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Samuel Callahan
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lung-ultrasound-scan-targ
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Changelog

v0.24.0 (07/03/2022)

Highlights

New Features

Improvements

  • Refactor multi-view 3D pose estimation framework towards better modularization and expansibility (#1196) @wusize
  • Add WebcamAPI documents and tutorials (#1187) @ly015
  • Refactor dataset evaluation interface to align with other OpenMMLab codebases (#1209) @ly015
  • Add deprecation message for deploy tools since MMDeploy has supported MMPose (#1207) @QwQ2000
  • Improve documentation quality (#1206, #1161) @ly015
  • Switch to OpenMMLab official pre-commit-hook for copyright check (#1214) @ly015

Bug Fixes

  • Fix hard-coded data collating and scattering in inference (#1175) @ly015
  • Fix model configs on JHMDB dataset (#1188) @jin-s13
  • Fix area calculation in pose tracking inference (#1197) @pallgeuer
  • Fix registry scope conflict of module wrapper (#1204) @ly015
  • Update MMCV installation in CI and documents (#1205)
  • Fix incorrect color channel order in visualization functions (#1212) @ly015

v0.23.0 (11/02/2022)

Highlights

New Features

  • Add MMPose Webcam API: A simple yet powerful tools to develop interactive webcam applications with MMPose functions. (#1178, #1173, #1173, #1143, #1094, #1133, #1098, #1160) @ly015, @jin-s13, @liqikai9, @wusize, @luminxu, @zengwang430521 @mzr1996
  • Support ConcatDataset (#1139) @Canwang-sjtu
  • Support CPU training and testing (#1157) @ly015

Improvements

  • Add multi-processing configurations to speed up distributed training and testing (#1146) @ly015

  • Add default runtime config (#1145)

  • Upgrade isort in pre-commit hook (#1179) @liqikai9

  • Update README and documents (#1171, #1167, #1153, #1149, #1148, #1147, #1140) @jin-s13, @wusize, @TommyZihao, @ly015

Bug Fixes

  • Fix undeterministic behavior in pre-commit hooks (#1136) @jin-s13
  • Deprecate the support for "python setup.py test" (#1179) @ly015
  • Fix incompatible settings with MMCV on HSigmoid default parameters (#1132) @ly015
  • Fix albumentation installation (#1184) @BIGWangYuDong

v0.22.0 (04/01/2022)

Highlights

New Features

Improvements

Bug Fixes

  • Fix a bug in Dark UDP postprocessing that causes error when the channel number is large. (#1079, #1116) @X00123, @jin-s13
  • Fix hard-coded sigmas in bottom-up image demo (#1107, #1101) @chenxinfeng4, @liqikai9
  • Fix unstable checks in unit tests (#1112) @ly015
  • Do not destroy NULL windows if args.show==False in demo scripts (#1104) @bladrome

v0.21.0 (06/12/2021)

Highlights

New Features

Improvements

Bug Fixes

  • Update pose tracking demo to be compatible with latest mmtracking (#1014) @jin-s13
  • Fix symlink creation failure when installed in Windows environments (#1039) @QwQ2000
  • Fix AP-10K dataset sigmas (#1040) @jin-s13

v0.20.0 (01/11/2021)

Highlights

  • Add AP-10K dataset for animal pose estimation (#987) @Annbless, @AlexTheBad, @jin-s13, @ly015
  • Support TorchServe (#979) @ly015

New Features

  • Add AP-10K dataset for animal pose estimation (#987) @Annbless, @AlexTheBad, @jin-s13, @ly015
  • Add HRNetv2 checkpoints on 300W and COFW datasets (#980) @jin-s13
  • Support TorchServe (#979) @ly015

Bug Fixes

  • Fix some deprecated or risky settings in configs (#963, #976, #992) @jin-s13, @wusize
  • Fix issues of default arguments of training and testing scripts (#970, #985) @liqikai9, @wusize
  • Fix heatmap and tag size mismatch in bottom-up with UDP (#994) @wusize
  • Fix python3.9 installation in CI (#983) @ly015
  • Fix model zoo document integrity issue (#990) @jin-s13

Improvements

  • Support non-square input shape for bottom-up (#991) @wusize
  • Add image and video resources for demo (#971) @liqikai9
  • Use CUDA docker images to accelerate CI (#973) @ly015
  • Add codespell hook and fix detected typos (#977) @ly015

v0.19.0 (08/10/2021)

Highlights

  • Add models for Associative Embedding with Hourglass network backbone (#906, #955) @jin-s13, @luminxu
  • Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets (#813) @jin-s13, @innerlee, @luminxu
  • Upgrade dataset interface (#901, #924) @jin-s13, @innerlee, @ly015, @liqikai9
  • New style of documentation (#945) @ly015

