{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"15a61e92-03b8-dd40-6e06-4a6aff5ccebd"},"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/Train\",\"-l\"]).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":"cf06e9c9-846e-414d-bdd0-e44a26823fb8"},"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":"ca5376bd-3a84-63e3-e046-28781d382150"},"outputs":[],"source":"import cv2\nfrom matplotlib import pyplot as plt\nfor i in range(10):\n    img = cv2.imread('../input/Train/'+str(i)+'.jpg')\n    img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)\n    print(img.shape)\n    plt.figure()\n    plt.imshow(img)\nplt.show()"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"53b3edbb-9a26-30f7-ffa6-5199ff93adfa"},"outputs":[],"source":"import cv2\nfrom matplotlib import pyplot as plt\nfor i in range(10):\n    img = cv2.imread('../input/Train/'+str(i)+'.jpg')\n    img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)\n    print(img.shape)\n    plt.figure()\n    plt.imshow(img)\nplt.show()"}],"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}