{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"from glob import glob\nimport pandas as pd\nfrom os.path import basename","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"files = [basename(x) for x in glob('../input/deepfake-detection-challenge/test_videos/*.mp4')]\ns = pd.Series(index=pd.Index(data=files, name='filename'), data=[0.5 + 0.5*(x=='ahjnxtiamx.mp4') for x in files], name='label')\ns.to_frame().to_csv('submission.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"s.sort_index().head(10)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from IPython.display import HTML\nfrom base64 import b64encode\nvid1 = open('/kaggle/input/deepfake-detection-challenge/test_videos/ahjnxtiamx.mp4','rb').read()\ndata_url = \"data:video/mp4;base64,\" + b64encode(vid1).decode()\nHTML(\"\"\"\n<video width=600 controls>\n      <source src=\"%s\" type=\"video/mp4\">\n</video>\n\"\"\" % data_url)\n# credit https://www.kaggle.com/hamditarek/deepfake-detection-challenge-kaggle","execution_count":null,"outputs":[]}],"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":1}