| { |
| "DEPLOYMENT.md": "089cadec89caa645a5f2617f869ec50186dd8db574b0680a51d4bc12f84b96cb", |
| "README.md": "f05ab35140319d6d8d5a65669d62645e3909b1ec1bd233bd66e0af3c1b135eb3", |
| "RESEARCH_REPORT.md": "6730cf20f7a584707fb0c084b882ac87db1ef858d72e7d5e716e5e0d382ddca1", |
| "RESEARCH_ROUND2.md": "19f42c72003cb685f46b315105ad2d4e62a10a7e0cd1455ab11db51bd5083728", |
| "colorization_project_log.md": "66dbd61e5e45f208fdd36525f19c232678892295d6b31882a5fb71627cb731b9", |
| "colorize_onnx.py": "4ec6bc9dba4a998243e97b3bd824d25639455e6246a47886be1ee796121cf1ba", |
| "colorizer.json": "9f1db0072e91747bd6e9d6de1e2387440a4a2e0669554e499bbf29288a9758cd", |
| "colorizer.onnx": "0ef86749901e66ad53b1e8e1d940330572e2f4c9347ac01e7bc02c7683f8c79a", |
| "config.json": "90299ee25ee3c3e645b362ddbd5a859b9e739c2a0a1c8a5e9ea79df171288bff", |
| "export_onnx.py": "4b0b8494f0eba3e813457fe393c3b96ce1ab35fefcf5f63a9251f4e852552737", |
| "inference.py": "db958511d7a9eecec4c5730d96ac3f0005e002720b1a7f4b035e29cac7e7c5e3", |
| "model.py": "4cc57f82ffd6378bdf23a088ce7a1ed56c09e5673de3ee5232b8ee1cacc9be0a", |
| "model.safetensors": "0e4c417375684a044860f8af3ac3a2fb44e1a5729254ca33abda758ea71aea6e", |
| "reports/round2/coco_manifest.json": "80061d796a1e4f08b508203cd45513916f2f0e74efa0c516673413c44f9d6dcb", |
| "reports/round2/coco_revision.json": "c83949c5adf6e0e29dfb1d37c6beff0044bfa6a6a7161a6e0264bdbf41afd450", |
| "reports/round2/coco_validation200.json": "bf6adcb05a2a0f92a4f428073ff95ff9977064a2a99b3b911ee5c3a5797955ea", |
| "reports/round2/environment-lock.txt": "f95748796cbc5d0667fe17163b6054fb70567a9e87206473e743d150adc26e45", |
| "reports/round2/final_coco100.json": "dabe07889d4ce4fc512f60768aa5c3c6268060464e21aed9c4c1fe28294675a1", |
| "reports/round2/final_coco100.png": "2ba6c18c60e7858574f45f1fe6b1d25ef14031d8b92a3986ec057f5c945c337e", |
| "reports/round2/final_integrity.json": "de32a8c9173efdc112c776a4937a5024b61814e93b16818eeccf2c43bc60b62a", |
| "reports/round2/final_results.json": "40e2e317c3d083be9dedefdcc0ce942d0b972fd64164201680a6aeab589a870b", |
| "reports/round2/final_test200.json": "d525d24e8706ff3f7ee3478c1ab95b8d5875d0d8242f6389dc29b9416449ce63", |
| "reports/round2/final_test_comparison.png": "9681e45700aa5def0f69f67a49a45cadfddb06c1dc4b321995e09641eebf7f73", |
| "reports/round2/final_visual.json": "0ca89a7d8017046c085c7983374706df0c1970284d95a8519cf16bf4d65065a8", |
| "reports/round2/final_visual.png": "df2b3c271150059ab2f0d0a10f7fe889f1d3878c6096e14e0fd5df13edd7022a", |
| "reports/round2/hub_refs.json": "e714d59b825a333abbea48270353a8dffd5c1b1b8b629028a729fac063f7cbd8", |
| "reports/round2/jobs.json": "aa8dc41c57ae6ee41b5e51e8aff09055dafb536424413240cbeff3fcbabcbacc", |
| "reports/round2/manifest.json": "adaf3a771a4c1cd3e1c58e6d74eae2a164e1d00ddbca8232067711111caa62ea", |
| "reports/round2/onnx_benchmark.json": "2afbcbd29f9619dcc0cad1954f8fe2af3fdd11b94235b53883e8e0db53ef67f0", |
| "reports/round2/onnx_export.json": "9f1db0072e91747bd6e9d6de1e2387440a4a2e0669554e499bbf29288a9758cd", |
| "reports/round2/selection_protocol.md": "c297f6141a6c5419c2d6bba4ea1ecb5ce7295a78f9d16abec9e38224d5000a7b", |
| "reports/round2/tests-final.txt": "60e907edbabdfcc838d135fbd18b7733ab87c401bbf608c734f589abcc4687f8", |
| "reports/round2/weight_selection.json": "5ca680f16fab8fedb1ca1a14f59a127ee5d5a71e21fb3560f78417b530201df0", |
| "requirements-onnx.txt": "c243944cabecd501038b8027dc5fd08f6d2ce74bcc47cc121f5c8df1b8c4445c", |
| "requirements.txt": "a5b6a1804d983178099da00bad2f92a4196009384e431119cc73c5433d249622", |
| "spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a", |
| "training/color_statistics.npz": "1d14920885324137169e63f908a413ebf083e8db1e604d2333847fd2094f36a6", |
| "training/environment.txt": "ee1e54f3b86a977f74fbc0283ce0cfd2fcf54cc4c8ec4b9096634746eadcc18b", |
| "training/history.json": "714ff0c8364e33e75cff21b6abe94f78db6c4536faf016ad1f591eb0ebb7dc72", |
| "training/run_config.json": "6cdd4da9e0ae293e8f1895dd03d28bfb1f45c3abf19fc147cd8c18e6dfd36559", |
| "training/split_manifest.json": "dc5901733751e8585f959918e46ce75b520c6e241a79d26ab9b3df943a12ac38", |
| "upload_main.py": "d59fe5ebfc27f6051b7e7c6d8ad66b23092fa61b3db9fc87b33bff0fad2b483a" |
| } |