New Features

  • Add models for Associative Embedding with Hourglass network backbone (#906, #955) @jin-s13, @luminxu
  • Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets (#813) @jin-s13, @innerlee, @luminxu
  • Add pseudo-labeling tool to generate COCO style keypoint annotations with given bounding boxes (#928) @soltkreig
  • New style of documentation (#945) @ly015

Bug Fixes

  • Fix segmentation parsing in Macaque dataset preprocessing (#948) @jin-s13
  • Fix dependencies that may lead to CI failure in downstream projects (#936, #953) @RangiLyu, @ly015
  • Fix keypoint order in Human3.6M dataset (#940) @ttxskk
  • Fix unstable image loading for Interhand2.6M (#913) @zengwang430521

Improvements

  • Upgrade dataset interface (#901, #924) @jin-s13, @innerlee, @ly015, @liqikai9
  • Improve demo usability and stability (#908, #934) @ly015
  • Standardize model metafile format (#941) @ly015
  • Support persistent_worker and several other arguments in configs (#946) @jin-s13
  • Use MMCV root model registry to enable cross-project module building (#935) @RangiLyu
  • Improve the document quality (#916, #909, #942, #913, #956) @jin-s13, @ly015, @bit-scientist, @zengwang430521
  • Improve pull request template (#952, #954) @ly015

Breaking Changes

  • Upgrade dataset interface (#901) @jin-s13, @innerlee, @ly015

v0.18.0 (01/09/2021)

Bug Fixes

  • Fix redundant model weight loading in pytorch-to-onnx conversion (#850) @ly015
  • Fix a bug in update_model_index.py that may cause pre-commit hook failure(#866) @ly015
  • Fix a bug in interhand_3d_head (#890) @zengwang430521
  • Fix pose tracking demo failure caused by out-of-date configs (#891)

Improvements

  • Add automatic benchmark regression tools (#849, #880, #885) @liqikai9, @ly015
  • Add copyright information and checking hook (#872)
  • Add PR template (#875) @ly015
  • Add citation information (#876) @ly015
  • Add python3.9 in CI (#877, #883) @ly015
  • Improve the quality of the documents (#845, #845, #848, #867, #870, #873, #896) @jin-s13, @ly015, @zhiqwang

v0.17.0 (06/08/2021)

Highlights

  1. Support "Lite-HRNet: A Lightweight High-Resolution Network" CVPR'2021 (#733,#800) @jin-s13
  2. Add 3d body mesh demo (#771) @zengwang430521
  3. Add Chinese documentation (#787, #798, #799, #802, #804, #805, #815, #816, #817, #819, #839) @ly015, @luminxu, @jin-s13, @liqikai9, @zengwang430521
  4. Add Colab Tutorial (#834) @ly015

New Features

Bug Fixes

  • Fix mpii pckh@0.1 index (#773) @jin-s13
  • Fix multi-node distributed test (#818) @ly015
  • Fix docstring and init_weights error of ShuffleNetV1 (#814) @Junjun2016
  • Fix imshow_bbox error when input bboxes is empty (#796) @ly015
  • Fix model zoo doc generation (#778) @ly015
  • Fix typo (#767), (#780, #782) @ly015, @jin-s13

Breaking Changes

  • Use MMCV EvalHook (#686) @ly015

Improvements

  • Add pytest.ini and fix docstring (#812) @jin-s13
  • Update MSELoss (#829) @Ezra-Yu
  • Move process_mmdet_results into inference.py (#831) @ly015
  • Update resource limit (#783) @jin-s13
  • Use COCO 2D pose model in 3D demo examples (#785) @ly015
  • Change model zoo titles in the doc from center-aligned to left-aligned (#792, #797) @ly015
  • Support MIM (#706, #794) @ly015
  • Update out-of-date configs (#827) @jin-s13
  • Remove opencv-python-headless dependency by albumentations (#833) @ly015
  • Update QQ QR code in README_CN.md (#832) @ly015

v0.16.0 (02/07/2021)

Highlights

  1. Support "ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search" CVPR'2021 (#742,#755).
  2. Support MPI-INF-3DHP dataset (#683,#746,#751).
  3. Add webcam demo tool (#729)
  4. Add 3d body and hand pose estimation demo (#704, #727).

