Download manifests/13/github.com__albanflachot__iid4constancy.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 14 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/13/github.com__albanflachot__iid4constancy.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/13/github.com__albanflachot__iid4constancy.json
-
curl -L -o github.com__albanflachot__iid4constancy.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/13/github.com__albanflachot__iid4constancy.json
14 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/albanflachot/iid4constancy", | |
| "url": "https://github.com/AlbanFlachot/IID4constancy/tree/main", | |
| "host": "github.com", | |
| "commit": "69417113b2665fdff0df7a91b852fff4b2d7c517", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "a22d5d3195b467b34f39358a9aadcdcad9df3cd09dabc0fad7d3315e19c7308c", | |
| "language": "License", | |
| "lines": 21, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 14055 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/AlbanNet/Unet.py", | |
| "sha256": "3dea6a93471b7799e33d858d45878518f876d330dc5aa66ecaead046b1267013", | |
| "language": "Python", | |
| "lines": 51, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 7860 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/AlbanNet/bash.py", | |
| "sha256": "fba7897471af61bf03a4de03007a00e020b8bfb211b7bbfc42fcb5123c510a1d", | |
| "language": "Python", | |
| "lines": 72, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 10510 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/AlbanNet/dataLoader.py", | |
| "sha256": "598916ed8d47e910f004cd17593edfa025e69913289810842d91a1bd5db13883", | |
| "language": "Python", | |
| "lines": 294, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 18958 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/AlbanNet/unet_parts.py", | |
| "sha256": "51d7a884030c9aeee4c2b38ca19c0d69b71aa6a094f95641f3a49f788ccd26e9", | |
| "language": "Python", | |
| "lines": 79, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 9785 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/Analysis.py", | |
| "sha256": "458e5ac5b652e659d1548a526a43183e91d61a365e990b78226b43a309bb5117", | |
| "language": "Python", | |
| "lines": 311, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 19414 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/Analysis_normal.py", | |
| "sha256": "2df7a01ae4b6ca3882b68a11bf821057b3ab98b323520aacae1890a75712f3c8", | |
| "language": "Python", | |
| "lines": 284, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 18748 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/LiNet/utils.py", | |
| "sha256": "09a4ce05728ea66ae1eb248c21803de1aebdf3e4f7b0cd2ba77e465529ed988a", | |
| "language": "Python", | |
| "lines": 207, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 16109 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/bash.py", | |
| "sha256": "b827150af04296e37061de09380a9ced5098d8189e84fecef0df7cd3fd7a8de5", | |
| "language": "Python", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 8642 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/create_listfile.py", | |
| "sha256": "2352f4537f0be685dc0cd367221c3d51d663e8eb467c912053db598ebdd8dffc", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 6784 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/libplot_metrics.py", | |
| "sha256": "2c61247b061cfc8532542a627351e8816b75acb3eb16bcdbf45d2cfcd69cd963", | |
| "language": "Python", | |
| "lines": 490, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 21029 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/smoothing.py", | |
| "sha256": "da3c6207cf670f42e3f633f142a93189e4d3cd0a8e7be13880f9d0c12fc89166", | |
| "language": "Python", | |
| "lines": 94, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 11702 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/utils_analyse.py", | |
| "sha256": "1f189ec02540ae38a401b3621e9034b85e64caa48da9b10e2a810ecd3b3550da", | |
| "language": "Python", | |
| "lines": 143, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 14544 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/utils_test.py", | |
| "sha256": "dd501ca92bec2b7738e1b82a793fbecfcf698cfba56219b541ad2c1618dcf021", | |
| "language": "Python", | |
| "lines": 114, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 12550 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/utils_train.py", | |
| "sha256": "4cfd417a5d3d4d6298c1e93fcebeb1965a23b259ce712a0a2e3ce84198bc0d49", | |
| "language": "Python", | |
| "lines": 946, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 302 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/lib_alban/utils_val.py", | |
| "sha256": "e9ef40f2f947ca6768a659a446b38d6b9db71763d2bf267afe7c8a48a50b08c7", | |
| "language": "Python", | |
| "lines": 849, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 138 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/models.py", | |
| "sha256": "3cca5e1b6343c9f1e31c0fc8135eaa627d71793c79468dceb998c142033125ac", | |
| "language": "Python", | |
| "lines": 575, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 21333 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/plot_metric_models.ipynb", | |
