{"id":37320097,"url":"https://github.com/csiro/orientation-uv-rppg","last_synced_at":"2026-01-16T03:17:06.777Z","repository":{"id":310433233,"uuid":"1037005207","full_name":"csiro/orientation-uv-rppg","owner":"csiro","description":"[CVPRW2024] Repository for the paper \"Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation\"","archived":false,"fork":false,"pushed_at":"2025-08-18T03:38:47.000Z","size":1435,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"package","last_synced_at":"2025-09-10T06:42:07.407Z","etag":null,"topics":["computer-vision","deep-learning","remote-photoplethysmography","remote-physiological-measurement","rppg"],"latest_commit_sha":null,"homepage":"https://samcantrill.github.io/orientation-uv-rppg/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/csiro.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-08-12T23:21:51.000Z","updated_at":"2025-08-19T05:14:25.000Z","dependencies_parsed_at":"2025-08-18T05:32:52.235Z","dependency_job_id":null,"html_url":"https://github.com/csiro/orientation-uv-rppg","commit_stats":null,"previous_names":["csiro/orientation-uv-rppg"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/csiro/orientation-uv-rppg","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/csiro%2Forientation-uv-rppg","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/csiro%2Forientation-uv-rppg/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/csiro%2Forientation-uv-rppg/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/csiro%2Forientation-uv-rppg/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/csiro","download_url":"https://codeload.github.com/csiro/orientation-uv-rppg/tar.gz/refs/heads/package","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/csiro%2Forientation-uv-rppg/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28477090,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-16T03:13:13.607Z","status":"ssl_error","status_checked_at":"2026-01-16T03:11:47.863Z","response_time":107,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","deep-learning","remote-photoplethysmography","remote-physiological-measurement","rppg"],"created_at":"2026-01-16T03:17:06.084Z","updated_at":"2026-01-16T03:17:06.758Z","avatar_url":"https://github.com/csiro.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003eOrientation UV rPPG\u003c/h1\u003e\n\nA self-contained Python package containing the video processing module similar to that used in the paper \u003ca href=\"https://samcantrill.github.io/orientation-uv-rppg/\"\u003eOrientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation\u003c/a\u003e. For the full experimental code-base used to obtain the results in the paper please check out the `experiments` branch.\n\n\n\u003ch2\u003e:wrench: Installation\u003c/h2\u003e\n\n\u003ch3\u003ePrerequisites\u003c/h3\u003e\n\n\u003cul\u003e\n    \u003cli\u003ePython 3.10 or higher\u003c/lu\u003e\n    \u003cli\u003eCUDA-compatible GPU (optional, but recommended for performance)\n\u003c/ul\u003e\n\n\n\u003ch3\u003eInstall from GitHub\u003c/h3\u003e\n\n```Bash\npip install git+https://github.com/csiro-internal/orientation-uv-rppg.git@package\n```\n\n\n\u003ch2\u003e:computer: Quick Start\u003c/h2\u003e\n\n\u003ch3\u003eBasic Usage\u003c/h3\u003e\n\nThe simplest way to use the package:\n```Python\nimport torch\nimport orientation_uv_rppg as ouv\n\n# Create video processor with custom parameters\nprocessor = ouv.OrientationMaskedTextureSpaceVideoProcessor(\n    min_detection_confidence=0.7,    # Higher confidence threshold\n    min_tracking_confidence=0.8,     # More stable tracking\n    device=\"cuda\",                   # Use GPU acceleration\n    output_size=128,                 # Higher resolution output\n    degree_threshold=45.0            # Stricter orientation filtering\n)\n\n# Load your video frames\nframes = torch.randn(200, 720, 1280, 3)  # HD video frames\n\n# Process the video\nresult = processor(frames)\nprint(f\"Input: {frames.shape}\")\nprint(f\"Output: {result.shape}\")  # Should be [200, 128, 128, 3]\n```\n\nPlease see the \u003ccode\u003eexamples/\u003c/code\u003e directory for usage examples and visualizations.\n\n\n\u003ch2\u003e:scroll: Citation\u003c/h2\u003e\n\nIf you find this useful please cite our [work](https://arxiv.org/abs/2404.09378).\n\n```\n@inproceedings{cantrill2024orientationconditionedfacialtexturemapping,\n      title={Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation}, \n      author={Sam Cantrill and David Ahmedt-Aristizabal and Lars Petersson and Hanna Suominen and Mohammad Ali Armin},\n      booktitle={Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition Workshops}\n      year={2024},\n      url={https://openaccess.thecvf.com/content/CVPR2024W/CVPM/papers/Cantrill_Orientation-conditioned_Facial_Texture_Mapping_for_Video-based_Facial_Remote_Photoplethysmography_Estimation_CVPRW_2024_paper.pdf}, \n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcsiro%2Forientation-uv-rppg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcsiro%2Forientation-uv-rppg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcsiro%2Forientation-uv-rppg/lists"}