{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import os\nprint(os.listdir(\"../input\"))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import tensorflow as tf\nimport random\nimport time\nimport cv2\n\nfrom skimage import io\nfrom pylab import rcParams\n\nfrom PIL import Image\nfrom PIL import ImageDraw\nfrom PIL import ImageFont\nfrom skimage.color import rgb2gray\nfrom skimage.transform import resize\nfrom skimage import data, color\n\nimport matplotlib.pyplot as plt\nfrom matplotlib.patches import Rectangle\n\nimport keras\nfrom keras.models import Sequential\nfrom keras.layers import Activation, Dropout, Flatten, Dense, Conv2D, MaxPooling2D,BatchNormalization,AveragePooling2D\nfrom keras.layers import Conv2D, MaxPooling2D\n\nfrom keras.preprocessing.image import (\n    random_rotation, random_shift, random_shear, random_zoom,\n    random_channel_shift,img_to_array, ImageDataGenerator)\n\nimport numpy as np\nimport pandas as pd\n\nimport warnings\nfrom glob import glob\n\nprint('TensorFlow version:', tf.__version__)\nprint('Keras version:', keras.__version__)\n\n%matplotlib inline","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"TRAIN_IMAGE_PATH = \"../input/train/\"\nTEST_IMAGE_PATH = \"../input/test/\"\nTRAINING_DATA='../input/train.csv'\nIMG_SIZE = 64","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"df_train = pd.read_csv(TRAINING_DATA)\nunique_calsses_value = np.unique(df_train[['Id']].values)\nprint(unique_calsses_value)\nunique_classes_id_dict = {}\nunique_id_classes_dict = {}\nfor i in range(len(unique_calsses_value)):\n    unique_classes_id_dict[unique_calsses_value[i]] = i\n    unique_id_classes_dict[i] = unique_calsses_value[i]","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":1}