\n", "Copying gs://detectmysetup/train/1fe25093efba995b.jpg...\n", "Copying gs://detectmysetup/train/1fe1ff89a5a01c07.jpg...\n", "Copying gs://detectmysetup/train/1fe71aaefbbe981a.jpg...\n", "Copying gs://detectmysetup/train/1fee7ea436410005.jpg...\n", "Copying gs://detectmysetup/train/1ff02fe9ec26d246.jpg...\n", "Copying gs://detectmysetup/train/1ff99d22dc77ad28.jpg...\n", "Copying gs://detectmysetup/train/20054fdd3816c0ee.jpg...\n", "Copying gs://detectmysetup/train/200ca2d4acf45d3a.jpg...\n", "Copying gs://detectmysetup/train/2016f413b7c9b6d5.jpg...\n", "Copying gs://detectmysetup/train/201ccf50429606f5.jpg...\n", "Copying gs://detectmysetup/train/202412d54befbdd1.jpg...\n", "Copying gs://detectmysetup/train/20391a906b3856a9.jpg...\n", "Copying gs://detectmysetup/train/2024f337e6de99cd.jpg...\n", "Copying gs://detectmysetup/train/203a355af5767d95.jpg...\n", "Copying gs://detectmysetup/train/203bfb0ebcdc4e7f.jpg...\n", "Copying gs://detectmysetup/train/2046610af291da3c.jpg...\n", "Copying gs://detectmysetup/train/204bf8f274e437f2.jpg...\n", "Copying gs://detectmysetup/train/204ee227cd112bec.jpg...\n", "Copying gs://detectmysetup/train/20563879cc1e9fa4.jpg...\n", "Copying gs://detectmysetup/train/2056cf90966bc478.jpg...\n", "Copying gs://detectmysetup/train/206458b53ffd2a35.jpg...\n", "Copying gs://detectmysetup/train/206d581960a898c9.jpg...\n", "Copying gs://detectmysetup/train/207623bc7f20190d.jpg...\n", "Copying gs://detectmysetup/train/20820b4e8131aa78.jpg...\n", "Copying gs://detectmysetup/train/20999c3a9c2e6b08.jpg...\n", "Copying gs://detectmysetup/train/20a6836017997386.jpg...\n", "Copying gs://detectmysetup/train/20a8056cb443ac35.jpg...\n", "Copying gs://detectmysetup/train/20ab856a62bfd07d.jpg...\n", "Copying gs://detectmysetup/train/20b35b016656fd5a.jpg...\n", "Copying gs://detectmysetup/train/20c1f0b34919a14d.jpg...\n", "Copying gs://detectmysetup/train/20c2c9f001f9df38.jpg...\n", "Copying gs://detectmysetup/train/20d1270bead5a647.jpg...\n", "Copying gs://detectmysetup/train/20d3f8c5e217d099.jpg...\n", "Copying gs://detectmysetup/train/20daf6c9ca0c4b3b.jpg...\n", "Copying gs://detectmysetup/train/20dede8fbacbfbe4.jpg...\n", "Copying gs://detectmysetup/train/20e08d91d584f96a.jpg...\n", "Copying gs://detectmysetup/train/20f1b54a1ea209ff.jpg...\n", "Copying gs://detectmysetup/train/20fa72ebdc73c3c2.jpg...\n", "Copying gs://detectmysetup/train/20fe90ccd2b7b740.jpg...\n", "Copying gs://detectmysetup/train/21019afc8eea7beb.jpg...\n", "Copying gs://detectmysetup/train/21140251f6675d3a.jpg...\n", "Copying gs://detectmysetup/train/212f8c09d85217f3.jpg...\n", "Copying gs://detectmysetup/train/21309ca75ce07251.jpg...\n", "Copying gs://detectmysetup/train/213662a3e964e60b.jpg...\n", "Copying gs://detectmysetup/train/21375c6cdec4a7c6.jpg...\n", "Copying gs://detectmysetup/train/2143b4f0db0a6ff2.jpg...\n", "Copying gs://detectmysetup/train/215a4393ea0207c3.jpg...\n", "Copying gs://detectmysetup/train/21489ef8cb8f94aa.jpg...\n", "Copying gs://detectmysetup/train/216033e5c3a6f11b.jpg...\n", "Copying gs://detectmysetup/train/2177968de26108bb.jpg...\n", "Copying gs://detectmysetup/train/217cf9a4bea405d9.jpg...\n", "Copying gs://detectmysetup/train/217e68b2da327955.jpg...\n", "Copying gs://detectmysetup/train/2181bb96cd6d1d72.jpg...\n", "Copying gs://detectmysetup/train/2185eee1b0bc1545.jpg...\n", "Copying gs://detectmysetup/train/21927ab8ea4bbb27.jpg...\n", "Copying gs://detectmysetup/train/2192b6ad2ed599e6.jpg...\n", "Copying gs://detectmysetup/train/219ca4bcaf64ceb4.jpg...\n", "Copying gs://detectmysetup/train/219cdb2dee412c30.jpg...\n", "Copying gs://detectmysetup/train/21a7d617d74ff373.jpg...\n", "Copying gs://detectmysetup/train/21bf4be8cc74a6de.jpg...\n", "Copying gs://detectmysetup/train/21c3081d19c9add1.jpg...\n", "Copying gs://detectmysetup/train/21c703eebc14534b.jpg...\n", "Copying gs://detectmysetup/train/21c9f7a5347d5ce7.jpg...\n", "Copying gs://detectmysetup/train/21ca378dc5152cbc.jpg...\n", "Copying gs://detectmysetup/train/21cb5f1869dd962a.jpg...\n", "Copying gs://detectmysetup/train/21d1ca122e55aa7e.jpg...\n", "Copying gs://detectmysetup/train/21d9fcf1a06ae63d.jpg...\n", "Copying gs://detectmysetup/train/21dc9c49d147a3f3.jpg...\n", "Copying gs://detectmysetup/train/21e60f4e4afff1b9.jpg...\n", "Copying gs://detectmysetup/train/21f12f7a9af16fea.jpg...\n", "Copying gs://detectmysetup/train/21f1e64cb4c74a1a.jpg...\n", "Copying gs://detectmysetup/train/21f553a64ff8c5e4.jpg...\n", "Copying gs://detectmysetup/train/21f5be5312652954.jpg...\n", "Copying gs://detectmysetup/train/22035e93bf445fa7.jpg...\n", "Copying gs://detectmysetup/train/220532a0e324330e.jpg...\n", "Copying gs://detectmysetup/train/220588dbd30a4e4d.jpg...\n", "Copying gs://detectmysetup/train/2207891682dba18c.jpg...\n", "Copying gs://detectmysetup/train/22090285dcfad65c.jpg...\n", "Copying gs://detectmysetup/train/220e9cd7208c85a3.jpg...\n", "Copying gs://detectmysetup/train/220f10e019dc8718.jpg...\n", "Copying gs://detectmysetup/train/221e68dffc5ab46a.jpg...\n", "Copying gs://detectmysetup/train/222293abd31d068b.jpg...\n", "Copying gs://detectmysetup/train/2227de9c8682818c.jpg...\n", "Copying gs://detectmysetup/train/2236342d6c643f4c.jpg...\n", "Copying gs://detectmysetup/train/2236cfdc06656a31.jpg...\n", "Copying gs://detectmysetup/train/223bf3f21aa84d9c.jpg...\n", "Copying gs://detectmysetup/train/223c3dba7f39d71e.jpg...\n", "Copying gs://detectmysetup/train/224bfe1623e7ab83.jpg...\n", "Copying gs://detectmysetup/train/2262bca4b9aee416.jpg...\n", "Copying gs://detectmysetup/train/225d45e166ce106a.jpg...\n", "Copying gs://detectmysetup/train/2263ac6838c087ec.jpg...\n", "Copying gs://detectmysetup/train/226f894db1565574.jpg...\n", "Copying gs://detectmysetup/train/2270afb2b05a7486.jpg...\n", "Copying gs://detectmysetup/train/22819899655b1d8e.jpg...\n", "Copying gs://detectmysetup/train/227e9602ca08a830.jpg...\n", "Copying gs://detectmysetup/train/2282b2aff6867bac.jpg...\n", "Copying gs://detectmysetup/train/229207b43f7a8938.jpg...\n", "Copying gs://detectmysetup/train/229bca8f93e0fbc8.jpg...\n", "Copying gs://detectmysetup/train/22a267a78fcdab4b.jpg...\n", "Copying gs://detectmysetup/train/22a678b6b6a8c0dd.jpg...\n", "Copying gs://detectmysetup/train/22aa8f80da42e0f9.jpg...\n", "Copying gs://detectmysetup/train/22af79ef0701b760.jpg...\n", "Copying gs://detectmysetup/train/22b1bf783cf60c45.jpg...\n", "Copying gs://detectmysetup/train/22b6139565017b64.jpg...\n", "Copying gs://detectmysetup/train/22db7b1d8fd83b83.jpg...\n", "Copying gs://detectmysetup/train/22bdb55b642bb06f.jpg...\n", "Copying gs://detectmysetup/train/22de6e301f2ff9de.jpg...\n", "Copying gs://detectmysetup/train/22e3a981ea685313.jpg...\n", "Copying gs://detectmysetup/train/22e779c67c19a63a.jpg...\n", "Copying gs://detectmysetup/train/22e8c554de9040d0.jpg...\n", "Copying gs://detectmysetup/train/22ea7ed756f70f54.jpg...\n", "Copying gs://detectmysetup/train/22ebdab7b80dfde9.jpg...\n", "Copying gs://detectmysetup/train/22eb313002626e50.jpg...\n", "Copying gs://detectmysetup/train/22ec3ca644ee05bc.jpg...\n", "Copying gs://detectmysetup/train/22ed4244d1c830a1.jpg...\n", "Copying gs://detectmysetup/train/22fef6581e765b0e.jpg...\n", "Copying gs://detectmysetup/train/22f5bd241bd99f56.jpg...\n", "Copying gs://detectmysetup/train/22ff5ce843bcbfc6.jpg...\n", "Copying gs://detectmysetup/train/23033ee476c3f5ad.jpg...\n", "Copying gs://detectmysetup/train/230c50f5e12533a8.jpg...\n", "Copying gs://detectmysetup/train/230dbf6b57735852.jpg...\n", "Copying gs://detectmysetup/train/23105d7efa34c2e1.jpg...\n", "Copying gs://detectmysetup/train/23128088b99df9c5.jpg...\n", "Copying gs://detectmysetup/train/231a4c76cb837eed.jpg...\n", "Copying gs://detectmysetup/train/232480d509b393b8.jpg...\n", "Copying gs://detectmysetup/train/232bef6cacf7862a.jpg...\n", "Copying gs://detectmysetup/train/233363f14504f308.jpg...\n", "Copying gs://detectmysetup/train/23369e2b6ede5fea.jpg...\n", "Copying gs://detectmysetup/train/23356e51d019d874.jpg...\n", "Copying gs://detectmysetup/train/2340bf4db5a702cd.jpg...\n", "Copying gs://detectmysetup/train/234197501c88149c.jpg...\n", "Copying gs://detectmysetup/train/234b59110781a9fe.jpg...\n", "Copying gs://detectmysetup/train/234e19774204b89e.jpg...\n", "Copying gs://detectmysetup/train/235af12db23712c5.jpg...\n", "Copying gs://detectmysetup/train/234f10b3374fe36a.jpg...\n", "Copying gs://detectmysetup/train/2363702c54fd3de7.jpg...\n", "Copying gs://detectmysetup/train/23679d1b1aea4466.jpg...\n", "Copying gs://detectmysetup/train/2378767f6bf6dbbd.jpg...\n", "Copying gs://detectmysetup/train/2389a941d829d616.jpg...\n", "Copying gs://detectmysetup/train/238d846370b5bf6a.jpg...\n", "Copying gs://detectmysetup/train/23958654931516e3.jpg...\n", "Copying gs://detectmysetup/train/2398cc31dbb29d35.jpg...\n", "Copying gs://detectmysetup/train/239becf3f5de3a04.jpg...\n", "Copying gs://detectmysetup/train/23a0c04dd319217c.jpg...\n", "Copying gs://detectmysetup/train/23aa67fffa5930eb.jpg...\n", "Copying gs://detectmysetup/train/23a790b3d91229ab.jpg...\n", "Copying gs://detectmysetup/train/23ab00a70d7d8f33.jpg...\n", "Copying gs://detectmysetup/train/23ac9c069b91873e.jpg...\n", "Copying gs://detectmysetup/train/23b062580c74399a.jpg...\n", "Copying gs://detectmysetup/train/23b9351bf3533cca.jpg...\n", "Copying gs://detectmysetup/train/23bc9e18a4cb73cb.jpg...\n", "Copying gs://detectmysetup/train/23c2dbe0a54b9786.jpg...\n", "Copying gs://detectmysetup/train/23c4926e89660bb6.jpg...\n", "Copying gs://detectmysetup/train/23cea4ae87b158bd.jpg...\n", "Copying gs://detectmysetup/train/23c9fb9da3775081.jpg...\n", "Copying gs://detectmysetup/train/23d15081bffa6be3.jpg...\n", "Copying gs://detectmysetup/train/23d1d3a8bff65e84.jpg...\n", "Copying gs://detectmysetup/train/23d415b6056d598b.jpg...\n", "Copying gs://detectmysetup/train/23d43d32e3783d4b.jpg...\n", "Copying gs://detectmysetup/train/23d62d0266a8776e.jpg...\n", "Copying gs://detectmysetup/train/23dc283e92080161.jpg...\n", "Copying gs://detectmysetup/train/23e691be3a62293d.jpg...\n", "Copying gs://detectmysetup/train/23e83636c11b3a25.jpg...\n", "Copying gs://detectmysetup/train/23e94ce1b3d7a97c.jpg...\n", "Copying gs://detectmysetup/train/23f4b4b18a9b8b3a.jpg...\n", "Copying gs://detectmysetup/train/23ea90d6266644d1.jpg...\n", "Copying gs://detectmysetup/train/23f52c1296c3d09d.jpg...\n", "Copying gs://detectmysetup/train/23f0b16c53c2d92a.jpg...\n", "Copying gs://detectmysetup/train/23fdc489f6bf3776.jpg...\n", "Copying gs://detectmysetup/train/23fefed39a3c0aae.jpg...\n", "Copying gs://detectmysetup/train/24016d8dc9ddcdf9.jpg...\n", "Copying gs://detectmysetup/train/2401a302ecc11503.jpg...\n", "Copying gs://detectmysetup/train/2402a65aa5b4191e.jpg...\n", "Copying gs://detectmysetup/train/24070f42372e5e01.jpg...\n", "Copying gs://detectmysetup/train/240a0703a4ff4b01.jpg...\n", "Copying gs://detectmysetup/train/240dd21a6ea8ee24.jpg...\n", "Copying gs://detectmysetup/train/241d3b115edbde7e.jpg...\n", "Copying gs://detectmysetup/train/2424806b7a06ad64.jpg...\n", "Copying gs://detectmysetup/train/24277d9c0d5fef7a.jpg...\n", "Copying gs://detectmysetup/train/242b782c4b7a2e38.jpg...\n", "Copying gs://detectmysetup/train/243589e30b1ee50b.jpg...\n", "Copying gs://detectmysetup/train/24359866d7b72974.jpg...\n", "Copying gs://detectmysetup/train/243e5c6677ba43f7.jpg...\n", "Copying gs://detectmysetup/train/243e6f38309d4511.jpg...\n", "Copying gs://detectmysetup/train/243fc5ef9d6f18fd.jpg...\n", "Copying gs://detectmysetup/train/2441a622139603ad.jpg...\n", "Copying gs://detectmysetup/train/244ccc93c0b8f201.jpg...\n", "Copying gs://detectmysetup/train/2452d5ebf7438cb9.jpg...\n", "Copying gs://detectmysetup/train/2455aed57d4fec7c.jpg...\n", "Copying gs://detectmysetup/train/24599ec3213b8901.jpg...\n", "Copying gs://detectmysetup/train/2462bc7ba8cd69d5.jpg...\n", "Copying gs://detectmysetup/train/2463159f2ea695a4.jpg...\n", "Copying gs://detectmysetup/train/246f425d7b6f5221.jpg...\n", "Copying gs://detectmysetup/train/24715b9888966e73.jpg...\n", "Copying gs://detectmysetup/train/247319763dd94f93.jpg...\n", "Copying gs://detectmysetup/train/2474c01d19a30172.jpg...\n", "Copying gs://detectmysetup/train/248346ddf1b56670.jpg...\n", "Copying gs://detectmysetup/train/248351743b9ba0d5.jpg...\n", "Copying gs://detectmysetup/train/2495b9650038974a.jpg...\n", "Copying gs://detectmysetup/train/249900089c651a9e.jpg...\n", "Copying gs://detectmysetup/train/249c44f54ae95bc8.jpg...\n", "Copying gs://detectmysetup/train/249f026d27bf58a3.jpg...\n", "Copying gs://detectmysetup/train/24a5e6a84e527e19.jpg...\n", "Copying gs://detectmysetup/train/24a81c8f2bd1a1be.jpg...\n", "Copying gs://detectmysetup/train/24b2cf4cda57bb76.jpg...\n", "Copying gs://detectmysetup/train/24b2f9c41584f34e.jpg...\n", "Copying gs://detectmysetup/train/24c7e8f4f2ae289b.jpg...\n", "Copying gs://detectmysetup/train/24ca69148ee39e22.jpg...\n", "Copying gs://detectmysetup/train/24ce39e193f78a5e.jpg...\n", "Copying gs://detectmysetup/train/24d41d990da55b7a.jpg...\n", "Copying gs://detectmysetup/train/24d70060cc785669.jpg...\n", "Copying gs://detectmysetup/train/24dc235273bed28f.jpg...\n", "Copying gs://detectmysetup/train/24f3ccaa4ea161a8.jpg...\n", "Copying gs://detectmysetup/train/24f972c18918a64f.jpg...\n", "Copying gs://detectmysetup/train/24fba095409f1dcb.jpg...\n", "Copying gs://detectmysetup/train/24fd1035babdfb65.jpg...\n", "Copying gs://detectmysetup/train/24fd8ac6629464be.jpg...\n", "Copying gs://detectmysetup/train/25058d82e4b0cc0b.jpg...\n", "Copying gs://detectmysetup/train/250c03103bb7c7d0.jpg...\n", "Copying gs://detectmysetup/train/250db24719d4970e.jpg...\n", "Copying gs://detectmysetup/train/25177d06e1fbb86a.jpg...\n", "Copying gs://detectmysetup/train/252279bcdada68f9.jpg...\n", "Copying gs://detectmysetup/train/25236cc3630bb279.jpg...\n", "Copying gs://detectmysetup/train/2527a87f5190273e.jpg...\n", "Copying gs://detectmysetup/train/253402c3e1a54cbf.jpg...\n", "Copying gs://detectmysetup/train/253514bd970de753.jpg...\n", "Copying gs://detectmysetup/train/2535a8f200d9f39d.jpg...\n", "Copying gs://detectmysetup/train/2536403e84e0708d.jpg...\n", "Copying gs://detectmysetup/train/2536dc12d770b355.jpg...\n", "Copying gs://detectmysetup/train/253c67b70c1c8bad.jpg...\n", "Copying gs://detectmysetup/train/25406bf5dc8f8554.jpg...\n", "Copying gs://detectmysetup/train/254c437d789f602d.jpg...\n", "Copying gs://detectmysetup/train/2541036f3cfb1432.jpg...\n", "Copying gs://detectmysetup/train/2556c8ea2caf468e.jpg...\n", "Copying gs://detectmysetup/train/2558723ab6cfdb8c.jpg...\n", "Copying gs://detectmysetup/train/255de708c93907cc.jpg...\n", "Copying gs://detectmysetup/train/2565b670f5c8d568.jpg...\n", "Copying gs://detectmysetup/train/256f0dec7b9378d0.jpg...\n", "Copying gs://detectmysetup/train/2574d234e9f0f2bb.jpg...\n", "Copying gs://detectmysetup/train/257a4392fa3587ba.jpg...\n", "Copying gs://detectmysetup/train/257bcc2979ae4137.jpg...\n", "Copying gs://detectmysetup/train/259000db6d123e9f.jpg...\n", "Copying gs://detectmysetup/train/25906f76e4d24ffb.jpg...\n", "Copying gs://detectmysetup/train/2596d9184c3feeb8.jpg...\n", "Copying gs://detectmysetup/train/2598a43dea5890c4.jpg...\n", "Copying gs://detectmysetup/train/25a210da96e1f6c8.jpg...\n", "Copying gs://detectmysetup/train/25a6019b5eeee509.jpg...\n", "Copying gs://detectmysetup/train/25ab641d9bb121e5.jpg...\n", "Copying gs://detectmysetup/train/25b6690b45725c64.jpg...\n", "Copying gs://detectmysetup/train/25ba21ce1157001d.jpg...\n", "Copying gs://detectmysetup/train/25b6f11e40d350a0.jpg...\n", "Copying gs://detectmysetup/train/25c03533568d1557.jpg...\n", "Copying gs://detectmysetup/train/25c382169fab02e6.jpg...\n", "Copying gs://detectmysetup/train/25ca223d94c7fa32.jpg...\n", "Copying gs://detectmysetup/train/25cfc50a87f44e35.jpg...\n", "Copying gs://detectmysetup/train/25d8358103eb68ad.jpg...\n", "Copying gs://detectmysetup/train/25d9b3d7f7385a95.jpg...\n", "Copying gs://detectmysetup/train/25d97fc2cb51eb28.jpg...\n", "Copying gs://detectmysetup/train/25e01d25997a0ed3.jpg...\n", "Copying gs://detectmysetup/train/25ee771fe04b07f3.jpg...\n", "Copying gs://detectmysetup/train/25f170893e41bc83.jpg...\n", "Copying gs://detectmysetup/train/25f4f856bb5a7088.jpg...\n", "Copying gs://detectmysetup/train/25f62102003ab1f7.jpg...\n", "Copying gs://detectmysetup/train/25f8805634f6f0f3.jpg...\n", "Copying gs://detectmysetup/train/25fa415a71a65dba.jpg...\n", "Copying gs://detectmysetup/train/25fa51fa5381d27f.jpg...\n", "Copying gs://detectmysetup/train/25fadef2295009fd.jpg...\n", "Copying gs://detectmysetup/train/25fde8355d8de459.jpg...\n", "Copying gs://detectmysetup/train/2601a507afe4be3c.jpg...\n", "Copying gs://detectmysetup/train/260388849f7ceae6.jpg...\n", "Copying gs://detectmysetup/train/26108340beef2500.jpg...\n", "Copying gs://detectmysetup/train/26129c8884efdb4f.jpg...\n", "Copying gs://detectmysetup/train/26146b085557d445.jpg...\n", "Copying gs://detectmysetup/train/261d0c5b506dd3f3.jpg...\n", "Copying gs://detectmysetup/train/261fe99e44c2d668.jpg...\n", "Copying gs://detectmysetup/train/26205a6bd7c535c7.jpg...\n", "Copying gs://detectmysetup/train/262d76c5a1e190f8.jpg...\n", "Copying gs://detectmysetup/train/263ccf52baf35fe8.jpg...\n", "Copying gs://detectmysetup/train/26451562e6d5de0b.jpg...\n", "Copying gs://detectmysetup/train/265c6ea32ed20d43.jpg...\n", "Copying gs://detectmysetup/train/26677971ef93ebdf.jpg...\n", "Copying gs://detectmysetup/train/266c5c06d58b8b43.jpg...\n", "Copying gs://detectmysetup/train/2672d71d3ad368b7.jpg...\n", "Copying gs://detectmysetup/train/2676892f96516a4b.jpg...\n", "Copying gs://detectmysetup/train/267dadfde6f41643.jpg...\n", "Copying gs://detectmysetup/train/267e6a6c01e2c819.jpg...\n", "Copying gs://detectmysetup/train/268098acccb9b61d.jpg...\n", "Copying gs://detectmysetup/train/26820e907f7068f7.jpg...\n", "Copying gs://detectmysetup/train/26843e2a6d18a23d.jpg...\n", "Copying gs://detectmysetup/train/2687bcd22dde6fa9.jpg...\n", "Copying gs://detectmysetup/train/268b33cbf49ed1f0.jpg...\n", "Copying gs://detectmysetup/train/268d2982c793248a.jpg...\n", "Copying gs://detectmysetup/train/26a15447c35c2104.jpg...\n", "Copying gs://detectmysetup/train/26b1f80092a5b8c4.jpg...\n", "Copying gs://detectmysetup/train/26b46a315bc989ae.jpg...\n", "Copying gs://detectmysetup/train/26b9e690952a98ed.jpg...\n", "Copying gs://detectmysetup/train/26d3becaa60934eb.jpg...\n", "Copying gs://detectmysetup/train/26d407a57c1fa553.jpg...\n", "Copying gs://detectmysetup/train/26d658b74d9449c9.jpg...\n", "Copying gs://detectmysetup/train/26df10c8dce714a8.jpg...\n", "Copying gs://detectmysetup/train/26e7ba366f740ef8.jpg...\n", "Copying gs://detectmysetup/train/26ef70c319d3c7c8.jpg...\n", "Copying gs://detectmysetup/train/26f3be77e356cd20.jpg...\n", "Copying gs://detectmysetup/train/26fcfb14a5d41ab9.jpg...\n", "Copying gs://detectmysetup/train/2703f23767518daa.jpg...\n", "Copying gs://detectmysetup/train/27082bdcf37c6567.jpg...\n", "Copying gs://detectmysetup/train/2709271c027bc581.jpg...\n", "Copying gs://detectmysetup/train/270d74202f6b844f.jpg...\n", "Copying gs://detectmysetup/train/272933d14d8aee5c.jpg...\n", "Copying gs://detectmysetup/train/273df1a961b0e2a8.jpg...\n", "Copying gs://detectmysetup/train/273f8da832194114.jpg...\n", "Copying gs://detectmysetup/train/274a1af7be34f140.jpg...\n", "Copying gs://detectmysetup/train/274b391241f795f9.jpg...\n", "Copying gs://detectmysetup/train/275485360fae06a7.jpg...\n", "Copying gs://detectmysetup/train/276400630917f529.jpg...\n", "Copying gs://detectmysetup/train/2770919b8020fc95.jpg...\n", "Copying gs://detectmysetup/train/277497a1666b8800.jpg...\n", "Copying gs://detectmysetup/train/2775ee46bd3fae3c.jpg...\n", "Copying gs://detectmysetup/train/2777be42c0510325.jpg...\n", "Copying gs://detectmysetup/train/2777e047c100b672.jpg...\n", "Copying gs://detectmysetup/train/2778d5a7ea400111.jpg...\n", "Copying gs://detectmysetup/train/278bc7953a2846aa.jpg...\n", "Copying gs://detectmysetup/train/278f5436ce1f0b32.jpg...\n", "Copying gs://detectmysetup/train/279d9b59b1b6292a.jpg...\n", "Copying gs://detectmysetup/train/27a4b3d01ab7cc72.jpg...\n", "Copying gs://detectmysetup/train/27bc1d00c7864a8d.jpg...\n", "Copying gs://detectmysetup/train/27bfa71409ad4828.jpg...\n", "Copying gs://detectmysetup/train/27c0205776d4be2d.jpg...\n", "Copying gs://detectmysetup/train/27c90ab2414a9a48.jpg...\n", "Copying gs://detectmysetup/train/27d8b9f15cc6b6c4.jpg...\n", "Copying gs://detectmysetup/train/27dc661da2430483.jpg...\n", "Copying gs://detectmysetup/train/27de09c9791ade6f.jpg...\n", "Copying gs://detectmysetup/train/27e0a45879e9c53b.jpg...\n", "Copying gs://detectmysetup/train/27e31fd6314d3284.jpg...\n", "Copying gs://detectmysetup/train/2805d2eb4f89b749.jpg...\n", "Copying gs://detectmysetup/train/28071edba3066a06.jpg...\n", "Copying gs://detectmysetup/train/2809e1cdb322380f.jpg...\n", "Copying gs://detectmysetup/train/28322818358de683.jpg...\n", "Copying gs://detectmysetup/train/281a6591b650fd5b.jpg...\n", "Copying gs://detectmysetup/train/2828112801c0dd49.jpg...\n", "Copying gs://detectmysetup/train/281f803d404387bd.jpg...\n", "Copying gs://detectmysetup/train/28404b4c59cd2265.jpg...\n", "Copying gs://detectmysetup/train/2838b7a7269f737f.jpg...\n", "Copying gs://detectmysetup/train/2841831b98b817a4.jpg...\n", "Copying gs://detectmysetup/train/284a053c78edb98a.jpg...\n", "Copying gs://detectmysetup/train/284aaab4224c1785.jpg...\n", "Copying gs://detectmysetup/train/284cc91d96ef8927.jpg...\n", "Copying gs://detectmysetup/train/284cce60cf5e60ee.jpg...\n", "Copying gs://detectmysetup/train/2850703bee102b99.jpg...\n", "Copying gs://detectmysetup/train/285174e75cc780a6.jpg...\n", "Copying gs://detectmysetup/train/2851fffcdea58286.jpg...\n", "Copying gs://detectmysetup/train/2852fd0b674ec407.jpg...\n", "Copying gs://detectmysetup/train/28568022d7f16bc4.jpg...\n", "Copying gs://detectmysetup/train/286b24feae61222f.jpg...\n", "Copying gs://detectmysetup/train/286ca07d7c661964.jpg...\n", "Copying gs://detectmysetup/train/286efb8d0bd6749d.jpg...\n", "Copying gs://detectmysetup/train/2871a0ebf65fd8fa.jpg...\n", "Copying gs://detectmysetup/train/2875981235cc3201.jpg...\n", "Copying gs://detectmysetup/train/2877134f90086e32.jpg...\n", "Copying gs://detectmysetup/train/287728ce976cfde5.jpg...\n", "Copying gs://detectmysetup/train/287d360652f4ec14.jpg...\n", "Copying gs://detectmysetup/train/2887782a8b90bfa3.jpg...\n", "Copying gs://detectmysetup/train/288d8ff8abb58342.jpg...\n", "Copying gs://detectmysetup/train/288ff8cc60717d5c.jpg...\n", "Copying gs://detectmysetup/train/289002780ead9c13.jpg...\n", "Copying gs://detectmysetup/train/289a67e8ccdf91f0.jpg...\n", "Copying gs://detectmysetup/train/28b1f55f059e8aba.jpg...\n", "Copying gs://detectmysetup/train/28b97fb395256166.jpg...\n", "Copying gs://detectmysetup/train/28c33597e43645d0.jpg...\n", "Copying gs://detectmysetup/train/28cc9374f9413518.jpg...\n", "Copying gs://detectmysetup/train/28d0a7a7b84d59f0.jpg...\n", "Copying gs://detectmysetup/train/28d0bf8c6c587b82.jpg...\n", "Copying gs://detectmysetup/train/28d71b2747cdddb8.jpg...\n", "Copying gs://detectmysetup/train/28dc79c4e39fd5d3.jpg...\n", "Copying gs://detectmysetup/train/28d76d44a07a69d3.jpg...\n", "Copying gs://detectmysetup/train/28df7ff9962bcfc9.jpg...\n", "Copying gs://detectmysetup/train/28e745e7afde9840.jpg...\n", "Copying gs://detectmysetup/train/28eb7c790818af25.jpg...\n", "Copying gs://detectmysetup/train/28ed875cfc06a7a8.jpg...\n", "Copying gs://detectmysetup/train/28eee2bb6a272a1d.jpg...\n", "Copying gs://detectmysetup/train/28f2e88da2103354.jpg...\n", "Copying gs://detectmysetup/train/28f427ac4b971abc.jpg...\n", "Copying gs://detectmysetup/train/28f618a7e62188b2.jpg...\n", "Copying gs://detectmysetup/train/28f9ffaddfbd7e50.jpg...\n", "Copying gs://detectmysetup/train/28fe44b8537a3774.jpg...\n", "Copying gs://detectmysetup/train/29001d39febca788.jpg...\n", "Copying gs://detectmysetup/train/2915da5e0c76d18d.jpg...\n", "Copying gs://detectmysetup/train/291cd800e646fb1c.jpg...\n", "Copying gs://detectmysetup/train/2929d7a50c01b07f.jpg...\n", "Copying gs://detectmysetup/train/293ee52435cf9093.jpg...\n", "Copying gs://detectmysetup/train/2941c5ad4c494efb.jpg...\n", "Copying gs://detectmysetup/train/2944d1b4eae3aef4.jpg...\n", "Copying gs://detectmysetup/train/294621178269dd01.jpg...\n", "Copying gs://detectmysetup/train/2964dc4a2263731d.jpg...\n", "Copying gs://detectmysetup/train/2951a28dc4ad3150.jpg...\n", "Copying gs://detectmysetup/train/296d1c0cb63e906b.jpg...\n", "Copying gs://detectmysetup/train/297037d3f8ea16ef.jpg...\n", "Copying gs://detectmysetup/train/2973eaf9ebd180c9.jpg...\n", "Copying gs://detectmysetup/train/2977c4dfa069b0e9.jpg...\n", "Copying gs://detectmysetup/train/298904a011bd1012.jpg...\n", "Copying gs://detectmysetup/train/298c143f517cf4e4.jpg...\n", "Copying gs://detectmysetup/train/2998f2856d2a5fdb.jpg...\n", "Copying gs://detectmysetup/train/299e5bcde978b58b.jpg...\n", "Copying gs://detectmysetup/train/29a9f742aee05d90.jpg...\n", "Copying gs://detectmysetup/train/29ad8f5764316fbe.jpg...\n", "Copying gs://detectmysetup/train/29bb38dac5a6ed02.jpg...\n", "Copying gs://detectmysetup/train/29be9e57a3c29809.jpg...\n", "Copying gs://detectmysetup/train/29c26c225de1f29b.jpg...\n", "Copying gs://detectmysetup/train/29c304088ffa8737.jpg...\n", "Copying gs://detectmysetup/train/29c86706edc91a0f.jpg...\n", "Copying gs://detectmysetup/train/29c9cc427daa74bf.jpg...\n", "Copying gs://detectmysetup/train/29c9e99abd2bd117.jpg...\n", "Copying gs://detectmysetup/train/29cad80c5bb8ef66.jpg...\n", "Copying gs://detectmysetup/train/29d3e68384fca434.jpg...\n", "Copying gs://detectmysetup/train/29d7b83afd18ad3a.jpg...\n", "Copying gs://detectmysetup/train/29d766fb60ee68d7.jpg...\n", "Copying gs://detectmysetup/train/29e884f4d846547e.jpg...\n", "Copying gs://detectmysetup/train/29fd8fe44651d97f.jpg...\n", "Copying gs://detectmysetup/train/2a0d74265a679ae5.jpg...\n", "Copying gs://detectmysetup/train/2a0e963a98862dba.jpg...\n", "Copying gs://detectmysetup/train/2a173805f961c2ca.jpg...\n", "Copying gs://detectmysetup/train/2a2b2158ce12ba85.jpg...\n", "Copying gs://detectmysetup/train/2a2dc7fdf71b9675.jpg...\n", "Copying gs://detectmysetup/train/2a35f88cebfa0c1c.jpg...\n", "Copying gs://detectmysetup/train/2a4fe24abac70d1f.jpg...\n", "Copying gs://detectmysetup/train/2a5c2a1344fc4a5f.jpg...\n", "Copying gs://detectmysetup/train/2a5c45674c402276.jpg...\n", "Copying gs://detectmysetup/train/2a5c6900fc291fbb.jpg...\n", "Copying gs://detectmysetup/train/2a61d77d6d06686a.jpg...\n", "Copying gs://detectmysetup/train/2a676fb9ea88b3ea.jpg...\n", "Copying gs://detectmysetup/train/2a6eca7ad26eda07.jpg...\n", "Copying gs://detectmysetup/train/2a738a02eccd8a02.jpg...\n", "Copying gs://detectmysetup/train/2a842d3872ab6d56.jpg...\n", "Copying gs://detectmysetup/train/2a8865618510dfee.jpg...\n", "Copying gs://detectmysetup/train/2a88d8116637de20.jpg...\n", "Copying gs://detectmysetup/train/2a8d27522b0b9bcd.jpg...\n", "Copying gs://detectmysetup/train/2a9b52b33ae6a8d8.jpg...\n", "Copying gs://detectmysetup/train/2aba925228d82526.jpg...\n", "Copying gs://detectmysetup/train/2a9fd8f34bf9ab15.jpg...\n", "Copying gs://detectmysetup/train/2aa9cc1b56d73a99.jpg...\n", "Copying gs://detectmysetup/train/2ab9f49d7d2ec625.jpg...\n", "Copying gs://detectmysetup/train/2ac18c3299534c00.jpg...\n", "Copying gs://detectmysetup/train/2abc5ac07e23f936.jpg...\n", "Copying gs://detectmysetup/train/2ac5e12535e39c7a.jpg...\n", "Copying gs://detectmysetup/train/2ac9de8a834b6d9b.jpg...\n", "Copying gs://detectmysetup/train/2adbe0996e804567.jpg...\n", "Copying gs://detectmysetup/train/2ae158d6491b1df6.jpg...\n", "Copying gs://detectmysetup/train/2aea2f3586dcb2d8.jpg...\n", "Copying gs://detectmysetup/train/2aec3f3099bfe8e9.jpg...\n", "Copying gs://detectmysetup/train/2afc924962c80bf0.jpg...\n", "Copying gs://detectmysetup/train/2affe3dc11648eaf.jpg...\n", "Copying gs://detectmysetup/train/2b0728c5b7de1267.jpg...\n", "Copying gs://detectmysetup/train/2b0b68ee636a33c0.jpg...\n", "Copying gs://detectmysetup/train/2b0e28d7e07e7394.jpg...\n", "Copying gs://detectmysetup/train/2b133f90207f3fa6.jpg...\n", "Copying gs://detectmysetup/train/2b1dd0009abdbe9a.jpg...\n", "Copying gs://detectmysetup/train/2b1decb2b792b044.jpg...\n", "Copying gs://detectmysetup/train/2b2241bd34897d37.jpg...\n", "Copying gs://detectmysetup/train/2b22674571579daa.jpg...\n", "Copying gs://detectmysetup/train/2b304de4a33db098.jpg...\n", "Copying gs://detectmysetup/train/2b2f91a395888c22.jpg...\n", "Copying gs://detectmysetup/train/2b3ad7d53f37c737.jpg...\n", "Copying gs://detectmysetup/train/2b3bf959c0156703.jpg...\n", "Copying gs://detectmysetup/train/2b418b05663c7f90.jpg...\n", "Copying gs://detectmysetup/train/2b43512e4bd6bfa6.jpg...\n", "Copying gs://detectmysetup/train/2b442a38fc2ac697.jpg...\n", "Copying gs://detectmysetup/train/2b4677d353154e96.jpg...\n", "Copying gs://detectmysetup/train/2b4f780c6bf75605.jpg...\n", "Copying gs://detectmysetup/train/2b6195418f61acab.jpg...\n", "Copying gs://detectmysetup/train/2b699a423bd31b84.jpg...\n", "Copying gs://detectmysetup/train/2b6c4c0ae24ff036.jpg...\n", "Copying gs://detectmysetup/train/2b6d4413dd0a8540.jpg...\n", "Copying gs://detectmysetup/train/2b6d667e8df5e236.jpg...\n", "Copying gs://detectmysetup/train/2b6da65c540f5306.jpg...\n", "Copying gs://detectmysetup/train/2b6fe9e0b1af810b.jpg...\n", "Copying gs://detectmysetup/train/2b8800b25c6427f9.jpg...\n", "Copying gs://detectmysetup/train/2b919b4060cfdc98.jpg...\n", "Copying gs://detectmysetup/train/2b96aa9cd0fefa07.jpg...\n", "Copying gs://detectmysetup/train/2b97fad5d95006d7.jpg...\n", "Copying gs://detectmysetup/train/2b99fc4a24b1167b.jpg...\n", "Copying gs://detectmysetup/train/2ba0513c03ddcf8e.jpg...\n", "Copying gs://detectmysetup/train/2ba49a82a579f390.jpg...\n", "Copying gs://detectmysetup/train/2ba9de100b7fec34.jpg...\n", "Copying gs://detectmysetup/train/2bb4794ac29f2518.jpg...\n", "Copying gs://detectmysetup/train/2bbcd56348a3374c.jpg...\n", "Copying gs://detectmysetup/train/2bc692ac0f27b2ba.jpg...\n", "Copying gs://detectmysetup/train/2bd05b16d39eec63.jpg...\n", "Copying gs://detectmysetup/train/2bdafffe69b1bef6.jpg...\n", "Copying gs://detectmysetup/train/2bed943d61e51c0e.jpg...\n", "Copying gs://detectmysetup/train/2bea1aec972afffe.jpg...\n", "Copying gs://detectmysetup/train/2bf42814edf0e2fc.jpg...\n", "Copying gs://detectmysetup/train/2bf5e0a0c30af713.jpg...\n", "Copying gs://detectmysetup/train/2bfbf5f35f11c4fe.jpg...\n", "Copying gs://detectmysetup/train/2bfcf1c3a717083e.jpg...\n", "Copying gs://detectmysetup/train/2bfe65e7cbbf75a0.jpg...\n", "Copying gs://detectmysetup/train/2c017ed2b1c8bc62.jpg...\n", "Copying gs://detectmysetup/train/2c01e50bf33da54e.jpg...\n", "Copying gs://detectmysetup/train/2c0e1a872f1eb25c.jpg...\n", "Copying gs://detectmysetup/train/2c0cfdbb9df2207e.jpg...\n", "Copying gs://detectmysetup/train/2c1163b8b889c52a.jpg...\n", "Copying gs://detectmysetup/train/2c1909ac07c2f99c.jpg...\n", "Copying gs://detectmysetup/train/2c34f5675db4f452.jpg...\n", "Copying gs://detectmysetup/train/2c396943b87e2a99.jpg...\n", "Copying gs://detectmysetup/train/2c3ecc9d1573f00e.jpg...\n", "Copying gs://detectmysetup/train/2c44d46c6e91adcf.jpg...\n", "Copying gs://detectmysetup/train/2c4ab44aad0b3956.jpg...\n", "Copying gs://detectmysetup/train/2c51ce53e465d770.jpg...\n", "Copying gs://detectmysetup/train/2c586810c0da67f4.jpg...\n", "Copying gs://detectmysetup/train/2c5d7df5d48ad20a.jpg...\n", "Copying gs://detectmysetup/train/2c647477fb8a93b5.jpg...\n", "Copying gs://detectmysetup/train/2c66a72fa050ae25.jpg...\n", "Copying gs://detectmysetup/train/2c686573306c4c29.jpg...\n", "Copying gs://detectmysetup/train/2c686faf6e99cac6.jpg...\n", "Copying gs://detectmysetup/train/2c68756f563e3b33.jpg...\n", "Copying gs://detectmysetup/train/2c6b62d2efe41913.jpg...\n", "Copying gs://detectmysetup/train/2c6ba58cf7a93155.jpg...\n", "Copying gs://detectmysetup/train/2c6d20e7063cf2b1.jpg...\n", "Copying gs://detectmysetup/train/2c782306b8a10ac7.jpg...\n", "Copying gs://detectmysetup/train/2c787c6d61ca28bb.jpg...\n", "Copying gs://detectmysetup/train/2c7e6a663e83d748.jpg...\n", "Copying gs://detectmysetup/train/2c8206d36c5089bd.jpg...\n", "Copying gs://detectmysetup/train/2c8dc60b16ba2598.jpg...\n", "Copying gs://detectmysetup/train/2c924051fa2ea4b0.jpg...\n", "Copying gs://detectmysetup/train/2caa19897c6220ba.jpg...\n", "Copying gs://detectmysetup/train/2caa7add3c49e713.jpg...\n", "Copying gs://detectmysetup/train/2cab582db97cf352.jpg...\n", "Copying gs://detectmysetup/train/2cae8774fca6b3c0.jpg...\n", "Copying gs://detectmysetup/train/2cb031a75ad19293.jpg...\n", "Copying gs://detectmysetup/train/2cb2705309ea4c2d.jpg...\n", "Copying gs://detectmysetup/train/2cbe13727e8fbf99.jpg...\n", "Copying gs://detectmysetup/train/2cc544ae0e688a5a.jpg...\n", "Copying gs://detectmysetup/train/2cc71b33393ce427.jpg...\n", "Copying gs://detectmysetup/train/2cd2e8a48409b787.jpg...\n", "Copying gs://detectmysetup/train/2cd4216401c42764.jpg...\n", "Copying gs://detectmysetup/train/2cd7d8d8b9014c8e.jpg...\n", "Copying gs://detectmysetup/train/2cd850117b625ec8.jpg...\n", "Copying gs://detectmysetup/train/2cdccdf80d1171df.jpg...\n", "Copying gs://detectmysetup/train/2cdd3fb379217ac3.jpg...\n", "Copying gs://detectmysetup/train/2cdf7be3ba1ca863.jpg...\n", "Copying gs://detectmysetup/train/2ce393f639aafea7.jpg...\n", "Copying gs://detectmysetup/train/2cec5d4d3f1cbb43.jpg...\n", "Copying gs://detectmysetup/train/2cefb5ea6518e6c2.jpg...\n", "Copying gs://detectmysetup/train/2d0258a962a17163.jpg...\n", "Copying gs://detectmysetup/train/2d0634086d30efdc.jpg...\n", "Copying gs://detectmysetup/train/2d0b36fd9bdd79b4.jpg...\n", "Copying gs://detectmysetup/train/2d145d5194cbf4ee.jpg...\n", "Copying gs://detectmysetup/train/2d15467e25f21463.jpg...\n", "Copying gs://detectmysetup/train/2d16a813e83b2c9e.jpg...\n", "Copying gs://detectmysetup/train/2d1b5e3d745c480f.jpg...\n", "Copying gs://detectmysetup/train/2d22463bbb238136.jpg...\n", "Copying gs://detectmysetup/train/2d335e3b41382c6e.jpg...\n", "Copying gs://detectmysetup/train/2d37b7c0044056b5.jpg...\n", "Copying gs://detectmysetup/train/2d3b376fa292d0ce.jpg...\n", "Copying gs://detectmysetup/train/2d3bcefcbf27e5b5.jpg...\n", "Copying gs://detectmysetup/train/2d3e830e266531ac.jpg...\n", "Copying gs://detectmysetup/train/2d40bfa3cfe95187.jpg...\n", "Copying gs://detectmysetup/train/2d490bfbc4977b4b.jpg...\n", "Copying gs://detectmysetup/train/2d5689f81bc6ed9f.jpg...\n", "Copying gs://detectmysetup/train/2d58d99207f81121.jpg...\n", "Copying gs://detectmysetup/train/2d5bd1a476a2af04.jpg...\n", "Copying gs://detectmysetup/train/2d65461960b5a10a.jpg...\n", "Copying gs://detectmysetup/train/2d6797facb1eb7bf.jpg...\n", "Copying gs://detectmysetup/train/2d70d669fc9d5b3a.jpg...\n", "Copying gs://detectmysetup/train/2d70fc79573ec20c.jpg...\n", "Copying gs://detectmysetup/train/2d88a3e3076288c2.jpg...\n", "Copying gs://detectmysetup/train/2d891cb20df39ac0.jpg...\n", "Copying gs://detectmysetup/train/2d8929b24cc02c91.jpg...\n", "Copying gs://detectmysetup/train/2d899ae440ee3e13.jpg...\n", "Copying gs://detectmysetup/train/2d8a2aee0050b8ae.jpg...\n", "Copying gs://detectmysetup/train/2d8d1de76b2b86c0.jpg...\n", "Copying gs://detectmysetup/train/2d90645451b987fe.jpg...\n", "Copying gs://detectmysetup/train/2d9355dade8f8c0c.jpg...\n", "Copying gs://detectmysetup/train/2d97ad6063be782e.jpg...\n", "Copying gs://detectmysetup/train/2d981e62c243faa6.jpg...\n", "Copying gs://detectmysetup/train/2d9cab5796c2320f.jpg...\n", "Copying gs://detectmysetup/train/2d9e0725595fbe82.jpg...\n", "Copying gs://detectmysetup/train/2d9eec2f173b1a8a.jpg...\n", "Copying gs://detectmysetup/train/2da243c2178b5f54.jpg...\n", "Copying gs://detectmysetup/train/2da04342590178aa.jpg...\n", "Copying gs://detectmysetup/train/2da370187567def4.jpg...\n", "Copying gs://detectmysetup/train/2da38c8e7225ee9b.jpg...\n", "Copying gs://detectmysetup/train/2dadfc6e44a74844.jpg...\n", "Copying gs://detectmysetup/train/2db56fed2f7c5d37.jpg...\n", "Copying gs://detectmysetup/train/2dbf54a6cb0b44bf.jpg...\n", "Copying gs://detectmysetup/train/2dc16ace223a34a1.jpg...\n", "Copying gs://detectmysetup/train/2dd3cb197a5034d9.jpg...\n", "Copying gs://detectmysetup/train/2dd89a0ac8f9d12a.jpg...\n", "Copying gs://detectmysetup/train/2de1b8318cf2f344.jpg...\n", "Copying gs://detectmysetup/train/2de4752fbeb8baab.jpg...\n", "Copying gs://detectmysetup/train/2df2bcd075f8d453.jpg...\n", "Copying gs://detectmysetup/train/2e10ccc2cb681527.jpg...\n", "Copying gs://detectmysetup/train/2e1b3b7302bd13e7.jpg...\n", "Copying gs://detectmysetup/train/2e279f9670e2ade2.jpg...\n", "Copying gs://detectmysetup/train/2e2df086ab54603f.jpg...\n", "Copying gs://detectmysetup/train/2e373c5a5843bf4c.jpg...\n", "Copying gs://detectmysetup/train/2e38923206f66cb3.jpg...\n", "Copying gs://detectmysetup/train/2e3f4c536bef05c4.jpg...\n", "Copying gs://detectmysetup/train/2e56a00f9052301a.jpg...\n", "Copying gs://detectmysetup/train/2e6504c10dc4ab31.jpg...\n", "Copying gs://detectmysetup/train/2e683ef92536dc7b.jpg...\n", "Copying gs://detectmysetup/train/2e708e1b720735e1.jpg...\n", "Copying gs://detectmysetup/train/2e739e5201e3d2c8.jpg...\n", "Copying gs://detectmysetup/train/2e8107fc2192ca08.jpg...\n", "Copying gs://detectmysetup/train/2e8827f70517c58c.jpg...\n", "Copying gs://detectmysetup/train/2e81173ec244e2b5.jpg...\n", "Copying gs://detectmysetup/train/2e95eed56c57d75d.jpg...\n", "Copying gs://detectmysetup/train/2e9a42698abd0a1b.jpg...\n", "Copying gs://detectmysetup/train/2e9b1f9222a76ece.jpg...\n", "Copying gs://detectmysetup/train/2eb3607f3cd94468.jpg...\n", "Copying gs://detectmysetup/train/2ec107a852305ddb.jpg...\n", "Copying gs://detectmysetup/train/2ec330f36d65ebf3.jpg...\n", "Copying gs://detectmysetup/train/2ec8e69eb63a904c.jpg...\n", "Copying gs://detectmysetup/train/2ec93209ecb3d2b1.jpg...\n", "Copying gs://detectmysetup/train/2eca20928ade4972.jpg...\n", "Copying gs://detectmysetup/train/2eccdbf37d6c5e7a.jpg...\n", "Copying gs://detectmysetup/train/2ed911a2246f5875.jpg...\n", "Copying gs://detectmysetup/train/2ee0aec34d50ae08.jpg...\n", "Copying gs://detectmysetup/train/2ed4b43904988997.jpg...\n", "Copying gs://detectmysetup/train/2ee2c1cbacfbb78c.jpg...\n", "Copying gs://detectmysetup/train/2ef3884f346fd23b.jpg...\n", "Copying gs://detectmysetup/train/2ef3fa1546607ce3.jpg...\n", "Copying gs://detectmysetup/train/2ef440d671c286e5.jpg...\n", "Copying gs://detectmysetup/train/2ef53f943299a87c.jpg...\n", "Copying gs://detectmysetup/train/2f03ca53ac037b6a.jpg...\n", "Copying gs://detectmysetup/train/2f0c18bec04c25e3.jpg...\n", "Copying gs://detectmysetup/train/2f0faf2ffd36a2ce.jpg...\n", "Copying gs://detectmysetup/train/2f19ee065ad3eb60.jpg...\n", "Copying gs://detectmysetup/train/2f1a247084f124cb.jpg...\n", "Copying gs://detectmysetup/train/2f1ddcc07f127ea8.jpg...\n", "Copying gs://detectmysetup/train/2f24cf048d606f52.jpg...\n", "Copying gs://detectmysetup/train/2f2737ee9a725997.jpg...\n", "Copying gs://detectmysetup/train/2f2cf7595c837e49.jpg...\n", "Copying gs://detectmysetup/train/2f2d8e6682482787.jpg...\n", "Copying gs://detectmysetup/train/2f3802c478919e25.jpg...\n", "Copying gs://detectmysetup/train/2f3a1ff2202b1170.jpg...\n", "Copying gs://detectmysetup/train/2f3a5d6a791456cc.jpg...\n", "Copying gs://detectmysetup/train/2f3c4ee907302617.jpg...\n", "Copying gs://detectmysetup/train/2f453a124ee9ab70.jpg...\n", "Copying gs://detectmysetup/train/2f50f9729a803fe0.jpg...\n", "Copying gs://detectmysetup/train/2f510f79e933553a.jpg...\n", "Copying gs://detectmysetup/train/2f514a643f9e0bc7.jpg...\n", "Copying gs://detectmysetup/train/2f5585404ae19d06.jpg...\n", "Copying gs://detectmysetup/train/2f5f5463ee829367.jpg...\n", "Copying gs://detectmysetup/train/2f77ca0ecfe677c4.jpg...\n", "Copying gs://detectmysetup/train/2f754d98f8ea352a.jpg...\n", "Copying gs://detectmysetup/train/2f7c03db215fdb3f.jpg...\n", "Copying gs://detectmysetup/train/2f85ad2aa262714b.jpg...\n", "Copying gs://detectmysetup/train/2f86b030e236a7ea.jpg...\n", "Copying gs://detectmysetup/train/2f9be8b5baa133c5.jpg...\n", "Copying gs://detectmysetup/train/2f9c22ca2f0e7fcf.jpg...\n", "Copying gs://detectmysetup/train/2fa2453bd0fc5075.jpg...\n", "Copying gs://detectmysetup/train/2fa40c3e78fbe414.jpg...\n", "Copying gs://detectmysetup/train/2fa46d8e54dd4f0d.jpg...\n", "Copying gs://detectmysetup/train/2fa657193dcc83d9.jpg...\n", "Copying gs://detectmysetup/train/2fad7bafa5b2b64a.jpg...\n", "Copying gs://detectmysetup/train/2faea94714804407.jpg...\n", "Copying gs://detectmysetup/train/2fcaa8339158eb3e.jpg...\n", "Copying gs://detectmysetup/train/2fd574c0494aac00.jpg...\n", "Copying gs://detectmysetup/train/2fda7dceebdfd8f2.jpg...\n", "Copying gs://detectmysetup/train/2fdaf1c8062acc24.jpg...\n", "Copying gs://detectmysetup/train/2fe04a4f536a8a29.jpg...\n", "Copying gs://detectmysetup/train/2fe15f8da6f095bf.jpg...\n", "Copying gs://detectmysetup/train/2fed9ed57cef7f70.jpg...\n", "Copying gs://detectmysetup/train/2ff863a20a99c5e8.jpg...\n", "Copying gs://detectmysetup/train/2ffb337185d7287a.jpg...\n", "Copying gs://detectmysetup/train/3006623f41b04ea8.jpg...\n", "Copying gs://detectmysetup/train/3006e3ad5b683a24.jpg...\n", "Copying gs://detectmysetup/train/300792c91d80b3ef.jpg...\n", "Copying gs://detectmysetup/train/3011a50f4caddb32.jpg...\n", "Copying gs://detectmysetup/train/30153df60d866efe.jpg...\n", "Copying gs://detectmysetup/train/302ff12e625c8d37.jpg...\n", "Copying gs://detectmysetup/train/303061c35304f057.jpg...\n", "Copying gs://detectmysetup/train/30426b2510b00cdb.jpg...\n", "Copying gs://detectmysetup/train/304a2426ab661f07.jpg...\n", "Copying gs://detectmysetup/train/304f280eb94bcf96.jpg...\n", "Copying gs://detectmysetup/train/305ca254d354e4f5.jpg...\n", "Copying gs://detectmysetup/train/305f8529f2981af7.jpg...\n", "Copying gs://detectmysetup/train/306a758adb442717.jpg...\n", "Copying gs://detectmysetup/train/3070a97858a222d0.jpg...\n", "Copying gs://detectmysetup/train/307a871133c84693.jpg...\n", "Copying gs://detectmysetup/train/306f6a85a70f6d67.jpg...\n", "Copying gs://detectmysetup/train/308e7309010d6580.jpg...\n", "Copying gs://detectmysetup/train/30825a4bec96e03c.jpg...\n", "Copying gs://detectmysetup/train/308ea9c8f22b2367.jpg...\n", "Copying gs://detectmysetup/train/3095e4f7a243cd29.jpg...\n", "Copying gs://detectmysetup/train/3098fee105d44702.jpg...\n", "Copying gs://detectmysetup/train/30a2b0c7563cf400.jpg...\n", "Copying gs://detectmysetup/train/309f9a63e7ca3dfa.jpg...\n", "Copying gs://detectmysetup/train/30a6e044cf46393a.jpg...\n", "Copying gs://detectmysetup/train/30a8679910b79f25.jpg...\n", "Copying gs://detectmysetup/train/30aefe95e0a123da.jpg...\n", "Copying gs://detectmysetup/train/30b20653ca2458f7.jpg...\n", "Copying gs://detectmysetup/train/30b5dcd24edcc6ca.jpg...\n", "Copying gs://detectmysetup/train/30b3270150447948.jpg...\n", "Copying gs://detectmysetup/train/30bbcc5a9cc90db0.jpg...\n", "Copying gs://detectmysetup/train/30d34934c8fd5868.jpg...\n", "Copying gs://detectmysetup/train/30d84d078addcdf1.jpg...\n", "Copying gs://detectmysetup/train/30f7c4b7fc21e3ac.jpg...\n", "Copying gs://detectmysetup/train/30f8b4034418c6d8.jpg...\n", "Copying gs://detectmysetup/train/3100b88584dba89b.jpg...\n", "Copying gs://detectmysetup/train/3107379ccb857ea9.jpg...\n", "Copying gs://detectmysetup/train/311545e46bce28b6.jpg...\n", "Copying gs://detectmysetup/train/31176d820debcb89.jpg...\n", "Copying gs://detectmysetup/train/311863f849a19078.jpg...\n", "Copying gs://detectmysetup/train/311fa92f86fa8208.jpg...\n", "Copying gs://detectmysetup/train/3124af998a73d64b.jpg...\n", "Copying gs://detectmysetup/train/31296a3d43e1cf95.jpg...\n", "Copying gs://detectmysetup/train/312af4a5469f0425.jpg...\n", "Copying gs://detectmysetup/train/3133472b2c728d23.jpg...\n", "Copying gs://detectmysetup/train/31306af00c1b07ae.jpg...\n", "Copying gs://detectmysetup/train/3143f82cbe3e524a.jpg...\n", "Copying gs://detectmysetup/train/314f108855da2433.jpg...\n", "Copying gs://detectmysetup/train/315d1413ae03e219.jpg...\n", "Copying gs://detectmysetup/train/315e9eb41ac03c8c.jpg...\n", "Copying gs://detectmysetup/train/31671ff28c9a88a8.jpg...\n", "Copying gs://detectmysetup/train/3173014f246238ac.jpg...\n", "Copying gs://detectmysetup/train/3173d7182f3994d8.jpg...\n", "Copying gs://detectmysetup/train/3173e34a9904f8b7.jpg...\n", "Copying gs://detectmysetup/train/31835654f297e73a.jpg...\n", "Copying gs://detectmysetup/train/318c7a78f20a1591.jpg...\n", "Copying gs://detectmysetup/train/319f10f57b6807e8.jpg...\n", "Copying gs://detectmysetup/train/31afc78777fb5665.jpg...\n", "Copying gs://detectmysetup/train/319fae3cf75acdcb.jpg...\n", "Copying gs://detectmysetup/train/31b0b44f86795c6b.jpg...\n", "Copying gs://detectmysetup/train/31b5c24ed6e6a161.jpg...\n", "Copying gs://detectmysetup/train/31b7241881b27c44.jpg...\n", "Copying gs://detectmysetup/train/31b82ea53e0165ca.jpg...\n", "Copying gs://detectmysetup/train/31b8349f8ec03ba1.jpg...\n", "Copying gs://detectmysetup/train/31bf8e9398ecda1d.jpg...\n", "Copying gs://detectmysetup/train/31ccc8fc72820332.jpg...\n", "Copying gs://detectmysetup/train/31d112cd02fd9521.jpg...\n", "Copying gs://detectmysetup/train/31d3ccea26edc0d6.jpg...\n", "Copying gs://detectmysetup/train/31dc57d140ba448c.jpg...\n", "Copying gs://detectmysetup/train/31e3c7e0cee6ed43.jpg...\n", "Copying gs://detectmysetup/train/31e6a170d1690251.jpg...\n", "Copying gs://detectmysetup/train/31f0f83da15b8a2d.jpg...\n", "Copying gs://detectmysetup/train/31f228a35be67a9b.jpg...\n", "Copying gs://detectmysetup/train/31f3ddbe5e37d35e.jpg...\n", "Copying gs://detectmysetup/train/31f40ca6dcfd22e4.jpg...\n", "Copying gs://detectmysetup/train/31f955015d287016.jpg...\n", "Copying gs://detectmysetup/train/3206b86af10fa072.jpg...\n", "Copying gs://detectmysetup/train/320b1caadf97e485.jpg...\n", "Copying gs://detectmysetup/train/320b729a3f5022dd.jpg...\n", "Copying gs://detectmysetup/train/320dd781cf587856.jpg...\n", "Copying gs://detectmysetup/train/320e8279724d1d23.jpg...\n", "Copying gs://detectmysetup/train/32282f8fd22eb932.jpg...\n", "Copying gs://detectmysetup/train/322e5925e9986207.jpg...\n", "Copying gs://detectmysetup/train/322fe1b3528c3a13.jpg...\n", "Copying gs://detectmysetup/train/3230cd240e0bad23.jpg...\n", "Copying gs://detectmysetup/train/32392bd94d0dbc52.jpg...\n", "Copying gs://detectmysetup/train/323a61e5f06cc064.jpg...\n", "Copying gs://detectmysetup/train/323b0e177b39a3df.jpg...\n", "Copying gs://detectmysetup/train/323f9ba9f4171448.jpg...\n", "Copying gs://detectmysetup/train/3246d34128b67f40.jpg...\n", "Copying gs://detectmysetup/train/3246ee7a3796e5e0.jpg...\n", "Copying gs://detectmysetup/train/324c8d303b1b0025.jpg...\n", "Copying gs://detectmysetup/train/324d20befcc1b924.jpg...\n", "Copying gs://detectmysetup/train/324f9aab6ff2d5bb.jpg...\n", "Copying gs://detectmysetup/train/32662623a4b91287.jpg...\n", "Copying gs://detectmysetup/train/3267fc6a62e95092.jpg...\n", "Copying gs://detectmysetup/train/327b2a6417f0b80a.jpg...\n", "Copying gs://detectmysetup/train/327b3ae565adafe7.jpg...\n", "Copying gs://detectmysetup/train/327db33bd18f2846.jpg...\n", "Copying gs://detectmysetup/train/328380e33d2efab6.jpg...\n", "Copying gs://detectmysetup/train/329848dfde455bbe.jpg...\n", "Copying gs://detectmysetup/train/329873a6b596a43b.jpg...\n", "Copying gs://detectmysetup/train/329d47aa9acf51f6.jpg...\n", "Copying gs://detectmysetup/train/32a54fbb225b2a4f.jpg...\n", "Copying gs://detectmysetup/train/32a6645c84af664d.jpg...\n", "Copying gs://detectmysetup/train/32a910a8a9d9330a.jpg...\n", "Copying gs://detectmysetup/train/32af2c0315b735e5.jpg...\n", "Copying gs://detectmysetup/train/32b04029eecef3b6.jpg...\n", "Copying gs://detectmysetup/train/32b4d122986d8e70.jpg...\n", "Copying gs://detectmysetup/train/32b58a87afdeee70.jpg...\n", "Copying gs://detectmysetup/train/32b9f4b10151cc3e.jpg...\n", "Copying gs://detectmysetup/train/32bf02f9d3a6b754.jpg...\n", "Copying gs://detectmysetup/train/32c87b3f716ddbd7.jpg...\n", "Copying gs://detectmysetup/train/32d7387dbf4e6d14.jpg...\n", "Copying gs://detectmysetup/train/32d9a6787605232b.jpg...