{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Product based on a Deep Learning model (by fastai v2)\n", "> **Use case**: Dog & Cat Breeds Recognizer for Veterinary Clinics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- **Author**: [Pierre Guillou](https://www.linkedin.com/in/pierreguillou) (AI Professor at the University of Brasilia (UnB) & [AI Lab](https://ailab.unb.br/) Associate Researcher in NLP)\n", "- **Date**: 10/22/2020 \n", "- **Post in Medium**: [Product based on a Deep Learning model (by fastai v2)](https://medium.com/@pierre_guillou/product-based-on-a-deep-learning-model-by-fastai-v2-8bd3371ba11c)\n", "- [Github folder](https://github.com/piegu/petsbreeds_voila) of the Web App v1\n", "- [Version 1 of the Web App](https://mybinder.org/v2/gh/piegu/petsbreeds_voila/master?urlpath=%2Fvoila%2Frender%2Fpets_classifier.ipynb)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overview" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is the notebook of the post [Product based on a Deep Learning model (by fastai v2)](https://medium.com/@pierre_guillou/product-based-on-a-deep-learning-model-by-fastai-v2-8bd3371ba11c). \n", "\n", "Read this post to understand the context and objective of this notebook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Initialization" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Import fastai v2 for computer vision\n", "from fastai.vision.all import *\n", "from fastai.vision.widgets import *" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "gpu: 0 (Tesla V100-PCIE-32GB)\n" ] } ], "source": [ "# Check for CUDA & GPU\n", "if torch.cuda.is_available():\n", " print(f'gpu: {torch.cuda.current_device()} ({torch.cuda.get_device_name()})')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#2) [Path('/mnt/home/pierre/.fastai/data/oxford-iiit-pet/annotations'),Path('/mnt/home/pierre/.fastai/data/oxford-iiit-pet/images')]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get path to data\n", "path = untar_data(URLs.PETS)\n", "path.ls()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check first image\n", "path_to_img = (path/'images').ls()[0]\n", "img = PILImage.create(path_to_img)\n", "img.to_thumb(192)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Dataloaders" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will define a `DataBlock()` object using all the recent techniques (see the notebook [07_sizing_and_tta.ipynb](https://github.com/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb)):\n", "- **Data Augmentation** with the list of transforms at batch level (`aug_transforms()`).\n", "- **Presizing** (notebook [05_pet_breeds.ipynb](https://github.com/fastai/fastbook/blob/master/05_pet_breeds.ipynb)).\n", "- **Normalization** with the standard ImageNet mean and standard deviation (`Normalize.from_stats(*imagenet_stats)`).\n", "- **Progressive Resizing**: Gradually using larger and larger images as you train (`get_dls()`)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def get_dls(bs, size):\n", " dblock = DataBlock(blocks = (ImageBlock, CategoryBlock),\n", " get_items=get_image_files, \n", " splitter=RandomSplitter(seed=42),\n", " get_y=using_attr(RegexLabeller(r'(.+)_\\d+.jpg$'), 'name'),\n", " item_tfms=Resize(460),\n", " batch_tfms=[*aug_transforms(size=size, min_scale=0.75),\n", " Normalize.from_stats(*imagenet_stats)])\n", " return dblock.dataloaders(path/\"images\", bs=bs)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Get Dataloaders\n", "dls = get_dls(128, 128)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(#37) ['Abyssinian','Bengal','Birman','Bombay','British_Shorthair','Egyptian_Mau','Maine_Coon','Persian','Ragdoll','Russian_Blue'...]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check number of categories and list\n", "dls.vocab" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(128, None)" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Batch size and Check images in training batch\n", "dls.bs, dls.show_batch(nrows=1, ncols=3)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. First model (baseline)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To encourage our model to be less confident, we'll use `label smoothing` that will make our training more robust, even if there is mislabeled data. The result will be a model that generalizes better (see the notebook [07_sizing_and_tta.ipynb](https://github.com/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb))." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's train our model with the following fine-tuning techniques:\n", "- **gradual unfreezing** of layers from the last ones to the first ones.\n", "- **Discriminative Learning Rates** (notebook [05_pet_breeds.ipynb](https://github.com/fastai/fastbook/blob/master/05_pet_breeds.ipynb)).\n", "- **Deeper Architectures**: let's start with resnet34 as baseline, and then resnet152 as final model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4.1 Images of size 128" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Learner with model resnet34\n", "dls = get_dls(128, 128)\n", "model = resnet34\n", "loss_func=LabelSmoothingCrossEntropy()\n", "\n", "learn = cnn_learner(dls, model, loss_func=loss_func, metrics=[accuracy])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Freeze all layers but the last (new) ones" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