New Features

Bug Fixes

Breaking Changes

  • Switch to MMCV MODEL_REGISTRY (#669)

Improvements

  • Refactor MeshMixDataset (#752)
  • Rename 'GaussianHeatMap' to 'GaussianHeatmap' (#745)
  • Update out-of-date configs (#734)
  • Improve compatibility for breaking changes (#731)
  • Enable to control radius and thickness in visualization (#722)
  • Add regex dependency (#720)

v0.15.0 (02/06/2021)

Highlights

  1. Support 3d video pose estimation (VideoPose3D).
  2. Support 3d hand pose estimation (InterNet).
  3. Improve presentation of modelzoo.

New Features

  • Support "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image" (ECCV‘20) (#624)
  • Support "3D human pose estimation in video with temporal convolutions and semi-supervised training" (CVPR'19) (#602, #681)
  • Support 3d pose estimation demo (#653, #670)
  • Support bottom-up whole-body pose estimation (#689)
  • Support mmcli (#634)

Bug Fixes

Breaking Changes

  • Reorganize configs by tasks, algorithms, datasets, and techniques (#647)
  • Rename heads and detectors (#667)

Improvements

  • Add radius and thickness parameters in visualization (#638)
  • Add trans_prob parameter in TopDownRandomTranslation (#650)
  • Switch to MMCV MODEL_REGISTRY (#669)
  • Update dependencies (#674, #676)

v0.14.0 (06/05/2021)

Highlights

  1. Support animal pose estimation with 7 popular datasets.
  2. Support "A simple yet effective baseline for 3d human pose estimation" (ICCV'17).

New Features

  • Support "A simple yet effective baseline for 3d human pose estimation" (ICCV'17) (#554,#558,#566,#570,#589)
  • Support animal pose estimation (#559,#561,#563,#571,#603,#605)
  • Support Horse-10 dataset (#561), MacaquePose dataset (#561), Vinegar Fly dataset (#561), Desert Locust dataset (#561), Grevy's Zebra dataset (#561), ATRW dataset (#571), and Animal-Pose dataset (#603)
  • Support bottom-up pose tracking demo (#574)
  • Support FP16 training (#584,#616,#626)
  • Support NMS for bottom-up (#609)

Bug Fixes

  • Fix bugs in the top-down demo, when there are no people in the images (#569).
  • Fix the links in the doc (#612)

Improvements

v0.13.0 (31/03/2021)

Highlights

  1. Support Wingloss.
  2. Support RHD hand dataset.

New Features

  • Support Wingloss (#482)
  • Support RHD hand dataset (#523, #551)
  • Support Human3.6m dataset for 3d keypoint detection (#518, #527)
  • Support TCN model for 3d keypoint detection (#521, #522)
  • Support Interhand3D model for 3d hand detection (#536)
  • Support Multi-task detector (#480)

Bug Fixes

  • Fix PCKh@0.1 calculation (#516)
  • Fix unittest (#529)
  • Fix circular importing (#542)
  • Fix bugs in bottom-up keypoint score (#548)

Improvements

v0.12.0 (28/02/2021)

Highlights

  1. Support DeepPose algorithm.

New Features

  • Support DeepPose algorithm (#446, #461)
  • Support interhand3d dataset (#468)
  • Support Albumentation pipeline (#469)
  • Support PhotometricDistortion pipeline (#485)
  • Set seed option for training (#493)
  • Add demos for face keypoint detection (#502)

Bug Fixes

  • Change channel order according to configs (#504)
  • Fix num_factors in UDP encoding (#495)
  • Fix configs (#456)

Breaking Changes

  • Refactor configs for wholebody pose estimation (#487, #491)
  • Rename decode function for heads (#481)

Improvements

v0.11.0 (31/01/2021)

Highlights

  1. Support fashion landmark detection.
  2. Support face keypoint detection.
  3. Support pose tracking with MMTracking.

New Features

  • Support fashion landmark detection (DeepFashion) (#413)
  • Support face keypoint detection (300W, AFLW, COFW, WFLW) (#367)
  • Support pose tracking demo with MMTracking (#427)
  • Support face demo (#443)
  • Support AIC dataset for bottom-up methods (#438, #449)

Bug Fixes

  • Fix multi-batch training (#434)
  • Fix sigmas in AIC dataset (#441)
  • Fix config file (#420)

Breaking Changes

  • Refactor Heads (#382)

Improvements

v0.10.0 (31/12/2020)

Highlights

  1. Support more human pose estimation methods.
  2. UDP
  3. Support pose tracking.
  4. Support multi-batch inference.
  5. Add some useful tools, including analyze_logs, get_flops, print_config.
  6. Support more backbone networks.
  7. ResNest
  8. VGG

