{"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":"import numpy as np \nimport pandas as pd\nfrom pathlib import Path\nimport os.path\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport seaborn as sns\nimport os\nimport cv2","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_img_Path = '../input/plant-pathology-2021-fgvc8/train_images'\n\ntest_img_Path = '../input/plant-pathology-2021-fgvc8/test_images'\n\nimg_Path = '../input/../input/resizedplant2021/img_sz_256'\n\ntrain = pd.read_csv(r'../input/plant-pathology-2021-fgvc8/train.csv')\n\nsample_submission = pd.read_csv(r'../input/plant-pathology-2021-fgvc8/sample_submission.csv')","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}