0NoneNone00:00
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Sequential (Input shape: ['128 x 3 x 128 x 128'])\n", "================================================================\n", "Layer (type) Output Shape Param # Trainable \n", "================================================================\n", "Conv2d 128 x 64 x 64 x 64 9,408 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 64 x 64 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 64 x 64 0 False \n", "________________________________________________________________\n", "MaxPool2d 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 73,728 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 8,192 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 294,912 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 32,768 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 1,179,648 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 131,072 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 False \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "AdaptiveAvgPool2d 128 x 512 x 1 x 1 0 False \n", "________________________________________________________________\n", "AdaptiveMaxPool2d 128 x 512 x 1 x 1 0 False \n", "________________________________________________________________\n", "Flatten 128 x 1024 0 False \n", "________________________________________________________________\n", "BatchNorm1d 128 x 1024 2,048 True \n", "________________________________________________________________\n", "Dropout 128 x 1024 0 False \n", "________________________________________________________________\n", "Linear 128 x 512 524,288 True \n", "________________________________________________________________\n", "ReLU 128 x 512 0 False \n", "________________________________________________________________\n", "BatchNorm1d 128 x 512 1,024 True \n", "________________________________________________________________\n", "Dropout 128 x 512 0 False \n", "________________________________________________________________\n", "Linear 128 x 37 18,944 True \n", "________________________________________________________________\n", "\n", "Total params: 21,830,976\n", "Total trainable params: 563,328\n", "Total non-trainable params: 21,267,648\n", "\n", "Optimizer used: \n", "Loss function: LabelSmoothingCrossEntropy()\n", "\n", "Model frozen up to parameter group #2\n", "\n", "Callbacks:\n", " - TrainEvalCallback\n", " - Recorder\n", " - ProgressCallback" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check model and frozen layers\n", "learn.freeze()\n", "learn.summary()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=0.012022644281387329, lr_steep=0.0063095735386013985)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As only the last layers are unfrozen, **let's choose the learning rate 10 times less than the one of the loss minimum as lr_max (1e-2)**." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
02.2047251.4709440.78484400:10
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 1e-2\n", "learn.fit_one_cycle(1, lr_max=lr_max)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the Learning rate and momentum values used in training\n", "learn.recorder.plot_sched()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_1.pth')" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Unfreeze all layers and Discriminative Learning Rates" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
0NoneNone00:00
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "Sequential (Input shape: ['128 x 3 x 128 x 128'])\n", "================================================================\n", "Layer (type) Output Shape Param # Trainable \n", "================================================================\n", "Conv2d 128 x 64 x 64 x 64 9,408 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 64 x 64 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 64 x 64 0 False \n", "________________________________________________________________\n", "MaxPool2d 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "ReLU 128 x 64 x 32 x 32 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 64 x 32 x 32 36,864 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 64 x 32 x 32 128 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 73,728 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 8,192 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "ReLU 128 x 128 x 16 x 16 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 128 x 16 x 16 147,456 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 128 x 16 x 16 256 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 294,912 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 32,768 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "ReLU 128 x 256 x 8 x 8 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 256 x 8 x 8 589,824 