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November 24, 2021 06:37
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MidTerm.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "MidTerm.ipynb", | |
| "provenance": [], | |
| "collapsed_sections": [], | |
| "authorship_tag": "ABX9TyOEvp8PbkopGNRHCNB0MIBJ", | |
| "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/gist/BEMELON/eee8232b3050712824214c873b76174e/midterm.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "tHXliObW4DcU", | |
| "outputId": "3cfe7fb0-a17d-4d2d-9aca-48e87e7c2812" | |
| }, | |
| "source": [ | |
| "from tensorflow.keras.utils import to_categorical\n", | |
| "from tensorflow import keras\n", | |
| "from keras import models\n", | |
| "import numpy as np\n", | |
| "\n", | |
| "(train_image, train_label), (test_image, test_label) = keras.datasets.mnist.load_data()\n", | |
| "print(len(train_image), len(train_label))\n", | |
| "print(len(test_image), len(test_label))\n", | |
| "\n", | |
| "train_images = train_image.reshape((60000, 28, 28, 1))\n", | |
| "train_images = train_images.astype('float32') / 255\n", | |
| "\n", | |
| "test_images = test_image.reshape((10000, 28, 28, 1))\n", | |
| "test_images = test_images.astype('float32') / 255\n", | |
| "\n", | |
| "train_labels = to_categorical(train_label)\n", | |
| "test_labels = to_categorical(test_label)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "60000 60000\n", | |
| "10000 10000\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 282 | |
| }, | |
| "id": "duUcaYDP4LGH", | |
| "outputId": "572ff33a-9e62-4ef4-b939-993c5aa23670" | |
| }, | |
| "source": [ | |
| "import matplotlib.pyplot as plt\n", | |
| "%matplotlib inline\n", | |
| "\n", | |
| "plt.imshow(train_image[0])\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "<matplotlib.image.AxesImage at 0x7f594021ab90>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 7 | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "utYYs9OzovYY" | |
| }, | |
| "source": [ | |
| "def process(img_input):\n", | |
| "\n", | |
| " gray = cv2.cvtColor(img_input, cv2.COLOR_BGR2GRAY)\n", | |
| "\n", | |
| " gray = cv2.resize(gray, (28, 28), interpolation=cv2.INTER_AREA)\n", | |
| "\n", | |
| "\n", | |
| " (thresh, img_binary) = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)\n", | |
| "\n", | |
| "\n", | |
| " h,w = img_binary.shape\n", | |
| "\n", | |
| " \n", | |
| " ratio = 100/h\n", | |
| " new_h = 100\n", | |
| " new_w = w * ratio\n", | |
| "\n", | |
| " img_empty = np.zeros((110,110), dtype=img_binary.dtype)\n", | |
| " img_binary = cv2.resize(img_binary, (int(new_w), int(new_h)), interpolation=cv2.INTER_AREA)\n", | |
| " img_empty[:img_binary.shape[0], :img_binary.shape[1]] = img_binary\n", | |
| "\n", | |
| " img_binary = img_empty\n", | |
| "\n", | |
| "\n", | |
| " cnts = cv2.findContours(img_binary.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n", | |
| "\n", | |
| "\n", | |
| " # 컨투어의 무게중심 좌표를 구합니다. \n", | |
| " M = cv2.moments(cnts[0][0])\n", | |
| " center_x = (M[\"m10\"] / M[\"m00\"])\n", | |
| " center_y = (M[\"m01\"] / M[\"m00\"])\n", | |
| "\n", | |
| " # 무게 중심이 이미지 중심으로 오도록 이동시킵니다. \n", | |
| " height,width = img_binary.shape[:2]\n", | |
| " shiftx = width/2-center_x\n", | |
| " shifty = height/2-center_y\n", | |
| "\n", | |
| " Translation_Matrix = np.float32([[1, 0, shiftx],[0, 1, shifty]])\n", | |
| " img_binary = cv2.warpAffine(img_binary, Translation_Matrix, (width,height))\n", | |
| "\n", | |
| "\n", | |
| " img_binary = cv2.resize(img_binary, (28, 28), interpolation=cv2.INTER_AREA)\n", | |
| " flatten = img_binary.flatten() / 255.0\n", | |
| "\n", | |
| " return flatten\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "HFExe64g5AI9" | |
| }, | |
| "source": [ | |
| "from keras.layers import MaxPooling2D, Conv2D, Dropout, Flatten, Dense, BatchNormalization\n", | |
| "from keras.models import Sequential\n", | |
| "# model = Sequential()\n", | |
| "# model.add(Conv2D(32, kernel_size=(5, 5), strides=(1, 1), padding='same',\n", | |
| "# activation='relu',\n", | |
| "# input_shape=(28, 28, 1)))\n", | |
| "# model.add(Conv2D(64, (3, 3), activation='relu', padding='same'))\n", | |
| "# model.add(MaxPooling2D(pool_size=(2, 2)))\n", | |
| "# model.add(Dropout(0.25))\n", | |
| "# model.add(Flatten())\n", | |
| "# model.add(Dense(128, activation='relu'))\n", | |
| "# model.add(Dropout(0.5))\n", | |
| "# model.add(Dense(10, activation='softmax'))\n", | |
| "# model.summary()\n", | |
| "\n", | |
| "\n", | |
| "model=Sequential()\n", | |
| "\n", | |
| "#model.add(Lambda(standardize,input_shape=(28,28,1)))\n", | |
| "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\", input_shape=(28,28,1)))\n", | |
| "model.add(Conv2D(filters=64, kernel_size = (3,3), activation=\"relu\"))\n", | |
| "\n", | |
| "model.add(MaxPooling2D(pool_size=(2,2)))\n", | |
| "model.add(BatchNormalization())\n", | |
| "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", | |
| "model.add(Conv2D(filters=128, kernel_size = (3,3), activation=\"relu\"))\n", | |
