mirror of https://github.com/open-mmlab/mmpose
6d10b2ec81
* 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> |
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| deepfashion2 | ||
| README.md | ||
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
DeepFashion Dataset
Results on DeepFashion dataset with ResNet backbones:
| Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
|---|---|---|---|---|---|
| HRNet-w48-UDP-Upper | 256x192 | 96.1 | 60.9 | 15.1 | hrnet_deepfashion.md |
| HRNet-w48-UDP-Lower | 256x192 | 97.8 | 76.1 | 8.9 | hrnet_deepfashion.md |
| HRNet-w48-UDP-Full | 256x192 | 98.3 | 67.3 | 11.7 | hrnet_deepfashion.md |
| ResNet-50-Upper | 256x192 | 95.4 | 57.8 | 16.8 | resnet_deepfashion.md |
| ResNet-50-Lower | 256x192 | 96.5 | 74.4 | 10.5 | resnet_deepfashion.md |
| ResNet-50-Full | 256x192 | 97.7 | 66.4 | 12.7 | resnet_deepfashion.md |
DeepFashion2 Dataset
Results on DeepFashion2 dataset
| Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
|---|---|---|---|---|---|
| ResNet-50-Short-Sleeved-Shirt | 256x192 | 0.988 | 0.703 | 10.2 | res50_deepfashion2.md |
| ResNet-50-Long-Sleeved-Shirt | 256x192 | 0.973 | 0.587 | 16.6 | res50_deepfashion2.md |
| ResNet-50-Short-Sleeved-Outwear | 256x192 | 0.966 | 0.408 | 24.0 | res50_deepfashion2.md |
| ResNet-50-Long-Sleeved-Outwear | 256x192 | 0.987 | 0.517 | 18.1 | res50_deepfashion2.md |
| ResNet-50-Vest | 256x192 | 0.981 | 0.643 | 12.7 | res50_deepfashion2.md |
| ResNet-50-Sling | 256x192 | 0.940 | 0.557 | 21.6 | res50_deepfashion2.md |
| ResNet-50-Shorts | 256x192 | 0.975 | 0.682 | 12.4 | res50_deepfashion2.md |
| ResNet-50-Trousers | 256x192 | 0.973 | 0.625 | 14.8 | res50_deepfashion2.md |
| ResNet-50-Skirt | 256x192 | 0.952 | 0.653 | 16.6 | res50_deepfashion2.md |
| ResNet-50-Short-Sleeved-Dress | 256x192 | 0.980 | 0.603 | 15.6 | res50_deepfashion2.md |
| ResNet-50-Long-Sleeved-Dress | 256x192 | 0.976 | 0.518 | 20.1 | res50_deepfashion2.md |
| ResNet-50-Vest-Dress | 256x192 | 0.980 | 0.600 | 16.0 | res50_deepfashion2.md |
| ResNet-50-Sling-Dress | 256x192 | 0.967 | 0.544 | 19.5 | res50_deepfashion2.md |