{"id":15672949,"url":"https://github.com/bigwangyudong/lqit","last_synced_at":"2025-08-20T18:32:27.817Z","repository":{"id":164309890,"uuid":"559122819","full_name":"BIGWangYuDong/lqit","owner":"BIGWangYuDong","description":"Low Quality Image Toolbox","archived":false,"fork":false,"pushed_at":"2024-11-21T05:42:36.000Z","size":936,"stargazers_count":42,"open_issues_count":4,"forks_count":9,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-10T14:51:44.775Z","etag":null,"topics":["foggy-object-detection","low-quality-image","pytroch","underwater-image","underwater-object-detection"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BIGWangYuDong.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","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":"2022-10-29T05:57:02.000Z","updated_at":"2024-11-28T10:33:43.000Z","dependencies_parsed_at":"2023-10-27T17:24:34.511Z","dependency_job_id":"e7727f3b-a318-4ad7-b9f0-861343b94406","html_url":"https://github.com/BIGWangYuDong/lqit","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BIGWangYuDong%2Flqit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BIGWangYuDong%2Flqit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BIGWangYuDong%2Flqit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BIGWangYuDong%2Flqit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BIGWangYuDong","download_url":"https://codeload.github.com/BIGWangYuDong/lqit/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":230445926,"owners_count":18227060,"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":["foggy-object-detection","low-quality-image","pytroch","underwater-image","underwater-object-detection"],"created_at":"2024-10-03T15:34:14.539Z","updated_at":"2024-12-19T14:06:54.999Z","avatar_url":"https://github.com/BIGWangYuDong.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Low-Quality Image ToolBox\n\n\u003cdiv align=\"center\"\u003e\n  \u003cimg src=\"resources/lqit-logo.jpg\" width=\"600\"/\u003e\n\u003c/div\u003e\n\n\u003cdiv align=\"center\"\u003e\n\nEnglish | [简体中文](README_zh-CN.md)\n\n\u003c/div\u003e\n\n## Introduction\n\nLQIT is an open source Low-Quality Image Toolbox, including low-quality (underwater, foggy, low-light, etc.) image enhancement tasks,\nand related high-level computer vision tasks (such as object detection). LQIT depends on [PyTorch](https://pytorch.org/) and [OpenMMLab 2.0 series](https://github.com/open-mmlab).\n\nThe main branch works with **PyTorch 1.6+**.\nThe compatibility to earlier versions of PyTorch is not fully tested.\n\n## What's New\n\n**v0.0.1rc2** was released in 28/10/2023:\n\n- Support [FeiShu (Lark) robot](configs/lark/README.md)\n- Support [TIENet](https://link.springer.com/article/10.1007/s11760-023-02695-9), [UOD-AIR](https://ieeexplore.ieee.org/abstract/document/9949063), and [RDFFNet](https://link.springer.com/article/10.1007/s11760-022-02410-0)\n- Release `RTTS` foggy object detection models\n\nPlease refer to [changelog](docs/en/notes/changelog.md) for details and release history.\n\n## Installation \u0026 Dataset Preparation\n\nLQIT depends on [PyTorch](https://pytorch.org/), [MMEngine](https://github.com/open-mmlab/mmengine), [MMCV](https://github.com/open-mmlab/mmcv), and [MMEval](https://github.com/open-mmlab/mmeval).\nIt also can use [OpenMMLab codebases](https://github.com/open-mmlab) as a dependency, such as [MMDetection](https://github.com/open-mmlab/mmdetection/tree/master).\n\nPlease refer to [Installation](docs/en/get_started.md) for installation of LQIT and [data preparation](data/README.md) for dataset preparation.\n\n## Contributing\n\nWe appreciate all contributions to improve LQIT. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for the contributing guideline.\n\n## License\n\nLQIT is released under the [Apache 2.0 license](LICENSE), while some specific features in this library are with other licenses. Please refer to [LICENSES.md](LICENSES.md) for the careful check, if you are using our code for commercial matters.\n\n## Contact\n\nIf you have any questions, please contact Yudong Wang at yudongwang1226@gmail.com or yudongwang@tju.edu.cn.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbigwangyudong%2Flqit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbigwangyudong%2Flqit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbigwangyudong%2Flqit/lists"}