Simple_imageClassifier_original_Data.ipynb

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  "metadata": {
    "colab": {
      "name": "Simple_imageClassifier_original_Data.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "TPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Sonochy/UoA_school_mission-12/blob/dev/Simple_imageClassifier_original_Data.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q8cCQ4tYaxOp",
        "colab_type": "text"
      },
      "source": [
        "コードをクローン"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-hSEnfvwaUM8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "outputId": "c6d9d913-9890-4e66-886e-69a72895c7ed"
      },
      "source": [
        "!rm -r ./Simple_imageClassifier\n",
        "!git clone -b dev https://github.com/Sonochy/Simple_imageClassifier.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Simple_imageClassifier'...\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R6HY5o74v1tT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OaL7p8nXv5tZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "os.chdir(\"Simple_imageClassifier\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ff3ZpHoZ7jl-",
        "colab_type": "text"
      },
      "source": [
        "学習"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e1wa_gd5u999",
        "colab_type": "code",
        "outputId": "a01c7718-12ec-4fa2-c5f3-e71c377b22d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "!python train.py --epoch 20 --model_name test"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n",
            "Lists do not exist. Create list from ./data.\n",
            "train samples:  407\n",
            "test samples:  101\n",
            "building the model ...\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3576: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1020: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3005: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "Train on 407 samples, validate on 101 samples\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
            "\n",
            "2020-03-04 12:36:09.081580: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n",
            "2020-03-04 12:36:09.081923: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1aff2c0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-03-04 12:36:09.081991: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-03-04 12:36:09.084312: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-03-04 12:36:09.086748: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
            "2020-03-04 12:36:09.086794: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (db947ef48ffe): /proc/driver/nvidia/version does not exist\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1068: The name tf.summary.histogram is deprecated. Please use tf.compat.v1.summary.histogram instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1112: The name tf.summary.image is deprecated. Please use tf.compat.v1.summary.image instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1122: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1125: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.\n",
            "\n",
            "Epoch 1/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 1.8611 - acc: 0.3194 - val_loss: 0.9085 - val_acc: 0.5842\n",
            "\n",
            "Epoch 00001: val_acc improved from -inf to 0.58416, saving model to ./20200304123606/acc_best_test.model\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/callbacks.py:1265: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead.\n",
            "\n",
            "Epoch 2/20\n",
            "407/407 [==============================] - 34s 83ms/step - loss: 1.0725 - acc: 0.6339 - val_loss: 0.5531 - val_acc: 0.7327\n",
            "\n",
            "Epoch 00002: val_acc improved from 0.58416 to 0.73267, saving model to ./20200304123606/acc_best_test.model\n",
            "Epoch 3/20\n",
            "407/407 [==============================] - 34s 83ms/step - loss: 0.6719 - acc: 0.7494 - val_loss: 0.9602 - val_acc: 0.6238\n",
            "\n",
            "Epoch 00003: val_acc did not improve from 0.73267\n",
            "Epoch 4/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 0.7246 - acc: 0.7592 - val_loss: 0.4870 - val_acc: 0.8812\n",
            "\n",
            "Epoch 00004: val_acc improved from 0.73267 to 0.88119, saving model to ./20200304123606/acc_best_test.model\n",
            "Epoch 5/20\n",
            "407/407 [==============================] - 36s 87ms/step - loss: 0.3584 - acc: 0.8821 - val_loss: 0.3346 - val_acc: 0.9307\n",
            "\n",
            "Epoch 00005: val_acc improved from 0.88119 to 0.93069, saving model to ./20200304123606/acc_best_test.model\n",
            "Epoch 6/20\n",
            "407/407 [==============================] - 35s 86ms/step - loss: 0.5046 - acc: 0.8428 - val_loss: 0.3462 - val_acc: 0.9010\n",
            "\n",
            "Epoch 00006: val_acc did not improve from 0.93069\n",
            "Epoch 7/20\n",
            "407/407 [==============================] - 35s 85ms/step - loss: 0.3936 - acc: 0.8428 - val_loss: 0.6679 - val_acc: 0.8218\n",
            "\n",
            "Epoch 00007: val_acc did not improve from 0.93069\n",
            "Epoch 8/20\n",
