{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d934e04d-3239-6f84-b985-5aa5910677ab"},"outputs":[],"source":"import numpy as np\nimport pandas as pd"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a8c69ea2-69a1-7623-e04f-ef026f4bf8d9"},"outputs":[],"source":"from subprocess import check_output\nimport glob"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"3543accf-2daf-e0f9-441d-d3e844083e7b"},"outputs":[],"source":"print(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6e217fb4-f1e4-9462-12ca-c07cc2e53e16"},"outputs":[],"source":"train = pd.read_csv('../input/Train/train.csv')\ntrain1 = glob.glob('../input/Train/*.jpg')\ntrain2 = glob.glob('../input/TrainDotted/*.jpg')\nsubmission = pd.read_csv('../input/sample_submission.csv')\nprint(len(train),len(train1), len(train2), len(submission))"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"9809bb48-3c21-dd45-ab38-9219d87a5280"},"outputs":[],"source":"train"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e12b789b-7cf1-cc24-0520-8bc7e6c9b87f"},"outputs":[],"source":""}],"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}