{"id":13935906,"url":"https://github.com/open-mmlab/mmfashion","last_synced_at":"2025-05-15T21:05:05.225Z","repository":{"id":35637109,"uuid":"217456198","full_name":"open-mmlab/mmfashion","owner":"open-mmlab","description":"Open-source toolbox for visual fashion analysis based on PyTorch","archived":false,"fork":false,"pushed_at":"2024-05-10T22:41:30.000Z","size":15713,"stargazers_count":1299,"open_issues_count":87,"forks_count":287,"subscribers_count":44,"default_branch":"master","last_synced_at":"2025-04-08T02:42:39.496Z","etag":null,"topics":["attribute-prediction","clothes-retrieval","deep-learning","fashion-ai","landmark-detection","visual-fashion-analysis"],"latest_commit_sha":null,"homepage":"https://open-mmlab.github.io/","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/open-mmlab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"docs/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":"2019-10-25T05:15:34.000Z","updated_at":"2025-04-07T12:10:46.000Z","dependencies_parsed_at":"2024-12-17T08:17:39.447Z","dependency_job_id":null,"html_url":"https://github.com/open-mmlab/mmfashion","commit_stats":{"total_commits":239,"total_committers":7,"mean_commits":"34.142857142857146","dds":0.6485355648535565,"last_synced_commit":"0e26ab36847684fbf7f736c39df8d518129d9a69"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/open-mmlab%2Fmmfashion","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/open-mmlab%2Fmmfashion/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/open-mmlab%2Fmmfashion/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/open-mmlab%2Fmmfashion/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/open-mmlab","download_url":"https://codeload.github.com/open-mmlab/mmfashion/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254422755,"owners_count":22068678,"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":["attribute-prediction","clothes-retrieval","deep-learning","fashion-ai","landmark-detection","visual-fashion-analysis"],"created_at":"2024-08-07T23:02:11.422Z","updated_at":"2025-05-15T21:05:05.195Z","avatar_url":"https://github.com/open-mmlab.png","language":"Python","funding_links":[],"categories":["Python","Other"],"sub_categories":["Large-scale Fashion (DeepFashion) Database"],"readme":"# MMFashion\n\n\u003cp align=\"center\"\u003e\n    \u003cimg src='./misc/logo_mmfashion.png' width=320\u003e\n\u003c/p\u003e\n\n\n## Introduction\n\n[[Technical Report]](https://arxiv.org/abs/2005.08847)\n\n`MMFashion` is an open source visual fashion analysis toolbox based on [PyTorch](https://pytorch.org/). It is a part of the [open-mmlab](https://github.com/open-mmlab) project developed by [Multimedia Lab, CUHK](http://mmlab.ie.cuhk.edu.hk/).\n\n\n## Updates\n\n[2019-11-01] `MMFashion` v0.1 is released.\n\n[2020-02-14] `MMFashion` v0.2 is released, adding consumer-to-shop retrieval module.\n\n[2020-04-27] `MMFashion` v0.3 is released, adding fashion segmentation and parsing module.\n\n[2020-05-04] `MMFashion` v0.4 is released, adding fashion compatibility and recommendation module.\n\n[2020-12-08] `MMFashion` v0.5 is released, adding virtual try-on module.\n\n\u003cp align=\"left\"\u003e\n    \u003cimg src='./misc/demo_attribute.gif' height=220\u003e\n    \u003cimg src='./misc/demo_retrieval.gif' height=220\u003e\n    \u003cimg src='./misc/demo_parsing.gif' height=220\u003e\n    \u003cimg src='./misc/demo_landmark.gif' height=220\u003e\n    \u003cimg src='./misc/demo_compatibility.gif' height=220\u003e\n    \u003cimg src='./misc/demo_tryon.gif' height=220\u003e\n\u003c/p\u003e\n\n\n## Features\n\n- **Flexible:** modular design and easy to extend\n- **Friendly:** off-the-shelf models for layman users\n- **Comprehensive:** support a wide spectrum of fashion analysis tasks\n\n    - [x] Fashion Attribute Prediction\n    - [x] Fashion Recognition and Retrieval\n    - [x] Fashion Landmark Detection\n    - [x] Fashion Parsing and Segmentation\n    - [x] Fashion Compatibility and Recommendation\n    - [x] Fashion Virtual Try-On\n\n\n## Requirements\n\n- [Python 3.5+](https://www.python.org/)\n- [PyTorch 1.0.0+](https://pytorch.org/)\n- [mmcv](https://github.com/open-mmlab/mmcv)\n\n\n## Installation\n\n```sh\ngit clone --recursive https://github.com/open-mmlab/mmfashion.git\ncd mmfashion\npython setup.py install\n```\n\n### Another option: Docker Image\n\nWe provide a [Dockerfile](https://github.com/open-mmlab/mmfashion/blob/master/docker/Dockerfile) to build an image.\n\n```sh\n# build an image with PyTorch 1.5, CUDA 10.1\ndocker build -t mmfashion docker/\n```\n\nRun it with\n\n```sh\ndocker run --gpus all --shm-size=8g -it mmfashion\n```\n\n\n## Get Started\n\nPlease refer to [GETTING_STARTED.md](docs/GETTING_STARTED.md) for the basic usage of `MMFashion`.\n\n\n## Data Preparation\n\nPlease refer to [DATA_PREPARATION.md](docs/DATA_PREPARATION.md) for the dataset specifics of `MMFashion`.\n\n\n## Model Zoo\n\nPlease refer to [MODEL_ZOO.md](docs/MODEL_ZOO.md) for a comprehensive set of pre-trained models in `MMFashion`.\n\n\n## Contributing\n\nWe appreciate all contributions to improve `MMFashion`. Please refer to [CONTRIBUTING.md](docs/CONTRIBUTING.md) for the contributing guideline.\n\n\n## Related Tools\n\n- [fashion-detection](https://github.com/liuziwei7/fashion-detection)\n- [fashion-landmarks](https://github.com/liuziwei7/fashion-landmarks)\n- [fashion-cut](https://github.com/liuziwei7/fashion-cut)\n\n\n## License\n\nThis project is released under the [Apache 2.0 license](LICENSE).\n\n\n## Team\n\n* Xin Liu ([veralauee](https://github.com/veralauee))\n* Jiancheng Li ([lijiancheng0614](https://github.com/lijiancheng0614))\n* Jiaqi Wang ([myownskyW7](https://github.com/myownskyW7))\n* Ziwei Liu ([liuziwei7](https://github.com/liuziwei7))\n\n## Citation\n\n```\n@inproceedings{mmfashion,\n  title={MMFashion: An Open-Source Toolbox for Visual Fashion Analysis},\n  author={Liu, Xin and Li, Jiancheng and Wang, Jiaqi and Liu, Ziwei},\n  booktitle={{ACM Multimedia 2021, Open Source Software Competition},\n  year={2021}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopen-mmlab%2Fmmfashion","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopen-mmlab%2Fmmfashion","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopen-mmlab%2Fmmfashion/lists"}