{"id":28532334,"url":"https://github.com/predict-idlab/landmarker","last_synced_at":"2026-03-08T19:37:04.152Z","repository":{"id":221158529,"uuid":"725675435","full_name":"predict-idlab/landmarker","owner":"predict-idlab","description":"PyTorch-based toolkit for landmark localization","archived":false,"fork":false,"pushed_at":"2025-06-26T08:53:44.000Z","size":41402,"stargazers_count":29,"open_issues_count":1,"forks_count":8,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-06-26T09:41:01.523Z","etag":null,"topics":["computer-vision","keypoint-detection","keypoints-detector","landmark-detection","landmark-localization","medical-image-analysis","medical-image-processing","python-package","pytorch"],"latest_commit_sha":null,"homepage":"https://predict-idlab.github.io/landmarker/","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/predict-idlab.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2023-11-30T16:31:45.000Z","updated_at":"2025-06-26T08:45:54.000Z","dependencies_parsed_at":"2025-06-17T10:37:29.860Z","dependency_job_id":null,"html_url":"https://github.com/predict-idlab/landmarker","commit_stats":null,"previous_names":["predict-idlab/landmarker"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/predict-idlab/landmarker","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/predict-idlab%2Flandmarker","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/predict-idlab%2Flandmarker/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/predict-idlab%2Flandmarker/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/predict-idlab%2Flandmarker/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/predict-idlab","download_url":"https://codeload.github.com/predict-idlab/landmarker/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/predict-idlab%2Flandmarker/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264091921,"owners_count":23556206,"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":["computer-vision","keypoint-detection","keypoints-detector","landmark-detection","landmark-localization","medical-image-analysis","medical-image-processing","python-package","pytorch"],"created_at":"2025-06-09T15:38:12.152Z","updated_at":"2026-03-08T19:37:04.146Z","avatar_url":"https://github.com/predict-idlab.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://predict-idlab.github.io/landmarker\"\u003e\n        \u003cimg alt=\"landmarker\" src=\"https://raw.githubusercontent.com/predict-idlab/landmarker/main/docs/_static/images/logo.svg\" width=\"66%\"\u003e\n    \u003c/a\u003e\n\u003c/p\u003e\n\n[![PyPI Latest Release](https://img.shields.io/pypi/v/landmarker.svg)](https://pypi.org/project/landmarker/)\n[![support-version](https://img.shields.io/badge/python-3.10%20%7C%203.11%20%7C%203.12%20%7C%203.13-blue)](https://pypi.org/project/landmarker/)\n[![codecov](https://img.shields.io/codecov/c/github/predict-idlab/landmarker?logo=codecov)](https://codecov.io/gh/predict-idlab/landmarker)\n[![CodeQL](https://github.com/predict-idlab/landmarker/actions/workflows/codeql.yml/badge.svg)](https://github.com/predict-idlab/landmarker/actions/workflows/codeql.yml)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?)](http://makeapullrequest.com)\n[![Documentation](https://github.com/predict-idlab/landmarker/actions/workflows/documentation.yml/badge.svg)](https://predict-idlab.github.io/landmarker/)\n[![Testing](https://github.com/predict-idlab/landmarker/actions/workflows/tests.yml/badge.svg)](https://github.com/predict-idlab/landmarker/actions/workflows/tests.yml)\n\n\nLandmarker is a [PyTorch](https://pytorch.org/)-based toolkit for (anatomical) landmark localization in 2D/3D images. It is designed to be easy to use and to provide a flexible framework for state-of-the-art landmark localization algorithms for small and large datasets. Landmarker was developed for landmark detection in medical images. However, it can be used for any type of landmark localization problem.\n\n## 🛠️ Installation\n\n|                                                      | command                               |\n| :--------------------------------------------------- | :------------------------------------ |\n| [**pip**](https://pypi.org/project/landmarker)          | `pip install landmarker`                  |\n\u003c!-- | [**conda**](https://anaconda.org/conda-forge/landmarker) | `conda install -c conda-forge landmarker` | --\u003e\n\n## 🚀 Getting Started\nTechnical documentation is available at [documentation](https://predict-idlab.github.io/landmarker/).\n\nExamples and tutorials are available at [examples](https://predict-idlab.github.io/landmarker/examples/index.html)\n\n## ✨ Features\n- **Modular**: Landmarker is designed to be modular. Almost all components can be used independently.\n- **Flexible**: Landmarker provides a flexible framework for landmark detection, allowing you to easily customize your model, loss function, and data loaders.\n- **State-of-the-art**: Landmarker provides state-of-the-art landmark detection models and loss functions.\n\n## 📈 Future Work\n- Extension to landmark detection in videos.\n- ...\n\n ## 👪 Contributing\n\nWe welcome contributions to Landmarker. Please read the [contributing guidelines](CONTRIBUTING.md) for more information.\n\n## 📖 Citation\nIf you use landmarker in your research, please cite the following paper:\n\nJ. Jonkers, L. Duchateau, G. Van Wallendael, and S. Van Hoecke, “landmarker: A Toolkit for Anatomical Landmark Localization in 2D/3D Images,” SoftwareX, vol. 30, p. 102165, May 2025, doi: 10.1016/j.softx.2025.102165.\n\nJ. Jonkers, F. Coopman, L. Duchateau, G. V. Wallendael, and S. V. Hoecke, “Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction,” Mar. 18, 2025, arXiv: arXiv:2503.14106. doi: 10.48550/arXiv.2503.14106.\n\n\n\n## 📝 License\nLandmark is licensed under the MIT [license](LICENSE).\n\n---\n\n\u003cp align=\"center\"\u003e\n👤 \u003ci\u003eJef Jonkers\u003c/i\u003e\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpredict-idlab%2Flandmarker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpredict-idlab%2Flandmarker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpredict-idlab%2Flandmarker/lists"}