Papers › OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

18 Dec 2018arXiv:1812.08008archive 2025-07-28

Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, Yaser Sheikh

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

PaperPDFCodeCode Syntology ran

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Code

Syntology Ran 3 of 16 code samples harvested from 4 repositories linked to this paper; 13 have no recorded run. Of those that ran: 3 ran · our draft was wrong.

By repository: community (archive-listed): 15 samples from 4 repositories, 2 ran; 1 identical to code first harvested elsewhere. The run record, sample by sample. “Ran” means executed on a synthesized input, not that the code is correct or reproduces the paper.

51 repositories listed; official and paper-mentioned ones first.

CMU-Perceptual-Computing-Lab/openpose officialmentioned in papermentioned on GitHubpytorchNOASSERTION report
D1vyansh/BodyJointDetection mentioned on GitHubpytorch report
Jaekyu-Sim/Open_Pose_for_Naver mentioned on GitHubtf report
Kaif10/Pose-Detection mentioned on GitHub report
KarinaKorsgaard/Bartender-AI-OpenPose-Osc-Sender mentioned on GitHubpytorchNOASSERTION report
Sobeit-Tim/NuguEyeTest mentioned on GitHub report
Somoina/OpenHorse mentioned on GitHubpytorch report
blake58/openpose mentioned on GitHubpytorchNOASSERTION report
chengguixiong1010/rnn_STAF_2dpose mentioned on GitHubpytorchNOASSERTION report
daniegr/EfficientPose mentioned on GitHubpytorchApache-2.0 report
fcr3/OpenVINO_Tutorials mentioned on GitHubtf report
fcr3/wine_detector mentioned on GitHubtf report
hanghang177/pedestrian_awareness mentioned on GitHubpytorch report
harshalsonioo1/hpe mentioned on GitHubpytorchNOASSERTION report
jreisam/Unity-OpenPose-Edutable mentioned on GitHubNOASSERTION report
kohillyang/mx-detection mentioned on GitHubmxnet report
liang-faan/openpose mentioned on GitHubpytorchNOASSERTION report
lwxGitHub123/openpose mentioned on GitHubpytorchNOASSERTION report
lwxGitHub123/openpose20200610 mentioned on GitHubpytorchNOASSERTION report
mgolnezhad/openpose mentioned on GitHubpytorchNOASSERTION report
mohammadreyaz/openposered mentioned on GitHubpytorchNOASSERTION report
mohammadreyaz/pose mentioned on GitHubpytorchNOASSERTION report
oublalkhalid/AI-OpenPose mentioned on GitHubpytorchApache-2.0 report
qdhill/openpose mentioned on GitHubpytorchNOASSERTION report
radioactiverockets/OpenPoseBreackoutGame mentioned on GitHubNOASSERTION report
soulslicer/staf mentioned on GitHubpytorchNOASSERTION report
starman360/openpose_xavier mentioned on GitHubpytorchNOASSERTION report
techforgood-kiran/ai mentioned on GitHubpytorchNOASSERTION report
theyellowdiary/openpose mentioned on GitHubpytorchNOASSERTION report
xar47x/pose mentioned on GitHubpytorchNOASSERTION report
xiaozeguo123/-Quick-Capture-system-HSR mentioned on GitHubpytorchNOASSERTION report
yongsheng268/OpenPose mentioned on GitHubpytorchNOASSERTION report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

16 samples harvested; 3 ran; 0 honoured the contract we drafted; 13 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

3ran · our draft was wrong
13unverified

Licence: 2 of the 16 samples are pointer only, meaning Syntology does not serve that copy's text. This page shows no code text for any sample; each one links to its file in the repository.

Harvested from 4 repositories linked to this paper, official or community; each sample names its own and says which. Some samples are identical code Syntology first harvested from another repository; for those, this paper's copy is not located and its licence is not recorded. “Ran” means the sample executed on a synthesized input. It does not mean the output is correct, and nothing here reproduces the paper's results. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code.

