Copia_de_funka_alibi1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/danielsoy/ALOCC-CVPR2018/blob/master/Copia_de_funka_alibi1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "Fl-NAckBZCvb"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from PIL import Image\n",
        "import glob\n",
        "import os\n",
        "import shutil\n",
        "from collections import Counter\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras.layers import Conv2D, Conv2DTranspose, UpSampling2D, Dense, Layer, Reshape, InputLayer, Flatten, Input, MaxPooling2D\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/SeldonIO/alibi-detect.git\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XxQx9zNQZavW",
        "outputId": "65773363-96cd-4cf2-872e-ce6f2eb0c726"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'alibi-detect'...\n",
            "remote: Enumerating objects: 4042, done.\u001b[K\n",
            "remote: Counting objects: 100% (4/4), done.\u001b[K\n",
            "remote: Compressing objects: 100% (4/4), done.\u001b[K\n",
            "remote: Total 4042 (delta 0), reused 0 (delta 0), pack-reused 4038\u001b[K\n",
            "Receiving objects: 100% (4042/4042), 26.09 MiB | 31.40 MiB/s, done.\n",
            "Resolving deltas: 100% (2586/2586), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/alibi-detect/alibi_detect/od"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Haxc9zqlaUlZ",
        "outputId": "6aebfe7d-dc57-42ce-9f31-e92212f24446"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/alibi-detect/alibi_detect/od\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install alibi-detect"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "SjGwpKBnaD6h",
        "outputId": "0a17e353-6a79-480d-fc2d-1cdd3fe5ee34"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting alibi-detect\n",
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            "    Found existing installation: wrapt 1.13.3\n",
            "    Uninstalling wrapt-1.13.3:\n",
            "      Successfully uninstalled wrapt-1.13.3\n",
            "  Attempting uninstall: tensorflow-estimator\n",
            "    Found existing installation: tensorflow-estimator 2.7.0\n",
            "    Uninstalling tensorflow-estimator-2.7.0:\n",
            "      Successfully uninstalled tensorflow-estimator-2.7.0\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.7.0\n",
            "    Uninstalling tensorboard-2.7.0:\n",
            "      Successfully uninstalled tensorboard-2.7.0\n",
            "  Attempting uninstall: keras\n",
            "    Found existing installation: keras 2.7.0\n",
            "    Uninstalling keras-2.7.0:\n",
            "      Successfully uninstalled keras-2.7.0\n",
            "  Attempting uninstall: flatbuffers\n",
            "    Found existing installation: flatbuffers 2.0\n",
            "    Uninstalling flatbuffers-2.0:\n",
            "      Successfully uninstalled flatbuffers-2.0\n",
            "  Attempting uninstall: tensorflow-probability\n",
            "    Found existing installation: tensorflow-probability 0.15.0\n",
            "    Uninstalling tensorflow-probability-0.15.0:\n",
            "      Successfully uninstalled tensorflow-probability-0.15.0\n",
            "  Attempting uninstall: tensorflow\n",
            "    Found existing installation: tensorflow 2.7.0\n",
            "    Uninstalling tensorflow-2.7.0:\n",
            "      Successfully uninstalled tensorflow-2.7.0\n",
            "Successfully installed alibi-detect-0.8.0 clang-5.0 flatbuffers-1.12 huggingface-hub-0.2.1 keras-2.6.0 pyyaml-6.0 sacremoses-0.0.46 tensorboard-2.6.0 tensorflow-2.6.2 tensorflow-estimator-2.6.0 tensorflow-probability-0.12.2 tokenizers-0.10.3 transformers-4.14.1 typing-extensions-3.7.4.3 wrapt-1.12.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "flatbuffers",
                  "keras",
                  "tensorboard",
                  "tensorflow",
                  "typing_extensions",
                  "wrapt"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from alibi_detect.od import OutlierAE\n",
        "from alibi_detect.utils.visualize import plot_instance_score, plot_feature_outlier_image"
      ],
      "metadata": {
        "id": "i72rg-awdPJ9"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive"
      ],
      "metadata": {
        "id": "r7O3X1bBe_XT"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "PttdKLmtfL4s",
        "outputId": "cd6ea2eb-c593-48b3-f0b0-d071549bd877",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "3gfxDil0fNWC"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "I1QdiVU5e-2w"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "Q6l5Z7enZCvd"
      },
      "outputs": [],
      "source": [
        "def img_to_np(path, resize = True):  \n",
        "    img_array = []\n",
        "    fpaths = glob.glob(path, recursive=True)\n",
        "    for fname in fpaths:\n",
        "        img = Image.open(fname).convert(\"RGB\")\n",
        "        if(resize): img = img.resize((64,64))\n",
        "        img_array.append(np.asarray(img))\n",
        "    images = np.array(img_array)\n",
        "    return images\n",
        "  \n",
        "path_train = \"/content/drive/MyDrive/data/test/bad.jpg\"\n",
        "path_test = \"/content/drive/MyDrive/data/train/ok.jpg\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "ipNsY6wpZCve"
