MMPose V0.21.0 Release

Highlights

• Support "Learning Temporal Pose Estimation from Sparsely-Labeled Videos", NeurIPS'2019 (#932, #1006, #1036, #1060) @liqikai9
• Add ViPNAS-MobileNetV3 models (#1025) @luminxu, @jin-s13
• Add inference speed benchmark (#1028, #1034, #1044) @liqikai9

New Features

• Support "Learning Temporal Pose Estimation from Sparsely-Labeled Videos", NeurIPS'2019 (#932, #1006, #1036) @liqikai9
• Add ViPNAS-MobileNetV3 models (#1025) @luminxu, @jin-s13
• Add light-weight top-down models for whole-body keypoint detection (#1009, #1020, #1055) @luminxu, @ly015
• Add HRNet checkpoints with various settings on PoseTrack18 (#1035) @liqikai9

Improvements

• Add inference speed benchmark (#1028, #1034, #1044) @liqikai9
• Update model metafile format (#1001) @ly015
• Support minus output feature index in mobilenet_v3 (#1005) @luminxu
• Improve documentation quality (#1018, #1026, #1027, #1031, #1038, #1046, #1056, #1057) @edybk, @luminxu, @ly015, @jin-s13
• Set default random seed in training initialization (#1030) @ly015
• Skip CI when only specific files changed (#1041, #1059) @QwQ2000, @ly015
• Automatically cancel uncompleted action runs when new commit arrives (#1053) @ly015

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