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mmpose/configs/face_2d_keypoint/topdown_heatmap
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Tau 6d10b2ec81
Dev 1.x (#2752) 
* update

* [Fix] Fix HRFormer log link

* [Feature] Add Application 'Just dance' (#2528)

* [Docs] Add advanced tutorial of implement new model. (#2539)

* [Doc] Update img (#2541)

* [Feature] Support MotionBERT (#2482)

* [Fix] Fix demo scripts (#2542)

* [Fix] Fix Pose3dInferencer keypoint shape bug (#2543)

* [Enhance] Add notifications when saving visualization results (#2545)

* [Fix] MotionBERT training and flip-test (#2548)

* [Docs] Enhance docs (#2555)

* [Docs] Fix links in doc (#2557)

* [Docs] add details (#2558)

* [Refactor] 3d human pose demo (#2554)

* [Docs] Update MotionBERT docs (#2559)

* [Refactor] Update the arguments of 3d inferencer to align with the demo script (#2561)

* [Enhance] Combined dataset supports custom sampling ratio (#2562)

* [Docs] Add MultiSourceSampler docs (#2563)

* [Doc] Refine docs (#2564)

* [Feature][MMSIG] Add UniFormer Pose Estimation to Projects folder (#2501)

* [Fix] Check the compatibility of inferencer's input/output  (#2567)

* [Fix]Fix 3d visualization (#2565)

* [Feature] Add bear example in just dance (#2568)

* [Doc] Add example and openxlab link for just dance (#2571)

* [Fix] Configs' paths of VideoPose3d (#2572)

* [Docs] update docs (#2573)

* [Fix] Fix new config bug in train.py (#2575)

* [Fix] Configs' of MotionBERT (#2574)

* [Enhance] Normalization option in 3d human pose demo and inferencer (#2576)

* [Fix] Fix the incorrect labels for training vis_head with combined datasets (#2550)

* [Enhance] Enhance 3dpose demo and docs (#2578)

* [Docs] Enhance Codecs documents (#2580)

* [Feature] Add DWPose distilled WholeBody RTMPose models (#2581)

* [Docs] Add deployment docs (#2582)

* [Fix] Refine 3dpose (#2583)

* [Fix] Fix config typo in rtmpose-x (#2585)

* [Fix] Fix 3d inferencer (#2593)

* [Feature] Add a simple visualize api (#2596)

* [Feature][MMSIG] Support badcase analyze in test (#2584)

* [Fix] fix bug in flip_bbox with xyxy format (#2598)

* [Feature] Support ubody dataset (2d keypoints) (#2588)

* [Fix] Fix visualization bug in 3d pose (#2594)

* [Fix] Remove use-multi-frames option (#2601)

* [Enhance] Update demos (#2602)

* [Enhance] wholebody support  openpose style visualization (#2609)

* [Docs] Documentation regarding 3d pose (#2599)

* [CodeCamp2023-533] Migration Deepfashion topdown heatmap algorithms to 1.x (#2597)

* [Fix] fix badcase hook (#2616)

* [Fix] Update dataset mim downloading source to OpenXLab (#2614)

* [Docs] Update docs structure (#2617)

* [Docs] Refine Docs (#2619)

* [Fix] Fix numpy error (#2626)

* [Docs] Update error info and docs (#2624)

* [Fix] Fix inferencer argument name (#2627)

* [Fix] fix links for coco+aic hrnet (#2630)

* [Fix] fix a bug when visualize keypoint indices (#2631)

* [Docs] Update rtmpose docs (#2642)

* [Docs] update README.md (#2647)

* [Docs] Add onnx of RTMPose models (#2656)

* [Docs] Fix mmengine link (#2655)

* [Docs] Update QR code (#2653)

* [Feature] Add DWPose (#2643)

* [Refactor] Reorganize distillers (#2658)

* [CodeCamp2023-259]Document Writing: Advanced Tutorial - Custom Data Augmentation (#2605)

* [Docs] Fix installation docs(#2668)

* [Fix] Fix expired links in README (#2673)

* [Feature] Support multi-dataset evaluation (#2674)

* [Refactor] Specify labels to pack in codecs (#2659)

* [Refactor] update mapping tables (#2676)

* [Fix] fix link (#2677)

* [Enhance] Enable CocoMetric to get ann_file from MessageHub (#2678)

* [Fix] fix vitpose pretrained ckpts (#2687)

* [Refactor] Refactor YOLOX-Pose into mmpose core package (#2620)

* [Fix] Fix typo in COCOMetric(#2691)

* [Fix] Fix bug raised by changing bbox_center to input_center (#2693)

* [Feature] Surpport EDPose for inference(#2688)

* [Refactor] Internet for 3d hand pose estimation (#2632)

* [Fix] Change test batch_size of edpose to 1 (#2701)

* [Docs] Add OpenXLab Badge (#2698)

* [Doc] fix inferencer doc (#2702)

* [Docs] Refine dataset config tutorial (#2707)

* [Fix] modify yoloxpose test settings (#2706)

* [Fix] add compatibility for argument `return_datasample` (#2708)

* [Feature] Support ubody3d dataset (#2699)

* [Fix] Fix 3d inferencer (#2709)

* [Fix] Move ubody3d dataset to wholebody3d (#2712)

* [Refactor] Refactor config and dataset file structures (#2711)

* [Fix] give more clues when loading img failed (#2714)

* [Feature] Add demo script for 3d hand pose  (#2710)