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 256 x 8 x 8 512 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 1,179,648 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 131,072 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "ReLU 128 x 512 x 4 x 4 0 False \n", "________________________________________________________________\n", "Conv2d 128 x 512 x 4 x 4 2,359,296 True \n", "________________________________________________________________\n", "BatchNorm2d 128 x 512 x 4 x 4 1,024 True \n", "________________________________________________________________\n", "AdaptiveAvgPool2d 128 x 512 x 1 x 1 0 False \n", "________________________________________________________________\n", "AdaptiveMaxPool2d 128 x 512 x 1 x 1 0 False \n", "________________________________________________________________\n", "Flatten 128 x 1024 0 False \n", "________________________________________________________________\n", "BatchNorm1d 128 x 1024 2,048 True \n", "________________________________________________________________\n", "Dropout 128 x 1024 0 False \n", "________________________________________________________________\n", "Linear 128 x 512 524,288 True \n", "________________________________________________________________\n", "ReLU 128 x 512 0 False \n", "________________________________________________________________\n", "BatchNorm1d 128 x 512 1,024 True \n", "________________________________________________________________\n", "Dropout 128 x 512 0 False \n", "________________________________________________________________\n", "Linear 128 x 37 18,944 True \n", "________________________________________________________________\n", "\n", "Total params: 21,830,976\n", "Total trainable params: 21,830,976\n", "Total non-trainable params: 0\n", "\n", "Optimizer used: \n", "Loss function: LabelSmoothingCrossEntropy()\n", "\n", "Model unfrozen\n", "\n", "Callbacks:\n", " - TrainEvalCallback\n", " - Recorder\n", " - ProgressCallback" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Load model, unfreeze layers and check it\n", "learn = learn.load('petbreeds_1')\n", "learn.unfreeze()\n", "learn.summary()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=8.317637839354575e-05, lr_steep=1.5848931980144698e-06)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we unfroze all layers of the model, **let's choose the learning rate of the loss minimum as lr_max (1e-3)**." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.5863081.3200020.82611600:10
11.4734281.2208810.85926900:10
21.3717131.1937000.85926900:10
31.2612361.1407580.87550700:10
41.1735851.1235510.86468200:10
51.0910301.0789060.88701000:10
61.0327971.0591320.88903900:10
70.9869271.0489180.88633300:10
80.9627471.0439760.88903900:10
90.9491351.0427420.89309900:10
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 1e-3\n", "lr_min = lr_max / 100\n", "learn.fit_one_cycle(10, lr_max=slice(lr_min,lr_max))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Baseline model accuracy: **89.31%**" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the training and validation loss\n", "learn.recorder.plot_loss()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_2.pth')" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_2')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4.2 Images of size 224" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# Learner with model resnet34\n", "dls = get_dls(64, 224)\n", "model = resnet34\n", "loss_func=LabelSmoothingCrossEntropy()\n", "\n", "learn = cnn_learner(dls, model, loss_func=loss_func, metrics=[accuracy])\n", "learn = learn.load('petbreeds_2')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Freeze all layers but the last (new) ones" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=0.0001737800776027143, lr_steep=7.585775847473997e-07)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.freeze()\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As only the last layers are unfrozen, **let's choose the learning rate 10 times less than the one of the loss minimum as lr_max (2e-4)**." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.0365740.9621420.93369400:14
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 2e-4\n", "learn.fit_one_cycle(1, lr_max=lr_max)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_3.pth')" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_3')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Unfreeze all layers and Discriminative Learning Rates" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "# Load model, unfreeze layers and check it\n", "learn = learn.load('petbreeds_3')\n", "learn.unfreeze()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=2.2908675418875645e-07, lr_steep=7.585775847473997e-07)" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we unfroze all layers of the model, **let's choose the learning rate of the loss minimum as lr_max (2e-4)**." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.0211680.9515570.93572400:17
10.9925510.9344610.94046000:16
20.9539750.9223660.93640100:16
30.9318000.9146010.93775400:17
40.9067660.9016510.94790300:16