\n", "Copying gs://detectmysetup/train/32dc8ad4ff55d1a3.jpg...\n", "Copying gs://detectmysetup/train/32e688765d63cafe.jpg...\n", "Copying gs://detectmysetup/train/32efc3cc2353ff19.jpg...\n", "Copying gs://detectmysetup/train/32f07c27543ead9d.jpg...\n", "Copying gs://detectmysetup/train/32f6ec667d069c9e.jpg...\n", "Copying gs://detectmysetup/train/32f7712b568bcfa1.jpg...\n", "Copying gs://detectmysetup/train/32fb03de0319c917.jpg...\n", "Copying gs://detectmysetup/train/32ff60354b79eae5.jpg...\n", "Copying gs://detectmysetup/train/33189438ee33c4f4.jpg...\n", "Copying gs://detectmysetup/train/32fd165dc9b2120f.jpg...\n", "Copying gs://detectmysetup/train/33301187bc13163b.jpg...\n", "Copying gs://detectmysetup/train/3331acabb8222c4c.jpg...\n", "Copying gs://detectmysetup/train/33325a1207c2c50d.jpg...\n", "Copying gs://detectmysetup/train/334c53c2a4675387.jpg...\n", "Copying gs://detectmysetup/train/33506b2547c26aab.jpg...\n", "Copying gs://detectmysetup/train/3356e6ae0789947a.jpg...\n", "Copying gs://detectmysetup/train/3364360b115e7416.jpg...\n", "Copying gs://detectmysetup/train/336dc418557a2a08.jpg...\n", "Copying gs://detectmysetup/train/338c34cacebc04ed.jpg...\n", "Copying gs://detectmysetup/train/33894daa919d7280.jpg...\n", "Copying gs://detectmysetup/train/33768f1de89b2611.jpg...\n", "Copying gs://detectmysetup/train/33aa5eb1742b52b6.jpg...\n", "Copying gs://detectmysetup/train/33b866063693280d.jpg...\n", "Copying gs://detectmysetup/train/33b987ae9409b860.jpg...\n", "Copying gs://detectmysetup/train/33c3a782e679a76d.jpg...\n", "Copying gs://detectmysetup/train/33cdfae58a2fbd4a.jpg...\n", "Copying gs://detectmysetup/train/33ce264a1d45110c.jpg...\n", "Copying gs://detectmysetup/train/33d3412a7be2aed1.jpg...\n", "Copying gs://detectmysetup/train/33d349b4f1bcd52c.jpg...\n", "Copying gs://detectmysetup/train/33dacb4538da8f0d.jpg...\n", "Copying gs://detectmysetup/train/33d4ad125a5c0227.jpg...\n", "Copying gs://detectmysetup/train/33daf16bb3b044db.jpg...\n", "Copying gs://detectmysetup/train/33e45245614bd416.jpg...\n", "Copying gs://detectmysetup/train/33e6970ac52fc307.jpg...\n", "Copying gs://detectmysetup/train/33ea75edf9cd57a9.jpg...\n", "Copying gs://detectmysetup/train/33f70ff8777821c4.jpg...\n", "Copying gs://detectmysetup/train/33ff5d8b7f079d6f.jpg...\n", "Copying gs://detectmysetup/train/33ffe1a8365f4605.jpg...\n", "Copying gs://detectmysetup/train/3428cb4bb15b785b.jpg...\n", "Copying gs://detectmysetup/train/3425c466780fa82e.jpg...\n", "Copying gs://detectmysetup/train/342a71612fc43f5c.jpg...\n", "Copying gs://detectmysetup/train/344028e2eb6bba99.jpg...\n", "Copying gs://detectmysetup/train/34406ba65e2574ce.jpg...\n", "Copying gs://detectmysetup/train/3441bbf19a60fb55.jpg...\n", "Copying gs://detectmysetup/train/34497810bbc00093.jpg...\n", "Copying gs://detectmysetup/train/344e1fc221120499.jpg...\n", "Copying gs://detectmysetup/train/3456249cb142b18b.jpg...\n", "Copying gs://detectmysetup/train/34644beab24d297a.jpg...\n", "Copying gs://detectmysetup/train/347cde90fd5ee22d.jpg...\n", "Copying gs://detectmysetup/train/34850f2bdaff35e7.jpg...\n", "Copying gs://detectmysetup/train/348902608b2d5542.jpg...\n", "Copying gs://detectmysetup/train/34911d1c3ebda0a3.jpg...\n", "Copying gs://detectmysetup/train/349ac3acf1590842.jpg...\n", "Copying gs://detectmysetup/train/349b3cc8507c8d7a.jpg...\n", "Copying gs://detectmysetup/train/349f08d8efcc4d0b.jpg...\n", "Copying gs://detectmysetup/train/34aae7b2696900f5.jpg...\n", "Copying gs://detectmysetup/train/34ab65e50be11c56.jpg...\n", "Copying gs://detectmysetup/train/34b4a7c243d49d11.jpg...\n", "Copying gs://detectmysetup/train/34ba1c0d2d8bd9e7.jpg...\n", "Copying gs://detectmysetup/train/34c304b9dbee3e54.jpg...\n", "Copying gs://detectmysetup/train/34cacf6d3bd4ab1a.jpg...\n", "Copying gs://detectmysetup/train/34d9c2894bfe26fc.jpg...\n", "Copying gs://detectmysetup/train/34f43b819959a4f1.jpg...\n", "Copying gs://detectmysetup/train/34e7a95bc8c9a69a.jpg...\n", "Copying gs://detectmysetup/train/350358911f3842de.jpg...\n", "Copying gs://detectmysetup/train/3503b57cb8b59a9c.jpg...\n", "Copying gs://detectmysetup/train/3505d4a2613a7932.jpg...\n", "Copying gs://detectmysetup/train/3511b9cd137d260f.jpg...\n", "Copying gs://detectmysetup/train/3521c97dc1e2b911.jpg...\n", "Copying gs://detectmysetup/train/35248c5af3b24b1c.jpg...\n", "Copying gs://detectmysetup/train/3525d0dec440b90c.jpg...\n", "Copying gs://detectmysetup/train/35296495ab8ee36a.jpg...\n", "Copying gs://detectmysetup/train/353c08d8fb559b4e.jpg...\n", "Copying gs://detectmysetup/train/353eadd2f683fdf8.jpg...\n", "Copying gs://detectmysetup/train/35404e55f89ed820.jpg...\n", "Copying gs://detectmysetup/train/353ef04d825ea9be.jpg...\n", "Copying gs://detectmysetup/train/354239cd25523aeb.jpg...\n", "Copying gs://detectmysetup/train/354e969ceb7ca3b0.jpg...\n", "Copying gs://detectmysetup/train/354ff546159d9882.jpg...\n", "Copying gs://detectmysetup/train/356346a13cc1a780.jpg...\n", "Copying gs://detectmysetup/train/35660263dc15ff23.jpg...\n", "Copying gs://detectmysetup/train/356647f6af545385.jpg...\n", "Copying gs://detectmysetup/train/3577f71256ff4779.jpg...\n", "Copying gs://detectmysetup/train/3587bddad58312d8.jpg...\n", "Copying gs://detectmysetup/train/358b0c091a8c24dc.jpg...\n", "Copying gs://detectmysetup/train/35900add9c907b33.jpg...\n", "Copying gs://detectmysetup/train/3595845e7c01b67c.jpg...\n", "Copying gs://detectmysetup/train/359728998a9e3124.jpg...\n", "Copying gs://detectmysetup/train/35a0a0419b34a60d.jpg...\n", "Copying gs://detectmysetup/train/35a19fccb52bba4f.jpg...\n", "Copying gs://detectmysetup/train/35aa719f52e9c975.jpg...\n", "Copying gs://detectmysetup/train/35ac60d6e7014dbd.jpg...\n", "Copying gs://detectmysetup/train/35ae6e084b44631e.jpg...\n", "Copying gs://detectmysetup/train/35b6e43323d6615e.jpg...\n", "Copying gs://detectmysetup/train/35b89e44589b8d1e.jpg...\n", "Copying gs://detectmysetup/train/35bc294ed5535819.jpg...\n", "Copying gs://detectmysetup/train/35c00dca4322bd72.jpg...\n", "Copying gs://detectmysetup/train/35cef9da70a93d99.jpg...\n", "Copying gs://detectmysetup/train/35d7a4fd3b80c9cb.jpg...\n", "Copying gs://detectmysetup/train/35e1cb34fcc9c944.jpg...\n", "Copying gs://detectmysetup/train/360d4fc0b114269e.jpg...\n", "Copying gs://detectmysetup/train/361ae552663840c5.jpg...\n", "Copying gs://detectmysetup/train/361dab72dfea6f20.jpg...\n", "Copying gs://detectmysetup/train/362730f7afce1013.jpg...\n", "Copying gs://detectmysetup/train/3629c5a28417a2f1.jpg...\n", "Copying gs://detectmysetup/train/362e1ab5cb798298.jpg...\n", "Copying gs://detectmysetup/train/3653ea0e8e6fa980.jpg...\n", "Copying gs://detectmysetup/train/36555b710c77879f.jpg...\n", "Copying gs://detectmysetup/train/365630e90e8aaf35.jpg...\n", "Copying gs://detectmysetup/train/3654811b9f714c33.jpg...\n", "Copying gs://detectmysetup/train/366150cfaaac9080.jpg...\n", "Copying gs://detectmysetup/train/3662fa00cd32069c.jpg...\n", "Copying gs://detectmysetup/train/366b3ac7dfc38833.jpg...\n", "Copying gs://detectmysetup/train/36766adf0611d228.jpg...\n", "Copying gs://detectmysetup/train/36766fbe79beaf83.jpg...\n", "Copying gs://detectmysetup/train/36842e8298da61db.jpg...\n", "Copying gs://detectmysetup/train/368972c56e6865cf.jpg...\n", "Copying gs://detectmysetup/train/368cbe856a3c915d.jpg...\n", "Copying gs://detectmysetup/train/36933243f4dcbec2.jpg...\n", "Copying gs://detectmysetup/train/3696ec211ba320f8.jpg...\n", "Copying gs://detectmysetup/train/369abd9b52e43d5a.jpg...\n", "Copying gs://detectmysetup/train/3695aca06ea1f4ab.jpg...\n", "Copying gs://detectmysetup/train/36a1d4544a468262.jpg...\n", "Copying gs://detectmysetup/train/36ab0ae0998bfd7b.jpg...\n", "Copying gs://detectmysetup/train/36c24656fe490a88.jpg...\n", "Copying gs://detectmysetup/train/36d1c02f76fe2a5b.jpg...\n", "Copying gs://detectmysetup/train/36d7e374027e64e6.jpg...\n", "Copying gs://detectmysetup/train/36db184fd1a79510.jpg...\n", "Copying gs://detectmysetup/train/36d9c666a48ab996.jpg...\n", "Copying gs://detectmysetup/train/36e4d51bb5bb1fac.jpg...\n", "Copying gs://detectmysetup/train/36ea612c65829ec1.jpg...\n", "Copying gs://detectmysetup/train/36ec717765693a10.jpg...\n", "Copying gs://detectmysetup/train/36ece5fc1ee02442.jpg...\n", "Copying gs://detectmysetup/train/36f428602dfba155.jpg...\n", "Copying gs://detectmysetup/train/36f47ad8b2c46c6b.jpg...\n", "Copying gs://detectmysetup/train/36f871ab80725e52.jpg...\n", "Copying gs://detectmysetup/train/370275476d86d816.jpg...\n", "Copying gs://detectmysetup/train/36f9a9f9ffd84104.jpg...\n", "Copying gs://detectmysetup/train/37075ff86165de9c.jpg...\n", "Copying gs://detectmysetup/train/371cd94ad3dd71af.jpg...\n", "Copying gs://detectmysetup/train/371f6abaaa77ad8f.jpg...\n", "Copying gs://detectmysetup/train/372962aa311b0375.jpg...\n", "Copying gs://detectmysetup/train/372d28ae187eb22c.jpg...\n", "Copying gs://detectmysetup/train/3736e89ea9f6255e.jpg...\n", "Copying gs://detectmysetup/train/3743598a7216b644.jpg...\n", "Copying gs://detectmysetup/train/3748a4377f526b11.jpg...\n", "Copying gs://detectmysetup/train/37496b598b2261cc.jpg...\n", "Copying gs://detectmysetup/train/375004189f5fad8f.jpg...\n", "Copying gs://detectmysetup/train/3756cd2262176667.jpg...\n", "Copying gs://detectmysetup/train/376f660e2bc239cc.jpg...\n", "Copying gs://detectmysetup/train/374b523702195861.jpg...\n", "Copying gs://detectmysetup/train/37783edb112cca6c.jpg...\n", "Copying gs://detectmysetup/train/3770bbbe9e573e86.jpg...\n", "Copying gs://detectmysetup/train/377bc7bb35706015.jpg...\n", "Copying gs://detectmysetup/train/377c3a037c88b6e5.jpg...\n", "Copying gs://detectmysetup/train/3782aa4d8c478fe8.jpg...\n", "Copying gs://detectmysetup/train/377decfc543df6d5.jpg...\n", "Copying gs://detectmysetup/train/378dd87a0609acaf.jpg...\n", "Copying gs://detectmysetup/train/3790fdbdabf648e9.jpg...\n", "Copying gs://detectmysetup/train/379340bb63418080.jpg...\n", "Copying gs://detectmysetup/train/37941a098f1cf2b4.jpg...\n", "Copying gs://detectmysetup/train/379b1ed76d2597f0.jpg...\n", "Copying gs://detectmysetup/train/379d415ed65fc4dc.jpg...\n", "Copying gs://detectmysetup/train/379e0951be702cee.jpg...\n", "Copying gs://detectmysetup/train/379eaf250108e481.jpg...\n", "Copying gs://detectmysetup/train/379fc9f2c51161ac.jpg...\n", "Copying gs://detectmysetup/train/37abfd8c2086235d.jpg...\n", "Copying gs://detectmysetup/train/37ae1b48a119c332.jpg...\n", "Copying gs://detectmysetup/train/37acb3ca02b462ef.jpg...\n", "Copying gs://detectmysetup/train/37b74d8cf5adc376.jpg...\n", "Copying gs://detectmysetup/train/37b342f4b03a2a1e.jpg...\n", "Copying gs://detectmysetup/train/37c211d1356a84b2.jpg...\n", "Copying gs://detectmysetup/train/37c444a984cfdf57.jpg...\n", "Copying gs://detectmysetup/train/37c446fedf7c77be.jpg...\n", "Copying gs://detectmysetup/train/37c78a8a10e5dbfe.jpg...\n", "Copying gs://detectmysetup/train/37ca23dc81e52bb9.jpg...\n", "Copying gs://detectmysetup/train/37d135c132c52d88.jpg...\n", "Copying gs://detectmysetup/train/37d90d2402674cbe.jpg...\n", "Copying gs://detectmysetup/train/37d9b8cb1f445aac.jpg...\n", "Copying gs://detectmysetup/train/37da5237c72f53c5.jpg...\n", "Copying gs://detectmysetup/train/37da6c094d558e84.jpg...\n", "Copying gs://detectmysetup/train/37e895dc207fc060.jpg...\n", "Copying gs://detectmysetup/train/37ea2a0033e7e844.jpg...\n", "Copying gs://detectmysetup/train/37fada1ad95f757d.jpg...\n", "Copying gs://detectmysetup/train/3803b7dad09e5c14.jpg...\n", "Copying gs://detectmysetup/train/381527d2ca23f23a.jpg...\n", "Copying gs://detectmysetup/train/3819125f11e52909.jpg...\n", "Copying gs://detectmysetup/train/3822bad73ff93a2b.jpg...\n", "Copying gs://detectmysetup/train/3830b17dc5980dd8.jpg...\n", "Copying gs://detectmysetup/train/38339c50f9ea2410.jpg...\n", "Copying gs://detectmysetup/train/382f16d0bd6f7de3.jpg...\n", "Copying gs://detectmysetup/train/383d7280e420b704.jpg...\n", "Copying gs://detectmysetup/train/384924f3803d619e.jpg...\n", "Copying gs://detectmysetup/train/3840f7731bb071ef.jpg...\n", "Copying gs://detectmysetup/train/3852af4a6ed3c1b0.jpg...\n", "Copying gs://detectmysetup/train/3853ba05805871e7.jpg...\n", "Copying gs://detectmysetup/train/38541a3f4ad44f5d.jpg...\n", "Copying gs://detectmysetup/train/3857f3188b29813d.jpg...\n", "Copying gs://detectmysetup/train/38637e9642b7542e.jpg...\n", "Copying gs://detectmysetup/train/386f66ed3674c2da.jpg...\n", "Copying gs://detectmysetup/train/3875fb8ca5af6cc9.jpg...\n", "Copying gs://detectmysetup/train/3884852bbb2d231f.jpg...\n", "Copying gs://detectmysetup/train/3887c7a67449022b.jpg...\n", "Copying gs://detectmysetup/train/388e43637ad71b22.jpg...\n", "Copying gs://detectmysetup/train/389c1a6eec7d63de.jpg...\n", "Copying gs://detectmysetup/train/389d3ca84e1e9d04.jpg...\n", "Copying gs://detectmysetup/train/38a4ce51f6f48b62.jpg...\n", "Copying gs://detectmysetup/train/38ab5dc3277fda58.jpg...\n", "Copying gs://detectmysetup/train/38b55056f5a5225d.jpg...\n", "Copying gs://detectmysetup/train/38b88719277245c1.jpg...\n", "Copying gs://detectmysetup/train/38bf82c61d9e6dd5.jpg...\n", "Copying gs://detectmysetup/train/38c875397463228e.jpg...\n", "Copying gs://detectmysetup/train/38ce8ba1bc2d2a5d.jpg...\n", "Copying gs://detectmysetup/train/38e0930f2c43d36f.jpg...\n", "Copying gs://detectmysetup/train/38e498b09959996c.jpg...\n", "Copying gs://detectmysetup/train/38e52125d5a2d3e4.jpg...\n", "Copying gs://detectmysetup/train/38f1fa987d8dc67e.jpg...\n", "Copying gs://detectmysetup/train/38f9caef98f39690.jpg...\n", "Copying gs://detectmysetup/train/38fffdac2b6309f7.jpg...\n", "Copying gs://detectmysetup/train/3900a55472fc244c.jpg...\n", "Copying gs://detectmysetup/train/39028dcd72a44d29.jpg...\n", "Copying gs://detectmysetup/train/39088370fe32d1fb.jpg...\n", "Copying gs://detectmysetup/train/39129d54682bf8ab.jpg...\n", "Copying gs://detectmysetup/train/3912edb148268202.jpg...\n", "Copying gs://detectmysetup/train/39151b0b16ffa432.jpg...\n", "Copying gs://detectmysetup/train/392278bfba7b73ba.jpg...\n", "Copying gs://detectmysetup/train/39182cae9a2c0bff.jpg...\n", "Copying gs://detectmysetup/train/392d02cbcabbf196.jpg...\n", "Copying gs://detectmysetup/train/393e2be815fa2f30.jpg...\n", "Copying gs://detectmysetup/train/394040647cfe9f17.jpg...\n", "Copying gs://detectmysetup/train/394695bc1eb74fd8.jpg...\n", "Copying gs://detectmysetup/train/39578104fe43d088.jpg...\n", "Copying gs://detectmysetup/train/394ab172d090695d.jpg...\n", "Copying gs://detectmysetup/train/396310cd9e0d1cea.jpg...\n", "Copying gs://detectmysetup/train/3964b8d7456c0cc8.jpg...\n", "Copying gs://detectmysetup/train/396c3a9ecb405425.jpg...\n", "Copying gs://detectmysetup/train/396c9fc5323f134a.jpg...\n", "Copying gs://detectmysetup/train/3977831635e30887.jpg...\n", "Copying gs://detectmysetup/train/397e31c07228fb68.jpg...\n", "Copying gs://detectmysetup/train/3980a0aba1e93494.jpg...\n", "Copying gs://detectmysetup/train/3980b16db3ff6ed9.jpg...\n", "Copying gs://detectmysetup/train/398b4d9725dbdd95.jpg...\n", "Copying gs://detectmysetup/train/3994764551d8885f.jpg...\n", "Copying gs://detectmysetup/train/39a2300b546becb5.jpg...\n", "Copying gs://detectmysetup/train/39a6e2115c6d89f8.jpg...\n", "Copying gs://detectmysetup/train/39aee217813c079c.jpg...\n", "Copying gs://detectmysetup/train/39b47df2cd08a74f.jpg...\n", "Copying gs://detectmysetup/train/39d1efb5866531a0.jpg...\n", "Copying gs://detectmysetup/train/39d31e9c85066d9b.jpg...\n", "Copying gs://detectmysetup/train/39d34e191e79fb88.jpg...\n", "Copying gs://detectmysetup/train/39d4d89bdfb5b46a.jpg...\n", "Copying gs://detectmysetup/train/39d4ee85c3126a50.jpg...\n", "Copying gs://detectmysetup/train/39de21b39f8eb87a.jpg...\n", "Copying gs://detectmysetup/train/39f5c89ac18d91f7.jpg...\n", "Copying gs://detectmysetup/train/39f653e8ad9d69c6.jpg...\n", "Copying gs://detectmysetup/train/39fbedf752bf009d.jpg...\n", "Copying gs://detectmysetup/train/39fd17b516f6a292.jpg...\n", "Copying gs://detectmysetup/train/3a058c0dfcfa78e6.jpg...\n", "Copying gs://detectmysetup/train/3a1fd03ca8b3ece8.jpg...\n", "Copying gs://detectmysetup/train/3a2b68b02f774008.jpg...\n", "Copying gs://detectmysetup/train/3a2cbe0099ff3730.jpg...\n", "Copying gs://detectmysetup/train/3a2d5531a6e02673.jpg...\n", "Copying gs://detectmysetup/train/3a2d951876c53217.jpg...\n", "Copying gs://detectmysetup/train/3a3578a00b7637d7.jpg...\n", "Copying gs://detectmysetup/train/3a56b929eeeb3a02.jpg...\n", "Copying gs://detectmysetup/train/3a586d17ee39050c.jpg...\n", "Copying gs://detectmysetup/train/3a5d09c42700d4fe.jpg...\n", "Copying gs://detectmysetup/train/3a6dc96a518eb744.jpg...\n", "Copying gs://detectmysetup/train/3a81ff565bce57ea.jpg...\n", "Copying gs://detectmysetup/train/3a6d2b256ab581fe.jpg...\n", "Copying gs://detectmysetup/train/3a86a007a888bed6.jpg...\n", "Copying gs://detectmysetup/train/3a8b1701b49dfbee.jpg...\n", "Copying gs://detectmysetup/train/3a8d85a2922c4cb6.jpg...\n", "Copying gs://detectmysetup/train/3a949092848d6d15.jpg...\n", "Copying gs://detectmysetup/train/3a94d57f2b55ff5b.jpg...\n", "Copying gs://detectmysetup/train/3a94f644c321589d.jpg...\n", "Copying gs://detectmysetup/train/3a9d1df0462b7df5.jpg...\n", "Copying gs://detectmysetup/train/3aa3d9b23e437d48.jpg...\n", "Copying gs://detectmysetup/train/3aa3f1e97f65a2cc.jpg...\n", "Copying gs://detectmysetup/train/3aaaab366df56932.jpg...\n", "Copying gs://detectmysetup/train/3aaef372f5b69799.jpg...\n", "Copying gs://detectmysetup/train/3ac5c6cf8aba9c07.jpg...\n", "Copying gs://detectmysetup/train/3aae44c1387e3db0.jpg...\n", "Copying gs://detectmysetup/train/3ac65b6f461df514.jpg...\n", "Copying gs://detectmysetup/train/3ac8dbabe7091e2a.jpg...\n", "Copying gs://detectmysetup/train/3ac9228a6a43640f.jpg...\n", "Copying gs://detectmysetup/train/3acf4e5c3ac15485.jpg...\n", "Copying gs://detectmysetup/train/3aeb408304132176.jpg...\n", "Copying gs://detectmysetup/train/3af59c0da42b65db.jpg...\n", "Copying gs://detectmysetup/train/3aff349c09e2def6.jpg...\n", "Copying gs://detectmysetup/train/3b03ca0fef4cbcbe.jpg...\n", "Copying gs://detectmysetup/train/3b07e62212287db6.jpg...\n", "Copying gs://detectmysetup/train/3b1cf21525fbcdfd.jpg...\n", "Copying gs://detectmysetup/train/3b25aa0bc0c318ed.jpg...\n", "Copying gs://detectmysetup/train/3b2ac1543b4190c7.jpg...\n", "Copying gs://detectmysetup/train/3b37bcd02a5c37e7.jpg...\n", "Copying gs://detectmysetup/train/3b415e1873074d33.jpg...\n", "Copying gs://detectmysetup/train/3b46c4b0baefb571.jpg...\n", "Copying gs://detectmysetup/train/3b4cdcfe50f8caa2.jpg...\n", "Copying gs://detectmysetup/train/3b545a559dcfd26d.jpg...\n", "Copying gs://detectmysetup/train/3b56531a4ca93c8f.jpg...\n", "Copying gs://detectmysetup/train/3b5656aa389855cd.jpg...\n", "Copying gs://detectmysetup/train/3b5e56074298779f.jpg...\n", "Copying gs://detectmysetup/train/3b5e7cf6e508ee17.jpg...\n", "Copying gs://detectmysetup/train/3b68bc0f8f74748b.jpg...\n", "Copying gs://detectmysetup/train/3b82a5b14b9892a6.jpg...\n", "Copying gs://detectmysetup/train/3b7341d4d1c61be1.jpg...\n", "Copying gs://detectmysetup/train/3b866ab323d16f57.jpg...\n", "Copying gs://detectmysetup/train/3b8b6b827cbe8606.jpg...\n", "Copying gs://detectmysetup/train/3b94ad11144f1e6c.jpg...\n", "Copying gs://detectmysetup/train/3b974a478a2d6589.jpg...\n", "Copying gs://detectmysetup/train/3bac9b649f7f6896.jpg...\n", "Copying gs://detectmysetup/train/3ba0cd476e9441c4.jpg...\n", "Copying gs://detectmysetup/train/3bdd54f3042467b5.jpg...\n", "Copying gs://detectmysetup/train/3be30ba035c24293.jpg...\n", "Copying gs://detectmysetup/train/3be8ee99aebb1547.jpg...\n", "Copying gs://detectmysetup/train/3bea1816c2201967.jpg...\n", "Copying gs://detectmysetup/train/3bedeb1315bd7ee3.jpg...\n", "Copying gs://detectmysetup/train/3bf27cdc33ede773.jpg...\n", "Copying gs://detectmysetup/train/3bf349945dde8076.jpg...\n", "Copying gs://detectmysetup/train/3c038e03cdf7f504.jpg...\n", "Copying gs://detectmysetup/train/3c0d6a2e22ab50a3.jpg...\n", "Copying gs://detectmysetup/train/3c0e63a377f190f8.jpg...\n", "Copying gs://detectmysetup/train/3c20325d31338e33.jpg...\n", "Copying gs://detectmysetup/train/3c3a0b3b7ae578d5.jpg...\n", "Copying gs://detectmysetup/train/3c36e204184283f2.jpg...\n", "Copying gs://detectmysetup/train/3c3a68f553365982.jpg...\n", "Copying gs://detectmysetup/train/3c3f176072453b1a.jpg...\n", "Copying gs://detectmysetup/train/3c56496451b06007.jpg...\n", "Copying gs://detectmysetup/train/3c40d09159703b1d.jpg...\n", "Copying gs://detectmysetup/train/3c6fe2277bd9bfaf.jpg...\n", "Copying gs://detectmysetup/train/3c5ce2d659367878.jpg...\n", "Copying gs://detectmysetup/train/3c6f17bedd104288.jpg...\n", "Copying gs://detectmysetup/train/3c777ec1833030ac.jpg...\n", "Copying gs://detectmysetup/train/3c7a91d003550d3e.jpg...\n", "Copying gs://detectmysetup/train/3c8e443ff7648ac3.jpg...\n", "Copying gs://detectmysetup/train/3c94f7a983354cf8.jpg...\n", "Copying gs://detectmysetup/train/3ca827e94406d6b6.jpg...\n", "Copying gs://detectmysetup/train/3cdbe851b064bd04.jpg...\n", "Copying gs://detectmysetup/train/3cea7cb6ac482794.jpg...\n", "Copying gs://detectmysetup/train/3ceb84f0d1b7ca82.jpg...\n", "Copying gs://detectmysetup/train/3cef5fac911c8a36.jpg...\n", "Copying gs://detectmysetup/train/3d3183d692293be2.jpg...\n", "Copying gs://detectmysetup/train/3d3c98465854c4a6.jpg...\n", "Copying gs://detectmysetup/train/3d40f63c26d1764c.jpg...\n", "Copying gs://detectmysetup/train/3d483c5cffe29b2d.jpg...\n", "Copying gs://detectmysetup/train/3d505f92b09050f2.jpg...\n", "Copying gs://detectmysetup/train/3d60ea8bf39f6ba4.jpg...\n", "Copying gs://detectmysetup/train/3d73b548fbd9dae4.jpg...\n", "Copying gs://detectmysetup/train/3d9197aeaeddec54.jpg...\n", "Copying gs://detectmysetup/train/3db4760508ba56d4.jpg...\n", "Copying gs://detectmysetup/train/3db5a8149246a53a.jpg...\n", "Copying gs://detectmysetup/train/3dbcb61377bec44a.jpg...\n", "Copying gs://detectmysetup/train/3dbe0e8bb14906d5.jpg...\n", "Copying gs://detectmysetup/train/3dc94a2e7b35ef50.jpg...\n", "Copying gs://detectmysetup/train/3dca46257be6b4ed.jpg...\n", "Copying gs://detectmysetup/train/3dd30ca06a5e510e.jpg...\n", "Copying gs://detectmysetup/train/3dd3eb1f1d2c016e.jpg...\n", "Copying gs://detectmysetup/train/3dd0ec4b8da2dc9e.jpg...\n", "Copying gs://detectmysetup/train/3df9d6218c9b00f3.jpg...\n", "Copying gs://detectmysetup/train/3dfe04885a80e579.jpg...\n", "Copying gs://detectmysetup/train/3e082125a0a90038.jpg...\n", "Copying gs://detectmysetup/train/3e297d904f4c9970.jpg...\n", "Copying gs://detectmysetup/train/3e3169977ecd64a7.jpg...\n", "Copying gs://detectmysetup/train/3e4858b68dd7c56d.jpg...\n", "Copying gs://detectmysetup/train/3e520b5ed3a893be.jpg...\n", "Copying gs://detectmysetup/train/3e58a97acafff988.jpg...\n", "Copying gs://detectmysetup/train/3e5f563bbe8fd539.jpg...\n", "Copying gs://detectmysetup/train/3e660e4692ffdbe8.jpg...\n", "Copying gs://detectmysetup/train/3e92b754355af10a.jpg...\n", "Copying gs://detectmysetup/train/3eacb9c1c1b03986.jpg...\n", "Copying gs://detectmysetup/train/3eb794a6490d3096.jpg...\n", "Copying gs://detectmysetup/train/3ebf440402b95050.jpg...\n", "Copying gs://detectmysetup/train/3ec660ca6451b2f7.jpg...\n", "Copying gs://detectmysetup/train/3ecd775f767585de.jpg...\n", "Copying gs://detectmysetup/train/3ece0040198c6816.jpg...\n", "Copying gs://detectmysetup/train/3ed7adff006358e7.jpg...\n", "Copying gs://detectmysetup/train/3eda51cf2c25565b.jpg...\n", "Copying gs://detectmysetup/train/3eddc8396a9bc279.jpg...\n", "Copying gs://detectmysetup/train/3ede112fea449530.jpg...\n", "Copying gs://detectmysetup/train/3f0f7a9f6bb8ba6a.jpg...\n", "Copying gs://detectmysetup/train/3f23cb733c17a2c0.jpg...\n", "Copying gs://detectmysetup/train/3f27eb68de12dd93.jpg...\n", "Copying gs://detectmysetup/train/3f2ae9d9771af9fc.jpg...\n", "Copying gs://detectmysetup/train/3f530f5fed4ca7d0.jpg...\n", "Copying gs://detectmysetup/train/3f58d625cb837b11.jpg...\n", "Copying gs://detectmysetup/train/3f5ad9a1210a0752.jpg...\n", "Copying gs://detectmysetup/train/3fa0af37c2b78b47.jpg...\n", "Copying gs://detectmysetup/train/3fa688b46c29f3ef.jpg...\n", "Copying gs://detectmysetup/train/3fa759f0cee9d91c.jpg...\n", "Copying gs://detectmysetup/train/3fab4fa850e6567c.jpg...\n", "Copying gs://detectmysetup/train/3fcce09e44322795.jpg...\n", "Copying gs://detectmysetup/train/3fe05835c27a7eed.jpg...\n", "Copying gs://detectmysetup/train/3fe3893972fcc128.jpg...\n", "Copying gs://detectmysetup/train/3fe5c62155e18704.jpg...\n", "Copying gs://detectmysetup/train/3fe75d6c6324b8c6.jpg...\n", "Copying gs://detectmysetup/train/3ff79abeccb7c4b3.jpg...\n", "Copying gs://detectmysetup/train/4006fdaab042fb5e.jpg...\n", "Copying gs://detectmysetup/train/400f28c9a429d934.jpg...\n", "Copying gs://detectmysetup/train/4011697f1fd84384.jpg...\n", "Copying gs://detectmysetup/train/4017af4cae5552ef.jpg...\n", "Copying gs://detectmysetup/train/4048244599601172.jpg...\n", "Copying gs://detectmysetup/train/40540d5ece902a53.jpg...\n", "Copying gs://detectmysetup/train/40653a4088c9c5bf.jpg...\n", "Copying gs://detectmysetup/train/407262db4f72cea1.jpg...\n", "Copying gs://detectmysetup/train/4080393f5247809e.jpg...\n", "Copying gs://detectmysetup/train/40745aeb2680e297.jpg...\n", "Copying gs://detectmysetup/train/408473ad68245381.jpg...\n", "Copying gs://detectmysetup/train/40c3aeedc6b03f1f.jpg...\n", "Copying gs://detectmysetup/train/40bbf1d2044da7ec.jpg...\n", "Copying gs://detectmysetup/train/40d0205af864369e.jpg...\n", "Copying gs://detectmysetup/train/40db2e44914f8eea.jpg...\n", "Copying gs://detectmysetup/train/40f893df9c2f26ac.jpg...\n", "Copying gs://detectmysetup/train/40e6557040f7e6a0.jpg...\n", "Copying gs://detectmysetup/train/40d04b63852f69a5.jpg...\n", "Copying gs://detectmysetup/train/4104b2f6b399d015.jpg...\n", "Copying gs://detectmysetup/train/411af8dffec6bcb6.jpg...\n", "Copying gs://detectmysetup/train/4145f4ffafa45ac2.jpg...\n", "Copying gs://detectmysetup/train/414a2ac1ba344540.jpg...\n", "Copying gs://detectmysetup/train/416084b770b51b4c.jpg...\n", "Copying gs://detectmysetup/train/4163f3eabc885376.jpg...\n", "Copying gs://detectmysetup/train/416509941b00cea5.jpg...\n", "Copying gs://detectmysetup/train/41675935226ba4ac.jpg...\n", "Copying gs://detectmysetup/train/4180c7008e5b8de8.jpg...\n", "Copying gs://detectmysetup/train/418456a62822e12d.jpg...\n", "Copying gs://detectmysetup/train/41903555fbf40a87.jpg...\n", "Copying gs://detectmysetup/train/4190634caf224ae7.jpg...\n", "Copying gs://detectmysetup/train/4191fb46578f5416.jpg...\n", "Copying gs://detectmysetup/train/4194fbaa2aaacdb1.jpg...\n", "Copying gs://detectmysetup/train/41bb49a31e18ac36.jpg...\n", "Copying gs://detectmysetup/train/41d7935be0f91b0d.jpg...\n", "Copying gs://detectmysetup/train/41d7be349b5e45d7.jpg...\n", "Copying gs://detectmysetup/train/41d90b0f7a5189c6.jpg...\n", "Copying gs://detectmysetup/train/41bebf2faf45bf95.jpg...\n", "Copying gs://detectmysetup/train/41db740dad62d00c.jpg...\n", "Copying gs://detectmysetup/train/41e60dd93ad3b43f.jpg...\n", "Copying gs://detectmysetup/train/41f0730a962a3c00.jpg...\n", "Copying gs://detectmysetup/train/41f599eebf5f4dea.jpg...\n", "Copying gs://detectmysetup/train/41fcc99a33458c47.jpg...\n", "Copying gs://detectmysetup/train/420b647746a9ba50.jpg...\n", "Copying gs://detectmysetup/train/42110dbe367b3d64.jpg...\n", "Copying gs://detectmysetup/train/4220e0f047742686.jpg...\n", "Copying gs://detectmysetup/train/42295d19da7f97c6.jpg...\n", "Copying gs://detectmysetup/train/422e024693061851.jpg...\n", "Copying gs://detectmysetup/train/423380b78e88df13.jpg...\n", "Copying gs://detectmysetup/train/4231c04ea30df1d0.jpg...\n", "Copying gs://detectmysetup/train/423d63b0e883ee27.jpg...\n", "Copying gs://detectmysetup/train/42334d34cc650393.jpg...\n", "Copying gs://detectmysetup/train/423e721a1e7f5707.jpg...\n", "Copying gs://detectmysetup/train/4244fc3844351084.jpg...\n", "Copying gs://detectmysetup/train/4247287a5c010df6.jpg...\n", "Copying gs://detectmysetup/train/4261efbb2fe2478d.jpg...\n", "Copying gs://detectmysetup/train/426729e0721e7a03.jpg...\n", "Copying gs://detectmysetup/train/426e57db9b2fbb30.jpg...\n", "Copying gs://detectmysetup/train/427a64734e2943b6.jpg...\n", "Copying gs://detectmysetup/train/427e1510b0d95719.jpg...\n", "Copying gs://detectmysetup/train/42952778f780ed7d.jpg...\n", "Copying gs://detectmysetup/train/42b150e929b9dfe2.jpg...\n", "Copying gs://detectmysetup/train/42c22d0bcf2f54ed.jpg...\n", "Copying gs://detectmysetup/train/42cc027811c51e27.jpg...\n", "Copying gs://detectmysetup/train/42cf27ea4ba79feb.jpg...\n", "Copying gs://detectmysetup/train/42d0fa6e137599b8.jpg...\n", "Copying gs://detectmysetup/train/42dab293ff2cd065.jpg...\n", "Copying gs://detectmysetup/train/430133ef39e27a2d.jpg...\n", "Copying gs://detectmysetup/train/4306c4a91986cc48.jpg...\n", "Copying gs://detectmysetup/train/4315f0a6fa98c245.jpg...\n", "Copying gs://detectmysetup/train/4316ecf263713e7f.jpg...\n", "Copying gs://detectmysetup/train/43293120330bd636.jpg...\n", "Copying gs://detectmysetup/train/43409cff98cff6f0.jpg...\n", "Copying gs://detectmysetup/train/43419b0cfef0ced2.jpg...\n", "Copying gs://detectmysetup/train/434228fa3173728c.jpg...\n", "Copying gs://detectmysetup/train/4366e2275147544b.jpg...\n", "Copying gs://detectmysetup/train/4367f3371cc379a6.jpg...\n", "Copying gs://detectmysetup/train/4366430a50755e10.jpg...\n", "Copying gs://detectmysetup/train/4371fcaa74d62805.jpg...\n", "Copying gs://detectmysetup/train/4375785c3a394c69.jpg...\n", "Copying gs://detectmysetup/train/4384d1517863795d.jpg...\n", "Copying gs://detectmysetup/train/438c6c30fc036bd0.jpg...\n", "Copying gs://detectmysetup/train/4399525646301727.jpg...\n", "Copying gs://detectmysetup/train/439bfc6df4490a54.jpg...\n", "Copying gs://detectmysetup/train/43b30bddcdf220c3.jpg...\n", "Copying gs://detectmysetup/train/43cdbae1a04981da.jpg...\n", "Copying gs://detectmysetup/train/43d22deb2f22a3ac.jpg...\n", "Copying gs://detectmysetup/train/43e250443b5054a8.jpg...\n", "Copying gs://detectmysetup/train/43ee85d5f5d0efbf.jpg...\n", "Copying gs://detectmysetup/train/43fd83f231008514.jpg...\n", "Copying gs://detectmysetup/train/43fed140f359ee36.jpg...\n", "Copying gs://detectmysetup/train/442ce2d89df1848f.jpg...\n", "Copying gs://detectmysetup/train/442e3d218084abb4.jpg...\n", "Copying gs://detectmysetup/train/442fc5d241ed6430.jpg...\n", "Copying gs://detectmysetup/train/4432cbafd89fcbd6.jpg...\n", "Copying gs://detectmysetup/train/44428a577cbc439f.jpg...\n", "Copying gs://detectmysetup/train/444b26ae25a9f873.jpg...\n", "Copying gs://detectmysetup/train/444cb9789dfc62ab.jpg...\n", "Copying gs://detectmysetup/train/445343d086151e8c.jpg...\n", "Copying gs://detectmysetup/train/446c46daac890f6d.jpg...\n", "Copying gs://detectmysetup/train/449175d0ba9971c8.jpg...\n", "Copying gs://detectmysetup/train/449b0be5a6be4c46.jpg...\n", "Copying gs://detectmysetup/train/44a6c786ebedd711.jpg...\n", "Copying gs://detectmysetup/train/44a78acaaea20f97.jpg...\n", "Copying gs://detectmysetup/train/44bd8f758abd7826.jpg...\n", "Copying gs://detectmysetup/train/44cabf7ef715ebc1.jpg...\n", "Copying gs://detectmysetup/train/44e307cca4e8edbb.jpg...\n", "Copying gs://detectmysetup/train/451227edc28899e5.jpg...\n", "Copying gs://detectmysetup/train/452e44b1a258c01b.jpg...\n", "Copying gs://detectmysetup/train/45300b5d72f0c377.jpg...\n", "Copying gs://detectmysetup/train/453b8627619d1fb6.jpg...\n", "Copying gs://detectmysetup/train/454f54f1758a164c.jpg...\n", "Copying gs://detectmysetup/train/4561a031dc3cc746.jpg...\n", "Copying gs://detectmysetup/train/45641a1528c9d036.jpg...\n", "Copying gs://detectmysetup/train/457033e56c617431.jpg...\n", "Copying gs://detectmysetup/train/4582f2fb24d08349.jpg...\n", "Copying gs://detectmysetup/train/458d0f778a7a4f71.jpg...\n", "Copying gs://detectmysetup/train/458f7ee55000a28d.jpg...\n", "Copying gs://detectmysetup/train/45903846f0c89475.jpg...\n", "Copying gs://detectmysetup/train/45913902324f968f.jpg...\n", "Copying gs://detectmysetup/train/4595555d3a41272b.jpg...\n", "Copying gs://detectmysetup/train/4597a1580f9c2993.jpg...\n", "Copying gs://detectmysetup/train/45c1734df5151f76.jpg...\n", "Copying gs://detectmysetup/train/45d07f2f8582dfe3.jpg...\n", "Copying gs://detectmysetup/train/45f661e1198271c7.jpg...\n", "Copying gs://detectmysetup/train/461a58b5c11b3a1e.jpg...\n", "Copying gs://detectmysetup/train/4623e7db095b0177.jpg...\n", "Copying gs://detectmysetup/train/46299b3e3b600ff2.jpg...\n", "Copying gs://detectmysetup/train/4639a5d1458e4e1b.jpg...\n", "Copying gs://detectmysetup/train/463e7807163978d3.jpg...\n", "Copying gs://detectmysetup/train/464deb2f21685ce0.jpg...\n", "Copying gs://detectmysetup/train/46572cc9c0218100.jpg...\n", "Copying gs://detectmysetup/train/4660603653199b56.jpg...\n", "Copying gs://detectmysetup/train/467253039d320ace.jpg...\n", "Copying gs://detectmysetup/train/467cf85703f28403.jpg...\n", "Copying gs://detectmysetup/train/467d5ca35ea17358.jpg...\n", "Copying gs://detectmysetup/train/4687d0431b5c6bce.jpg...\n", "Copying gs://detectmysetup/train/468a4bb912f12b06.jpg...\n", "Copying gs://detectmysetup/train/468e5d63179af794.jpg...\n", "Copying gs://detectmysetup/train/469a4a646fb71a74.jpg...\n", "Copying gs://detectmysetup/train/469cedcff903ddcf.jpg...\n", "Copying gs://detectmysetup/train/46a1ff917e2fb7df.jpg...\n", "Copying gs://detectmysetup/train/46c280cf100c43bf.jpg...\n", "Copying gs://detectmysetup/train/46cb9358fde48974.jpg...\n", "Copying gs://detectmysetup/train/46e944a016db1478.jpg...\n", "Copying gs://detectmysetup/train/46f3289c0af08c2f.jpg...\n", "Copying gs://detectmysetup/train/4703627d741f9f18.jpg...\n", "Copying gs://detectmysetup/train/4709715aca5001b5.jpg...\n", "Copying gs://detectmysetup/train/47131fd4b970ee18.jpg...\n", "Copying gs://detectmysetup/train/47312fec8db2d899.jpg...\n", "Copying gs://detectmysetup/train/471538e6d5ab8378.jpg...\n", "Copying gs://detectmysetup/train/47390c747a7ff8be.jpg...\n", "Copying gs://detectmysetup/train/473a9be8985cb0b1.jpg...\n", "Copying gs://detectmysetup/train/473fc8a4d85df30c.jpg...\n", "Copying gs://detectmysetup/train/4744a61a51301798.jpg...\n", "Copying gs://detectmysetup/train/4763a223ec1aa119.jpg...\n", "Copying gs://detectmysetup/train/4769b7252188b764.jpg...\n", "Copying gs://detectmysetup/train/4777edc7beec78e8.jpg...\n", "Copying gs://detectmysetup/train/477da6303d1f6e38.jpg...\n", "Copying gs://detectmysetup/train/478c66a97e599671.jpg...\n", "Copying gs://detectmysetup/train/4796b482977307db.jpg...\n", "Copying gs://detectmysetup/train/479bdcd44d0e8451.jpg...\n", "Copying gs://detectmysetup/train/47a1d14641699f2c.jpg...\n", "Copying gs://detectmysetup/train/47bfed9d99bf5e03.jpg...\n", "Copying gs://detectmysetup/train/47cc1fbbeb17f980.jpg...\n", "Copying gs://detectmysetup/train/47e0d295f012f2f2.jpg...\n", "Copying gs://detectmysetup/train/47e76d376a29323a.jpg...\n", "Copying gs://detectmysetup/train/48003015563fd1ae.jpg...\n", "Copying gs://detectmysetup/train/482b9d67d22bf01f.jpg...\n", "Copying gs://detectmysetup/train/482c42d6bc847305.jpg...\n", "Copying gs://detectmysetup/train/484250aeada97178.jpg...\n", "Copying gs://detectmysetup/train/48528d50c7cb654a.jpg...\n", "Copying gs://detectmysetup/train/48980e562cb97787.jpg...\n", "Copying gs://detectmysetup/train/48b1a8575d9ab2c6.jpg...\n", "Copying gs://detectmysetup/train/48c2c1d2686e7f64.jpg...\n", "Copying gs://detectmysetup/train/48da34c058a567ab.jpg...\n", "Copying gs://detectmysetup/train/48e3eec4f54283dd.jpg...\n", "Copying gs://detectmysetup/train/48ed437c552f1da6.jpg...\n", "Copying gs://detectmysetup/train/4904a7741d9ffa30.jpg...\n", "Copying gs://detectmysetup/train/491267a622502814.jpg...\n", "Copying gs://detectmysetup/train/49137daa3b075e98.jpg...\n", "Copying gs://detectmysetup/train/49308364364e5a4a.jpg...\n", "Copying gs://detectmysetup/train/492e277990704219.jpg...\n", "Copying gs://detectmysetup/train/49444984fee539e7.jpg...\n", "Copying gs://detectmysetup/train/4950fc00d5ca8f25.jpg...\n", "Copying gs://detectmysetup/train/49604fd94627303f.jpg...\n", "Copying gs://detectmysetup/train/4963816b3fc34a75.jpg...\n", "Copying gs://detectmysetup/train/49701de6c927bf2f.jpg...\n", "Copying gs://detectmysetup/train/49a2b02afccfe1d4.jpg...\n", "Copying gs://detectmysetup/train/49a8291cd2dce31c.jpg...\n", "Copying gs://detectmysetup/train/49b1192995e441d2.jpg...\n", "Copying gs://detectmysetup/train/49b9aad197ce5ff6.jpg...\n", "Copying gs://detectmysetup/train/49d8f58e4b94132f.jpg...\n", "Copying gs://detectmysetup/train/49f634bd8879e436.jpg...\n", "Copying gs://detectmysetup/train/4a54998bd71d9bf8.jpg...\n", "Copying gs://detectmysetup/train/4a5905d1896d7004.jpg...\n", "Copying gs://detectmysetup/train/4a5d0176aff69e08.jpg...\n", "Copying gs://detectmysetup/train/4a62f06858e41b91.jpg...\n", "Copying gs://detectmysetup/train/4a68682483e520fc.jpg...\n", "Copying gs://detectmysetup/train/4a81c8e932135eb2.jpg...\n", "Copying gs://detectmysetup/train/4a86489e358822dd.jpg...\n", "Copying gs://detectmysetup/train/4a957d0b5014fe81.jpg...\n", "Copying gs://detectmysetup/train/4ab0b5230a1166aa.jpg...\n", "Copying gs://detectmysetup/train/4aaa074574c9d796.jpg...\n", "Copying gs://detectmysetup/train/4ab42a938e9ca2c7.jpg...\n", "Copying gs://detectmysetup/train/4aea1156eb8316d7.jpg...\n", "Copying gs://detectmysetup/train/4af0624e3cfa3d0f.jpg...\n", "Copying gs://detectmysetup/train/4afcbbea8b08257f.jpg...\n", "Copying gs://detectmysetup/train/4b124d8817bfc131.jpg...\n", "Copying gs://detectmysetup/train/4b1385177afec5f4.jpg...\n", "Copying gs://detectmysetup/train/4b15e479bc41bd6d.jpg...\n", "Copying gs://detectmysetup/train/4b1ad2ffd684c8af.jpg...\n", "Copying gs://detectmysetup/train/4b33d653f57530ea.jpg...\n", "Copying gs://detectmysetup/train/4b36719cd5be04fb.jpg...\n", "Copying gs://detectmysetup/train/4b402fd33c54f5b5.jpg...\n", "Copying gs://detectmysetup/train/4b5ae400374f585b.jpg...\n", "Copying gs://detectmysetup/train/4b730762acb899fc.jpg...\n", "Copying gs://detectmysetup/train/4b6e187c3a8f5911.jpg...\n", "Copying gs://detectmysetup/train/4b79a41671283f18.jpg...\n", "Copying gs://detectmysetup/train/4b7d58915c97308b.jpg...\n", "Copying gs://detectmysetup/train/4b829b43c2daf3a3.jpg...\n", "Copying gs://detectmysetup/train/4b9ef8783f6f3718.jpg...\n", "Copying gs://detectmysetup/train/4b8cc52f9fae096a.jpg...\n", "Copying gs://detectmysetup/train/4baca65b93327255.jpg...\n", "Copying gs://detectmysetup/train/4bdf8759dbb32c06.jpg...\n", "Copying gs://detectmysetup/train/4c093384a8aa5f63.jpg...\n", "Copying gs://detectmysetup/train/4bfb385950a6dc04.jpg...\n", "Copying gs://detectmysetup/train/4c001afa38ea128f.jpg...\n", "Copying gs://detectmysetup/train/4c27d574c04b4ca5.jpg...\n", "Copying gs://detectmysetup/train/4c2d108c9bead646.jpg...\n", "Copying gs://detectmysetup/train/4c2969acd7ba2370.jpg...\n", "Copying gs://detectmysetup/train/4c3b32457b8e96c6.jpg...\n", "Copying gs://detectmysetup/train/4c45e1a4e2fc3e96.jpg...\n", "Copying gs://detectmysetup/train/4c52c9a16e32c873.jpg...\n", "Copying gs://detectmysetup/train/4c52d5e559082201.jpg...\n", "Copying gs://detectmysetup/train/4c53c8637088793e.jpg...\n", "Copying gs://detectmysetup/train/4c5a70a66f1521b2.jpg...\n", "Copying gs://detectmysetup/train/4c6ec88c74d0c33f.jpg...\n", "Copying gs://detectmysetup/train/4c7a17dde71e40fd.jpg...\n", "Copying gs://detectmysetup/train/4c98b91f899ad043.jpg...\n", "Copying gs://detectmysetup/train/4c9b51a01fe093fd.jpg...\n", "Copying gs://detectmysetup/train/4c9bd6ecf95f873a.jpg...\n", "Copying gs://detectmysetup/train/4cb48704580ba288.jpg...\n", "Copying gs://detectmysetup/train/4cc2b519bef7bfb8.jpg...\n", "Copying gs://detectmysetup/train/4cca754eb7885fc8.jpg...\n", "Copying gs://detectmysetup/train/4ccba6e632b576fb.jpg...\n", "Copying gs://detectmysetup/train/4ced33b1d7bdd35c.jpg...\n", "Copying gs://detectmysetup/train/4cd4b816b444a262.jpg...\n", "Copying gs://detectmysetup/train/4d06e7a995d39fac.jpg...\n", "Copying gs://detectmysetup/train/4d24bc5ab489c785.jpg...\n", "Copying gs://detectmysetup/train/4d150deae6eca9eb.jpg...\n", "Copying gs://detectmysetup/train/4d2a0ca1e0d280b6.jpg...\n", "Copying gs://detectmysetup/train/4d4e7bbb4cef53f8.jpg...\n", "Copying gs://detectmysetup/train/4d3a8e4222333008.jpg...\n", "Copying gs://detectmysetup/train/4d5df5bd8d1f5adf.jpg...\n", "Copying gs://detectmysetup/train/4d5f67c332f2d5e9.jpg...\n", "Copying gs://detectmysetup/train/4d640c5e09f49b0b.jpg...\n", "Copying gs://detectmysetup/train/4d85e2416e014cc7.jpg...\n", "Copying gs://detectmysetup/train/4d9d26c2d1b7e539.jpg...\n", "Copying gs://detectmysetup/train/4da85a2d736f1d2a.jpg...\n", "Copying gs://detectmysetup/train/4dac9fba653ed584.jpg...\n", "Copying gs://detectmysetup/train/4daed3a2dc251b3c.jpg...\n", "Copying gs://detectmysetup/train/4db868de00433d91.jpg...\n", "Copying gs://detectmysetup/train/4dbb871e01dd8584.jpg...\n", "Copying gs://detectmysetup/train/4dbc627979130678.jpg...\n", "Copying gs://detectmysetup/train/4dc35784ac750d50.jpg...\n", "Copying gs://detectmysetup/train/4dd8488c40a3ecb7.jpg...\n", "Copying gs://detectmysetup/train/4de878474a8330aa.jpg...\n", "Copying gs://detectmysetup/train/4dda7f7d1e4d36eb.jpg...\n", "Copying gs://detectmysetup/train/4dfd1e57c61d57cb.jpg...\n", "Copying gs://detectmysetup/train/4e031ae808d60586.jpg...\n", "Copying gs://detectmysetup/train/4e32301c5d5e62a5.jpg...\n", "Copying gs://detectmysetup/train/4e60c844c3ce947b.jpg...\n", "Copying gs://detectmysetup/train/4e61799a24159973.jpg...\n", "Copying gs://detectmysetup/train/4e7168826790cb9a.jpg...\n", "Copying gs://detectmysetup/train/4e68fdec518c611d.jpg...\n", "Copying gs://detectmysetup/train/4e76908aa4159087.jpg...\n", "Copying gs://detectmysetup/train/4ea139f066f308b8.jpg...\n", "Copying gs://detectmysetup/train/4eaa1894f1a8d2fc.jpg...\n", "Copying gs://detectmysetup/train/4eb694995360809f.jpg...\n", "Copying gs://detectmysetup/train/4ecb265526123fe8.jpg...\n", "Copying gs://detectmysetup/train/4eb99f688b66ce3f.jpg...\n", "Copying gs://detectmysetup/train/4ecdab668bcef727.jpg...\n", "Copying gs://detectmysetup/train/4ed0dc0e2a46221b.jpg...\n", "Copying gs://detectmysetup/train/4ed9656319328f81.jpg...\n", "Copying gs://detectmysetup/train/4ee8b5b510144a85.jpg...\n", "Copying gs://detectmysetup/train/4ee912f9af6c8fd5.jpg...\n", "Copying gs://detectmysetup/train/4eeae6a9e029a07b.jpg...\n", "Copying gs://detectmysetup/train/4eef4022252dcb2a.jpg...\n", "Copying gs://detectmysetup/train/4f034ceb66e6eec9.jpg...\n", "Copying gs://detectmysetup/train/4f062958997a9853.jpg...\n", "Copying gs://detectmysetup/train/4f0960514034948f.jpg...\n", "Copying gs://detectmysetup/train/4f09eeec6f449185.jpg...\n", "Copying gs://detectmysetup/train/4f0a040614a44a38.jpg...\n", "Copying gs://detectmysetup/train/4f1b780c05f39ff2.jpg...\n", "Copying gs://detectmysetup/train/4f1cf29e378be7fd.jpg...\n", "Copying gs://detectmysetup/train/4f48ab4b2caa36a4.jpg...\n", "Copying gs://detectmysetup/train/4f7071d681e276f6.jpg...\n", "Copying gs://detectmysetup/train/4f757f0c1050d68e.jpg...\n", "Copying gs://detectmysetup/train/4f2ab374615ee877.jpg...\n", "Copying gs://detectmysetup/train/4f7c3e099ced1bf4.jpg...\n", "Copying gs://detectmysetup/train/4fa0bade92d8bb4e.jpg...\n", "Copying gs://detectmysetup/train/4fa5b467c0930988.jpg...\n", "Copying gs://detectmysetup/train/4fa4df95f26c7cc4.jpg...\n", "Copying gs://detectmysetup/train/4fe040dd87acf43a.jpg...\n", "Copying gs://detectmysetup/train/4ffc3c893935f2b0.jpg...\n", "Copying gs://detectmysetup/train/500dffdc1b70ff32.jpg...\n", "Copying gs://detectmysetup/train/50311990d8c9203b.jpg...\n", "Copying gs://detectmysetup/train/504c2cfde8a98b2a.jpg...\n", "Copying gs://detectmysetup/train/504c3419eb94a09a.jpg...\n", "Copying gs://detectmysetup/train/504cd33c336bad9d.jpg...\n", "Copying gs://detectmysetup/train/5056ae11e2a7336d.jpg...\n", "Copying gs://detectmysetup/train/505c8a6e6fa741f5.jpg...\n", "Copying gs://detectmysetup/train/505f6d8a4265d70c.jpg...\n", "Copying gs://detectmysetup/train/507a31defce1b37e.jpg...\n", "Copying gs://detectmysetup/train/507d1c7431a9433f.jpg...\n", "Copying gs://detectmysetup/train/507e13da9f736b63.jpg...\n", "Copying gs://detectmysetup/train/50825d71657304ab.jpg...\n", "Copying gs://detectmysetup/train/508696bb8eed8a4b.jpg...\n", "Copying gs://detectmysetup/train/50a2ee765b9eebd2.jpg...\n", "Copying gs://detectmysetup/train/50a4eedc13bd92ac.jpg...\n", "Copying gs://detectmysetup/train/50a8afc49a8c690c.jpg...\n", "Copying gs://detectmysetup/train/50aacfbcf2208d4a.jpg...\n", "Copying gs://detectmysetup/train/50b4dc8ab0c740d4.jpg...\n", "Copying gs://detectmysetup/train/50c81b503235ff56.jpg...\n", "Copying gs://detectmysetup/train/50bfeaf8464330b1.jpg...\n", "Copying gs://detectmysetup/train/50d730a6efaf71e8.jpg...\n", "Copying gs://detectmysetup/train/50d9f46daf7009eb.jpg...\n", "Copying gs://detectmysetup/train/5108242994d30d7c.jpg...\n", "Copying gs://detectmysetup/train/511adbec545a807d.jpg...\n", "Copying gs://detectmysetup/train/513029176c3f2d7b.jpg...\n", "Copying gs://detectmysetup/train/51378edccc6b7afa.jpg...\n", "Copying gs://detectmysetup/train/51480173b1930ed4.jpg...\n", "Copying gs://detectmysetup/train/514df34a7e93524d.jpg...\n", "Copying gs://detectmysetup/train/51516fef7a5fbf59.jpg...\n", "Copying gs://detectmysetup/train/51533132fb3d9e0e.jpg...\n", "Copying gs://detectmysetup/train/5163b3cb6946ef87.jpg...\n", "Copying gs://detectmysetup/train/518c12854e7e45f4.jpg...\n", "Copying gs://detectmysetup/train/518e68e535c7006e.jpg...\n", "Copying gs://detectmysetup/train/519ef47905d1f846.jpg...\n", "Copying gs://detectmysetup/train/51d455a6b38fc19a.jpg...\n", "Copying gs://detectmysetup/train/51d2004f778dd342.jpg...\n", "Copying gs://detectmysetup/train/51e4f87df0c097ee.jpg...\n", "Copying gs://detectmysetup/train/51efe115cd88bc64.jpg...\n", "Copying gs://detectmysetup/train/5201ef9671b59886.jpg...\n", "Copying gs://detectmysetup/train/520d203bd7932cca.jpg...\n", "Copying gs://detectmysetup/train/52211ad0a78e45e3.jpg...\n", "Copying gs://detectmysetup/train/5225119760514175.jpg...\n", "Copying gs://detectmysetup/train/52289f0db393545f.jpg...\n", "Copying gs://detectmysetup/train/52333137c0398b88.jpg...\n", "Copying gs://detectmysetup/train/5256280167c58f3e.jpg...\n", "Copying gs://detectmysetup/train/525853a02c03df0e.jpg...\n", "Copying gs://detectmysetup/train/5276c5c99d3a7a8e.jpg...\n", "Copying gs://detectmysetup/train/527e8e23f2777c30.jpg...\n", "Copying gs://detectmysetup/train/527f92b11fe0fcbe.jpg...\n", "Copying gs://detectmysetup/train/528deebb2c7fe34e.jpg...\n", "Copying gs://detectmysetup/train/5292ada5c2f6a389.jpg...\n", "Copying gs://detectmysetup/train/529c4e7976add79b.jpg...\n", "Copying gs://detectmysetup/train/529e88125d4858af.jpg...\n", "Copying gs://detectmysetup/train/52aa78dd20ec1ab1.jpg...\n", "Copying gs://detectmysetup/train/52bc01b5301593c8.jpg...\n", "Copying gs://detectmysetup/train/52cdc1b9f8378139.jpg...\n", "Copying gs://detectmysetup/train/52f644b7abaaae07.jpg...\n", "Copying gs://detectmysetup/train/5304b23cf005645d.jpg...\n", "Copying gs://detectmysetup/train/5301dfc0393de8ed.jpg...\n", "Copying gs://detectmysetup/train/5305ba420344a79b.jpg...\n", "Copying gs://detectmysetup/train/530f2d392c824204.jpg...\n", "Copying gs://detectmysetup/train/5314c6472a1acc90.jpg...\n", "Copying gs://detectmysetup/train/5325786949a90dee.jpg...\n", "Copying gs://detectmysetup/train/533865aebab849ec.jpg...\n", "Copying gs://detectmysetup/train/532dfda06bfe8873.jpg...\n", "Copying gs://detectmysetup/train/53492d0fc8c66443.jpg...\n", "Copying gs://detectmysetup/train/5344f563349683c8.jpg...\n", "Copying gs://detectmysetup/train/53563ab5c237722a.jpg...\n", "Copying gs://detectmysetup/train/536054f1fe52dacf.jpg...\n", "Copying gs://detectmysetup/train/53660f8d21c73897.jpg...\n", "Copying gs://detectmysetup/train/53695c945352a66c.jpg...\n", "Copying gs://detectmysetup/train/53a20cc67e2ffc19.jpg...\n", "Copying gs://detectmysetup/train/53ab0575628af68b.jpg...\n", "Copying gs://detectmysetup/train/53e3b9e1526d2707.jpg...\n", "Copying gs://detectmysetup/train/53af2cf5955d0020.jpg...\n", "Copying gs://detectmysetup/train/53f1526d9f717c47.jpg...