{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ec109b0d-c7a3-cbe3-8cab-10f2ab9dde7e"},"outputs":[],"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\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e88abaa1-62ed-26b5-e751-8fe78b4d3da9"},"outputs":[],"source":"\ndef process_image(img_file1, img_file2):\n    img1 = cv2.imread(img_file1)\n    img1 = cv2.imread(img_file1)\n    diff = cv2.subtract(i)\n\n    return img"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"ca72c12b-7209-fa8b-84a5-9c333bbb5ec5"},"outputs":[],"source":"from subprocess import check_output\nprint(check_output([\"ls\", \"../input/Train\"]).decode(\"utf8\"))"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}