50.8908500.9020560.94452000:17
60.8786380.8891220.94519600:16
70.8697080.8847800.94654900:17
80.8681990.8819760.95196200:17
90.8664600.8827810.94857900:16
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 2e-4\n", "lr_min = lr_max / 100\n", "learn.fit_one_cycle(10, lr_max=slice(lr_min,lr_max))" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", " \n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "0.9539918899536133" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Test Time Augmentation\n", "# notebook: https://github.com/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb\n", "learn.epoch = 0\n", "preds,targs = learn.tta()\n", "accuracy(preds, targs).item()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Baseline model accuracy: **95.40%**" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the training and validation loss\n", "learn.recorder.plot_loss()" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_4.pth')" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_4')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 5. Results analysis" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Load model and display the Confusion Matrix\n", "learn = learn.load('petbreeds_4')\n", "interp = ClassificationInterpretation.from_learner(learn)\n", "interp.plot_confusion_matrix(figsize=(12,12), dpi=60)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[('staffordshire_bull_terrier', 'american_pit_bull_terrier', 6),\n", " ('Egyptian_Mau', 'Bengal', 3),\n", " ('american_pit_bull_terrier', 'staffordshire_bull_terrier', 3),\n", " ('beagle', 'basset_hound', 3),\n", " ('english_cocker_spaniel', 'english_setter', 3),\n", " ('wheaten_terrier', 'havanese', 3),\n", " ('yorkshire_terrier', 'havanese', 3)]" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get categories with the most errors\n", "interp.most_confused(min_val=3)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Get the images with highest loss between prediction and true category\n", "interp.plot_top_losses(5, nrows=1)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "29db3c27dade4afaa97c632a550373e3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Dropdown(options=('Abyssinian', 'Bengal', 'Birman', 'Bombay', 'British_Shorthair', 'Egyptian_Ma…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Clean training and validation datasets\n", "cleaner = ImageClassifierCleaner(learn)\n", "cleaner" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# for idx in cleaner.delete(): cleaner.fns[idx].unlink()\n", "# for idx,cat in cleaner.change(): shutil.move(str(cleaner.fns[idx]), path/cat)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 6. Deeper model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 6.1 Images of size 128" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "# Learner with model resnet152\n", "dls = get_dls(128, 128)\n", "model = resnet152\n", "loss_func=LabelSmoothingCrossEntropy()\n", "\n", "learn = cnn_learner(dls, model, loss_func=loss_func, metrics=[accuracy])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Freeze all layers but the last (new) ones" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "# Check model and frozen layers\n", "learn.freeze()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=0.010000000149011612, lr_steep=0.0008317637839354575)" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As only the last layers are unfrozen, **let's choose the learning rate 10 times less than the one of the loss minimum as lr_max (1e-2)**." ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.9843881.4917350.80378900:20
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 1e-2\n", "learn.fit_one_cycle(1, lr_max=lr_max)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_5.pth')" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_5')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Unfreeze all layers and Discriminative Learning Rates" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "# Load model, unfreeze layers and check it\n", "learn = learn.load('petbreeds_5')\n", "learn.unfreeze()" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=2.290867705596611e-05, lr_steep=1.0964781722577754e-06)" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we unfroze all layers of the model, **let's choose the learning rate of the loss minimum as lr_max (2e-4)**." ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.4735131.3028160.83558900:25
11.4053061.2156460.86129900:25
21.3189261.1703920.86671200:24
31.2348481.1322290.88633300:24
41.1753941.1105050.89039200:24
51.1276271.0874280.89648200:25
61.0905111.0862750.89715800:24
71.0656421.0780290.89580500:25
81.0456741.0752110.89783500:24
91.0357251.0710480.89783500:25