            "407/407 [==============================] - 35s 85ms/step - loss: 0.2014 - acc: 0.9337 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00008: val_acc did not improve from 0.93069\n",
            "Epoch 9/20\n",
            "407/407 [==============================] - 35s 85ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00009: val_acc did not improve from 0.93069\n",
            "Epoch 10/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00010: val_acc did not improve from 0.93069\n",
            "Epoch 11/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00011: val_acc did not improve from 0.93069\n",
            "Epoch 12/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00012: val_acc did not improve from 0.93069\n",
            "Epoch 13/20\n",
            "407/407 [==============================] - 34s 85ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00013: val_acc did not improve from 0.93069\n",
            "Epoch 14/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00014: val_acc did not improve from 0.93069\n",
            "Epoch 15/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00015: val_acc did not improve from 0.93069\n",
            "Epoch 16/20\n",
            "407/407 [==============================] - 34s 83ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00016: val_acc did not improve from 0.93069\n",
            "Epoch 17/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00017: val_acc did not improve from 0.93069\n",
            "Epoch 18/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00018: val_acc did not improve from 0.93069\n",
            "Epoch 19/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00019: val_acc did not improve from 0.93069\n",
            "Epoch 20/20\n",
            "407/407 [==============================] - 34s 84ms/step - loss: 12.7915 - acc: 0.2064 - val_loss: 13.5647 - val_acc: 0.1584\n",
            "\n",
            "Epoch 00020: val_acc did not improve from 0.93069\n",
            "dict_keys(['val_loss', 'val_acc', 'loss', 'acc'])\n",
            "<Figure size 640x480 with 2 Axes>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WlHxcBv97np9",
        "colab_type": "text"
      },
      "source": [
        "test画像一覧表示"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k20fY3Gwsojc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "b7032606-d55e-421f-9a67-9b4bcf714547"
      },
      "source": [
        "%cat ./list/test.lst"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "./data/Ccp/3575.png\n",
            "./data/Ccfs/36.png\n",
            "./data/Ccp/14593.png\n",
            "./data/Ccp/15022.png\n",
            "./data/Ccp/14592.png\n",
            "./data/Ccfs/143.png\n",
            "./data/Ccp/3889.png\n",
            "./data/Mp/163.png\n",
            "./data/Shadow/233.png\n",
            "./data/Ccfs/134.png\n",
            "./data/Ccfs/238.png\n",
            "./data/Mp/174.png\n",
            "./data/Ccp/15021.png\n",
            "./data/Ccfh/69.png\n",
            "./data/Ccp/3670.png\n",
            "./data/Shadow/1009.png\n",
            "./data/Ccp/3782.png\n",
            "./data/Ccfs/121.png\n",
            "./data/Ccfh/822.png\n",
            "./data/Ccp/15141.png\n",
            "./data/Ccfs/281.png\n",
            "./data/Ccp/14512.png\n",
            "./data/Ccfh/1627.png\n",
            "./data/Ccfh/435.png\n",
            "./data/Ccfh/141.png\n",
            "./data/Ccp/3576.png\n",
            "./data/Ccfh/5653.png\n",
            "./data/Mp/57.png\n",
            "./data/Shadow/319.png\n",
            "./data/Ccfh/164.png\n",
            "./data/Ccfh/227.png\n",
            "./data/Ccp/3840.png\n",
            "./data/Shadow/227.png\n",
            "./data/Ccfs/3.png\n",
            "./data/Ccfs/207.png\n",
            "./data/Mp/54.png\n",
            "./data/Mp/5198.png\n",
            "./data/Ccp/1716.png\n",
            "./data/Shadow/716.png\n",
            "./data/Ccfh/337.png\n",
            "./data/Ccp/3872.png\n",
            "./data/Ccp/749.png\n",
            "./data/Ccp/399.png\n",
            "./data/Ccfs/21.png\n",
            "./data/Ccp/3852.png\n",
            "./data/Shadow/583.png\n",
            "./data/Shadow/449.png\n",
            "./data/Ccfs/277.png\n",
            "./data/Mp/5812.png\n",
            "./data/Ccp/15140.png\n",
            "./data/Mp/84.png\n",
            "./data/Ccfs/241.png\n",
            "./data/Mp/5079.png\n",
            "./data/Shadow/195.png\n",
            "./data/Ccp/3671.png\n",
            "./data/Ccfh/219.png\n",
            "./data/Ccfs/48.png\n",
            "./data/Ccfs/2668.png\n",
            "./data/Ccfs/46.png\n",
            "./data/Mp/176.png\n",
            "./data/Mp/180.png\n",
            "./data/Shadow/504.png\n",
            "./data/Shadow/209.png\n",
            "./data/Ccp/3910.png\n",
            "./data/Ccp/3577.png\n",
            "./data/Ccp/14554.png\n",
            "./data/Shadow/615.png\n",
            "./data/Shadow/3100.png\n",
            "./data/Ccp/15181.png\n",
            "./data/Shadow/750.png\n",
            "./data/Shadow/1116.png\n",
            "./data/Ccfh/1587.png\n",
            "./data/Ccp/15142.png\n",
            "./data/Ccfh/712.png\n",
            "./data/Ccp/14513.png\n",
            "./data/Mp/165.png\n",
            "./data/Ccp/855.png\n",
            "./data/Ccfs/332.png\n",
            "./data/Shadow/531.png\n",
