{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"cfdc2632-e1e0-4a0b-2842-071592e10e45"},"outputs":[],"source":"import pandas as pd\nimport numpy as np\nimport glob\nfrom PIL import Image\nfrom PIL import ImageEnhance\n\ntrainResult = pd.read_csv('../input/Train/train.csv')\ntrain = glob.glob('../input/Train/*.jpg')\ntrainDotted = glob.glob('../input/TrainDotted/*.jpg')\n\nn = 1\n\nimage = Image.open(train[n])\nimageDotted = Image.open(trainDotted[n])\n\na = np.asarray(image)\nb = np.asarray(imageDotted)\n\nrows = b.shape[0]\ncols = b.shape[1]\n\na.flags.writeable = True\n\nprint (rows, cols)"}],"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}