New Features

  • Support UDP (#353, #371, #402)
  • Support multi-batch inference (#390)
  • Support MHP dataset (#386)
  • Support pose tracking demo (#380)
  • Support mpii-trb demo (#372)
  • Support mobilenet for hand pose estimation (#377)
  • Support ResNest backbone (#370)
  • Support VGG backbone (#370)
  • Add some useful tools, including analyze_logs, get_flops, print_config (#324)

Bug Fixes

  • Fix bugs in pck evaluation (#328)
  • Fix model download links in README (#396, #397)
  • Fix CrowdPose annotations and update benchmarks (#384)
  • Fix modelzoo stat (#354, #360, #362)
  • Fix config files for aic datasets (#340)

Breaking Changes

  • Rename image_thr to det_bbox_thr for top-down methods.

Improvements

  • Organize the readme files (#398, #399, #400)
  • Check linting for markdown (#379)
  • Add faq.md (#350)
  • Remove PyTorch 1.4 in CI (#338)
  • Add pypi badge in readme (#329)

v0.9.0 (30/11/2020)

Highlights

  1. Support more human pose estimation methods.
  2. MSPN
  3. RSN
  4. Support video pose estimation datasets.
  5. sub-JHMDB
  6. Support Onnx model conversion.

New Features

  • Support MSPN (#278)
  • Support RSN (#221, #318)
  • Support new post-processing method for MSPN & RSN (#288)
  • Support sub-JHMDB dataset (#292)
  • Support urls for pre-trained models in config files (#232)
  • Support Onnx (#305)

Bug Fixes

  • Fix model download links in README (#255, #315)

Breaking Changes

  • post_process=True|False and unbiased_decoding=True|False are deprecated, use post_process=None|default|unbiased etc. instead (#288)

Improvements

v0.8.0 (31/10/2020)

Highlights

  1. Support more human pose estimation datasets.
  2. CrowdPose
  3. PoseTrack18
  4. Support more 2D hand keypoint estimation datasets.
  5. InterHand2.6
  6. Support adversarial training for 3D human shape recovery.
  7. Support multi-stage losses.
  8. Support mpii demo.

New Features

Bug Fixes

  • Fix config files (#190)

Improvements

  • Add mpii demo (#216)
  • Improve README (#181, #183, #208)
  • Support return heatmaps and backbone features (#196, #212)
  • Support different return formats of mmdetection models (#217)

v0.7.0 (30/9/2020)

Highlights

  1. Support HMR for 3D human shape recovery.
  2. Support WholeBody human pose estimation.
  3. COCO-WholeBody
  4. Support more 2D hand keypoint estimation datasets.
  5. Frei-hand
  6. CMU Panoptic HandDB
  7. Add more popular backbones & enrich the modelzoo
  8. ShuffleNetv2
  9. Support hand demo and whole-body demo.

New Features

Bug Fixes

  • Fix typos in docs (#121)
  • Fix assertion (#142)

Improvements

  • Add tools to transform .mat format to .json format (#126)
  • Add hand demo (#115)
  • Add whole-body demo (#163)
  • Reuse mmcv utility function and update version files (#135, #137)
  • Enrich the modelzoo (#147, #169)
  • Improve docs (#174, #175, #178)
  • Improve README (#176)
  • Improve version.py (#173)

v0.6.0 (31/8/2020)

Highlights

  1. Add more popular backbones & enrich the modelzoo
  2. ResNext
  3. SEResNet
  4. ResNetV1D
  5. MobileNetv2
  6. ShuffleNetv1
  7. CPM (Convolutional Pose Machine)
  8. Add more popular datasets:
  9. AIChallenger
  10. MPII
  11. MPII-TRB
  12. OCHuman
  13. Support 2d hand keypoint estimation.
  14. OneHand10K
  15. Support bottom-up inference.

New Features

Bug Fixes

  • Fix configs for MPII & MPII-TRB datasets (#93)
  • Fix the bug of missing test_pipeline in configs (#14)
  • Fix typos (#27, #28, #50, #53, #63)

Improvements

  • Update benchmark (#93)
  • Add Dockerfile (#44)
  • Improve unittest coverage and minor fix (#18)
  • Support CPUs for train/val/demo (#34)
  • Support bottom-up demo (#69)
  • Add tools to publish model (#62)
  • Enrich the modelzoo (#64, #68, #82)

v0.5.0 (21/7/2020)

Highlights

  • MMPose is released.

Main Features

  • Support both top-down and bottom-up pose estimation approaches.
  • Achieve higher training efficiency and higher accuracy than other popular codebases (e.g. AlphaPose, HRNet)
  • Support various backbone models: ResNet, HRNet, SCNet, Houglass and HigherHRNet.