      },
      "outputs": [],
      "source": [
        "train = img_to_np(path_train)\n",
        "test = img_to_np(path_test)\n",
        "train = train.astype('float32') / 255.\n",
        "test = test.astype('float32') / 255."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "10fzGSHIZCve"
      },
      "outputs": [],
      "source": [
        "encoding_dim = 1024\n",
        "dense_dim = [8, 8, 128]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "Xdh42-tFZCvf"
      },
      "outputs": [],
      "source": [
        "encoder_net = tf.keras.Sequential(\n",
        "  [\n",
        "      InputLayer(input_shape=train[0].shape),\n",
        "      Conv2D(64, 4, strides=2, padding='same', activation=tf.nn.relu),\n",
        "      Conv2D(128, 4, strides=2, padding='same', activation=tf.nn.relu),\n",
        "      Conv2D(512, 4, strides=2, padding='same', activation=tf.nn.relu),\n",
        "      Flatten(),\n",
        "      Dense(encoding_dim,)\n",
        "  ])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "s0jcLzhvZCvf"
      },
      "outputs": [],
      "source": [
        "decoder_net = tf.keras.Sequential(\n",
        "  [\n",
        "      InputLayer(input_shape=(encoding_dim,)),\n",
        "      Dense(np.prod(dense_dim)),\n",
        "      Reshape(target_shape=dense_dim),\n",
        "      Conv2DTranspose(256, 4, strides=2, padding='same', activation=tf.nn.relu),\n",
        "      Conv2DTranspose(64, 4, strides=2, padding='same', activation=tf.nn.relu),\n",
        "      Conv2DTranspose(3, 4, strides=2, padding='same', activation='sigmoid')\n",
        "  ])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "8QD1ARcVZCvf"
      },
      "outputs": [],
      "source": [
        "od = OutlierAE( threshold = 0.001,\n",
        "                encoder_net=encoder_net,\n",
        "                decoder_net=decoder_net)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "typcdEtiZCvg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "40eb43a3-199b-4eb2-9e9f-d816827847bb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/keras/optimizer_v2/adam.py:105: UserWarning:\n",
            "\n",
            "The `lr` argument is deprecated, use `learning_rate` instead.\n",
            "\n"
          ]
        }
      ],
      "source": [
        "adam = tf.keras.optimizers.Adam(lr=1e-4)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "QvB3msfGZCvg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "187e437a-cb6c-4554-cde4-a7bc2097d138"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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          ]
        }
      ],
      "source": [
        "od.fit(train, epochs=100, verbose=True,\n",
        "       optimizer = adam)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "KWz2yHntZCvh"
      },
      "outputs": [],
      "source": [
        "od.infer_threshold(test, threshold_perc=95)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "RPVQUw7SZCvh"
      },
      "outputs": [],
      "source": [
        "preds = od.predict(test, outlier_type='instance',\n",
        "            return_instance_score=True,\n",
        "            return_feature_score=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "l8SK4_wQZCvh"
      },
      "outputs": [],
      "source": [
        "for i, fpath in enumerate(glob.glob(path_test)):\n",
        "    if(preds['data']['is_outlier'][i] == 1):\n",
        "        source = fpath\n",
        "        shutil.copy(source, 'img\\\\')\n",
        "        \n",
        "filenames = [os.path.basename(x) for x in glob.glob(path_test, recursive=True)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "-ohnBYUMZCvi"
      },
      "outputs": [],
      "source": [
        "dict1 = {'Filename': filenames,\n",
        "     'instance_score': preds['data']['instance_score'],\n",
        "     'is_outlier': preds['data']['is_outlier']}\n",
        "     \n",
        "df = pd.DataFrame(dict1)\n",
        "df_outliers = df[df['is_outlier'] == 1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "_D-3YcqsZCvi",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1999ba20-a4c8-439a-f45a-60a57bfe72f6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Empty DataFrame\n",
            "Columns: [Filename, instance_score, is_outlier]\n",
            "Index: []\n"
          ]
        }
      ],
      "source": [
        "print(df_outliers)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "qcaDweyqZCvi"
      },
      "outputs": [],
      "source": [
        "recon = od.ae(test).numpy()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "ytpe0XgwZCvj",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        },
        "outputId": "46c5d98a-3c1e-42d7-f0a9-7b041d599390"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 5 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plot_feature_outlier_image(preds, test, \n",
        "                           X_recon=recon,  \n",
        "                           max_instances=5,\n",
        "                           outliers_only=False,\n",
        "                           figsize=(15,15))"
      ]
    }
  ],
  "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": "3.6.4"
    },
    "colab": {
      "name": "Copia de funka alibi1.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}