| "\n", | |
| "model.add(MaxPooling2D(pool_size=(2,2)))\n", | |
| "model.add(BatchNormalization())\n", | |
| "model.add(Conv2D(filters=256, kernel_size = (3,3), activation=\"relu\"))\n", | |
| "\n", | |
| "model.add(MaxPooling2D(pool_size=(2,2)))\n", | |
| "\n", | |
| "model.add(Flatten())\n", | |
| "model.add(BatchNormalization())\n", | |
| "model.add(Dense(512,activation=\"relu\"))\n", | |
| "\n", | |
| "model.add(Dense(10,activation=\"softmax\"))\n", | |
| "\n", | |
| "model.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"accuracy\"])\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "lTisdYe55jKT" | |
| }, | |
| "source": [ | |
| "from keras import losses\n", | |
| "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n", | |
| "\n", | |
| "datagen = ImageDataGenerator(\n", | |
| " featurewise_center=False, # set input mean to 0 over the dataset\n", | |
| " samplewise_center=False, # set each sample mean to 0\n", | |
| " featurewise_std_normalization=False, # divide inputs by std of the dataset\n", | |
| " samplewise_std_normalization=False, # divide each input by its std\n", | |
| " zca_whitening=False, # apply ZCA whitening\n", | |
| " rotation_range=10, # randomly rotate images in the range (degrees, 0 to 180)\n", | |
| " zoom_range = 0.1, # Randomly zoom image\n", | |
| " width_shift_range=0.1, # randomly shift images horizontally (fraction of total width)\n", | |
| " height_shift_range=0.1, # randomly shift images vertically (fraction of total height)\n", | |
| " horizontal_flip=False, # randomly flip images\n", | |
| " vertical_flip=False) # randomly flip images\n", | |
| "\n", | |
| "epochs = 50\n", | |
| "batch_size = 64\n", | |
| "train_gen = datagen.flow(train_images, train_labels, batch_size=batch_size)\n", | |
| "test_gen = datagen.flow(test_images, test_labels, batch_size=batch_size)\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "mPtUY3oM7E3O", | |
| "outputId": "6a153019-26c3-472a-e3db-96af4babf3b2" | |
| }, | |
| "source": [ | |
| "\n", | |
| "history = model.fit_generator(train_gen,\n", | |
| " epochs = epochs,\n", | |
| " steps_per_epoch = train_images.shape[0] // batch_size,\n", | |
| " validation_data = test_gen,\n", | |
| " validation_steps = test_images.shape[0] // batch_size)\n" | |
| ], | |
| "execution_count": 16, | |
| "outputs": [ | |
| { | |
| "metadata": { | |
| "tags": null | |
| }, | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n", | |
| " \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Epoch 1/50\n", | |
| "937/937 [==============================] - 47s 39ms/step - loss: 0.1304 - accuracy: 0.9595 - val_loss: 0.0485 - val_accuracy: 0.9850\n", | |
| "Epoch 2/50\n", | |
| "937/937 [==============================] - 38s 40ms/step - loss: 0.0596 - accuracy: 0.9819 - val_loss: 0.0378 - val_accuracy: 0.9872\n", | |
| "Epoch 3/50\n", | |
| "937/937 [==============================] - 38s 40ms/step - loss: 0.0501 - accuracy: 0.9847 - val_loss: 0.0534 - val_accuracy: 0.9836\n", | |
| "Epoch 4/50\n", | |
| "937/937 [==============================] - 38s 40ms/step - loss: 0.0450 - accuracy: 0.9863 - val_loss: 0.0366 - val_accuracy: 0.9888\n", | |
| "Epoch 5/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0363 - accuracy: 0.9888 - val_loss: 0.0447 - val_accuracy: 0.9873\n", | |
| "Epoch 6/50\n", | |
| "937/937 [==============================] - 38s 40ms/step - loss: 0.0355 - accuracy: 0.9892 - val_loss: 0.0280 - val_accuracy: 0.9902\n", | |
| "Epoch 7/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0327 - accuracy: 0.9903 - val_loss: 0.0271 - val_accuracy: 0.9915\n", | |
| "Epoch 8/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0310 - accuracy: 0.9905 - val_loss: 0.0260 - val_accuracy: 0.9925\n", | |
| "Epoch 9/50\n", | |
| "937/937 [==============================] - 37s 40ms/step - loss: 0.0269 - accuracy: 0.9916 - val_loss: 0.0440 - val_accuracy: 0.9859\n", | |
| "Epoch 10/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0262 - accuracy: 0.9921 - val_loss: 0.0309 - val_accuracy: 0.9905\n", | |
| "Epoch 11/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0222 - accuracy: 0.9932 - val_loss: 0.0280 - val_accuracy: 0.9915\n", | |
| "Epoch 12/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0235 - accuracy: 0.9928 - val_loss: 0.0233 - val_accuracy: 0.9921\n", | |
| "Epoch 13/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0221 - accuracy: 0.9931 - val_loss: 0.0217 - val_accuracy: 0.9943\n", | |
| "Epoch 14/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0203 - accuracy: 0.9938 - val_loss: 0.0194 - val_accuracy: 0.9939\n", | |
| "Epoch 15/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0196 - accuracy: 0.9940 - val_loss: 0.0244 - val_accuracy: 0.9928\n", | |
| "Epoch 16/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0192 - accuracy: 0.9942 - val_loss: 0.0285 - val_accuracy: 0.9927\n", | |
| "Epoch 17/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0172 - accuracy: 0.9952 - val_loss: 0.0313 - val_accuracy: 0.9910\n", | |
