{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"!apt-get install zip","execution_count":null,"outputs":[]},{"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\nfrom skimage.transform import resize\n\nimport os\nprint(os.listdir(\"../input/train_images\"))\nIMG_SIZE = 512\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":"list = os.listdir(\"../input/train_images\")\nnp.size(list)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"30e147acc85e435a4ac6ceb0301a543548743f25"},"cell_type":"code","source":"!mkdir grayscale\n#!mkdir graham\n#!mkdir graham_color","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"9d2105dd7bfb42c19040d3f295639496a0c221e4"},"cell_type":"code","source":"import cv2\nimport matplotlib.pyplot as plt\n# input image dimensions\n\nfor file in list:\n    base = os.path.basename(\"../input/train_images/\" + file)\n    fileName = os.path.splitext(base)[0]\n    img = cv2.imread(\"../input/train_images/\" + file, cv2.IMREAD_GRAYSCALE)   \n    #img = cv2.resize(img, (512,512))\n    cv2.imwrite(\"./grayscale/\" +  fileName + \".jpeg\",img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#for file in list:\n#    base = os.path.basename(\"../input/aptos2019-blindness-detection/train_images/\" + file)\n#    fileName = os.path.splitext(base)[0]\n#    img = cv2.imread(\"../input/aptos2019-blindness-detection/train_images/\" + file, cv2.IMREAD_GRAYSCALE)   \n#    #img = cv2.resize(img, (512,512))\n#    image=cv2.addWeighted ( image,4, cv2.GaussianBlur( image , (0,0) , IMG_SIZE/10) ,-4 ,128) # the trick is to add this line\n#    cv2.imwrite(\"./graham/\" + file,img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"#def load_ben_color(path, sigmaX=10 ):\n  #  image = cv2.imread(path)\n #   image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n   # image = crop_image_from_gray(image)\n    #image = cv2.resize(image, (512,512))\n    #image=cv2.addWeighted ( image,4, cv2.GaussianBlur( image , (0,0) , sigmaX) ,-4 ,128)\n        \n    #return image\n\n#for file in list:\n #   base = os.path.basename(\"../input/aptos2019-blindness-detection/train_images/\" + file)\n  #  fileName = os.path.splitext(base)[0]\n   # image = load_ben_color(\"../input/aptos2019-blindness-detection/train_images/\" + file,sigmaX=30)\n    #cv2.imwrite(\"./graham_color/\" + file,img)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"fbfa026f01eedc592cf074280abb036dd0f9ef80"},"cell_type":"code","source":"!zip grayscale.zip grayscale/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!rm -r grayscale","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!ls grayscale","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"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}