\n", "Copying gs://detectmysetup/train/542d91ccc069fd23.jpg...\n", "Copying gs://detectmysetup/train/5411812fcabd283c.jpg...\n", "Copying gs://detectmysetup/train/542f35e92bda8a15.jpg...\n", "Copying gs://detectmysetup/train/54319c19dc60982b.jpg...\n", "Copying gs://detectmysetup/train/5460b29e553a47b6.jpg...\n", "Copying gs://detectmysetup/train/54637ac05a685d27.jpg...\n", "Copying gs://detectmysetup/train/54748261b15793f7.jpg...\n", "Copying gs://detectmysetup/train/547e60315cd4f57f.jpg...\n", "Copying gs://detectmysetup/train/5489a89d9e2ba701.jpg...\n", "Copying gs://detectmysetup/train/5489c98fa77abcf2.jpg...\n", "Copying gs://detectmysetup/train/549f11fddc513018.jpg...\n", "Copying gs://detectmysetup/train/54b0370e7042f454.jpg...\n", "Copying gs://detectmysetup/train/54db97edf0b97403.jpg...\n", "Copying gs://detectmysetup/train/54e1b29031e6b7c1.jpg...\n", "Copying gs://detectmysetup/train/54e3e40bfb976fbf.jpg...\n", "Copying gs://detectmysetup/train/54ee2aaf30cad656.jpg...\n", "Copying gs://detectmysetup/train/550dbb2d2654af86.jpg...\n", "Copying gs://detectmysetup/train/551a6dc97c27c6ec.jpg...\n", "Copying gs://detectmysetup/train/551dd59efb859bb2.jpg...\n", "Copying gs://detectmysetup/train/5535fe2b8360cdec.jpg...\n", "Copying gs://detectmysetup/train/5515b0d6903b3ed9.jpg...\n", "Copying gs://detectmysetup/train/553dacea0b35df28.jpg...\n", "Copying gs://detectmysetup/train/554286f54a8d135c.jpg...\n", "Copying gs://detectmysetup/train/554887b77dcf0245.jpg...\n", "Copying gs://detectmysetup/train/5549bab943e9b5c1.jpg...\n", "Copying gs://detectmysetup/train/5555867c7480cd6b.jpg...\n", "Copying gs://detectmysetup/train/555ccf6ca1822914.jpg...\n", "Copying gs://detectmysetup/train/55754a7d00c2dcad.jpg...\n", "Copying gs://detectmysetup/train/557fc0e9460ecd5d.jpg...\n", "Copying gs://detectmysetup/train/55894a10e64bb2ad.jpg...\n", "Copying gs://detectmysetup/train/558beb83600c41bb.jpg...\n", "Copying gs://detectmysetup/train/558f9ed2075bc761.jpg...\n", "Copying gs://detectmysetup/train/559157e8dd1f897b.jpg...\n", "Copying gs://detectmysetup/train/5597a7ce89e452f2.jpg...\n", "Copying gs://detectmysetup/train/55ac3726ef15d17f.jpg...\n", "Copying gs://detectmysetup/train/5590045e39a7ad8a.jpg...\n", "Copying gs://detectmysetup/train/55c3a43e0f8cd1de.jpg...\n", "Copying gs://detectmysetup/train/55df783a0becb620.jpg...\n", "Copying gs://detectmysetup/train/560d310d850de85e.jpg...\n", "Copying gs://detectmysetup/train/560f18afe97af207.jpg...\n", "Copying gs://detectmysetup/train/5620234c7dad7441.jpg...\n", "Copying gs://detectmysetup/train/562f261046a89e8c.jpg...\n", "Copying gs://detectmysetup/train/5632cfaf39bd02b0.jpg...\n", "Copying gs://detectmysetup/train/5649c54d7a1a6ac0.jpg...\n", "Copying gs://detectmysetup/train/565bf4588f4a2922.jpg...\n", "Copying gs://detectmysetup/train/56646d8f3f1f82ef.jpg...\n", "Copying gs://detectmysetup/train/5665516960d31696.jpg...\n", "Copying gs://detectmysetup/train/5670a194257973c7.jpg...\n", "Copying gs://detectmysetup/train/56711520d3a2c83f.jpg...\n", "Copying gs://detectmysetup/train/5672f683edb90d15.jpg...\n", "Copying gs://detectmysetup/train/5673efbf6f6e2950.jpg...\n", "Copying gs://detectmysetup/train/5673fc31d10c0818.jpg...\n", "Copying gs://detectmysetup/train/568289a2bac1b05e.jpg...\n", "Copying gs://detectmysetup/train/568516db86e6dc53.jpg...\n", "Copying gs://detectmysetup/train/56876a3b724ac809.jpg...\n", "Copying gs://detectmysetup/train/569c5142100311c9.jpg...\n", "Copying gs://detectmysetup/train/56d27ea106ea5a1d.jpg...\n", "Copying gs://detectmysetup/train/56ecbe4ab42f2835.jpg...\n", "Copying gs://detectmysetup/train/56f5d535839f9722.jpg...\n", "Copying gs://detectmysetup/train/5701209e7877e0f0.jpg...\n", "Copying gs://detectmysetup/train/5713faaac1768cde.jpg...\n", "Copying gs://detectmysetup/train/573387c09e58a816.jpg...\n", "Copying gs://detectmysetup/train/5735979330751187.jpg...\n", "Copying gs://detectmysetup/train/5736ef73d277af70.jpg...\n", "Copying gs://detectmysetup/train/573b2d96136bd5a5.jpg...\n", "Copying gs://detectmysetup/train/57450f1ed071ed25.jpg...\n", "Copying gs://detectmysetup/train/574b4f6c60df439b.jpg...\n", "Copying gs://detectmysetup/train/57584211017793dd.jpg...\n", "Copying gs://detectmysetup/train/57601e31ea69c361.jpg...\n", "Copying gs://detectmysetup/train/5762e50c681d4cb3.jpg...\n", "Copying gs://detectmysetup/train/5787408099a6bfbc.jpg...\n", "Copying gs://detectmysetup/train/57877f374fba81cc.jpg...\n", "Copying gs://detectmysetup/train/57a289420aa3704d.jpg...\n", "Copying gs://detectmysetup/train/5789383a883dd1a1.jpg...\n", "Copying gs://detectmysetup/train/57ad17d9b17c71fa.jpg...\n", "Copying gs://detectmysetup/train/57bd365d6e525a52.jpg...\n", "Copying gs://detectmysetup/train/57c09bcea8d07ea1.jpg...\n", "Copying gs://detectmysetup/train/57ce38f58c783c1a.jpg...\n", "Copying gs://detectmysetup/train/57ea366a51377958.jpg...\n", "Copying gs://detectmysetup/train/57f07e05bb4b8c5c.jpg...\n", "Copying gs://detectmysetup/train/57f0c2f13a9a0f12.jpg...\n", "Copying gs://detectmysetup/train/57f2ffc6ff495425.jpg...\n", "Copying gs://detectmysetup/train/57fa723de94175fc.jpg...\n", "Copying gs://detectmysetup/train/580303f5adf376f0.jpg...\n", "Copying gs://detectmysetup/train/5811cbe0f06db22c.jpg...\n", "Copying gs://detectmysetup/train/581073f2615014a5.jpg...\n", "Copying gs://detectmysetup/train/5825e6ae1212e152.jpg...\n", "Copying gs://detectmysetup/train/583997d64265de91.jpg...\n", "Copying gs://detectmysetup/train/584286047297c0d0.jpg...\n", "Copying gs://detectmysetup/train/5872a3aab9f2961c.jpg...\n", "Copying gs://detectmysetup/train/58491911c6408a74.jpg...\n", "Copying gs://detectmysetup/train/5882a5137be64905.jpg...\n", "Copying gs://detectmysetup/train/589fa673c61bbbf0.jpg...\n", "Copying gs://detectmysetup/train/58dbf6fe3d41ea15.jpg...\n", "Copying gs://detectmysetup/train/58dd030627375df7.jpg...\n", "Copying gs://detectmysetup/train/58dfc6d240886f2a.jpg...\n", "Copying gs://detectmysetup/train/58e4a0c9df03645a.jpg...\n", "Copying gs://detectmysetup/train/58ebbeb1b9172724.jpg...\n", "Copying gs://detectmysetup/train/58eec7b3606b2fb4.jpg...\n", "Copying gs://detectmysetup/train/58f8a4807cf32e74.jpg...\n", "Copying gs://detectmysetup/train/58fde74b7e151435.jpg...\n", "Copying gs://detectmysetup/train/59007229819916d0.jpg...\n", "Copying gs://detectmysetup/train/5903e5a45bc0efa0.jpg...\n", "Copying gs://detectmysetup/train/590c24c5aec415ec.jpg...\n", "Copying gs://detectmysetup/train/591428cb7ed1995c.jpg...\n", "Copying gs://detectmysetup/train/5915f81b541cceb5.jpg...\n", "Copying gs://detectmysetup/train/59172c4c7c14de3f.jpg...\n", "Copying gs://detectmysetup/train/592175f1f7c10165.jpg...\n", "Copying gs://detectmysetup/train/5928edc8b038dea8.jpg...\n", "Copying gs://detectmysetup/train/592958bd2ae6bbce.jpg...\n", "Copying gs://detectmysetup/train/59430d1b83477d65.jpg...\n", "Copying gs://detectmysetup/train/594794c12390dfc1.jpg...\n", "Copying gs://detectmysetup/train/5948df8916da65b7.jpg...\n", "Copying gs://detectmysetup/train/594f7b26f02986a8.jpg...\n", "Copying gs://detectmysetup/train/5972ac29cd4c0909.jpg...\n", "Copying gs://detectmysetup/train/59a24c378d5555fc.jpg...\n", "Copying gs://detectmysetup/train/59b98e0678ac6408.jpg...\n", "Copying gs://detectmysetup/train/59c09bab18fcc101.jpg...\n", "Copying gs://detectmysetup/train/59c68278069ac341.jpg...\n", "Copying gs://detectmysetup/train/59dc6e6f05af8572.jpg...\n", "Copying gs://detectmysetup/train/59df441da54d0bd0.jpg...\n", "Copying gs://detectmysetup/train/5a03dd430ea3840b.jpg...\n", "Copying gs://detectmysetup/train/5a15999d2d75cffa.jpg...\n", "Copying gs://detectmysetup/train/5a1b5e6df8216761.jpg...\n", "Copying gs://detectmysetup/train/5a220179426c0c56.jpg...\n", "Copying gs://detectmysetup/train/5a34d939fc04b1b7.jpg...\n", "Copying gs://detectmysetup/train/5a3a9fab54a86261.jpg...\n", "Copying gs://detectmysetup/train/5a5241dc5a24eb83.jpg...\n", "Copying gs://detectmysetup/train/5a6088e848aa0ae6.jpg...\n", "Copying gs://detectmysetup/train/5a5864d1ef511b16.jpg...\n", "Copying gs://detectmysetup/train/5a98c396c65a5bf1.jpg...\n", "Copying gs://detectmysetup/train/5aa74393ee91e73a.jpg...\n", "Copying gs://detectmysetup/train/5aaca29fee4a8c2b.jpg...\n", "Copying gs://detectmysetup/train/5aba5282e66492b5.jpg...\n", "Copying gs://detectmysetup/train/5adc4c199269db1b.jpg...\n", "Copying gs://detectmysetup/train/5ae361b730eb0098.jpg...\n", "Copying gs://detectmysetup/train/5ae8fc596ccdd02d.jpg...\n", "Copying gs://detectmysetup/train/5ae9a6e1e23ca734.jpg...\n", "Copying gs://detectmysetup/train/5aebcfd1dbd3f05e.jpg...\n", "Copying gs://detectmysetup/train/5b0b26b2ac5d438c.jpg...\n", "Copying gs://detectmysetup/train/5b1eb9208253264e.jpg...\n", "Copying gs://detectmysetup/train/5b1fae16e59ded76.jpg...\n", "Copying gs://detectmysetup/train/5b20e6fdb68b6c21.jpg...\n", "Copying gs://detectmysetup/train/5b305c7f5a9d9534.jpg...\n", "Copying gs://detectmysetup/train/5b4da5e0ef69ec4a.jpg...\n", "Copying gs://detectmysetup/train/5b3cfcc431755494.jpg...\n", "Copying gs://detectmysetup/train/5b542e9e2678f798.jpg...\n", "Copying gs://detectmysetup/train/5b6bdd44d5bcbf09.jpg...\n", "Copying gs://detectmysetup/train/5b7053a53223ba86.jpg...\n", "Copying gs://detectmysetup/train/5b734ee07e7f03b7.jpg...\n", "Copying gs://detectmysetup/train/5b8b92caf8e3a1a3.jpg...\n", "Copying gs://detectmysetup/train/5b8bcc7dce81a4aa.jpg...\n", "Copying gs://detectmysetup/train/5b909d92a8e958ed.jpg...\n", "Copying gs://detectmysetup/train/5b95f54ef91a59fc.jpg...\n", "Copying gs://detectmysetup/train/5ba968c4de67e2eb.jpg...\n", "Copying gs://detectmysetup/train/5bacd467993dc218.jpg...\n", "Copying gs://detectmysetup/train/5bf6b663bb396273.jpg...\n", "Copying gs://detectmysetup/train/5bba87fe2d62110f.jpg...\n", "Copying gs://detectmysetup/train/5bbddfbccc06bcf3.jpg...\n", "Copying gs://detectmysetup/train/5bf71ac982f036f9.jpg...\n", "Copying gs://detectmysetup/train/5c1e32d18ddd6c0e.jpg...\n", "Copying gs://detectmysetup/train/5c28bbc5a66b1c4c.jpg...\n", "Copying gs://detectmysetup/train/5c40c800611bd515.jpg...\n", "Copying gs://detectmysetup/train/5c53c503ac327dcb.jpg...\n", "Copying gs://detectmysetup/train/5c7298f0d07c9603.jpg...\n", "Copying gs://detectmysetup/train/5c7db51be2cc4874.jpg...\n", "Copying gs://detectmysetup/train/5c84ae154695b807.jpg...\n", "Copying gs://detectmysetup/train/5cb24dc59c2fc068.jpg...\n", "Copying gs://detectmysetup/train/5cd960553085c928.jpg...\n", "Copying gs://detectmysetup/train/5cdc79d61dd19741.jpg...\n", "Copying gs://detectmysetup/train/5cdea61e15f5a597.jpg...\n", "Copying gs://detectmysetup/train/5cf6c4063eb6fc01.jpg...\n", "Copying gs://detectmysetup/train/5d068c4e35f0daea.jpg...\n", "Copying gs://detectmysetup/train/5d0ae3f659ccce04.jpg...\n", "Copying gs://detectmysetup/train/5d08ee8f7bbd38a1.jpg...\n", "Copying gs://detectmysetup/train/5d1dc23d21de927a.jpg...\n", "Copying gs://detectmysetup/train/5d45f32f8e720826.jpg...\n", "Copying gs://detectmysetup/train/5d59c3b3988ca84a.jpg...\n", "Copying gs://detectmysetup/train/5d5b78d2cc39a1bf.jpg...\n", "Copying gs://detectmysetup/train/5d8dc2ef1722c8d1.jpg...\n", "Copying gs://detectmysetup/train/5d815e4335039cd7.jpg...\n", "Copying gs://detectmysetup/train/5d8fcc130df67827.jpg...\n", "Copying gs://detectmysetup/train/5d9f02bada34d037.jpg...\n", "Copying gs://detectmysetup/train/5db0a73fed0b76ab.jpg...\n", "Copying gs://detectmysetup/train/5d97eec1b2b3bcb2.jpg...\n", "Copying gs://detectmysetup/train/5db1f454593ba130.jpg...\n", "Copying gs://detectmysetup/train/5dccaa2e4a9afa7c.jpg...\n", "Copying gs://detectmysetup/train/5dd1dafd09a43789.jpg...\n", "Copying gs://detectmysetup/train/5ddf420602ad187f.jpg...\n", "Copying gs://detectmysetup/train/5de050d4efe6cba0.jpg...\n", "Copying gs://detectmysetup/train/5df91aa91236317a.jpg...\n", "Copying gs://detectmysetup/train/5e04f87aedf56b48.jpg...\n", "Copying gs://detectmysetup/train/5e0daa6ac7d2ef52.jpg...\n", "Copying gs://detectmysetup/train/5e0c0b3864e186a8.jpg...\n", "Copying gs://detectmysetup/train/5e15c09a2050cc7d.jpg...\n", "Copying gs://detectmysetup/train/5e178074c072b037.jpg...\n", "Copying gs://detectmysetup/train/5e206fc896a07dd9.jpg...\n", "Copying gs://detectmysetup/train/5e3558527870c001.jpg...\n", "Copying gs://detectmysetup/train/5e571bb03f837b21.jpg...\n", "Copying gs://detectmysetup/train/5e6ec15d880523d7.jpg...\n", "Copying gs://detectmysetup/train/5e7af1a3e5927d3f.jpg...\n", "Copying gs://detectmysetup/train/5e7e0b684aa1ab29.jpg...\n", "Copying gs://detectmysetup/train/5e8ca86099383f14.jpg...\n", "Copying gs://detectmysetup/train/5e8cea0d989db2e8.jpg...\n", "Copying gs://detectmysetup/train/5ec0d2fd1ecd1d37.jpg...\n", "Copying gs://detectmysetup/train/5ec332bd19668874.jpg...\n", "Copying gs://detectmysetup/train/5ec4b842d95dba15.jpg...\n", "Copying gs://detectmysetup/train/5ec9b990354f2a56.jpg...\n", "Copying gs://detectmysetup/train/5ee0f968efda16bf.jpg...\n", "Copying gs://detectmysetup/train/5f1c52d4c783f4fe.jpg...\n", "Copying gs://detectmysetup/train/5f0327590963c094.jpg...\n", "Copying gs://detectmysetup/train/5f079465999cf457.jpg...\n", "Copying gs://detectmysetup/train/5f58d1bf2bd435c7.jpg...\n", "Copying gs://detectmysetup/train/5f41ccaaadce54bc.jpg...\n", "Copying gs://detectmysetup/train/5f6f9bec956aa49c.jpg...\n", "Copying gs://detectmysetup/train/5f5dfb0073e89c11.jpg...\n", "Copying gs://detectmysetup/train/5f8d8aea4688a763.jpg...\n", "Copying gs://detectmysetup/train/5fa4c3f5dd5cbb12.jpg...\n", "Copying gs://detectmysetup/train/5fc5092c610ffeeb.jpg...\n", "Copying gs://detectmysetup/train/5fc69537f5f2be4a.jpg...\n", "Copying gs://detectmysetup/train/5fd6639cf536ff1f.jpg...\n", "Copying gs://detectmysetup/train/602c9ba71cb6f3d4.jpg...\n", "Copying gs://detectmysetup/train/5ffea92aeec9256f.jpg...\n", "Copying gs://detectmysetup/train/5ff49c73a823251d.jpg...\n", "Copying gs://detectmysetup/train/603d825080899139.jpg...\n", "Copying gs://detectmysetup/train/6053caeae254959e.jpg...\n", "Copying gs://detectmysetup/train/6057d81c4249993b.jpg...\n", "Copying gs://detectmysetup/train/605dba16dbcdeed8.jpg...\n", "Copying gs://detectmysetup/train/606a05c462ec76f2.jpg...\n", "Copying gs://detectmysetup/train/60895784178bd946.jpg...\n", "Copying gs://detectmysetup/train/608ecf7c8f82cc43.jpg...\n", "Copying gs://detectmysetup/train/609dc9a45cb69554.jpg...\n", "Copying gs://detectmysetup/train/609a09e5d6f59d61.jpg...\n", "Copying gs://detectmysetup/train/60a16141ebc62c67.jpg...\n", "Copying gs://detectmysetup/train/60cb37b7ba941b88.jpg...\n", "Copying gs://detectmysetup/train/60cbf1347217d4a8.jpg...\n", "Copying gs://detectmysetup/train/60d1d266a4850bb5.jpg...\n", "Copying gs://detectmysetup/train/6101b81b5ce904eb.jpg...\n", "Copying gs://detectmysetup/train/60de0a90fed08f2f.jpg...\n", "Copying gs://detectmysetup/train/6114e3b03f1a912a.jpg...\n", "Copying gs://detectmysetup/train/613558edb2cf9306.jpg...\n", "Copying gs://detectmysetup/train/61367a887498b2ee.jpg...\n", "Copying gs://detectmysetup/train/6138c3fb5d3228c8.jpg...\n", "Copying gs://detectmysetup/train/6145c1b23395e3b3.jpg...\n", "Copying gs://detectmysetup/train/614d1049b21acacf.jpg...\n", "Copying gs://detectmysetup/train/614f5424c9f7e5b1.jpg...\n", "Copying gs://detectmysetup/train/61511a9747ed3eb3.jpg...\n", "Copying gs://detectmysetup/train/6160bf99601c6a55.jpg...\n", "Copying gs://detectmysetup/train/61616c26715fca89.jpg...\n", "Copying gs://detectmysetup/train/619e31c8ad27f447.jpg...\n", "Copying gs://detectmysetup/train/618e915ff1af67c7.jpg...\n", "Copying gs://detectmysetup/train/619098ed8cb13f3f.jpg...\n", "Copying gs://detectmysetup/train/61d920fc062d3d19.jpg...\n", "Copying gs://detectmysetup/train/61da9676f1624f84.jpg...\n", "Copying gs://detectmysetup/train/61df642249300a8f.jpg...\n", "Copying gs://detectmysetup/train/62059996cfe71a5d.jpg...\n", "Copying gs://detectmysetup/train/621199e8fd572ce7.jpg...\n", "Copying gs://detectmysetup/train/6214cd045a12dc5f.jpg...\n", "Copying gs://detectmysetup/train/621e00a9a1046ac5.jpg...\n", "Copying gs://detectmysetup/train/6221eb0f625d330c.jpg...\n", "Copying gs://detectmysetup/train/622403a9c4911341.jpg...\n", "Copying gs://detectmysetup/train/6236d76a2ee87da5.jpg...\n", "Copying gs://detectmysetup/train/624ab969ac4cb3b8.jpg...\n", "Copying gs://detectmysetup/train/624e26fe0ecf3981.jpg...\n", "Copying gs://detectmysetup/train/62792d5d4f05f1a0.jpg...\n", "Copying gs://detectmysetup/train/629d9152bffc938f.jpg...\n", "Copying gs://detectmysetup/train/62b575b41552b310.jpg...\n", "Copying gs://detectmysetup/train/62b89974dc77d7a6.jpg...\n", "Copying gs://detectmysetup/train/62e1ecf7927602b0.jpg...\n", "Copying gs://detectmysetup/train/62e78039e2511c10.jpg...\n", "Copying gs://detectmysetup/train/62e87314b6f916a8.jpg...\n", "Copying gs://detectmysetup/train/62e9ab04d0f09e9a.jpg...\n", "Copying gs://detectmysetup/train/62eeb807fb4fb7b6.jpg...\n", "Copying gs://detectmysetup/train/631868163b7972cb.jpg...\n", "Copying gs://detectmysetup/train/632c5668ab293f85.jpg...\n", "Copying gs://detectmysetup/train/6332f920b3738975.jpg...\n", "Copying gs://detectmysetup/train/6335468adbb47eb1.jpg...\n", "Copying gs://detectmysetup/train/6346f92fe78c1393.jpg...\n", "Copying gs://detectmysetup/train/634cf11a34fa4314.jpg...\n", "Copying gs://detectmysetup/train/635f9f4b408d5fc5.jpg...\n", "Copying gs://detectmysetup/train/6367fb267d4467da.jpg...\n", "Copying gs://detectmysetup/train/6367175cf20e710d.jpg...\n", "Copying gs://detectmysetup/train/6384d8bebdb89ed0.jpg...\n", "Copying gs://detectmysetup/train/63937e237be6092a.jpg...\n", "Copying gs://detectmysetup/train/63a8aef3c55b020b.jpg...\n", "Copying gs://detectmysetup/train/63b7b51730982406.jpg...\n", "Copying gs://detectmysetup/train/63bbd642a8fbb673.jpg...\n", "Copying gs://detectmysetup/train/63c7460b07439ea5.jpg...\n", "Copying gs://detectmysetup/train/63e3e3b9f35e85cd.jpg...\n", "Copying gs://detectmysetup/train/63e81822f99d87f5.jpg...\n", "Copying gs://detectmysetup/train/63ec3c74e1dcfe54.jpg...\n", "Copying gs://detectmysetup/train/63e9e27de713a124.jpg...\n", "Copying gs://detectmysetup/train/63eef2410517d2ed.jpg...\n", "Copying gs://detectmysetup/train/63f7131c85b9a8f2.jpg...\n", "Copying gs://detectmysetup/train/63f726eec92aeec0.jpg...\n", "Copying gs://detectmysetup/train/6408cfca13d7fb91.jpg...\n", "Copying gs://detectmysetup/train/6418949e77b21ff9.jpg...\n", "Copying gs://detectmysetup/train/6428b05fdc6c9718.jpg...\n", "Copying gs://detectmysetup/train/64588af4396d7c63.jpg...\n", "Copying gs://detectmysetup/train/6484741d97d6ea19.jpg...\n", "Copying gs://detectmysetup/train/64981dc001ff606d.jpg...\n", "Copying gs://detectmysetup/train/64a6523b6b0b4ca1.jpg...\n", "Copying gs://detectmysetup/train/64ada0a0eecfadb0.jpg...\n", "Copying gs://detectmysetup/train/64d110777cd2e95d.jpg...\n", "Copying gs://detectmysetup/train/64d3065ec7ad1865.jpg...\n", "Copying gs://detectmysetup/train/64d394d0eac088b6.jpg...\n", "Copying gs://detectmysetup/train/64e35c57653d30c1.jpg...\n", "Copying gs://detectmysetup/train/64e5dca27af3db1f.jpg...\n", "Copying gs://detectmysetup/train/64e9427c30a2041e.jpg...\n", "Copying gs://detectmysetup/train/64f16b8b1d9358d5.jpg...\n", "Copying gs://detectmysetup/train/650208cd5bd13a03.jpg...\n", "Copying gs://detectmysetup/train/6507f699754deafd.jpg...\n", "Copying gs://detectmysetup/train/652b6093e9ef3d30.jpg...\n", "Copying gs://detectmysetup/train/653537cab6854c2f.jpg...\n", "Copying gs://detectmysetup/train/653927f003b552af.jpg...\n", "Copying gs://detectmysetup/train/6539f19d8065e11a.jpg...\n", "Copying gs://detectmysetup/train/65721ed204076b44.jpg...\n", "Copying gs://detectmysetup/train/657a63805397c152.jpg...\n", "Copying gs://detectmysetup/train/657d0003a90bfe09.jpg...\n", "Copying gs://detectmysetup/train/6580b88cb0180d42.jpg...\n", "Copying gs://detectmysetup/train/6586777e73c870ea.jpg...\n", "Copying gs://detectmysetup/train/65872de5a0eebfb6.jpg...\n", "Copying gs://detectmysetup/train/658e583d39c97033.jpg...\n", "Copying gs://detectmysetup/train/65a148fe09c30d23.jpg...\n", "Copying gs://detectmysetup/train/65c65021fd16cae4.jpg...\n", "Copying gs://detectmysetup/train/65c9f9ee6ef194c0.jpg...\n", "Copying gs://detectmysetup/train/65cb28a0412e7958.jpg...\n", "Copying gs://detectmysetup/train/65d0a6240e239099.jpg...\n", "Copying gs://detectmysetup/train/65e64d9153009f8f.jpg...\n", "Copying gs://detectmysetup/train/65f0c2792c52cab5.jpg...\n", "Copying gs://detectmysetup/train/660522b1fe03b564.jpg...\n", "Copying gs://detectmysetup/train/66053de38d10cad0.jpg...\n", "Copying gs://detectmysetup/train/661191dd22eeb44a.jpg...\n", "Copying gs://detectmysetup/train/66141b4344aa6455.jpg...\n", "Copying gs://detectmysetup/train/662316841e6a9070.jpg...\n", "Copying gs://detectmysetup/train/66478fbfae467c23.jpg...\n", "Copying gs://detectmysetup/train/66669db44b0ff411.jpg...\n", "Copying gs://detectmysetup/train/666f08e0bc8e9b71.jpg...\n", "Copying gs://detectmysetup/train/66730b8209ae8a01.jpg...\n", "Copying gs://detectmysetup/train/6673740565c3cc49.jpg...\n", "Copying gs://detectmysetup/train/6675bcc79f421ca6.jpg...\n", "Copying gs://detectmysetup/train/668d973fb2671c12.jpg...\n", "Copying gs://detectmysetup/train/668da56384469a24.jpg...\n", "Copying gs://detectmysetup/train/66958953936305d4.jpg...\n", "Copying gs://detectmysetup/train/6696e260a0e3cc80.jpg...\n", "Copying gs://detectmysetup/train/66966f79d5f3c17d.jpg...\n", "Copying gs://detectmysetup/train/66a730633e764fb5.jpg...\n", "Copying gs://detectmysetup/train/66b20e1cf4b1e902.jpg...\n", "Copying gs://detectmysetup/train/66d2f4d65e7ef98a.jpg...\n", "Copying gs://detectmysetup/train/66d6cae036e5de51.jpg...\n", "Copying gs://detectmysetup/train/66e53095dfbed9fc.jpg...\n", "Copying gs://detectmysetup/train/66edbcdb1c18ac0f.jpg...\n", "Copying gs://detectmysetup/train/66f81086c31e148e.jpg...\n", "Copying gs://detectmysetup/train/67093893ce658319.jpg...\n", "Copying gs://detectmysetup/train/67219858b143ef57.jpg...\n", "Copying gs://detectmysetup/train/674258f3d2fcf5ba.jpg...\n", "Copying gs://detectmysetup/train/67458bcd6178bc04.jpg...\n", "Copying gs://detectmysetup/train/674d16e49c4cda7e.jpg...\n", "Copying gs://detectmysetup/train/675bbebb6a87e6cb.jpg...\n", "Copying gs://detectmysetup/train/675f66fcca560af2.jpg...\n", "Copying gs://detectmysetup/train/676ffc8f1ae96058.jpg...\n", "Copying gs://detectmysetup/train/67784a245da76cd7.jpg...\n", "Copying gs://detectmysetup/train/677871106aeecb3c.jpg...\n", "Copying gs://detectmysetup/train/67810809c700fa91.jpg...\n", "Copying gs://detectmysetup/train/6797ec5454ff5e32.jpg...\n", "Copying gs://detectmysetup/train/67a10bb56c5d0a1e.jpg...\n", "Copying gs://detectmysetup/train/67af26da7bef3fef.jpg...\n", "Copying gs://detectmysetup/train/67a6553de22438b8.jpg...\n", "Copying gs://detectmysetup/train/67b15b30635a12fd.jpg...\n", "Copying gs://detectmysetup/train/67ec7ef654766371.jpg...\n", "Copying gs://detectmysetup/train/67f3ffed14aab777.jpg...\n", "Copying gs://detectmysetup/train/6814d4f25a8f7b25.jpg...\n", "Copying gs://detectmysetup/train/681aad871877e514.jpg...\n", "Copying gs://detectmysetup/train/6816fce54ea2e8c4.jpg...\n", "Copying gs://detectmysetup/train/6820356c14440b0f.jpg...\n", "Copying gs://detectmysetup/train/682aa2d416276418.jpg...\n", "Copying gs://detectmysetup/train/682c0d63fd3464e5.jpg...\n", "Copying gs://detectmysetup/train/683ecf14e23a366a.jpg...\n", "Copying gs://detectmysetup/train/6848bc615d74c3f6.jpg...\n", "Copying gs://detectmysetup/train/684921f6d750faef.jpg...\n", "Copying gs://detectmysetup/train/687f17fc28b0711a.jpg...\n", "Copying gs://detectmysetup/train/68806c4589ce037c.jpg...\n", "Copying gs://detectmysetup/train/68872b21270e3d53.jpg...\n", "Copying gs://detectmysetup/train/689c27021c9a6a15.jpg...\n", "Copying gs://detectmysetup/train/689c7a5c9fc3d157.jpg...\n", "Copying gs://detectmysetup/train/689d20723533c00b.jpg...\n", "Copying gs://detectmysetup/train/68a409f015811475.jpg...\n", "Copying gs://detectmysetup/train/68adaadf53870320.jpg...\n", "Copying gs://detectmysetup/train/68b3848937e50d82.jpg...\n", "Copying gs://detectmysetup/train/68c02da691525b95.jpg...\n", "Copying gs://detectmysetup/train/68c75b3c6041c8dd.jpg...\n", "Copying gs://detectmysetup/train/68cb0c0a7f7b77d4.jpg...\n", "Copying gs://detectmysetup/train/68e2cfffc79c215c.jpg...\n", "Copying gs://detectmysetup/train/68dca4d2ad249ae6.jpg...\n", "Copying gs://detectmysetup/train/68e6b90c96fb4718.jpg...\n", "Copying gs://detectmysetup/train/691b9c5fa0f21d05.jpg...\n", "Copying gs://detectmysetup/train/691d266c848066ff.jpg...\n", "Copying gs://detectmysetup/train/6933a777f4bd879d.jpg...\n", "Copying gs://detectmysetup/train/6940c16fb7afaa67.jpg...\n", "Copying gs://detectmysetup/train/6947b675e459b115.jpg...\n", "Copying gs://detectmysetup/train/694ff006eda03917.jpg...\n", "Copying gs://detectmysetup/train/694c4a3af64604e3.jpg...\n", "Copying gs://detectmysetup/train/695be839fa2af30c.jpg...\n", "Copying gs://detectmysetup/train/69824f4b8303ada8.jpg...\n", "Copying gs://detectmysetup/train/697e5a04b17cc268.jpg...\n", "Copying gs://detectmysetup/train/697fc218de759849.jpg...\n", "Copying gs://detectmysetup/train/6992abc159cbc19e.jpg...\n", "Copying gs://detectmysetup/train/69ac77ecbd1e2eea.jpg...\n", "Copying gs://detectmysetup/train/69b6bf2d811e2762.jpg...\n", "Copying gs://detectmysetup/train/69b93aa6cb1639ba.jpg...\n", "Copying gs://detectmysetup/train/69c04e615c73ede6.jpg...\n", "Copying gs://detectmysetup/train/69c23631041eb38e.jpg...\n", "Copying gs://detectmysetup/train/69c9145dc28ecb4d.jpg...\n", "Copying gs://detectmysetup/train/69cd3a3d0dcdcdfd.jpg...\n", "Copying gs://detectmysetup/train/69f1fb909e3695e2.jpg...\n", "Copying gs://detectmysetup/train/69f65a7b3702663c.jpg...\n", "Copying gs://detectmysetup/train/6a14bfbc936eb83a.jpg...\n", "Copying gs://detectmysetup/train/6a448077e41762ce.jpg...\n", "Copying gs://detectmysetup/train/6a50642cb8a0c0fb.jpg...\n", "Copying gs://detectmysetup/train/6a5a73db8123f817.jpg...\n", "Copying gs://detectmysetup/train/6a717b0caa0f8ee2.jpg...\n", "Copying gs://detectmysetup/train/6a901ee21ef349c9.jpg...\n", "Copying gs://detectmysetup/train/6a99002bbdc9cbf0.jpg...\n", "Copying gs://detectmysetup/train/6aa857b3b7db930c.jpg...\n", "Copying gs://detectmysetup/train/6aaacf697aea00b5.jpg...\n", "Copying gs://detectmysetup/train/6ab6fce73c12a861.jpg...\n", "Copying gs://detectmysetup/train/6ae331460c819edc.jpg...\n", "Copying gs://detectmysetup/train/6af502f90d70a5cd.jpg...\n", "Copying gs://detectmysetup/train/6afcabb1d6c1425f.jpg...\n", "Copying gs://detectmysetup/train/6b19099b7a950ca8.jpg...\n", "Copying gs://detectmysetup/train/6b2ba02845751d21.jpg...\n", "Copying gs://detectmysetup/train/6b458d10d5752d05.jpg...\n", "Copying gs://detectmysetup/train/6b55348c0b8e3c88.jpg...\n", "Copying gs://detectmysetup/train/6b5660450311d16a.jpg...\n", "Copying gs://detectmysetup/train/6b60862d81e2e8d3.jpg...\n", "Copying gs://detectmysetup/train/6b62ffa0be5f8bca.jpg...\n", "Copying gs://detectmysetup/train/6b6e98cf29b3292b.jpg...\n", "Copying gs://detectmysetup/train/6b77e0ed9619a387.jpg...\n", "Copying gs://detectmysetup/train/6b88fa90bccc37f2.jpg...\n", "Copying gs://detectmysetup/train/6b8a2bdf616e4505.jpg...\n", "Copying gs://detectmysetup/train/6b94a19b6d32c9e0.jpg...\n", "Copying gs://detectmysetup/train/6b98f561615d750b.jpg...\n", "Copying gs://detectmysetup/train/6b9a0b35d3811bd0.jpg...\n", "Copying gs://detectmysetup/train/6ba381803ad3fe85.jpg...\n", "Copying gs://detectmysetup/train/6ba54c560590981d.jpg...\n", "Copying gs://detectmysetup/train/6ba5fe7c3276e431.jpg...\n", "Copying gs://detectmysetup/train/6bed3a2716cba462.jpg...\n", "Copying gs://detectmysetup/train/6c291f2a80e689cb.jpg...\n", "Copying gs://detectmysetup/train/6c3211e07dc7576a.jpg...\n", "Copying gs://detectmysetup/train/6c44305cb7c98bb8.jpg...\n", "Copying gs://detectmysetup/train/6c4480ad2b1bc930.jpg...\n", "Copying gs://detectmysetup/train/6c464ff4691b457e.jpg...\n", "Copying gs://detectmysetup/train/6c4659357fea8e66.jpg...\n", "Copying gs://detectmysetup/train/6c4c7e9e2081d418.jpg...\n", "Copying gs://detectmysetup/train/6c63d92fa74c61e7.jpg...\n", "Copying gs://detectmysetup/train/6c6a8e4f66f93cbd.jpg...\n", "Copying gs://detectmysetup/train/6c8ba44b666bbf1e.jpg...\n", "Copying gs://detectmysetup/train/6c91990d7a94a718.jpg...\n", "Copying gs://detectmysetup/train/6ca247159d2fda55.jpg...\n", "Copying gs://detectmysetup/train/6c970ff58e680818.jpg...\n", "Copying gs://detectmysetup/train/6ca77e0c43a75494.jpg...\n", "Copying gs://detectmysetup/train/6ca816d5621adb21.jpg...\n", "Copying gs://detectmysetup/train/6cb810770b4119cc.jpg...\n", "Copying gs://detectmysetup/train/6cc25b49d90cbb78.jpg...\n", "Copying gs://detectmysetup/train/6cf90b646de3edb0.jpg...\n", "Copying gs://detectmysetup/train/6d0a951a0bd5c4b4.jpg...\n", "Copying gs://detectmysetup/train/6d0de80e5c771474.jpg...\n", "Copying gs://detectmysetup/train/6d259dcc9426c9b2.jpg...\n", "Copying gs://detectmysetup/train/6d27875acfd1be39.jpg...\n", "Copying gs://detectmysetup/train/6d3777ec218401ed.jpg...\n", "Copying gs://detectmysetup/train/6d357f8410328fe4.jpg...\n", "Copying gs://detectmysetup/train/6d7e8e5e1bea86c9.jpg...\n", "Copying gs://detectmysetup/train/6d674bba1ef0f75b.jpg...\n", "Copying gs://detectmysetup/train/6d89e76d5b01fca3.jpg...\n", "Copying gs://detectmysetup/train/6dace9c3e2a14388.jpg...\n", "Copying gs://detectmysetup/train/6db4d16b06117eca.jpg...\n", "Copying gs://detectmysetup/train/6db9355a59104cde.jpg...\n", "Copying gs://detectmysetup/train/6dc6de814308910a.jpg...\n", "Copying gs://detectmysetup/train/6dc850c4a2a91418.jpg...\n", "Copying gs://detectmysetup/train/6dd2902a2294c388.jpg...\n", "Copying gs://detectmysetup/train/6dd5d0f374a9413d.jpg...\n", "Copying gs://detectmysetup/train/6dd8e7a6c490256f.jpg...\n", "Copying gs://detectmysetup/train/6decd8fc369be088.jpg...\n", "Copying gs://detectmysetup/train/6df4fcd1a8ca6a10.jpg...\n", "Copying gs://detectmysetup/train/6e02d4e60cfde0e4.jpg...\n", "Copying gs://detectmysetup/train/6e0724b486157254.jpg...\n", "Copying gs://detectmysetup/train/6e12990718d4581a.jpg...\n", "Copying gs://detectmysetup/train/6e261301961ee682.jpg...\n", "Copying gs://detectmysetup/train/6e3264b5a7b49fdd.jpg...\n", "Copying gs://detectmysetup/train/6e3bcef958a220c1.jpg...\n", "Copying gs://detectmysetup/train/6e3cf2d99394731a.jpg...\n", "Copying gs://detectmysetup/train/6e504c2c7639afa6.jpg...\n", "Copying gs://detectmysetup/train/6e5f704b818876f8.jpg...\n", "Copying gs://detectmysetup/train/6e5b8c0cf2203c0f.jpg...\n", "Copying gs://detectmysetup/train/6e64a02088d5cb7f.jpg...\n", "Copying gs://detectmysetup/train/6e8280ce7561747a.jpg...\n", "Copying gs://detectmysetup/train/6e8946a0396a4f06.jpg...\n", "Copying gs://detectmysetup/train/6e9516d6226f5ed6.jpg...\n", "Copying gs://detectmysetup/train/6e97ff6ef8fc2ba8.jpg...\n", "Copying gs://detectmysetup/train/6ea7288426981fab.jpg...\n", "Copying gs://detectmysetup/train/6eae3fdebb6f6811.jpg...\n", "Copying gs://detectmysetup/train/6ec7db746926b245.jpg...\n", "Copying gs://detectmysetup/train/6eca09154f632270.jpg...\n", "Copying gs://detectmysetup/train/6ed5a27d0b84582b.jpg...\n", "Copying gs://detectmysetup/train/6ed5e651d1718591.jpg...\n", "Copying gs://detectmysetup/train/6efaa4f77f480a89.jpg...\n", "Copying gs://detectmysetup/train/6f1f8d57dd8a4d29.jpg...\n", "Copying gs://detectmysetup/train/6f48b2df6058af4e.jpg...\n", "Copying gs://detectmysetup/train/6f47fa3380527bd6.jpg...\n", "Copying gs://detectmysetup/train/6f4fff7ac8eb550e.jpg...\n", "Copying gs://detectmysetup/train/6f50872263d68eb3.jpg...\n", "Copying gs://detectmysetup/train/6f5e2d5aae23465a.jpg...\n", "Copying gs://detectmysetup/train/6f696134a9150671.jpg...\n", "Copying gs://detectmysetup/train/6f6eea20b5cd09d4.jpg...\n", "Copying gs://detectmysetup/train/6f6fe80448b5ebad.jpg...\n", "Copying gs://detectmysetup/train/6f7261c0d27a96d8.jpg...\n", "Copying gs://detectmysetup/train/6f76ef88033b9a52.jpg...\n", "Copying gs://detectmysetup/train/6f984e588067bf8c.jpg...\n", "Copying gs://detectmysetup/train/6fa2275669da57c9.jpg...\n", "Copying gs://detectmysetup/train/6fa01012b1fb3d34.jpg...\n", "Copying gs://detectmysetup/train/6fc2c620ac433208.jpg...\n", "Copying gs://detectmysetup/train/6fd2555c86f5c323.jpg...\n", "Copying gs://detectmysetup/train/6fdc43a1e1382636.jpg...\n", "Copying gs://detectmysetup/train/6feef45bf42a22c8.jpg...\n", "Copying gs://detectmysetup/train/6fff79d8c5a47085.jpg...\n", "Copying gs://detectmysetup/train/700d685d5be30e80.jpg...\n", "Copying gs://detectmysetup/train/7012f59752ba71e5.jpg...\n", "Copying gs://detectmysetup/train/701f59e5427a87bd.jpg...\n", "Copying gs://detectmysetup/train/7026dc30a43c03d8.jpg...\n", "Copying gs://detectmysetup/train/70288a39d12b811d.jpg...\n", "Copying gs://detectmysetup/train/7029577e6848f307.jpg...\n", "Copying gs://detectmysetup/train/70308eb86da4dedc.jpg...\n", "Copying gs://detectmysetup/train/7036936da6237966.jpg...\n", "Copying gs://detectmysetup/train/703198434bba3bfd.jpg...\n", "Copying gs://detectmysetup/train/7037c05a9bdb6022.jpg...\n", "Copying gs://detectmysetup/train/70489eef1784f40d.jpg...\n", "Copying gs://detectmysetup/train/70540da91c43795c.jpg...\n", "Copying gs://detectmysetup/train/7056c0f09e8ca0ec.jpg...\n", "Copying gs://detectmysetup/train/706152ccfee21efb.jpg...\n", "Copying gs://detectmysetup/train/70667605267741fc.jpg...\n", "Copying gs://detectmysetup/train/708617a1be92cba1.jpg...\n", "Copying gs://detectmysetup/train/709578da214845da.jpg...\n", "Copying gs://detectmysetup/train/70b1c097d3146856.jpg...\n", "Copying gs://detectmysetup/train/70bb536bc64cab01.jpg...\n", "Copying gs://detectmysetup/train/70cc842878bd9c99.jpg...\n", "Copying gs://detectmysetup/train/70d75ebead3542e0.jpg...\n", "Copying gs://detectmysetup/train/70d84a61a7505943.jpg...\n", "Copying gs://detectmysetup/train/70dee2b021891bc8.jpg...\n", "Copying gs://detectmysetup/train/7102963bc8402282.jpg...\n", "Copying gs://detectmysetup/train/711708b21e322bda.jpg...\n", "Copying gs://detectmysetup/train/711bc37ab2b83d04.jpg...\n", "Copying gs://detectmysetup/train/7129a7c8265d0495.jpg...\n", "Copying gs://detectmysetup/train/715eceb7c11086de.jpg...\n", "Copying gs://detectmysetup/train/71758b2fc957090d.jpg...\n", "Copying gs://detectmysetup/train/71aef9eaaff150b7.jpg...\n", "Copying gs://detectmysetup/train/71cf711ecf4b1b4c.jpg...\n", "Copying gs://detectmysetup/train/71d6061c11e59c1e.jpg...\n", "Copying gs://detectmysetup/train/722b400a3cfc68df.jpg...\n", "Copying gs://detectmysetup/train/723044f687002d97.jpg...\n", "Copying gs://detectmysetup/train/725500db11e54860.jpg...\n", "Copying gs://detectmysetup/train/72607579874c09a0.jpg...\n", "Copying gs://detectmysetup/train/727f6a2497619ff9.jpg...\n", "Copying gs://detectmysetup/train/72c8a486a220571c.jpg...\n", "Copying gs://detectmysetup/train/72ceab39b4db44ac.jpg...\n", "Copying gs://detectmysetup/train/72d5b46cc76e0d32.jpg...\n", "Copying gs://detectmysetup/train/72d6e89952f28b0d.jpg...\n", "Copying gs://detectmysetup/train/72e8aa379f3a7fe1.jpg...\n", "Copying gs://detectmysetup/train/72fe0031b49d1907.jpg...\n", "Copying gs://detectmysetup/train/7310a0645d98ba93.jpg...\n", "Copying gs://detectmysetup/train/73324aded8eee916.jpg...\n", "Copying gs://detectmysetup/train/7315d3112d2f9745.jpg...\n", "Copying gs://detectmysetup/train/735329fda8ed0140.jpg...\n", "Copying gs://detectmysetup/train/735daac68752c71a.jpg...\n", "Copying gs://detectmysetup/train/736796ebec3ea537.jpg...\n", "Copying gs://detectmysetup/train/73702e89fe18495b.jpg...\n", "Copying gs://detectmysetup/train/7373eaaa666fbe6c.jpg...\n", "Copying gs://detectmysetup/train/738784cc84ed1a2a.jpg...\n", "Copying gs://detectmysetup/train/73ae70511d4481ec.jpg...\n", "Copying gs://detectmysetup/train/73b04db7a02f726f.jpg...\n", "Copying gs://detectmysetup/train/73a280ffc925e78a.jpg...\n", "Copying gs://detectmysetup/train/73c3200c187e1a20.jpg...\n", "Copying gs://detectmysetup/train/73dd70fe8078a8b6.jpg...\n", "Copying gs://detectmysetup/train/73bfb86b1b5f3b1b.jpg...\n", "Copying gs://detectmysetup/train/73e307aee12a36f3.jpg...\n", "Copying gs://detectmysetup/train/73ec2508e38fe2b8.jpg...\n", "Copying gs://detectmysetup/train/73ff650d00ad8ed3.jpg...\n", "Copying gs://detectmysetup/train/74067bd94d44b457.jpg...\n", "Copying gs://detectmysetup/train/7406c19f307abf02.jpg...\n", "Copying gs://detectmysetup/train/740711ade43677da.jpg...\n", "Copying gs://detectmysetup/train/7415b301a48c8e7a.jpg...\n", "Copying gs://detectmysetup/train/7415c4ac8fd09fa7.jpg...\n", "Copying gs://detectmysetup/train/7422b24a7d5ebe6d.jpg...\n", "Copying gs://detectmysetup/train/742869228c83d4c4.jpg...\n", "Copying gs://detectmysetup/train/7435bb9dc116ae6e.jpg...\n", "Copying gs://detectmysetup/train/74370651d38eb979.jpg...\n", "Copying gs://detectmysetup/train/744d703f5098aa76.jpg...\n", "Copying gs://detectmysetup/train/746394fe8a6f9857.jpg...\n", "Copying gs://detectmysetup/train/746aac5c398a74e8.jpg...\n", "Copying gs://detectmysetup/train/74735473b35413e2.jpg...\n", "Copying gs://detectmysetup/train/7476bdc93ec88518.jpg...\n", "Copying gs://detectmysetup/train/7488064f72fd625a.jpg...\n", "Copying gs://detectmysetup/train/74926e53ebbb2173.jpg...\n", "Copying gs://detectmysetup/train/7493c77300187752.jpg...\n", "Copying gs://detectmysetup/train/74974c2cf5408bd0.jpg...\n", "Copying gs://detectmysetup/train/74c025a679b08c81.jpg...\n", "Copying gs://detectmysetup/train/74c435bb83c27a9e.jpg...\n", "Copying gs://detectmysetup/train/74ce83aea3726d84.jpg...\n", "Copying gs://detectmysetup/train/74e23ff9a225a0cd.jpg...\n", "Copying gs://detectmysetup/train/74e5d4f03b9513f0.jpg...\n", "Copying gs://detectmysetup/train/74e722f29eefcabe.jpg...\n", "Copying gs://detectmysetup/train/74ea4c2911ea774b.jpg...\n", "Copying gs://detectmysetup/train/74eba5404e3ccac4.jpg...\n", "Copying gs://detectmysetup/train/75019b90e3592989.jpg...\n", "Copying gs://detectmysetup/train/752072d520f1db48.jpg...\n", "Copying gs://detectmysetup/train/7533dcab3b2374a2.jpg...\n", "Copying gs://detectmysetup/train/7537d497a2137319.jpg...\n", "Copying gs://detectmysetup/train/753ce377ac3778ca.jpg...\n", "Copying gs://detectmysetup/train/753ea11ed4c2f796.jpg...\n", "Copying gs://detectmysetup/train/754b7e8a97d07a9a.jpg...\n", "Copying gs://detectmysetup/train/754f61276e460fe6.jpg...\n", "Copying gs://detectmysetup/train/755dba9fc2b362e4.jpg...\n", "Copying gs://detectmysetup/train/75638ed99815af61.jpg...\n", "Copying gs://detectmysetup/train/756e962a86693995.jpg...\n", "Copying gs://detectmysetup/train/7572b7b8717976a5.jpg...\n", "Copying gs://detectmysetup/train/757428ca8a0e7c6a.jpg...\n", "Copying gs://detectmysetup/train/758e49a45435bfa1.jpg...\n", "Copying gs://detectmysetup/train/758e50d5899b1d8c.jpg...\n", "Copying gs://detectmysetup/train/758ee854cdaa58ca.jpg...\n", "Copying gs://detectmysetup/train/759e037aeb096aa1.jpg...\n", "Copying gs://detectmysetup/train/75ba6d9beb6df1b6.jpg...\n", "Copying gs://detectmysetup/train/75bcfd37cf6626c0.jpg...\n", "Copying gs://detectmysetup/train/75c0bdec50de54c0.jpg...\n", "Copying gs://detectmysetup/train/75c0cfca5568f4ba.jpg...\n", "Copying gs://detectmysetup/train/75cf2b49071835d5.jpg...\n", "Copying gs://detectmysetup/train/75e4841db54a6344.jpg...\n", "Copying gs://detectmysetup/train/75dd62c661b6f259.jpg...\n", "Copying gs://detectmysetup/train/75efcd5dc5ac1aa6.jpg...\n", "Copying gs://detectmysetup/train/75f57fc27a6a1536.jpg...\n", "Copying gs://detectmysetup/train/7602233fcfd743bf.jpg...\n", "Copying gs://detectmysetup/train/761353b627c897ce.jpg...\n", "Copying gs://detectmysetup/train/76136c15fe54cc6e.jpg...\n", "Copying gs://detectmysetup/train/761decd241191e95.jpg...\n", "Copying gs://detectmysetup/train/7640273ca247cebd.jpg...\n", "Copying gs://detectmysetup/train/767a795580355bb3.jpg...\n", "Copying gs://detectmysetup/train/7671f14679d589b1.jpg...\n", "Copying gs://detectmysetup/train/768ff3a535616629.jpg...\n", "Copying gs://detectmysetup/train/76ad0577d58756c2.jpg...\n", "Copying gs://detectmysetup/train/76d873cfb6e149e1.jpg...\n", "Copying gs://detectmysetup/train/76b67b18c1171cf6.jpg...\n", "Copying gs://detectmysetup/train/7718d66e2b17643e.jpg...\n", "Copying gs://detectmysetup/train/77299af7ece10eb8.jpg...\n", "Copying gs://detectmysetup/train/7742e3f8c25f218c.jpg...\n", "Copying gs://detectmysetup/train/775973103e55d2e6.jpg...\n", "Copying gs://detectmysetup/train/77660f4247790973.jpg...\n", "Copying gs://detectmysetup/train/777852065f4ec725.jpg...\n", "Copying gs://detectmysetup/train/777889a5e9787442.jpg...\n", "Copying gs://detectmysetup/train/777e14a837e589a8.jpg...\n", "Copying gs://detectmysetup/train/7799c7e6268c1b77.jpg...\n", "Copying gs://detectmysetup/train/77a78dc532b7a480.jpg...\n", "Copying gs://detectmysetup/train/77b98420450c9e1a.jpg...\n", "Copying gs://detectmysetup/train/77d10f8cc0fc9428.jpg...\n", "Copying gs://detectmysetup/train/77d6956f2b4bc871.jpg...\n", "Copying gs://detectmysetup/train/7825de41803383da.jpg...\n", "Copying gs://detectmysetup/train/7825f8075846a823.jpg...\n", "Copying gs://detectmysetup/train/782b2d42a7534c3e.jpg...\n", "Copying gs://detectmysetup/train/784a20ac68443587.jpg...\n", "Copying gs://detectmysetup/train/785f9eca6c0cc3a8.jpg...\n", "Copying gs://detectmysetup/train/786bf1fb5e8e1089.jpg...\n", "Copying gs://detectmysetup/train/786aa3a0b9159ccc.jpg...\n", "Copying gs://detectmysetup/train/78759ba1686306c6.jpg...\n", "Copying gs://detectmysetup/train/7872e011c4717b7c.jpg...\n", "Copying gs://detectmysetup/train/7881a39783f41ed6.jpg...\n", "Copying gs://detectmysetup/train/7881eec2cc8f8cc5.jpg...\n", "Copying gs://detectmysetup/train/7889c95a09c988a7.jpg...\n", "Copying gs://detectmysetup/train/788d2ca278044ae1.jpg...\n", "Copying gs://detectmysetup/train/78a5ea362a254281.jpg...\n", "Copying gs://detectmysetup/train/78c2a7a0c4dcc748.jpg...\n", "Copying gs://detectmysetup/train/78c3451505587859.jpg...\n", "Copying gs://detectmysetup/train/78d418ca6d35157d.jpg...\n", "Copying gs://detectmysetup/train/78e6503e21a6f2b9.jpg...\n", "Copying gs://detectmysetup/train/78e277dc817ba73f.jpg...\n", "Copying gs://detectmysetup/train/78f07a76dc72f289.jpg...\n", "Copying gs://detectmysetup/train/78f83a554d1c6f03.jpg...\n", "Copying gs://detectmysetup/train/78ff22962b937b6f.jpg...\n", "Copying gs://detectmysetup/train/79026bb004e9b0ae.jpg...\n", "Copying gs://detectmysetup/train/790d5af51fe01643.jpg...\n", "Copying gs://detectmysetup/train/7910ac79a50bc2db.jpg...\n", "Copying gs://detectmysetup/train/791610cf0578395b.jpg...\n", "Copying gs://detectmysetup/train/791a5e26c8b866c7.jpg...\n", "Copying gs://detectmysetup/train/7929c77766de2323.jpg...\n", "Copying gs://detectmysetup/train/7947f9e0d80a6821.jpg...\n", "Copying gs://detectmysetup/train/794c231a3090fa60.jpg...\n", "Copying gs://detectmysetup/train/79589524bc02e3d9.jpg...\n", "Copying gs://detectmysetup/train/7964f79800acdc33.jpg...\n", "Copying gs://detectmysetup/train/7989871e476c970b.jpg...\n", "Copying gs://detectmysetup/train/798ff03f19030244.jpg...\n", "Copying gs://detectmysetup/train/79ae3a86175b0fb3.jpg...\n", "Copying gs://detectmysetup/train/79b2d291287fb0a0.jpg...\n", "Copying gs://detectmysetup/train/79c24640b8714e18.jpg...\n", "Copying gs://detectmysetup/train/79c30786651dccd1.jpg...\n", "Copying gs://detectmysetup/train/79de89be558392d3.jpg...\n", "Copying gs://detectmysetup/train/79ded570afd7ccfd.jpg...\n", "Copying gs://detectmysetup/train/79ef5fcc1ee1ecc5.jpg...\n", "Copying gs://detectmysetup/train/7a0bcdb5172f716f.jpg...\n", "Copying gs://detectmysetup/train/7a119bf6e54a6c3d.jpg...\n", "Copying gs://detectmysetup/train/7a1505bd68739a6e.jpg...\n", "Copying gs://detectmysetup/train/7a19891152a83658.jpg...\n", "Copying gs://detectmysetup/train/7a1e044666093e4e.jpg...\n", "Copying gs://detectmysetup/train/7a2bed956ace0a82.jpg...\n", "Copying gs://detectmysetup/train/7a234128ed7af403.jpg...\n", "Copying gs://detectmysetup/train/7a3e7758b374cb07.jpg...\n", "Copying gs://detectmysetup/train/7a4a3df5c66607da.jpg...\n", "Copying gs://detectmysetup/train/7a55dc2e32ad3569.jpg...\n", "Copying gs://detectmysetup/train/7a583929833e2577.jpg...\n", "Copying gs://detectmysetup/train/7a7a95b25aeaa447.jpg...\n", "Copying gs://detectmysetup/train/7a87df6b4bfaf938.jpg...\n", "Copying gs://detectmysetup/train/7a95b5a4ec6bfe8b.jpg...\n", "Copying gs://detectmysetup/train/7aadc7c302158e54.jpg...\n", "Copying gs://detectmysetup/train/7abf328b38068f47.jpg...\n", "Copying gs://detectmysetup/train/7ac19835c9371fa9.jpg...\n", "Copying gs://detectmysetup/train/7ad00c79c3d979f5.jpg...\n", "Copying gs://detectmysetup/train/7ae722d6af66c4b5.jpg...\n", "Copying gs://detectmysetup/train/7af09bb8e6dd1274.jpg...\n", "Copying gs://detectmysetup/train/7afe35692f2cb7d1.jpg...\n", "Copying gs://detectmysetup/train/7af55be068562350.jpg...\n", "Copying gs://detectmysetup/train/7af7452b9b8e80da.jpg...\n", "Copying gs://detectmysetup/train/7b02f2b95f54a927.jpg...\n", "Copying gs://detectmysetup/train/7b3fb6e05b9e11c4.jpg...\n", "Copying gs://detectmysetup/train/7b4423a6cc8731cd.jpg...\n", "Copying gs://detectmysetup/train/7b4e561ad80a6b45.jpg...\n", "Copying gs://detectmysetup/train/7b73e9999d31cf2d.jpg...\n", "Copying gs://detectmysetup/train/7b77598a7b6994bd.jpg...\n", "Copying gs://detectmysetup/train/7b78462df539765e.jpg...\n", "Copying gs://detectmysetup/train/7b79d03adc3ad835.jpg...\n", "Copying gs://detectmysetup/train/7b823ffcce3a3a52.jpg...\n", "Copying gs://detectmysetup/train/7b7df286987c6708.jpg...\n", "Copying gs://detectmysetup/train/7b8d007a2ca1661a.jpg...\n", "Copying gs://detectmysetup/train/7b8fa47e4f3d40af.jpg...\n", "Copying gs://detectmysetup/train/7bb3281e21453d26.jpg...\n", "Copying gs://detectmysetup/train/7bb4d47e03372061.jpg...\n", "Copying gs://detectmysetup/train/7bc4cef98f9c7d32.jpg...\n", "Copying gs://detectmysetup/train/7bbb20b8f1ead3d2.jpg...\n", "Copying gs://detectmysetup/train/7be630a91829ca52.jpg...\n", "Copying gs://detectmysetup/train/7c1641fd945a8980.jpg...\n", "Copying gs://detectmysetup/train/7c3d91175022c828.jpg...\n", "Copying gs://detectmysetup/train/7c40351730219d1c.jpg...\n", "Copying gs://detectmysetup/train/7c458840be74bc6d.jpg...\n", "Copying gs://detectmysetup/train/7c549e13c74a95f0.jpg...\n", "Copying gs://detectmysetup/train/7c64d3e52c7b0b37.jpg...\n", "Copying gs://detectmysetup/train/7c69ab7ea090b9ca.jpg...\n", "Copying gs://detectmysetup/train/7c6d77feb9435e35.jpg...\n", "Copying gs://detectmysetup/train/7c6fbb771403285b.jpg...\n", "Copying gs://detectmysetup/train/7c84bd3c1095d09a.jpg...\n", "Copying gs://detectmysetup/train/7cb5ebe497c04290.jpg...\n", "Copying gs://detectmysetup/train/7cd4ad2e38cd4c20.jpg...\n", "Copying gs://detectmysetup/train/7ce67501dcec9607.jpg...\n", "Copying gs://detectmysetup/train/7cd6a6d54005113f.jpg...\n", "Copying gs://detectmysetup/train/7cec953fc3bb529c.jpg...\n", "Copying gs://detectmysetup/train/7cfb22501f4f551d.jpg...\n", "Copying gs://detectmysetup/train/7cfe10e906b34aa0.jpg...\n", "Copying gs://detectmysetup/train/7d0f1dc5e499817e.jpg...\n", "Copying gs://detectmysetup/train/7d10e496d37bb81c.jpg...\n", "Copying gs://detectmysetup/train/7d229e44f47467c4.jpg...\n", "Copying gs://detectmysetup/train/7d29e331afd23ca7.jpg...\n", "Copying gs://detectmysetup/train/7d4380727f1206f2.jpg...\n", "Copying gs://detectmysetup/train/7d6b0070e0d2b14d.jpg...\n", "Copying gs://detectmysetup/train/7d6fe9ccebdddea8.jpg...\n", "Copying gs://detectmysetup/train/7d7cda191d73cfcf.jpg...\n", "Copying gs://detectmysetup/train/7d7d9622d4766635.jpg...\n", "Copying gs://detectmysetup/train/7d81349ffcadaa64.jpg...\n", "Copying gs://detectmysetup/train/7d930e70cd3b11a7.jpg...\n", "Copying gs://detectmysetup/train/7da17203281919f4.jpg...\n", "Copying gs://detectmysetup/train/7dadd671a10d7994.jpg...\n", "Copying gs://detectmysetup/train/7da94ab1673145ad.jpg...\n", "Copying gs://detectmysetup/train/7dcd007d4da9c7c1.jpg...\n", "Copying gs://detectmysetup/train/7dde23db34c2a598.jpg...\n", "Copying gs://detectmysetup/train/7df826ade1d4064e.jpg...\n", "Copying gs://detectmysetup/train/7e025aec3013fb7e.jpg...\n", "Copying gs://detectmysetup/train/7e06964232454296.jpg...