| "Epoch 18/50\n", | |
| "937/937 [==============================] - 37s 40ms/step - loss: 0.0186 - accuracy: 0.9944 - val_loss: 0.0218 - val_accuracy: 0.9930\n", | |
| "Epoch 19/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0167 - accuracy: 0.9951 - val_loss: 0.0234 - val_accuracy: 0.9928\n", | |
| "Epoch 20/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0147 - accuracy: 0.9955 - val_loss: 0.0252 - val_accuracy: 0.9926\n", | |
| "Epoch 21/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0168 - accuracy: 0.9950 - val_loss: 0.0231 - val_accuracy: 0.9929\n", | |
| "Epoch 22/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0162 - accuracy: 0.9953 - val_loss: 0.0270 - val_accuracy: 0.9928\n", | |
| "Epoch 23/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0133 - accuracy: 0.9957 - val_loss: 0.0309 - val_accuracy: 0.9918\n", | |
| "Epoch 24/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0140 - accuracy: 0.9960 - val_loss: 0.0269 - val_accuracy: 0.9927\n", | |
| "Epoch 25/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0133 - accuracy: 0.9959 - val_loss: 0.0218 - val_accuracy: 0.9949\n", | |
| "Epoch 26/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0129 - accuracy: 0.9961 - val_loss: 0.0200 - val_accuracy: 0.9940\n", | |
| "Epoch 27/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0124 - accuracy: 0.9961 - val_loss: 0.0239 - val_accuracy: 0.9935\n", | |
| "Epoch 28/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0119 - accuracy: 0.9961 - val_loss: 0.0232 - val_accuracy: 0.9934\n", | |
| "Epoch 29/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0131 - accuracy: 0.9959 - val_loss: 0.0255 - val_accuracy: 0.9935\n", | |
| "Epoch 30/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0103 - accuracy: 0.9968 - val_loss: 0.0230 - val_accuracy: 0.9934\n", | |
| "Epoch 31/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0114 - accuracy: 0.9966 - val_loss: 0.0208 - val_accuracy: 0.9940\n", | |
| "Epoch 32/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0113 - accuracy: 0.9966 - val_loss: 0.0203 - val_accuracy: 0.9944\n", | |
| "Epoch 33/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0114 - accuracy: 0.9964 - val_loss: 0.0222 - val_accuracy: 0.9941\n", | |
| "Epoch 34/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0104 - accuracy: 0.9967 - val_loss: 0.0222 - val_accuracy: 0.9940\n", | |
| "Epoch 35/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0099 - accuracy: 0.9967 - val_loss: 0.0165 - val_accuracy: 0.9944\n", | |
| "Epoch 36/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0094 - accuracy: 0.9971 - val_loss: 0.0185 - val_accuracy: 0.9944\n", | |
| "Epoch 37/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0113 - accuracy: 0.9964 - val_loss: 0.0207 - val_accuracy: 0.9948\n", | |
| "Epoch 38/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0103 - accuracy: 0.9969 - val_loss: 0.0180 - val_accuracy: 0.9951\n", | |
| "Epoch 39/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0104 - accuracy: 0.9968 - val_loss: 0.0191 - val_accuracy: 0.9942\n", | |
| "Epoch 40/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0094 - accuracy: 0.9972 - val_loss: 0.0186 - val_accuracy: 0.9955\n", | |
| "Epoch 41/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0093 - accuracy: 0.9970 - val_loss: 0.0206 - val_accuracy: 0.9947\n", | |
| "Epoch 42/50\n", | |
| "937/937 [==============================] - 35s 37ms/step - loss: 0.0088 - accuracy: 0.9972 - val_loss: 0.0235 - val_accuracy: 0.9934\n", | |
| "Epoch 43/50\n", | |
| "937/937 [==============================] - 35s 38ms/step - loss: 0.0081 - accuracy: 0.9976 - val_loss: 0.0197 - val_accuracy: 0.9944\n", | |
| "Epoch 44/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0092 - accuracy: 0.9971 - val_loss: 0.0239 - val_accuracy: 0.9947\n", | |
| "Epoch 45/50\n", | |
| "937/937 [==============================] - 37s 39ms/step - loss: 0.0083 - accuracy: 0.9975 - val_loss: 0.0239 - val_accuracy: 0.9941\n", | |
| "Epoch 46/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0084 - accuracy: 0.9972 - val_loss: 0.0337 - val_accuracy: 0.9928\n", | |
| "Epoch 47/50\n", | |
| "937/937 [==============================] - 36s 38ms/step - loss: 0.0099 - accuracy: 0.9969 - val_loss: 0.0211 - val_accuracy: 0.9936\n", | |
| "Epoch 48/50\n", | |
| "937/937 [==============================] - 36s 39ms/step - loss: 0.0084 - accuracy: 0.9973 - val_loss: 0.0207 - val_accuracy: 0.9937\n", | |
| "Epoch 49/50\n", | |
| "937/937 [==============================] - 38s 41ms/step - loss: 0.0081 - accuracy: 0.9974 - val_loss: 0.0198 - val_accuracy: 0.9949\n", | |
| "Epoch 50/50\n", | |
| "937/937 [==============================] - 38s 41ms/step - loss: 0.0079 - accuracy: 0.9976 - val_loss: 0.0198 - val_accuracy: 0.9946\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "hchjaDSk5N4y", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "outputId": "95d11758-38ce-43de-8ca5-d2924767124e" | |
