{ "format": "oscr-script-manifest/1", "repository": "github.com/ziyingc/flypairtracking", "url": "https://github.com/ziyingc/flypairtracking", "host": "github.com", "commit": "2b6022db1c4906f1320ce768ade9e67e734b11d4", "license": "MIT", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "DataStreamLine/01.convert_recording_to_video_with_timestamps.ipynb", "sha256": "21d7b058313776013a0b064eb089952220adeb20406a5f02b1c428ab48246876", "language": "Jupyter", "lines": 95, "truncated": false, "block": 14, "row": 15150 }, { "path": "DataStreamLine/02.a.data_entry_of_manual_score_edited.ipynb", "sha256": "65f8e6d741402803adcdc08ea9f004678d1342e364b4dede58e4cd8b42879368", "language": "Jupyter", "lines": 1613, "truncated": false, "block": 14, "row": 16657 }, { "path": "DataStreamLine/03.copy_selected_original_video.ipynb", "sha256": "81bb1aa06096f8b48adb3e6af5c3c751d992d2d53032a2a48142c3cc8392486a", "language": "Jupyter", "lines": 125, "truncated": false, "block": 14, "row": 15312 }, { "path": "DataStreamLine/04.crop_parameters.ipynb", "sha256": "c690364cb30102c35f897ff403059c88e70a118c435b014a4fe55d275c2617e9", "language": "Jupyter", "lines": 330, "truncated": false, "block": 14, "row": 16025 }, { "path": "DataStreamLine/05.Clips.ipynb", "sha256": "5e3673a0df87136483670dba32e48300e2c4f9f090b42620261138dbe3a222a4", "language": "Jupyter", "lines": 637, "truncated": false, "block": 14, "row": 16487 }, { "path": "DataStreamLine/06.a.deeplabcut_train_and_analyze_videos.ipynb", "sha256": "509a20500a9d4db02990d692b5c5b45fdc6f8528e392b32c74cc8ef0d70d9870", "language": "Jupyter", "lines": 171, "truncated": false, "block": 14, "row": 15589 }, { "path": "DataStreamLine/07.a.deeplabcut_analyze_videos_outliers.ipynb", "sha256": "25882e483138796fc45041ce03ba05bb0497f95e45fb47a2af2ce9cbb327a031", "language": "Jupyter", "lines": 175, "truncated": false, "block": 14, "row": 15386 }, { "path": "DataStreamLine/08.fly_ID_and_view_confirmation_all_bodyparts.ipynb", "sha256": "02eaee3376e16462026d227ab934988b461765ee372a7a828d6ef68d5c4d1091", "language": "Jupyter", "lines": 1862, "truncated": false, "block": 14, "row": 16710 }, { "path": "DataStreamLine/09.measure_body_size.ipynb", "sha256": "494377da9634ecd8dbebad7b83c863c22a464fb64f560d31cc536398674d5675", "language": "Jupyter", "lines": 1090, "truncated": false, "block": 14, "row": 16652 }, { "path": "DataStreamLine/10.tracker_decoder_3.ipynb", "sha256": "3a963ed90de3edacc4357bfdef6d3f388dc180d9021b7b5264de04a952dac71b", "language": "Jupyter", "lines": 1746, "truncated": false, "block": 14, "row": 16704 }, { "path": "DataStreamLine/11.downsampling.ipynb", "sha256": "22fa891184d72daac2c132ee9d0d0e104d05400554ee9b5326de8d4fcda52eb5", "language": "Jupyter", "lines": 406, "truncated": false, "block": 14, "row": 16188 }, { "path": "DataStreamLine/12.individual_events.ipynb", "sha256": "bcc73442857c718c776d408c84376b677e69783548ded8d7c695e19e136508c8", "language": "Jupyter", "lines": 1698, "truncated": false, "block": 14, "row": 16706 }, { "path": "LICENSE", "sha256": "18b314c633e1d61c3e92bce619754a9b53498a27c039f8aff6d2968057550ad4", "language": "License", "lines": 21, "truncated": false, "block": 14, "row": 16865 }, { "path": "README.md", "sha256": "54b0aa9a780e97ca86d0beae5bcc2b3d783786fa336fa7b62eb8a8f1a902a559", "language": "Text", "lines": 51, "truncated": false, "block": 16, "row": 7459 }, { "path": "numphly/MCAM_numply_global_variables.py", "sha256": "8b35ea3bddc0ba026b42aad3f8c7df78f3870ad0ae805e2cbf3d16e91dfea380", "language": "Python", "lines": 36, "truncated": false, "block": 15, "row": 8649 }, { "path": "numphly/mcam_tools.py", "sha256": "db3076aee970b5718693bc4c2184a2e2fb4f48cdfc24158f2a50198d7ec5dd36", "language": "Python", "lines": 691, "truncated": false, "block": 16, "row": 804 }, { "path": "numphly/numphly.py", "sha256": "3121bf31f31a3ba6cf5966cdc8a2bfc8284a4b7d5495aaf9444b37b2c0b9f575", "language": "Python", "lines": 1073, "truncated": false, "block": 16, "row": 991 }, { "path": "numphly/tracker_decoder.py", "sha256": "062b6575db85c1a4e0b1d7b84dd2fa8089bd5f88c6b9f71e9f79f2cee86c5b54", "language": "Python", "lines": 1158, "truncated": false, "block": 16, "row": 950 } ] }