\n", "Copying gs://detectmysetup/train/7e0f5db668d73274.jpg...\n", "Copying gs://detectmysetup/train/7e153ccc34b60d4e.jpg...\n", "Copying gs://detectmysetup/train/7e1b1c1d154e1976.jpg...\n", "Copying gs://detectmysetup/train/7e2b808bd3ece4a4.jpg...\n", "Copying gs://detectmysetup/train/7e3d3a4242e47fb6.jpg...\n", "Copying gs://detectmysetup/train/7e47e11b67635952.jpg...\n", "Copying gs://detectmysetup/train/7e55aadb65d8eba0.jpg...\n", "Copying gs://detectmysetup/train/7e5941a4ffd90c77.jpg...\n", "Copying gs://detectmysetup/train/7e5f9439d76436e6.jpg...\n", "Copying gs://detectmysetup/train/7e75dc53246aa767.jpg...\n", "Copying gs://detectmysetup/train/7e7ba7ceda052e80.jpg...\n", "Copying gs://detectmysetup/train/7e93f32183184010.jpg...\n", "Copying gs://detectmysetup/train/7eb5e986fd7bdcda.jpg...\n", "Copying gs://detectmysetup/train/7ecddc3463d27792.jpg...\n", "Copying gs://detectmysetup/train/7ef7ab0ed966e319.jpg...\n", "Copying gs://detectmysetup/train/7f265110bfa6f4c6.jpg...\n", "Copying gs://detectmysetup/train/7f36814ea8730fdf.jpg...\n", "Copying gs://detectmysetup/train/7f544b9b2a4f6c77.jpg...\n", "Copying gs://detectmysetup/train/7f6bff93d0ad055c.jpg...\n", "Copying gs://detectmysetup/train/7fa64b6c4ebbd226.jpg...\n", "Copying gs://detectmysetup/train/7faefe5fa928c36e.jpg...\n", "Copying gs://detectmysetup/train/7fd33ed26534d945.jpg...\n", "Copying gs://detectmysetup/train/7ff0876e2af0159b.jpg...\n", "Copying gs://detectmysetup/train/7fd6641eaf4d82a9.jpg...\n", "Copying gs://detectmysetup/train/7ff2140b72f136f3.jpg...\n", "Copying gs://detectmysetup/train/7ff5154d65344cf6.jpg...\n", "Copying gs://detectmysetup/train/7ff8350938da8f9b.jpg...\n", "Copying gs://detectmysetup/train/800b917fd55afbe8.jpg...\n", "Copying gs://detectmysetup/train/802b91da9499d540.jpg...\n", "Copying gs://detectmysetup/train/802e89317243964c.jpg...\n", "Copying gs://detectmysetup/train/802c94ae0475dfbe.jpg...\n", "Copying gs://detectmysetup/train/803d32b88cb0e8a1.jpg...\n", "Copying gs://detectmysetup/train/805537acffceba83.jpg...\n", "Copying gs://detectmysetup/train/805a9502d4a6f09c.jpg...\n", "Copying gs://detectmysetup/train/8060deacabc466a9.jpg...\n", "Copying gs://detectmysetup/train/806761c58d65c83e.jpg...\n", "Copying gs://detectmysetup/train/807078381d29e2a7.jpg...\n", "Copying gs://detectmysetup/train/806a3ba89e2905d0.jpg...\n", "Copying gs://detectmysetup/train/8076e1c87c43c923.jpg...\n", "Copying gs://detectmysetup/train/807aed2308347fe6.jpg...\n", "Copying gs://detectmysetup/train/80858430685401f1.jpg...\n", "Copying gs://detectmysetup/train/8092a497f8201450.jpg...\n", "Copying gs://detectmysetup/train/80b7b45b2ebd29cb.jpg...\n", "Copying gs://detectmysetup/train/80c858ee91acafdf.jpg...\n", "Copying gs://detectmysetup/train/80cd29cec6720b28.jpg...\n", "Copying gs://detectmysetup/train/80d3fba6a19bcf2b.jpg...\n", "Copying gs://detectmysetup/train/80d81bb939198938.jpg...\n", "Copying gs://detectmysetup/train/80eae41b48354413.jpg...\n", "Copying gs://detectmysetup/train/80ee61b3184d112d.jpg...\n", "Copying gs://detectmysetup/train/810d659cc34a56c1.jpg...\n", "Copying gs://detectmysetup/train/812858e4633c3599.jpg...\n", "Copying gs://detectmysetup/train/814754776fa2c0c6.jpg...\n", "Copying gs://detectmysetup/train/81555e875f014981.jpg...\n", "Copying gs://detectmysetup/train/815aa1f55db3d37b.jpg...\n", "Copying gs://detectmysetup/train/815c567386b14522.jpg...\n", "Copying gs://detectmysetup/train/81676e34e8fbe58c.jpg...\n", "Copying gs://detectmysetup/train/817675cf07473085.jpg...\n", "Copying gs://detectmysetup/train/817c756a310fb095.jpg...\n", "Copying gs://detectmysetup/train/81811a90ce3995fd.jpg...\n", "Copying gs://detectmysetup/train/81a81deacd314fae.jpg...\n", "Copying gs://detectmysetup/train/81a85706ac79b512.jpg...\n", "Copying gs://detectmysetup/train/81b019beb83dbd58.jpg...\n", "Copying gs://detectmysetup/train/81b70c1bb57719e4.jpg...\n", "Copying gs://detectmysetup/train/81b7c7a8662f9f13.jpg...\n", "Copying gs://detectmysetup/train/81c4a6725d07f700.jpg...\n", "Copying gs://detectmysetup/train/81eab3145e126817.jpg...\n", "Copying gs://detectmysetup/train/8216ecc5b42b2156.jpg...\n", "Copying gs://detectmysetup/train/81fd8ce8b76941a5.jpg...\n", "Copying gs://detectmysetup/train/821756beac028b67.jpg...\n", "Copying gs://detectmysetup/train/822c9c1d9fd122ce.jpg...\n", "Copying gs://detectmysetup/train/821c2eca3a2fc2a2.jpg...\n", "Copying gs://detectmysetup/train/8233391dab3cb2ec.jpg...\n", "Copying gs://detectmysetup/train/826a0d0460f11ac6.jpg...\n", "Copying gs://detectmysetup/train/826b1edb85c7e14a.jpg...\n", "Copying gs://detectmysetup/train/826d6683d61a169a.jpg...\n", "Copying gs://detectmysetup/train/8273ca6689c7a4ac.jpg...\n", "Copying gs://detectmysetup/train/82776402e6161090.jpg...\n", "Copying gs://detectmysetup/train/82a3afb38c75f675.jpg...\n", "Copying gs://detectmysetup/train/82ad10aa50bcbd54.jpg...\n", "Copying gs://detectmysetup/train/82b4071b49ec8045.jpg...\n", "Copying gs://detectmysetup/train/83295651af916204.jpg...\n", "Copying gs://detectmysetup/train/8349b96235d7203c.jpg...\n", "Copying gs://detectmysetup/train/834d0f61e64b8762.jpg...\n", "Copying gs://detectmysetup/train/835a5f154ea1195f.jpg...\n", "Copying gs://detectmysetup/train/8378d5f00d67bb40.jpg...\n", "Copying gs://detectmysetup/train/837e0213324127f9.jpg...\n", "Copying gs://detectmysetup/train/838227f492ad8335.jpg...\n", "Copying gs://detectmysetup/train/839c80ed2c05aa62.jpg...\n", "Copying gs://detectmysetup/train/839f7fef2edf52d3.jpg...\n", "Copying gs://detectmysetup/train/83a756a284328835.jpg...\n", "Copying gs://detectmysetup/train/83b39be7ce2145bc.jpg...\n", "Copying gs://detectmysetup/train/83c00115524204d4.jpg...\n", "Copying gs://detectmysetup/train/83c5ae86c00912bf.jpg...\n", "Copying gs://detectmysetup/train/83d02ea40c2c15dc.jpg...\n", "Copying gs://detectmysetup/train/83f85d4ca9d6f32e.jpg...\n", "Copying gs://detectmysetup/train/83fd682ee62ec71f.jpg...\n", "Copying gs://detectmysetup/train/840b82fcb6ce4fd2.jpg...\n", "Copying gs://detectmysetup/train/841c4d941ca8d3f5.jpg...\n", "Copying gs://detectmysetup/train/841fbf7426a8ea48.jpg...\n", "Copying gs://detectmysetup/train/8432e3a84afa0cac.jpg...\n", "Copying gs://detectmysetup/train/845bcce737e6d1a0.jpg...\n", "Copying gs://detectmysetup/train/84444eb51174d90d.jpg...\n", "Copying gs://detectmysetup/train/846955992a8066c4.jpg...\n", "Copying gs://detectmysetup/train/848123abe35e3aec.jpg...\n", "Copying gs://detectmysetup/train/848201887954d0a8.jpg...\n", "Copying gs://detectmysetup/train/84b080971bba8a8a.jpg...\n", "Copying gs://detectmysetup/train/84a9fdf6c447a2c6.jpg...\n", "Copying gs://detectmysetup/train/84b791b05b5a25fb.jpg...\n", "Copying gs://detectmysetup/train/84c913177312a5b9.jpg...\n", "Copying gs://detectmysetup/train/84f7205c0b3504b4.jpg...\n", "Copying gs://detectmysetup/train/84fbe346229ead2f.jpg...\n", "Copying gs://detectmysetup/train/85068c9ba5951f5a.jpg...\n", "Copying gs://detectmysetup/train/8516599d8307e61c.jpg...\n", "Copying gs://detectmysetup/train/851b53e2b424cf98.jpg...\n", "Copying gs://detectmysetup/train/851f22b892d51d4c.jpg...\n", "Copying gs://detectmysetup/train/852074bd05238c57.jpg...\n", "Copying gs://detectmysetup/train/854202d7564920be.jpg...\n", "Copying gs://detectmysetup/train/857c25ece9e527d1.jpg...\n", "Copying gs://detectmysetup/train/8557b915fa8771e9.jpg...\n", "Copying gs://detectmysetup/train/857ee9646a0ae80b.jpg...\n", "Copying gs://detectmysetup/train/8581c2cc7579f108.jpg...\n", "Copying gs://detectmysetup/train/8590dedfea0ef3ae.jpg...\n", "Copying gs://detectmysetup/train/85ab856b55665bb4.jpg...\n", "Copying gs://detectmysetup/train/85d248be4ef7db0a.jpg...\n", "Copying gs://detectmysetup/train/85d6f8900c9db93e.jpg...\n", "Copying gs://detectmysetup/train/85ddee3bf0a32ca7.jpg...\n", "Copying gs://detectmysetup/train/8614159d1200e788.jpg...\n", "Copying gs://detectmysetup/train/85e4653dd84cc1b2.jpg...\n", "Copying gs://detectmysetup/train/86146199ed90aa2a.jpg...\n", "Copying gs://detectmysetup/train/8621eacbe8265390.jpg...\n", "Copying gs://detectmysetup/train/862f3fe6794b88f2.jpg...\n", "Copying gs://detectmysetup/train/863a3a8a4f695ffd.jpg...\n", "Copying gs://detectmysetup/train/863ec4377967900a.jpg...\n", "Copying gs://detectmysetup/train/86407a12b14ea428.jpg...\n", "Copying gs://detectmysetup/train/864e27bb39bb3be2.jpg...\n", "Copying gs://detectmysetup/train/86941bd9de1cb2be.jpg...\n", "Copying gs://detectmysetup/train/8650d4fc4f42ad8d.jpg...\n", "Copying gs://detectmysetup/train/86a03e8bac658dfa.jpg...\n", "Copying gs://detectmysetup/train/86b7f53459c22980.jpg...\n", "Copying gs://detectmysetup/train/86b5ce51ba4e53ee.jpg...\n", "Copying gs://detectmysetup/train/86c20e9e926c4abf.jpg...\n", "Copying gs://detectmysetup/train/86d9555cc3eaeecd.jpg...\n", "Copying gs://detectmysetup/train/86daee83192e2c3a.jpg...\n", "Copying gs://detectmysetup/train/86f0c52473762edb.jpg...\n", "Copying gs://detectmysetup/train/86fc801c6f645704.jpg...\n", "Copying gs://detectmysetup/train/8742439257cc498c.jpg...\n", "Copying gs://detectmysetup/train/8748f6b11370a121.jpg...\n", "Copying gs://detectmysetup/train/874a909248ebc936.jpg...\n", "Copying gs://detectmysetup/train/874faf99e3b37c0a.jpg...\n", "Copying gs://detectmysetup/train/876bc582bd682c6a.jpg...\n", "Copying gs://detectmysetup/train/8772af345940b69c.jpg...\n", "Copying gs://detectmysetup/train/877fb2932112580b.jpg...\n", "Copying gs://detectmysetup/train/878a14b8bd5a54bf.jpg...\n", "Copying gs://detectmysetup/train/87542fa3412a5e30.jpg...\n", "Copying gs://detectmysetup/train/878a1caa83e0e0c6.jpg...\n", "Copying gs://detectmysetup/train/878ee1b5c9863e40.jpg...\n", "Copying gs://detectmysetup/train/87a55492d4a36ce4.jpg...\n", "Copying gs://detectmysetup/train/87b84f079f5f2c2b.jpg...\n", "Copying gs://detectmysetup/train/8803b162d5481b95.jpg...\n", "Copying gs://detectmysetup/train/8804cdd92802f671.jpg...\n", "Copying gs://detectmysetup/train/880660fb229b0fb1.jpg...\n", "Copying gs://detectmysetup/train/882dae9401b77292.jpg...\n", "Copying gs://detectmysetup/train/883d9fb28ab1047b.jpg...\n", "Copying gs://detectmysetup/train/88405203d613ee5f.jpg...\n", "Copying gs://detectmysetup/train/8843b5581cecea57.jpg...\n", "Copying gs://detectmysetup/train/8846db2637397914.jpg...\n", "Copying gs://detectmysetup/train/8848bd33f9f30516.jpg...\n", "Copying gs://detectmysetup/train/8855d3ccd843b4b3.jpg...\n", "Copying gs://detectmysetup/train/885bff4cd3edf826.jpg...\n", "Copying gs://detectmysetup/train/886d91bddac44d8e.jpg...\n", "Copying gs://detectmysetup/train/886fb08f8049bf9a.jpg...\n", "Copying gs://detectmysetup/train/88757b421dfcd664.jpg...\n", "Copying gs://detectmysetup/train/88879df209c5b914.jpg...\n", "Copying gs://detectmysetup/train/888ea6099c16adba.jpg...\n", "Copying gs://detectmysetup/train/889fd1210e02063f.jpg...\n", "Copying gs://detectmysetup/train/88a6cf0abdf87f11.jpg...\n", "Copying gs://detectmysetup/train/88cf21f446dad863.jpg...\n", "Copying gs://detectmysetup/train/88ded9f84e38f4dc.jpg...\n", "Copying gs://detectmysetup/train/88fe55ee708cab78.jpg...\n", "Copying gs://detectmysetup/train/890bedd4b0118894.jpg...\n", "Copying gs://detectmysetup/train/89243220e6765440.jpg...\n", "Copying gs://detectmysetup/train/8924a7d88f5a6497.jpg...\n", "Copying gs://detectmysetup/train/892a2ed22a0769e8.jpg...\n", "Copying gs://detectmysetup/train/89335a7d6c2e68aa.jpg...\n", "Copying gs://detectmysetup/train/893657a758edd554.jpg...\n", "Copying gs://detectmysetup/train/893e71732695d695.jpg...\n", "Copying gs://detectmysetup/train/8971a3d70ba8d450.jpg...\n", "Copying gs://detectmysetup/train/8995e4ea4c8da23a.jpg...\n", "Copying gs://detectmysetup/train/899f6109dead274f.jpg...\n", "Copying gs://detectmysetup/train/89ae89cb33b416ba.jpg...\n", "Copying gs://detectmysetup/train/89b6ee71fd05c8ab.jpg...\n", "Copying gs://detectmysetup/train/89fe0b0d123de023.jpg...\n", "Copying gs://detectmysetup/train/8a06195a1bd8cda6.jpg...\n", "Copying gs://detectmysetup/train/8a0716f6d734cdef.jpg...\n", "Copying gs://detectmysetup/train/8a484c1091768189.jpg...\n", "Copying gs://detectmysetup/train/8a4521bef35125d7.jpg...\n", "Copying gs://detectmysetup/train/8a48bc714d98e513.jpg...\n", "Copying gs://detectmysetup/train/8a563755f31422d8.jpg...\n", "Copying gs://detectmysetup/train/8a56516d601b287a.jpg...\n", "Copying gs://detectmysetup/train/8a61760f0fc92c0d.jpg...\n", "Copying gs://detectmysetup/train/8a68604c55301abf.jpg...\n", "Copying gs://detectmysetup/train/8a8f619a3a40448d.jpg...\n", "Copying gs://detectmysetup/train/8abc8dc6a844ab0c.jpg...\n", "Copying gs://detectmysetup/train/8adc9f586f974fd2.jpg...\n", "Copying gs://detectmysetup/train/8ae5181c413ffff6.jpg...\n", "Copying gs://detectmysetup/train/8af28bf6770bfa29.jpg...\n", "Copying gs://detectmysetup/train/8afd0cbfa346a24e.jpg...\n", "Copying gs://detectmysetup/train/8b058278c3f1543b.jpg...\n", "Copying gs://detectmysetup/train/8b15a63552c3b878.jpg...\n", "Copying gs://detectmysetup/train/8b1c30b678fbd61e.jpg...\n", "Copying gs://detectmysetup/train/8b1dfd2843af36d8.jpg...\n", "Copying gs://detectmysetup/train/8b20ad16f24bb054.jpg...\n", "Copying gs://detectmysetup/train/8b22b07962a7d658.jpg...\n", "Copying gs://detectmysetup/train/8b26520d1b842a0a.jpg...\n", "Copying gs://detectmysetup/train/8b3aaa3cdc4245e2.jpg...\n", "Copying gs://detectmysetup/train/8b2ecdb073a72192.jpg...\n", "Copying gs://detectmysetup/train/8b436c4120ba4484.jpg...\n", "Copying gs://detectmysetup/train/8b4ef1a9cc85fd0e.jpg...\n", "Copying gs://detectmysetup/train/8b5bc982069ff012.jpg...\n", "Copying gs://detectmysetup/train/8b704459b34b036a.jpg...\n", "Copying gs://detectmysetup/train/8b7eb8e9bbfbefd3.jpg...\n", "Copying gs://detectmysetup/train/8b796ad0dbe15863.jpg...\n", "Copying gs://detectmysetup/train/8b905e59f01888f7.jpg...\n", "Copying gs://detectmysetup/train/8b9a56aac72abf7e.jpg...\n", "Copying gs://detectmysetup/train/8ba465c09629138a.jpg...\n", "Copying gs://detectmysetup/train/8bb6b111e9e8c794.jpg...\n", "Copying gs://detectmysetup/train/8bbca9c854cebd9b.jpg...\n", "Copying gs://detectmysetup/train/8bbf8947f3e19154.jpg...\n", "Copying gs://detectmysetup/train/8bca91ee6169b581.jpg...\n", "Copying gs://detectmysetup/train/8bd214a3efe71697.jpg...\n", "Copying gs://detectmysetup/train/8bfa006e6cbc02c7.jpg...\n", "Copying gs://detectmysetup/train/8c085164298281ae.jpg...\n", "Copying gs://detectmysetup/train/8c25301ab5655cca.jpg...\n", "Copying gs://detectmysetup/train/8c321a873601c432.jpg...\n", "Copying gs://detectmysetup/train/8c35d79b67d413c0.jpg...\n", "Copying gs://detectmysetup/train/8c35a9b82887c7fb.jpg...\n", "Copying gs://detectmysetup/train/8c3e6d3a3dbcff0e.jpg...\n", "Copying gs://detectmysetup/train/8c39e65fcea93b44.jpg...\n", "Copying gs://detectmysetup/train/8c43249c132556a3.jpg...\n", "Copying gs://detectmysetup/train/8c540306f43db9d0.jpg...\n", "Copying gs://detectmysetup/train/8c698b98236d5565.jpg...\n", "Copying gs://detectmysetup/train/8c72323948df74a4.jpg...\n", "Copying gs://detectmysetup/train/8c913e6e9cc0f18a.jpg...\n", "Copying gs://detectmysetup/train/8c99b7fbcaabf0f4.jpg...\n", "Copying gs://detectmysetup/train/8cd3c13f7b90ee59.jpg...\n", "Copying gs://detectmysetup/train/8ca0ee39da81ae58.jpg...\n", "Copying gs://detectmysetup/train/8ce904f6fa980b6a.jpg...\n", "Copying gs://detectmysetup/train/8cf55e6579038c1e.jpg...\n", "Copying gs://detectmysetup/train/8cf563762a7e5ccc.jpg...\n", "Copying gs://detectmysetup/train/8cf9b75b97733aaa.jpg...\n", "Copying gs://detectmysetup/train/8cfc9af18f2bbe40.jpg...\n", "Copying gs://detectmysetup/train/8cfff4db998d6b81.jpg...\n", "Copying gs://detectmysetup/train/8d04a3cecf55fc0b.jpg...\n", "Copying gs://detectmysetup/train/8d12b0b6d16fe4ac.jpg...\n", "Copying gs://detectmysetup/train/8d138bb7ea6a2148.jpg...\n", "Copying gs://detectmysetup/train/8d14ac13e59f1bf5.jpg...\n", "Copying gs://detectmysetup/train/8d23e128229a6568.jpg...\n", "Copying gs://detectmysetup/train/8d2b98bae4f35843.jpg...\n", "Copying gs://detectmysetup/train/8d537c84104e68d2.jpg...\n", "Copying gs://detectmysetup/train/8d52d7eb4c4f1a2c.jpg...\n", "Copying gs://detectmysetup/train/8d58d1e72d886d30.jpg...\n", "Copying gs://detectmysetup/train/8d746058feccc8ee.jpg...\n", "Copying gs://detectmysetup/train/8d75b8fbfcb74348.jpg...\n", "Copying gs://detectmysetup/train/8d90019b52c32d20.jpg...\n", "Copying gs://detectmysetup/train/8db0bda9d63e7654.jpg...\n", "Copying gs://detectmysetup/train/8db2411bdfc0aaee.jpg...\n", "Copying gs://detectmysetup/train/8db63d1fb9fdcbec.jpg...\n", "Copying gs://detectmysetup/train/8dc3ebb731d2ddd0.jpg...\n", "Copying gs://detectmysetup/train/8de5a9de5de6da3a.jpg...\n", "Copying gs://detectmysetup/train/8dece2b36d667730.jpg...\n", "Copying gs://detectmysetup/train/8e0f649262ae1ded.jpg...\n", "Copying gs://detectmysetup/train/8e14f38acd47a09e.jpg...\n", "Copying gs://detectmysetup/train/8e2c0c0e9d9bd3e0.jpg...\n", "Copying gs://detectmysetup/train/8e3735d20c5b4b00.jpg...\n", "Copying gs://detectmysetup/train/8e3f35d14af2dc22.jpg...\n", "Copying gs://detectmysetup/train/8e6df3d14f071c1c.jpg...\n", "Copying gs://detectmysetup/train/8e6bb8e23e3baf40.jpg...\n", "Copying gs://detectmysetup/train/8ea65ab54414ce50.jpg...\n", "Copying gs://detectmysetup/train/8eb62b6348d7a2c7.jpg...\n", "Copying gs://detectmysetup/train/8ec5e5327c2f6cce.jpg...\n", "Copying gs://detectmysetup/train/8ec3fbd1d150cc97.jpg...\n", "Copying gs://detectmysetup/train/8efec77a2fb50bbc.jpg...\n", "Copying gs://detectmysetup/train/8f139166c0cac555.jpg...\n", "Copying gs://detectmysetup/train/8f16f17da5130234.jpg...\n", "Copying gs://detectmysetup/train/8f344e1ce0ba5214.jpg...\n", "Copying gs://detectmysetup/train/8f3dbd81584b91c6.jpg...\n", "Copying gs://detectmysetup/train/8f4e69c49878b69f.jpg...\n", "Copying gs://detectmysetup/train/8f5e4db3965f1c48.jpg...\n", "Copying gs://detectmysetup/train/8f5f3ee18f47b948.jpg...\n", "Copying gs://detectmysetup/train/8f65596e029ff5ab.jpg...\n", "Copying gs://detectmysetup/train/8f6c73488f70f3ef.jpg...\n", "Copying gs://detectmysetup/train/8f914d0da0e07aec.jpg...\n", "Copying gs://detectmysetup/train/8f784a9e0cae2a6d.jpg...\n", "Copying gs://detectmysetup/train/8f9eb013df89f9e1.jpg...\n", "Copying gs://detectmysetup/train/8fa3dd7109853ece.jpg...\n", "Copying gs://detectmysetup/train/8fa02d4b8758d3bd.jpg...\n", "Copying gs://detectmysetup/train/8fb34f08554b8889.jpg...\n", "Copying gs://detectmysetup/train/8fb5718778f1d769.jpg...\n", "Copying gs://detectmysetup/train/8fc094cf41df967e.jpg...\n", "Copying gs://detectmysetup/train/8fce0d44da2e2085.jpg...\n", "Copying gs://detectmysetup/train/8fd4a85db63db48e.jpg...\n", "Copying gs://detectmysetup/train/8fd7b65c4a753086.jpg...\n", "Copying gs://detectmysetup/train/8fd805cc72bbf202.jpg...\n", "Copying gs://detectmysetup/train/8fe48fbfbb66e932.jpg...\n", "Copying gs://detectmysetup/train/8fe5916688c14275.jpg...\n", "Copying gs://detectmysetup/train/8fe9db4a270d0268.jpg...\n", "Copying gs://detectmysetup/train/8fffe78f959aae61.jpg...\n", "Copying gs://detectmysetup/train/90482ea56bb5b835.jpg...\n", "Copying gs://detectmysetup/train/904fc9373c269588.jpg...\n", "Copying gs://detectmysetup/train/905f3545b31b50cf.jpg...\n", "Copying gs://detectmysetup/train/90a0c9aa3574f883.jpg...\n", "Copying gs://detectmysetup/train/90685927c3f346aa.jpg...\n", "Copying gs://detectmysetup/train/90a1727fe2b65384.jpg...\n", "Copying gs://detectmysetup/train/90bce4ba6f6446f0.jpg...\n", "Copying gs://detectmysetup/train/90bd16b6506222f8.jpg...\n", "Copying gs://detectmysetup/train/90c127ac8e0cefac.jpg...\n", "Copying gs://detectmysetup/train/90de711c9321f6ec.jpg...\n", "Copying gs://detectmysetup/train/90e0c661ebfa783c.jpg...\n", "Copying gs://detectmysetup/train/90e1086d8e6d5033.jpg...\n", "Copying gs://detectmysetup/train/90f94387bcde13bd.jpg...\n", "Copying gs://detectmysetup/train/90fe5f2ec6b60324.jpg...\n", "Copying gs://detectmysetup/train/910427fc33853a47.jpg...\n", "Copying gs://detectmysetup/train/9112541dfbacb74e.jpg...\n", "Copying gs://detectmysetup/train/91206d082c7280e3.jpg...\n", "Copying gs://detectmysetup/train/9148ec8a550f774c.jpg...\n", "Copying gs://detectmysetup/train/91578a7455d9f6d9.jpg...\n", "Copying gs://detectmysetup/train/9187c83a27f9dcb7.jpg...\n", "Copying gs://detectmysetup/train/914e7dc10587bf7c.jpg...\n", "Copying gs://detectmysetup/train/91d4b765045506b5.jpg...\n", "Copying gs://detectmysetup/train/91d94e8977ec882c.jpg...\n", "Copying gs://detectmysetup/train/91ec04981dc304c5.jpg...\n", "Copying gs://detectmysetup/train/91f9caa2bc383aac.jpg...\n", "Copying gs://detectmysetup/train/91f4e58eb4fb2da6.jpg...\n", "Copying gs://detectmysetup/train/91fb31bfdd4a99a8.jpg...\n", "Copying gs://detectmysetup/train/92046bf0c593ea53.jpg...\n", "Copying gs://detectmysetup/train/9210750b38692528.jpg...\n", "Copying gs://detectmysetup/train/921326cafe140b0b.jpg...\n", "Copying gs://detectmysetup/train/9218ec0ed05c9037.jpg...\n", "Copying gs://detectmysetup/train/9244e99bd770f4c3.jpg...\n", "Copying gs://detectmysetup/train/9249d1f206b9edb5.jpg...\n", "Copying gs://detectmysetup/train/925f1b4bb117711d.jpg...\n", "Copying gs://detectmysetup/train/92a54979d5e43c96.jpg...\n", "Copying gs://detectmysetup/train/92ae5211a22ea6eb.jpg...\n", "Copying gs://detectmysetup/train/92af34424d0fe11d.jpg...\n", "Copying gs://detectmysetup/train/92b67a376ccc9850.jpg...\n", "Copying gs://detectmysetup/train/92c68993617aa08b.jpg...\n", "Copying gs://detectmysetup/train/92d5e91b62a11755.jpg...\n", "Copying gs://detectmysetup/train/92e3de591083a4b3.jpg...\n", "Copying gs://detectmysetup/train/92eea1b98033f06c.jpg...\n", "Copying gs://detectmysetup/train/930188a0ee172238.jpg...\n", "Copying gs://detectmysetup/train/930ebeea4f66fef6.jpg...\n", "Copying gs://detectmysetup/train/931baabddc53c616.jpg...\n", "Copying gs://detectmysetup/train/932d575ea5943875.jpg...\n", "Copying gs://detectmysetup/train/932c96c608108cef.jpg...\n", "Copying gs://detectmysetup/train/93421c50ae094a0d.jpg...\n", "Copying gs://detectmysetup/train/9345797831f7c807.jpg...\n", "Copying gs://detectmysetup/train/935fb943bda7089a.jpg...\n", "Copying gs://detectmysetup/train/936a6d462e9d4873.jpg...\n", "Copying gs://detectmysetup/train/9375125edc8bd261.jpg...\n", "Copying gs://detectmysetup/train/93945f541d0f356f.jpg...\n", "Copying gs://detectmysetup/train/93dbe43064bf2777.jpg...\n", "Copying gs://detectmysetup/train/93a4975fd7ad56e4.jpg...\n", "Copying gs://detectmysetup/train/93f938b10491a784.jpg...\n", "Copying gs://detectmysetup/train/9405c4423891dd17.jpg...\n", "Copying gs://detectmysetup/train/940785b82a6d9ffc.jpg...\n", "Copying gs://detectmysetup/train/9411cef2f7cbdef3.jpg...\n", "Copying gs://detectmysetup/train/9419bdb441af5b5b.jpg...\n", "Copying gs://detectmysetup/train/941a8cbdddd40502.jpg...\n", "Copying gs://detectmysetup/train/94365cd774100030.jpg...\n", "Copying gs://detectmysetup/train/9438e7d21d87ec5f.jpg...\n", "Copying gs://detectmysetup/train/945370c09943286d.jpg...\n", "Copying gs://detectmysetup/train/947aca4f644a2515.jpg...\n", "Copying gs://detectmysetup/train/9464fdd9e9cf1df2.jpg...\n", "Copying gs://detectmysetup/train/94862d281015db74.jpg...\n", "Copying gs://detectmysetup/train/948c941983a48fd1.jpg...\n", "Copying gs://detectmysetup/train/9491079ef20b8e51.jpg...\n", "Copying gs://detectmysetup/train/9492384b0a7ea328.jpg...\n", "Copying gs://detectmysetup/train/9496c28a21bc7887.jpg...\n", "Copying gs://detectmysetup/train/949d6a713347e3c6.jpg...\n", "Copying gs://detectmysetup/train/94b38dc911902763.jpg...\n", "Copying gs://detectmysetup/train/94a0ab63467c64ca.jpg...\n", "Copying gs://detectmysetup/train/94c252b213eadecd.jpg...\n", "Copying gs://detectmysetup/train/94c29d3a504344e8.jpg...\n", "Copying gs://detectmysetup/train/94d6a5e9ec2c26dc.jpg...\n", "Copying gs://detectmysetup/train/94d7ddfb02acec55.jpg...\n", "Copying gs://detectmysetup/train/94eee70ff984a622.jpg...\n", "Copying gs://detectmysetup/train/9551eb5203b1d013.jpg...\n", "Copying gs://detectmysetup/train/9575b979ca4cdbbc.jpg...\n", "Copying gs://detectmysetup/train/9576d2bf1319630b.jpg...\n", "Copying gs://detectmysetup/train/9576a8f8efce86e4.jpg...\n", "Copying gs://detectmysetup/train/958f8fa39f0bc645.jpg...\n", "Copying gs://detectmysetup/train/95a199368ea4c9b8.jpg...\n", "Copying gs://detectmysetup/train/95daa5f01b2be5b2.jpg...\n", "Copying gs://detectmysetup/train/95f5568beb24d9d6.jpg...\n", "Copying gs://detectmysetup/train/95f7880fe721d386.jpg...\n", "Copying gs://detectmysetup/train/95f93f457db5cea5.jpg...\n", "Copying gs://detectmysetup/train/9604920954667085.jpg...\n", "Copying gs://detectmysetup/train/9602679c37567972.jpg...\n", "Copying gs://detectmysetup/train/960787c074fbe37c.jpg...\n", "Copying gs://detectmysetup/train/960dbe03b4cb71b1.jpg...\n", "Copying gs://detectmysetup/train/9618410e2cfafb90.jpg...\n", "Copying gs://detectmysetup/train/960e27d83c5a274a.jpg...\n", "Copying gs://detectmysetup/train/9637c410af7a6aa8.jpg...\n", "Copying gs://detectmysetup/train/96569da8bb19035c.jpg...\n", "Copying gs://detectmysetup/train/9657dec117330c21.jpg...\n", "Copying gs://detectmysetup/train/968c8a35a9b9f524.jpg...\n", "Copying gs://detectmysetup/train/969545d891cfc7de.jpg...\n", "Copying gs://detectmysetup/train/96b51edcaf6d4921.jpg...\n", "Copying gs://detectmysetup/train/96d22cdc1f525fd7.jpg...\n", "Copying gs://detectmysetup/train/96cfb351da709ba0.jpg...\n", "Copying gs://detectmysetup/train/96b6f68d55bd4885.jpg...\n", "Copying gs://detectmysetup/train/96de4418f34701a6.jpg...\n", "Copying gs://detectmysetup/train/96e0e923f6dbfd0b.jpg...\n", "Copying gs://detectmysetup/train/96e9dc5abd4cd7c7.jpg...\n", "Copying gs://detectmysetup/train/96ec0e0b2bed32aa.jpg...\n", "Copying gs://detectmysetup/train/96f05d207f681b2c.jpg...\n", "Copying gs://detectmysetup/train/96f9b9848884d85a.jpg...\n", "Copying gs://detectmysetup/train/96fff31ba9a66c54.jpg...\n", "Copying gs://detectmysetup/train/9734a21d2264b905.jpg...\n", "Copying gs://detectmysetup/train/973c0181f4b30534.jpg...\n", "Copying gs://detectmysetup/train/975677c3734f12e1.jpg...\n", "Copying gs://detectmysetup/train/977d05f403688691.jpg...\n", "Copying gs://detectmysetup/train/979c8149da66a6bd.jpg...\n", "Copying gs://detectmysetup/train/979db89536afb53c.jpg...\n", "Copying gs://detectmysetup/train/97a468218a0bd8fd.jpg...\n", "Copying gs://detectmysetup/train/97acfdb6d313fe55.jpg...\n", "Copying gs://detectmysetup/train/97af8f90bd9bce3c.jpg...\n", "Copying gs://detectmysetup/train/97bdd5a57b16b163.jpg...\n", "Copying gs://detectmysetup/train/97dc6c80d1e158bf.jpg...\n", "Copying gs://detectmysetup/train/97f8ba1dd7089b75.jpg...\n", "Copying gs://detectmysetup/train/980a6d8e6b194547.jpg...\n", "Copying gs://detectmysetup/train/98165caf5f73233d.jpg...\n", "Copying gs://detectmysetup/train/9820d3f3d56eb9cb.jpg...\n", "Copying gs://detectmysetup/train/982b2ef17c182087.jpg...\n", "Copying gs://detectmysetup/train/9833f33646d1c59c.jpg...\n", "Copying gs://detectmysetup/train/98511c9925873ae9.jpg...\n", "Copying gs://detectmysetup/train/98364902bb658faa.jpg...\n", "Copying gs://detectmysetup/train/986c32d60eea6854.jpg...\n", "Copying gs://detectmysetup/train/9877958f0fb00f7f.jpg...\n", "Copying gs://detectmysetup/train/988d3dbd8be7e7c3.jpg...\n", "Copying gs://detectmysetup/train/9895f66a7888d51f.jpg...\n", "Copying gs://detectmysetup/train/98bd987a0cb44d68.jpg...\n", "Copying gs://detectmysetup/train/98ded789e4fa958f.jpg...\n", "Copying gs://detectmysetup/train/98e893e63df0c7ef.jpg...\n", "Copying gs://detectmysetup/train/9901de3309170c1a.jpg...\n", "Copying gs://detectmysetup/train/990a7cb34aa8ffc8.jpg...\n", "Copying gs://detectmysetup/train/990c557d8b63208e.jpg...\n", "Copying gs://detectmysetup/train/993d47c46f05a998.jpg...\n", "Copying gs://detectmysetup/train/99460433d2a6b380.jpg...\n", "Copying gs://detectmysetup/train/994b2df87f5aa02c.jpg...\n", "Copying gs://detectmysetup/train/994e5bd80ce5111d.jpg...\n", "Copying gs://detectmysetup/train/994deff608782bd2.jpg...\n", "Copying gs://detectmysetup/train/995bbcb6ad756393.jpg...\n", "Copying gs://detectmysetup/train/9960fe8f9e0e12b5.jpg...\n", "Copying gs://detectmysetup/train/9969127b75d75232.jpg...\n", "Copying gs://detectmysetup/train/996d9ebffeed1628.jpg...\n", "Copying gs://detectmysetup/train/996ff4161f602bbc.jpg...\n", "Copying gs://detectmysetup/train/9979b5dca944a23a.jpg...\n", "Copying gs://detectmysetup/train/997ee89662ff31c1.jpg...\n", "Copying gs://detectmysetup/train/9988fc2b1ee87f29.jpg...\n", "Copying gs://detectmysetup/train/999bd196bc5f68d5.jpg...\n", "Copying gs://detectmysetup/train/99a00e7701a28ee5.jpg...\n", "Copying gs://detectmysetup/train/99aa0b1430f40fee.jpg...\n", "Copying gs://detectmysetup/train/99ce93ee913a78e6.jpg...\n", "Copying gs://detectmysetup/train/99dc214fe66b902a.jpg...\n", "Copying gs://detectmysetup/train/99ddbc0ded0bb7dd.jpg...\n", "Copying gs://detectmysetup/train/99e1189fb9150f80.jpg...\n", "Copying gs://detectmysetup/train/99f2f589394206be.jpg...\n", "Copying gs://detectmysetup/train/9a0e7c2d16640266.jpg...\n", "Copying gs://detectmysetup/train/9a112328d1f690f5.jpg...\n", "Copying gs://detectmysetup/train/9a172088cc67c9cc.jpg...\n", "Copying gs://detectmysetup/train/9a24b380c0c30da9.jpg...\n", "Copying gs://detectmysetup/train/9a34e97c4b556d38.jpg...\n", "Copying gs://detectmysetup/train/9a364b383d70a910.jpg...\n", "Copying gs://detectmysetup/train/9a4ea3d487960910.jpg...\n", "Copying gs://detectmysetup/train/9a5169817c77733c.jpg...\n", "Copying gs://detectmysetup/train/9a5739c197286f15.jpg...\n", "Copying gs://detectmysetup/train/9a5ea342adfac1ea.jpg...\n", "Copying gs://detectmysetup/train/9a7087a5e45bcd7d.jpg...\n", "Copying gs://detectmysetup/train/9a7b002d59732a79.jpg...\n", "Copying gs://detectmysetup/train/9a93bbe7976e3a87.jpg...\n", "Copying gs://detectmysetup/train/9a86f5e67cda3e4c.jpg...\n", "Copying gs://detectmysetup/train/9a8c59609376dc47.jpg...\n", "Copying gs://detectmysetup/train/9a9931fbb40ab122.jpg...\n", "Copying gs://detectmysetup/train/9a965a800605fa00.jpg...\n", "Copying gs://detectmysetup/train/9ab32ed53286b73e.jpg...\n", "Copying gs://detectmysetup/train/9ab66c556187805e.jpg...\n", "Copying gs://detectmysetup/train/9ab8e4591409ce39.jpg...\n", "Copying gs://detectmysetup/train/9ac180fe5ad5504d.jpg...\n", "Copying gs://detectmysetup/train/9ac569468ccff8e3.jpg...\n", "Copying gs://detectmysetup/train/9acac3835a776064.jpg...\n", "Copying gs://detectmysetup/train/9ae6920054b3d448.jpg...\n", "Copying gs://detectmysetup/train/9af23e3ab63303ec.jpg...\n", "Copying gs://detectmysetup/train/9afe8130961a1aca.jpg...\n", "Copying gs://detectmysetup/train/9aff395c710e2f21.jpg...\n", "Copying gs://detectmysetup/train/9b031924d17fc0d4.jpg...\n", "Copying gs://detectmysetup/train/9b095d163bf13235.jpg...\n", "Copying gs://detectmysetup/train/9b0bd7db89b4a8c5.jpg...\n", "Copying gs://detectmysetup/train/9b354ffc53f72247.jpg...\n", "Copying gs://detectmysetup/train/9b24420d9237c5d8.jpg...\n", "Copying gs://detectmysetup/train/9b5e9ef4297e91af.jpg...\n", "Copying gs://detectmysetup/train/9b1c49c46f807507.jpg...\n", "Copying gs://detectmysetup/train/9b9e8d89355faa68.jpg...\n", "Copying gs://detectmysetup/train/9ba4ff0a123f4128.jpg...\n", "Copying gs://detectmysetup/train/9bafaf86001003ca.jpg...\n", "Copying gs://detectmysetup/train/9bb55e6055ed1e22.jpg...\n", "Copying gs://detectmysetup/train/9bb7ef238fc25547.jpg...\n", "Copying gs://detectmysetup/train/9bc14883e63682e6.jpg...\n", "Copying gs://detectmysetup/train/9bc7f28117fe9d62.jpg...\n", "Copying gs://detectmysetup/train/9be39b06ce60af0e.jpg...\n", "Copying gs://detectmysetup/train/9bea3e9001536fee.jpg...\n", "Copying gs://detectmysetup/train/9c1f0c98d8d80218.jpg...\n", "Copying gs://detectmysetup/train/9c2c91286f5c63b7.jpg...\n", "Copying gs://detectmysetup/train/9c245be5f043bd42.jpg...\n", "Copying gs://detectmysetup/train/9c4197d4bd2b859e.jpg...\n", "Copying gs://detectmysetup/train/9c2f5eec0f57de6e.jpg...\n", "Copying gs://detectmysetup/train/9c48920abb028e77.jpg...\n", "Copying gs://detectmysetup/train/9cc0d3a9e9bdd1bc.jpg...\n", "Copying gs://detectmysetup/train/9c812c5a27b9f4b4.jpg...\n", "Copying gs://detectmysetup/train/9ccbe56732745fc0.jpg...\n", "Copying gs://detectmysetup/train/9cd59cd988d98d01.jpg...\n", "Copying gs://detectmysetup/train/9cd7b670b50d8d11.jpg...\n", "Copying gs://detectmysetup/train/9cd8c208797ce056.jpg...\n", "Copying gs://detectmysetup/train/9cf0d58b5c191eef.jpg...\n", "Copying gs://detectmysetup/train/9d19a4818d08fb14.jpg...\n", "Copying gs://detectmysetup/train/9cf4b690632135e8.jpg...\n", "Copying gs://detectmysetup/train/9d1cfb2343419c7d.jpg...\n", "Copying gs://detectmysetup/train/9d51cb67d2306058.jpg...\n", "Copying gs://detectmysetup/train/9d6f6f8016298fae.jpg...\n", "Copying gs://detectmysetup/train/9d7b06a2bb05e48a.jpg...\n", "Copying gs://detectmysetup/train/9d835f767ff70d80.jpg...\n", "Copying gs://detectmysetup/train/9d8f13cd935762c4.jpg...\n", "Copying gs://detectmysetup/train/9da9803103ac69b8.jpg...\n", "Copying gs://detectmysetup/train/9dcf3f0afa5a12c0.jpg...\n", "Copying gs://detectmysetup/train/9d8f2677fd6ac9de.jpg...\n", "Copying gs://detectmysetup/train/9dde072353fceeaa.jpg...\n", "Copying gs://detectmysetup/train/9dd1171478d31e53.jpg...\n", "Copying gs://detectmysetup/train/9decc5f6b1223323.jpg...\n", "Copying gs://detectmysetup/train/9df6760231b4c9dd.jpg...\n", "Copying gs://detectmysetup/train/9df75a294280acbb.jpg...\n", "Copying gs://detectmysetup/train/9e4fb4ab68eb3d0a.jpg...\n", "Copying gs://detectmysetup/train/9e072c2da9220d18.jpg...\n", "Copying gs://detectmysetup/train/9e5ab4759e9025c5.jpg...\n", "Copying gs://detectmysetup/train/9e5b59198e0c5f82.jpg...\n", "Copying gs://detectmysetup/train/9e7ba149a1d32cb5.jpg...\n", "Copying gs://detectmysetup/train/9e9cc62eeb58d4b8.jpg...\n", "Copying gs://detectmysetup/train/9e6757a74dd68089.jpg...\n", "Copying gs://detectmysetup/train/9eaca302f1e5e294.jpg...\n", "Copying gs://detectmysetup/train/9eafae763a00a798.jpg...\n", "Copying gs://detectmysetup/train/9eb5e4b1b3555492.jpg...\n", "Copying gs://detectmysetup/train/9ec9ea7b3919c30c.jpg...\n", "Copying gs://detectmysetup/train/9ecf0e18bbceaaec.jpg...\n", "Copying gs://detectmysetup/train/9ec9bd7896c3d60e.jpg...\n", "Copying gs://detectmysetup/train/9eeb1e7442bf6d0f.jpg...\n", "Copying gs://detectmysetup/train/9eff41a44535c364.jpg...\n", "Copying gs://detectmysetup/train/9efb8f052c435096.jpg...\n", "Copying gs://detectmysetup/train/9f11a927cc722bd6.jpg...\n", "Copying gs://detectmysetup/train/9f2736f1b7b21496.jpg...\n", "Copying gs://detectmysetup/train/9f436719db4fef4c.jpg...\n", "Copying gs://detectmysetup/train/9f4d2195917dec47.jpg...\n", "Copying gs://detectmysetup/train/9f61c77e47469dcf.jpg...\n", "Copying gs://detectmysetup/train/9f8e12a0fe49d78c.jpg...\n", "Copying gs://detectmysetup/train/9fa197c3e59649ac.jpg...\n", "Copying gs://detectmysetup/train/9f98a1ac686aabae.jpg...\n", "Copying gs://detectmysetup/train/a0039b9c0e9e26d3.jpg...\n", "Copying gs://detectmysetup/train/a013f6fadc7696aa.jpg...\n", "Copying gs://detectmysetup/train/a07f693b82bcf6c6.jpg...\n", "Copying gs://detectmysetup/train/a081bdb9616bbfe7.jpg...\n", "Copying gs://detectmysetup/train/a08203539137821f.jpg...\n", "Copying gs://detectmysetup/train/a084bca1ab8e683d.jpg...\n", "Copying gs://detectmysetup/train/a083e8e1ee0827cd.jpg...\n", "Copying gs://detectmysetup/train/a08b8a01a70e06cd.jpg...\n", "Copying gs://detectmysetup/train/a0ab9015eac75b3a.jpg...\n", "Copying gs://detectmysetup/train/a0c14948086a48ba.jpg...\n", "Copying gs://detectmysetup/train/a0ce4a23bd1d44c1.jpg...\n", "Copying gs://detectmysetup/train/a0df09a2076f8771.jpg...\n", "Copying gs://detectmysetup/train/a0f37dd0d2d60ca8.jpg...\n", "Copying gs://detectmysetup/train/a0f500b02526e950.jpg...\n", "Copying gs://detectmysetup/train/a129823995aeecea.jpg...\n", "Copying gs://detectmysetup/train/a12cbeacad90c971.jpg...\n", "Copying gs://detectmysetup/train/a1300133a63ea098.jpg...\n", "Copying gs://detectmysetup/train/a134f7e45d77c488.jpg...\n", "Copying gs://detectmysetup/train/a166be5f557090ec.jpg...\n", "Copying gs://detectmysetup/train/a17876f9b5f70a6d.jpg...\n", "Copying gs://detectmysetup/train/a19538f034d8fef0.jpg...\n", "Copying gs://detectmysetup/train/a1a336cdc94be50f.jpg...\n", "Copying gs://detectmysetup/train/a1aa589cdb80237e.jpg...\n", "Copying gs://detectmysetup/train/a1b7fdb5b1615b69.jpg...\n", "Copying gs://detectmysetup/train/a1bc3022b5f753a7.jpg...\n", "Copying gs://detectmysetup/train/a1ce0d51992fdcd3.jpg...\n", "Copying gs://detectmysetup/train/a1e7b1c2b478c104.jpg...\n", "Copying gs://detectmysetup/train/a1f81a531ac79717.jpg...\n", "Copying gs://detectmysetup/train/a20e625e8261b016.jpg...\n", "Copying gs://detectmysetup/train/a2148899942634e7.jpg...\n", "Copying gs://detectmysetup/train/a21a38828a9d3b39.jpg...\n", "Copying gs://detectmysetup/train/a248afbeb5e27a66.jpg...\n", "Copying gs://detectmysetup/train/a25a94cdf70a2d2c.jpg...\n", "Copying gs://detectmysetup/train/a25cd29162096033.jpg...\n", "Copying gs://detectmysetup/train/a25e202b5285fdb5.jpg...\n", "Copying gs://detectmysetup/train/a25fc4ac765bde07.jpg...\n", "Copying gs://detectmysetup/train/a27d116a7fd877e6.jpg...\n", "Copying gs://detectmysetup/train/a272432ac7a39b97.jpg...\n", "Copying gs://detectmysetup/train/a28b96282c198433.jpg...\n", "Copying gs://detectmysetup/train/a2e1249a781d600a.jpg...\n", "Copying gs://detectmysetup/train/a289add991bf8b1a.jpg...\n", "Copying gs://detectmysetup/train/a2e3af4f45dd1061.jpg...\n", "Copying gs://detectmysetup/train/a30851bfa43f79e5.jpg...\n", "Copying gs://detectmysetup/train/a31841c423a329d8.jpg...\n", "Copying gs://detectmysetup/train/a31ced17de444d58.jpg...\n", "Copying gs://detectmysetup/train/a31e7001ac7ae445.jpg...\n", "Copying gs://detectmysetup/train/a31fee098c251eda.jpg...\n", "Copying gs://detectmysetup/train/a32ee7780d5965a8.jpg...\n", "Copying gs://detectmysetup/train/a3381077de807443.jpg...\n", "Copying gs://detectmysetup/train/a342912ade9e1858.jpg...\n", "Copying gs://detectmysetup/train/a34875129f038d54.jpg...\n", "Copying gs://detectmysetup/train/a364424b0badd38d.jpg...\n", "Copying gs://detectmysetup/train/a36fd78c0acae88a.jpg...\n", "Copying gs://detectmysetup/train/a37cbf772ed77031.jpg...\n", "Copying gs://detectmysetup/train/a38e7d74930d45e8.jpg...\n", "Copying gs://detectmysetup/train/a39d5117f4fd9816.jpg...\n", "Copying gs://detectmysetup/train/a3b24b970627fa2c.jpg...\n", "Copying gs://detectmysetup/train/a3b393e4bc80a466.jpg...\n", "Copying gs://detectmysetup/train/a3ba95742b5a35c5.jpg...\n", "Copying gs://detectmysetup/train/a3d5e03b45b470eb.jpg...\n", "Copying gs://detectmysetup/train/a3f1fe4ebd510d4e.jpg...\n", "Copying gs://detectmysetup/train/a3fa74ca9f153026.jpg...\n", "Copying gs://detectmysetup/train/a41075dc34ab29ce.jpg...\n", "Copying gs://detectmysetup/train/a4188d49611a0bf1.jpg...\n", "Copying gs://detectmysetup/train/a421c074447219cd.jpg...\n", "Copying gs://detectmysetup/train/a435536ead8c3b4f.jpg...\n", "Copying gs://detectmysetup/train/a4375946ca6043dd.jpg...\n", "Copying gs://detectmysetup/train/a44034cae8cf3ffd.jpg...\n", "Copying gs://detectmysetup/train/a445e4b44998cb08.jpg...\n", "Copying gs://detectmysetup/train/a458f3bd2d205ae1.jpg...\n", "Copying gs://detectmysetup/train/a466342d2a832357.jpg...\n", "Copying gs://detectmysetup/train/a4693a76ff50ad28.jpg...\n", "Copying gs://detectmysetup/train/a46f5a8018bb73b3.jpg...\n", "Copying gs://detectmysetup/train/a49841b56c13dd5b.jpg...\n", "Copying gs://detectmysetup/train/a49a0c899a553533.jpg...\n", "Copying gs://detectmysetup/train/a49e81d0037d8b51.jpg...\n", "Copying gs://detectmysetup/train/a49fe69e9807e05f.jpg...\n", "Copying gs://detectmysetup/train/a4c314e080b31ce8.jpg...\n", "Copying gs://detectmysetup/train/a4cbc557c522423b.jpg...\n", "Copying gs://detectmysetup/train/a4d66063d1596dc4.jpg...\n", "Copying gs://detectmysetup/train/a4e05ffaf809ad14.jpg...\n", "Copying gs://detectmysetup/train/a540da815f18d273.jpg...\n", "Copying gs://detectmysetup/train/a4ec6cd0d0eff05e.jpg...\n", "Copying gs://detectmysetup/train/a4e2a69be022e5b3.jpg...\n", "Copying gs://detectmysetup/train/a4f5276accb5a560.jpg...\n", "Copying gs://detectmysetup/train/a5059583b0d77de4.jpg...\n", "Copying gs://detectmysetup/train/a5552e9c24024449.jpg...\n", "Copying gs://detectmysetup/train/a5583d12dc1be511.jpg...\n", "Copying gs://detectmysetup/train/a56205c868630518.jpg...\n", "Copying gs://detectmysetup/train/a53d124b253839c2.jpg...\n", "Copying gs://detectmysetup/train/a562877559d29fee.jpg...\n", "Copying gs://detectmysetup/train/a56dfca13b80bda4.jpg...\n", "Copying gs://detectmysetup/train/a585ba3bc9694cd4.jpg...\n", "Copying gs://detectmysetup/train/a5926fb0d8ff2a68.jpg...\n", "Copying gs://detectmysetup/train/a597c53ca1d0bc7b.jpg...\n", "Copying gs://detectmysetup/train/a5a53915ebf9aad1.jpg...\n", "Copying gs://detectmysetup/train/a5c157c8962bf7e6.jpg...\n", "Copying gs://detectmysetup/train/a5cf3c487974628d.jpg...\n", "Copying gs://detectmysetup/train/a5d557e730f94553.jpg...\n", "Copying gs://detectmysetup/train/a5fc24289e45b3ee.jpg...\n", "Copying gs://detectmysetup/train/a5fef7c1f90b9bc9.jpg...\n", "Copying gs://detectmysetup/train/a6006dc3ed4af52e.jpg...\n", "Copying gs://detectmysetup/train/a6083ff700e82ffe.jpg...\n", "Copying gs://detectmysetup/train/a616fa4648d67b90.jpg...\n", "Copying gs://detectmysetup/train/a619328e89d95a47.jpg...\n", "Copying gs://detectmysetup/train/a6452ec1fc0b32f5.jpg...\n", "Copying gs://detectmysetup/train/a642f2faaea46f45.jpg...\n", "Copying gs://detectmysetup/train/a64a3048664bd106.jpg...\n", "Copying gs://detectmysetup/train/a6784561f779474f.jpg...\n", "Copying gs://detectmysetup/train/a68c675e0021ca2e.jpg...\n", "Copying gs://detectmysetup/train/a68f7bb452d57960.jpg...\n", "Copying gs://detectmysetup/train/a6979ea70785c884.jpg...\n", "Copying gs://detectmysetup/train/a6a2ac4cd0135f00.jpg...\n", "Copying gs://detectmysetup/train/a6b4eedaaae0a685.jpg...\n", "Copying gs://detectmysetup/train/a6d7c3799fbe7ee4.jpg...\n", "Copying gs://detectmysetup/train/a6e261ca58a24237.jpg...\n", "Copying gs://detectmysetup/train/a6e827abd904aa28.jpg...\n", "Copying gs://detectmysetup/train/a6edd0b8d042b487.jpg...\n", "Copying gs://detectmysetup/train/a6f2e14f97290078.jpg...\n", "Copying gs://detectmysetup/train/a6ff22e4685444f9.jpg...\n", "Copying gs://detectmysetup/train/a7137c18ba5029e1.jpg...\n", "Copying gs://detectmysetup/train/a728ade6fcdba3e7.jpg...\n", "Copying gs://detectmysetup/train/a72e7a347925b738.jpg...\n", "Copying gs://detectmysetup/train/a75364667268c22a.jpg...\n", "Copying gs://detectmysetup/train/a78471c6971d2db1.jpg...\n", "Copying gs://detectmysetup/train/a76302b2eb0a8332.jpg...\n", "Copying gs://detectmysetup/train/a791ff00b3be649d.jpg...\n", "Copying gs://detectmysetup/train/a7a90c8158c18917.jpg...\n", "Copying gs://detectmysetup/train/a7c48f99d4f8c7e2.jpg...\n", "Copying gs://detectmysetup/train/a796462bc822bd5e.jpg...\n", "Copying gs://detectmysetup/train/a7c6fe2e1f6b1e20.jpg...\n", "Copying gs://detectmysetup/train/a7eef3c1ce26edb0.jpg...\n", "Copying gs://detectmysetup/train/a7fb8be323022177.jpg...\n", "Copying gs://detectmysetup/train/a804228bed13d565.jpg...\n", "Copying gs://detectmysetup/train/a813649b0e189c18.jpg...\n", "Copying gs://detectmysetup/train/a8177248f619df6f.jpg...\n", "Copying gs://detectmysetup/train/a81d2a8387c25fb0.jpg...\n", "Copying gs://detectmysetup/train/a831beb7f253a555.jpg...\n", "Copying gs://detectmysetup/train/a843f6e014e52bc6.jpg...\n", "Copying gs://detectmysetup/train/a8595bf66a1e4705.jpg...\n", "Copying gs://detectmysetup/train/a86c1331a13838ac.jpg...\n", "Copying gs://detectmysetup/train/a8879706631f1bce.jpg...\n", "Copying gs://detectmysetup/train/a8968eefd4945032.jpg...\n", "Copying gs://detectmysetup/train/a8aa944d8e277710.jpg...\n", "Copying gs://detectmysetup/train/a8c4027669a05f0d.jpg...\n", "Copying gs://detectmysetup/train/a8f04ecb9b5e1f7a.jpg...\n", "Copying gs://detectmysetup/train/a91e2481f7b74419.jpg...\n", "Copying gs://detectmysetup/train/a93688c0da5839bb.jpg...\n", "Copying gs://detectmysetup/train/a949c60652e6502f.jpg...\n", "Copying gs://detectmysetup/train/a94f50b3ba8ee9e6.jpg...\n", "Copying gs://detectmysetup/train/a9636852dd1408cb.jpg...\n", "Copying gs://detectmysetup/train/a96cacb82099e319.jpg...\n", "Copying gs://detectmysetup/train/a96dfee2083fe618.jpg...\n", "Copying gs://detectmysetup/train/a97ee099c6f7dbfb.jpg...\n", "Copying gs://detectmysetup/train/a98a42a3fbdb363d.jpg...\n", "Copying gs://detectmysetup/train/a9b994daaa2f1f6c.jpg...\n", "Copying gs://detectmysetup/train/a9bc260ddb4ea697.jpg...\n", "Copying gs://detectmysetup/train/a9d6a20f3cf69fb5.jpg...\n", "Copying gs://detectmysetup/train/a9dd331687812aa3.jpg...\n", "Copying gs://detectmysetup/train/a9df001e82415361.jpg...\n", "Copying gs://detectmysetup/train/a9e577ffdfd821c6.jpg...\n", "Copying gs://detectmysetup/train/a9e589d393313fa5.jpg...\n", "Copying gs://detectmysetup/train/a9f08e8575195ea4.jpg...\n", "Copying gs://detectmysetup/train/a9faca0462be5d57.jpg...\n", "Copying gs://detectmysetup/train/aa00d96cb29fc83d.jpg...\n", "Copying gs://detectmysetup/train/aa1462d310e66407.jpg...\n", "Copying gs://detectmysetup/train/aa1f40801e45d06a.jpg...\n", "Copying gs://detectmysetup/train/aa1f78b50285c71a.jpg...\n", "Copying gs://detectmysetup/train/aa25039b64c4d871.jpg...\n", "Copying gs://detectmysetup/train/aa432f7aa6d2fc26.jpg...\n", "Copying gs://detectmysetup/train/aa6a0cd72e9f7896.jpg...\n", "Copying gs://detectmysetup/train/aa7a30c33483bf04.jpg...\n", "Copying gs://detectmysetup/train/aa96b0a0359a803f.jpg...\n", "Copying gs://detectmysetup/train/aa9f0185b841122a.jpg...\n", "Copying gs://detectmysetup/train/aa9ff082e2f2ec89.jpg...\n", "Copying gs://detectmysetup/train/aab9a9e43e68f4c1.jpg...\n", "Copying gs://detectmysetup/train/aae2b6178849d508.jpg...\n", "Copying gs://detectmysetup/train/aac3b8c363d1a900.jpg...\n", "Copying gs://detectmysetup/train/aaef38629ef16892.jpg...\n", "Copying gs://detectmysetup/train/aafb285e99984f62.jpg...\n", "Copying gs://detectmysetup/train/aafe627af41d611b.jpg...\n", "Copying gs://detectmysetup/train/ab00a86f1d152f1d.jpg...\n", "Copying gs://detectmysetup/train/ab12f6cbed6ea77b.jpg...\n", "Copying gs://detectmysetup/train/ab2096860dda3dda.jpg...\n", "Copying gs://detectmysetup/train/ab2799a19162e648.jpg...\n", "Copying gs://detectmysetup/train/ab380df4cd27de70.jpg...\n", "Copying gs://detectmysetup/train/ab3a83ad21d5ba04.jpg...\n", "Copying gs://detectmysetup/train/ab3b28c7f7577d9c.jpg...\n", "Copying gs://detectmysetup/train/ab40363a905ec055.jpg...\n", "Copying gs://detectmysetup/train/ab4008b2dc6ddf5d.jpg...\n", "Copying gs://detectmysetup/train/ab579ae12d962a64.jpg...\n", "Copying gs://detectmysetup/train/ab5fcf6e5494de99.jpg...\n", "Copying gs://detectmysetup/train/ab6e3d8b3f06a470.jpg...\n", "Copying gs://detectmysetup/train/ab6630b7b208f8d2.jpg...\n", "Copying gs://detectmysetup/train/ab71a8107b113543.jpg...\n", "Copying gs://detectmysetup/train/ab773589b4a5b125.jpg...\n", "Copying gs://detectmysetup/train/ab8bb23e54e22f0d.jpg...\n", "Copying gs://detectmysetup/train/ab93a59f931ee805.jpg...\n", "Copying gs://detectmysetup/train/ab94622450c9af06.jpg...\n", "Copying gs://detectmysetup/train/ab96d8bf4ae1361b.jpg...\n", "Copying gs://detectmysetup/train/abaab3cfc4f4bc57.jpg...\n", "Copying gs://detectmysetup/train/abdc97bdca5b132c.jpg...\n", "Copying gs://detectmysetup/train/abe902d7369b99e9.jpg...\n", "Copying gs://detectmysetup/train/abff7a10c0e23564.jpg...\n", "Copying gs://detectmysetup/train/ac28160fec1dc675.jpg...\n", "Copying gs://detectmysetup/train/ac2be56b2e28aac5.jpg...\n", "Copying gs://detectmysetup/train/ac415282d95c12db.jpg...\n", "Copying gs://detectmysetup/train/ac451d69c1f7291c.jpg...\n", "Copying gs://detectmysetup/train/ac5fdc8fed8807d4.jpg...\n", "Copying gs://detectmysetup/train/ac61156305885954.jpg...\n", "Copying gs://detectmysetup/train/ac97c1c675a632c1.jpg...\n", "Copying gs://detectmysetup/train/ac9f9f9ec1a14805.jpg...\n", "Copying gs://detectmysetup/train/acc1df418be909a1.jpg...\n", "Copying gs://detectmysetup/train/acc75c9d1e1e572c.jpg...\n", "Copying gs://detectmysetup/train/acd371698cf9e896.jpg...