{"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_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import matplotlib.pyplot as plt\n\nimport cv2\nimport pandas as pd\n\ntrain_df = pd.read_csv('../input/happy-whale-and-dolphin/train.csv')\ntrain_df.head()\ncounts = dict(train_df['individual_id'].value_counts())\nstrange_images = [\n    '3aa9888f58aefc.jpg',\n    '54aa56e1620b6b.jpg',\n    'cd5fe465c60cb9.jpg',\n    'ee6ff2e7e38882.jpg',\n]\ncheck_df = train_df[train_df['image'].isin(strange_images)]\n","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"check_df","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for image_name in strange_images:\n    image_path = f'../input/happy-whale-and-dolphin/train_images/{image_name}'\n    image = cv2.imread(image_path)[...,::-1]\n    \n    plt.figure(figsize=(24, 24))\n    plt.imshow(image)\n    plt.show()","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}