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Repository labels, per sample. official repository: The archive marks this repository official for the paper. named in the paper: The archive records that the paper mentions this repository; it is not marked official. community (archive-listed): In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper. found in paper text by Syntology: Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted. community: Not in the archive's code links for this paper; a community repository Syntology harvested. Samples from a repository marked official are listed first. Licence labels name the repository's licence as recorded at harvest. “Pointer only” means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence label for the reason. File links open the file on GitHub at the default branch, which may have changed since the harvest.

conv_bn JohnnyHopp/Pose-Estimation-Part-Affinity-Field-Mobilenetv2-/20200307PAF/model/MobileNetV2.py community (archive-listed) ran · our draft was wrong MIT (permissive) · e087cbfa1e53486d · report
float2bytes CMU-Perceptual-Computing-Lab/openpose_train/training/generateLmdbFile.py community (archive-listed) ran · our draft was wrong licence not identified · pointer only · 834cbcb33923be04 · report
add_keypoints_to_json Zero-nnkn/ml-utils/cv/pose/openpose/openpose.py community (archive-listed) unverified MIT (permissive) · 476a86f50d438198 · report
eswish daniegr/EfficientPose/utils/helpers.py community (archive-listed) unverified Apache-2.0 (permissive) · 9aa84f03a1a82763 · report
get_data_paths Zero-nnkn/ml-utils/general/dir_utils.py community (archive-listed) unverified MIT (permissive) · 06d66e50cc455cb4 · report
get_palette Zero-nnkn/ml-utils/general/plots.py community (archive-listed) unverified MIT (permissive) · f9005559e9e55a8a · report
increment_path Zero-nnkn/ml-utils/general/file_utils.py community (archive-listed) unverified MIT (permissive) · ed6d0891a44e6ed1 · report
infer daniegr/EfficientPose/track.py community (archive-listed) unverified Apache-2.0 (permissive) · 73159ddf6c459bc0 · report
load_weights daniegr/EfficientPose/models/pytorch/EfficientPoseI.py community (archive-listed) unverified Apache-2.0 (permissive) · 3db00532c993361c · report
merge_images Zero-nnkn/ml-utils/general/plots.py community (archive-listed) unverified MIT (permissive) · 0d46a5dcabed7526 · report
resize daniegr/EfficientPose/utils/helpers.py community (archive-listed) unverified Apache-2.0 (permissive) · 3c960223e2a7d66f · report
swish1 daniegr/EfficientPose/utils/helpers.py community (archive-listed) unverified Apache-2.0 (permissive) · 091dcb41c7f65491 · report
xywh2xyxy Zero-nnkn/ml-utils/general/box_utils.py community (archive-listed) unverified MIT (permissive) · b0b65d41b359206a · report
xyxy2xywh Zero-nnkn/ml-utils/general/box_utils.py community (archive-listed) unverified MIT (permissive) · 4751d8803935f41a · report
xyxy2xywhn Zero-nnkn/ml-utils/general/box_utils.py community (archive-listed) unverified MIT (permissive) · 964295bcda075faf · report
conv_1x1_bn identical code first harvested elsewhere ran · our draft was wrong licence of this copy not recorded · a0131fb70c267a9e · report

Tasks

2D Pose EstimationKeypoint DetectionMulti-Person Pose EstimationPose Estimation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Multi-Person Pose Estimation CrowdPose OpenPose AP Easy 62.7 #28 of 28 Archive leaderboard report
Multi-Person Pose Estimation CrowdPose OpenPose AP Hard 32.3 #28 of 28 Archive leaderboard report
Multi-Person Pose Estimation CrowdPose OpenPose AP Medium 58.7 #28 of 28 Archive leaderboard report
Pose Estimation COCO test-dev OpenPose AP 64.2 #40 of 47 Archive leaderboard report
Pose Estimation COCO test-dev OpenPose AP50 86.2 #40 of 47 Archive leaderboard report
Pose Estimation COCO test-dev OpenPose AP75 70.1 #40 of 47 Archive leaderboard report
Pose Estimation COCO test-dev OpenPose APL 68.8 #40 of 47 Archive leaderboard report
Pose Estimation COCO test-dev OpenPose APM 61 #40 of 47 Archive leaderboard report
Pose Estimation MPII Single Person OpenPose PCKh@0.1 22.5 #4 of 5 Archive leaderboard report
Pose Estimation MPII Single Person OpenPose PCKh@0.5 88.8 #4 of 5 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Introduced by this paper: OpenPose

OpenPose

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