| }, | |
| "source": [ | |
| "# n = 202\n", | |
| "# plt.imshow(train_images[n].reshape(28, 28), cmap='Greys', interpolation='nearest')\n", | |
| "# plt.show()\n", | |
| "\n", | |
| "# print('The Answer is ', model.predict(train_images[n].reshape((1, 28, 28, 1))))\n", | |
| "score = model.evaluate(test_images, test_labels, verbose=2)\n", | |
| "print(\"TEST LOSS:\", score[0])\n", | |
| "print(\"TEST ACCURACY : \", score[1])" | |
| ], | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "313/313 - 2s - loss: 0.0174 - accuracy: 0.9962 - 2s/epoch - 8ms/step\n", | |
| "TEST LOSS: 0.01743883080780506\n", | |
| "TEST ACCURACY : 0.9962000250816345\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "jIy3nq287UPd" | |
| }, | |
| "source": [ | |
| "from IPython.display import display, Javascript\n", | |
| "from google.colab.output import eval_js\n", | |
| "from base64 import b64decode\n", | |
| "\n", | |
| "def take_photo(filename='photo.jpg', quality=0.8):\n", | |
| " js = Javascript('''\n", | |
| " async function takePhoto(quality) {\n", | |
| " const div = document.createElement('div');\n", | |
| " const capture = document.createElement('button');\n", | |
| " capture.textContent = 'Capture';\n", | |
| " div.appendChild(capture);\n", | |
| "\n", | |
| " const video = document.createElement('video');\n", | |
| " video.style.display = 'block';\n", | |
| " const stream = await navigator.mediaDevices.getUserMedia({video: true});\n", | |
| "\n", | |
| " document.body.appendChild(div);\n", | |
| " div.appendChild(video);\n", | |
| " video.srcObject = stream;\n", | |
| " await video.play();\n", | |
| "\n", | |
| " // Resize the output to fit the video element.\n", | |
| " google.colab.output.setIframeHeight(document.documentElement.scrollHeight, true);\n", | |
| " // google.colab.output.setIframeHeight(28, true);\n", | |
| "\n", | |
| "\n", | |
| " // Wait for Capture to be clicked.\n", | |
| " await new Promise((resolve) => capture.onclick = resolve);\n", | |
| "\n", | |
| " const canvas = document.createElement('canvas');\n", | |
| " canvas.width = video.videoWidth;\n", | |
| " canvas.height = video.videoHeight;\n", | |
| " canvas.getContext('2d').drawImage(video, 0, 0);\n", | |
| " stream.getVideoTracks()[0].stop();\n", | |
| " div.remove();\n", | |
| " return canvas.toDataURL('image/jpeg', quality);\n", | |
| " }\n", | |
| " ''')\n", | |
| " display(js)\n", | |
| " data = eval_js('takePhoto({})'.format(quality))\n", | |
| " binary = b64decode(data.split(',')[1])\n", | |
| " with open(filename, 'wb') as f:\n", | |
| " f.write(binary)\n", | |
| " return filename\n", | |
| "\n" | |
| ], | |
| "execution_count": 39, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "inA_G00vx1Fi", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 1000 | |
| }, | |
| "outputId": "7aedd4ad-b1ad-493d-b616-133bdaa1eea9" | |
| }, | |
| "source": [ | |
| "from IPython.display import Image\n", | |
| "from matplotlib.pyplot import imshow\n", | |
| "from google.colab.patches import cv2_imshow\n", | |
| "\n", | |
| "import PIL\n", | |
| "import cv2 as cv\n", | |
| "\n", | |
| "def saveCountour(rectangle, target):\n", | |
| " t_x, t_y, t_w, t_h, number = target\n", | |
| " \n", | |
| " newRectangle = []\n", | |
| " if len(rectangle) == 0: return [target]\n", | |
| " for rect in rectangle:\n", | |
| " x = rect[0]\n", | |
| " y = rect[1]\n", | |
| " w = rect[2]\n", | |
| " h = rect[3]\n", | |
| " n = rect[4]\n", | |
| " # Contour가 서로 겹친다면, 제외\n", | |
| " if (((x <= t_x) and (t_x + t_w <= x + w)) and ((y <= t_y) and (t_y + t_h <= y + h))) or (((t_x <= x) and (x + w <= t_x + t_w)) and ((t_y <= y) and (y + h <= t_y + t_h))): continue\n", | |
| " newRectangle.append([x, y, w, h, n])\n", | |
| " newRectangle.append([t_x, t_y, t_w, t_h, number])\n", | |
| " return newRectangle\n", | |
| "\n", | |
| "\n", | |
| "photo = take_photo()\n", | |
| "image = cv.imread('photo.jpg', cv.IMREAD_COLOR)\n", | |
| "gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)\n", | |
| "imshow(gray, cmap=\"gray\", vmin=0, vmax=255)\n", | |
| "\n", | |
| "ret, img_binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)\n", | |
| "kernel = cv.getStructuringElement(cv.MORPH_RECT, (5, 5))\n", | |
| "img_binary = cv.morphologyEx(img_binary, cv.MORPH_CLOSE, kernel)\n", | |
| "cv2_imshow(img_binary)\n", | |
| "\n", | |
| "contours, hierarchy = cv.findContours(img_binary, cv.RETR_LIST, cv.CHAIN_APPROX_NONE)\n", | |
| "\n", | |
| "processed_contours = []\n", | |
| "rectangles = []\n", | |
| "for contour in contours:\n", | |
| " x, y, w, h = cv.boundingRect(contour)\n", | |
| " if w == 640 or h == 480: continue\n", | |
| " if w < 20 or h < 20: continue\n", | |
| " processed_contours.append(contour)\n", | |
| "\n", | |
| "for contour in processed_contours:\n", | |
| " x, y, w, h = cv.boundingRect(contour)\n", | |
| " length = max(w, h) + 60\n", | |
| " img_digit = np.zeros((length, length, 1), np.uint8)\n", | |
| " new_x, new_y = x - (length - w) // 2, y - (length - h) // 2\n", | |