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 2e-4\n", "lr_min = lr_max / 100\n", "learn.fit_one_cycle(10, lr_max=slice(lr_min,lr_max))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Deeper model accuracy: **89.78%**" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the training and validation loss\n", "learn.recorder.plot_loss()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_6.pth')" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_6')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 6.2 Images of size 224" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "# Learner with model resnet152\n", "dls = get_dls(64, 224)\n", "model = resnet152\n", "loss_func=LabelSmoothingCrossEntropy()\n", "\n", "learn = cnn_learner(dls, model, loss_func=loss_func, metrics=[accuracy])\n", "learn = learn.load('petbreeds_6')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Freeze all layers but the last (new) ones" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=2.2908675418875645e-07, lr_steep=1.5848931980144698e-06)" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.freeze()\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As only the last layers are unfrozen, **let's choose the learning rate 10 times less than the one of the loss minimum as lr_max (1e-3)**." ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.0706950.9798570.93166400:43
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 1e-3\n", "learn.fit_one_cycle(1, lr_max=lr_max)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_7.pth')" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_7')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Unfreeze all layers and Discriminative Learning Rates" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "# Load model, unfreeze layers and check it\n", "learn = learn.load('petbreeds_7')\n", "learn.unfreeze()" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=3.0199516913853586e-06, lr_steep=1.5848931980144698e-06)" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we unfroze all layers of the model, **let's choose the learning rate of the loss minimum as lr_max (2e-5)**." ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.0179130.9700470.93504700:56
11.0266010.9599220.93437100:56
21.0142950.9558360.93843000:56
30.9897640.9494530.93910700:56
40.9903860.9468920.93978400:56
50.9769850.9437990.93978400:55
60.9876670.9407620.94046000:56
70.9740660.9476780.94046000:56
80.9695180.9415960.93910700:55
90.9609030.9402210.94181300:56
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 2e-5\n", "lr_min = lr_max / 100\n", "learn.fit_one_cycle(10, lr_max=slice(lr_min,lr_max))" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", " \n", " \n", " \n", "
\n", " \n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "0.9492557644844055" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Test Time Augmentation\n", "# notebook: https://github.com/fastai/fastbook/blob/master/07_sizing_and_tta.ipynb\n", "learn.epoch = 0\n", "preds,targs = learn.tta()\n", "accuracy(preds, targs).item()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Deeper model accuracy: **94.92%**. Within our dataset, the use of a Deeper model does not help (accuracy of our baseline model: 95.4%). \n", "\n", "Let's test regularization techniques in the following paragraph." ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the training and validation loss\n", "learn.recorder.plot_loss()" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_8.pth')" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_8')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 7. Deeper model with regularisation" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": [ "# Learner with model resnet152\n", "dls = get_dls(64, 224)\n", "model = resnet152\n", "loss_func=LabelSmoothingCrossEntropy()\n", "\n", "learn = cnn_learner(dls, model, loss_func=loss_func, metrics=[accuracy])\n", "learn = learn.load('petbreeds_7')" ] }, { "cell_type": "markdown", "metadata": { "heading_collapsed": true }, "source": [ "### Dropout" ] }, { "cell_type": "code", "execution_count": 66, "metadata": { "hidden": true }, "outputs": [ { "data": { "text/plain": [ "Dropout(p=0.5, inplace=False)" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# The model has already a value of 50% of dropout\n", "learn.model[1][7]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Weight Decay" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Load model, unfreeze layers and check it\n", "learn.unfreeze()\n", "learn.opt_func" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "functools.partial(, sqr_mom=0.99, eps=1e-05, wd=0.1, decouple_wd=True)" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# let's increase weight decay from 0.01 to 0.1\n", "wd = 0.1\n", "learn.opt_func = partial(Adam, sqr_mom=0.99, eps=1e-05, wd=wd, decouple_wd=True)\n", "learn.opt_func" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "SuggestedLRs(lr_min=2.0892961401841602e-06, lr_steep=1.5848931980144698e-06)" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Learning rate\n", "learn.lr_find()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we unfroze all layers of the model, **let's choose the learning rate of the loss minimum as lr_max (2e-5)**." ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
epochtrain_lossvalid_lossaccuracytime
01.0277060.9716060.93166400:56
11.0078180.9572550.93572400:55
20.9937330.9568460.93775400:56
30.9835020.9475440.94181300:56