| "sha256": "3c1cb39eeb33fc591928d151fc67beabee55098bbec91bdb221481ae326ebd89", | |
| "language": "Jupyter", | |
| "lines": 254, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 13082 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/plot_metric_psychophysics.ipynb", | |
| "sha256": "31d571a791037b2594213e8ff7993036115e86939bd03f277f53541ed92fbfd5", | |
| "language": "Jupyter", | |
| "lines": 319, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 13285 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/run_single_image.py", | |
| "sha256": "45e7a6cdc97512ce6e64a7240da4e0a247a24d925b70d5d70cd44c48bb40beb1", | |
| "language": "Python", | |
| "lines": 82, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 9663 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/test_pengouin.ipynb", | |
| "sha256": "a45a8df9ddb854cf7d8316c1960793af49d904c86ddbfe95242e51fd909b4037", | |
| "language": "Jupyter", | |
| "lines": 168, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 12894 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/test_pipeline.py", | |
| "sha256": "b4bd841e4039884996a7cbe109676a74db3aa98677df417d08e2118d7d097924", | |
| "language": "Python", | |
| "lines": 159, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 14610 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/train_pipeline.py", | |
| "sha256": "37745a3d21f3f790b16c2a95b1fee6d3869ddace2041cb8c97d2692415194557", | |
| "language": "Python", | |
| "lines": 96, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 12296 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/validation_pipeline.py", | |
| "sha256": "178b470c0ab4897145b054f1b58d10207b7b3ea695000f5c746f1afb9a61574d", | |
| "language": "Python", | |
| "lines": 247, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 17783 | |
| }, | |
| { | |
| "path": "MODELING_and_ANALYSIS/visualize_predictions.py", | |
| "sha256": "5defc3001df870f5aeb1d16ab08858f96e41791865df3c2b25cf4aa35f052dc7", | |
| "language": "Python", | |
| "lines": 161, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 15659 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "10ce728fd0283dc6c482a4e1ba7f831718d0c4009292a420b0294f8d7a886b10", | |
| "language": "Text", | |
| "lines": 48, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 6440 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/blender_util.py", | |
| "sha256": "5695ac64a3865be5221155bae3cf704abb5524de498f749b5430302de4dfe63b", | |
| "language": "Python", | |
| "lines": 614, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 20743 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/init.sh", | |
| "sha256": "a57be78dd370e781df09b63f2d0f91f7f1cc10968c3c68211890725844e6ff92", | |
| "language": "Shell", | |
| "lines": 28, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 4784 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/job_sbatch.sh", | |
| "sha256": "1216aabff02f624ed80f37ae7cae914bf833244f9bf8529f4017c436cd4cb740", | |
| "language": "Shell", | |
| "lines": 25, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 4527 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/job_tvt.sh", | |
| "sha256": "0e3c3ac8b950a00a3c852e94ab4167189c9548afe7e8fa8cfe896e736f6a9eb3", | |
| "language": "Shell", | |
| "lines": 46, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 5081 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/render_util.py", | |
| "sha256": "3a6014388d8e1cf92654c6931d523a3f036ed98f00f61c15a67d1a0ae5d8598d", | |
| "language": "Python", | |
| "lines": 216, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 16468 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/slurm.py", | |
| "sha256": "ab418503db5a3e492cf28c28003240300752d39dcc70dab0aa48c37a1ae4cae1", | |
| "language": "Python", | |
| "lines": 41, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 6521 | |
| }, | |
| { | |
| "path": "RENDERINGS/lib/util.py", | |
| "sha256": "424f9c6c0740768390e63bf1939ea6c68dc68039d86e5b81a3e612dc99130103", | |
| "language": "Python", | |
| "lines": 18, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 4245 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/job_render.sh", | |
| "sha256": "f36f01120c6e8f77ac47ee1eb8d58ca95a1a0e6d79f784b2a745a3e2c6022dc6", | |
| "language": "Shell", | |
| "lines": 25, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 4656 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/job_stacktar.sh", | |
| "sha256": "a625c1b21a7ff1e9d13179cfb7e294833dcb097d892c4fbfdc46b47374807141", | |
| "language": "Shell", | |
| "lines": 14, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 4341 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/jobs_render.py", | |
| "sha256": "4ddf863c6cc1da40571cf819dc80cbd36a53e5b2a0f6fccdc47857835ae118db", | |
| "language": "Python", | |
| "lines": 64, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 8414 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/render.py", | |
| "sha256": "6bf5a754466094356e9166ec55c6e20aae27da4b9584b8b1863701c7a197ac4a", | |
| "language": "Python", | |
| "lines": 386, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 18924 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/stack_taring.py", | |
