{"id":20268974,"url":"https://github.com/1adrianb/binary-human-pose-estimation","last_synced_at":"2025-07-19T13:12:40.266Z","repository":{"id":71161853,"uuid":"78448697","full_name":"1adrianb/binary-human-pose-estimation","owner":"1adrianb","description":"This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.","archived":false,"fork":false,"pushed_at":"2021-04-27T17:33:28.000Z","size":18,"stargazers_count":212,"open_issues_count":7,"forks_count":69,"subscribers_count":19,"default_branch":"master","last_synced_at":"2025-03-31T03:09:15.182Z","etag":null,"topics":["binary","computer-vision","deep-learning","human-pose-estimation","network-binarization","torch7"],"latest_commit_sha":null,"homepage":"https://www.adrianbulat.com/binary-human-pose-estimation","language":"Lua","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/1adrianb.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":"2017-01-09T16:50:03.000Z","updated_at":"2024-07-01T18:12:28.000Z","dependencies_parsed_at":"2023-02-22T12:15:16.403Z","dependency_job_id":null,"html_url":"https://github.com/1adrianb/binary-human-pose-estimation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adrianb%2Fbinary-human-pose-estimation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adrianb%2Fbinary-human-pose-estimation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adrianb%2Fbinary-human-pose-estimation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/1adrianb%2Fbinary-human-pose-estimation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/1adrianb","download_url":"https://codeload.github.com/1adrianb/binary-human-pose-estimation/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252771571,"owners_count":21801738,"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":["binary","computer-vision","deep-learning","human-pose-estimation","network-binarization","torch7"],"created_at":"2024-11-14T12:22:11.431Z","updated_at":"2025-05-06T21:29:08.908Z","avatar_url":"https://github.com/1adrianb.png","language":"Lua","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources \n\nThis code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.\n\n**[2021 Update]: PyTorch repo with training code for BNN available here: [https://github.com/1adrianb/binary-networks-pytorch](https://github.com/1adrianb/binary-networks-pytorch)**\n\n**For the Face Alignment demo please check: [https://github.com/1adrianb/binary-face-alignment](https://github.com/1adrianb/binary-face-alignment)**\n\n## Requirements\n- Install the latest [Torch7](http://torch.ch/docs/getting-started.html) version (for Windows, please follow the instructions avaialable [here](https://github.com/torch/distro/blob/master/win-files/README.md))\n\n### Packages\n- [cutorch](https://github.com/torch/cutorch)\n- [nn](https://github.com/torch/nn)\n- [cudnn](https://github.com/soumith/cudnn.torch) (cudnn5 preffered)\n- [xlua](https://github.com/torch/xlua)\n- [image](https://github.com/torch/image)\n- [gnuplot](https://github.com/torch/gnuplot)\n- [cURL](https://github.com/Lua-cURL/Lua-cURLv3)\n- [paths](https://github.com/torch/paths)\n\n## Setup\nClone the github repository\n```bash\ngit clone https://github.com/1adrianb/binary-human-pose-estimation --recursive\ncd binary-human-pose-estimation\n```\n\nBuild and install the BinaryConvolution package\n```bash\ncd bnn.torch/; luarocks make; cd ..;\n```\n\nInstall the modified optnet package\n```bash\ncd optimize-net/; luarocks make rocks/optnet-scm-1.rockspec; cd ..;\n```\n\nRun the following command to prepare the files required by the demo. This will download 10 images from the MPII dataset alongside the dataset structure converted to .t7\n```bash\nth download-content.lua\n```\nDownload the model available bellow and place it in the models folder. \n\n## Usage\n\nIn order to run the demo simply type:\n```bash\nth main.lua\n```\n\n## Pretrained models\n\n| Layer type | Model Size | MPII  error |\n| ------------- | ----------- | ----------- |\n| [MPII](https://www.adrianbulat.com/downloads/BinaryHumanPose/human_pose_binary.t7)        | 1.3MB |76.0        |\n\nNote: More pretrained models will be added soon\n\n## Notes\n\nFor more details/questions please visit the [project page](https://www.adrianbulat.com/binary-cnn-landmarks) or send an email at adrian.bulat@nottingham.ac.uk\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1adrianb%2Fbinary-human-pose-estimation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F1adrianb%2Fbinary-human-pose-estimation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F1adrianb%2Fbinary-human-pose-estimation/lists"}