{"id":13579810,"url":"https://github.com/menpo/menpofit","last_synced_at":"2026-02-26T08:41:31.398Z","repository":{"id":22498507,"uuid":"25838018","full_name":"menpo/menpofit","owner":"menpo","description":"Menpo's 2D deformable modelling toolkit (AAMs/CLMs/SDMs)","archived":false,"fork":false,"pushed_at":"2024-05-07T11:00:31.000Z","size":3629,"stargazers_count":131,"open_issues_count":26,"forks_count":62,"subscribers_count":16,"default_branch":"master","last_synced_at":"2025-11-10T06:06:50.864Z","etag":null,"topics":["aam","clm","deformable-model","landmark-detection","menpo","python","sdm"],"latest_commit_sha":null,"homepage":"http://www.menpo.org","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/menpo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":"AUTHORS.txt","dei":null,"publiccode":null,"codemeta":null}},"created_at":"2014-10-27T20:36:39.000Z","updated_at":"2025-10-13T16:14:48.000Z","dependencies_parsed_at":"2024-08-01T15:31:22.603Z","dependency_job_id":"b0b3ce61-e36f-4294-915e-91c90090a720","html_url":"https://github.com/menpo/menpofit","commit_stats":{"total_commits":780,"total_committers":14,"mean_commits":"55.714285714285715","dds":0.6294871794871795,"last_synced_commit":"5f2f45bab26df206d43292fd32d19cd8f62f0443"},"previous_names":[],"tags_count":28,"template":false,"template_full_name":null,"purl":"pkg:github/menpo/menpofit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menpo%2Fmenpofit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menpo%2Fmenpofit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menpo%2Fmenpofit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menpo%2Fmenpofit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/menpo","download_url":"https://codeload.github.com/menpo/menpofit/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/menpo%2Fmenpofit/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29854084,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-25T22:37:40.667Z","status":"online","status_checked_at":"2026-02-26T02:00:06.774Z","response_time":89,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["aam","clm","deformable-model","landmark-detection","menpo","python","sdm"],"created_at":"2024-08-01T15:01:43.462Z","updated_at":"2026-02-26T08:41:31.377Z","avatar_url":"https://github.com/menpo.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg src=\"menpofit-logo.png\" alt=\"menpo\" width=\"30%\"\u003e\u003c/center\u003e\n  \u003cbr\u003e\u003cbr\u003e\n  \u003ca href=\"https://github.com/menpo/menpofit/blob/master/LICENSE.txt\"\u003e\u003cimg src=\"http://img.shields.io/badge/License-BSD-green.svg\" alt=\"BSD License\"/\u003e\u003c/a\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-2.7-green.svg\" alt=\"Python 2.7 Support\"/\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-3.4-green.svg\" alt=\"Python 3.4 Support\"/\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Python-3.5-green.svg\" alt=\"Python 3.5 Support\"/\u003e\n\u003c/p\u003e\n\nmenpofit - A deformable modelling toolkit\n=========================================\nThe [Menpo Project](http://www.menpo.org/) package for state-of-the-art 2D deformable modelling techniques.\nCurrently, the techniques that have been implemented include:\n\n### Affine Image Alignment\n  - **Lucas-Kanade Image Alignment**\n    - _Optimization algorithms:_ Forward Additive, Forward/Inverse Compositional\n    - _Residuals:_ SSD, Fourier SSD, ECC, Gradient Correlation, Gradient Images\n\n### Deformable Image Alignment\n  - **Active Template Model**\n    - _Model variants:_ Holistic, Patch-based, Masked, Linear, Linear Masked\n    - _Optimization algorithm:_ Lucas-Kanade Gradient Descent (Forward/Inverse Compositional)\n\n### Landmark Localization\n  - **Active Appearance Model**\n    - _Model variants:_ Holistic, Patch-based, Masked, Linear, Linear Masked\n    - _Optimization algorithms:_ Lucas-Kanade Gradient Descent (Alternating, Modified Alternating, Project Out, Simultaneous, Wiberg), Casaded-Regression\n  - **Active Pictorial Structures**\n    - _Model variant:_ Generative\n    - _Optimization algorithm:_ Weighted Gauss-Newton Optimisation with fixed Jacobian and Hessian\n  - **Constrained Local Model**\n    - Active Shape Models\n    - Regularized Landmark Mean-Shift\n  - **Unified Active Appearance Model and Constrained Local Model**\n    - Alternating/Project Out Regularized Landmark Mean-Shift\n  - **Ensemble of Regression Trees**\n    - \\[provided by [DLib](http://dlib.net/)\\]\n  - **Supervised Descent Method**\n    - _Model variants:_ Non Parametric, Parametric Shape, Parametric Appearance, Fully Parametric\n\nInstallation\n------------\nHere in the Menpo team, we are firm believers in making installation as simple\nas possible. Unfortunately, we are a complex project that relies on satisfying\na number of complex 3rd party library dependencies. The default Python packing\nenvironment does not make this an easy task. Therefore, we evangelise the use\nof the conda ecosystem, provided by\n[Anaconda](https://store.continuum.io/cshop/anaconda/). In order to make things\nas simple as possible, we suggest that you use conda too! To try and persuade\nyou, go to the [Menpo website](http://www.menpo.io/installation/) to find\ninstallation instructions for all major platforms.\n\nDocumentation\n-------------\nSee our documentation on [ReadTheDocs](http://menpofit.readthedocs.org)\n\nPretrained Models\n-----------------\nAny pretrained models are provided under the assumption that they are used only for **academic** purposes and may not be used for commercial applications. Please see the license of the [300W](https://ibug.doc.ic.ac.uk/resources/300-W/) project - upon which our pretrained models are trained.\n\nSpecifically, the pretrained models in `menpofit.aam.pretrained` may only be used for academic purposes.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmenpo%2Fmenpofit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmenpo%2Fmenpofit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmenpo%2Fmenpofit/lists"}