| "sha256": "8a732f82a6acf562a11277438c32c8b78510616ef6c489c899cb4d961eccaf66", | |
| "language": "Python", | |
| "lines": 45, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 7288 | |
| }, | |
| { | |
| "path": "RENDERINGS/render/taring.py", | |
| "sha256": "960bae21adfbda5cb8763209e930dcd7e2a908b8af557a58bf09413e431223d4", | |
| "language": "Python", | |
| "lines": 41, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 7237 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/bash.py", | |
| "sha256": "7038d930ece09c27ae536b96600af8f829c1996dcf133e4f6d6039cea940226e", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 4448 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/bash_conditions.py", | |
| "sha256": "0f41a1435f0c7deb55fc6100e18089d8df957aa79bcb05100a0bb5cb6776e8b6", | |
| "language": "Python", | |
| "lines": 154, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 15999 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/compute_conditions_cubes.ipynb", | |
| "sha256": "4ed8f806a120183440f0a7919988180c5ad5f15d42b4794cb891879487f1bf83", | |
| "language": "Jupyter", | |
| "lines": 422, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 13356 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/compute_conditions_floorpatterns.ipynb", | |
| "sha256": "a8eb19438c7453cf3f1bfd559fa4b2fce2254157d3c98b2c2b3062ee4098691f", | |
| "language": "Jupyter", | |
| "lines": 381, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 13296 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/convert_EXR2PNG.py", | |
| "sha256": "d258108110216fbef82101520918301150490270c934bd49ebd8efd6cd6057da", | |
| "language": "Python", | |
| "lines": 88, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 9425 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/gererate patterns.ipynb", | |
| "sha256": "6c8feb7c6daf0bfa9e818c56aecff4e38cd4ba9d62f52fb0dc394fc922b4f29a", | |
| "language": "Jupyter", | |
| "lines": 97, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 12301 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/blender_util.py", | |
| "sha256": "39e51a61d39bc35e9b4eb951407301e720c8fe835a48ca26721732ed7b7ba247", | |
| "language": "Python", | |
| "lines": 616, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 20760 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/blender_util_graham.py", | |
| "sha256": "c2ccc57d4824be6e7e96512e3eb4586564aba602f0f30f69b103366afe7d273f", | |
| "language": "Python", | |
| "lines": 597, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 20684 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/blender_util_spot.py", | |
| "sha256": "418b7b051f1de1b6e039049d8faf2b579bdcf9b8e45690dee4dcbe4533416a4e", | |
| "language": "Python", | |
| "lines": 611, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 20745 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/init.sh", | |
| "sha256": "c336429a5062ece34fb0db68d8cf846fc58cadcbc61b517dc1433f6057a58051", | |
| "language": "Shell", | |
| "lines": 26, | |
| "truncated": false, | |
| "block": 13, | |
| "row": 4782 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/lib_alban.py", | |
| "sha256": "cd11ef4bb37d3f56d23dd397f23f2f8e9ef10fb87448cb043737631c3b27cd13", | |
| "language": "Python", | |
| "lines": 284, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 17290 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/render_util.py", | |
| "sha256": "70a6f0b051e96210b42766cc684d550ff8ce8340f67d2f09bf31241c602e2d95", | |
| "language": "Python", | |
| "lines": 220, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 16510 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/slurm.py", | |
| "sha256": "ab418503db5a3e492cf28c28003240300752d39dcc70dab0aa48c37a1ae4cae1", | |
| "language": "Python", | |
| "lines": 41, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 6521 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/lib/util.py", | |
| "sha256": "424f9c6c0740768390e63bf1939ea6c68dc68039d86e5b81a3e612dc99130103", | |
| "language": "Python", | |
| "lines": 18, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 4245 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/obj_consistency_metric.ipynb", | |
| "sha256": "c31420c3febd5697fee8b9bbccd7d7a84fa71e3ac6710a4b12293510d37be3f3", | |
| "language": "Jupyter", | |
| "lines": 79, | |
| "truncated": false, | |
| "block": 11, | |
| "row": 12264 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/render_testset.py", | |
| "sha256": "63c5f54b8b13c709de899de6bae4c2b28df8a85111e98f69597135a70c536c43", | |
| "language": "Python", | |
| "lines": 204, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 15954 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/render_testset_empty.py", | |
| "sha256": "3a56556bce864ed1f4c5e00da180a337f0a79122a72330cdeec8d139ecc807d0", | |
| "language": "Python", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 10827 | |
| }, | |
| { | |
| "path": "RENDERINGS/render_testsets/render_testset_mask.py", | |
| "sha256": "dd49a0032f992056d25bdae309e9177d6aabe9689af0b74e0dcfee0cb81dfec2", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 12, | |
| "row": 13916 | |
| } | |
| ] | |
| } |