            "./data/Ccfs/60.png\n",
            "./data/Mp/6.png\n",
            "./data/Mp/8.png\n",
            "./data/Ccfh/1492.png\n",
            "./data/Ccfs/1.png\n",
            "./data/Mf/1139.png\n",
            "./data/Shadow/3021.png\n",
            "./data/Shadow/306.png\n",
            "./data/Ccfs/172.png\n",
            "./data/Mp/15.png\n",
            "./data/Ccfh/501.png\n",
            "./data/Ccfh/697.png\n",
            "./data/Ccfs/41.png\n",
            "./data/Shadow/811.png\n",
            "./data/Ccp/3650.png\n",
            "./data/Ccfh/5958.png\n",
            "./data/Ccp/3550.png\n",
            "./data/Ccp/3851.png\n",
            "./data/Ccfs/261.png\n",
            "./data/Ccp/3653.png\n",
            "./data/Ccfs/8.png\n",
            "./data/Mf/381.png"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dOuAkYRv7t5W",
        "colab_type": "text"
      },
      "source": [
        "test実行"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WiwQLdBKvV5A",
        "colab_type": "code",
        "outputId": "9ac8b5f8-9808-4e5a-fafd-ba89ad3e6bcb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "%ls -l\n",
        "!python test.py --model ./2020*/acc_best_test.model"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total 96\n",
            "drwxr-xr-x 2 root root  4096 Mar  4 12:53 \u001b[0m\u001b[01;34m20200304123606\u001b[0m/\n",
            "drwxr-xr-x 8 root root  4096 Mar  4 12:36 \u001b[01;34mdata\u001b[0m/\n",
            "-rw-r--r-- 1 root root  1064 Mar  4 12:36 LICENSE\n",
            "drwxr-xr-x 2 root root  4096 Mar  4 12:36 \u001b[01;34mlist\u001b[0m/\n",
            "-rw-r--r-- 1 root root 47642 Mar  4 12:36 model.png\n",
            "drwxr-xr-x 2 root root  4096 Mar  4 12:36 \u001b[01;34m__pycache__\u001b[0m/\n",
            "-rw-r--r-- 1 root root   104 Mar  4 12:36 README.md\n",
            "drwxr-xr-x 2 root root  4096 Mar  4 12:36 \u001b[01;34mtest\u001b[0m/\n",
            "-rw-r--r-- 1 root root  2573 Mar  4 12:36 test.py\n",
            "-rw-r--r-- 1 root root  7049 Mar  4 12:36 train.py\n",
            "-rw-r--r-- 1 root root  4409 Mar  4 12:36 utils.py\n",
            "Using TensorFlow backend.\n",
            "Lists exist in ./list. Use the test list.\n",
            "test samples:  101\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:4267: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:203: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
            "\n",
            "2020-03-04 12:53:22.679508: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2300000000 Hz\n",
            "2020-03-04 12:53:22.679760: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xa0bf100 initialized for platform Host (this does not guarantee that XLA will be used). Devices:\n",
            "2020-03-04 12:53:22.679796: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version\n",
            "2020-03-04 12:53:22.682279: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1\n",
            "2020-03-04 12:53:22.684407: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n",
            "2020-03-04 12:53:22.684456: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (db947ef48ffe): /proc/driver/nvidia/version does not exist\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/optimizers.py:793: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:3576: The name tf.log is deprecated. Please use tf.math.log instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1033: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead.\n",
            "\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/keras/backend/tensorflow_backend.py:1020: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead.\n",
            "\n",
            "./data/Ccp/3575.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.01 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/36.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.04 Ccp: 0.10 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/14593.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.99 Mf: 0.00 Ccfs: 0.01 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15022.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.02 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.01 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/14592.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.03 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/143.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.05 Ccp: 0.08 Mf: 0.00 Ccfs: 0.86 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3889.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.91 Mf: 0.00 Ccfs: 0.09 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/163.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.67 Ccp: 0.01 Mf: 0.01 Ccfs: 0.30 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/233.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/134.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.02 Ccp: 0.14 Mf: 0.00 Ccfs: 0.83 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/238.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.11 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/174.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.48 Ccp: 0.02 Mf: 0.01 Ccfs: 0.48 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15021.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.94 Mf: 0.00 Ccfs: 0.06 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/69.