| "\n", | |
| " img_digit = img_binary[new_y:new_y + length, new_x:new_x + length]\n", | |
| " kernel = np.ones((5, 5), np.uint8)\n", | |
| "\n", | |
| " if np.shape(img_digit)[0] == 0 or np.shape(img_digit)[1] == 0 or np.shape(img_digit)[0] == 640 or np.shape(img_digit)[1] == 480: continue # 크기가 너무 작거나 너무 크면, 오탐이라 생각하고 pass\n", | |
| "\n", | |
| " img_digit = cv.morphologyEx(img_digit, cv.MORPH_DILATE, kernel)\n", | |
| " img_digit = cv.resize(img_digit, (28, 28), interpolation=cv.INTER_AREA)\n", | |
| "\n", | |
| "\n", | |
| " print(\"Model Input Images V V V V V \")\n", | |
| " cv2_imshow(img_digit)\n", | |
| " img_digit = img_digit / 255.0\n", | |
| " img_input = img_digit.reshape(1, 28, 28, 1)\n", | |
| " prediction = model.predict(img_input)\n", | |
| " print(\"Prediction : \", prediction)\n", | |
| " number = np.argmax(prediction)\n", | |
| " print(\"IDX : \", number)\n", | |
| " print(\"POSITION : \", x, y, w, h)\n", | |
| " rectangles = saveCountour(rectangles, [x, y, w, h, number])\n", | |
| " \n", | |
| "\n", | |
| " \n", | |
| "\n", | |
| "print(rectangles)\n", | |
| "for rect in rectangles:\n", | |
| " x = rect[0]\n", | |
| " y = rect[1]\n", | |
| " w = rect[2]\n", | |
| " h = rect[3]\n", | |
| " number = rect[4]\n", | |
| " cv.rectangle(image, (x, y), (x + w, y + h), (255, 255, 0), 2)\n", | |
| " location = (x + int(w * 0.5), y - 10)\n", | |
| " font = cv.FONT_HERSHEY_COMPLEX\n", | |
| " fontScale = 1.2\n", | |
| " cv.putText(image, str(number),location, font, fontScale, (0, 255, 0), 2)\n", | |
| "\n", | |
| "cv2_imshow(image)" | |
| ], | |
| "execution_count": 57, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "application/javascript": [ | |
| "\n", | |
| " async function takePhoto(quality) {\n", | |
| " const div = document.createElement('div');\n", | |
| " const capture = document.createElement('button');\n", | |
| " capture.textContent = 'Capture';\n", | |
| " div.appendChild(capture);\n", | |
| "\n", | |
| " const video = document.createElement('video');\n", | |
| " video.style.display = 'block';\n", | |
| " const stream = await navigator.mediaDevices.getUserMedia({video: true});\n", | |
| "\n", | |
| " document.body.appendChild(div);\n", | |
| " div.appendChild(video);\n", | |
| " video.srcObject = stream;\n", | |
| " await video.play();\n", | |
| "\n", | |
| " // Resize the output to fit the video element.\n", | |
| " google.colab.output.setIframeHeight(document.documentElement.scrollHeight, true);\n", | |
| " // google.colab.output.setIframeHeight(28, true);\n", | |
| "\n", | |
| "\n", | |
| " // Wait for Capture to be clicked.\n", | |
| " await new Promise((resolve) => capture.onclick = resolve);\n", | |
| "\n", | |
| " const canvas = document.createElement('canvas');\n", | |
| " canvas.width = video.videoWidth;\n", | |
| " canvas.height = video.videoHeight;\n", | |
| " canvas.getContext('2d').drawImage(video, 0, 0);\n", | |
| " stream.getVideoTracks()[0].stop();\n", | |
| " div.remove();\n", | |
| " return canvas.toDataURL('image/jpeg', quality);\n", | |
| " }\n", | |
| " " | |
| ], | |
| "text/plain": [ | |
| "<IPython.core.display.Javascript object>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": 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| |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=640x480 at 0x7F584E702250>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABKElEQVR4nN3RzyvDcRzH8ddmc1iS31FoyXJC2cFayoVwdHRz2WXizF2StJD4FyROipssrRwU5T5tKVq2iOlr+66ng32/23f2F3hdPu/359H7U5/PR1LbJ7OqZIe7qq4bApUukOXQiat20/HAd38V+p7IDJTrzltYVHVW4HFKkhR8g5jD5DkGY7dJipYw5l1OlHfPhNTahklqQn8TPi8CZIN1TFI4CZA/m2uogwsQvwR4jflrrSdHqsXlWz4pQDFag6cYQ5Kk4XUDM+Swjnc2rXqyQMSB05iVR7uw0P27+JVM29hsFW6reLZtcFxfjmMjFBstS/PR5ZgsyXPUK0ntSzd92so4JltzkE9s7ydM4MBTc8+xe8q5nrE37Q/yjo6EJF3FX0r6h/kBkk6EtQPiQgkAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E702FD0>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[7.3125555e-08 6.6979933e-10 4.0652399e-08 4.1519735e-07 1.3138977e-08\n", | |
| " 1.0267505e-06 5.9821559e-05 2.9350868e-13 9.9993849e-01 9.1533870e-08]]\n", | |
| "IDX : 8\n", | |
| "POSITION : 179 360 46 40\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABKklEQVR4nN2QzyuDcRzH354Mh+G60y5GolYulB8lyk0iyUFbHCQ3+RO0FLedd3CwuChW1KSUM9FymLUTB8VWnPaMPV4Oz/ZszzN/gc/p9en1fX8+3+9X+jfVUkejb7Jfej3L/TSdMiK32HU14HX+FFg38c14xqI06smdwnVYkma+oTjnkitYsTZJ0lQy+cZ7R6M856TeDEOXPc/uAzpwnC+qp1Jj8o6Ew9sQce1MYE5Uc1sVDg2XDJl8rEtSdxIuOj3vnDex0j0KZGDfkLfGs1BK5SgvNzupPZoFuJxu/UNKwSIAjzuDzc6X5nNk4+gLKsdhr1yjvCjJv3oPhZAnmOfYJmPBZNcteykHaxxjT3L+VtKQ8s81LlRHNGQfHJr13meJlxpGYEySfgE0mX9x5youfQAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E583650>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[9.2837304e-20 7.1639269e-28 4.9425419e-11 1.9395434e-12 4.8740955e-12\n", | |
| " 9.5154552e-21 7.0235586e-16 5.4867396e-14 9.9999833e-01 1.6424973e-06]]\n", | |
| "IDX : 8\n", | |
| "POSITION : 165 313 53 42\n", | |
| "* RECT: 179 360 225 400\n", | |