\n", "Copying gs://detectmysetup/train/acd7b3da5b859ee3.jpg...\n", "Copying gs://detectmysetup/train/acdc6440ce9f9bb2.jpg...\n", "Copying gs://detectmysetup/train/acffb1b8546bb720.jpg...\n", "Copying gs://detectmysetup/train/ad04092ebf25aff5.jpg...\n", "Copying gs://detectmysetup/train/ad1305eb75832174.jpg...\n", "Copying gs://detectmysetup/train/ad165f93d61c908c.jpg...\n", "Copying gs://detectmysetup/train/ad228b19684a3309.jpg...\n", "Copying gs://detectmysetup/train/ad29f23599b18a69.jpg...\n", "Copying gs://detectmysetup/train/ad30241a06bd6d70.jpg...\n", "Copying gs://detectmysetup/train/ad3b3e8eed1a38f5.jpg...\n", "Copying gs://detectmysetup/train/ad6780d9366f04be.jpg...\n", "Copying gs://detectmysetup/train/ad524697c9ff673d.jpg...\n", "Copying gs://detectmysetup/train/ad8290ea6a6c4d9d.jpg...\n", "Copying gs://detectmysetup/train/ad82f5a67035daa9.jpg...\n", "Copying gs://detectmysetup/train/ad8da4e6782e816a.jpg...\n", "Copying gs://detectmysetup/train/ad9ac2aa6534c3bd.jpg...\n", "Copying gs://detectmysetup/train/ad9b3a19a3363a02.jpg...\n", "Copying gs://detectmysetup/train/adb54feb7fc92ed7.jpg...\n", "Copying gs://detectmysetup/train/ade0d84eb89e2e21.jpg...\n", "Copying gs://detectmysetup/train/ae006e44e3ce7b84.jpg...\n", "Copying gs://detectmysetup/train/adeae94a3b713a99.jpg...\n", "Copying gs://detectmysetup/train/ae030c4dd6dac5ea.jpg...\n", "Copying gs://detectmysetup/train/ae0c20f5ca938ad4.jpg...\n", "Copying gs://detectmysetup/train/ae23908531f8ef1a.jpg...\n", "Copying gs://detectmysetup/train/ae26186cf2193465.jpg...\n", "Copying gs://detectmysetup/train/ae2faff1998196dc.jpg...\n", "Copying gs://detectmysetup/train/ae396126927220e8.jpg...\n", "Copying gs://detectmysetup/train/ae3ccb645479f124.jpg...\n", "Copying gs://detectmysetup/train/ae687585533ca91d.jpg...\n", "Copying gs://detectmysetup/train/ae6a14298a6d59ca.jpg...\n", "Copying gs://detectmysetup/train/ae6b91507810a12b.jpg...\n", "Copying gs://detectmysetup/train/ae9931c17d0a74d6.jpg...\n", "Copying gs://detectmysetup/train/ae99b8a4df066376.jpg...\n", "Copying gs://detectmysetup/train/ae9e0c2db1271db1.jpg...\n", "Copying gs://detectmysetup/train/aeab69573a722deb.jpg...\n", "Copying gs://detectmysetup/train/aeaf897d07baedf6.jpg...\n", "Copying gs://detectmysetup/train/aeb198fd1d4eb128.jpg...\n", "Copying gs://detectmysetup/train/aebc3de2b9ed92f7.jpg...\n", "Copying gs://detectmysetup/train/aec7553d9693adac.jpg...\n", "Copying gs://detectmysetup/train/aed21d69f48bccb5.jpg...\n", "Copying gs://detectmysetup/train/aeeabc69cd73fc68.jpg...\n", "Copying gs://detectmysetup/train/aef987ed9d41b11d.jpg...\n", "Copying gs://detectmysetup/train/af00f98d3d80b96d.jpg...\n", "Copying gs://detectmysetup/train/af037187586f050f.jpg...\n", "Copying gs://detectmysetup/train/af0255a8dd8088f7.jpg...\n", "Copying gs://detectmysetup/train/af05c83b3390d0d6.jpg...\n", "Copying gs://detectmysetup/train/af12c9879c88c076.jpg...\n", "Copying gs://detectmysetup/train/af2b2ce666861678.jpg...\n", "Copying gs://detectmysetup/train/af2be3d38584fb78.jpg...\n", "Copying gs://detectmysetup/train/af31b9a80fec5aef.jpg...\n", "Copying gs://detectmysetup/train/af70ee5850867060.jpg...\n", "Copying gs://detectmysetup/train/af47a4283f369153.jpg...\n", "Copying gs://detectmysetup/train/af765e2aee6fc1ce.jpg...\n", "Copying gs://detectmysetup/train/af778c144a599c27.jpg...\n", "Copying gs://detectmysetup/train/af81c9a9475902e8.jpg...\n", "Copying gs://detectmysetup/train/afacd59fa9b10f57.jpg...\n", "Copying gs://detectmysetup/train/afc7a69f246d02d8.jpg...\n", "Copying gs://detectmysetup/train/afcbacab1b03b851.jpg...\n", "Copying gs://detectmysetup/train/afd106af9eee2b58.jpg...\n", "Copying gs://detectmysetup/train/afd6ca6b199158a1.jpg...\n", "Copying gs://detectmysetup/train/afd898dc0df71f9a.jpg...\n", "Copying gs://detectmysetup/train/afecaab5c0663f57.jpg...\n", "Copying gs://detectmysetup/train/aff8c0f8613aa567.jpg...\n", "Copying gs://detectmysetup/train/b00e326effb20842.jpg...\n", "Copying gs://detectmysetup/train/b011eca7c90c62e6.jpg...\n", "Copying gs://detectmysetup/train/b027f9746d980500.jpg...\n", "Copying gs://detectmysetup/train/b03ed83a57b25d37.jpg...\n", "Copying gs://detectmysetup/train/b04945eabccaaedf.jpg...\n", "Copying gs://detectmysetup/train/b06534f4956766d7.jpg...\n", "Copying gs://detectmysetup/train/b090f8fcbf1de9bd.jpg...\n", "Copying gs://detectmysetup/train/b0a32da9d3509f4c.jpg...\n", "Copying gs://detectmysetup/train/b0a5c87f1a01b8c2.jpg...\n", "Copying gs://detectmysetup/train/b0d3a5b74f82f466.jpg...\n", "Copying gs://detectmysetup/train/b0e4140975b93bc3.jpg...\n", "Copying gs://detectmysetup/train/b0bf1fb763fa7ac9.jpg...\n", "Copying gs://detectmysetup/train/b0ed683107bd066d.jpg...\n", "Copying gs://detectmysetup/train/b0f1545cead2e5b0.jpg...\n", "Copying gs://detectmysetup/train/b0f325b4bf67474c.jpg...\n", "Copying gs://detectmysetup/train/b0fd982cabfca16b.jpg...\n", "Copying gs://detectmysetup/train/b0feb2ed6f3e7388.jpg...\n", "Copying gs://detectmysetup/train/b0ff7818c2d9b462.jpg...\n", "Copying gs://detectmysetup/train/b0ffb25dbc1df4be.jpg...\n", "Copying gs://detectmysetup/train/b115f7bb40e6e1ef.jpg...\n", "Copying gs://detectmysetup/train/b11e184ba3bc62e1.jpg...\n", "Copying gs://detectmysetup/train/b1200380b77f4f7b.jpg...\n", "Copying gs://detectmysetup/train/b142b56146179b19.jpg...\n", "Copying gs://detectmysetup/train/b1241cfd92d75be3.jpg...\n", "Copying gs://detectmysetup/train/b16e64ed304d75ee.jpg...\n", "Copying gs://detectmysetup/train/b187836dfe770ca9.jpg...\n", "Copying gs://detectmysetup/train/b1637a6b55c86cea.jpg...\n", "Copying gs://detectmysetup/train/b1acfd4ff9cf407e.jpg...\n", "Copying gs://detectmysetup/train/b1b37515a2702b51.jpg...\n", "Copying gs://detectmysetup/train/b1cff93dc3179ee0.jpg...\n", "Copying gs://detectmysetup/train/b1ece3e29aa99518.jpg...\n", "Copying gs://detectmysetup/train/b1f68a6c6f83c484.jpg...\n", "Copying gs://detectmysetup/train/b1fa295e8e11b04a.jpg...\n", "Copying gs://detectmysetup/train/b21149cbbaf6bb4e.jpg...\n", "Copying gs://detectmysetup/train/b235679d7af96367.jpg...\n", "Copying gs://detectmysetup/train/b240617369f6fdf4.jpg...\n", "Copying gs://detectmysetup/train/b274639ea84acb0a.jpg...\n", "Copying gs://detectmysetup/train/b291e4fcae1d3c92.jpg...\n", "Copying gs://detectmysetup/train/b26fa61754e35f17.jpg...\n", "Copying gs://detectmysetup/train/b29f717a4038357e.jpg...\n", "Copying gs://detectmysetup/train/b2ac12092dac7256.jpg...\n", "Copying gs://detectmysetup/train/b2b683614cf45fc1.jpg...\n", "Copying gs://detectmysetup/train/b2bfca238ea7e2e6.jpg...\n", "Copying gs://detectmysetup/train/b2e9ac6a3cd8dd43.jpg...\n", "Copying gs://detectmysetup/train/b300eb2c2d86c247.jpg...\n", "Copying gs://detectmysetup/train/b2efb849cc21fa87.jpg...\n", "Copying gs://detectmysetup/train/b311f7be63e54b63.jpg...\n", "Copying gs://detectmysetup/train/b317eec7b4b643fd.jpg...\n", "Copying gs://detectmysetup/train/b32b1aa2b32a4a4b.jpg...\n", "Copying gs://detectmysetup/train/b340d2b53812b321.jpg...\n", "Copying gs://detectmysetup/train/b360dbd07be477be.jpg...\n", "Copying gs://detectmysetup/train/b351b704a119625b.jpg...\n", "Copying gs://detectmysetup/train/b373a3f2e011bbb5.jpg...\n", "Copying gs://detectmysetup/train/b388a58ef976a589.jpg...\n", "Copying gs://detectmysetup/train/b3a97bb9cef77c1d.jpg...\n", "Copying gs://detectmysetup/train/b3b8145acccb5f59.jpg...\n", "Copying gs://detectmysetup/train/b3c94f95e015d94c.jpg...\n", "Copying gs://detectmysetup/train/b3bbaf8fe77a7564.jpg...\n", "Copying gs://detectmysetup/train/b3deb4738980aa2f.jpg...\n", "Copying gs://detectmysetup/train/b3e510087760f6a0.jpg...\n", "Copying gs://detectmysetup/train/b469f0f9244cad7e.jpg...\n", "Copying gs://detectmysetup/train/b4870635e04423e4.jpg...\n", "Copying gs://detectmysetup/train/b4901e7075e650ff.jpg...\n", "Copying gs://detectmysetup/train/b4a82e782c9cab56.jpg...\n", "Copying gs://detectmysetup/train/b4b586d4b8b74031.jpg...\n", "Copying gs://detectmysetup/train/b4c365b6c392ae28.jpg...\n", "Copying gs://detectmysetup/train/b4d09c5b8add5c7d.jpg...\n", "Copying gs://detectmysetup/train/b4e173fd8703b643.jpg...\n", "Copying gs://detectmysetup/train/b4e5c7ef7bac73a0.jpg...\n", "Copying gs://detectmysetup/train/b4ee4d97d5a94ae0.jpg...\n", "Copying gs://detectmysetup/train/b4f191c520a055db.jpg...\n", "Copying gs://detectmysetup/train/b4f3384ed10608ec.jpg...\n", "Copying gs://detectmysetup/train/b4fb9d5b7180f298.jpg...\n", "Copying gs://detectmysetup/train/b501faca7c60b5ea.jpg...\n", "Copying gs://detectmysetup/train/b5077bf0aed1cea2.jpg...\n", "Copying gs://detectmysetup/train/b52031a8201052b0.jpg...\n", "Copying gs://detectmysetup/train/b52cb480172bf9fe.jpg...\n", "Copying gs://detectmysetup/train/b54e18221009ac23.jpg...\n", "Copying gs://detectmysetup/train/b554003379cf4e98.jpg...\n", "Copying gs://detectmysetup/train/b54d2f1d8007f3ef.jpg...\n", "Copying gs://detectmysetup/train/b570d08460eaa55c.jpg...\n", "Copying gs://detectmysetup/train/b5a337b5a1a0b727.jpg...\n", "Copying gs://detectmysetup/train/b5a3a769522023d7.jpg...\n", "Copying gs://detectmysetup/train/b5b413e0b723592a.jpg...\n", "Copying gs://detectmysetup/train/b5c80b1afe0a8a36.jpg...\n", "Copying gs://detectmysetup/train/b5c97b5247d9840d.jpg...\n", "Copying gs://detectmysetup/train/b5d6d171d395f61c.jpg...\n", "Copying gs://detectmysetup/train/b5cc998aa83d20f4.jpg...\n", "Copying gs://detectmysetup/train/b5e3fbec62a1152d.jpg...\n", "Copying gs://detectmysetup/train/b5d4bda5e0264123.jpg...\n", "Copying gs://detectmysetup/train/b606b8b128888056.jpg...\n", "Copying gs://detectmysetup/train/b6095ea8249826a1.jpg...\n", "Copying gs://detectmysetup/train/b619bf205e9082c8.jpg...\n", "Copying gs://detectmysetup/train/b61b04c348fc279c.jpg...\n", "Copying gs://detectmysetup/train/b63af9d7b2025b00.jpg...\n", "Copying gs://detectmysetup/train/b6414125bf327ace.jpg...\n", "Copying gs://detectmysetup/train/b647db5b1814141d.jpg...\n", "Copying gs://detectmysetup/train/b64ffcd68826dc57.jpg...\n", "Copying gs://detectmysetup/train/b65891eac603539c.jpg...\n", "Copying gs://detectmysetup/train/b65d0ba255e8f66e.jpg...\n", "Copying gs://detectmysetup/train/b66a89eba3b24282.jpg...\n", "Copying gs://detectmysetup/train/b68e30c2cdd8785b.jpg...\n", "Copying gs://detectmysetup/train/b6a632b74df7f168.jpg...\n", "Copying gs://detectmysetup/train/b6bdca18e3ea66f7.jpg...\n", "Copying gs://detectmysetup/train/b6cfd49dd9d0fabf.jpg...\n", "Copying gs://detectmysetup/train/b6ed95cff1c1f330.jpg...\n", "Copying gs://detectmysetup/train/b720afe12d104c31.jpg...\n", "Copying gs://detectmysetup/train/b727e2dbb8f35110.jpg...\n", "Copying gs://detectmysetup/train/b756dcabcccec230.jpg...\n", "Copying gs://detectmysetup/train/b736644735009eb2.jpg...\n", "Copying gs://detectmysetup/train/b75afd36ca3052a0.jpg...\n", "Copying gs://detectmysetup/train/b75de5e22ed969fa.jpg...\n", "Copying gs://detectmysetup/train/b7821f0df9af713d.jpg...\n", "Copying gs://detectmysetup/train/b787c74260cebe47.jpg...\n", "Copying gs://detectmysetup/train/b793289d77fc8bdd.jpg...\n", "Copying gs://detectmysetup/train/b7a2faba820eec0e.jpg...\n", "Copying gs://detectmysetup/train/b7c3f6a263b7976f.jpg...\n", "Copying gs://detectmysetup/train/b7cab449b41c7980.jpg...\n", "Copying gs://detectmysetup/train/b8155ac95e3fee7a.jpg...\n", "Copying gs://detectmysetup/train/b7d30b849fc8f632.jpg...\n", "Copying gs://detectmysetup/train/b82421eaa5bfaea3.jpg...\n", "Copying gs://detectmysetup/train/b8352fac8f2ec57a.jpg...\n", "Copying gs://detectmysetup/train/b839e2f6cf0ed6d3.jpg...\n", "Copying gs://detectmysetup/train/b83d977bc2f70e81.jpg...\n", "Copying gs://detectmysetup/train/b85b255949488eb1.jpg...\n", "Copying gs://detectmysetup/train/b85e28eb5d16bd67.jpg...\n", "Copying gs://detectmysetup/train/b863950dbde99afc.jpg...\n", "Copying gs://detectmysetup/train/b8713bac44fdae81.jpg...\n", "Copying gs://detectmysetup/train/b895359fafd49711.jpg...\n", "Copying gs://detectmysetup/train/b8ac81715eba4d62.jpg...\n", "Copying gs://detectmysetup/train/b8bd42657360bedb.jpg...\n", "Copying gs://detectmysetup/train/b8d3d59822ee7b60.jpg...\n", "Copying gs://detectmysetup/train/b8d50271f379bcb5.jpg...\n", "Copying gs://detectmysetup/train/b8fc935ddf10d5e9.jpg...\n", "Copying gs://detectmysetup/train/b922c45723bd970a.jpg...\n", "Copying gs://detectmysetup/train/b92c5f12fceecbb1.jpg...\n", "Copying gs://detectmysetup/train/b92d61d425f8a4d0.jpg...\n", "Copying gs://detectmysetup/train/b93609c36bc6eec6.jpg...\n", "Copying gs://detectmysetup/train/b9465a726748fc1e.jpg...\n", "Copying gs://detectmysetup/train/b94f6eaf939a45ac.jpg...\n", "Copying gs://detectmysetup/train/b9508a0c0cb77fcb.jpg...\n", "Copying gs://detectmysetup/train/b97bd2a41b1bbf79.jpg...\n", "Copying gs://detectmysetup/train/b97c0294b48b3219.jpg...\n", "Copying gs://detectmysetup/train/b982b6690afbfe82.jpg...\n", "Copying gs://detectmysetup/train/b995fd81107bc80e.jpg...\n", "Copying gs://detectmysetup/train/b98ca76b3d88968d.jpg...\n", "Copying gs://detectmysetup/train/b99e377752a12484.jpg...\n", "Copying gs://detectmysetup/train/b99e67dfc0714689.jpg...\n", "Copying gs://detectmysetup/train/b9ae1d92cc4eeeff.jpg...\n", "Copying gs://detectmysetup/train/b9b02fef9b7fa126.jpg...\n", "Copying gs://detectmysetup/train/b9b5b4b678587ed7.jpg...\n", "Copying gs://detectmysetup/train/b9cad2db0a29a083.jpg...\n", "Copying gs://detectmysetup/train/b9d7914403158b8c.jpg...\n", "Copying gs://detectmysetup/train/b9f33d1fcf39319d.jpg...\n", "Copying gs://detectmysetup/train/b9fec7a2fd31c850.jpg...\n", "Copying gs://detectmysetup/train/ba053ca309f13d90.jpg...\n", "Copying gs://detectmysetup/train/ba004f53bac6d225.jpg...\n", "Copying gs://detectmysetup/train/ba23bddf12b82aed.jpg...\n", "Copying gs://detectmysetup/train/ba35e78a0ebfb407.jpg...\n", "Copying gs://detectmysetup/train/ba366f10de51eec2.jpg...\n", "Copying gs://detectmysetup/train/ba66c6660b1547de.jpg...\n", "Copying gs://detectmysetup/train/ba6b13c4ede8bcb6.jpg...\n", "Copying gs://detectmysetup/train/ba93b6caab884061.jpg...\n", "Copying gs://detectmysetup/train/ba9b08207efbb48c.jpg...\n", "Copying gs://detectmysetup/train/bab5c87128c6cccd.jpg...\n", "Copying gs://detectmysetup/train/bada269700776162.jpg...\n", "Copying gs://detectmysetup/train/bb0f6b8ea28a0c26.jpg...\n", "Copying gs://detectmysetup/train/bb17f6771894b26e.jpg...\n", "Copying gs://detectmysetup/train/bb37fee45717fc86.jpg...\n", "Copying gs://detectmysetup/train/bb1fd4dc50fc0e61.jpg...\n", "Copying gs://detectmysetup/train/bb4e1996f78f36cf.jpg...\n", "Copying gs://detectmysetup/train/bb4f17f4aac9ec1e.jpg...\n", "Copying gs://detectmysetup/train/bb521488a22e5324.jpg...\n", "Copying gs://detectmysetup/train/bb58ba8eb2c9eb8e.jpg...\n", "Copying gs://detectmysetup/train/bb59795b3eb9919b.jpg...\n", "Copying gs://detectmysetup/train/bb6847395feed2c0.jpg...\n", "Copying gs://detectmysetup/train/bb6ff3d2cf6df532.jpg...\n", "Copying gs://detectmysetup/train/bb7e6a863a6e9c0b.jpg...\n", "Copying gs://detectmysetup/train/bb7fe8c46d5c1da0.jpg...\n", "Copying gs://detectmysetup/train/bb88396798691c1d.jpg...\n", "Copying gs://detectmysetup/train/bb850ef10f500373.jpg...\n", "Copying gs://detectmysetup/train/bb8d11c244c7ab8b.jpg...\n", "Copying gs://detectmysetup/train/bb924e2bbbbc59d4.jpg...\n", "Copying gs://detectmysetup/train/bb929cced55e0039.jpg...\n", "Copying gs://detectmysetup/train/bbab8026793bfe00.jpg...\n", "Copying gs://detectmysetup/train/bbdbcc53a3a49f61.jpg...\n", "Copying gs://detectmysetup/train/bbdd0033096a6d69.jpg...\n", "Copying gs://detectmysetup/train/bbe358a60b4ce25b.jpg...\n", "Copying gs://detectmysetup/train/bc1012fc025ffc99.jpg...\n", "Copying gs://detectmysetup/train/bc019e9c1c534f78.jpg...\n", "Copying gs://detectmysetup/train/bc3873e0c9ada07c.jpg...\n", "Copying gs://detectmysetup/train/bc40a7f386a7d743.jpg...\n", "Copying gs://detectmysetup/train/bc41c503d7c06c6d.jpg...\n", "Copying gs://detectmysetup/train/bc41fda0fe2a8705.jpg...\n", "Copying gs://detectmysetup/train/bc4279524a7baa18.jpg...\n", "Copying gs://detectmysetup/train/bc4a6fc4b8b93267.jpg...\n", "Copying gs://detectmysetup/train/bc535ec72ef110af.jpg...\n", "Copying gs://detectmysetup/train/bc6a9ffc142bfd12.jpg...\n", "Copying gs://detectmysetup/train/bc666efb856f813b.jpg...\n", "Copying gs://detectmysetup/train/bc7d582662f1be7d.jpg...\n", "Copying gs://detectmysetup/train/bc8b89bd92509b82.jpg...\n", "Copying gs://detectmysetup/train/bc993954af67a973.jpg...\n", "Copying gs://detectmysetup/train/bcb3b9d25e932967.jpg...\n", "Copying gs://detectmysetup/train/bcc1697a9f88bf9f.jpg...\n", "Copying gs://detectmysetup/train/bccb73b33b78c0e7.jpg...\n", "Copying gs://detectmysetup/train/bcd5d2056c2ecd41.jpg...\n", "Copying gs://detectmysetup/train/bcf587e59ca8ecf8.jpg...\n", "Copying gs://detectmysetup/train/bce6870f547ce4ea.jpg...\n", "Copying gs://detectmysetup/train/bd040a8a2c30881b.jpg...\n", "Copying gs://detectmysetup/train/bd1ebef6452e8027.jpg...\n", "Copying gs://detectmysetup/train/bd6813574a8ee618.jpg...\n", "Copying gs://detectmysetup/train/bd30c6a5af89f836.jpg...\n", "Copying gs://detectmysetup/train/bd37b21325c8c2fb.jpg...\n", "Copying gs://detectmysetup/train/bd6f055c953bb138.jpg...\n", "Copying gs://detectmysetup/train/bd83bfcf7baa098c.jpg...\n", "Copying gs://detectmysetup/train/bd8ba5752496cd1b.jpg...\n", "Copying gs://detectmysetup/train/bdad80558fbd649e.jpg...\n", "Copying gs://detectmysetup/train/bdb15227c3a6ab15.jpg...\n", "Copying gs://detectmysetup/train/bdd3d9aeb79d0a60.jpg...\n", "Copying gs://detectmysetup/train/bdb60105cf5475d6.jpg...\n", "Copying gs://detectmysetup/train/bdeb5504f17cebb1.jpg...\n", "Copying gs://detectmysetup/train/bdebf921712158c0.jpg...\n", "Copying gs://detectmysetup/train/bded9c4c1cee0ab3.jpg...\n", "Copying gs://detectmysetup/train/be25e04cc195f850.jpg...\n", "Copying gs://detectmysetup/train/be2f12f410bbff21.jpg...\n", "Copying gs://detectmysetup/train/be3cb040d3988201.jpg...\n", "Copying gs://detectmysetup/train/be516dd598f57952.jpg...\n", "Copying gs://detectmysetup/train/be559ea9aebd661a.jpg...\n", "Copying gs://detectmysetup/train/be5a655530a94e87.jpg...\n", "Copying gs://detectmysetup/train/be6130c53cafcf61.jpg...\n", "Copying gs://detectmysetup/train/be7a12a2e2b3935b.jpg...\n", "Copying gs://detectmysetup/train/be7b082ec8d0c754.jpg...\n", "Copying gs://detectmysetup/train/be879eefa9a69ad9.jpg...\n", "Copying gs://detectmysetup/train/be899d04e8bf5c6e.jpg...\n", "Copying gs://detectmysetup/train/be9095a5adfc379a.jpg...\n", "Copying gs://detectmysetup/train/be96047f31f95480.jpg...\n", "Copying gs://detectmysetup/train/bea8399fc5d487c3.jpg...\n", "Copying gs://detectmysetup/train/beafc2f2264e07d6.jpg...\n", "Copying gs://detectmysetup/train/beb8c085d0f59000.jpg...\n", "Copying gs://detectmysetup/train/bedcbca6fe8ac809.jpg...\n", "Copying gs://detectmysetup/train/bf0a9a88ab209ac8.jpg...\n", "Copying gs://detectmysetup/train/bef3c0e3548a127c.jpg...\n", "Copying gs://detectmysetup/train/bf0b6d2e021e2f8a.jpg...\n", "Copying gs://detectmysetup/train/bf17d425a3cf6016.jpg...\n", "Copying gs://detectmysetup/train/bf2c28730e98ddef.jpg...\n", "Copying gs://detectmysetup/train/bf2f7d03e339abc6.jpg...\n", "Copying gs://detectmysetup/train/bf3212a74754c0b4.jpg...\n", "Copying gs://detectmysetup/train/bf325876a6a7b1a7.jpg...\n", "Copying gs://detectmysetup/train/bf353473f20ead07.jpg...\n", "Copying gs://detectmysetup/train/bf36e7f39ce8bb79.jpg...\n", "Copying gs://detectmysetup/train/bf3d33aa80c64337.jpg...\n", "Copying gs://detectmysetup/train/bf70236271ab8e32.jpg...\n", "Copying gs://detectmysetup/train/bf99121aa033f136.jpg...\n", "Copying gs://detectmysetup/train/bfbb8a2f9392a01c.jpg...\n", "Copying gs://detectmysetup/train/bfbdcce100fb4fe6.jpg...\n", "Copying gs://detectmysetup/train/bfc7fd52a90cbc2c.jpg...\n", "Copying gs://detectmysetup/train/bfe6a8bb2ce1c185.jpg...\n", "Copying gs://detectmysetup/train/bfed674627dc9b9c.jpg...\n", "Copying gs://detectmysetup/train/c01e86510bcbf8d3.jpg...\n", "Copying gs://detectmysetup/train/bff7501ccd4d1ec3.jpg...\n", "Copying gs://detectmysetup/train/c02ca567329f5bd9.jpg...\n", "Copying gs://detectmysetup/train/c045d26f7e36adc1.jpg...\n", "Copying gs://detectmysetup/train/c05de7d8faf3460a.jpg...\n", "Copying gs://detectmysetup/train/c05de8f976bb14ce.jpg...\n", "Copying gs://detectmysetup/train/c07a9a8ddd6a36fb.jpg...\n", "Copying gs://detectmysetup/train/c09a04831f048bcc.jpg...\n", "Copying gs://detectmysetup/train/c0c78e27eb955f92.jpg...\n", "Copying gs://detectmysetup/train/c083949cb221970a.jpg...\n", "Copying gs://detectmysetup/train/c093189df8fa69aa.jpg...\n", "Copying gs://detectmysetup/train/c0cec257b18ee58e.jpg...\n", "Copying gs://detectmysetup/train/c0cfdaedd7f839da.jpg...\n", "Copying gs://detectmysetup/train/c0d6e07e12525076.jpg...\n", "Copying gs://detectmysetup/train/c0d72b67484e0e5e.jpg...\n", "Copying gs://detectmysetup/train/c0e363576ef1d053.jpg...\n", "Copying gs://detectmysetup/train/c0e5ea11fdf3f091.jpg...\n", "Copying gs://detectmysetup/train/c0fc63b6224924e3.jpg...\n", "Copying gs://detectmysetup/train/c0eaab9906b9344d.jpg...\n", "Copying gs://detectmysetup/train/c101ab7a2a0256cf.jpg...\n", "Copying gs://detectmysetup/train/c10bf844edf686e6.jpg...\n", "Copying gs://detectmysetup/train/c114ae19e9fc5e95.jpg...\n", "Copying gs://detectmysetup/train/c11698bd655234d8.jpg...\n", "Copying gs://detectmysetup/train/c1182f52d2689e96.jpg...\n", "Copying gs://detectmysetup/train/c134a2ce30aefcd2.jpg...\n", "Copying gs://detectmysetup/train/c14d7d5697c5deb1.jpg...\n", "Copying gs://detectmysetup/train/c14cab2253997b87.jpg...\n", "Copying gs://detectmysetup/train/c157da0857cbf92b.jpg...\n", "Copying gs://detectmysetup/train/c15cdd2c88517e2f.jpg...\n", "Copying gs://detectmysetup/train/c1a10bcc498c24f1.jpg...\n", "Copying gs://detectmysetup/train/c1a5dfecb13ad5cd.jpg...\n", "Copying gs://detectmysetup/train/c1b70fb309d5353f.jpg...\n", "Copying gs://detectmysetup/train/c1d8214441edcea9.jpg...\n", "Copying gs://detectmysetup/train/c1cc8291b8274546.jpg...\n", "Copying gs://detectmysetup/train/c1ee4322c9a0eb30.jpg...\n", "Copying gs://detectmysetup/train/c1e483d3cab62d0c.jpg...\n", "Copying gs://detectmysetup/train/c20a98a02719626d.jpg...\n", "Copying gs://detectmysetup/train/c22e792876792b0f.jpg...\n", "Copying gs://detectmysetup/train/c245d393088add45.jpg...\n", "Copying gs://detectmysetup/train/c25fae219fa872d8.jpg...\n", "Copying gs://detectmysetup/train/c2788a94e78a0c4d.jpg...\n", "Copying gs://detectmysetup/train/c28483fa02acde86.jpg...\n", "Copying gs://detectmysetup/train/c28930a73f864838.jpg...\n", "Copying gs://detectmysetup/train/c2a065f259740539.jpg...\n", "Copying gs://detectmysetup/train/c2a10dcefe862a97.jpg...\n", "Copying gs://detectmysetup/train/c2bf792cd6b0e247.jpg...\n", "Copying gs://detectmysetup/train/c2cdc6daf6de974e.jpg...\n", "Copying gs://detectmysetup/train/c2da1045aa913d86.jpg...\n", "Copying gs://detectmysetup/train/c2dc82820f7fd5a9.jpg...\n", "Copying gs://detectmysetup/train/c2de7964262d27bc.jpg...\n", "Copying gs://detectmysetup/train/c2e7232cd394e044.jpg...\n", "Copying gs://detectmysetup/train/c2fb1b172a81b3ab.jpg...\n", "Copying gs://detectmysetup/train/c302cda9792ac69b.jpg...\n", "Copying gs://detectmysetup/train/c3283210e1189700.jpg...\n", "Copying gs://detectmysetup/train/c32d30a336c645d6.jpg...\n", "Copying gs://detectmysetup/train/c32b88c34ac23417.jpg...\n", "Copying gs://detectmysetup/train/c3305e6f1bd38b56.jpg...\n", "Copying gs://detectmysetup/train/c33bf56095a5aa9f.jpg...\n", "Copying gs://detectmysetup/train/c3419d1beb5f6733.jpg...\n", "Copying gs://detectmysetup/train/c349122ecd4ef9fe.jpg...\n", "Copying gs://detectmysetup/train/c34234819ec16b78.jpg...\n", "Copying gs://detectmysetup/train/c34e9f33a671c5fb.jpg...\n", "Copying gs://detectmysetup/train/c3552064209d5891.jpg...\n", "Copying gs://detectmysetup/train/c359b0627fa37c37.jpg...\n", "Copying gs://detectmysetup/train/c35ab239145892be.jpg...\n", "Copying gs://detectmysetup/train/c37a9d7dd96ba1bc.jpg...\n", "Copying gs://detectmysetup/train/c3785baa6982cbb7.jpg...\n", "Copying gs://detectmysetup/train/c397bef3b872923a.jpg...\n", "Copying gs://detectmysetup/train/c3992690fe358899.jpg...\n", "Copying gs://detectmysetup/train/c39afa97d54dd34e.jpg...\n", "Copying gs://detectmysetup/train/c39cb3a4360d75a0.jpg...\n", "Copying gs://detectmysetup/train/c3aae4fa9fd498bf.jpg...\n", "Copying gs://detectmysetup/train/c3b3d8897640c70e.jpg...\n", "Copying gs://detectmysetup/train/c3b7359c1e2dc65f.jpg...\n", "Copying gs://detectmysetup/train/c3b749a290b23c3e.jpg...\n", "Copying gs://detectmysetup/train/c3c0c4e42d7a7eec.jpg...\n", "Copying gs://detectmysetup/train/c3c381cc3721fe63.jpg...\n", "Copying gs://detectmysetup/train/c3c40d44cc3d664f.jpg...\n", "Copying gs://detectmysetup/train/c3f331131be71b46.jpg...\n", "Copying gs://detectmysetup/train/c405de1702fa978b.jpg...\n", "Copying gs://detectmysetup/train/c40dffb47c0bf948.jpg...\n", "Copying gs://detectmysetup/train/c42ac95f81a9081b.jpg...\n", "Copying gs://detectmysetup/train/c42b177067b0cfc9.jpg...\n", "Copying gs://detectmysetup/train/c43b1d230f35fc32.jpg...\n", "Copying gs://detectmysetup/train/c458052588708f21.jpg...\n", "Copying gs://detectmysetup/train/c465531976af6300.jpg...\n", "Copying gs://detectmysetup/train/c46662b6f90d760c.jpg...\n", "Copying gs://detectmysetup/train/c480ca1fa4f3908f.jpg...\n", "Copying gs://detectmysetup/train/c4730c783276c2ec.jpg...\n", "Copying gs://detectmysetup/train/c483cfd94a033079.jpg...\n", "Copying gs://detectmysetup/train/c489f0dbd83c7fa7.jpg...\n", "Copying gs://detectmysetup/train/c49bee3ac1db175c.jpg...\n", "Copying gs://detectmysetup/train/c4b0f222101c995a.jpg...\n", "Copying gs://detectmysetup/train/c4bfde8a05e58af9.jpg...\n", "Copying gs://detectmysetup/train/c4c6df3ab1b3276d.jpg...\n", "Copying gs://detectmysetup/train/c4c79fcac1f4f6fb.jpg...\n", "Copying gs://detectmysetup/train/c4e945fc1eb3f3c1.jpg...\n", "Copying gs://detectmysetup/train/c4faf1093802809b.jpg...\n", "Copying gs://detectmysetup/train/c4fe83cd44f04dd5.jpg...\n", "Copying gs://detectmysetup/train/c50f6cc044789c48.jpg...\n", "Copying gs://detectmysetup/train/c51d11a45ac246ce.jpg...\n", "Copying gs://detectmysetup/train/c520160d2eb45976.jpg...\n", "Copying gs://detectmysetup/train/c541a77bbbd0bb57.jpg...\n", "Copying gs://detectmysetup/train/c5556c276585e68d.jpg...\n", "Copying gs://detectmysetup/train/c547d275115e9649.jpg...\n", "Copying gs://detectmysetup/train/c55b011556588a82.jpg...\n", "Copying gs://detectmysetup/train/c55ba21e8205faba.jpg...\n", "Copying gs://detectmysetup/train/c5ad06b3c2641395.jpg...\n", "Copying gs://detectmysetup/train/c5c11be39aa678ac.jpg...\n", "Copying gs://detectmysetup/train/c5dd9d5d34d30d49.jpg...\n", "Copying gs://detectmysetup/train/c5f049d99cbf789c.jpg...\n", "Copying gs://detectmysetup/train/c61087eef16af784.jpg...\n", "Copying gs://detectmysetup/train/c62f11a6ae02e3e4.jpg...\n", "Copying gs://detectmysetup/train/c635db65758a9ee6.jpg...\n", "Copying gs://detectmysetup/train/c650f3d1c3215f62.jpg...\n", "Copying gs://detectmysetup/train/c65572cd8a6f1968.jpg...\n", "Copying gs://detectmysetup/train/c657ef1c6e6c9df6.jpg...\n", "Copying gs://detectmysetup/train/c66e6dc731632fc6.jpg...\n", "Copying gs://detectmysetup/train/c686e12f82cae576.jpg...\n", "Copying gs://detectmysetup/train/c698d8e3bb34a550.jpg...\n", "Copying gs://detectmysetup/train/c68f03574b246703.jpg...\n", "Copying gs://detectmysetup/train/c6b8d3c907e17adc.jpg...\n", "Copying gs://detectmysetup/train/c6b94772b960c5f7.jpg...\n", "Copying gs://detectmysetup/train/c6e3625f6788bd98.jpg...\n", "Copying gs://detectmysetup/train/c6e95d79b8582499.jpg...\n", "Copying gs://detectmysetup/train/c6e3fd4d5c4dafa9.jpg...\n", "Copying gs://detectmysetup/train/c7129ee65f279c9b.jpg...\n", "Copying gs://detectmysetup/train/c75524cb754e767a.jpg...\n", "Copying gs://detectmysetup/train/c76460789705dd57.jpg...\n", "Copying gs://detectmysetup/train/c77cf0c3afb98ddb.jpg...\n", "Copying gs://detectmysetup/train/c792319f88c3eca5.jpg...\n", "Copying gs://detectmysetup/train/c7a591deffaa389d.jpg...\n", "Copying gs://detectmysetup/train/c7af607da29073ff.jpg...\n", "Copying gs://detectmysetup/train/c7b0f9c0b4446c7a.jpg...\n", "Copying gs://detectmysetup/train/c7b150c3ab731f97.jpg...\n", "Copying gs://detectmysetup/train/c7b979436cdb7b5f.jpg...\n", "Copying gs://detectmysetup/train/c7c726b041e0e881.jpg...\n", "Copying gs://detectmysetup/train/c7c726f14f0222ae.jpg...\n", "Copying gs://detectmysetup/train/c7ce0d2550a04afb.jpg...\n", "Copying gs://detectmysetup/train/c7e0c0fee4cb90b0.jpg...\n", "Copying gs://detectmysetup/train/c7f2b2aa791aca16.jpg...\n", "Copying gs://detectmysetup/train/c7fa743ede64d945.jpg...\n", "Copying gs://detectmysetup/train/c805ba561298df20.jpg...\n", "Copying gs://detectmysetup/train/c809745e5deaf94d.jpg...\n", "Copying gs://detectmysetup/train/c8111f666757a873.jpg...\n", "Copying gs://detectmysetup/train/c82da0d954d9a8f8.jpg...\n", "Copying gs://detectmysetup/train/c838e238f8d0f4e4.jpg...\n", "Copying gs://detectmysetup/train/c84ebef9ab48dd1b.jpg...\n", "Copying gs://detectmysetup/train/c85e89da059cde46.jpg...\n", "Copying gs://detectmysetup/train/c85f42baa0577093.jpg...\n", "Copying gs://detectmysetup/train/c86ba591596f16f8.jpg...\n", "Copying gs://detectmysetup/train/c8839f082140ee23.jpg...\n", "Copying gs://detectmysetup/train/c8967befd8fee052.jpg...\n", "Copying gs://detectmysetup/train/c896a34a7776b356.jpg...\n", "Copying gs://detectmysetup/train/c8a00ecc829ecc11.jpg...\n", "Copying gs://detectmysetup/train/c8a9077ed53b5522.jpg...\n", "Copying gs://detectmysetup/train/c8b9223d4946790c.jpg...\n", "Copying gs://detectmysetup/train/c8c17323984a1330.jpg...\n", "Copying gs://detectmysetup/train/c8c68c640381a329.jpg...\n", "Copying gs://detectmysetup/train/c8d0299d58c3bff4.jpg...\n", "Copying gs://detectmysetup/train/c8ea4b93951cfc74.jpg...\n", "Copying gs://detectmysetup/train/c8dedada5f3174f4.jpg...\n", "Copying gs://detectmysetup/train/c8f4080623865f4a.jpg...\n", "Copying gs://detectmysetup/train/c8ffc03d98d18826.jpg...\n", "Copying gs://detectmysetup/train/c90eaddc3b4d22d1.jpg...\n", "Copying gs://detectmysetup/train/c9263c5954f3ffdd.jpg...\n", "Copying gs://detectmysetup/train/c9362ac6dfd4fb02.jpg...\n", "Copying gs://detectmysetup/train/c945c9b81c159bd0.jpg...\n", "Copying gs://detectmysetup/train/c94cfc09e9379ab0.jpg...\n", "Copying gs://detectmysetup/train/c953bf99acd6860d.jpg...\n", "Copying gs://detectmysetup/train/c9553d2f0fd0713e.jpg...\n", "Copying gs://detectmysetup/train/c95b09710ae58543.jpg...\n", "Copying gs://detectmysetup/train/c959dc327f67679a.jpg...\n", "Copying gs://detectmysetup/train/c96acc6c58b64680.jpg...\n", "Copying gs://detectmysetup/train/c97df8afe2a3ba14.jpg...\n", "Copying gs://detectmysetup/train/c9819199e51fe5b9.jpg...\n", "Copying gs://detectmysetup/train/c98bf4856c2b2fb3.jpg...\n", "Copying gs://detectmysetup/train/c996c1dbc9a703c7.jpg...\n", "Copying gs://detectmysetup/train/c9b88ceba243be25.jpg...\n", "Copying gs://detectmysetup/train/c99ff0f23eb5eb08.jpg...\n", "Copying gs://detectmysetup/train/c9b72508d153c979.jpg...\n", "Copying gs://detectmysetup/train/c9acb328f3486392.jpg...\n", "Copying gs://detectmysetup/train/c9c441a2585e0f64.jpg...\n", "Copying gs://detectmysetup/train/c9d2bbaa830c6323.jpg...\n", "Copying gs://detectmysetup/train/c9dc9159af675715.jpg...\n", "Copying gs://detectmysetup/train/c9f2841764917e7f.jpg...\n", "Copying gs://detectmysetup/train/c9f51c3e66c05d95.jpg...\n", "Copying gs://detectmysetup/train/ca0a3e7a30b51220.jpg...\n", "Copying gs://detectmysetup/train/ca0e14144359ee15.jpg...\n", "Copying gs://detectmysetup/train/ca1d26c8564e2c46.jpg...\n", "Copying gs://detectmysetup/train/ca0f5a806978bdd2.jpg...\n", "Copying gs://detectmysetup/train/ca30d1260455ebfb.jpg...\n", "Copying gs://detectmysetup/train/ca1f7be70c86dc76.jpg...\n", "Copying gs://detectmysetup/train/ca31ec65056b991a.jpg...\n", "Copying gs://detectmysetup/train/ca3aca109796e025.jpg...\n", "Copying gs://detectmysetup/train/ca52b6dbb5f6a19f.jpg...\n", "Copying gs://detectmysetup/train/ca58639830a4150e.jpg...\n", "Copying gs://detectmysetup/train/ca75e352083ebc55.jpg...\n", "Copying gs://detectmysetup/train/ca6242e0c9243af3.jpg...\n", "Copying gs://detectmysetup/train/ca77666f682b922f.jpg...\n", "Copying gs://detectmysetup/train/ca86dba000f79846.jpg...\n", "Copying gs://detectmysetup/train/caa129262a5efae3.jpg...\n", "Copying gs://detectmysetup/train/caa223cedcb6f59b.jpg...\n", "Copying gs://detectmysetup/train/caa9ad330304e96a.jpg...\n", "Copying gs://detectmysetup/train/cabe987eac70caac.jpg...\n", "Copying gs://detectmysetup/train/cac4588aa894f6f7.jpg...\n", "Copying gs://detectmysetup/train/cac4fc2cd933d799.jpg...\n", "Copying gs://detectmysetup/train/cada8bf8db068ec5.jpg...\n", "Copying gs://detectmysetup/train/caed444ab3671b56.jpg...\n", "Copying gs://detectmysetup/train/caf7109786c67a8b.jpg...\n", "Copying gs://detectmysetup/train/cafb0a430c42e00e.jpg...\n", "Copying gs://detectmysetup/train/cb0b4a61c7a8987e.jpg...\n", "Copying gs://detectmysetup/train/cb1dc6126303b0ac.jpg...\n", "Copying gs://detectmysetup/train/cb219e710b2850dd.jpg...\n", "Copying gs://detectmysetup/train/cb3ad284ee09d4f7.jpg...\n", "Copying gs://detectmysetup/train/cb4828981b9888e3.jpg...\n", "Copying gs://detectmysetup/train/cb41110a049a61af.jpg...\n", "Copying gs://detectmysetup/train/cb4cabcd72e93b9f.jpg...\n", "Copying gs://detectmysetup/train/cb5017cd3cbd2e94.jpg...\n", "Copying gs://detectmysetup/train/cb630219aaff0879.jpg...\n", "Copying gs://detectmysetup/train/cb8521a3142ba0f9.jpg...\n", "Copying gs://detectmysetup/train/cb5dbe0e0fc0740d.jpg...\n", "Copying gs://detectmysetup/train/cb9db440d73c202e.jpg...\n", "Copying gs://detectmysetup/train/cbb4c65e112d4a6a.jpg...\n", "Copying gs://detectmysetup/train/cbb723b0a5472fa2.jpg...\n", "Copying gs://detectmysetup/train/cbc87a377c6a3187.jpg...\n", "Copying gs://detectmysetup/train/cbd4f4adf19ef361.jpg...\n", "Copying gs://detectmysetup/train/cbee49c5cb12ffa9.jpg...\n", "Copying gs://detectmysetup/train/cbf3614a30e49f9d.jpg...\n", "Copying gs://detectmysetup/train/cc28a54e117ffaa7.jpg...\n", "Copying gs://detectmysetup/train/cc426902dbb62ab6.jpg...\n", "Copying gs://detectmysetup/train/cc428d6d2dd9e91c.jpg...\n", "Copying gs://detectmysetup/train/cc1e830dac8e4c23.jpg...\n", "Copying gs://detectmysetup/train/cc49a203a3f83556.jpg...\n", "Copying gs://detectmysetup/train/cc4ce353ad1b798a.jpg...\n", "Copying gs://detectmysetup/train/cc50de3583f667f8.jpg...\n", "Copying gs://detectmysetup/train/cc529ed00a80b556.jpg...\n", "Copying gs://detectmysetup/train/cc6172e7152b2d65.jpg...\n", "Copying gs://detectmysetup/train/cc97dfad5d6a941a.jpg...\n", "Copying gs://detectmysetup/train/ccb658ee73c15eec.jpg...\n", "Copying gs://detectmysetup/train/ccbcf5ff6db5bebb.jpg...\n", "Copying gs://detectmysetup/train/ccc68746299dc263.jpg...\n", "Copying gs://detectmysetup/train/ccf89e32673020f8.jpg...\n", "Copying gs://detectmysetup/train/cd0f4f22b151ba5e.jpg...\n", "Copying gs://detectmysetup/train/cd16afbc3d52713a.jpg...\n", "Copying gs://detectmysetup/train/cd2a9adced20531d.jpg...\n", "Copying gs://detectmysetup/train/cd347c47d1639ea1.jpg...\n", "Copying gs://detectmysetup/train/cd46bcff994641ed.jpg...\n", "Copying gs://detectmysetup/train/cd4cf7a59408dcd1.jpg...\n", "Copying gs://detectmysetup/train/cd8ba3d82b6a98b8.jpg...\n", "Copying gs://detectmysetup/train/cd8d13dc7ddfa486.jpg...\n", "Copying gs://detectmysetup/train/cd8d856d96b49a58.jpg...\n", "Copying gs://detectmysetup/train/cd927dc733b38092.jpg...\n", "Copying gs://detectmysetup/train/cd9f008824592f43.jpg...\n", "Copying gs://detectmysetup/train/cda124e206ed27dc.jpg...\n", "Copying gs://detectmysetup/train/cdc114aa56a3bc58.jpg...\n", "Copying gs://detectmysetup/train/cdb072e5ccd8c276.jpg...\n", "Copying gs://detectmysetup/train/cdd1e2a11380d2c5.jpg...\n", "Copying gs://detectmysetup/train/cdd40cea3f9138dd.jpg...\n", "Copying gs://detectmysetup/train/cdd913d773575e64.jpg...\n", "Copying gs://detectmysetup/train/cdf450547df755c4.jpg...\n", "Copying gs://detectmysetup/train/cdf96d22aa0cb641.jpg...\n", "Copying gs://detectmysetup/train/ce1a187e15514f60.jpg...\n", "Copying gs://detectmysetup/train/ce355f289b309b2c.jpg...\n", "Copying gs://detectmysetup/train/ce3c4f1f4303a5f8.jpg...\n", "Copying gs://detectmysetup/train/ce541952c59341ff.jpg...\n", "Copying gs://detectmysetup/train/ce549e309c260994.jpg...\n", "Copying gs://detectmysetup/train/ce65571a120b3858.jpg...\n", "Copying gs://detectmysetup/train/ce699299282fa46a.jpg...\n", "Copying gs://detectmysetup/train/ce757e99d42dd5b1.jpg...\n", "Copying gs://detectmysetup/train/ce79118a136435a7.jpg...\n", "Copying gs://detectmysetup/train/ce826c745a995fe9.jpg...\n", "Copying gs://detectmysetup/train/ce833598699431d2.jpg...\n", "Copying gs://detectmysetup/train/ce8ab0fa3b42bac4.jpg...\n", "Copying gs://detectmysetup/train/ce95f8c4f3359681.jpg...\n", "Copying gs://detectmysetup/train/ce9ad630217ae44d.jpg...\n", "Copying gs://detectmysetup/train/cea8de29da1e1a92.jpg...\n", "Copying gs://detectmysetup/train/cec414d1f7155010.jpg...\n", "Copying gs://detectmysetup/train/cec89293d9f07254.jpg...\n", "Copying gs://detectmysetup/train/cec8afbec5ffc70b.jpg...\n", "Copying gs://detectmysetup/train/cec8e22810091297.jpg...\n", "Copying gs://detectmysetup/train/ced45ef4532885d0.jpg...\n", "Copying gs://detectmysetup/train/ceda7320cdd8a190.jpg...\n", "Copying gs://detectmysetup/train/cefa9cebe05d9475.jpg...\n", "Copying gs://detectmysetup/train/cf08128a1d02fd61.jpg...\n", "Copying gs://detectmysetup/train/cf0c688c30a897d1.jpg...\n", "Copying gs://detectmysetup/train/cf119bdc51032e4e.jpg...\n", "Copying gs://detectmysetup/train/cf17aa8e0d48ad01.jpg...\n", "Copying gs://detectmysetup/train/cf9d0ba82b36ee4f.jpg...\n", "Copying gs://detectmysetup/train/cf9f9c45ee1d21d8.jpg...\n", "Copying gs://detectmysetup/train/cfd349a416d1a927.jpg...\n", "Copying gs://detectmysetup/train/cfe02f0c6a7222f8.jpg...\n", "Copying gs://detectmysetup/train/cff6ff67c1f01826.jpg...\n", "Copying gs://detectmysetup/train/d0207f3335586e8d.jpg...\n", "Copying gs://detectmysetup/train/d04015ae260b8c39.jpg...\n", "Copying gs://detectmysetup/train/d043ff078f82d71f.jpg...\n", "Copying gs://detectmysetup/train/d05b3cbcc8db08f0.jpg...\n", "Copying gs://detectmysetup/train/d05c287fe2d3638a.jpg...\n", "Copying gs://detectmysetup/train/d06f7dde4e4821b3.jpg...\n", "Copying gs://detectmysetup/train/d0883a03ccc1398c.jpg...\n", "Copying gs://detectmysetup/train/d09b9818df517146.jpg...\n", "Copying gs://detectmysetup/train/d096324943146ae0.jpg...\n", "Copying gs://detectmysetup/train/d0aa1510a418ee96.jpg...\n", "Copying gs://detectmysetup/train/d0b06f40ded408d3.jpg...\n", "Copying gs://detectmysetup/train/d0b209ca2b27ab3d.jpg...\n", "Copying gs://detectmysetup/train/d0b830a6477a7f3a.jpg...\n", "Copying gs://detectmysetup/train/d0d10c0081dd24da.jpg...\n", "Copying gs://detectmysetup/train/d0e0d1b2ca4053d6.jpg...\n", "Copying gs://detectmysetup/train/d10ce4f35fca38f4.jpg...\n", "Copying gs://detectmysetup/train/d0e99c9201af794d.jpg...\n", "Copying gs://detectmysetup/train/d10f8173a390bea3.jpg...\n", "Copying gs://detectmysetup/train/d13dd473d0060eaa.jpg...\n", "Copying gs://detectmysetup/train/d13e2d1b68f41e8d.jpg...\n", "Copying gs://detectmysetup/train/d146ed528ddf3cca.jpg...\n", "Copying gs://detectmysetup/train/d1549dcba665582b.jpg...\n", "Copying gs://detectmysetup/train/d1447b3acb892219.jpg...\n", "Copying gs://detectmysetup/train/d156e199f13d9a7b.jpg...\n", "Copying gs://detectmysetup/train/d1708a76d2340391.jpg...\n", "Copying gs://detectmysetup/train/d182a2f20e7c5e66.jpg...\n", "Copying gs://detectmysetup/train/d1a0c77908301287.jpg...\n", "Copying gs://detectmysetup/train/d18fb885b85e8164.jpg...\n", "Copying gs://detectmysetup/train/d1b855d72ecd862a.jpg...\n", "Copying gs://detectmysetup/train/d1b07d83236ededc.jpg...\n", "Copying gs://detectmysetup/train/d1c01fbe444c574d.jpg...\n", "Copying gs://detectmysetup/train/d1bcf5b28cac6059.jpg...\n", "Copying gs://detectmysetup/train/d1cd86db7fd72916.jpg...\n", "Copying gs://detectmysetup/train/d1dece4b5f8a4b5a.jpg...\n", "Copying gs://detectmysetup/train/d1e1c13f4c1526cc.jpg...\n", "Copying gs://detectmysetup/train/d20507cc8faac96e.jpg...\n", "Copying gs://detectmysetup/train/d1ed944e49739548.jpg...\n", "Copying gs://detectmysetup/train/d2149b3c6ec748eb.jpg...\n", "Copying gs://detectmysetup/train/d2182049dbaba2e3.jpg...\n", "Copying gs://detectmysetup/train/d21a81893004fa54.jpg...\n", "Copying gs://detectmysetup/train/d22427e26409b4cf.jpg...\n", "Copying gs://detectmysetup/train/d227ad006870ceb7.jpg...\n", "Copying gs://detectmysetup/train/d230c2852a281ac0.jpg...\n", "Copying gs://detectmysetup/train/d256d6ece8dee2db.jpg...\n", "Copying gs://detectmysetup/train/d289cbf71a39fc6d.jpg...\n", "Copying gs://detectmysetup/train/d2bc96d4532de95d.jpg...\n", "Copying gs://detectmysetup/train/d2be8e51149ef35e.jpg...\n", "Copying gs://detectmysetup/train/d2e32b2733b56a7c.jpg...\n", "Copying gs://detectmysetup/train/d2eb815bdf5279a5.jpg...\n", "Copying gs://detectmysetup/train/d2ee7bc4c4d578e6.jpg...\n", "Copying gs://detectmysetup/train/d2ee98f5d4079806.jpg...\n", "Copying gs://detectmysetup/train/d30cd24accec9ecd.jpg...\n", "Copying gs://detectmysetup/train/d31054cbd5312da2.jpg...\n", "Copying gs://detectmysetup/train/d3555b65b1dbe5c8.jpg...\n", "Copying gs://detectmysetup/train/d33d022239942c25.jpg...\n", "Copying gs://detectmysetup/train/d35b214ef9bd891a.jpg...\n", "Copying gs://detectmysetup/train/d3636e6045a5798c.jpg...\n", "Copying gs://detectmysetup/train/d36d08a13a1de494.jpg...\n", "Copying gs://detectmysetup/train/d378f0b1fd0c92f8.jpg...\n", "Copying gs://detectmysetup/train/d37c2cda55fd0c6a.jpg...\n", "Copying gs://detectmysetup/train/d39b706ea252efe8.jpg...\n", "Copying gs://detectmysetup/train/d3da0a384b2721f6.jpg...\n", "Copying gs://detectmysetup/train/d3de018864c8158d.jpg...\n", "Copying gs://detectmysetup/train/d4008488977f5e88.jpg...\n", "Copying gs://detectmysetup/train/d418d12bcd2aabbc.jpg...\n", "Copying gs://detectmysetup/train/d41f00ffbee1af8c.jpg...\n", "Copying gs://detectmysetup/train/d42f797ba20fce7f.jpg...\n", "Copying gs://detectmysetup/train/d435bd02addc963a.jpg...\n", "Copying gs://detectmysetup/train/d4637b602638e18a.jpg...\n", "Copying gs://detectmysetup/train/d468ea8ec75bf265.jpg...\n", "Copying gs://detectmysetup/train/d4661b8e47c7639c.jpg...\n", "Copying gs://detectmysetup/train/d46921eaae112d45.jpg...\n", "Copying gs://detectmysetup/train/d46f252cd9356405.jpg...\n", "Copying gs://detectmysetup/train/d49eaa52915aa2ae.jpg...\n", "Copying gs://detectmysetup/train/d4b2cdeaf257f3d6.jpg...\n", "Copying gs://detectmysetup/train/d4d167541cdf3eef.jpg...\n", "Copying gs://detectmysetup/train/d507ca8dd6b8a0bb.jpg...\n", "Copying gs://detectmysetup/train/d52ca42f28ff6078.jpg...\n", "Copying gs://detectmysetup/train/d4efa8d354a5e4fd.jpg...\n", "Copying gs://detectmysetup/train/d530606a94cb8d3c.jpg...\n", "Copying gs://detectmysetup/train/d533c100c4677d64.jpg...\n", "Copying gs://detectmysetup/train/d54930ba7a7f1f65.jpg...\n", "Copying gs://detectmysetup/train/d55c6166c80ffad5.jpg...\n", "Copying gs://detectmysetup/train/d5605b97b5ceb49a.jpg...\n", "Copying gs://detectmysetup/train/d57d246a4157727c.jpg...\n", "Copying gs://detectmysetup/train/d57f64482b432504.jpg...\n", "Copying gs://detectmysetup/train/d588b6992499087b.jpg...\n", "Copying gs://detectmysetup/train/d591b20d04e06383.jpg...\n", "Copying gs://detectmysetup/train/d59b73122877d3df.jpg...\n", "Copying gs://detectmysetup/train/d5a601656f0674b6.jpg...\n", "Copying gs://detectmysetup/train/d5ac54370508e8b4.jpg...\n", "Copying gs://detectmysetup/train/d5ae4b85afe82da6.jpg...\n", "Copying gs://detectmysetup/train/d5cb9de4a471aefa.jpg...\n", "Copying gs://detectmysetup/train/d5d0d26d2fe76067.jpg...\n", "Copying gs://detectmysetup/train/d5d6ca5c49fcc15c.jpg...\n", "Copying gs://detectmysetup/train/d5da64ee9237f8ae.jpg...\n", "Copying gs://detectmysetup/train/d5ece3edd931db40.jpg...\n", "Copying gs://detectmysetup/train/d5ffa93b1482b7b1.jpg...\n", "Copying gs://detectmysetup/train/d5fc3ed740df1147.jpg...\n", "Copying gs://detectmysetup/train/d618725565d37ba4.jpg...\n", "Copying gs://detectmysetup/train/d6252fab3702d7db.jpg...\n", "Copying gs://detectmysetup/train/d6292f7826f2d13a.jpg...\n", "Copying gs://detectmysetup/train/d63236f3067cd759.jpg...\n", "Copying gs://detectmysetup/train/d64d0211cdfa688d.jpg...\n", "Copying gs://detectmysetup/train/d6672d742df42421.jpg...\n", "Copying gs://detectmysetup/train/d66c4614fa0f560b.jpg...\n", "Copying gs://detectmysetup/train/d66faa2cf7ff8c97.jpg...\n", "Copying gs://detectmysetup/train/d67fa40d6bb40372.jpg...\n", "Copying gs://detectmysetup/train/d6838e768388cb94.jpg...\n", "Copying gs://detectmysetup/train/d69bf9014d10c4bf.jpg...\n", "Copying gs://detectmysetup/train/d67c9bafa316ff90.jpg...\n", "Copying gs://detectmysetup/train/d6a8c2e56b2fe242.jpg...\n", "Copying gs://detectmysetup/train/d6a9d2260168e7ad.jpg...\n", "Copying gs://detectmysetup/train/d6bb996111c65de5.jpg...\n", "Copying gs://detectmysetup/train/d6e5074ac782ed4f.jpg...\n", "Copying gs://detectmysetup/train/d6ea4776e9915c10.jpg...\n", "Copying gs://detectmysetup/train/d6f1334b77aeea25.jpg...\n", "Copying gs://detectmysetup/train/d6f7603339ae7272.jpg...\n", "Copying gs://detectmysetup/train/d70b3451fb5aa19c.jpg...\n", "Copying gs://detectmysetup/train/d71310e04decc3bb.jpg...\n", "Copying gs://detectmysetup/train/d71518338a2a631c.jpg...\n", "Copying gs://detectmysetup/train/d7169991e52da167.jpg...\n", "Copying gs://detectmysetup/train/d721c5584ee08b30.jpg...\n", "Copying gs://detectmysetup/train/d71b167f85fc12c6.jpg...\n", "Copying gs://detectmysetup/train/d7279bf1024e8e0f.jpg...\n", "Copying gs://detectmysetup/train/d7430c6425a5965c.jpg...\n", "Copying gs://detectmysetup/train/d7470c0006e84e9e.jpg...\n", "Copying gs://detectmysetup/train/d74f29b90ce8b266.jpg...\n", "Copying gs://detectmysetup/train/d787b212159b19ce.jpg...\n", "Copying gs://detectmysetup/train/d7b96e2876793460.jpg...\n", "Copying gs://detectmysetup/train/d7a3c5733edb457d.jpg...\n", "Copying gs://detectmysetup/train/d7c15253803cf789.jpg...\n", "Copying gs://detectmysetup/train/d7f89475d0e2fece.jpg...\n", "Copying gs://detectmysetup/train/d81aedf28122c357.jpg...\n", "Copying gs://detectmysetup/train/d7d1dc32938b33e5.jpg...\n", "Copying gs://detectmysetup/train/d81f4df54498d73a.jpg...\n", "Copying gs://detectmysetup/train/d82f3dddd647c32a.jpg...\n", "Copying gs://detectmysetup/train/d856416edaf81845.jpg...\n", "Copying gs://detectmysetup/train/d85e747d4de68089.jpg...\n", "Copying gs://detectmysetup/train/d8735f9a86919b18.jpg...\n", "Copying gs://detectmysetup/train/d88315109ee1db57.jpg...\n", "Copying gs://detectmysetup/train/d884c5dbaf787b86.jpg...\n", "Copying gs://detectmysetup/train/d893f0588d7ea026.jpg...\n", "Copying gs://detectmysetup/train/d89b8881b2d4cbcd.jpg...\n", "Copying gs://detectmysetup/train/d8bb1c833c73cd0d.jpg...\n", "Copying gs://detectmysetup/train/d8ba300a6a577ff1.jpg...\n", "Copying gs://detectmysetup/train/d8d1c583b46fadd2.jpg...\n", "Copying gs://detectmysetup/train/d8d8e9f4169f4629.jpg...\n", "Copying gs://detectmysetup/train/d8fd6ef25b364a05.jpg...\n", "Copying gs://detectmysetup/train/d8e7ca207466231c.jpg...\n", "Copying gs://detectmysetup/train/d902ccabad25a6ac.jpg...\n", "Copying gs://detectmysetup/train/d9034db02ed1bf53.jpg...\n", "Copying gs://detectmysetup/train/d90a27303718a96c.jpg...\n", "Copying gs://detectmysetup/train/d90c351131ef2d83.jpg...\n", "Copying gs://detectmysetup/train/d9179a58e0ce1e32.jpg...\n", "Copying gs://detectmysetup/train/d91e8b62180c0f7d.jpg...\n", "Copying gs://detectmysetup/train/d92243b6629e1afd.jpg...\n", "Copying gs://detectmysetup/train/d976c630cc8a1ce5.jpg...\n", "Copying gs://detectmysetup/train/d98c16d08d7e4ffc.jpg...\n", "Copying gs://detectmysetup/train/d98efa4a354fcabe.jpg...\n", "Copying gs://detectmysetup/train/d99569b526ba6be3.jpg...\n", "Copying gs://detectmysetup/train/d99a2b8aa038a523.jpg...\n", "Copying gs://detectmysetup/train/d9984e11c79c91a8.jpg...\n", "Copying gs://detectmysetup/train/d9b9c3d0a700ae7d.jpg...