40.9891880.9521400.93707700:56
50.9813770.9455880.93775400:56
60.9769600.9431020.93707700:56
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80.9700890.9412250.93707700:56
90.9658930.9387870.93978400:56
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Train the model with lr_max and the fit_one_cycle() function on 1 epoch\n", "lr_max = 2e-5\n", "lr_min = lr_max / 100\n", "learn.fit_one_cycle(10, lr_max=slice(lr_min,lr_max))" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Display the training and validation loss\n", "learn.recorder.plot_loss()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Path('models/petbreeds_9.pth')" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Save the model\n", "learn.save('petbreeds_9')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 8. Export best model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "According to the accuracy, **we keep our baseline model as the best one with a validation accuracy of 95.4%**." ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [], "source": [ "# Export best model\n", "learn = learn.load('petbreeds_4')\n", "learn.export()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 9. Turning your model into a Web App" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Fonte: notebook [02_production.ipynb](https://github.com/fastai/fastbook/blob/master/02_production.ipynb)" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [], "source": [ "# Get model for inference\n", "learn_inf = load_learner('export.pkl')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating a notebook App from the model" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [], "source": [ "# Button to upload image\n", "btn_upload = widgets.FileUpload()\n", "\n", "# Button to classify\n", "btn_run = widgets.Button(description='Classify')\n", "\n", "# Display a thumb of the image\n", "out_pl = widgets.Output()\n", "out_pl.clear_output()\n", "\n", "# Calculation and display of the category prediction\n", "lbl_pred = widgets.Label()\n", "def on_click_classify(change):\n", " img = PILImage.create(btn_upload.data[-1])\n", " out_pl.clear_output()\n", " with out_pl: display(img.to_thumb(128,128))\n", " pred,pred_idx,probs = learn_inf.predict(img)\n", " lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'\n", "btn_run.on_click(on_click_classify)" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "eca8e1bbfee44f85be2fe77b4b954e4c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Label(value='Select your animal!'), FileUpload(value={}, description='Upload'), Button(descript…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Run app\n", "VBox([widgets.Label('Select your animal!'), \n", " btn_upload, btn_run, out_pl, lbl_pred])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Turning your notebook into a (real) Web App" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "fastai explains in the notebook [02_production.ipynb](https://github.com/fastai/fastbook/blob/master/02_production.ipynb) how to create a Web App using your `export.pkl` file on a free Web service like [Binder](https://mybinder.org/) + [Voilà](https://voila.readthedocs.io/en/stable/using.html). You can as well read and apply this [Guide on how to duplicate the fastai bear_voila app on Binder](https://forum.ailab.unb.br/t/binder-and-fastai2/90/2) (if you need help about git, read this [git - the simple guide](https://rogerdudler.github.io/git-guide/)).\n", "\n", "This is a great way for your first *well-chosen users* (parents or friends for example, or even a first client) to use your Web App, which will give you initial feedback and new data, which in turn will allow you to improve both your model and your Web App interface (this is *The Virtuous Cycle of AI* of Andrew Ng explained in the [AI Transformation Playbook](https://landing.ai/ai-transformation-playbook/)).\n", "\n", "Of course, this free service is not sufficient for a professional Web App that you are going to develop alongside this first version. \n", "\n", "To do that, check the following paragraph for tips and have fun!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Version 1 of our \"Dog & Cat Breeds Recognizer for Veterinary Clinics\"**\n", "- Github: https://github.com/piegu/petsbreeds_voila\n", "- Web App: https://mybinder.org/v2/gh/piegu/petsbreeds_voila/master?urlpath=%2Fvoila%2Frender%2Fpets_classifier.ipynb" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![](https://raw.githubusercontent.com/piegu/petsbreeds_voila/master/images/webapp_v1.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 10. Turning your Web App into a startup product" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This paragraph is written in the post [Product based on a Deep Learning model (by fastai v2)](https://medium.com/@pierre_guillou/product-based-on-a-deep-learning-model-by-fastai-v2-8bd3371ba11c). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## End of the notebook but about our startup product: to be continued..." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.2" } }, "nbformat": 4, "nbformat_minor": 4 }