| "* TARGET : 165 313 218 355\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABA0lEQVR4nGNgGLzAbsbl+/fXBjJikRLY+u/PiWk7fvxfhSnLsu//DkUGBoad//9vZEaX9P8/g5mBgYHB0GbTf1O4Diht8LfhLwMDA8N51h+/X8EkmaD0f2YXCKMudP5DdGM1fr91ZGBgYJ3z/wwXpmsL/v/q4RU68X8NJzZvel/9/+75/wZsUgwMDKzZ////v9OhjVWSce///IoTP/8ftccimfB/EgMDg3Lfr28amJI73wgyMDAwMIT+D4CKMCEkTXe9Z2BgYGC4ARdBkmT4CrE6heENprHvHqsxMDAIz/h/lgVTcsb/Xwemnfj1/7wq3P1IXkn0NmL4e3Tnqj9YvDI4AABG91lqLSE5RgAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E3A3A10>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[2.3270016e-32 2.4667887e-35 3.6519673e-21 7.3168633e-21 1.4696029e-27\n", | |
| " 3.5324061e-28 4.9342043e-30 3.8077334e-34 1.0000000e+00 2.1059667e-21]]\n", | |
| "IDX : 8\n", | |
| "POSITION : 162 310 66 93\n", | |
| "* RECT: 179 360 225 400\n", | |
| "* TARGET : 162 310 228 403\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "True\n", | |
| "* RECT: 165 313 218 355\n", | |
| "* TARGET : 162 310 228 403\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "True\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABCUlEQVR4nN2QMS9DURiGX2qQq8WAGEQEQzUSEkRiaYe28RNs5i4Gs/ArTAa/gMWGCNtluYvB6KbaaiKVlEHo7WM4t9pzm/sHvMt5kuf7vnPOJ/2bDHTJKUhSw/3ur8pcYFLZS/a5GlD2/RZQztjOceFmKyEt7lehMmHJPFw6BtPAgiVLkA5x9I3mlMHBP58Kz+aVgsCSz9Jup+pO46vW2FSdz82Ql+DYfu4RvBcNrkPNlkMP0D7dHpEKT9CK/HT2PADqvt8GOFQkec/s7+fgFteM68rrtfnlouSdNRLZjenXaG8nOdiJcxp+4UTq3VBPvu61Eiv1qLlkrPQ0ORN76RiUYjs/PGUl/QIihXKP90TbSwAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E7E5450>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.22202970e-20 8.56768086e-26 1.53341191e-20 8.37406271e-19\n", | |
| " 7.55944786e-12 1.09796925e-18 3.77426398e-22 4.81313979e-16\n", | |
| " 1.08792785e-14 1.00000000e+00]]\n", | |
| "IDX : 9\n", | |
| "POSITION : 297 304 42 36\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 297 304 339 340\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAAz0lEQVR4nGNgoD9gRDB5eRkYXv3Bqkpkw9f///8/yufAIsd29P+aUJ/qB/83Y5G0/T+HgYGBQebvTyRBFijNz7CXgYGB4cktLiw61f7sZWRgYGCY+lcVIcgEpW/tdprNycDA8IXJB4tWmev/n00snvv7/35sfuEoufnr/89Vq/8IYJNlYBBSEGQI+B+EXZKBgYGB99ckDAfBwecrRrglGc5qs+OWPCaghVvyHIM7bhcxv8cW9jCw5zkbTmMZ9ktI4ZY8+/sTbmPZJfDYSXMAABXDOZXOggN0AAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F5940465950>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.0755765e-11 7.1264832e-14 3.2368497e-11 1.6830537e-09 2.0833643e-07\n", | |
| " 5.9106858e-11 1.1471447e-14 1.4409436e-09 5.2290499e-08 9.9999976e-01]]\n", | |
| "IDX : 9\n", | |
| "POSITION : 293 301 67 100\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 293 301 360 401\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 297 304 339 340\n", | |
| "* TARGET : 293 301 360 401\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "True\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAAj0lEQVR4nGNgoAlgxCnDZuOJQ4tC9ubv//9jkeH0mHTj/////7FKrv8PA1gktf/ikWQ4B5NkwiK5CJcHGBgYGLg+4tH5bQU+rep/cTuIgWEnPkkbfJJMx/BIMgThk2TcjUeSwRafJNNmPJIMCj/wSDJ04ZPkuYdHksHlHx5Jhjx8kvgB1nTrJM0pJsLNIAkAppJn4HsdDEIAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F58C605CAD0>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.9949296e-04 9.9378890e-01 2.5394378e-04 1.7196291e-07 3.7733855e-05\n", | |
| " 1.7971370e-03 5.8851518e-05 2.7854505e-03 9.3408540e-04 1.4419277e-04]]\n", | |
| "IDX : 1\n", | |
| "POSITION : 594 215 46 170\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 594 215 640 385\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 594 215 640 385\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABBklEQVR4nGNgIAKYbVuGU07hyf/juOQYl/5/qoVT4///HjhNzft/nBGLMBMDAwMDgyHDxv9YJFkYGBgYGGQYznNZ+jkwMDBcP7DpGZqS3f/jLv/////RrQf//7/txZD8+f/bNDNWBhaV4lt/TyihSE74//8bzLlc7f/fSyJL9v//4Y7gdf+vQZY8//+XPoIn8f0Yslc0GVizEZJvPqLYefH//98WcJ7u/3XIkranX/6/yAbjbf4fjOoZr///F0JDsPDfLQ5USYYZ//8vZGNgYGAu/P/XBU2OgX39//8P8uRjT/3/W4Aux8DA3vX///////9/CoMLIceUZbArw5cDc+5jahz6AABtc2QmP+wMxgAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E7DECD0>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[3.7890617e-04 2.6935075e-12 4.6024073e-10 1.4309465e-10 5.7099165e-08\n", | |
| " 1.9366589e-05 9.9960142e-01 3.5087273e-14 2.1128496e-07 6.7842607e-09]]\n", | |
| "IDX : 6\n", | |
| "POSITION : 320 207 57 48\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 320 207 377 255\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 320 207 377 255\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 320 207 377 255\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAA3klEQVR4nGNgGJogch8DA8siHWQhJjjLSIuBQStWCbuk9SMGhlsMalgltYz3MjD8wGHl6t9KDAwMnyZikwv5P4+BgYHh4mYGBgYGvcgQZDnpV09EGRgYGBbdrVh99f////cZGBgYGBghkts9AjewuJi5mHL8OXvu3qWrnz4jG7onffP3/x/Wbv+P4lwGBgYGhsv///+/22vJweD1Xw9JmIWBgYGB4eyjoxuuMTAwMLxn0L+EwzsMDOL/Y5F4TOjSPLglf/xQwi358SMyjwXN1NnXcLpnwIHpMzySz74DAPVUQW+XP0XwAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F58C38D5950>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[5.3812963e-24 1.1841312e-24 1.2564862e-19 3.0442529e-28 1.0000000e+00\n", | |