\n", "Copying gs://detectmysetup/train/d9bfd2f0eae91481.jpg...\n", "Copying gs://detectmysetup/train/d9e27b723f08b487.jpg...\n", "Copying gs://detectmysetup/train/d9fb3fb7cae22b2b.jpg...\n", "Copying gs://detectmysetup/train/da09ad36f8597ac3.jpg...\n", "Copying gs://detectmysetup/train/da131a17f2df9a98.jpg...\n", "Copying gs://detectmysetup/train/d9fce92fe05eb6b8.jpg...\n", "Copying gs://detectmysetup/train/da497d0382362fde.jpg...\n", "Copying gs://detectmysetup/train/da59ec29e7699919.jpg...\n", "Copying gs://detectmysetup/train/da5b6260f517ab33.jpg...\n", "Copying gs://detectmysetup/train/da5b8a2a65d094c1.jpg...\n", "Copying gs://detectmysetup/train/da6084629d5d8d9c.jpg...\n", "Copying gs://detectmysetup/train/da750bb8b614c34d.jpg...\n", "Copying gs://detectmysetup/train/da7af4d7278cb999.jpg...\n", "Copying gs://detectmysetup/train/da8abdd81ea1c552.jpg...\n", "Copying gs://detectmysetup/train/daa2cd9cf16481b1.jpg...\n", "Copying gs://detectmysetup/train/daa4b0d9eb79db68.jpg...\n", "Copying gs://detectmysetup/train/dab99bbffbf612ba.jpg...\n", "Copying gs://detectmysetup/train/dac8e1a653ccd38c.jpg...\n", "Copying gs://detectmysetup/train/dac3b7eecb667e0b.jpg...\n", "Copying gs://detectmysetup/train/dad3f0887abcc398.jpg...\n", "Copying gs://detectmysetup/train/dae3c222f619647b.jpg...\n", "Copying gs://detectmysetup/train/dad8faee8ba7301b.jpg...\n", "Copying gs://detectmysetup/train/db14e830db152c43.jpg...\n", "Copying gs://detectmysetup/train/db24683299ce3886.jpg...\n", "Copying gs://detectmysetup/train/db28e14e15e91189.jpg...\n", "Copying gs://detectmysetup/train/db453b93062918fb.jpg...\n", "Copying gs://detectmysetup/train/db48f3c01922266a.jpg...\n", "Copying gs://detectmysetup/train/db5a3fb03f349cbb.jpg...\n", "Copying gs://detectmysetup/train/db8601b15846f70b.jpg...\n", "Copying gs://detectmysetup/train/db66b26deb010cd9.jpg...\n", "Copying gs://detectmysetup/train/db76481dce7ff6ea.jpg...\n", "Copying gs://detectmysetup/train/db8eebd6784f168d.jpg...\n", "Copying gs://detectmysetup/train/dbfa71eab9ad8448.jpg...\n", "Copying gs://detectmysetup/train/dbfd014bdf85d1af.jpg...\n", "Copying gs://detectmysetup/train/dc02d3c9646b4378.jpg...\n", "Copying gs://detectmysetup/train/dc41d9a96bb685b3.jpg...\n", "Copying gs://detectmysetup/train/dc4c5964ddfc5a76.jpg...\n", "Copying gs://detectmysetup/train/dc54a856332e41f5.jpg...\n", "Copying gs://detectmysetup/train/dc78d42720d72281.jpg...\n", "Copying gs://detectmysetup/train/dc5021f33703d6d1.jpg...\n", "Copying gs://detectmysetup/train/dc52fbc1d4ec03bd.jpg...\n", "Copying gs://detectmysetup/train/dc78e4e5cfaf7215.jpg...\n", "Copying gs://detectmysetup/train/dc8c1766482298c2.jpg...\n", "Copying gs://detectmysetup/train/dc902433c6b6d985.jpg...\n", "Copying gs://detectmysetup/train/dc9f4275bdfc97cd.jpg...\n", "Copying gs://detectmysetup/train/dca338c9a5dca9e0.jpg...\n", "Copying gs://detectmysetup/train/dca61e36438a0234.jpg...\n", "Copying gs://detectmysetup/train/dcaa2b07795849d0.jpg...\n", "Copying gs://detectmysetup/train/dcb004a7eb9473de.jpg...\n", "Copying gs://detectmysetup/train/dcbd32f5c821b69c.jpg...\n", "Copying gs://detectmysetup/train/dcd41a1b11c268f0.jpg...\n", "Copying gs://detectmysetup/train/dce038fec1cdb13a.jpg...\n", "Copying gs://detectmysetup/train/dce3610a7486c7be.jpg...\n", "Copying gs://detectmysetup/train/dcee5332bb957e24.jpg...\n", "Copying gs://detectmysetup/train/dd083adc836e6f30.jpg...\n", "Copying gs://detectmysetup/train/dd1337ee6d82d6c9.jpg...\n", "Copying gs://detectmysetup/train/dd16729f53bb8114.jpg...\n", "Copying gs://detectmysetup/train/dd4c587d24f566cc.jpg...\n", "Copying gs://detectmysetup/train/dd4ec95d0bd44b99.jpg...\n", "Copying gs://detectmysetup/train/dd5330aeff3ba9f1.jpg...\n", "Copying gs://detectmysetup/train/dd7692b85c268657.jpg...\n", "Copying gs://detectmysetup/train/ddba3bcd6fe03957.jpg...\n", "Copying gs://detectmysetup/train/dd86fbb5a92b513c.jpg...\n", "Copying gs://detectmysetup/train/ddcc5d814eb15cb2.jpg...\n", "Copying gs://detectmysetup/train/dde2914ea52c4448.jpg...\n", "Copying gs://detectmysetup/train/ddef3a01f78a44d4.jpg...\n", "Copying gs://detectmysetup/train/dde74b577d4ee7c5.jpg...\n", "Copying gs://detectmysetup/train/de17806d37101897.jpg...\n", "Copying gs://detectmysetup/train/de1e581f1a661870.jpg...\n", "Copying gs://detectmysetup/train/de220bf1efc2b4e5.jpg...\n", "Copying gs://detectmysetup/train/de30513cce4889ca.jpg...\n", "Copying gs://detectmysetup/train/de3d9478e952d3cb.jpg...\n", "Copying gs://detectmysetup/train/de4099454d0ee253.jpg...\n", "Copying gs://detectmysetup/train/de4fa41e441142d9.jpg...\n", "Copying gs://detectmysetup/train/de71aa017f8f9916.jpg...\n", "Copying gs://detectmysetup/train/de7de2341ad5d5d5.jpg...\n", "Copying gs://detectmysetup/train/de89ee891db3a569.jpg...\n", "Copying gs://detectmysetup/train/de94534b6897551f.jpg...\n", "Copying gs://detectmysetup/train/dea1553abbc9a3fd.jpg...\n", "Copying gs://detectmysetup/train/dec2078084379fda.jpg...\n", "Copying gs://detectmysetup/train/deda7244d25324e9.jpg...\n", "Copying gs://detectmysetup/train/deed190b0f6d4b4a.jpg...\n", "Copying gs://detectmysetup/train/def975c5ec22ae4e.jpg...\n", "Copying gs://detectmysetup/train/df05cac0f68b4664.jpg...\n", "Copying gs://detectmysetup/train/df1aa1c9b0c2e746.jpg...\n", "Copying gs://detectmysetup/train/df2f5f6eec3df071.jpg...\n", "Copying gs://detectmysetup/train/df37d8ed1de4abe1.jpg...\n", "Copying gs://detectmysetup/train/df51991b103dde60.jpg...\n", "Copying gs://detectmysetup/train/df404329bf8d09f4.jpg...\n", "Copying gs://detectmysetup/train/df882c74a4041d1b.jpg...\n", "Copying gs://detectmysetup/train/df653a3fa789f365.jpg...\n", "Copying gs://detectmysetup/train/df8e22f61f54ea76.jpg...\n", "Copying gs://detectmysetup/train/df9302d231457db1.jpg...\n", "Copying gs://detectmysetup/train/dfc04410003bf4c7.jpg...\n", "Copying gs://detectmysetup/train/dfc280bc2022372c.jpg...\n", "Copying gs://detectmysetup/train/dfd67385a0c0c127.jpg...\n", "Copying gs://detectmysetup/train/dfe5b255ce4e85fd.jpg...\n", "Copying gs://detectmysetup/train/dff720449d1b35d3.jpg...\n", "Copying gs://detectmysetup/train/e001cecc2bbfd21e.jpg...\n", "Copying gs://detectmysetup/train/e0043e8981da895b.jpg...\n", "Copying gs://detectmysetup/train/e00fb94928971f1f.jpg...\n", "Copying gs://detectmysetup/train/e0109928089fb814.jpg...\n", "Copying gs://detectmysetup/train/e0113f9c0e92a520.jpg...\n", "Copying gs://detectmysetup/train/e012f99c72e23b58.jpg...\n", "Copying gs://detectmysetup/train/e02c9c6504321a11.jpg...\n", "Copying gs://detectmysetup/train/e02fe10c3339bc6c.jpg...\n", "Copying gs://detectmysetup/train/e043920f554972ef.jpg...\n", "Copying gs://detectmysetup/train/e04f3fe4fba1a229.jpg...\n", "Copying gs://detectmysetup/train/e050baecc3872d7b.jpg...\n", "Copying gs://detectmysetup/train/e0773295181aef54.jpg...\n", "Copying gs://detectmysetup/train/e054dda43c1112a4.jpg...\n", "Copying gs://detectmysetup/train/e0866a0a16725b66.jpg...\n", "Copying gs://detectmysetup/train/e09e3840069a6018.jpg...\n", "Copying gs://detectmysetup/train/e0a81ee6be2e1711.jpg...\n", "Copying gs://detectmysetup/train/e0aefda96991c7f8.jpg...\n", "Copying gs://detectmysetup/train/e0d6d32d6603a07b.jpg...\n", "Copying gs://detectmysetup/train/e0f101f103d5d9ea.jpg...\n", "Copying gs://detectmysetup/train/e0e1f1cdd9ce8cbe.jpg...\n", "Copying gs://detectmysetup/train/e0fd01fbfe75c984.jpg...\n", "Copying gs://detectmysetup/train/e1095c63b91b2291.jpg...\n", "Copying gs://detectmysetup/train/e10d0daf01ad50c4.jpg...\n", "Copying gs://detectmysetup/train/e117aa77b16d4a0c.jpg...\n", "Copying gs://detectmysetup/train/e12265acf76afe7c.jpg...\n", "Copying gs://detectmysetup/train/e1316b8ebf7afdcd.jpg...\n", "Copying gs://detectmysetup/train/e135ae6f5e1fb40f.jpg...\n", "Copying gs://detectmysetup/train/e14d999df3152649.jpg...\n", "Copying gs://detectmysetup/train/e16b0b16e2c7e608.jpg...\n", "Copying gs://detectmysetup/train/e1936f2ffbc552b5.jpg...\n", "Copying gs://detectmysetup/train/e1765b31d9a7255f.jpg...\n", "Copying gs://detectmysetup/train/e1974299861a2353.jpg...\n", "Copying gs://detectmysetup/train/e19ed9c8e5750fa8.jpg...\n", "Copying gs://detectmysetup/train/e1b98e7ea3f77556.jpg...\n", "Copying gs://detectmysetup/train/e1c494fc090ce2cc.jpg...\n", "Copying gs://detectmysetup/train/e1d18da1867e840f.jpg...\n", "Copying gs://detectmysetup/train/e1d5134eadc0ca3f.jpg...\n", "Copying gs://detectmysetup/train/e1d57c7af389d664.jpg...\n", "Copying gs://detectmysetup/train/e1db5f0223dea24a.jpg...\n", "Copying gs://detectmysetup/train/e1e0ecd3f1e8aec7.jpg...\n", "Copying gs://detectmysetup/train/e1e2a526c76f24c0.jpg...\n", "Copying gs://detectmysetup/train/e21c1bd6b976b21d.jpg...\n", "Copying gs://detectmysetup/train/e22352d72813521c.jpg...\n", "Copying gs://detectmysetup/train/e22c5b7a984060dc.jpg...\n", "Copying gs://detectmysetup/train/e2469c0bc17dbac3.jpg...\n", "Copying gs://detectmysetup/train/e24baecad630740c.jpg...\n", "Copying gs://detectmysetup/train/e24e1662dd9ffbca.jpg...\n", "Copying gs://detectmysetup/train/e264e7aaa8ce9614.jpg...\n", "Copying gs://detectmysetup/train/e26ffa16c95192ac.jpg...\n", "Copying gs://detectmysetup/train/e27f0cfef70cfe7f.jpg...\n", "Copying gs://detectmysetup/train/e292d29d900af95d.jpg...\n", "Copying gs://detectmysetup/train/e29e1879bc5b72e0.jpg...\n", "Copying gs://detectmysetup/train/e2ab24d93f9aa5aa.jpg...\n", "Copying gs://detectmysetup/train/e2c6460e745bb2bf.jpg...\n", "Copying gs://detectmysetup/train/e2d66050184bf9f5.jpg...\n", "Copying gs://detectmysetup/train/e2d709eb9915c8cc.jpg...\n", "Copying gs://detectmysetup/train/e2e536ad032f5d6e.jpg...\n", "Copying gs://detectmysetup/train/e2e60f9d8f731e92.jpg...\n", "Copying gs://detectmysetup/train/e2fe6607f6162856.jpg...\n", "Copying gs://detectmysetup/train/e31d69b929e735f7.jpg...\n", "Copying gs://detectmysetup/train/e31e86be33334798.jpg...\n", "Copying gs://detectmysetup/train/e32107a106fa0e98.jpg...\n", "Copying gs://detectmysetup/train/e3356d44da0032be.jpg...\n", "Copying gs://detectmysetup/train/e33970374c29d957.jpg...\n", "Copying gs://detectmysetup/train/e3417793ae9eee39.jpg...\n", "Copying gs://detectmysetup/train/e36b6077aa8055a5.jpg...\n", "Copying gs://detectmysetup/train/e37bf933d79a0db9.jpg...\n", "Copying gs://detectmysetup/train/e373d771541b9dde.jpg...\n", "Copying gs://detectmysetup/train/e39c7c1ce8a0cc88.jpg...\n", "Copying gs://detectmysetup/train/e3abaf2cfd918d81.jpg...\n", "Copying gs://detectmysetup/train/e3a56e70670229f6.jpg...\n", "Copying gs://detectmysetup/train/e3ac47a33f81cfec.jpg...\n", "Copying gs://detectmysetup/train/e3b41e84fe3dd489.jpg...\n", "Copying gs://detectmysetup/train/e3b873e11023c674.jpg...\n", "Copying gs://detectmysetup/train/e3d35ba8695fbed8.jpg...\n", "Copying gs://detectmysetup/train/e3bb59f734406b07.jpg...\n", "Copying gs://detectmysetup/train/e3c750bc7f14aa1c.jpg...\n", "Copying gs://detectmysetup/train/e3dfa4fc99f2a064.jpg...\n", "Copying gs://detectmysetup/train/e3ec39b28310d2ac.jpg...\n", "Copying gs://detectmysetup/train/e404ef9e30b06158.jpg...\n", "Copying gs://detectmysetup/train/e4144338410b55f7.jpg...\n", "Copying gs://detectmysetup/train/e4180e6d25a04356.jpg...\n", "Copying gs://detectmysetup/train/e436727866766edd.jpg...\n", "Copying gs://detectmysetup/train/e43a1d5fba9185f5.jpg...\n", "Copying gs://detectmysetup/train/e453a41293f98194.jpg...\n", "Copying gs://detectmysetup/train/e45db6d448185908.jpg...\n", "Copying gs://detectmysetup/train/e47954e82a813780.jpg...\n", "Copying gs://detectmysetup/train/e4a173bbd8f20373.jpg...\n", "Copying gs://detectmysetup/train/e4a47d5d32677338.jpg...\n", "Copying gs://detectmysetup/train/e4c728b016f70c6c.jpg...\n", "Copying gs://detectmysetup/train/e4bcb2a12fedf767.jpg...\n", "Copying gs://detectmysetup/train/e4c3d8dd166b1454.jpg...\n", "Copying gs://detectmysetup/train/e4d15dd1c36a9a81.jpg...\n", "Copying gs://detectmysetup/train/e4e2baf57caa9ecb.jpg...\n", "Copying gs://detectmysetup/train/e4e63c352b676425.jpg...\n", "Copying gs://detectmysetup/train/e4e9e179c71375ed.jpg...\n", "Copying gs://detectmysetup/train/e4ec86adfd4d3bd8.jpg...\n", "Copying gs://detectmysetup/train/e4f57ee4961d9fac.jpg...\n", "Copying gs://detectmysetup/train/e500aabd1591e5a6.jpg...\n", "Copying gs://detectmysetup/train/e5090edddc9a7620.jpg...\n", "Copying gs://detectmysetup/train/e50eb4c2824e8252.jpg...\n", "Copying gs://detectmysetup/train/e52228c84d309f7b.jpg...\n", "Copying gs://detectmysetup/train/e5292a0546a90019.jpg...\n", "Copying gs://detectmysetup/train/e53c9b12a7f5de90.jpg...\n", "Copying gs://detectmysetup/train/e540e9a2a12feccc.jpg...\n", "Copying gs://detectmysetup/train/e56fbaecaf91fdd0.jpg...\n", "Copying gs://detectmysetup/train/e56b3935c45ce614.jpg...\n", "Copying gs://detectmysetup/train/e58b5b32012bbfb0.jpg...\n", "Copying gs://detectmysetup/train/e58ef9448ea4e02a.jpg...\n", "Copying gs://detectmysetup/train/e5a78762b9fbed3a.jpg...\n", "Copying gs://detectmysetup/train/e5c1c4f98003cc30.jpg...\n", "Copying gs://detectmysetup/train/e5c21a637560562b.jpg...\n", "Copying gs://detectmysetup/train/e5d0bdc6d8773a3c.jpg...\n", "Copying gs://detectmysetup/train/e5d45082395ce5e4.jpg...\n", "Copying gs://detectmysetup/train/e5dce937723f50cc.jpg...\n", "Copying gs://detectmysetup/train/e5dea6b2bdbfc4a9.jpg...\n", "Copying gs://detectmysetup/train/e5f5acc9acbabe8e.jpg...\n", "Copying gs://detectmysetup/train/e5ef903299815608.jpg...\n", "Copying gs://detectmysetup/train/e5f5b185d5e2cf8f.jpg...\n", "Copying gs://detectmysetup/train/e5fa528b72161f8d.jpg...\n", "Copying gs://detectmysetup/train/e62d5ed93ccad0e4.jpg...\n", "Copying gs://detectmysetup/train/e648f9ca14704612.jpg...\n", "Copying gs://detectmysetup/train/e659514898d25eb7.jpg...\n", "Copying gs://detectmysetup/train/e62dfc2896ced25f.jpg...\n", "Copying gs://detectmysetup/train/e65a27044123b58a.jpg...\n", "Copying gs://detectmysetup/train/e662bdcb023b45be.jpg...\n", "Copying gs://detectmysetup/train/e67fdb9b21df96d7.jpg...\n", "Copying gs://detectmysetup/train/e6874ea02a289853.jpg...\n", "Copying gs://detectmysetup/train/e68a80179d20e20e.jpg...\n", "Copying gs://detectmysetup/train/e69a331d6ec06f61.jpg...\n", "Copying gs://detectmysetup/train/e6ab850cce16b75c.jpg...\n", "Copying gs://detectmysetup/train/e6ae0be6b53dd60e.jpg...\n", "Copying gs://detectmysetup/train/e6af1d127740a645.jpg...\n", "Copying gs://detectmysetup/train/e6c095c72d9c1a56.jpg...\n", "Copying gs://detectmysetup/train/e6c68090e9eccdd8.jpg...\n", "Copying gs://detectmysetup/train/e6ca8bc4ce9a012e.jpg...\n", "Copying gs://detectmysetup/train/e6e86eb5555bdf0a.jpg...\n", "Copying gs://detectmysetup/train/e6cd5a9d460dca84.jpg...\n", "Copying gs://detectmysetup/train/e6ea5874cae2ffa5.jpg...\n", "Copying gs://detectmysetup/train/e6ec219c3d561fa1.jpg...\n", "Copying gs://detectmysetup/train/e7029872f8f9a9aa.jpg...\n", "Copying gs://detectmysetup/train/e715d98a51ce8607.jpg...\n", "Copying gs://detectmysetup/train/e73c9d0f19a333a0.jpg...\n", "Copying gs://detectmysetup/train/e75ce7e4573f230a.jpg...\n", "Copying gs://detectmysetup/train/e75d7bc9b939c028.jpg...\n", "Copying gs://detectmysetup/train/e76a5ebd33523179.jpg...\n", "Copying gs://detectmysetup/train/e76ac32db9759164.jpg...\n", "Copying gs://detectmysetup/train/e773b71ad12d3626.jpg...\n", "Copying gs://detectmysetup/train/e779b7f2150dc0ac.jpg...\n", "Copying gs://detectmysetup/train/e7836bb5c3ce0795.jpg...\n", "Copying gs://detectmysetup/train/e79b59a8586f9a02.jpg...\n", "Copying gs://detectmysetup/train/e7a70e52ffbd0a19.jpg...\n", "Copying gs://detectmysetup/train/e7c38089b5a14da5.jpg...\n", "Copying gs://detectmysetup/train/e7c39f43d6bc4a91.jpg...\n", "Copying gs://detectmysetup/train/e7c4c689a15f8b93.jpg...\n", "Copying gs://detectmysetup/train/e7db7d89150d49e9.jpg...\n", "Copying gs://detectmysetup/train/e7f8c4ccdf7bb9c4.jpg...\n", "Copying gs://detectmysetup/train/e80303b54458c7bc.jpg...\n", "Copying gs://detectmysetup/train/e80a74140006d16e.jpg...\n", "Copying gs://detectmysetup/train/e80c6fc4823dcd0a.jpg...\n", "Copying gs://detectmysetup/train/e8136511709c4efc.jpg...\n", "Copying gs://detectmysetup/train/e8192e33841de2da.jpg...\n", "Copying gs://detectmysetup/train/e826ae8ac1ad7a1c.jpg...\n", "Copying gs://detectmysetup/train/e831a9b197c8897b.jpg...\n", "Copying gs://detectmysetup/train/e82996f4c8f6911d.jpg...\n", "Copying gs://detectmysetup/train/e846d37de4fc58a5.jpg...\n", "Copying gs://detectmysetup/train/e850cbfc139cbf51.jpg...\n", "Copying gs://detectmysetup/train/e85b055606ad48d1.jpg...\n", "Copying gs://detectmysetup/train/e867bde189681fc4.jpg...\n", "Copying gs://detectmysetup/train/e86c3e1efdaa0104.jpg...\n", "Copying gs://detectmysetup/train/e877774a48cfac59.jpg...\n", "Copying gs://detectmysetup/train/e885080c72ff2d21.jpg...\n", "Copying gs://detectmysetup/train/e8884ac7123b53b8.jpg...\n", "Copying gs://detectmysetup/train/e8bbf3b5ba9b1849.jpg...\n", "Copying gs://detectmysetup/train/e8a45ab1080cc328.jpg...\n", "Copying gs://detectmysetup/train/e8cb02c8df8c34f4.jpg...\n", "Copying gs://detectmysetup/train/e9137c93fb202036.jpg...\n", "Copying gs://detectmysetup/train/e8eb9bf2f3a55e1c.jpg...\n", "Copying gs://detectmysetup/train/e91b8107fac87318.jpg...\n", "Copying gs://detectmysetup/train/e93fd07e5c51adc7.jpg...\n", "Copying gs://detectmysetup/train/e94ce6ec10143108.jpg...\n", "Copying gs://detectmysetup/train/e961d8c5755194b6.jpg...\n", "Copying gs://detectmysetup/train/e97676b2dcf64925.jpg...\n", "Copying gs://detectmysetup/train/e962abfa1113da51.jpg...\n", "Copying gs://detectmysetup/train/e982ef67ad56dfb8.jpg...\n", "Copying gs://detectmysetup/train/e9ab242dc6b56618.jpg...\n", "Copying gs://detectmysetup/train/e984c94cb7ee866e.jpg...\n", "Copying gs://detectmysetup/train/e9b17bdef795f4c8.jpg...\n", "Copying gs://detectmysetup/train/e9bc2a4666d502b8.jpg...\n", "Copying gs://detectmysetup/train/e9bd088c13fcaa46.jpg...\n", "Copying gs://detectmysetup/train/e9c069b2fa817bd0.jpg...\n", "Copying gs://detectmysetup/train/e9c2d5dce73d6161.jpg...\n", "Copying gs://detectmysetup/train/e9c4ef438df3c818.jpg...\n", "Copying gs://detectmysetup/train/e9f878c7607bf3b9.jpg...\n", "Copying gs://detectmysetup/train/ea08ed2e4e45e451.jpg...\n", "Copying gs://detectmysetup/train/ea03ca9b58eade7b.jpg...\n", "Copying gs://detectmysetup/train/ea393d82d6bf9ab4.jpg...\n", "Copying gs://detectmysetup/train/ea5760f380b4c03b.jpg...\n", "Copying gs://detectmysetup/train/ea617fd17ddc3917.jpg...\n", "Copying gs://detectmysetup/train/ea7124b6f14046dd.jpg...\n", "Copying gs://detectmysetup/train/ea72559d5dae13d1.jpg...\n", "Copying gs://detectmysetup/train/ea83ea73bf180d0b.jpg...\n", "Copying gs://detectmysetup/train/eaa5e71199ceb868.jpg...\n", "Copying gs://detectmysetup/train/eaaa4efeacf2aabe.jpg...\n", "Copying gs://detectmysetup/train/eac9c7d904d2fb26.jpg...\n", "Copying gs://detectmysetup/train/eaca18ce09d9ecc8.jpg...\n", "Copying gs://detectmysetup/train/ead5dc1ccea2ae18.jpg...\n", "Copying gs://detectmysetup/train/eae64c4b3f115f94.jpg...\n", "Copying gs://detectmysetup/train/eaec67e98402311a.jpg...\n", "Copying gs://detectmysetup/train/eb14ab3441142b64.jpg...\n", "Copying gs://detectmysetup/train/eb15643e598d4099.jpg...\n", "Copying gs://detectmysetup/train/eb2e21d790808324.jpg...\n", "Copying gs://detectmysetup/train/eb56fb04fb00dafb.jpg...\n", "Copying gs://detectmysetup/train/eb5fe5dc9a220281.jpg...\n", "Copying gs://detectmysetup/train/eb67d9497fdeadb8.jpg...\n", "Copying gs://detectmysetup/train/eb695bea8f3d1b30.jpg...\n", "Copying gs://detectmysetup/train/eb6b76877b59d65c.jpg...\n", "Copying gs://detectmysetup/train/eb7672ee4a928ebd.jpg...\n", "Copying gs://detectmysetup/train/eb779346af677494.jpg...\n", "Copying gs://detectmysetup/train/eb8757377f1f5562.jpg...\n", "Copying gs://detectmysetup/train/eb88b47947d83bb9.jpg...\n", "Copying gs://detectmysetup/train/eba4919a5648ccb6.jpg...\n", "Copying gs://detectmysetup/train/ebcb8e13f41b4845.jpg...\n", "Copying gs://detectmysetup/train/ebd8b95c48114e07.jpg...\n", "Copying gs://detectmysetup/train/ec258b28e5cc87b5.jpg...\n", "Copying gs://detectmysetup/train/ebf340a83af1aa36.jpg...\n", "Copying gs://detectmysetup/train/ec1fc6000d260239.jpg...\n", "Copying gs://detectmysetup/train/ec42b58543ea2516.jpg...\n", "Copying gs://detectmysetup/train/ec71d7818f4f3cdc.jpg...\n", "Copying gs://detectmysetup/train/ec749f4dd20e7e84.jpg...\n", "Copying gs://detectmysetup/train/ec775cf916f98ba1.jpg...\n", "Copying gs://detectmysetup/train/ec8f5eb7401d273b.jpg...\n", "Copying gs://detectmysetup/train/ec95d310169b9294.jpg...\n", "Copying gs://detectmysetup/train/eca805eed23d4235.jpg...\n", "Copying gs://detectmysetup/train/ecb75e3b29af4da1.jpg...\n", "Copying gs://detectmysetup/train/ecbd533a89d9ab82.jpg...\n", "Copying gs://detectmysetup/train/ecc28db9778fe1bf.jpg...\n", "Copying gs://detectmysetup/train/ed05ccd4daa45a21.jpg...\n", "Copying gs://detectmysetup/train/ed1110e7da23cbf8.jpg...\n", "Copying gs://detectmysetup/train/ed1949ab7ea78c58.jpg...\n", "Copying gs://detectmysetup/train/ed493613930ef77c.jpg...\n", "Copying gs://detectmysetup/train/ed4e0ab1a5d59704.jpg...\n", "Copying gs://detectmysetup/train/ed586b9acea34584.jpg...\n", "Copying gs://detectmysetup/train/ed59835d05120c06.jpg...\n", "Copying gs://detectmysetup/train/ed5dfb53b7fa8310.jpg...\n", "Copying gs://detectmysetup/train/ed67482cc528dce1.jpg...\n", "Copying gs://detectmysetup/train/ed69407246eea35e.jpg...\n", "Copying gs://detectmysetup/train/ed8a879da1653c07.jpg...\n", "Copying gs://detectmysetup/train/ed9cbc1a76d6b016.jpg...\n", "Copying gs://detectmysetup/train/edd695362809ec7b.jpg...\n", "Copying gs://detectmysetup/train/eddc96a9871b5204.jpg...\n", "Copying gs://detectmysetup/train/ee013fd1d2e5689a.jpg...\n", "Copying gs://detectmysetup/train/ee30f35ca537d0db.jpg...\n", "Copying gs://detectmysetup/train/ee3171eb124fe1ed.jpg...\n", "Copying gs://detectmysetup/train/ee4845d83c7a89a9.jpg...\n", "Copying gs://detectmysetup/train/ee400ff58efb09d7.jpg...\n", "Copying gs://detectmysetup/train/ee51962b405d43a8.jpg...\n", "Copying gs://detectmysetup/train/ee6489052d8c9cce.jpg...\n", "Copying gs://detectmysetup/train/ee6e85eb02d84ea8.jpg...\n", "Copying gs://detectmysetup/train/ee8379599af4346c.jpg...\n", "Copying gs://detectmysetup/train/ee8985922499d497.jpg...\n", "Copying gs://detectmysetup/train/eea9e009c77cd1b7.jpg...\n", "Copying gs://detectmysetup/train/eeb84a6c66de5699.jpg...\n", "Copying gs://detectmysetup/train/eece938f125cf2af.jpg...\n", "Copying gs://detectmysetup/train/eecf2eb6c5d69f9e.jpg...\n", "Copying gs://detectmysetup/train/eed60fa7b2f6877c.jpg...\n", "Copying gs://detectmysetup/train/eee6cbbfd764981a.jpg...\n", "Copying gs://detectmysetup/train/eeeba75dbb0e2ff1.jpg...\n", "Copying gs://detectmysetup/train/eef48c9044ca2c90.jpg...\n", "Copying gs://detectmysetup/train/eeff2a2754fcb70a.jpg...\n", "Copying gs://detectmysetup/train/ef04b148ea16ebae.jpg...\n", "Copying gs://detectmysetup/train/ef09b83edb26a5c6.jpg...\n", "Copying gs://detectmysetup/train/ef0e10fc652a27f8.jpg...\n", "Copying gs://detectmysetup/train/ef15fd6ddd44c713.jpg...\n", "Copying gs://detectmysetup/train/ef168b200aacf17f.jpg...\n", "Copying gs://detectmysetup/train/ef1b01100686fa27.jpg...\n", "Copying gs://detectmysetup/train/ef2509ced6be5933.jpg...\n", "Copying gs://detectmysetup/train/ef288cb5e40f6713.jpg...\n", "Copying gs://detectmysetup/train/ef2b2467860b4f06.jpg...\n", "Copying gs://detectmysetup/train/ef4ee1a2041d940d.jpg...\n", "Copying gs://detectmysetup/train/ef538b188432d7a7.jpg...\n", "Copying gs://detectmysetup/train/ef83690bc161cd76.jpg...\n", "Copying gs://detectmysetup/train/ef8592cd6b21fe5b.jpg...\n", "Copying gs://detectmysetup/train/ef98afb03bc086ce.jpg...\n", "Copying gs://detectmysetup/train/ef86093c332e0407.jpg...\n", "Copying gs://detectmysetup/train/efb1123516aa700c.jpg...\n", "Copying gs://detectmysetup/train/efb71fdb2ec67504.jpg...\n", "Copying gs://detectmysetup/train/efb8b9fe784dd5ce.jpg...\n", "Copying gs://detectmysetup/train/efc38f10b84e9c3e.jpg...\n", "Copying gs://detectmysetup/train/efc8c4c79f9e4068.jpg...\n", "Copying gs://detectmysetup/train/f013fd9ea34120e2.jpg...\n", "Copying gs://detectmysetup/train/f01b8e3df2cd4ce1.jpg...\n", "Copying gs://detectmysetup/train/f025d936153b0989.jpg...\n", "Copying gs://detectmysetup/train/f0372defaea56ccd.jpg...\n", "Copying gs://detectmysetup/train/f038f2041d95f524.jpg...\n", "Copying gs://detectmysetup/train/f03b0e410ddb80f0.jpg...\n", "Copying gs://detectmysetup/train/f05b59e5e68c14b7.jpg...\n", "Copying gs://detectmysetup/train/f06b8b740b2bfaa9.jpg...\n", "Copying gs://detectmysetup/train/f06c56b14a863f79.jpg...\n", "Copying gs://detectmysetup/train/f070e0bbc073f0b3.jpg...\n", "Copying gs://detectmysetup/train/f08ad8769c3ecd72.jpg...\n", "Copying gs://detectmysetup/train/f08d8e2eb95ba23d.jpg...\n", "Copying gs://detectmysetup/train/f097089986e10695.jpg...\n", "Copying gs://detectmysetup/train/f0a99f06aeac5eb2.jpg...\n", "Copying gs://detectmysetup/train/f0b984dda1088792.jpg...\n", "Copying gs://detectmysetup/train/f098d54d0a1f443d.jpg...\n", "Copying gs://detectmysetup/train/f0bdb265ab33b8f7.jpg...\n", "Copying gs://detectmysetup/train/f0d648cf548d6958.jpg...\n", "Copying gs://detectmysetup/train/f0f6338e8641a9d3.jpg...\n", "Copying gs://detectmysetup/train/f0f9ec3fa0b5447c.jpg...\n", "Copying gs://detectmysetup/train/f13e71af21080cb3.jpg...\n", "Copying gs://detectmysetup/train/f14a625d7ac4cec9.jpg...\n", "Copying gs://detectmysetup/train/f151e45323bf74f0.jpg...\n", "Copying gs://detectmysetup/train/f15ce34f191eee95.jpg...\n", "Copying gs://detectmysetup/train/f1792c61f66d7a08.jpg...\n", "Copying gs://detectmysetup/train/f191e86656c3146d.jpg...\n", "Copying gs://detectmysetup/train/f19a4f5460090f5b.jpg...\n", "Copying gs://detectmysetup/train/f1a6d6b428ab71ca.jpg...\n", "Copying gs://detectmysetup/train/f1a8e8a0040e8de6.jpg...\n", "Copying gs://detectmysetup/train/f1bd30467234152d.jpg...\n", "Copying gs://detectmysetup/train/f1c631f7c7f1b18d.jpg...\n", "Copying gs://detectmysetup/train/f1c5d92a3a562165.jpg...\n", "Copying gs://detectmysetup/train/f1cc1ff46d8b1a30.jpg...\n", "Copying gs://detectmysetup/train/f1df586a01b820fe.jpg...\n", "Copying gs://detectmysetup/train/f1fe819c89ed0228.jpg...\n", "Copying gs://detectmysetup/train/f20e672e070f4a90.jpg...\n", "Copying gs://detectmysetup/train/f21f3013dd3fae28.jpg...\n", "Copying gs://detectmysetup/train/f225c0de897351dd.jpg...\n", "Copying gs://detectmysetup/train/f2495bb5b41ff2cc.jpg...\n", "Copying gs://detectmysetup/train/f25863dff929f3ab.jpg...\n", "Copying gs://detectmysetup/train/f249ca880f8db2eb.jpg...\n", "Copying gs://detectmysetup/train/f275f1f98da72c3d.jpg...\n", "Copying gs://detectmysetup/train/f283c11ff29679e5.jpg...\n", "Copying gs://detectmysetup/train/f2b0681382acc9e9.jpg...\n", "Copying gs://detectmysetup/train/f2b38519fc4e3a05.jpg...\n", "Copying gs://detectmysetup/train/f2cf02e7d88a1368.jpg...\n", "Copying gs://detectmysetup/train/f2d53bbf9987ec30.jpg...\n", "Copying gs://detectmysetup/train/f2e2c1f7af183fd6.jpg...\n", "Copying gs://detectmysetup/train/f2f6512ea9668d1a.jpg...\n", "Copying gs://detectmysetup/train/f310e029340622e9.jpg...\n", "Copying gs://detectmysetup/train/f32b77d81eed8e56.jpg...\n", "Copying gs://detectmysetup/train/f336180bc294eac6.jpg...\n", "Copying gs://detectmysetup/train/f33bc03f73070e73.jpg...\n", "Copying gs://detectmysetup/train/f3382a35bdd21c32.jpg...\n", "Copying gs://detectmysetup/train/f343d2a1f504ebf9.jpg...\n", "Copying gs://detectmysetup/train/f34833e7f66bb123.jpg...\n", "Copying gs://detectmysetup/train/f35020d47d051ed9.jpg...\n", "Copying gs://detectmysetup/train/f356262d23aa8387.jpg...\n", "Copying gs://detectmysetup/train/f35dcb4ea86b128d.jpg...\n", "Copying gs://detectmysetup/train/f36570f954e15462.jpg...\n", "Copying gs://detectmysetup/train/f37301509eb44e6e.jpg...\n", "Copying gs://detectmysetup/train/f37ac0264e5cce44.jpg...\n", "Copying gs://detectmysetup/train/f3807e63deb5ddc9.jpg...\n", "Copying gs://detectmysetup/train/f3a7422e3f88b43e.jpg...\n", "Copying gs://detectmysetup/train/f3b2658589408d44.jpg...\n", "Copying gs://detectmysetup/train/f3b7188622fa4c67.jpg...\n", "Copying gs://detectmysetup/train/f3bbe0564d333edc.jpg...\n", "Copying gs://detectmysetup/train/f3d37afe509049b7.jpg...\n", "Copying gs://detectmysetup/train/f3ec09dc36c2bec5.jpg...\n", "Copying gs://detectmysetup/train/f3f1f09e79dade3e.jpg...\n", "Copying gs://detectmysetup/train/f419549e87193e6d.jpg...\n", "Copying gs://detectmysetup/train/f428f7380d8caadd.jpg...\n", "Copying gs://detectmysetup/train/f42fdc0976221580.jpg...\n", "Copying gs://detectmysetup/train/f453f596d18d7f68.jpg...\n", "Copying gs://detectmysetup/train/f4592cd2e78b53a6.jpg...\n", "Copying gs://detectmysetup/train/f4585a8cd3c0091b.jpg...\n", "Copying gs://detectmysetup/train/f46a519669c16ae6.jpg...\n", "Copying gs://detectmysetup/train/f46ad0d5c29ce267.jpg...\n", "Copying gs://detectmysetup/train/f47c270cc01357af.jpg...\n", "Copying gs://detectmysetup/train/f487abe23c91784c.jpg...\n", "Copying gs://detectmysetup/train/f4a724f336027a6d.jpg...\n", "Copying gs://detectmysetup/train/f4abdbb0eded11e7.jpg...\n", "Copying gs://detectmysetup/train/f4b1c975a462deb3.jpg...\n", "Copying gs://detectmysetup/train/f4bf9e8b829ce587.jpg...\n", "Copying gs://detectmysetup/train/f4d8f204e95542cc.jpg...\n", "Copying gs://detectmysetup/train/f4db9e76af057b4d.jpg...\n", "Copying gs://detectmysetup/train/f4f60ff32e21ca0b.jpg...\n", "Copying gs://detectmysetup/train/f50898473a90915f.jpg...\n", "Copying gs://detectmysetup/train/f517300fb77bc1f5.jpg...\n", "Copying gs://detectmysetup/train/f525cca220281453.jpg...\n", "Copying gs://detectmysetup/train/f53dc62bf4c46e18.jpg...\n", "Copying gs://detectmysetup/train/f554514bcc5f255d.jpg...\n", "Copying gs://detectmysetup/train/f543944aad86e29b.jpg...\n", "Copying gs://detectmysetup/train/f55a3df2595db89d.jpg...\n", "Copying gs://detectmysetup/train/f561e2f8d1c774e3.jpg...\n", "Copying gs://detectmysetup/train/f563b95c40cee73a.jpg...\n", "Copying gs://detectmysetup/train/f565e0190f82dcac.jpg...\n", "Copying gs://detectmysetup/train/f5764ac01760c135.jpg...\n", "Copying gs://detectmysetup/train/f5bf39f00b542e07.jpg...\n", "Copying gs://detectmysetup/train/f5c1edaed7c9742e.jpg...\n", "Copying gs://detectmysetup/train/f5c31994219cb487.jpg...\n", "Copying gs://detectmysetup/train/f5c34d291b3b4369.jpg...\n", "Copying gs://detectmysetup/train/f5dfc76fd8a40167.jpg...\n", "Copying gs://detectmysetup/train/f5edb4014a8ff413.jpg...\n", "Copying gs://detectmysetup/train/f5fe35f17fdd0c79.jpg...\n", "Copying gs://detectmysetup/train/f61fd0b27706d88b.jpg...\n", "Copying gs://detectmysetup/train/f61dc24f2b7dc00d.jpg...\n", "Copying gs://detectmysetup/train/f61380743d7c633d.jpg...\n", "Copying gs://detectmysetup/train/f627a10aea2bd594.jpg...\n", "Copying gs://detectmysetup/train/f6309ed91b6f82e1.jpg...\n", "Copying gs://detectmysetup/train/f64752b56e01677c.jpg...\n", "Copying gs://detectmysetup/train/f649a6e9825f29c9.jpg...\n", "Copying gs://detectmysetup/train/f659358601042057.jpg...\n", "Copying gs://detectmysetup/train/f65d3e0708e5ae08.jpg...\n", "Copying gs://detectmysetup/train/f669d8ec5762d296.jpg...\n", "Copying gs://detectmysetup/train/f67db5ff6cd89a9e.jpg...\n", "Copying gs://detectmysetup/train/f68d7cec088d4cd7.jpg...\n", "Copying gs://detectmysetup/train/f66f3df52384c8e5.jpg...\n", "Copying gs://detectmysetup/train/f6a10be9044eb0b0.jpg...\n", "Copying gs://detectmysetup/train/f6a4e0183b1c2df6.jpg...\n", "Copying gs://detectmysetup/train/f6b66a0f18d982a6.jpg...\n", "Copying gs://detectmysetup/train/f6d0a75be7449700.jpg...\n", "Copying gs://detectmysetup/train/f6ef31e4c312cee6.jpg...\n", "Copying gs://detectmysetup/train/f6f6274314d6ac53.jpg...\n", "Copying gs://detectmysetup/train/f70977818a467270.jpg...\n", "Copying gs://detectmysetup/train/f70bd40d5a93e46c.jpg...\n", "Copying gs://detectmysetup/train/f70e2a006c66c6c1.jpg...\n", "Copying gs://detectmysetup/train/f724616a2ab03215.jpg...\n", "Copying gs://detectmysetup/train/f73c71befd7e8df5.jpg...\n", "Copying gs://detectmysetup/train/f78bf875ca046a2c.jpg...\n", "Copying gs://detectmysetup/train/f79f47c64f249bd5.jpg...\n", "Copying gs://detectmysetup/train/f7c245a34b08bbfa.jpg...\n", "Copying gs://detectmysetup/train/f7c5a2a55e2aa817.jpg...\n", "Copying gs://detectmysetup/train/f7c94dde2af6ae61.jpg...\n", "Copying gs://detectmysetup/train/f7d9d24f010fe533.jpg...\n", "Copying gs://detectmysetup/train/f7c7057842680502.jpg...\n", "Copying gs://detectmysetup/train/f7ffa7b731fe50fa.jpg...\n", "Copying gs://detectmysetup/train/f7f0015ef3cd3d3a.jpg...\n", "Copying gs://detectmysetup/train/f80bf3209be74934.jpg...\n", "Copying gs://detectmysetup/train/f8330c8f496b5ba8.jpg...\n", "Copying gs://detectmysetup/train/f865f71885dc7144.jpg...\n", "Copying gs://detectmysetup/train/f86c658714454b2c.jpg...\n", "Copying gs://detectmysetup/train/f86f014f0e9ccf5b.jpg...\n", "Copying gs://detectmysetup/train/f880944faaad4da5.jpg...\n", "Copying gs://detectmysetup/train/f885e93d19dd1a74.jpg...\n", "Copying gs://detectmysetup/train/f8a44b4542b09d99.jpg...\n", "Copying gs://detectmysetup/train/f8b68c7ed31c40b8.jpg...\n", "Copying gs://detectmysetup/train/f8b23a503b546c3f.jpg...\n", "Copying gs://detectmysetup/train/f8c26a0e3e5caa30.jpg...\n", "Copying gs://detectmysetup/train/f8da4a8e60145f3d.jpg...\n", "Copying gs://detectmysetup/train/f8dac3b3da07335e.jpg...\n", "Copying gs://detectmysetup/train/f8ebd5008eab7db0.jpg...\n", "Copying gs://detectmysetup/train/f8ecd6e35735f727.jpg...\n", "Copying gs://detectmysetup/train/f8f80f6dc373461d.jpg...\n", "Copying gs://detectmysetup/train/f901131b85d3142a.jpg...\n", "Copying gs://detectmysetup/train/f902293871532709.jpg...\n", "Copying gs://detectmysetup/train/f9075c33f34c7280.jpg...\n", "Copying gs://detectmysetup/train/f922e976c7011d08.jpg...\n", "Copying gs://detectmysetup/train/f931a3825e5e02f9.jpg...\n", "Copying gs://detectmysetup/train/f952446cae6d92fd.jpg...\n", "Copying gs://detectmysetup/train/f94bd144c85cc87f.jpg...\n", "Copying gs://detectmysetup/train/f9619a0fe2f6783a.jpg...\n", "Copying gs://detectmysetup/train/f98328e43ed89111.jpg...\n", "Copying gs://detectmysetup/train/f99256266cba5f2d.jpg...\n", "Copying gs://detectmysetup/train/f9ae553bae637856.jpg...\n", "Copying gs://detectmysetup/train/f9c067bd9907fab1.jpg...\n", "Copying gs://detectmysetup/train/f9c6fff205ae88be.jpg...\n", "Copying gs://detectmysetup/train/f9d070a3cd3edc99.jpg...\n", "Copying gs://detectmysetup/train/f9d5e00c0ed6e88b.jpg...\n", "Copying gs://detectmysetup/train/f9df683f722c4dc4.jpg...\n", "Copying gs://detectmysetup/train/f9d7a94d381702fe.jpg...\n", "Copying gs://detectmysetup/train/f9e6bd81405e6109.jpg...\n", "Copying gs://detectmysetup/train/f9ec731c7437c62c.jpg...\n", "Copying gs://detectmysetup/train/f9edaadb37296795.jpg...\n", "Copying gs://detectmysetup/train/f9f9da9bc6cc97cd.jpg...\n", "Copying gs://detectmysetup/train/f9fdf9477b47e88c.jpg...\n", "Copying gs://detectmysetup/train/fa05f74193f43651.jpg...\n", "Copying gs://detectmysetup/train/fa19c21672815ebe.jpg...\n", "Copying gs://detectmysetup/train/fa1c4a72426515a3.jpg...\n", "Copying gs://detectmysetup/train/fa7030dc37b6ecb1.jpg...\n", "Copying gs://detectmysetup/train/fa773150d243e9a7.jpg...\n", "Copying gs://detectmysetup/train/fa90c0a4c9d13db3.jpg...\n", "Copying gs://detectmysetup/train/fac31804bdaf6dc1.jpg...\n", "Copying gs://detectmysetup/train/fac5ff7993b6516c.jpg...\n", "Copying gs://detectmysetup/train/fac877c1b9888f53.jpg...\n", "Copying gs://detectmysetup/train/fadbd521114e86aa.jpg...\n", "Copying gs://detectmysetup/train/fb279816fd072d99.jpg...\n", "Copying gs://detectmysetup/train/fb2ba14dda63e9a7.jpg...\n", "Copying gs://detectmysetup/train/fb2ccf365a356bc9.jpg...\n", "Copying gs://detectmysetup/train/fb3150c8b56297c3.jpg...\n", "Copying gs://detectmysetup/train/fb31d558e5fbe12b.jpg...\n", "Copying gs://detectmysetup/train/fb3e07502ba4dd9b.jpg...\n", "Copying gs://detectmysetup/train/fb416e99450f22d7.jpg...\n", "Copying gs://detectmysetup/train/fb489c4faa93c3f4.jpg...\n", "Copying gs://detectmysetup/train/fb54b83a1d302f0c.jpg...\n", "Copying gs://detectmysetup/train/fb6c9303f7d6b275.jpg...\n", "Copying gs://detectmysetup/train/fb9103c108825998.jpg...\n", "Copying gs://detectmysetup/train/fbb15a51d6a3746c.jpg...\n", "Copying gs://detectmysetup/train/fbc72c0cd49c76d3.jpg...\n", "Copying gs://detectmysetup/train/fbca16dd1d6d6b00.jpg...\n", "Copying gs://detectmysetup/train/fbd0358b7c6a441a.jpg...\n", "Copying gs://detectmysetup/train/fbdbe8276b9282c3.jpg...\n", "Copying gs://detectmysetup/train/fbdca67cd0bad2f6.jpg...\n", "Copying gs://detectmysetup/train/fbde181e6a6bf2a6.jpg...\n", "Copying gs://detectmysetup/train/fbe552bf713f0854.jpg...\n", "Copying gs://detectmysetup/train/fbe164842603ca6b.jpg...\n", "Copying gs://detectmysetup/train/fbf9676b6670357f.jpg...\n", "Copying gs://detectmysetup/train/fc09bb959a7777b5.jpg...\n", "Copying gs://detectmysetup/train/fc301d5e17a251e7.jpg...\n", "Copying gs://detectmysetup/train/fc399f6c4253238f.jpg...\n", "Copying gs://detectmysetup/train/fc3c2b54a8ddeb38.jpg...\n", "Copying gs://detectmysetup/train/fc43dad4844e79db.jpg...\n", "Copying gs://detectmysetup/train/fc9dfaa620a44999.jpg...\n", "Copying gs://detectmysetup/train/fc956427ff4e33b5.jpg...\n", "Copying gs://detectmysetup/train/fd48d98b4671b9da.jpg...\n", "Copying gs://detectmysetup/train/fcb2e79426180288.jpg...\n", "Copying gs://detectmysetup/train/fcb6b47dfbb5186b.jpg...\n", "Copying gs://detectmysetup/train/fd5435b15078a113.jpg...\n", "Copying gs://detectmysetup/train/fd5b26338cfcc852.jpg...\n", "Copying gs://detectmysetup/train/fd6fcb82224d0df0.jpg...\n", "Copying gs://detectmysetup/train/fd7612f91c81ea14.jpg...\n", "Copying gs://detectmysetup/train/fd77415af6763eda.jpg...\n", "Copying gs://detectmysetup/train/fd83a953dadcb52f.jpg...\n", "Copying gs://detectmysetup/train/fd854489aeb391ec.jpg...\n", "Copying gs://detectmysetup/train/fd8a22433a42cd43.jpg...\n", "Copying gs://detectmysetup/train/fd8c39df38df3651.jpg...\n", "Copying gs://detectmysetup/train/fd94dd78770151c4.jpg...\n", "Copying gs://detectmysetup/train/fda4a53f9693b906.jpg...\n", "Copying gs://detectmysetup/train/fdc695de59a8b2b6.jpg...\n", "Copying gs://detectmysetup/train/fdceb293b9c2dbf0.jpg...\n", "Copying gs://detectmysetup/train/fddd98956e7a8f1e.jpg...\n", "Copying gs://detectmysetup/train/fde9bca6a1db38f1.jpg...\n", "Copying gs://detectmysetup/train/fdea974249c2cf67.jpg...\n", "Copying gs://detectmysetup/train/fdf0e86770e9ed92.jpg...\n", "Copying gs://detectmysetup/train/fe24d53d88abaaa9.jpg...\n", "Copying gs://detectmysetup/train/fe30a07d9b8107cc.jpg...\n", "Copying gs://detectmysetup/train/fe5805a0890d49c0.jpg...\n", "Copying gs://detectmysetup/train/fe5e6d4c222e6635.jpg...\n", "Copying gs://detectmysetup/train/fe78f4ef0bfd7a6d.jpg...\n", "Copying gs://detectmysetup/train/fe8896e42ccb9bb9.jpg...\n", "Copying gs://detectmysetup/train/fe89944b86cb79f9.jpg...\n", "Copying gs://detectmysetup/train/fe92eb70e9390621.jpg...\n", "Copying gs://detectmysetup/train/feb6114d6d74e1fa.jpg...\n", "Copying gs://detectmysetup/train/fecdddf4505a9f5b.jpg...\n", "Copying gs://detectmysetup/train/fef5383d105bb619.jpg...\n", "Copying gs://detectmysetup/train/ff1085f5b0ba65cd.jpg...\n", "Copying gs://detectmysetup/train/ff2d67e279e2286c.jpg...\n", "Copying gs://detectmysetup/train/ff39b99aabdf831c.jpg...\n", "Copying gs://detectmysetup/train/ff4034a6bd5d009d.jpg...\n", "Copying gs://detectmysetup/train/ff6b6600f8791d86.jpg...\n", "Copying gs://detectmysetup/train/ff70d051803d5c20.jpg...\n", "Copying gs://detectmysetup/train/ff7e4c5ec335daa3.jpg...\n", "Copying gs://detectmysetup/train/ff7a585ace58e64c.jpg...\n", "Copying gs://detectmysetup/train/ff8220eefebd3f46.jpg...\n", "Copying gs://detectmysetup/train/ffb14f1e73c07038.jpg...\n", "Copying gs://detectmysetup/train/ffd6aa9288085a8f.jpg...\n", "Copying gs://detectmysetup/train/ffd7e79d4cb18e98.jpg...\n", "Copying gs://detectmysetup/train/ffe1bfb06dd60d55.jpg...\n", "Copying gs://detectmysetup/train/ffe4ab4dc71ccaa3.jpg...\n", "Copying gs://detectmysetup/train/ffe70598300f2f40.jpg...\n", "- [6.5k/6.5k files][ 1.5 GiB/ 1.5 GiB] 100% Done 14.0 MiB/s ETA 00:00:00 \n", "Operation completed over 6.5k objects/1.5 GiB. \n", "Copying gs://detectmysetup/validation/007f71665b0812a7.jpg...\n", "Copying gs://detectmysetup/validation/00a36f96e31731c4.jpg...\n", "Copying gs://detectmysetup/validation/06bc9b828cedce1c.jpg...\n", "Copying gs://detectmysetup/validation/04d357176397fb31.jpg...\n", "Copying gs://detectmysetup/validation/0421a6e230527185.jpg...\n", "Copying gs://detectmysetup/validation/09ea349ee555b61d.jpg...\n", "Copying gs://detectmysetup/validation/0b9aec984321bf53.jpg...\n", "Copying gs://detectmysetup/validation/0c295283d2a46bd7.jpg...\n", "Copying gs://detectmysetup/validation/06349831cbcb8f2c.jpg...\n", "Copying gs://detectmysetup/validation/0ccdb16a34d67aaa.jpg...\n", "Copying gs://detectmysetup/validation/0d03c760fe72ad6e.jpg...\n", "Copying gs://detectmysetup/validation/0e09767b7dab9237.jpg...\n", "Copying gs://detectmysetup/validation/10cae64b8b77b511.jpg...\n", "Copying gs://detectmysetup/validation/10651d2876cd50d8.jpg...\n", "Copying gs://detectmysetup/validation/11aeb618075ac6d7.jpg...\n", "Copying gs://detectmysetup/validation/124d86a6d3953a13.jpg...\n", "Copying gs://detectmysetup/validation/128f92487d754a0c.jpg...\n", "Copying gs://detectmysetup/validation/14be91e9e9170798.jpg...\n", "Copying gs://detectmysetup/validation/14dab1085d21f94a.jpg...\n", "Copying gs://detectmysetup/validation/1654c86093ada840.jpg...\n", "Copying gs://detectmysetup/validation/16bb316c7c76b5a5.jpg...\n", "Copying gs://detectmysetup/validation/1be0a6a7ac54abe7.jpg...\n", "Copying gs://detectmysetup/validation/1735d6aa0d62cb00.jpg...\n", "Copying gs://detectmysetup/validation/1968c9cbabd1ebbd.jpg...\n", "Copying gs://detectmysetup/validation/19c9b309c8709868.jpg...\n", "Copying gs://detectmysetup/validation/1ca7214feb50012a.jpg...\n", "Copying gs://detectmysetup/validation/1cc51804460299fb.jpg...\n", "Copying gs://detectmysetup/validation/1e07b2d0cdc10135.jpg...\n", "Copying gs://detectmysetup/validation/1e5434d089338ca9.jpg...\n", "Copying gs://detectmysetup/validation/1f5cf6e96f0e0690.jpg...\n", "Copying gs://detectmysetup/validation/1f8d2f13a6cd1206.jpg...\n", "Copying gs://detectmysetup/validation/200907829e4fbe95.jpg...\n", "Copying gs://detectmysetup/validation/20d72fbd291c1f84.jpg...\n", "Copying gs://detectmysetup/validation/21269201fec8c14b.jpg...\n", "Copying gs://detectmysetup/validation/229537fe8e9c5396.jpg...\n", "Copying gs://detectmysetup/validation/2499021935fff88f.jpg...\n", "Copying gs://detectmysetup/validation/24e4a46f7ce04aa6.jpg...\n", "Copying gs://detectmysetup/validation/282ffaca54c71954.jpg...\n", "Copying gs://detectmysetup/validation/2908288f0c371f1f.jpg...\n", "Copying gs://detectmysetup/validation/291f50e909f7872e.jpg...\n", "Copying gs://detectmysetup/validation/2b4dbd4b663d87ea.jpg...\n", "Copying gs://detectmysetup/validation/2c9c2d81fff100a2.jpg...\n", "Copying gs://detectmysetup/validation/2ca370641fe7394a.jpg...\n", "Copying gs://detectmysetup/validation/2dd05a7ffa09c95d.jpg...\n", "Copying gs://detectmysetup/validation/2eb3612f9ad483d9.jpg...\n", "Copying gs://detectmysetup/validation/315977d3a6ee6802.jpg...\n", "Copying gs://detectmysetup/validation/32bf2344be92e972.jpg...\n", "Copying gs://detectmysetup/validation/330cc7e286c669d7.jpg...\n", "Copying gs://detectmysetup/validation/3567f456130c4ec2.jpg...\n", "Copying gs://detectmysetup/validation/362259b0f6a479ab.jpg...\n", "Copying gs://detectmysetup/validation/36c17bace8e698ff.jpg...\n", "Copying gs://detectmysetup/validation/36f8e72cc0c8a851.jpg...\n", "Copying gs://detectmysetup/validation/373c26ce480f8d29.jpg...\n", "Copying gs://detectmysetup/validation/37dae6b07dce4279.jpg...\n", "Copying gs://detectmysetup/validation/398328305b2ed3d7.jpg...\n", "Copying gs://detectmysetup/validation/3f67ddce3448e74c.jpg...\n", "Copying gs://detectmysetup/validation/3bbc38b3beafe343.jpg...\n", "Copying gs://detectmysetup/validation/3fe67f409f9db441.jpg...\n", "Copying gs://detectmysetup/validation/3fefc0feb476ed7e.jpg...\n", "Copying gs://detectmysetup/validation/4342a7037ea1bdea.jpg...\n", "Copying gs://detectmysetup/validation/435d906eb2bbc878.jpg...\n", "Copying gs://detectmysetup/validation/403656193dc35cad.jpg...\n", "Copying gs://detectmysetup/validation/44615bece0a97866.jpg...\n", "Copying gs://detectmysetup/validation/45156879c5dac37d.jpg...\n", "Copying gs://detectmysetup/validation/45a98c6eb828a0c9.jpg...\n", "Copying gs://detectmysetup/validation/46afaf945caee54c.jpg...\n", "Copying gs://detectmysetup/validation/46b3ee69cede9f7c.jpg...\n", "Copying gs://detectmysetup/validation/46da83ccb945db5a.jpg...\n", "Copying gs://detectmysetup/validation/4706d4cbac65389a.jpg...\n", "Copying gs://detectmysetup/validation/484dd70be82c3092.jpg...\n", "Copying gs://detectmysetup/validation/4948a8d435d70f7d.jpg...\n", "Copying gs://detectmysetup/validation/48942b0a3a3665e8.jpg...\n", "Copying gs://detectmysetup/validation/4bd22ced20a97685.jpg...\n", "Copying gs://detectmysetup/validation/4be14bf34cb9607f.jpg...\n", "Copying gs://detectmysetup/validation/4e0277825c80fed8.jpg...\n", "Copying gs://detectmysetup/validation/4e5a06da84daf5d8.jpg...\n", "Copying gs://detectmysetup/validation/4ee0c8713d077958.jpg...\n", "Copying gs://detectmysetup/validation/4ef724f847299f70.jpg...\n", "Copying gs://detectmysetup/validation/507d5beadbfbb1b4.jpg...\n", "Copying gs://detectmysetup/validation/4fe2fb3816b91c44.jpg...\n", "Copying gs://detectmysetup/validation/5526ba96416aab28.jpg...\n", "Copying gs://detectmysetup/validation/55709f00b158ee38.jpg...\n", "Copying gs://detectmysetup/validation/55de29cb9397635f.jpg...\n", "Copying gs://detectmysetup/validation/579a1a7868334127.jpg...\n", "Copying gs://detectmysetup/validation/5907a0344543cd13.jpg...\n", "Copying gs://detectmysetup/validation/595adc227d811554.jpg...\n", "Copying gs://detectmysetup/validation/5bcc87c13b42e844.jpg...\n", "Copying gs://detectmysetup/validation/5db1bf4fd366b073.jpg...\n", "Copying gs://detectmysetup/validation/5feb53a3d3a241a8.jpg...\n", "Copying gs://detectmysetup/validation/61ad317ddcfdb148.jpg...\n", "Copying gs://detectmysetup/validation/62596926e01e5398.jpg...\n", "Copying gs://detectmysetup/validation/6261fb5e6bc208be.jpg...\n", "Copying gs://detectmysetup/validation/62e2f86f8228662b.jpg...\n", "Copying gs://detectmysetup/validation/6425dde0e29af70c.jpg...\n", "Copying gs://detectmysetup/validation/6444a4df5169fd8a.jpg...\n", "Copying gs://detectmysetup/validation/6463145caf94b8a6.jpg...\n", "Copying gs://detectmysetup/validation/683307758eb4fd7c.jpg...\n", "Copying gs://detectmysetup/validation/66dcab823ea72a7c.jpg...\n", "Copying gs://detectmysetup/validation/695b4fc14d56e32c.jpg...\n", "Copying gs://detectmysetup/validation/6cb95fd90d7c2bac.jpg...\n", "Copying gs://detectmysetup/validation/6d8134e58999658b.jpg...\n", "Copying gs://detectmysetup/validation/6e2ea48a2474adf1.jpg...\n", "Copying gs://detectmysetup/validation/6ee72e953b30a67b.jpg...\n", "Copying gs://detectmysetup/validation/7067a5ad51482da6.jpg...\n", "Copying gs://detectmysetup/validation/71037fe3d8da73aa.jpg...\n", "Copying gs://detectmysetup/validation/7408fef212a5d3bc.jpg...\n", "Copying gs://detectmysetup/validation/743dbcab02a9971e.jpg...\n", "Copying gs://detectmysetup/validation/749bd801be2b5be7.jpg...\n", "Copying gs://detectmysetup/validation/74d9c3ea2244fe8f.jpg...\n", "Copying gs://detectmysetup/validation/74fe00dcf307c42e.jpg...\n", "Copying gs://detectmysetup/validation/766de0978874e4ad.jpg...\n", "Copying gs://detectmysetup/validation/768b822518ac6b19.jpg...\n", "Copying gs://detectmysetup/validation/76d8919159c2a5c5.jpg...\n", "Copying gs://detectmysetup/validation/7716a0fa54a57081.jpg...\n", "Copying gs://detectmysetup/validation/7825f9ab4054ad3d.jpg...\n", "Copying gs://detectmysetup/validation/79ca3f2ab67af190.jpg...\n", "Copying gs://detectmysetup/validation/7b4e6ecafed7bb6a.jpg...\n", "Copying gs://detectmysetup/validation/7c485a7dfe958934.jpg...\n", "Copying gs://detectmysetup/validation/7e9ee31518e08c93.jpg...