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 0.98 Shadow: 0.00 Mp: 0.00 Ccp: 0.02 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3670.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.93 Mf: 0.00 Ccfs: 0.07 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/1009.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3782.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/121.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.01 Ccp: 0.22 Mf: 0.00 Ccfs: 0.76 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/822.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15141.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.03 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/281.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.01 Ccp: 0.22 Mf: 0.00 Ccfs: 0.76 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/14512.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/1627.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/435.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/141.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3576.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/5653.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/57.png\n",
            "Incorrect...\n",
            "answer: Mp\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.35 Ccp: 0.02 Mf: 0.01 Ccfs: 0.61 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/319.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/164.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/227.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3840.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.94 Mf: 0.00 Ccfs: 0.06 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/227.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/3.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.02 Ccp: 0.17 Mf: 0.00 Ccfs: 0.80 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/207.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.12 Mf: 0.00 Ccfs: 0.84 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/54.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.57 Ccp: 0.01 Mf: 0.01 Ccfs: 0.40 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/5198.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.04 Shadow: 0.01 Mp: 0.89 Ccp: 0.01 Mf: 0.01 Ccfs: 0.05 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/1716.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.99 Mf: 0.00 Ccfs: 0.01 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/716.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/337.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3872.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.95 Mf: 0.00 Ccfs: 0.05 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/749.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.96 Mf: 0.00 Ccfs: 0.04 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/399.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 1.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/21.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.04 Ccp: 0.10 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3852.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.96 Mf: 0.00 Ccfs: 0.04 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/583.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/449.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/277.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.11 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/5812.png\n",
            "Incorrect...\n",
            "answer: Mp\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.13 Ccp: 0.04 Mf: 0.01 Ccfs: 0.82 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15140.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/84.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.51 Ccp: 0.02 Mf: 0.01 Ccfs: 0.46 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/241.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.02 Ccp: 0.19 Mf: 0.00 Ccfs: 0.78 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/5079.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.71 Ccp: 0.01 Mf: 0.01 Ccfs: 0.26 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/195.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3671.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/219.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/48.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.04 Ccp: 0.09 Mf: 0.00 Ccfs: 0.86 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/2668.png\n",
            "Incorrect...\n",
            "answer: Ccfs\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.89 Mf: 0.00 Ccfs: 0.11 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/46.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.02 Ccp: 0.17 Mf: 0.00 Ccfs: 0.80 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/176.png\n",
            "Incorrect...\n",
            "answer: Mp\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.05 Ccp: 0.07 Mf: 0.00 Ccfs: 0.86 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/180.png\n",
            "Incorrect...\n",
