{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"9a990c74-8cc9-1dca-7aba-1c34be1b2ed4"},"outputs":[],"source":"import glob\nimport pandas as pd\ntrain= glob.glob(\"../input/train/**/*.jpg\")+glob.glob(\"../input/additional/**/*.jpg\")\ntrain = pd.DataFrame([[p.split('/')[3],p.split('/')[4],p] for p in train], columns = ['type','image','path'])\ntest = glob.glob(\"../input/test/*.jpg\")\ntest = pd.DataFrame([[p.split('/')[3],p] for p in test], columns = ['image','path'])\n"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"43a727c5-02a6-04fc-51b4-0c81637bce4d"},"outputs":[],"source":"from PIL import ImageFilter, ImageStat, Image, ImageDraw\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n%matplotlib inline\nimport cv2\n\ntypes = train.groupby('type', as_index=False).count()\ntypes.plot(kind='bar', x='type', y='path', figsize=(7,4))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"734e345d-343a-7480-ab72-073bb2f5ab52"},"outputs":[],"source":"types\n"}],"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}