MMAction2 V0.13.0 Release

Highlights

• Support LFB
• Support using backbone from MMCls/TorchVision
• Add Chinese documentation

New Features

• Support LFB (#553)
• Support using backbones from MMCls for TSN (#679)
• Support using backbones from TorchVision for TSN (#720)
• Support Mixup and Cutmix for recognizers (#681)
• Support Chinese documentation (#665, #680, #689, #701, #702, #703, #706, #716, #717, #731, #733, #735, #736, #737, #738, #739, #740, #742, #752, #759, #761, #772, #775)

Improvements

• Add slowfast config/json/log/ckpt for training custom classes of AVA (#678)
• Set RandAugment as Imgaug default transforms (#585)
• Add --test-last & --test-best for tools/train.py to test checkpoints after training (#608)
• Add fcn_testing in TPN (#684)
• Remove redundant recall functions (#741)
• Recursively remove pretrained step for testing (#695)
• Improve demo by limiting inference fps (#668)

Bug and Typo Fixes

• Fix a bug about multi-class in VideoDataset (#723)
• Reverse key-value in anet filelist generation (#686)
• Fix flow norm cfg typo (#693)

ModelZoo

• Add LFB for AVA2.1 (#553)
• Add TSN with ResNeXt-101-32x4d backbone as an example for using MMCls backbones (#679)
• Add TSN with Densenet161 backbone as an example for using TorchVision backbones (#720)
• Add slowonly_nl_embedded_gaussian_r50_4x16x1_150e_kinetics400_rgb (#690)
• Add slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb (#704)
• Add slowonly_nl_kinetics_pretrained_r50_4x16x1(8x8x1)_20e_ava_rgb (#730)