\n", "Copying gs://detectmysetup/validation/7f23e1de7320aebd.jpg...\n", "Copying gs://detectmysetup/validation/7ec82241cc6bd4cd.jpg...\n", "Copying gs://detectmysetup/validation/80c164df03bf6770.jpg...\n", "Copying gs://detectmysetup/validation/82e651da7cf386ae.jpg...\n", "Copying gs://detectmysetup/validation/82ec287514404742.jpg...\n", "Copying gs://detectmysetup/validation/83e99dc9e2f8a70c.jpg...\n", "Copying gs://detectmysetup/validation/843b65da2d2f213e.jpg...\n", "Copying gs://detectmysetup/validation/84603b2dba0e4eb3.jpg...\n", "Copying gs://detectmysetup/validation/8509d5c40c40b78a.jpg...\n", "Copying gs://detectmysetup/validation/85788b2e228e3deb.jpg...\n", "Copying gs://detectmysetup/validation/862c5b6b0a8b2437.jpg...\n", "Copying gs://detectmysetup/validation/86fa28d162ee13dc.jpg...\n", "Copying gs://detectmysetup/validation/88269e4e82af0450.jpg...\n", "Copying gs://detectmysetup/validation/886236e08b9b968c.jpg...\n", "Copying gs://detectmysetup/validation/891eb3db70a678e8.jpg...\n", "Copying gs://detectmysetup/validation/894e4bc127342011.jpg...\n", "Copying gs://detectmysetup/validation/8b031007bf62947a.jpg...\n", "Copying gs://detectmysetup/validation/8b50bca740622ce6.jpg...\n", "Copying gs://detectmysetup/validation/8b9281a4efbab37c.jpg...\n", "Copying gs://detectmysetup/validation/8d0b1e22cc02c96a.jpg...\n", "Copying gs://detectmysetup/validation/8d7554ec41843eff.jpg...\n", "Copying gs://detectmysetup/validation/8df0f79c1be144d5.jpg...\n", "Copying gs://detectmysetup/validation/8dfbdde8cf560c2e.jpg...\n", "Copying gs://detectmysetup/validation/8ea12aeab2cb51a8.jpg...\n", "Copying gs://detectmysetup/validation/8f2e423a486c893b.jpg...\n", "Copying gs://detectmysetup/validation/9062afa58c7af78a.jpg...\n", "Copying gs://detectmysetup/validation/90cb3140198a4085.jpg...\n", "Copying gs://detectmysetup/validation/90ed9047aac9d579.jpg...\n", "Copying gs://detectmysetup/validation/91050cbd94f33e90.jpg...\n", "Copying gs://detectmysetup/validation/9179c65d79619957.jpg...\n", "Copying gs://detectmysetup/validation/91818c2bb02e43cf.jpg...\n", "Copying gs://detectmysetup/validation/91becd950a868fca.jpg...\n", "Copying gs://detectmysetup/validation/91c4e85dd0511f1d.jpg...\n", "Copying gs://detectmysetup/validation/91c98f28c55fa147.jpg...\n", "Copying gs://detectmysetup/validation/924d4695abfca81a.jpg...\n", "Copying gs://detectmysetup/validation/935ddd7147973bbe.jpg...\n", "Copying gs://detectmysetup/validation/933f3be3023c5e68.jpg...\n", "Copying gs://detectmysetup/validation/940b789f19f4b581.jpg...\n", "Copying gs://detectmysetup/validation/945782e585e04e0e.jpg...\n", "Copying gs://detectmysetup/validation/95888085645ae346.jpg...\n", "Copying gs://detectmysetup/validation/95ecc53ab49fea3c.jpg...\n", "Copying gs://detectmysetup/validation/96dac0044fbddc36.jpg...\n", "Copying gs://detectmysetup/validation/970ca679108f27ed.jpg...\n", "Copying gs://detectmysetup/validation/98f25c64461ba4a2.jpg...\n", "Copying gs://detectmysetup/validation/9b7b64ac71066255.jpg...\n", "Copying gs://detectmysetup/validation/9e2c53451ec7bbc0.jpg...\n", "Copying gs://detectmysetup/validation/9cb21f17051b1174.jpg...\n", "Copying gs://detectmysetup/validation/a28daae055d8d934.jpg...\n", "Copying gs://detectmysetup/validation/9fbfc457317811cf.jpg...\n", "Copying gs://detectmysetup/validation/a3196fa577444985.jpg...\n", "Copying gs://detectmysetup/validation/a350fd1b187d4244.jpg...\n", "Copying gs://detectmysetup/validation/a351fe3136692dcb.jpg...\n", "Copying gs://detectmysetup/validation/a3a73afe097efbfa.jpg...\n", "Copying gs://detectmysetup/validation/a41f62624d4ce3b3.jpg...\n", "Copying gs://detectmysetup/validation/a4c23a3629f31cd7.jpg...\n", "Copying gs://detectmysetup/validation/a5d472f1030b942f.jpg...\n", "Copying gs://detectmysetup/validation/a6cd0e29296069a8.jpg...\n", "Copying gs://detectmysetup/validation/a75bd3ec4cd51c51.jpg...\n", "Copying gs://detectmysetup/validation/a65e9ea046327e8c.jpg...\n", "Copying gs://detectmysetup/validation/a7e5d2727af4299d.jpg...\n", "Copying gs://detectmysetup/validation/a88cf9722f76deeb.jpg...\n", "Copying gs://detectmysetup/validation/a8b164235b631065.jpg...\n", "Copying gs://detectmysetup/validation/a90c22661fe961ff.jpg...\n", "Copying gs://detectmysetup/validation/a91d26610c21121e.jpg...\n", "Copying gs://detectmysetup/validation/aa635959507530eb.jpg...\n", "Copying gs://detectmysetup/validation/aaca2745929bc274.jpg...\n", "Copying gs://detectmysetup/validation/abc86960879d2e09.jpg...\n", "Copying gs://detectmysetup/validation/ad7e219243f39ef4.jpg...\n", "Copying gs://detectmysetup/validation/aebbe4f246bcf0ee.jpg...\n", "Copying gs://detectmysetup/validation/afb9e722b91f70da.jpg...\n", "Copying gs://detectmysetup/validation/b0a6eb74f9722e8b.jpg...\n", "Copying gs://detectmysetup/validation/afe96a54fe0610cd.jpg...\n", "Copying gs://detectmysetup/validation/b2539ea9783fdf47.jpg...\n", "Copying gs://detectmysetup/validation/b18f7b35bdb3c8d9.jpg...\n", "Copying gs://detectmysetup/validation/b1b39e439466ed24.jpg...\n", "Copying gs://detectmysetup/validation/b1a6a754a6776670.jpg...\n", "Copying gs://detectmysetup/validation/b432fc0f7af3a37f.jpg...\n", "Copying gs://detectmysetup/validation/b461eb437bf426b3.jpg...\n", "Copying gs://detectmysetup/validation/b4e3257187e72e00.jpg...\n", "Copying gs://detectmysetup/validation/b5e14117f82aba8d.jpg...\n", "Copying gs://detectmysetup/validation/b6a2b7acf6bd781c.jpg...\n", "Copying gs://detectmysetup/validation/b6ab01e24cac855b.jpg...\n", "Copying gs://detectmysetup/validation/b7640a870db80373.jpg...\n", "Copying gs://detectmysetup/validation/b79ee19cc605140a.jpg...\n", "Copying gs://detectmysetup/validation/b7f6b21159648814.jpg...\n", "Copying gs://detectmysetup/validation/ba246c102bf13a92.jpg...\n", "Copying gs://detectmysetup/validation/bb1eb0727b1b8d8e.jpg...\n", "Copying gs://detectmysetup/validation/bc052e81ba63c54b.jpg...\n", "Copying gs://detectmysetup/validation/be08b7bb9582146e.jpg...\n", "Copying gs://detectmysetup/validation/be53a7a140cb5c46.jpg...\n", "Copying gs://detectmysetup/validation/bfddb520de3c096e.jpg...\n", "Copying gs://detectmysetup/validation/bfe4e92a6abafe46.jpg...\n", "Copying gs://detectmysetup/validation/c11ae79e8ebe5a1e.jpg...\n", "Copying gs://detectmysetup/validation/c18aa62555d003a8.jpg...\n", "Copying gs://detectmysetup/validation/c3cac94dd6022bc5.jpg...\n", "Copying gs://detectmysetup/validation/c3f6cf10f28d265e.jpg...\n", "Copying gs://detectmysetup/validation/c3fd5f3c65c29839.jpg...\n", "Copying gs://detectmysetup/validation/c52c06b1667d3458.jpg...\n", "Copying gs://detectmysetup/validation/c65bef1decbceb5b.jpg...\n", "Copying gs://detectmysetup/validation/c95d9c2d3db9c72c.jpg...\n", "Copying gs://detectmysetup/validation/c9203457ab97042a.jpg...\n", "Copying gs://detectmysetup/validation/c9e88a9ad1e7af10.jpg...\n", "Copying gs://detectmysetup/validation/caede041e92b55c7.jpg...\n", "Copying gs://detectmysetup/validation/cbc8443a05cf29cc.jpg...\n", "Copying gs://detectmysetup/validation/cf5a7db2da4df56c.jpg...\n", "Copying gs://detectmysetup/validation/cfbd0ea8d3acc635.jpg...\n", "Copying gs://detectmysetup/validation/cf97377cb331bb4d.jpg...\n", "Copying gs://detectmysetup/validation/d17fd7c2e2b95222.jpg...\n", "Copying gs://detectmysetup/validation/d0f4244d04835dc4.jpg...\n", "Copying gs://detectmysetup/validation/d3477da8d26d5171.jpg...\n", "Copying gs://detectmysetup/validation/d38e1365450ab89e.jpg...\n", "Copying gs://detectmysetup/validation/d3ecef711821a6dc.jpg...\n", "Copying gs://detectmysetup/validation/d419f0ef5d53ee43.jpg...\n", "Copying gs://detectmysetup/validation/d4ce0cf3c7854b99.jpg...\n", "Copying gs://detectmysetup/validation/d540c2a75cbb78ea.jpg...\n", "Copying gs://detectmysetup/validation/d61bb3d416016a56.jpg...\n", "Copying gs://detectmysetup/validation/d62f69c3641002c0.jpg...\n", "Copying gs://detectmysetup/validation/d631e3098d7ae780.jpg...\n", "Copying gs://detectmysetup/validation/d7d770f170f8f333.jpg...\n", "Copying gs://detectmysetup/validation/d652bb4ec6b3a47f.jpg...\n", "Copying gs://detectmysetup/validation/d8241d4c97b7bdc7.jpg...\n", "Copying gs://detectmysetup/validation/d8da33b1f6957b03.jpg...\n", "Copying gs://detectmysetup/validation/da7113473d488888.jpg...\n", "Copying gs://detectmysetup/validation/dab2223483fd7b34.jpg...\n", "Copying gs://detectmysetup/validation/dad58c8b0adc421e.jpg...\n", "Copying gs://detectmysetup/validation/db0499337b67676d.jpg...\n", "Copying gs://detectmysetup/validation/db3f0b47b290daa0.jpg...\n", "Copying gs://detectmysetup/validation/db46e0a40b88e6ec.jpg...\n", "Copying gs://detectmysetup/validation/dbcf1866b9c54b9c.jpg...\n", "Copying gs://detectmysetup/validation/dc55cb2414e8c7ce.jpg...\n", "Copying gs://detectmysetup/validation/dd0b625833738eb3.jpg...\n", "Copying gs://detectmysetup/validation/defb4911c2df3880.jpg...\n", "Copying gs://detectmysetup/validation/e0aa41e2ede3de7d.jpg...\n", "Copying gs://detectmysetup/validation/e0e3c6b870f8c213.jpg...\n", "Copying gs://detectmysetup/validation/e0fd5aedea8ec7d3.jpg...\n", "Copying gs://detectmysetup/validation/e18f8379d3e272b5.jpg...\n", "Copying gs://detectmysetup/validation/e2a1f26b82dcb59d.jpg...\n", "Copying gs://detectmysetup/validation/e3d9a16b0b22bb6f.jpg...\n", "Copying gs://detectmysetup/validation/e46c6bbaeea33716.jpg...\n", "Copying gs://detectmysetup/validation/e4de4f4143491a9d.jpg...\n", "Copying gs://detectmysetup/validation/e53baf3485c6f322.jpg...\n", "Copying gs://detectmysetup/validation/e828178b910ec083.jpg...\n", "Copying gs://detectmysetup/validation/e7bf630c163e9cbe.jpg...\n", "Copying gs://detectmysetup/validation/e8764046138cd63b.jpg...\n", "Copying gs://detectmysetup/validation/e916dd0b766b2f40.jpg...\n", "Copying gs://detectmysetup/validation/e918ca45aa73171c.jpg...\n", "Copying gs://detectmysetup/validation/e930f96788179c21.jpg...\n", "Copying gs://detectmysetup/validation/eb7cf78bc8d11803.jpg...\n", "Copying gs://detectmysetup/validation/ea6cf78e6100e813.jpg...\n", "Copying gs://detectmysetup/validation/eb86d7c511ddeb02.jpg...\n", "Copying gs://detectmysetup/validation/ec141bdfee0b4711.jpg...\n", "Copying gs://detectmysetup/validation/ed1d7928c9c2bf0d.jpg...\n", "Copying gs://detectmysetup/validation/eb99cee1f01b08ff.jpg...\n", "Copying gs://detectmysetup/validation/ed451f022b96c25d.jpg...\n", "Copying gs://detectmysetup/validation/ed4fcc1defe53f54.jpg...\n", "Copying gs://detectmysetup/validation/ed6fd1df89836efe.jpg...\n", "Copying gs://detectmysetup/validation/edffea5d9385acaa.jpg...\n", "Copying gs://detectmysetup/validation/ee3d2c89a8ff0ce4.jpg...\n", "Copying gs://detectmysetup/validation/ef9f0e8a7a132e04.jpg...\n", "Copying gs://detectmysetup/validation/f029612bd0b6e86c.jpg...\n", "Copying gs://detectmysetup/validation/f1135403e621e872.jpg...\n", "Copying gs://detectmysetup/validation/f23f43aee564b826.jpg...\n", "Copying gs://detectmysetup/validation/f2501faae64903a6.jpg...\n", "Copying gs://detectmysetup/validation/f3b046e9144b39e9.jpg...\n", "Copying gs://detectmysetup/validation/f4cf9dc875ce67d7.jpg...\n", "Copying gs://detectmysetup/validation/f59705f3f30f97b5.jpg...\n", "Copying gs://detectmysetup/validation/f5f77d3a50ea6e21.jpg...\n", "Copying gs://detectmysetup/validation/f701edcfc143e85a.jpg...\n", "Copying gs://detectmysetup/validation/f89ec0ec1738e399.jpg...\n", "Copying gs://detectmysetup/validation/f8ca4926b5b4ef8b.jpg...\n", "Copying gs://detectmysetup/validation/f9f131b83fec0d4e.jpg...\n", "Copying gs://detectmysetup/validation/fc086ef64001d714.jpg...\n", "Copying gs://detectmysetup/validation/fc7d75c5b3cf21f5.jpg...\n", "Copying gs://detectmysetup/validation/fce8194fab48c500.jpg...\n", "Copying gs://detectmysetup/validation/fe600639ac5f36c1.jpg...\n", "Copying gs://detectmysetup/validation/fdec7849a0a64567.jpg...\n", "Copying gs://detectmysetup/validation/fe67317504c74466.jpg...\n", "Copying gs://detectmysetup/validation/fe6a2debc2901252.jpg...\n", "Copying gs://detectmysetup/validation/fed5ef790d653fde.jpg...\n", "Copying gs://detectmysetup/validation/ff5e1a90137b3bf7.jpg...\n", "Copying gs://detectmysetup/validation/ff9d6b864d154460.jpg...\n", "Copying gs://detectmysetup/validation/fff3ce694bc02a09.jpg...\n", "/ [301/301 files][ 65.2 MiB/ 65.2 MiB] 100% Done \n", "Operation completed over 301 objects/65.2 MiB. \n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "8pZTRhlAfuVI", "colab_type": "text" }, "source": [ "#Preprocess Data" ] }, { "cell_type": "code", "metadata": { "id": "Wjt15sq3fb7a", "colab_type": "code", "colab": {} }, "source": [ "# Setup the paths for the training and validation data\n", "train_path = \"./sample_data/train/\"\n", "valid_path = \"./sample_data/validation/\"" ], "execution_count": 4, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "XE4iEH5_M25d", "colab_type": "code", "colab": {} }, "source": [ "# Define the target classes (sort in alphabetical so labels align later on)\n", "subset_classes = [\"Computer keyboard\",\"Computer monitor\",\"Computer mouse\",\"Lamp\",\"Laptop\",\"Microphone\"]" ], "execution_count": 5, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "pD1I08XMf8Ae", "colab_type": "code", "colab": {} }, "source": [ "def get_image_ids(image_folder=None):\n", " \"\"\"\n", " Explores a folder of images and gets their ID from their file name.\n", " Returns a list of all image ID's in image_folder.\n", " E.g. image_folder/608fda8c976e0ac.jpg -> [\"608fda8c976e0ac\"]\n", " \n", " Params\n", " ------\n", " image_folder (str): path to folder of images, e.g. \"../validation/\"\n", " \"\"\"\n", " return [os.path.splitext(img_name)[0] for img_name in os.listdir(image_folder) if img_name.endswith(\".jpg\")]" ], "execution_count": 6, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "88oothP8Zzhv", "colab_type": "code", "colab": {} }, "source": [ "# Make a function which formats a specific annotations csv based on what we're dealing with\n", "def format_annotations(image_folder, annotation_file, target_classes=None):\n", " \"\"\"\n", " Formats annotation_file based on images contained in image_folder.\n", " Will get all unique image IDs and make sure annotation_file\n", " only contains those (the target images).\n", " Adds meta-data to annotation_file such as class names and categories.\n", " If target_classes isn't None, the returned annotations will be filtered by this list.\n", " Note: image_folder and annotation_file should both be validation if working on\n", " validation set or both be training if working on training set.\n", " \n", " Params\n", " ------\n", " image_folder (str): path to folder of target images.\n", " annotation_file (str): path to annotation file of target images.\n", " target_classes (list), optional: a list of target classes you'd like to filter labels.\n", " \"\"\"\n", " # Get all image ids from target directory\n", " image_ids = get_image_ids(image_folder)\n", " \n", " # Setup annotation file and classnames\n", " annot_file = pd.read_csv(annotation_file)\n", " \n", " classes = pd.read_csv(\"class-descriptions-boxable.csv\",\n", " names=[\"LabelName\", \"ClassName\"])\n", "\n", " # Create classname column on annotations which converts label codes to string labels\n", " annot_file[\"ClassName\"] = annot_file[\"LabelName\"].map(classes.set_index(\"LabelName\")[\"ClassName\"])\n", " \n", " new = annot_file[\"ImageID\"].isin(image_ids)\n", "\n", " # Sort annot_file by \"ClassName\" for alphabetical labels (used with target_classes)\n", " annot_file.sort_values(by=[\"ClassName\"], inplace=True)\n", " \n", " # Make sure we only get the images we're concerned about\n", " if target_classes:\n", " annot_file = annot_file[annot_file[\"ImageID\"].isin(image_ids) & annot_file[\"ClassName\"].isin(target_classes)]\n", " else:\n", " annot_file = annot_file[annot_file[\"ImageID\"].isin(image_ids)]\n", "\n", " assert len(annot_file.ImageID.unique()) == len(image_ids), \"Label unique ImageIDs doesn't match target folder.\"\n", "\n", " # Add ClassID column, e.g. \"Laptop, Lamp\" -> 1, 2\n", " annot_file[\"ClassName\"] = pd.Categorical(annot_file[\"ClassName\"])\n", " annot_file[\"ClassID\"] = annot_file[\"ClassName\"].cat.codes\n", " \n", " return annot_file" ], "execution_count": 7, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "BX2fHIg_ZzaV", "colab_type": "code", "colab": {} }, "source": [ "def rel_to_absolute(bbox, height, width):\n", " \"\"\"\n", " Converts bounding box dimensions from relative to absolute pixel values (Detectron2 style).\n", " See: https://detectron2.readthedocs.io/modules/structures.html#detectron2.structures.BoxMode\n", " \n", " Params\n", " ------\n", " bbox (array): relative dimensions of bounding box in format (x0, y0, x1, y1 or Xmin, Ymin, Xmax, Ymax)\n", " height (int): height of image\n", " width (int): width of image\n", " \"\"\"\n", " bbox[0] = np.round(np.multiply(bbox[0], width)) # x0\n", " bbox[1] = np.round(np.multiply(bbox[1], height)) # y0\n", " bbox[2] = np.round(np.multiply(bbox[2], width)) # x1\n", " bbox[3] = np.round(np.multiply(bbox[3], height)) # y1\n", " return [i.astype(\"object\") for i in bbox] # convert all to objects for JSON saving" ], "execution_count": 8, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "Oka3h7CWZzTz", "colab_type": "code", "colab": {} }, "source": [ "def get_image_dicts(image_folder, annotation_file, target_classes=None):\n", " \"\"\"\n", " Create Dectectron2 style labels in the form of a list of dictionaries.\n", " \n", " Params\n", " ------\n", " image_folder (str): target folder containing images\n", " annotations (DataFrame): DataFrame of image label data\n", " target_classes (list): names of target Open Images classes\n", "\n", " Note: image_folder and annotation_file should both relate to the same dataset (this could be improved).\n", " E.g.\n", " image_folder = valid_images & annotation_file = valid_annotations (both are for the validation set)\n", " \"\"\"\n", " # Get name of dataset from image_folder \n", " dataset_name = str(image_folder)\n", "\n", " # Create dataset specific annotations.\n", " annotations = format_annotations(image_folder=image_folder, \n", " annotation_file=annotation_file,\n", " target_classes=target_classes)\n", "\n", " # Get all unique image ids from target folder\n", " img_ids = get_image_ids(image_folder)\n", "\n", " # Add some verbosity \n", " print(f\"\\nUsing {annotation_file} for annotations...\")\n", " print(f\"On dataset: {dataset_name}\")\n", " print(\"Classes we're using:\\n{}\".format(annotations[\"ClassName\"].value_counts()))\n", " print(f\"Total number of images: {len(img_ids)}\")\n", " \n", " # Start creating image dictionaries (Detectron2 style labelling)\n", " img_dicts = []\n", " for idx, img in tqdm(enumerate(img_ids)):\n", " record = {}\n", " \n", " # Get image metadata\n", " file_name = image_folder + img + \".jpg\"\n", " height, width = cv2.imread(file_name).shape[:2]\n", " img_data = annotations[annotations[\"ImageID\"] == img].reset_index() # reset_index(): important for images\n", " # with multiple objects\n", "\n", " # Update record dictionary\n", " record[\"file_name\"] = file_name\n", " record[\"image_id\"] = idx\n", " record[\"height\"] = height\n", " record[\"width\"] = width\n", " \n", " # Create list of image annotations (labels)\n", " img_annotations = []\n", " for i in range(len(img_data)): # this is where we loop through examples with multiple objects in an image\n", " category_id = img_data.loc[i][\"ClassID\"].astype(\"object\") # JSON (for evalution) can't take int8 (NumPy type) must be native Python type\n", " # Get bounding box coordinates in Detectron2 style (x0, y0, x1, y1)\n", " bbox = np.float32(img_data.loc[i][[\"XMin\", \"YMin\", \"XMax\", \"YMax\"]].values)\n", " # Convert bbox from relative to absolute pixel dimensions\n", " bbox = rel_to_absolute(bbox=bbox, height=height, width=width)\n", " # Setup annot (1 annot = 1 label, there might be more) dictionary\n", " annot = {\n", " \"bbox\": bbox, \n", " \"bbox_mode\": BoxMode.XYXY_ABS, # See: https://detectron2.readthedocs.io/modules/structures.html#detectron2.structures.BoxMode.XYXY_ABS\n", " \"category_id\": category_id\n", " }\n", " img_annotations.append(annot)\n", " \n", " # Update record dictionary with annotations\n", " record[\"annotations\"] = img_annotations\n", " \n", " # Add record dictionary with image annotations to img_dicts list\n", " img_dicts.append(record)\n", "\n", " # Save img_dicts to JSON for use later\n", " prefix = \"valid\" if \"valid\" in image_folder else \"train\"\n", " json_file = os.path.join(image_folder, prefix + \"_labels.json\")\n", " print(f\"\\nSaving labels to: {json_file}...\")\n", " with open(json_file, \"w\") as f:\n", " json.dump(img_dicts, f)\n", "\n", " print(\"Showing an example:\")\n", " pprint.pprint(random.sample(img_dicts, 1))\n", "\n", " # return img labels dictionary\n", " return img_dicts" ], "execution_count": 9, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "nrwPYo0bItHf", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "37bc2ecf-914c-4fb8-dcf2-6bce7238cf83" }, "source": [ "# Create list of validation image dictionaries\n", "%%time\n", "val_img_dicts = get_image_dicts(image_folder=valid_path,\n", " annotation_file=\"validation-annotations-bbox.csv\",\n", " target_classes=subset_classes)" ], "execution_count": 10, "outputs": [ { "output_type": "stream", "text": [ "5it [00:00, 46.30it/s]" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\n", "Using validation-annotations-bbox.csv for annotations...\n", "On dataset: ./sample_data/validation/\n", "Classes we're using:\n", "Microphone 140\n", "Computer monitor 100\n", "Lamp 79\n", "Laptop 70\n", "Computer keyboard 67\n", "Computer mouse 24\n", "Name: ClassName, dtype: int64\n", "Total number of images: 301\n" ], "name": "stdout" }, { "output_type": "stream", "text": [ "301it [00:04, 60.94it/s]" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\n", "Saving labels to: ./sample_data/validation/valid_labels.json...\n", "Showing an example:\n", "[{'annotations': [{'bbox': [864.0, 350.0, 1024.0, 523.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [998.0, 2.0, 1024.0, 128.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [853.0, 150.0, 957.0, 280.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [850.0, 2.0, 954.0, 94.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [888.0, 205.0, 981.0, 301.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [755.0, 358.0, 867.0, 451.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [80.0, 107.0, 163.0, 198.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [136.0, 0.0, 251.0, 86.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [270.0, 347.0, 594.0, 600.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [466.0, 261.0, 613.0, 398.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [0.0, 203.0, 62.0, 264.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [0.0, 75.0, 22.0, 165.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [590.0, 416.0, 776.0, 546.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [834.0, 483.0, 890.0, 536.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [282.0, 238.0, 392.0, 336.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [274.0, 99.0, 390.0, 221.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [570.0, 133.0, 658.0, 254.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [546.0, 371.0, 603.0, 442.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [765.0, 318.0, 858.0, 422.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [384.0, 194.0, 506.0, 339.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [0.0, 261.0, 72.0, 347.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [646.0, 0.0, 797.0, 149.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [430.0, 94.0, 528.0, 203.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [69.0, 187.0, 302.0, 451.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [661.0, 242.0, 755.0, 368.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [624.0, 584.0, 674.0, 664.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [16.0, 0.0, 157.0, 155.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3}],\n", " 'file_name': './sample_data/validation/c11ae79e8ebe5a1e.jpg',\n", " 'height': 768,\n", " 'image_id': 128,\n", " 'width': 1024}]\n", "CPU times: user 5.52 s, sys: 141 ms, total: 5.66 s\n", "Wall time: 5.69 s\n" ], "name": "stdout" }, { "output_type": "stream", "text": [ "\n" ], "name": "stderr" } ] }, { "cell_type": "code", "metadata": { "id": "HR4diZqZ6WA-", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "outputId": "e0f4f2d2-b06c-457f-9250-5448f474e478" }, "source": [ "# Create list of training image dictionaries\n", "%%time\n", "train_img_dicts = get_image_dicts(image_folder=train_path,\n", " annotation_file=\"train-annotations-bbox.csv\",\n", " target_classes=subset_classes)" ], "execution_count": 11, "outputs": [ { "output_type": "stream", "text": [ "7it [00:00, 58.23it/s]" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\n", "Using train-annotations-bbox.csv for annotations...\n", "On dataset: ./sample_data/train/\n", "Classes we're using:\n", "Lamp 3663\n", "Laptop 3361\n", "Computer keyboard 1958\n", "Computer monitor 1690\n", "Microphone 1545\n", "Computer mouse 733\n", "Name: ClassName, dtype: int64\n", "Total number of images: 6453\n" ], "name": "stdout" }, { "output_type": "stream", "text": [ "6453it [02:03, 52.39it/s]\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\n", "Saving labels to: ./sample_data/train/train_labels.json...\n", "Showing an example:\n", "[{'annotations': [{'bbox': [844.0, 195.0, 1023.0, 655.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3},\n", " {'bbox': [0.0, 87.0, 226.0, 727.0],\n", " 'bbox_mode': ,\n", " 'category_id': 3}],\n", " 'file_name': './sample_data/train/015c813d19448db9.jpg',\n", " 'height': 1024,\n", " 'image_id': 1583,\n", " 'width': 1024}]\n", "CPU times: user 2min 35s, sys: 6.01 s, total: 2min 41s\n", "Wall time: 2min 41s\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "o2Z4Z2yc6GYF", "colab_type": "code", "colab": {} }, "source": [ "def load_json_labels(image_folder):\n", " \"\"\"\n", " Returns Detectron2 style labels of images (list of dictionaries) in image_folder based on JSON label file in image_folder.\n", "\n", " Note: Requires JSON label to be in image_folder. See get_image_dicts(). \n", " \n", " Params\n", " ------\n", " image_folder (str): target folder containing images\n", " \"\"\"\n", " # Get absolute path of JSON label file\n", " for file in os.listdir(image_folder):\n", " if file.endswith(\".json\"):\n", " json_file = os.path.join(image_folder, file)\n", "\n", " # Check to see if json_file exists \n", " assert json_file, \"No .json label file found, please make one with get_image_dicts()\"\n", "\n", " with open(json_file, \"r\") as f:\n", " img_dicts = json.load(f)\n", "\n", " # Convert bbox_mode to Enum of BoxMode.XYXY_ABS (doesn't work loading normal from JSON)\n", " for img_dict in img_dicts:\n", " for annot in img_dict[\"annotations\"]:\n", " annot[\"bbox_mode\"] = BoxMode.XYXY_ABS\n", "\n", " return img_dicts" ], "execution_count": 12, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "HsRNgZhhfUIk", "colab_type": "text" }, "source": [ "#Register custom data" ] }, { "cell_type": "code", "metadata": { "id": "G7zf2c0pKIjm", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 50 }, "outputId": "3fec5705-feaa-4148-d067-81fedce210dd" }, "source": [ "# Loop through different datasets\n", "for dataset in [\"train\", \"valid\"]:\n", " \n", " # Create dataset name strings\n", " if dataset==\"train\":\n", " dataset_name= train_path\n", " elif dataset==\"valid\":\n", " dataset_name= valid_path\n", "\n", " print(f\"Registering {dataset_name}\")\n", "\n", " # Register the datasets with Detectron2's DatasetCatalog, which has space for a lambda function to preprocess it\n", " DatasetCatalog.register(dataset_name, lambda dataset_name=dataset_name: load_json_labels(dataset_name))\n", "\n", " # Create the metadata for our dataset (the main thing being the classnames we're using)\n", " MetadataCatalog.get(dataset_name).set(thing_classes=subset_classes)\n", "\n", "# Setup metadata variable\n", "metadata = MetadataCatalog.get(train_path)" ], "execution_count": 13, "outputs": [ { "output_type": "stream", "text": [ "Registering ./sample_data/train/\n", "Registering ./sample_data/validation/\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "dZaeI5v-KIbL", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 529 }, "outputId": "e2326f7f-26a1-47a5-d020-2f9f87d29cb6" }, "source": [ "#check works\n", "for label in random.sample(val_img_dicts, 1):\n", " img = cv2.imread(label[\"file_name\"])\n", " visualizer = Visualizer(img[:, :, ::-1], # revervse the image pixel order (BGR -> RGB)\n", " metadata=metadata, # use the metadata variable we created about\n", " scale=0.5)\n", " vis = visualizer.draw_dataset_dict(label)\n", " cv2_imshow(vis.get_image()[:, :, ::-1])" ], "execution_count": 14, "outputs": [ { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "markdown", "metadata": { "id": "L7S_x8Vogv8K", "colab_type": "text" }, "source": [ "#Training the model" ] }, { "cell_type": "code", "metadata": { "id": "tnmtsUSZ_Kj7", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "5097d2a7-a0fc-4fd8-f592-3bcecb54a606" }, "source": [ "# Setup a model config (recipe for training a Detectron2 model)\n", "cfg=get_cfg()\n", "\n", "# Add some basic instructions for the Detectron2 model from the model_zoo: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\n", "cfg.merge_from_file(model_zoo.get_config_file('COCO-Detection/retinanet_R_101_FPN_3x.yaml'))\n", "\n", "# Add some pretrained model weights from an object detection model\n", "cfg.MODEL.WEIGHTS = model_zoo.get_checkpoint_url('COCO-Detection/retinanet_R_101_FPN_3x.yaml')\n", "\n", "# Setup datasets to train/validate on (this will only work if the datasets are registered with DatasetCatalog)\n", "cfg.DATASETS.TRAIN = (train_path,)\n", "cfg.DATASETS.TEST = (valid_path,)\n", "\n", "# How many dataloaders to use? This is the number of CPUs to load the data into Detectron2, Colab has 2, so we'll use 2\n", "cfg.DATALOADER.NUM_WORKERS = 2\n", "\n", "# How many images per batch? The original models were trained on 8 GPUs with 16 images per batch, since we have 1 GPU: 16/8 = 2.\n", "cfg.SOLVER.IMS_PER_BATCH = 2\n", "\n", "# We do the same calculation with the learning rate as the GPUs, the original model used 0.01.\n", "cfg.SOLVER.BASE_LR = 0.0002\n", "\n", "# How many iterations are we going for?\n", "cfg.SOLVER.MAX_ITER = 5000\n", "\n", "# ROI = region of interest, as in, how many parts of an image are interesting, how many of these are we going to find? \n", "cfg.MODEL.ROI_HEADS.BATCH_SIZE_PER_IMAGE = 256\n", "\n", "# number of classes we dealing with\n", "cfg.MODEL.RETINANET.NUM_CLASSES = 6\n", "\n", "# Setup output directory, all the model artefacts will get stored here in a folder called \"outputs\" \n", "os.makedirs(cfg.OUTPUT_DIR, exist_ok=True)\n", "\n", "# Setup the default Detectron2 trainer, see: https://detectron2.readthedocs.io/modules/engine.html#detectron2.engine.defaults.DefaultTrainer\n", "trainer = DefaultTrainer(cfg)\n", "\n", "# Resume training from model checkpoint or not, we're going to just load the model in the config: https://detectron2.readthedocs.io/modules/engine.html#detectron2.engine.defaults.DefaultTrainer.resume_or_load\n", "trainer.resume_or_load(resume=False) \n", "\n", "# Start training\n", "trainer.train()" ], "execution_count": 15, "outputs": [ { "output_type": "stream", "text": [ "Loading config /usr/local/lib/python3.6/dist-packages/detectron2/model_zoo/configs/COCO-Detection/../Base-RetinaNet.yaml with yaml.unsafe_load. Your machine may be at risk if the file contains malicious content.\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\u001b[32m[08/02 19:17:30 d2.engine.defaults]: \u001b[0mModel:\n", "RetinaNet(\n", " (backbone): FPN(\n", " (fpn_lateral3): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))\n", " (fpn_output3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (fpn_lateral4): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))\n", " (fpn_output4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (fpn_lateral5): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))\n", " (fpn_output5): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (top_block): LastLevelP6P7(\n", " (p6): Conv2d(2048, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n", " (p7): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))\n", " )\n", " (bottom_up): ResNet(\n", " (stem): BasicStem(\n", " (conv1): Conv2d(\n", " 3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " )\n", " (res2): Sequential(\n", " (0): BottleneckBlock(\n", " (shortcut): Conv2d(\n", " 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv1): Conv2d(\n", " 64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " )\n", " (1): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " )\n", " (2): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=64, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " )\n", " )\n", " (res3): Sequential(\n", " (0): BottleneckBlock(\n", " (shortcut): Conv2d(\n", " 256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv1): Conv2d(\n", " 256, 128, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " )\n", " (1): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " )\n", " (2): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " )\n", " (3): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=128, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " )\n", " )\n", " (res4): Sequential(\n", " (0): BottleneckBlock(\n", " (shortcut): Conv2d(\n", " 512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " (conv1): Conv2d(\n", " 512, 256, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (1): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (2): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (3): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (4): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (5): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (6): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (7): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (8): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (9): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (10): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (11): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (12): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (13): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (14): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (15): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (16): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (17): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (18): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (19): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (20): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (21): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " (22): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=256, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=1024, eps=1e-05)\n", " )\n", " )\n", " )\n", " (res5): Sequential(\n", " (0): BottleneckBlock(\n", " (shortcut): Conv2d(\n", " 1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n", " )\n", " (conv1): Conv2d(\n", " 1024, 512, kernel_size=(1, 1), stride=(2, 2), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n", " )\n", " )\n", " (1): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n", " )\n", " )\n", " (2): BottleneckBlock(\n", " (conv1): Conv2d(\n", " 2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv2): Conv2d(\n", " 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=512, eps=1e-05)\n", " )\n", " (conv3): Conv2d(\n", " 512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False\n", " (norm): FrozenBatchNorm2d(num_features=2048, eps=1e-05)\n", " )\n", " )\n", " )\n", " )\n", " )\n", " (head): RetinaNetHead(\n", " (cls_subnet): Sequential(\n", " (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (1): ReLU()\n", " (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (3): ReLU()\n", " (4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (5): ReLU()\n", " (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (7): ReLU()\n", " )\n", " (bbox_subnet): Sequential(\n", " (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (1): ReLU()\n", " (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (3): ReLU()\n", " (4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (5): ReLU()\n", " (6): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (7): ReLU()\n", " )\n", " (cls_score): Conv2d(256, 54, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " (bbox_pred): Conv2d(256, 36, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n", " )\n", " (anchor_generator): DefaultAnchorGenerator(\n", " (cell_anchors): BufferList()\n", " )\n", ")\n", "\u001b[32m[08/02 19:17:30 d2.data.build]: \u001b[0mRemoved 0 images with no usable annotations. 6453 images left.\n", "\u001b[32m[08/02 19:17:31 d2.data.build]: \u001b[0mDistribution of instances among all 6 categories:\n", "\u001b[36m| category | #instances | category | #instances | category | #instances |\n", "|:-------------:|:-------------|:-------------:|:-------------|:-------------:|:-------------|\n", "| Computer ke.. | 1958 | Computer mo.. | 1690 | Computer mo.. | 733 |\n", "| Lamp | 3663 | Laptop | 3361 | Microphone | 1545 |\n", "| | | | | | |\n", "| total | 12950 | | | | |\u001b[0m\n", "\u001b[32m[08/02 19:17:31 d2.data.common]: \u001b[0mSerializing 6453 elements to byte tensors and concatenating them all ...\n", "\u001b[32m[08/02 19:17:31 d2.data.common]: \u001b[0mSerialized dataset takes 1.89 MiB\n", "\u001b[32m[08/02 19:17:31 d2.data.dataset_mapper]: \u001b[0mAugmentations used in training: [ResizeShortestEdge(short_edge_length=(640, 672, 704, 736, 768, 800), max_size=1333, sample_style='choice'), RandomFlip()]\n", "\u001b[32m[08/02 19:17:31 d2.data.build]: \u001b[0mUsing training sampler TrainingSampler\n" ], "name": "stdout" }, { "output_type": "stream", "text": [ "model_final_971ab9.pkl: 228MB [00:03, 71.9MB/s] \n", "Skip loading parameter 'head.cls_score.weight' to the model due to incompatible shapes: (720, 256, 3, 3) in the checkpoint but (54, 256, 3, 3) in the model! You might want to double check if this is expected.\n", "Skip loading parameter 'head.cls_score.bias' to the model due to incompatible shapes: (720,) in the checkpoint but (54,) in the model! You might want to double check if this is expected.\n" ], "name": "stderr" }, { "output_type": "stream", "text": [ "\u001b[32m[08/02 19:17:37 d2.engine.train_loop]: \u001b[0mStarting training from iteration 0\n", "\u001b[32m[08/02 19:17:50 d2.utils.events]: \u001b[0m eta: 0:48:12 iter: 19 total_loss: 1.292 loss_cls: 1.018 loss_box_reg: 0.282 time: 0.5840 data_time: 0.0214 lr: 0.000004 max_mem: 3097M\n", "\u001b[32m[08/02 19:18:02 d2.utils.events]: \u001b[0m eta: 0:49:13 iter: 39 total_loss: 0.892 loss_cls: 0.784 loss_box_reg: 0.222 time: 0.5855 data_time: 0.0068 lr: 0.000008 max_mem: 3097M\n", "\u001b[32m[08/02 19:18:14 d2.utils.events]: \u001b[0m eta: 0:49:01 iter: 59 total_loss: 0.947 loss_cls: 0.784 loss_box_reg: 0.227 time: 0.5930 data_time: 0.0050 lr: 0.000012 max_mem: 3252M\n", "\u001b[32m[08/02 19:18:27 d2.utils.events]: \u001b[0m eta: 0:49:29 iter: 79 total_loss: 1.317 loss_cls: 1.043 loss_box_reg: 0.313 time: 0.6026 data_time: 0.0064 lr: 0.000016 max_mem: 3252M\n", "\u001b[32m[08/02 19:18:40 d2.utils.events]: \u001b[0m eta: 0:49:57 iter: 99 total_loss: 1.064 loss_cls: 0.878 loss_box_reg: 0.239 time: 0.6133 data_time: 0.0057 lr: 0.000020 max_mem: 3252M\n", "\u001b[32m[08/02 19:18:53 d2.utils.events]: \u001b[0m eta: 0:50:28 iter: 119 total_loss: 0.784 loss_cls: 0.610 loss_box_reg: 0.191 time: 0.6214 data_time: 0.0068 lr: 0.000024 max_mem: 3252M\n", "\u001b[32m[08/02 19:19:06 d2.utils.events]: \u001b[0m eta: 0:50:54 iter: 139 total_loss: 1.158 loss_cls: 0.930 loss_box_reg: 0.179 time: 0.6268 data_time: 0.0078 lr: 0.000028 max_mem: 3351M\n", "\u001b[32m[08/02 19:19:20 d2.utils.events]: \u001b[0m eta: 0:51:24 iter: 159 total_loss: 0.912 loss_cls: 0.805 loss_box_reg: 0.123 time: 0.6378 data_time: 0.0057 lr: 0.000032 max_mem: 3351M\n", "\u001b[32m[08/02 19:19:34 d2.utils.events]: \u001b[0m eta: 0:51:23 iter: 179 total_loss: 0.807 loss_cls: 0.674 loss_box_reg: 0.176 time: 0.6415 data_time: 0.0068 lr: 0.000036 max_mem: 3351M\n", "\u001b[32m[08/02 19:19:48 d2.utils.events]: \u001b[0m eta: 0:51:29 iter: 199 total_loss: 0.989 loss_cls: 0.801 loss_box_reg: 0.244 time: 0.6467 data_time: 0.0057 lr: 0.000040 max_mem: 3351M\n", "\u001b[32m[08/02 19:20:01 d2.utils.events]: \u001b[0m eta: 0:51:37 iter: 219 total_loss: 0.932 loss_cls: 0.747 loss_box_reg: 0.202 time: 0.6484 data_time: 0.0060 lr: 0.000044 max_mem: 3351M\n", "\u001b[32m[08/02 19:20:14 d2.utils.events]: \u001b[0m eta: 0:51:24 iter: 239 total_loss: 1.022 loss_cls: 0.767 loss_box_reg: 0.202 time: 0.6492 data_time: 0.0065 lr: 0.000048 max_mem: 3351M\n", "\u001b[32m[08/02 19:20:27 d2.utils.events]: \u001b[0m eta: 0:51:15 iter: 259 total_loss: 0.976 loss_cls: 0.712 loss_box_reg: 0.265 time: 0.6505 data_time: 0.0085 lr: 0.000052 max_mem: 3351M\n", "\u001b[32m[08/02 19:20:41 d2.utils.events]: \u001b[0m eta: 0:51:06 iter: 279 total_loss: 0.693 loss_cls: 0.539 loss_box_reg: 0.197 time: 0.6509 data_time: 0.0066 lr: 0.000056 max_mem: 3351M\n", "\u001b[32m[08/02 19:20:55 d2.utils.events]: \u001b[0m eta: 0:51:06 iter: 299 total_loss: 0.985 loss_cls: 0.747 loss_box_reg: 0.241 time: 0.6547 data_time: 0.0095 lr: 0.000060 max_mem: 3352M\n", "\u001b[32m[08/02 19:21:08 d2.utils.events]: \u001b[0m eta: 0:51:04 iter: 319 total_loss: 0.638 loss_cls: 0.500 loss_box_reg: 0.147 time: 0.6564 data_time: 0.0072 lr: 0.000064 max_mem: 3352M\n", "\u001b[32m[08/02 19:21:22 d2.utils.events]: \u001b[0m eta: 0:50:55 iter: 339 total_loss: 0.807 loss_cls: 0.557 loss_box_reg: 0.210 time: 0.6584 data_time: 0.0063 lr: 0.000068 max_mem: 3352M\n", "\u001b[32m[08/02 19:21:36 d2.utils.events]: \u001b[0m eta: 0:50:47 iter: 359 total_loss: 0.855 loss_cls: 0.663 loss_box_reg: 0.261 time: 0.6599 data_time: 0.0064 lr: 0.000072 max_mem: 3352M\n", "\u001b[32m[08/02 19:21:50 d2.utils.events]: \u001b[0m eta: 0:50:47 iter: 379 total_loss: 0.736 loss_cls: 0.498 loss_box_reg: 0.221 time: 0.6613 data_time: 0.0076 lr: 0.000076 max_mem: 3352M\n", "\u001b[32m[08/02 19:22:04 d2.utils.events]: \u001b[0m eta: 0:50:51 iter: 399 total_loss: 0.722 loss_cls: 0.465 loss_box_reg: 0.222 time: 0.6630 data_time: 0.0082 lr: 0.000080 max_mem: 3352M\n", "\u001b[32m[08/02 19:22:18 d2.utils.events]: \u001b[0m eta: 0:50:45 iter: 419 total_loss: 0.717 loss_cls: 0.517 loss_box_reg: 0.196 time: 0.6654 data_time: 0.0054 lr: 0.000084 max_mem: 3352M\n", "\u001b[32m[08/02 19:22:32 d2.utils.events]: \u001b[0m eta: 0:50:35 iter: 439 total_loss: 0.616 loss_cls: 0.453 loss_box_reg: 0.207 time: 0.6661 data_time: 0.0075 lr: 0.000088 max_mem: 3352M\n", "\u001b[32m[08/02 19:22:46 d2.utils.events]: \u001b[0m eta: 0:50:35 iter: 459 total_loss: 0.919 loss_cls: 0.644 loss_box_reg: 0.326 time: 0.6677 data_time: 0.0069 lr: 0.000092 max_mem: 3352M\n", "\u001b[32m[08/02 19:23:00 d2.utils.events]: \u001b[0m eta: 0:50:27 iter: 479 total_loss: 0.476 loss_cls: 0.338 loss_box_reg: 0.145 time: 0.6693 data_time: 0.0071 lr: 0.000096 max_mem: 3352M\n", "\u001b[32m[08/02 19:23:13 d2.utils.events]: \u001b[0m eta: 0:50:21 iter: 499 total_loss: 0.628 loss_cls: 0.383 loss_box_reg: 0.213 time: 0.6695 data_time: 0.0053 lr: 0.000100 max_mem: 3352M\n", "\u001b[32m[08/02 19:23:27 d2.utils.events]: \u001b[0m eta: 0:50:01 iter: 519 total_loss: 0.573 loss_cls: 0.414 loss_box_reg: 0.165 time: 0.6695 data_time: 0.0088 lr: 0.000104 max_mem: 3352M\n", "\u001b[32m[08/02 19:23:40 d2.utils.events]: \u001b[0m eta: 0:49:47 iter: 539 total_loss: 0.539 loss_cls: 0.381 loss_box_reg: 0.172 time: 0.6699 data_time: 0.0070 lr: 0.000108 max_mem: 3352M\n", "\u001b[32m[08/02 19:23:54 d2.utils.events]: \u001b[0m eta: 0:49:38 iter: 559 total_loss: 0.654 loss_cls: 0.420 loss_box_reg: 0.272 time: 0.6702 data_time: 0.0058 lr: 0.000112 max_mem: 3352M\n", "\u001b[32m[08/02 19:24:07 d2.utils.events]: \u001b[0m eta: 0:49:28 iter: 579 total_loss: 0.605 loss_cls: 0.381 loss_box_reg: 0.228 time: 0.6705 data_time: 0.0072 lr: 0.000116 max_mem: 3352M\n", "\u001b[32m[08/02 19:24:21 d2.utils.events]: \u001b[0m eta: 0:49:15 iter: 599 total_loss: 0.495 loss_cls: 0.340 loss_box_reg: 0.158 time: 0.6702 data_time: 0.0082 lr: 0.000120 max_mem: 3352M\n", "\u001b[32m[08/02 19:24:34 d2.utils.events]: \u001b[0m eta: 0:49:00 iter: 619 total_loss: 0.496 loss_cls: 0.315 loss_box_reg: 0.158 time: 0.6696 data_time: 0.0070 lr: 0.000124 max_mem: 3352M\n", "\u001b[32m[08/02 19:24:47 d2.utils.events]: \u001b[0m eta: 0:48:48 iter: 639 total_loss: 0.601 loss_cls: 0.388 loss_box_reg: 0.217 time: 0.6701 data_time: 0.0068 lr: 0.000128 max_mem: 3352M\n", "\u001b[32m[08/02 19:25:02 d2.utils.events]: \u001b[0m eta: 0:48:42 iter: 659 total_loss: 0.597 loss_cls: 0.350 loss_box_reg: 0.270 time: 0.6712 data_time: 0.0091 lr: 0.000132 max_mem: 3352M\n", "\u001b[32m[08/02 19:25:16 d2.utils.events]: \u001b[0m eta: 0:48:30 iter: 679 total_loss: 0.575 loss_cls: 0.400 loss_box_reg: 0.201 time: 0.6722 data_time: 0.0077 lr: 0.000136 max_mem: 3352M\n", "\u001b[32m[08/02 19:25:29 d2.utils.events]: \u001b[0m eta: 0:48:18 iter: 699 total_loss: 0.567 loss_cls: 0.348 loss_box_reg: 0.233 time: 0.6726 data_time: 0.0064 lr: 0.000140 max_mem: 3352M\n", "\u001b[32m[08/02 19:25:42 d2.utils.events]: \u001b[0m eta: 0:48:02 iter: 719 total_loss: 0.428 loss_cls: 0.263 loss_box_reg: 0.136 time: 0.6720 data_time: 0.0064 lr: 0.000144 max_mem: 3352M\n", "\u001b[32m[08/02 19:25:56 d2.utils.events]: \u001b[0m eta: 0:47:50 iter: 739 total_loss: 0.481 loss_cls: 0.272 loss_box_reg: 0.190 time: 0.6722 data_time: 0.0087 lr: 0.000148 max_mem: 3352M\n", "\u001b[32m[08/02 19:26:10 d2.utils.events]: \u001b[0m eta: 0:47:38 iter: 759 total_loss: 0.330 loss_cls: 0.222 loss_box_reg: 0.130 time: 0.6728 data_time: 0.0080 lr: 0.000152 max_mem: 3352M\n", "\u001b[32m[08/02 19:26:24 d2.utils.events]: \u001b[0m eta: 0:47:26 iter: 779 total_loss: 0.371 loss_cls: 0.273 loss_box_reg: 0.182 time: 0.6735 data_time: 0.0062 lr: 0.000156 max_mem: 3352M\n", "\u001b[32m[08/02 19:26:37 d2.utils.events]: \u001b[0m eta: 0:47:10 iter: 799 total_loss: 0.533 loss_cls: 0.286 loss_box_reg: 0.202 time: 0.6732 data_time: 0.0060 lr: 0.000160 max_mem: 3352M\n", "\u001b[32m[08/02 19:26:51 d2.utils.events]: \u001b[0m eta: 0:46:57 iter: 819 total_loss: 0.359 loss_cls: 0.232 loss_box_reg: 0.128 time: 0.6733 data_time: 0.0081 lr: 0.000164 max_mem: 3352M\n", "\u001b[32m[08/02 19:27:05 d2.utils.events]: \u001b[0m eta: 0:46:48 iter: 839 total_loss: 0.388 loss_cls: 0.181 loss_box_reg: 0.191 time: 0.6745 data_time: 0.0059 lr: 0.000168 max_mem: 3352M\n", "\u001b[32m[08/02 19:27:19 d2.utils.events]: \u001b[0m eta: 0:46:37 iter: 859 total_loss: 0.468 loss_cls: 0.263 loss_box_reg: 0.205 time: 0.6752 data_time: 0.0106 lr: 0.000172 max_mem: 3352M\n", "\u001b[32m[08/02 19:27:34 d2.utils.events]: \u001b[0m eta: 0:46:27 iter: 879 total_loss: 0.535 loss_cls: 0.350 loss_box_reg: 0.211 time: 0.6759 data_time: 0.0048 lr: 0.000176 max_mem: 3352M\n", "\u001b[32m[08/02 19:27:47 d2.utils.events]: \u001b[0m eta: 0:46:14 iter: 899 total_loss: 0.381 loss_cls: 0.231 loss_box_reg: 0.166 time: 0.6760 data_time: 0.0061 lr: 0.000180 max_mem: 3352M\n", "\u001b[32m[08/02 19:28:01 d2.utils.events]: \u001b[0m eta: 0:46:00 iter: 919 total_loss: 0.673 loss_cls: 0.414 loss_box_reg: 0.221 time: 0.6760 data_time: 0.0085 lr: 0.000184 max_mem: 3352M\n", "\u001b[32m[08/02 19:28:14 d2.utils.events]: \u001b[0m eta: 0:45:47 iter: 939 total_loss: 0.298 loss_cls: 0.190 loss_box_reg: 0.115 time: 0.6763 data_time: 0.0065 lr: 0.000188 max_mem: 3352M\n", "\u001b[32m[08/02 19:28:28 d2.utils.events]: \u001b[0m eta: 0:45:36 iter: 959 total_loss: 0.649 loss_cls: 0.350 loss_box_reg: 0.173 time: 0.6764 data_time: 0.0059 lr: 0.000192 max_mem: 3352M\n", "\u001b[32m[08/02 19:28:42 d2.utils.events]: \u001b[0m eta: 0:45:26 iter: 979 total_loss: 0.511 loss_cls: 0.310 loss_box_reg: 0.217 time: 