{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yenlung/Python-AI-Book/blob/main/%E5%86%92%E9%9A%AA17_Cooper_%E7%9C%9F%E7%9A%84%E6%98%AF%E9%A6%AC%E7%88%BE%E6%BF%9F%E6%96%AF%E5%97%8E%EF%BC%9F%E4%BD%BF%E7%94%A8%E5%90%8D%E9%96%80_CNN_%E5%B9%AB%E5%8A%A9%E8%BE%A8%E8%AD%98%EF%BC%81.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zAg2Ukl4zSCN"
      },
      "source": [
        "%matplotlib inline\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v5F7KOZIzWE3"
      },
      "source": [
        "from tensorflow.keras.applications import ResNet50\n",
        "from tensorflow.keras.applications.resnet50 import preprocess_input\n",
        "from tensorflow.keras.preprocessing.image import load_img, img_to_array"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-OB0gc2z6lAy"
      },
      "source": [
        "### 1. 讀入資料集"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget --no-check-certificate \\\n",
        "    https://github.com/yenlung/Python-AI-Book/raw/main/dataset/Cooper_img.zip \\\n",
        "    -O /content/Cooper.zip"
      ],
      "metadata": {
        "id": "wYZOufOsXdkS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "38c26d8b-7eff-4476-a882-72971e34aae8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-08-16 04:09:13--  https://github.com/yenlung/Python-AI-Book/raw/main/dataset/Cooper_img.zip\n",
            "Resolving github.com (github.com)... 20.205.243.166\n",
            "Connecting to github.com (github.com)|20.205.243.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://raw.githubusercontent.com/yenlung/Python-AI-Book/main/dataset/Cooper_img.zip [following]\n",
            "--2022-08-16 04:09:13--  https://raw.githubusercontent.com/yenlung/Python-AI-Book/main/dataset/Cooper_img.zip\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.111.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1023448 (999K) [application/zip]\n",
            "Saving to: ‘/content/Cooper.zip’\n",
            "\n",
            "\r/content/Cooper.zip   0%[                    ]       0  --.-KB/s               \r/content/Cooper.zip 100%[===================>] 999.46K  --.-KB/s    in 0.008s  \n",
            "\n",
            "2022-08-16 04:09:13 (129 MB/s) - ‘/content/Cooper.zip’ saved [1023448/1023448]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import zipfile\n",
        "\n",
        "local_zip = '/content/Cooper.zip'\n",
        "zip_ref = zipfile.ZipFile(local_zip, 'r')\n",
        "zip_ref.extractall('/content')\n",
        "zip_ref.close()"
      ],
      "metadata": {
        "id": "HzEj9J40uUmG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "base_dir = '/content/'\n",
        "cooper_dir = 'Cooper/'\n",
        "thedir = base_dir + cooper_dir"
      ],
      "metadata": {
        "id": "D36cSpkC1eYj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cooper = [f\"{cooper_dir}/cooper0{i}.jpg\" for i in range(1, 7)]"
      ],
      "metadata": {
        "id": "z5SVzJVLCTdp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3icBxNl68NG9"
      },
      "source": [
        "### 2. 讀入一隻 Cooper 試試"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P5nukG2h8Yhb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "74fad76e-4621-4d76-b7b2-50be9058dbdb"
      },
      "source": [
        "img = load_img(cooper[2], target_size = (224, 224))\n",
        "plt.imshow(img)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f5817bd5e50>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HibwqVWk8lam"
      },
      "source": [
        "x = img_to_array(img)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dkyV50sK8o83"
      },
      "source": [
        "### 3. 讀入 ResNet50 及 labels"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qn9j7-MQ-atX"
      },
      "source": [
        "with open('imagenet-classes.txt') as f:\n",
        "    labels = [line.strip() for line in f.readlines()]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "labels[:10]"
      ],
      "metadata": {
        "id": "KDgQtc_iWmOi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "49fb937a-f3fe-4075-8cbb-b16a8662a39e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['tench 鯉魚類淡水魚',\n",
              " 'goldfish 金魚',\n",
              " 'great white shark 大白鯊',\n",
              " 'tiger shark 虎鯊',\n",
              " 'hammerhead 鎚頭鯊',\n",
              " 'electric ray 電魟',\n",
              " 'stingray 魟魚',\n",
              " 'cock 公雞',\n",
              " 'hen 母雞',\n",
              " 'ostrich 鴕鳥']"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RLOpj8o98tnN"
      },
      "source": [
        "model = ResNet50()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "265lhBQ7-szv"
      },
      "source": [
        "x = img_to_array(img).reshape(1, 224, 224, 3)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "olS9vJvZ_CDY"
      },
      "source": [
        "inp = preprocess_input(x)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "outp = model.predict([inp])"
      ],
      "metadata": {
        "id": "ecQscEo7ln5h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IT4ylWnp_QBP"
      },
      "source": [
        "y_pred = np.argmax(model.predict(inp), axis=-1)[0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j6Rtvv8q_i88",
        "outputId": "7de60058-db79-4751-bcb2-edbe913a2800"
      },
      "source": [
        "print(f\"ResNet 覺得是 {labels[y_pred]}\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ResNet 覺得是 Maltese dog 馬爾濟斯犬\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C717d2pS_vFg"
