{"id":25623425,"url":"https://github.com/DiTo97/PIQA","last_synced_at":"2026-06-01T14:30:15.796Z","repository":{"id":277241699,"uuid":"931672390","full_name":"DiTo97/Rf-PIQA","owner":"DiTo97","description":"A machine learning toolkit for reference-free panorama IQA modelling.","archived":false,"fork":false,"pushed_at":"2025-02-13T03:05:18.000Z","size":1150,"stargazers_count":1,"open_issues_count":4,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-19T22:56:40.664Z","etag":null,"topics":["distillation","image-quality-assessment","machine-learning","panorama","toolkit","uv"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DiTo97.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}},"created_at":"2025-02-12T17:05:06.000Z","updated_at":"2025-02-15T20:56:09.000Z","dependencies_parsed_at":"2025-02-12T22:43:04.546Z","dependency_job_id":null,"html_url":"https://github.com/DiTo97/Rf-PIQA","commit_stats":null,"previous_names":["dito97/rf-piqa"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2FRf-PIQA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2FRf-PIQA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2FRf-PIQA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2FRf-PIQA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DiTo97","download_url":"https://codeload.github.com/DiTo97/Rf-PIQA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240170060,"owners_count":19759141,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["distillation","image-quality-assessment","machine-learning","panorama","toolkit","uv"],"created_at":"2025-02-22T11:37:59.540Z","updated_at":"2026-06-01T14:30:15.711Z","avatar_url":"https://github.com/DiTo97.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\u003cdiv align=\"center\"\u003e\n\n# Rf-PIQA\n\nA machine learning toolkit for reference-free panorama image quality assessment (Rf-PIQA) modelling.\n\n\u003cimg src=\"static/Rf-PIQA.png\" width=\"720\" height=\"283\"\u003e\n\u003c/div\u003e\n\n## 🚀 installation\n\n```shell\npython -m pip git+https://github.com/DiTo97/Rf-PIQA.git\n```\n\n## 🌟 overview\n\nThe toolkit supports two types of panorama image quality assessment (IQA):\n- **reference mode:** The model sees both a high-resolution panorama and its low‐resolution constituents.\n- **reference-free mode:** The model only sees a high-resolution panorama.\n\nA fully trained reference PIQA model shall be distilled into a reference‐less model via **teacher-student** training.\n\nThe toolkit supports two types of regression head:\n- A simple \"value estimate\" head (fully connected layer).\n- A PIVEN head for prediction intervals along with the value, and its corresponding loss[^1].\n\nThe PIVEN head is more expensive at training time, but enables confidence estimates on its predictions.\n\n## 📄 documentation\n\nThe toolkit's documentation is hosted as a [GitHub wiki](https://github.com/DiTo97/Rf-PIQA/wiki).\n\n## 🤝 contributing \n\ncontributions to **Rf-PIQA** are welcome!\n\nfeel free to submit pull requests or open issues on our repository.\n\n## 📄 license\n\nsee the [LICENSE](LICENSE) file for more details.\n\n[^1]: [Simhayev et al., PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction, 2020](https://arxiv.org/abs/2006.05139)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDiTo97%2FPIQA","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDiTo97%2FPIQA","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDiTo97%2FPIQA/lists"}