| " 2.8474796e-19 5.5616158e-23 8.1885877e-22 1.2787444e-18 5.6966055e-18]]\n", | |
| "IDX : 4\n", | |
| "POSITION : 50 207 94 81\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 50 207 144 288\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 50 207 144 288\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 50 207 144 288\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 320 207 377 255\n", | |
| "* TARGET : 50 207 144 288\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAA6klEQVR4nGNgGGSAEUKxs//gYNZjUOVhYNBlYWBgqH2EUCJ69v/r////////8zkEWDIwMDAwsDAwMDAwSBm9Xv/w76W7n36/xTSc+fIHQSx2MjEwMDAw/F3O74zbXVI/l+B2LcM5Tk0meR0GBoZ71/9hKFr6v+nx//+PPvz//zgSQ7L1/79FxlxMbIplz/6Xo0uu+Z8NZUne/sKBJrntLsx2hrL/ylAWC5Ru/PkfJmny5ysOPzEwOP06h1PO8M0/XOHBWvXrbxJ2KY7Ai/8f+2KVUp776P/zduQIYEEw2Vlmn939G6djBgMAANziUk0xm/c5AAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F594023B210>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[7.51698545e-32 0.00000000e+00 1.97829868e-27 2.91693016e-19\n", | |
| " 4.13308442e-33 1.00000000e+00 1.11438265e-20 6.49761900e-25\n", | |
| " 2.77624090e-25 1.22979149e-22]]\n", | |
| "IDX : 5\n", | |
| "POSITION : 181 190 82 86\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 181 190 263 276\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 181 190 263 276\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 181 190 263 276\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 320 207 377 255\n", | |
| "* TARGET : 181 190 263 276\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 181 190 263 276\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAA0ElEQVR4nGNgGLRA0Q+3nMOPLzjluG/9K8Mpmfx/GW5TV/8zxBRkhNL3eMQYuE0YGN7c+o2p6OlOy10////////FZAVMyRc//58r1tEJXfrxPoafjv3/3w1hKW3/n4UhOQXGZD/xgBVFjv/L//VwTvp/KQiDCaqancFLAybJgW7n+v//j7JBmKynrzCiSrKI3fnfDGFW/8/E8IzT73+NbAwMrNX/TrJhSDJE//5/Izfnyv+bsphyDAxW1/7///97BT9cANVqYzmGk8+w6RskAABBl0neJF7OVwAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F58C6151790>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.4203027e-04 4.1048304e-10 2.3957072e-09 6.2731771e-09 4.9422233e-08\n", | |
| " 4.4604094e-05 9.9980837e-01 1.4724129e-12 4.9184928e-06 1.7725393e-08]]\n", | |
| "IDX : 6\n", | |
| "POSITION : 313 180 66 78\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 320 207 377 255\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "True\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 313 180 379 258\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAAv0lEQVR4nGNkYDgiwPDq4dsShsEBGBFMURkGBgaGG9+xqFr8++////////84XwFT53WN9SfP/pMyDpU+Yf0PXWff/0wGBgYGBs77/1VgYkwwxiqGAAYGBgaG75sY1DAkT99yFWNgYGBgOMuggyH5dxNjIJTJiSHJsITBjIGBgYHhK8IdLHDWpenXGBgYGBi4sUn+z0L3AJKxWACm5FUGLtyS3xm0yDT20Q88kl/+YoYtkqwgjMWCKWmLEWODBgAAybAv6k+TI9YAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E4C96D0>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[6.13439207e-16 5.63592945e-19 1.31561864e-08 1.41354843e-16\n", | |
| " 5.90896198e-15 1.07449865e-14 2.03782067e-20 1.00000000e+00\n", | |
| " 3.04811108e-13 4.66970653e-14]]\n", | |
| "IDX : 7\n", | |
| "POSITION : 431 163 53 75\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 431 163 484 238\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAA+UlEQVR4nGNgGGSAEcFkNXdgYPi57Ck2Zeon////////l4mCmHKB3/7/3ZeQsPTX/93M6HJ6P/8/9GFgYGBwfv2/G02O98b/J0oQpuvPr3qokpH//7vD2D3/16NKzv6/Ds4W/fBDHMJiggn1wSVf72G3QJPUQhizlUEYRfIZgz1C8jOMAZU8x+DGC5fkQZPc91UkFi7pyPAf1bkT/r/RhDJVvv2SRpXkvfv/AisDAwMDA9+h/zsZ0IDt7/9NDAwMrDEP/z9XhIqxwCTFmRlyb0io+UoxnEy+j67T4+////////9/MhURKYjI5jFQk3r07MrL/+jaBhEAADsjUuKMmL9RAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E9CBC10>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[9.9999809e-01 2.5672159e-14 6.8322073e-08 9.9825703e-11 1.9577258e-11\n", | |
| " 3.0792992e-12 7.6061279e-10 3.8560688e-10 2.8474574e-08 1.7969604e-06]]\n", | |
| "IDX : 0\n", | |
| "POSITION : 58 86 59 67\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "True\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 431 163 484 238\n", | |
| "* TARGET : 58 86 117 153\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABBklEQVR4nK3Qr0tDURjG8cftgPOGiVOQoSDDcBEVNNzkmk2YwSYiBvuy/g0mwWAaWGwyg1lxYU0wiDAQHYLK4kRw3O36Naj7ec9A2FPOe/icw3veI3XkDAAquXOAoU4sz/wWl29j6s4hAPnV2UQPyWwDsN4rkpI1gKfRUNQJwF64afqOj1zEgorEndbmbxQ34+mhdHNPyIVUg9ozUMyE4Pj+jmOSu1eN4Chq66itdzatqI2vcsyup8y3nt6NF1q245Tqzdr8LJNrc9LSsKRFpYOXx0rbceMD3BargA/4pu0m1QlJI25MnwfHCc/1A0nN74uueAuOpEL+1T7If5Lth9eD6TGwfAO5omRLiAHh1QAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F58C45D2750>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.0417045e-05 6.0166341e-05 9.7511840e-01 1.8694740e-02 5.2947697e-05\n", | |
| " 6.6794717e-04 4.7470671e-06 5.0774682e-03 1.5153133e-04 1.6178016e-04]]\n", | |
| "IDX : 2\n", | |
| "POSITION : 248 85 71 49\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 431 163 484 238\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 58 86 117 153\n", | |