      },
      "source": [
        "### 4. 做成 Web App!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dtBQpXWVAbRX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5dd2c47d-5e26-4951-f050-257b5640ff0c"
      },
      "source": [
        "!pip install gradio"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gradio\n",
            "  Downloading gradio-2.9.1-py3-none-any.whl (1.7 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.7 MB 5.3 MB/s \n",
            "\u001b[?25hCollecting orjson\n",
            "  Downloading orjson-3.6.7-cp37-cp37m-manylinux_2_24_x86_64.whl (255 kB)\n",
            "\u001b[K     |████████████████████████████████| 255 kB 43.0 MB/s \n",
            "\u001b[?25hCollecting markdown-it-py[linkify,plugins]\n",
            "  Downloading markdown_it_py-2.0.1-py3-none-any.whl (84 kB)\n",
            "\u001b[K     |████████████████████████████████| 84 kB 2.5 MB/s \n",
            "\u001b[?25hCollecting aiohttp\n",
            "  Downloading aiohttp-3.8.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)\n",
            "\u001b[K     |████████████████████████████████| 1.1 MB 38.8 MB/s \n",
            "\u001b[?25hCollecting analytics-python\n",
            "  Downloading analytics_python-1.4.0-py2.py3-none-any.whl (15 kB)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from gradio) (1.3.5)\n",
            "Collecting pycryptodome\n",
            "  Downloading pycryptodome-3.14.1-cp35-abi3-manylinux2010_x86_64.whl (2.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 2.0 MB 36.8 MB/s \n",
            "\u001b[?25hCollecting python-multipart\n",
            "  Downloading python-multipart-0.0.5.tar.gz (32 kB)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from gradio) (1.21.5)\n",
            "Collecting pydub\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Collecting uvicorn\n",
            "  Downloading uvicorn-0.17.6-py3-none-any.whl (53 kB)\n",
            "\u001b[K     |████████████████████████████████| 53 kB 1.9 MB/s \n",
            "\u001b[?25hCollecting paramiko\n",
            "  Downloading paramiko-2.10.3-py2.py3-none-any.whl (211 kB)\n",
            "\u001b[K     |████████████████████████████████| 211 kB 46.0 MB/s \n",
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            "Building wheels for collected packages: ffmpy, python-multipart\n",
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            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4712 sha256=5eb5d8e2cca4a014522659585e479f9dfc3635667989844b2f9df72ea9f9eaae\n",
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            "Successfully built ffmpy python-multipart\n",
            "Installing collected packages: sniffio, mdurl, uc-micro-py, multidict, markdown-it-py, frozenlist, anyio, yarl, starlette, pynacl, pydantic, monotonic, mdit-py-plugins, linkify-it-py, h11, cryptography, bcrypt, backoff, asynctest, async-timeout, asgiref, aiosignal, uvicorn, python-multipart, pydub, pycryptodome, paramiko, orjson, ffmpy, fastapi, analytics-python, aiohttp, gradio\n",
            "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 analytics-python-1.4.0 anyio-3.5.0 asgiref-3.5.0 async-timeout-4.0.2 asynctest-0.13.0 backoff-1.10.0 bcrypt-3.2.0 cryptography-36.0.2 fastapi-0.75.1 ffmpy-0.3.0 frozenlist-1.3.0 gradio-2.9.1 h11-0.13.0 linkify-it-py-1.0.3 markdown-it-py-2.0.1 mdit-py-plugins-0.3.0 mdurl-0.1.0 monotonic-1.6 multidict-6.0.2 orjson-3.6.7 paramiko-2.10.3 pycryptodome-3.14.1 pydantic-1.9.0 pydub-0.25.1 pynacl-1.5.0 python-multipart-0.0.5 sniffio-1.2.0 starlette-0.17.1 uc-micro-py-1.0.1 uvicorn-0.17.6 yarl-1.7.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jnMsdIxgAd9X"
      },
      "source": [
        "import gradio as gr"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 643
        },
        "id": "mCRqeXi_AiFp",
        "outputId": "17eb8e05-c310-4e22-d3af-bddf042fecac"
      },
      "source": [
        "def classify_image(inp):\n",
        "    inp = inp.reshape((-1, 224, 224, 3))\n",
        "    inp = preprocess_input(inp)\n",
        "    prediction = resnet.predict(inp).flatten()\n",
        "    return {labels[i]: float(prediction[i]) for i in range(1000)}\n",
        "\n",
        "image = gr.inputs.Image(shape=(224, 224), label=\"請上傳一張圖片\")\n",
        "label = gr.outputs.Label(num_top_classes=3, label=\"模型猜測的答案是：\")\n",
        "sample_images = [[f'cooper0{i}.jpg'] for i in range(1, 7)]\n",
        "\n",
        "gr.Interface(fn=classify_image, \n",
        "             inputs=image, \n",
        "             outputs=label, \n",
        "             examples=sample_images).launch(share=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n",
            "Running on public URL: https://14329.gradio.app\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting, check out Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.lib.display.IFrame at 0x7f6623f9dad0>"
            ],
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"900\"\n",
              "            height=\"500\"\n",
              "            src=\"https://14329.gradio.app\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "        ></iframe>\n",
              "        "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(<fastapi.applications.FastAPI at 0x7f662599b6d0>,\n",
              " 'http://127.0.0.1:7860/',\n",
              " 'https://14329.gradio.app')"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "198QmSN1riLW"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}