{"cells":[{"metadata":{"trusted":true,"collapsed":true,"_uuid":"ae2fdc8cf211e592fb4e4d965b1bb40d976d2da0"},"cell_type":"code","source":"import os, cv2, random\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt","execution_count":26,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"def read_image2(file_path):\n    img = cv2.imread(file_path, cv2.IMREAD_COLOR) #cv2.IMREAD_GRAYSCALE\n    b,g,r = cv2.split(img)\n    img2 = cv2.merge([r,g,b])\n    return cv2.resize(img2, (256, 256), interpolation=cv2.INTER_CUBIC)","execution_count":20,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"5ff8e9b0437ed203328fb403035c238a4fca3f19"},"cell_type":"code","source":"train_dir = '../input/train/'\ntest_dir = '../input/test/'\ntrain_dogs =   [train_dir+i for i in os.listdir(train_dir) if 'dog' in i]","execution_count":21,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"04b4dfdff39026aef82c14cba93b1c2850c59583"},"cell_type":"code","source":"train_cats =   [train_dir+i for i in os.listdir(train_dir) if 'cat' in i]","execution_count":30,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ae5ebdfbc95aac3e066dbe87cafd6284ab483548"},"cell_type":"code","source":"train_dogs[0:5]","execution_count":31,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"06541c03ce98cb2972b5120e88178eed736ebed3"},"cell_type":"code","source":"train_cats[0:5]","execution_count":33,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"b7db2f070d15be778d06478855feab5cc5ac9fd3"},"cell_type":"code","source":"def show_cats_and_dogs(idx):\n    cat = read_image2(train_cats[idx])\n    dog = read_image2(train_dogs[idx])\n    pair = np.concatenate((cat, dog), axis=1)\n    plt.figure(figsize=(10,5))\n    plt.imshow(pair)\n    plt.show()\n    \nfor idx in range(5,10):\n    show_cats_and_dogs(idx)","execution_count":36,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"b8eed1bf9b3cf389009555c74bb5e97264ae958f"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}