            "answer: Mp\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.07 Ccp: 0.06 Mf: 0.00 Ccfs: 0.86 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/504.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/209.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3910.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.03 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3577.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.54 Mf: 0.00 Ccfs: 0.45 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/14554.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.96 Mf: 0.00 Ccfs: 0.04 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/615.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/3100.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15181.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/750.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/1116.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/1587.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/15142.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.98 Mf: 0.00 Ccfs: 0.02 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/712.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/14513.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.68 Mf: 0.00 Ccfs: 0.31 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/165.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.66 Ccp: 0.01 Mf: 0.01 Ccfs: 0.31 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/855.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 1.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/332.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.13 Mf: 0.00 Ccfs: 0.84 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/531.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/60.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.11 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/6.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.50 Ccp: 0.02 Mf: 0.01 Ccfs: 0.47 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/8.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.57 Ccp: 0.02 Mf: 0.01 Ccfs: 0.40 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/1492.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/1.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.12 Mf: 0.00 Ccfs: 0.84 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mf/1139.png\n",
            "Incorrect...\n",
            "answer: Mf\n",
            "predict: Ccp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.00 Ccp: 0.60 Mf: 0.00 Ccfs: 0.39 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/3021.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/306.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/172.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.11 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mp/15.png\n",
            "Correct!!!\n",
            "answer: Mp\n",
            "predict: Mp\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.49 Ccp: 0.02 Mf: 0.01 Ccfs: 0.48 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/501.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/697.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 1.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/41.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.02 Ccp: 0.17 Mf: 0.00 Ccfs: 0.80 \n",
            "------------------------------------\n",
            "\n",
            "./data/Shadow/811.png\n",
            "Correct!!!\n",
            "answer: Shadow\n",
            "predict: Shadow\n",
            "Ccfh: 0.00 Shadow: 1.00 Mp: 0.00 Ccp: 0.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3650.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.90 Mf: 0.00 Ccfs: 0.10 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfh/5958.png\n",
            "Correct!!!\n",
            "answer: Ccfh\n",
            "predict: Ccfh\n",
            "Ccfh: 0.99 Shadow: 0.00 Mp: 0.00 Ccp: 0.01 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3550.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 1.00 Mf: 0.00 Ccfs: 0.00 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3851.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.95 Mf: 0.00 Ccfs: 0.05 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/261.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.01 Ccp: 0.35 Mf: 0.00 Ccfs: 0.64 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccp/3653.png\n",
            "Correct!!!\n",
            "answer: Ccp\n",
            "predict: Ccp\n",
            "Ccfh: 0.00 Shadow: 0.00 Mp: 0.00 Ccp: 0.97 Mf: 0.00 Ccfs: 0.03 \n",
            "------------------------------------\n",
            "\n",
            "./data/Ccfs/8.png\n",
            "Correct!!!\n",
            "answer: Ccfs\n",
            "predict: Ccfs\n",
            "Ccfh: 0.01 Shadow: 0.00 Mp: 0.03 Ccp: 0.11 Mf: 0.00 Ccfs: 0.85 \n",
            "------------------------------------\n",
            "\n",
            "./data/Mf/381.png\n",
            "Incorrect...\n",
            "answer: Mf\n",
            "predict: Ccfs\n",
            "Ccfh: 0.04 Shadow: 0.00 Mp: 0.09 Ccp: 0.10 Mf: 0.01 Ccfs: 0.76 \n",
            "------------------------------------\n",
            "\n",
            "| Num_of_Correct_data: 94\n",
            "| Num_of_Incorrect_data: 7\n",
            "\n",
            "| Incorrect_data_list: ['Ccfs/2668.png', 'Mf/1139.png', 'Mf/381.png', 'Mp/176.png', 'Mp/180.png', 'Mp/57.png', 'Mp/5812.png']\n",
            "\n",
            "| Accuracy:93.06930693069307 %\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}