| "* TARGET : 248 85 319 134\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAA5klEQVR4nGNgGGSAEZkjzcDw6zV2ZVEX/v///3OZBhY5jqX//39fu/b1/9/+mJIb/v+dJ87AwD357zttdLnC/3/SIazp//ehyXG++j8DZv6F/z6oks7/3wnA2D7/d6BLNsHZbC/ecUBYTDAhJbjkrz2CrCiSzxlsWeCyn2AMqOS993LmcEludK8s+b8GxmR99hNN2vjnv2QoM/f/LnStHf+/6jIwMDAweH/874kuyXb3/0EGBgbLVX//96HLMWj8//9/1e7H//+/TcCQY+Ced/n9/49PtqfyYMoxMDAwcEvzYpcYNAAA4eFRsOiAgxYAAAAASUVORK5CYII=\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E820F90>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[9.99961495e-01 1.93703099e-13 3.38552672e-06 7.56612106e-09\n", | |
| " 2.10415491e-10 7.38622219e-11 1.15593135e-08 6.32525321e-09\n", | |
| " 1.61774892e-06 3.35592886e-05]]\n", | |
| "IDX : 0\n", | |
| "POSITION : 55 83 64 73\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "True\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 431 163 484 238\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 58 86 117 153\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "True\n", | |
| "* RECT: 248 85 319 134\n", | |
| "* TARGET : 55 83 119 156\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAAAo0lEQVR4nGNgGNRAUgS3XPu/T8JwDq9bJbJc1Pf//zXghrz8/x9Jzu37//+fEDYsbNVCkrz2f92hTwzIgAnBvLQp+Rc+1+75hEfy2XFcxjIwMPB8ReGy4DKE200Dt+QbDjRjNXgR7O/4jJWyM9ZFEdD4vweFj+paNMAIZ+3nYhBR+nSDgeFKMkwIYackz1f2pwyKogxCWHRCAJsow2d8YTiwAADVDCih8Qx0nQAAAABJRU5ErkJggg==\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F58C481F450>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[2.7101989e-11 9.9966741e-01 6.9927194e-07 1.1673431e-09 1.2881127e-05\n", | |
| " 1.1380722e-09 1.6307280e-05 3.0274203e-04 1.6366740e-10 2.3016861e-08]]\n", | |
| "IDX : 1\n", | |
| "POSITION : 177 82 43 73\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "True\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 431 163 484 238\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 248 85 319 134\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "Added\n", | |
| "* RECT: 55 83 119 156\n", | |
| "* TARGET : 177 82 220 155\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "Model Input Images V V V V V \n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": "iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAAAAABXZoBIAAABEUlEQVR4nGP8z4AN3Hm32eFyNcN/rGCRAAMDAwMLhqZ//xlu/Dj7gYGBgYHlDQMDw/OXDFd/M/y4ycBw8zvDkw9YLaIXYGRgYGBgSEvWZmG48uLauV3vMCWXW+w5yyJppSv8b2vPIRzGsOlP/fg7D7c1Mu92IziwELKqVWNgeHntaYTgY0wd9fBg3R7ChOogBgYGJ1kGBoZ359hcQxw+Lex+gcta1Zm/3lrjdpXJt10oDkIAVjGbdM5PmJKCLupaEroiDN9W5KM6iIGBgcGum+Hn9T9XLp79idtKWgNGTCEPZ3lBBgaGB0sOYpF8KHfn2kNWYwPWfiyGzf2ryMDAwKBw8ycTpuQmpiAGBgaGByvYAPsZb+AEjrnsAAAAAElFTkSuQmCC\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=L size=28x28 at 0x7F584E645D10>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Prediction : [[1.21428915e-17 2.93351629e-15 1.17536221e-08 9.99995589e-01\n", | |
| " 2.04168305e-16 4.39656151e-06 8.23620794e-13 6.27401048e-11\n", | |
| " 6.34956532e-11 1.74340004e-11]]\n", | |
| "IDX : 3\n", | |
| "POSITION : 362 76 90 59\n", | |
| "* RECT: 162 310 228 403\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 293 301 360 401\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 594 215 640 385\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 50 207 144 288\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 181 190 263 276\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 313 180 379 258\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 431 163 484 238\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 248 85 319 134\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "True\n", | |
| "Added\n", | |
| "* RECT: 55 83 119 156\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "* RECT: 177 82 220 155\n", | |
| "* TARGET : 362 76 452 135\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "False\n", | |
| "Added\n", | |
| "[[162, 310, 66, 93, 8], [293, 301, 67, 100, 9], [594, 215, 46, 170, 1], [50, 207, 94, 81, 4], [181, 190, 82, 86, 5], [313, 180, 66, 78, 6], [431, 163, 53, 75, 7], [248, 85, 71, 49, 2], [55, 83, 64, 73, 0], [177, 82, 43, 73, 1], [362, 76, 90, 59, 3]]\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<PIL.Image.Image image mode=RGB size=640x480 at 0x7F58C45D2210>" | |
| ] | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "RMSlWbAd4eKi" | |
| }, | |
| "source": [ | |
| "" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "SCmGOep8cg1Q" | |
| }, | |
| "source": [ | |
| "" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Q49SuyoVyAVZ" | |
| }, | |
| "source": [ | |
| "n = 5000\n", | |
| "plt.imshow(train_images[n].reshape(28, 28), cmap='Greys', interpolation='nearest')\n", | |
| "print(np.shape(train_images[n]))\n", | |
| "plt.show()\n", | |
| "\n", | |
| "print('The Answer is ', np.argmax(model.predict(train_images[n].reshape((1, 28, 28, 1)))))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Hl51_RFp-YnA" | |
| }, | |
| "source": [ | |
| "" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ] | |
| } |
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