0.6766 data_time: 0.0062 lr: 0.000196 max_mem: 3352M\n", "\u001b[32m[08/02 19:28:55 d2.utils.events]: \u001b[0m eta: 0:45:10 iter: 999 total_loss: 0.485 loss_cls: 0.298 loss_box_reg: 0.190 time: 0.6762 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:29:08 d2.utils.events]: \u001b[0m eta: 0:45:05 iter: 1019 total_loss: 0.631 loss_cls: 0.357 loss_box_reg: 0.211 time: 0.6760 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:29:22 d2.utils.events]: \u001b[0m eta: 0:44:58 iter: 1039 total_loss: 0.329 loss_cls: 0.184 loss_box_reg: 0.130 time: 0.6758 data_time: 0.0097 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:29:36 d2.utils.events]: \u001b[0m eta: 0:44:53 iter: 1059 total_loss: 0.468 loss_cls: 0.279 loss_box_reg: 0.190 time: 0.6762 data_time: 0.0079 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:29:49 d2.utils.events]: \u001b[0m eta: 0:44:45 iter: 1079 total_loss: 0.548 loss_cls: 0.315 loss_box_reg: 0.174 time: 0.6765 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:30:03 d2.utils.events]: \u001b[0m eta: 0:44:33 iter: 1099 total_loss: 0.505 loss_cls: 0.361 loss_box_reg: 0.222 time: 0.6763 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:30:16 d2.utils.events]: \u001b[0m eta: 0:44:18 iter: 1119 total_loss: 0.430 loss_cls: 0.246 loss_box_reg: 0.171 time: 0.6763 data_time: 0.0103 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:30:31 d2.utils.events]: \u001b[0m eta: 0:44:09 iter: 1139 total_loss: 0.489 loss_cls: 0.247 loss_box_reg: 0.169 time: 0.6770 data_time: 0.0089 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:30:44 d2.utils.events]: \u001b[0m eta: 0:43:54 iter: 1159 total_loss: 0.553 loss_cls: 0.272 loss_box_reg: 0.258 time: 0.6771 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:30:58 d2.utils.events]: \u001b[0m eta: 0:43:45 iter: 1179 total_loss: 0.410 loss_cls: 0.231 loss_box_reg: 0.183 time: 0.6776 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:31:11 d2.utils.events]: \u001b[0m eta: 0:43:30 iter: 1199 total_loss: 0.488 loss_cls: 0.271 loss_box_reg: 0.217 time: 0.6771 data_time: 0.0072 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:31:24 d2.utils.events]: \u001b[0m eta: 0:43:14 iter: 1219 total_loss: 0.430 loss_cls: 0.250 loss_box_reg: 0.192 time: 0.6764 data_time: 0.0067 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:31:37 d2.utils.events]: \u001b[0m eta: 0:43:00 iter: 1239 total_loss: 0.528 loss_cls: 0.311 loss_box_reg: 0.273 time: 0.6759 data_time: 0.0086 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:31:51 d2.utils.events]: \u001b[0m eta: 0:42:50 iter: 1259 total_loss: 0.367 loss_cls: 0.236 loss_box_reg: 0.172 time: 0.6764 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:32:04 d2.utils.events]: \u001b[0m eta: 0:42:36 iter: 1279 total_loss: 0.486 loss_cls: 0.280 loss_box_reg: 0.220 time: 0.6760 data_time: 0.0085 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:32:17 d2.utils.events]: \u001b[0m eta: 0:42:21 iter: 1299 total_loss: 0.378 loss_cls: 0.206 loss_box_reg: 0.167 time: 0.6758 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:32:31 d2.utils.events]: \u001b[0m eta: 0:42:06 iter: 1319 total_loss: 0.456 loss_cls: 0.304 loss_box_reg: 0.217 time: 0.6758 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:32:44 d2.utils.events]: \u001b[0m eta: 0:41:48 iter: 1339 total_loss: 0.339 loss_cls: 0.209 loss_box_reg: 0.129 time: 0.6757 data_time: 0.0366 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:32:58 d2.utils.events]: \u001b[0m eta: 0:41:33 iter: 1359 total_loss: 0.632 loss_cls: 0.284 loss_box_reg: 0.259 time: 0.6758 data_time: 0.0086 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:33:11 d2.utils.events]: \u001b[0m eta: 0:41:16 iter: 1379 total_loss: 0.525 loss_cls: 0.333 loss_box_reg: 0.189 time: 0.6757 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:33:25 d2.utils.events]: \u001b[0m eta: 0:40:59 iter: 1399 total_loss: 0.368 loss_cls: 0.203 loss_box_reg: 0.174 time: 0.6755 data_time: 0.0082 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:33:38 d2.utils.events]: \u001b[0m eta: 0:40:44 iter: 1419 total_loss: 0.430 loss_cls: 0.239 loss_box_reg: 0.172 time: 0.6756 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:33:52 d2.utils.events]: \u001b[0m eta: 0:40:29 iter: 1439 total_loss: 0.493 loss_cls: 0.243 loss_box_reg: 0.205 time: 0.6754 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:34:05 d2.utils.events]: \u001b[0m eta: 0:40:12 iter: 1459 total_loss: 0.339 loss_cls: 0.171 loss_box_reg: 0.147 time: 0.6752 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:34:19 d2.utils.events]: \u001b[0m eta: 0:39:57 iter: 1479 total_loss: 0.357 loss_cls: 0.215 loss_box_reg: 0.162 time: 0.6755 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:34:33 d2.utils.events]: \u001b[0m eta: 0:39:44 iter: 1499 total_loss: 0.425 loss_cls: 0.240 loss_box_reg: 0.171 time: 0.6757 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:34:46 d2.utils.events]: \u001b[0m eta: 0:39:30 iter: 1519 total_loss: 0.499 loss_cls: 0.275 loss_box_reg: 0.234 time: 0.6754 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:35:00 d2.utils.events]: \u001b[0m eta: 0:39:17 iter: 1539 total_loss: 0.289 loss_cls: 0.163 loss_box_reg: 0.134 time: 0.6756 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:35:13 d2.utils.events]: \u001b[0m eta: 0:39:03 iter: 1559 total_loss: 0.388 loss_cls: 0.214 loss_box_reg: 0.192 time: 0.6753 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:35:26 d2.utils.events]: \u001b[0m eta: 0:38:49 iter: 1579 total_loss: 0.439 loss_cls: 0.247 loss_box_reg: 0.181 time: 0.6753 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:35:40 d2.utils.events]: \u001b[0m eta: 0:38:38 iter: 1599 total_loss: 0.422 loss_cls: 0.240 loss_box_reg: 0.181 time: 0.6756 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:35:53 d2.utils.events]: \u001b[0m eta: 0:38:26 iter: 1619 total_loss: 0.375 loss_cls: 0.201 loss_box_reg: 0.200 time: 0.6755 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:36:07 d2.utils.events]: \u001b[0m eta: 0:38:12 iter: 1639 total_loss: 0.423 loss_cls: 0.271 loss_box_reg: 0.145 time: 0.6754 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:36:21 d2.utils.events]: \u001b[0m eta: 0:37:59 iter: 1659 total_loss: 0.422 loss_cls: 0.221 loss_box_reg: 0.196 time: 0.6757 data_time: 0.0085 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:36:35 d2.utils.events]: \u001b[0m eta: 0:37:45 iter: 1679 total_loss: 0.355 loss_cls: 0.188 loss_box_reg: 0.181 time: 0.6758 data_time: 0.0125 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:36:48 d2.utils.events]: \u001b[0m eta: 0:37:32 iter: 1699 total_loss: 0.433 loss_cls: 0.242 loss_box_reg: 0.197 time: 0.6759 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:37:02 d2.utils.events]: \u001b[0m eta: 0:37:22 iter: 1719 total_loss: 0.341 loss_cls: 0.219 loss_box_reg: 0.143 time: 0.6759 data_time: 0.0067 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:37:16 d2.utils.events]: \u001b[0m eta: 0:37:13 iter: 1739 total_loss: 0.341 loss_cls: 0.178 loss_box_reg: 0.164 time: 0.6761 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:37:29 d2.utils.events]: \u001b[0m eta: 0:36:55 iter: 1759 total_loss: 0.344 loss_cls: 0.191 loss_box_reg: 0.157 time: 0.6761 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:37:42 d2.utils.events]: \u001b[0m eta: 0:36:40 iter: 1779 total_loss: 0.482 loss_cls: 0.249 loss_box_reg: 0.196 time: 0.6760 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:37:57 d2.utils.events]: \u001b[0m eta: 0:36:33 iter: 1799 total_loss: 0.482 loss_cls: 0.279 loss_box_reg: 0.226 time: 0.6764 data_time: 0.0074 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:38:10 d2.utils.events]: \u001b[0m eta: 0:36:16 iter: 1819 total_loss: 0.545 loss_cls: 0.361 loss_box_reg: 0.197 time: 0.6760 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:38:23 d2.utils.events]: \u001b[0m eta: 0:35:59 iter: 1839 total_loss: 0.399 loss_cls: 0.274 loss_box_reg: 0.176 time: 0.6761 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:38:37 d2.utils.events]: \u001b[0m eta: 0:35:43 iter: 1859 total_loss: 0.389 loss_cls: 0.211 loss_box_reg: 0.201 time: 0.6762 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:38:51 d2.utils.events]: \u001b[0m eta: 0:35:29 iter: 1879 total_loss: 0.368 loss_cls: 0.183 loss_box_reg: 0.176 time: 0.6764 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:39:05 d2.utils.events]: \u001b[0m eta: 0:35:16 iter: 1899 total_loss: 0.396 loss_cls: 0.220 loss_box_reg: 0.178 time: 0.6765 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:39:18 d2.utils.events]: \u001b[0m eta: 0:35:03 iter: 1919 total_loss: 0.318 loss_cls: 0.190 loss_box_reg: 0.156 time: 0.6766 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:39:32 d2.utils.events]: \u001b[0m eta: 0:34:46 iter: 1939 total_loss: 0.416 loss_cls: 0.242 loss_box_reg: 0.184 time: 0.6765 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:39:45 d2.utils.events]: \u001b[0m eta: 0:34:26 iter: 1959 total_loss: 0.410 loss_cls: 0.240 loss_box_reg: 0.182 time: 0.6764 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:39:59 d2.utils.events]: \u001b[0m eta: 0:34:10 iter: 1979 total_loss: 0.488 loss_cls: 0.247 loss_box_reg: 0.210 time: 0.6766 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:40:13 d2.utils.events]: \u001b[0m eta: 0:33:59 iter: 1999 total_loss: 0.513 loss_cls: 0.254 loss_box_reg: 0.229 time: 0.6766 data_time: 0.0073 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:40:26 d2.utils.events]: \u001b[0m eta: 0:33:47 iter: 2019 total_loss: 0.358 loss_cls: 0.186 loss_box_reg: 0.159 time: 0.6766 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:40:40 d2.utils.events]: \u001b[0m eta: 0:33:35 iter: 2039 total_loss: 0.254 loss_cls: 0.165 loss_box_reg: 0.135 time: 0.6765 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:40:53 d2.utils.events]: \u001b[0m eta: 0:33:22 iter: 2059 total_loss: 0.399 loss_cls: 0.201 loss_box_reg: 0.199 time: 0.6767 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:41:08 d2.utils.events]: \u001b[0m eta: 0:33:14 iter: 2079 total_loss: 0.315 loss_cls: 0.194 loss_box_reg: 0.144 time: 0.6770 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:41:21 d2.utils.events]: \u001b[0m eta: 0:32:55 iter: 2099 total_loss: 0.384 loss_cls: 0.159 loss_box_reg: 0.222 time: 0.6768 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:41:35 d2.utils.events]: \u001b[0m eta: 0:32:46 iter: 2119 total_loss: 0.420 loss_cls: 0.254 loss_box_reg: 0.180 time: 0.6769 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:41:48 d2.utils.events]: \u001b[0m eta: 0:32:32 iter: 2139 total_loss: 0.554 loss_cls: 0.279 loss_box_reg: 0.295 time: 0.6770 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:42:02 d2.utils.events]: \u001b[0m eta: 0:32:19 iter: 2159 total_loss: 0.447 loss_cls: 0.253 loss_box_reg: 0.226 time: 0.6771 data_time: 0.0072 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:42:16 d2.utils.events]: \u001b[0m eta: 0:32:01 iter: 2179 total_loss: 0.396 loss_cls: 0.204 loss_box_reg: 0.200 time: 0.6772 data_time: 0.0072 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:42:30 d2.utils.events]: \u001b[0m eta: 0:31:52 iter: 2199 total_loss: 0.336 loss_cls: 0.185 loss_box_reg: 0.141 time: 0.6774 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:42:43 d2.utils.events]: \u001b[0m eta: 0:31:40 iter: 2219 total_loss: 0.395 loss_cls: 0.267 loss_box_reg: 0.186 time: 0.6773 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:42:57 d2.utils.events]: \u001b[0m eta: 0:31:28 iter: 2239 total_loss: 0.341 loss_cls: 0.200 loss_box_reg: 0.163 time: 0.6773 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:43:10 d2.utils.events]: \u001b[0m eta: 0:31:11 iter: 2259 total_loss: 0.487 loss_cls: 0.258 loss_box_reg: 0.213 time: 0.6772 data_time: 0.0054 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:43:23 d2.utils.events]: \u001b[0m eta: 0:30:56 iter: 2279 total_loss: 0.375 loss_cls: 0.188 loss_box_reg: 0.193 time: 0.6771 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:43:37 d2.utils.events]: \u001b[0m eta: 0:30:43 iter: 2299 total_loss: 0.370 loss_cls: 0.191 loss_box_reg: 0.191 time: 0.6771 data_time: 0.0084 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:43:51 d2.utils.events]: \u001b[0m eta: 0:30:32 iter: 2319 total_loss: 0.390 loss_cls: 0.202 loss_box_reg: 0.208 time: 0.6772 data_time: 0.0086 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:44:04 d2.utils.events]: \u001b[0m eta: 0:30:21 iter: 2339 total_loss: 0.510 loss_cls: 0.223 loss_box_reg: 0.249 time: 0.6770 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:44:17 d2.utils.events]: \u001b[0m eta: 0:30:08 iter: 2359 total_loss: 0.418 loss_cls: 0.206 loss_box_reg: 0.176 time: 0.6770 data_time: 0.0075 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:44:31 d2.utils.events]: \u001b[0m eta: 0:29:56 iter: 2379 total_loss: 0.404 loss_cls: 0.189 loss_box_reg: 0.205 time: 0.6772 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:44:45 d2.utils.events]: \u001b[0m eta: 0:29:45 iter: 2399 total_loss: 0.368 loss_cls: 0.203 loss_box_reg: 0.160 time: 0.6773 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:44:59 d2.utils.events]: \u001b[0m eta: 0:29:31 iter: 2419 total_loss: 0.533 loss_cls: 0.308 loss_box_reg: 0.230 time: 0.6773 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:45:12 d2.utils.events]: \u001b[0m eta: 0:29:17 iter: 2439 total_loss: 0.386 loss_cls: 0.207 loss_box_reg: 0.177 time: 0.6771 data_time: 0.0079 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:45:25 d2.utils.events]: \u001b[0m eta: 0:29:04 iter: 2459 total_loss: 0.275 loss_cls: 0.162 loss_box_reg: 0.140 time: 0.6771 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:45:39 d2.utils.events]: \u001b[0m eta: 0:28:49 iter: 2479 total_loss: 0.297 loss_cls: 0.146 loss_box_reg: 0.133 time: 0.6772 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:45:53 d2.utils.events]: \u001b[0m eta: 0:28:34 iter: 2499 total_loss: 0.324 loss_cls: 0.186 loss_box_reg: 0.149 time: 0.6772 data_time: 0.0090 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:46:07 d2.utils.events]: \u001b[0m eta: 0:28:22 iter: 2519 total_loss: 0.260 loss_cls: 0.168 loss_box_reg: 0.110 time: 0.6775 data_time: 0.0079 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:46:20 d2.utils.events]: \u001b[0m eta: 0:28:08 iter: 2539 total_loss: 0.387 loss_cls: 0.196 loss_box_reg: 0.182 time: 0.6774 data_time: 0.0094 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:46:33 d2.utils.events]: \u001b[0m eta: 0:27:52 iter: 2559 total_loss: 0.338 loss_cls: 0.172 loss_box_reg: 0.192 time: 0.6771 data_time: 0.0054 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:46:47 d2.utils.events]: \u001b[0m eta: 0:27:38 iter: 2579 total_loss: 0.361 loss_cls: 0.233 loss_box_reg: 0.156 time: 0.6772 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:47:01 d2.utils.events]: \u001b[0m eta: 0:27:26 iter: 2599 total_loss: 0.369 loss_cls: 0.217 loss_box_reg: 0.167 time: 0.6774 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:47:14 d2.utils.events]: \u001b[0m eta: 0:27:11 iter: 2619 total_loss: 0.464 loss_cls: 0.223 loss_box_reg: 0.240 time: 0.6773 data_time: 0.0073 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:47:27 d2.utils.events]: \u001b[0m eta: 0:26:57 iter: 2639 total_loss: 0.332 loss_cls: 0.176 loss_box_reg: 0.148 time: 0.6771 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:47:41 d2.utils.events]: \u001b[0m eta: 0:26:41 iter: 2659 total_loss: 0.476 loss_cls: 0.230 loss_box_reg: 0.233 time: 0.6772 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:47:55 d2.utils.events]: \u001b[0m eta: 0:26:27 iter: 2679 total_loss: 0.486 loss_cls: 0.244 loss_box_reg: 0.246 time: 0.6772 data_time: 0.0052 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:48:08 d2.utils.events]: \u001b[0m eta: 0:26:14 iter: 2699 total_loss: 0.423 loss_cls: 0.231 loss_box_reg: 0.184 time: 0.6772 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:48:22 d2.utils.events]: \u001b[0m eta: 0:26:00 iter: 2719 total_loss: 0.355 loss_cls: 0.172 loss_box_reg: 0.146 time: 0.6774 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:48:36 d2.utils.events]: \u001b[0m eta: 0:25:46 iter: 2739 total_loss: 0.438 loss_cls: 0.193 loss_box_reg: 0.214 time: 0.6775 data_time: 0.0073 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:48:50 d2.utils.events]: \u001b[0m eta: 0:25:32 iter: 2759 total_loss: 0.445 loss_cls: 0.211 loss_box_reg: 0.213 time: 0.6775 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:49:03 d2.utils.events]: \u001b[0m eta: 0:25:18 iter: 2779 total_loss: 0.474 loss_cls: 0.278 loss_box_reg: 0.178 time: 0.6773 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:49:16 d2.utils.events]: \u001b[0m eta: 0:25:01 iter: 2799 total_loss: 0.470 loss_cls: 0.218 loss_box_reg: 0.258 time: 0.6773 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:49:30 d2.utils.events]: \u001b[0m eta: 0:24:48 iter: 2819 total_loss: 0.372 loss_cls: 0.222 loss_box_reg: 0.142 time: 0.6773 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:49:44 d2.utils.events]: \u001b[0m eta: 0:24:36 iter: 2839 total_loss: 0.322 loss_cls: 0.180 loss_box_reg: 0.128 time: 0.6774 data_time: 0.0074 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:49:58 d2.utils.events]: \u001b[0m eta: 0:24:21 iter: 2859 total_loss: 0.371 loss_cls: 0.183 loss_box_reg: 0.200 time: 0.6775 data_time: 0.0074 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:50:11 d2.utils.events]: \u001b[0m eta: 0:24:06 iter: 2879 total_loss: 0.411 loss_cls: 0.185 loss_box_reg: 0.160 time: 0.6774 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:50:24 d2.utils.events]: \u001b[0m eta: 0:23:51 iter: 2899 total_loss: 0.361 loss_cls: 0.175 loss_box_reg: 0.150 time: 0.6772 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:50:37 d2.utils.events]: \u001b[0m eta: 0:23:37 iter: 2919 total_loss: 0.427 loss_cls: 0.258 loss_box_reg: 0.196 time: 0.6772 data_time: 0.0075 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:50:51 d2.utils.events]: \u001b[0m eta: 0:23:24 iter: 2939 total_loss: 0.287 loss_cls: 0.146 loss_box_reg: 0.111 time: 0.6771 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:51:04 d2.utils.events]: \u001b[0m eta: 0:23:11 iter: 2959 total_loss: 0.333 loss_cls: 0.191 loss_box_reg: 0.120 time: 0.6770 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:51:17 d2.utils.events]: \u001b[0m eta: 0:22:58 iter: 2979 total_loss: 0.385 loss_cls: 0.208 loss_box_reg: 0.167 time: 0.6769 data_time: 0.0074 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:51:31 d2.utils.events]: \u001b[0m eta: 0:22:45 iter: 2999 total_loss: 0.537 loss_cls: 0.266 loss_box_reg: 0.216 time: 0.6771 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:51:46 d2.utils.events]: \u001b[0m eta: 0:22:34 iter: 3019 total_loss: 0.370 loss_cls: 0.207 loss_box_reg: 0.177 time: 0.6773 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:51:59 d2.utils.events]: \u001b[0m eta: 0:22:20 iter: 3039 total_loss: 0.416 loss_cls: 0.234 loss_box_reg: 0.178 time: 0.6774 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:52:13 d2.utils.events]: \u001b[0m eta: 0:22:06 iter: 3059 total_loss: 0.325 loss_cls: 0.173 loss_box_reg: 0.155 time: 0.6775 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:52:26 d2.utils.events]: \u001b[0m eta: 0:21:50 iter: 3079 total_loss: 0.392 loss_cls: 0.200 loss_box_reg: 0.188 time: 0.6774 data_time: 0.0084 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:52:40 d2.utils.events]: \u001b[0m eta: 0:21:39 iter: 3099 total_loss: 0.214 loss_cls: 0.118 loss_box_reg: 0.099 time: 0.6775 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:52:55 d2.utils.events]: \u001b[0m eta: 0:21:26 iter: 3119 total_loss: 0.312 loss_cls: 0.177 loss_box_reg: 0.146 time: 0.6778 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:53:09 d2.utils.events]: \u001b[0m eta: 0:21:12 iter: 3139 total_loss: 0.406 loss_cls: 0.193 loss_box_reg: 0.186 time: 0.6778 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:53:22 d2.utils.events]: \u001b[0m eta: 0:20:58 iter: 3159 total_loss: 0.540 loss_cls: 0.280 loss_box_reg: 0.285 time: 0.6779 data_time: 0.0057 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:53:36 d2.utils.events]: \u001b[0m eta: 0:20:43 iter: 3179 total_loss: 0.399 loss_cls: 0.199 loss_box_reg: 0.188 time: 0.6779 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:53:49 d2.utils.events]: \u001b[0m eta: 0:20:29 iter: 3199 total_loss: 0.489 loss_cls: 0.265 loss_box_reg: 0.202 time: 0.6778 data_time: 0.0088 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:54:03 d2.utils.events]: \u001b[0m eta: 0:20:15 iter: 3219 total_loss: 0.329 loss_cls: 0.177 loss_box_reg: 0.176 time: 0.6778 data_time: 0.0059 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:54:16 d2.utils.events]: \u001b[0m eta: 0:20:01 iter: 3239 total_loss: 0.466 loss_cls: 0.265 loss_box_reg: 0.184 time: 0.6778 data_time: 0.0059 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:54:30 d2.utils.events]: \u001b[0m eta: 0:19:48 iter: 3259 total_loss: 0.299 loss_cls: 0.133 loss_box_reg: 0.139 time: 0.6779 data_time: 0.0080 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:54:44 d2.utils.events]: \u001b[0m eta: 0:19:37 iter: 3279 total_loss: 0.253 loss_cls: 0.132 loss_box_reg: 0.127 time: 0.6779 data_time: 0.0085 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:54:58 d2.utils.events]: \u001b[0m eta: 0:19:23 iter: 3299 total_loss: 0.328 loss_cls: 0.175 loss_box_reg: 0.173 time: 0.6780 data_time: 0.0060 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:55:11 d2.utils.events]: \u001b[0m eta: 0:19:09 iter: 3319 total_loss: 0.389 loss_cls: 0.204 loss_box_reg: 0.200 time: 0.6781 data_time: 0.0080 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:55:25 d2.utils.events]: \u001b[0m eta: 0:18:56 iter: 3339 total_loss: 0.367 loss_cls: 0.194 loss_box_reg: 0.220 time: 0.6781 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:55:39 d2.utils.events]: \u001b[0m eta: 0:18:44 iter: 3359 total_loss: 0.361 loss_cls: 0.216 loss_box_reg: 0.181 time: 0.6782 data_time: 0.0090 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:55:53 d2.utils.events]: \u001b[0m eta: 0:18:30 iter: 3379 total_loss: 0.418 loss_cls: 0.199 loss_box_reg: 0.207 time: 0.6783 data_time: 0.0087 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:56:07 d2.utils.events]: \u001b[0m eta: 0:18:14 iter: 3399 total_loss: 0.345 loss_cls: 0.176 loss_box_reg: 0.163 time: 0.6783 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:56:20 d2.utils.events]: \u001b[0m eta: 0:18:01 iter: 3419 total_loss: 0.228 loss_cls: 0.118 loss_box_reg: 0.126 time: 0.6784 data_time: 0.0055 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:56:34 d2.utils.events]: \u001b[0m eta: 0:17:47 iter: 3439 total_loss: 0.355 loss_cls: 0.218 loss_box_reg: 0.155 time: 0.6784 data_time: 0.0072 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:56:47 d2.utils.events]: \u001b[0m eta: 0:17:32 iter: 3459 total_loss: 0.387 loss_cls: 0.193 loss_box_reg: 0.180 time: 0.6782 data_time: 0.0055 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:57:01 d2.utils.events]: \u001b[0m eta: 0:17:21 iter: 3479 total_loss: 0.254 loss_cls: 0.146 loss_box_reg: 0.137 time: 0.6784 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:57:14 d2.utils.events]: \u001b[0m eta: 0:17:06 iter: 3499 total_loss: 0.369 loss_cls: 0.184 loss_box_reg: 0.158 time: 0.6783 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:57:29 d2.utils.events]: \u001b[0m eta: 0:16:53 iter: 3519 total_loss: 0.291 loss_cls: 0.144 loss_box_reg: 0.151 time: 0.6785 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:57:42 d2.utils.events]: \u001b[0m eta: 0:16:39 iter: 3539 total_loss: 0.341 loss_cls: 0.159 loss_box_reg: 0.149 time: 0.6784 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:57:56 d2.utils.events]: \u001b[0m eta: 0:16:28 iter: 3559 total_loss: 0.343 loss_cls: 0.198 loss_box_reg: 0.173 time: 0.6784 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:58:10 d2.utils.events]: \u001b[0m eta: 0:16:14 iter: 3579 total_loss: 0.245 loss_cls: 0.128 loss_box_reg: 0.132 time: 0.6785 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:58:23 d2.utils.events]: \u001b[0m eta: 0:15:58 iter: 3599 total_loss: 0.209 loss_cls: 0.127 loss_box_reg: 0.109 time: 0.6784 data_time: 0.0059 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:58:36 d2.utils.events]: \u001b[0m eta: 0:15:44 iter: 3619 total_loss: 0.324 loss_cls: 0.145 loss_box_reg: 0.167 time: 0.6784 data_time: 0.0054 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:58:50 d2.utils.events]: \u001b[0m eta: 0:15:33 iter: 3639 total_loss: 0.280 loss_cls: 0.158 loss_box_reg: 0.100 time: 0.6784 data_time: 0.0086 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:59:04 d2.utils.events]: \u001b[0m eta: 0:15:19 iter: 3659 total_loss: 0.346 loss_cls: 0.159 loss_box_reg: 0.169 time: 0.6786 data_time: 0.0088 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:59:18 d2.utils.events]: \u001b[0m eta: 0:15:06 iter: 3679 total_loss: 0.346 loss_cls: 0.181 loss_box_reg: 0.184 time: 0.6786 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:59:32 d2.utils.events]: \u001b[0m eta: 0:14:52 iter: 3699 total_loss: 0.394 loss_cls: 0.200 loss_box_reg: 0.175 time: 0.6787 data_time: 0.0059 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 19:59:46 d2.utils.events]: \u001b[0m eta: 0:14:40 iter: 3719 total_loss: 0.383 loss_cls: 0.206 loss_box_reg: 0.183 time: 0.6789 data_time: 0.0091 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:00:00 d2.utils.events]: \u001b[0m eta: 0:14:26 iter: 3739 total_loss: 0.260 loss_cls: 0.128 loss_box_reg: 0.134 time: 0.6791 data_time: 0.0081 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:00:14 d2.utils.events]: \u001b[0m eta: 0:14:14 iter: 3759 total_loss: 0.385 loss_cls: 0.205 loss_box_reg: 0.181 time: 0.6791 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:00:28 d2.utils.events]: \u001b[0m eta: 0:14:01 iter: 3779 total_loss: 0.324 loss_cls: 0.151 loss_box_reg: 0.163 time: 0.6792 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:00:41 d2.utils.events]: \u001b[0m eta: 0:13:47 iter: 3799 total_loss: 0.346 loss_cls: 0.152 loss_box_reg: 0.204 time: 0.6792 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:00:55 d2.utils.events]: \u001b[0m eta: 0:13:35 iter: 3819 total_loss: 0.350 loss_cls: 0.165 loss_box_reg: 0.176 time: 0.6793 data_time: 0.0076 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:01:09 d2.utils.events]: \u001b[0m eta: 0:13:20 iter: 3839 total_loss: 0.430 loss_cls: 0.219 loss_box_reg: 0.218 time: 0.6793 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:01:23 d2.utils.events]: \u001b[0m eta: 0:13:07 iter: 3859 total_loss: 0.317 loss_cls: 0.180 loss_box_reg: 0.153 time: 0.6794 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:01:36 d2.utils.events]: \u001b[0m eta: 0:12:53 iter: 3879 total_loss: 0.348 loss_cls: 0.187 loss_box_reg: 0.150 time: 0.6793 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:01:50 d2.utils.events]: \u001b[0m eta: 0:12:40 iter: 3899 total_loss: 0.262 loss_cls: 0.125 loss_box_reg: 0.146 time: 0.6793 data_time: 0.0077 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:02:04 d2.utils.events]: \u001b[0m eta: 0:12:26 iter: 3919 total_loss: 0.325 loss_cls: 0.176 loss_box_reg: 0.160 time: 0.6793 data_time: 0.0099 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:02:17 d2.utils.events]: \u001b[0m eta: 0:12:13 iter: 3939 total_loss: 0.447 loss_cls: 0.214 loss_box_reg: 0.252 time: 0.6793 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:02:31 d2.utils.events]: \u001b[0m eta: 0:12:00 iter: 3959 total_loss: 0.394 loss_cls: 0.202 loss_box_reg: 0.211 time: 0.6794 data_time: 0.0101 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:02:45 d2.utils.events]: \u001b[0m eta: 0:11:47 iter: 3979 total_loss: 0.431 loss_cls: 0.218 loss_box_reg: 0.148 time: 0.6795 data_time: 0.0067 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:02:59 d2.utils.events]: \u001b[0m eta: 0:11:32 iter: 3999 total_loss: 0.280 loss_cls: 0.135 loss_box_reg: 0.123 time: 0.6795 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:03:11 d2.utils.events]: \u001b[0m eta: 0:11:16 iter: 4019 total_loss: 0.325 loss_cls: 0.174 loss_box_reg: 0.138 time: 0.6793 data_time: 0.0084 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:03:25 d2.utils.events]: \u001b[0m eta: 0:11:03 iter: 4039 total_loss: 0.419 loss_cls: 0.229 loss_box_reg: 0.187 time: 0.6792 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:03:38 d2.utils.events]: \u001b[0m eta: 0:10:48 iter: 4059 total_loss: 0.419 loss_cls: 0.249 loss_box_reg: 0.199 time: 0.6792 data_time: 0.0084 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:03:52 d2.utils.events]: \u001b[0m eta: 0:10:35 iter: 4079 total_loss: 0.336 loss_cls: 0.142 loss_box_reg: 0.156 time: 0.6793 data_time: 0.0063 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:04:06 d2.utils.events]: \u001b[0m eta: 0:10:21 iter: 4099 total_loss: 0.372 loss_cls: 0.179 loss_box_reg: 0.192 time: 0.6792 data_time: 0.0109 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:04:19 d2.utils.events]: \u001b[0m eta: 0:10:06 iter: 4119 total_loss: 0.351 loss_cls: 0.182 loss_box_reg: 0.186 time: 0.6792 data_time: 0.0055 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:04:33 d2.utils.events]: \u001b[0m eta: 0:09:53 iter: 4139 total_loss: 0.356 loss_cls: 0.177 loss_box_reg: 0.205 time: 0.6793 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:04:47 d2.utils.events]: \u001b[0m eta: 0:09:39 iter: 4159 total_loss: 0.272 loss_cls: 0.121 loss_box_reg: 0.148 time: 0.6794 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:05:00 d2.utils.events]: \u001b[0m eta: 0:09:25 iter: 4179 total_loss: 0.295 loss_cls: 0.171 loss_box_reg: 0.126 time: 0.6792 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:05:14 d2.utils.events]: \u001b[0m eta: 0:09:11 iter: 4199 total_loss: 0.406 loss_cls: 0.191 loss_box_reg: 0.197 time: 0.6793 data_time: 0.0080 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:05:27 d2.utils.events]: \u001b[0m eta: 0:08:56 iter: 4219 total_loss: 0.308 loss_cls: 0.179 loss_box_reg: 0.143 time: 0.6792 data_time: 0.0052 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:05:41 d2.utils.events]: \u001b[0m eta: 0:08:44 iter: 4239 total_loss: 0.399 loss_cls: 0.235 loss_box_reg: 0.167 time: 0.6792 data_time: 0.0093 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:05:54 d2.utils.events]: \u001b[0m eta: 0:08:30 iter: 4259 total_loss: 0.387 loss_cls: 0.214 loss_box_reg: 0.185 time: 0.6792 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:06:07 d2.utils.events]: \u001b[0m eta: 0:08:14 iter: 4279 total_loss: 0.330 loss_cls: 0.191 loss_box_reg: 0.171 time: 0.6790 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:06:20 d2.utils.events]: \u001b[0m eta: 0:08:00 iter: 4299 total_loss: 0.369 loss_cls: 0.167 loss_box_reg: 0.199 time: 0.6789 data_time: 0.0062 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:06:34 d2.utils.events]: \u001b[0m eta: 0:07:45 iter: 4319 total_loss: 0.356 loss_cls: 0.245 loss_box_reg: 0.190 time: 0.6789 data_time: 0.0069 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:06:47 d2.utils.events]: \u001b[0m eta: 0:07:32 iter: 4339 total_loss: 0.352 loss_cls: 0.159 loss_box_reg: 0.163 time: 0.6789 data_time: 0.0055 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:07:01 d2.utils.events]: \u001b[0m eta: 0:07:18 iter: 4359 total_loss: 0.208 loss_cls: 0.114 loss_box_reg: 0.105 time: 0.6790 data_time: 0.0089 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:07:16 d2.utils.events]: \u001b[0m eta: 0:07:05 iter: 4379 total_loss: 0.496 loss_cls: 0.246 loss_box_reg: 0.226 time: 0.6791 data_time: 0.0077 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:07:29 d2.utils.events]: \u001b[0m eta: 0:06:51 iter: 4399 total_loss: 0.263 loss_cls: 0.130 loss_box_reg: 0.135 time: 0.6791 data_time: 0.0061 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:07:43 d2.utils.events]: \u001b[0m eta: 0:06:38 iter: 4419 total_loss: 0.269 loss_cls: 0.164 loss_box_reg: 0.138 time: 0.6792 data_time: 0.0090 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:07:56 d2.utils.events]: \u001b[0m eta: 0:06:24 iter: 4439 total_loss: 0.256 loss_cls: 0.122 loss_box_reg: 0.127 time: 0.6792 data_time: 0.0102 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:08:10 d2.utils.events]: \u001b[0m eta: 0:06:11 iter: 4459 total_loss: 0.302 loss_cls: 0.148 loss_box_reg: 0.148 time: 0.6792 data_time: 0.0048 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:08:24 d2.utils.events]: \u001b[0m eta: 0:05:56 iter: 4479 total_loss: 0.358 loss_cls: 0.180 loss_box_reg: 0.158 time: 0.6792 data_time: 0.0066 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:08:37 d2.utils.events]: \u001b[0m eta: 0:05:43 iter: 4499 total_loss: 0.467 loss_cls: 0.226 loss_box_reg: 0.199 time: 0.6792 data_time: 0.0081 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:08:52 d2.utils.events]: \u001b[0m eta: 0:05:30 iter: 4519 total_loss: 0.354 loss_cls: 0.155 loss_box_reg: 0.180 time: 0.6795 data_time: 0.0056 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:09:06 d2.utils.events]: \u001b[0m eta: 0:05:17 iter: 4539 total_loss: 0.310 loss_cls: 0.134 loss_box_reg: 0.173 time: 0.6795 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:09:19 d2.utils.events]: \u001b[0m eta: 0:05:02 iter: 4559 total_loss: 0.432 loss_cls: 0.270 loss_box_reg: 0.185 time: 0.6795 data_time: 0.0088 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:09:33 d2.utils.events]: \u001b[0m eta: 0:04:48 iter: 4579 total_loss: 0.225 loss_cls: 0.110 loss_box_reg: 0.128 time: 0.6795 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:09:47 d2.utils.events]: \u001b[0m eta: 0:04:36 iter: 4599 total_loss: 0.353 loss_cls: 0.201 loss_box_reg: 0.165 time: 0.6796 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:10:02 d2.utils.events]: \u001b[0m eta: 0:04:22 iter: 4619 total_loss: 0.322 loss_cls: 0.150 loss_box_reg: 0.170 time: 0.6798 data_time: 0.0098 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:10:15 d2.utils.events]: \u001b[0m eta: 0:04:08 iter: 4639 total_loss: 0.229 loss_cls: 0.126 loss_box_reg: 0.144 time: 0.6797 data_time: 0.0074 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:10:29 d2.utils.events]: \u001b[0m eta: 0:03:54 iter: 4659 total_loss: 0.286 loss_cls: 0.150 loss_box_reg: 0.166 time: 0.6797 data_time: 0.0088 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:10:43 d2.utils.events]: \u001b[0m eta: 0:03:40 iter: 4679 total_loss: 0.281 loss_cls: 0.148 loss_box_reg: 0.122 time: 0.6798 data_time: 0.0075 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:10:57 d2.utils.events]: \u001b[0m eta: 0:03:27 iter: 4699 total_loss: 0.265 loss_cls: 0.160 loss_box_reg: 0.151 time: 0.6799 data_time: 0.0058 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:11:10 d2.utils.events]: \u001b[0m eta: 0:03:12 iter: 4719 total_loss: 0.441 loss_cls: 0.216 loss_box_reg: 0.183 time: 0.6799 data_time: 0.0075 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:11:24 d2.utils.events]: \u001b[0m eta: 0:02:58 iter: 4739 total_loss: 0.330 loss_cls: 0.170 loss_box_reg: 0.145 time: 0.6798 data_time: 0.0075 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:11:37 d2.utils.events]: \u001b[0m eta: 0:02:45 iter: 4759 total_loss: 0.400 loss_cls: 0.220 loss_box_reg: 0.167 time: 0.6798 data_time: 0.0071 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:11:51 d2.utils.events]: \u001b[0m eta: 0:02:31 iter: 4779 total_loss: 0.339 loss_cls: 0.146 loss_box_reg: 0.166 time: 0.6799 data_time: 0.0089 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:12:05 d2.utils.events]: \u001b[0m eta: 0:02:18 iter: 4799 total_loss: 0.423 loss_cls: 0.249 loss_box_reg: 0.167 time: 0.6800 data_time: 0.0070 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:12:18 d2.utils.events]: \u001b[0m eta: 0:02:04 iter: 4819 total_loss: 0.333 loss_cls: 0.164 loss_box_reg: 0.169 time: 0.6799 data_time: 0.0067 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:12:33 d2.utils.events]: \u001b[0m eta: 0:01:50 iter: 4839 total_loss: 0.345 loss_cls: 0.196 loss_box_reg: 0.138 time: 0.6801 data_time: 0.0065 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:12:47 d2.utils.events]: \u001b[0m eta: 0:01:36 iter: 4859 total_loss: 0.433 loss_cls: 0.208 loss_box_reg: 0.212 time: 0.6801 data_time: 0.0078 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:13:00 d2.utils.events]: \u001b[0m eta: 0:01:23 iter: 4879 total_loss: 0.256 loss_cls: 0.127 loss_box_reg: 0.155 time: 0.6801 data_time: 0.0067 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:13:13 d2.utils.events]: \u001b[0m eta: 0:01:09 iter: 4899 total_loss: 0.367 loss_cls: 0.217 loss_box_reg: 0.150 time: 0.6799 data_time: 0.0080 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:13:26 d2.utils.events]: \u001b[0m eta: 0:00:55 iter: 4919 total_loss: 0.451 loss_cls: 0.215 loss_box_reg: 0.219 time: 0.6799 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:13:40 d2.utils.events]: \u001b[0m eta: 0:00:41 iter: 4939 total_loss: 0.359 loss_cls: 0.188 loss_box_reg: 0.203 time: 0.6800 data_time: 0.0079 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:13:54 d2.utils.events]: \u001b[0m eta: 0:00:28 iter: 4959 total_loss: 0.335 loss_cls: 0.132 loss_box_reg: 0.133 time: 0.6800 data_time: 0.0068 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:14:08 d2.utils.events]: \u001b[0m eta: 0:00:14 iter: 4979 total_loss: 0.449 loss_cls: 0.232 loss_box_reg: 0.210 time: 0.6801 data_time: 0.0076 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:14:25 d2.data.build]: \u001b[0mDistribution of instances among all 6 categories:\n", "\u001b[36m| category | #instances | category | #instances | category | #instances |\n", "|:-------------:|:-------------|:-------------:|:-------------|:-------------:|:-------------|\n", "| Computer ke.. | 67 | Computer mo.. | 100 | Computer mo.. | 24 |\n", "| Lamp | 79 | Laptop | 70 | Microphone | 140 |\n", "| | | | | | |\n", "| total | 480 | | | | |\u001b[0m\n", "\u001b[32m[08/02 20:14:25 d2.data.common]: \u001b[0mSerializing 301 elements to byte tensors and concatenating them all ...\n", "\u001b[32m[08/02 20:14:25 d2.data.common]: \u001b[0mSerialized dataset takes 0.08 MiB\n", "\u001b[32m[08/02 20:14:25 d2.data.dataset_mapper]: \u001b[0mAugmentations used in training: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')]\n", "\u001b[5m\u001b[31mWARNING\u001b[0m \u001b[32m[08/02 20:14:25 d2.engine.defaults]: \u001b[0mNo evaluator found. Use `DefaultTrainer.test(evaluators=)`, or implement its `build_evaluator` method.\n", "\u001b[32m[08/02 20:14:25 d2.utils.events]: \u001b[0m eta: 0:00:00 iter: 4999 total_loss: 0.312 loss_cls: 0.160 loss_box_reg: 0.150 time: 0.6802 data_time: 0.0064 lr: 0.000200 max_mem: 3352M\n", "\u001b[32m[08/02 20:14:26 d2.engine.hooks]: \u001b[0mOverall training speed: 4997 iterations in 0:56:39 (0.6804 s / it)\n", "\u001b[32m[08/02 20:14:26 d2.engine.hooks]: \u001b[0mTotal training time: 0:56:46 (0:00:07 on hooks)\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "m_eb80bnho8Q", "colab_type": "text" }, "source": [ "#Evaluate\n" ] }, { "cell_type": "code", "metadata": { "id": "uyI5Q_5Q1TKR", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "dd629cc8-7ee5-4fad-c675-af8d1539d554" }, "source": [ "# Setup an evaluator, we use COCO because it's one of the standards for object detection: https://detectron2.readthedocs.io/modules/evaluation.html#detectron2.evaluation.COCOEvaluator\n", "evaluator = COCOEvaluator(dataset_name=valid_path, \n", " cfg=cfg, \n", " distributed=False, # use multiple GPUs? we're in Colab so we only use one\n", " output_dir=\"./output/\")\n", "\n", "# Create a dataloader to load in the test data \n", "val_loader = build_detection_test_loader(cfg, \n", " dataset_name=valid_path)\n", "\n", "# Make inference on the validation dataset: https://detectron2.readthedocs.io/tutorials/evaluation.html\n", "inference_on_dataset(model=trainer.model, # get the model from the trainer\n", " data_loader=val_loader, \n", " evaluator=evaluator)" ], "execution_count": 16, "outputs": [ { "output_type": "stream", "text": [ "\u001b[32m[08/02 20:15:06 d2.evaluation.coco_evaluation]: \u001b[0m'./sample_data/validation/' is not registered by `register_coco_instances`. Therefore trying to convert it to COCO format ...\n", "\u001b[32m[08/02 20:15:06 d2.data.datasets.coco]: \u001b[0mConverting annotations of dataset './sample_data/validation/' to COCO format ...)\n", "\u001b[32m[08/02 20:15:06 d2.data.datasets.coco]: \u001b[0mConverting dataset dicts into COCO format\n", "\u001b[32m[08/02 20:15:06 d2.data.datasets.coco]: \u001b[0mConversion finished, #images: 301, #annotations: 480\n", "\u001b[32m[08/02 20:15:06 d2.data.datasets.coco]: \u001b[0mCaching COCO format annotations at './output/./sample_data/validation/_coco_format.json' ...\n", "\u001b[32m[08/02 20:15:06 d2.data.common]: \u001b[0mSerializing 301 elements to byte tensors and concatenating them all ...\n", "\u001b[32m[08/02 20:15:06 d2.data.common]: \u001b[0mSerialized dataset takes 0.08 MiB\n", "\u001b[32m[08/02 20:15:06 d2.data.dataset_mapper]: \u001b[0mAugmentations used in training: [ResizeShortestEdge(short_edge_length=(800, 800), max_size=1333, sample_style='choice')]\n", "\u001b[32m[08/02 20:15:06 d2.evaluation.evaluator]: \u001b[0mStart inference on 301 images\n", "\u001b[32m[08/02 20:15:08 d2.evaluation.evaluator]: \u001b[0mInference done 11/301. 0.1523 s / img. ETA=0:00:44\n", "\u001b[32m[08/02 20:15:13 d2.evaluation.evaluator]: \u001b[0mInference done 45/301. 0.1449 s / img. ETA=0:00:37\n", "\u001b[32m[08/02 20:15:18 d2.evaluation.evaluator]: \u001b[0mInference done 78/301. 0.1478 s / img. ETA=0:00:33\n", "\u001b[32m[08/02 20:15:23 d2.evaluation.evaluator]: \u001b[0mInference done 111/301. 0.1488 s / img. ETA=0:00:28\n", "\u001b[32m[08/02 20:15:28 d2.evaluation.evaluator]: \u001b[0mInference done 143/301. 0.1506 s / img. ETA=0:00:24\n", "\u001b[32m[08/02 20:15:33 d2.evaluation.evaluator]: \u001b[0mInference done 175/301. 0.1516 s / img. ETA=0:00:19\n", "\u001b[32m[08/02 20:15:38 d2.evaluation.evaluator]: \u001b[0mInference done 207/301. 0.1523 s / img. ETA=0:00:14\n", "\u001b[32m[08/02 20:15:43 d2.evaluation.evaluator]: \u001b[0mInference done 239/301. 0.1527 s / img. ETA=0:00:09\n", "\u001b[32m[08/02 20:15:48 d2.evaluation.evaluator]: \u001b[0mInference done 271/301. 0.1533 s / img. ETA=0:00:04\n", "\u001b[32m[08/02 20:15:53 d2.evaluation.evaluator]: \u001b[0mTotal inference time: 0:00:46.187943 (0.156040 s / img per device, on 1 devices)\n", "\u001b[32m[08/02 20:15:53 d2.evaluation.evaluator]: \u001b[0mTotal inference pure compute time: 0:00:45 (0.153785 s / img per device, on 1 devices)\n", "\u001b[32m[08/02 20:15:53 d2.evaluation.coco_evaluation]: \u001b[0mPreparing results for COCO format ...\n", "\u001b[32m[08/02 20:15:53 d2.evaluation.coco_evaluation]: \u001b[0mSaving results to ./output/coco_instances_results.json\n", "\u001b[32m[08/02 20:15:53 d2.evaluation.coco_evaluation]: \u001b[0mEvaluating predictions ...\n", "Loading and preparing results...\n", "DONE (t=0.03s)\n", "creating index...\n", "index created!\n", "Running per image evaluation...\n", "Evaluate annotation type *bbox*\n", "COCOeval_opt.evaluate() finished in 0.35 seconds.\n", "Accumulating evaluation results...\n", "COCOeval_opt.accumulate() finished in 0.06 seconds.\n", " Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.540\n", " Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.720\n", " Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.583\n", " Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.002\n", " Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.156\n", " Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.577\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.519\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.718\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.746\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.200\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.540\n", " Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.773\n", "\u001b[32m[08/02 20:15:54 d2.evaluation.coco_evaluation]: \u001b[0mEvaluation results for bbox: \n", "| AP | AP50 | AP75 | APs | APm | APl |\n", "|:------:|:------:|:------:|:-----:|:------:|:------:|\n", "| 53.954 | 72.025 | 58.283 | 0.167 | 15.556 | 57.666 |\n", "\u001b[32m[08/02 20:15:54 d2.evaluation.coco_evaluation]: \u001b[0mPer-category bbox AP: \n", "| category | AP | category | AP | category | AP |\n", "|:------------------|:-------|:-----------------|:-------|:---------------|:-------|\n", "| Computer keyboard | 59.830 | Computer monitor | 56.598 | Computer mouse | 75.699 |\n", "| Lamp | 41.126 | Laptop | 57.010 | Microphone | 33.460 |\n" ], "name": "stdout" }, { "output_type": "execute_result", "data": { "text/plain": [ "OrderedDict([('bbox',\n", " {'AP': 53.953950383914275,\n", " 'AP-Computer keyboard': 59.83021014267847,\n", " 'AP-Computer monitor': 56.59847659877494,\n", " 'AP-Computer mouse': 75.69945752296104,\n", " 'AP-Lamp': 41.12565200956107,\n", " 'AP-Laptop': 57.01031685212534,\n", " 'AP-Microphone': 33.459589177384785,\n", " 'AP50': 72.02538074940286,\n", " 'AP75': 58.283484348824175,\n", " 'APl': 57.66629564680487,\n", " 'APm': 15.556008294289356,\n", " 'APs': 0.1667371984765129})])" ] }, "metadata": { "tags": [] }, "execution_count": 16 } ] }, { "cell_type": "code", "metadata": { "id": "MCzoK2837Uhs", "colab_type": "code", "colab": {} }, "source": [ "# Save config to file\n", "with open(\"output/config.yaml\", \"w\") as f:\n", " f.write(cfg.dump())" ], "execution_count": 17, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "s4WEmDg3p3NV", "colab_type": "text" }, "source": [ "#Predictions\n" ] }, { "cell_type": "code", "metadata": { "id": "9jHfkfr2_eAm", "colab_type": "code", "colab": {} }, "source": [ "# Make a prediction and display inferences\n", "def make_inference(image, model_config, model_weights, threshold=0.2, n=10):\n", " \"\"\"\n", " Makes inference on image (single image) using model_config, model_weights and threshold.\n", "\n", " Returns image with n instance predictions drawn on.\n", "\n", " Params:\n", " -------\n", " image (str) : file path to target image\n", " model_config (str) : file path to model config in .yaml format\n", " model_weights (str) : file path to model weights \n", " threshold (float) : confidence threshold for model prediction, default 0.5\n", " n (int) : number of prediction instances to draw on, default 5\n", " Note: some images may not have 5 instances to draw on depending on threshold,\n", " n=5 means the top 5 instances above the threshold will be drawn on.\n", " save (bool) : if True will save image with predicted instances to file, default False\n", " \"\"\"\n", "\n", " # Setup config\n", " cfg = get_cfg()\n", " cfg.merge_from_file(model_config)\n", " cfg.MODEL.WEIGHTS = model_weights\n", " cfg.MODEL.RETINANET.SCORE_THRESH_TEST = threshold\n", "\n", " \n", " # Setup predictor\n", " predictor = DefaultPredictor(cfg)\n", " img = cv2.imread(image)\n", "\n", "\n", " visualizer = Visualizer(img_rgb=img[:, :, ::-1],\n", " metadata=MetadataCatalog.get(cfg.DATASETS.TEST[0]).set(thing_classes=subset_classes),\n", " scale=0.7)\n", " \n", " outputs = predictor(img) # Outputs: https://detectron2.readthedocs.io/modules/structures.html#detectron2.structures.Instances\n", " \n", " # Draw on predictions to image\n", " visualizer = visualizer.draw_instance_predictions(outputs[\"instances\"][:n].to(\"cpu\"))\n", " cv2_imshow(visualizer.get_image()[:, :, ::-1])" ], "execution_count": 27, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "LCScY6G08cVy", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 577 }, "outputId": "b6f5a91b-2e4c-4a9c-852a-d3432c95413b" }, "source": [ "# Make a prediction with the custom model\n", "make_inference(\"set.jpg\",\n", " model_config=\"output/config.yaml\",\n", " model_weights=\"output/model_final.pth\",\n", " threshold=.5\n", " \n", " )" ], "execution_count": 28, "outputs": [ { "output_type": "display_data", "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": { "tags": [] } } ] } ] }