* [Fix] Fix Internet demo (#2717)

* [codecamp: mmpose-315] 300W-LP data set support (#2716)

* [Fix] Fix the typo in YOLOX-Pose (#2719)

* [Feature] Add detectors trained on humanart (#2724)

* [Feature] Add RTMPose-Wholebody (#2721)

* [Doc] Fix github action badge in README (#2727)

* [Fix] Fix bug of dwpose (#2728)

* [Feature] Support hand3d inferencer (#2729)

* [Fix] Fix new config of RTMW (#2731)

* [Fix] Align visualization color of 3d demo (#2734)

* [Fix] Refine h36m data loading and add head_size to PackPoseInputs (#2735)

* [Refactor] Align test accuracy for AE (#2737)

* [Refactor] Separate evaluation mappings from KeypointConverter (#2738)

* [Fix] MotionbertLabel codec (#2739)

* [Fix] Fix mask shape (#2740)

* [Feature] Add training datasets of RTMW (#2743)

* [Doc] update RTMPose README (#2744)

* [Fix] skip warnings in demo (#2746)

* Bump 1.2 (#2748)

* add comments in dekr configs (#2751)

---------

Co-authored-by: Peng Lu <penglu2097@gmail.com>
Co-authored-by: Yifan Lareina WU <mhsj16lareina@gmail.com>
Co-authored-by: Xin Li <7219519+xin-li-67@users.noreply.github.com>
Co-authored-by: Indigo6 <40358785+Indigo6@users.noreply.github.com>
Co-authored-by: 谢昕辰 <xiexinch@outlook.com>
Co-authored-by: tpoisonooo <khj.application@aliyun.com>
Co-authored-by: zhengjie.xu <jerryxuzhengjie@gmail.com>
Co-authored-by: Mesopotamia <54797851+yzd-v@users.noreply.github.com>
Co-authored-by: chaodyna <li0331_1@163.com>
Co-authored-by: lwttttt <85999869+lwttttt@users.noreply.github.com>
Co-authored-by: Kanji Yomoda <Kanji.yy@gmail.com>
Co-authored-by: LiuYi-Up <73060646+LiuYi-Up@users.noreply.github.com>
Co-authored-by: ZhaoQiiii <102809799+ZhaoQiiii@users.noreply.github.com>
Co-authored-by: Yang-ChangHui <71805205+Yang-Changhui@users.noreply.github.com>
Co-authored-by: Xuan Ju <89566272+juxuan27@users.noreply.github.com>
 		2023-10-12 18:14:58 +08:00
..
300w [Refactor] Add metafile (#2135) 2023-04-06 11:58:28 +08:00
300wlp Dev 1.x (#2752) 2023-10-12 18:14:58 +08:00
aflw [Refactor] Add metafile (#2135) 2023-04-06 11:58:28 +08:00
coco_wholebody_face [Refactor] Add metafile (#2135) 2023-04-06 11:58:28 +08:00
cofw [Refactor] Add metafile (#2135) 2023-04-06 11:58:28 +08:00
wflw [Docs] update demo docs with inferencer instruction (#2152) 2023-04-06 11:58:28 +08:00
README.md [Doc] Update algorithm readmes with performance tables (#1709) 2022-10-14 20:38:04 +08:00

README.md

Top-down heatmap-based pose estimation

Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes. Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint, following the paradigm introduced in Simple Baselines for Human Pose Estimation and Tracking.

Results and Models

300W Dataset

Results on 300W dataset

Model Input Size NMEcommon NMEchallenge NMEfull NMEtest Details and Download
HRNetv2-w18 256x256 2.92 5.64 3.45 4.10 hrnetv2_300w.md

AFLW Dataset

Results on AFLW dataset

Model Input Size NMEfull NMEfrontal Details and Download
HRNetv2-w18+Dark 256x256 1.35 1.19 hrnetv2_dark_aflw.md
HRNetv2-w18 256x256 1.41 1.27 hrnetv2_aflw.md

COCO-WholeBody-Face Dataset

Results on COCO-WholeBody-Face val set

Model Input Size NME Details and Download
HRNetv2-w18+Dark 256x256 0.0513 hrnetv2_dark_coco_wholebody_face.md
SCNet-50 256x256 0.0567 scnet_coco_wholebody_face.md
HRNetv2-w18 256x256 0.0569 hrnetv2_coco_wholebody_face.md
ResNet-50 256x256 0.0582 resnet_coco_wholebody_face.md
HourglassNet 256x256 0.0587 hourglass_coco_wholebody_face.md
MobileNet-v2 256x256 0.0611 mobilenetv2_coco_wholebody_face.md

COFW Dataset

Results on COFW dataset

Model Input Size NME Details and Download
HRNetv2-w18 256x256 3.48 hrnetv2_cofw.md

WFLW Dataset

Results on WFLW dataset

Model Input Size NMEtest NMEpose NMEillumination NMEocclusion NMEblur NMEmakeup NMEexpression Details and Download
HRNetv2-w18+Dark 256x256 3.98 6.98 3.96 4.78 4.56 3.89 4.29 hrnetv2_dark_wflw.md
HRNetv2-w18+AWing 256x256 4.02 6.94 3.97 4.78 4.59 3.87 4.28 hrnetv2_awing_wflw.md
HRNetv2-w18 256x256 4.06 6.97 3.99 4.83 4.58 3.94 4.33 hrnetv2_wflw.md