{"id":20906068,"url":"https://github.com/arthur151/relative_human","last_synced_at":"2026-03-15T22:47:16.484Z","repository":{"id":46093616,"uuid":"474435802","full_name":"Arthur151/Relative_Human","owner":"Arthur151","description":"Relative Human dataset, CVPR 2022","archived":false,"fork":false,"pushed_at":"2025-03-22T01:11:33.000Z","size":2353,"stargazers_count":141,"open_issues_count":2,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-10-05T00:39:06.853Z","etag":null,"topics":["depth","human","monocular"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Arthur151.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,"zenodo":null}},"created_at":"2022-03-26T18:39:19.000Z","updated_at":"2025-10-04T14:12:06.000Z","dependencies_parsed_at":"2025-05-13T05:41:32.858Z","dependency_job_id":null,"html_url":"https://github.com/Arthur151/Relative_Human","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/Arthur151/Relative_Human","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arthur151%2FRelative_Human","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arthur151%2FRelative_Human/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arthur151%2FRelative_Human/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arthur151%2FRelative_Human/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Arthur151","download_url":"https://codeload.github.com/Arthur151/Relative_Human/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arthur151%2FRelative_Human/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30553563,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-15T15:03:43.933Z","status":"ssl_error","status_checked_at":"2026-03-15T15:03:37.630Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["depth","human","monocular"],"created_at":"2024-11-18T13:28:52.156Z","updated_at":"2026-03-15T22:47:16.459Z","avatar_url":"https://github.com/Arthur151.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e \n  \u003cimg src=\"assets/RH_logo.png\" width=\"40%\" /\u003e\n\u003c/h1\u003e\n\nRelative Human (RH) contains **multi-person in-the-wild** RGB images with rich human annotations, including:  \n - **Depth layers (DLs):** relative depth relationship/ordering between all people in the image.  \n - **Age group classfication:** adults, teenagers, kids, babies.  \n - Others: **Genders**, **Bounding box**, **2D pose**.  \n\n\u003cp float=\"center\"\u003e\n  \u003cimg src=\"assets/depth_layer.png\" width=\"20%\" /\u003e\n  \u003cimg src=\"assets/RH_demos.png\" width=\"46%\" /\u003e\n  \u003cimg src=\"assets/RH_skeletons.png\" width=\"30%\" /\u003e\n\u003c/p\u003e\n\nRH is introduced in CVPR 2022 paper [Putting People in their Place: Monocular Regression of 3D People in Depth](https://arxiv.org/abs/2112.08274).\n\n **[[Project Page]](https://arthur151.github.io/BEV/BEV.html) [[Video]](https://youtu.be/Q62fj_6AxRI) [[BEV Code]](https://github.com/Arthur151/ROMP)**\n\n## Download\n\n[[Google drive]](https://drive.google.com/drive/folders/1NR3sOJARATaLaV45lXg2be8jarC9gxbS?usp=sharing)   \n[[Baidu drive]](https://pan.baidu.com/s/12z2rNU-Sex-LvS7AaV_Mfg?pwd=r3vh)  \n\n## Leaderboard\n\nSee [Leaderboard](https://paperswithcode.com/sota/3d-depth-estimation-on-relative-human).\n\n## Why do we need RH?\n\n\u003cp float=\"center\"\u003e\n  \u003cimg src=\"assets/RH_table.png\" width=\"48%\" /\u003e\n\u003c/p\u003e\n\nExisting 3D datasets are poor in diversity of age and multi-person scenories. In contrast, RH contains richer subjects with explicit age annotations in the wild. We hope that RH can promote relative research, such as monocular depth reasoning, baby / child pose estimation, and so on. \n\n## How to use it?\n\nWe provide a toolbox for [data loading, visualization](demo.py), and [evaluation](RH_evaluation/evaluation.py). \n\nTo run the demo code, please download the data and set the dataset_dir in [demo code](demo.py).\n\nTo use it for training, please refer to [BEV](https://github.com/Arthur151/ROMP) for details.\n\n## Re-implementation\n\nTo re-implement RH results (in Tab. 1 of BEV paper), please first download the predictions from [here](https://github.com/Arthur151/Relative_Human/releases/download/Predictions/all_results.zip), then \n```\ncd Relative_Human/\n# BEV / ROMP / CRMH : set the path of downloaded results (.npz) in RH_evaluation/evaluation.py, then run\npython -m RH_evaluation.evaluation\n\ncd RH_evaluation/\n# 3DMPPE: set the paths in eval_3DMPPE_RH_results.py and then run\npython eval_3DMPPE_RH_results.py\n# SMAP: set the paths in eval_SMAP_RH_results.py and then run\npython eval_SMAP_RH_results.py\n```\n\n## Citation\nPlease cite our paper if you use RH in your research. \n```bibtex\n@InProceedings{sun2022BEV,\nauthor = {Sun, Yu and Liu, Wu and Bao, Qian and Fu, Yili and Mei, Tao and Black, Michael J},\ntitle = {Putting People in their Place: Monocular Regression of {3D} People in Depth}, \nbooktitle = {IEEE/CVF Conf.~on Computer Vision and Pattern Recognition (CVPR)}, \nyear = {2022}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farthur151%2Frelative_human","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farthur151%2Frelative_human","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farthur151%2Frelative_human/lists"}