{"cells":[{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"%reload_ext autoreload\n%autoreload 2\n%matplotlib inline","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import os\nPATH=\"../input/iwildcam-2020-fgvc7\"\nos.listdir(PATH)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nfrom fastai.vision import *\nimport matplotlib.pyplot as plt\npd.set_option('display.max_columns', 500)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"! ls '../input/iwildcam-2020-fgvc7/train' | wc","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"! du -sh '../input/iwildcam-2020-fgvc7/train'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"! ls '../input/iwildcam-2020-fgvc7/test' | wc","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"! du -sh '../input/iwildcam-2020-fgvc7/test'","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import numpy as np\nfrom fastai.vision import *\nimport matplotlib.pyplot as plt\npd.set_option('display.max_columns', 500)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"path = Path('../input/iwildcam-2020-fgvc7/train')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"to be continue..."}],"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":4,"nbformat_minor":4}