{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"train = os.listdir(\"../input/train\")\nprint(\"Number of image files in the train dataset:\", len(train))\n\ntest = os.listdir(\"../input/test\")\nprint(\"Number of image files in the test dataset:\", len(test))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"3d86b41b63c48b49e5851c2d7c461893e6046d39"},"cell_type":"code","source":"train_df = pd.read_csv(\"../input/train_ship_segmentations.csv\")\nprint(\"Train data:\\n\", train_df.head())\n\nprint(\"\\n\\n\" + \"*\"*80 + \"\\n\\n\")\n\ntest_df = pd.read_csv(\"../input/test_ship_segmentations.csv\")\nprint(\"Test data:\\n\", test_df.head())","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"333ee012e152318b8cdd5056a29fa04a81f40310"},"cell_type":"code","source":"def rle_decode(mask_rle, shape=(768, 768)):\n    pass","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"29327ce6979808802e8411ef9e5ff218fa9181ac"},"cell_type":"code","source":"ImageId = ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"00ebc05ca2b3531b9e52c13f892f7644f6b04db1"},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"9d1091729d04999af949ce1e288ba4a6bdf9c66e"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}