{"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":"# 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.","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-02-21T14:01:11.339156Z","iopub.execute_input":"2023-02-21T14:01:11.339661Z","iopub.status.idle":"2023-02-21T14:01:11.344959Z","shell.execute_reply.started":"2023-02-21T14:01:11.339612Z","shell.execute_reply":"2023-02-21T14:01:11.344367Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"list = os.listdir('../input/coco2017/train2017/train2017/')\n#list.remove('trainLabels.csv')\nnp.size(list)","metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","execution":{"iopub.status.busy":"2023-02-21T14:01:11.351229Z","iopub.execute_input":"2023-02-21T14:01:11.351584Z","iopub.status.idle":"2023-02-21T14:01:11.449377Z","shell.execute_reply.started":"2023-02-21T14:01:11.351538Z","shell.execute_reply":"2023-02-21T14:01:11.448443Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"type(list)","metadata":{"execution":{"iopub.status.busy":"2023-02-21T14:01:11.450787Z","iopub.execute_input":"2023-02-21T14:01:11.451183Z","iopub.status.idle":"2023-02-21T14:01:11.456758Z","shell.execute_reply.started":"2023-02-21T14:01:11.451137Z","shell.execute_reply":"2023-02-21T14:01:11.455676Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!mkdir download_train2","metadata":{"_uuid":"30e147acc85e435a4ac6ceb0301a543548743f25","execution":{"iopub.status.busy":"2023-02-21T14:01:11.457837Z","iopub.execute_input":"2023-02-21T14:01:11.458077Z","iopub.status.idle":"2023-02-21T14:01:12.556892Z","shell.execute_reply.started":"2023-02-21T14:01:11.458033Z","shell.execute_reply":"2023-02-21T14:01:12.555878Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import cv2\n\n# input image dimensions\nimg_rows, img_cols = 192,256\n\nfor file in list[:4000]:\n    base = os.path.basename(\"../input/coco2017/train2017/train2017/\" + file)\n    fileName = os.path.splitext(base)[0]\n    im = cv2.imread(\"../input/coco2017/train2017/train2017/\" + file)   \n    img = cv2.resize(im,(img_rows,img_cols))\n    cv2.imwrite(\"./download_train2/\" + fileName +\".jpg\",img)","metadata":{"_uuid":"9d2105dd7bfb42c19040d3f295639496a0c221e4","execution":{"iopub.status.busy":"2023-02-21T14:01:12.558644Z","iopub.execute_input":"2023-02-21T14:01:12.558941Z","iopub.status.idle":"2023-02-21T14:02:08.554634Z","shell.execute_reply.started":"2023-02-21T14:01:12.558885Z","shell.execute_reply":"2023-02-21T14:02:08.553699Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!zip download_train2.zip download_train2","metadata":{"_uuid":"378494d579801959900fe8b1d73a7bfc6483bc46","execution":{"iopub.status.busy":"2023-02-21T14:02:36.817623Z","iopub.execute_input":"2023-02-21T14:02:36.817975Z","iopub.status.idle":"2023-02-21T14:02:37.911825Z","shell.execute_reply.started":"2023-02-21T14:02:36.817916Z","shell.execute_reply":"2023-02-21T14:02:37.910868Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"_uuid":"fbfa026f01eedc592cf074280abb036dd0f9ef80","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"_uuid":"4a6240b16331078a3eeccf594c4dff8b047bbf6a","trusted":true},"execution_count":null,"outputs":[]}]}