Changelog

0.24.0 (05/05/2022)

Highlights

• Support different seeds

New Features

• Add lateral norm in multigrid config (#1567)

• Add openpose 25 joints in graph config (#1578)

• Support MLU Backend (#1608)

Bug and Typo Fixes

• Fix local_rank (#1558)

• Fix install typo (#1571)

• Fix the inference API doc (#1580)

• Fix zh-CN demo.md and getting_started.md (#1587)

• Remove Recommonmark (#1595)

• Fix inference with ndarray (#1603)

• Fix the log error when IterBasedRunner is used (#1606)

0.23.0 (04/01/2022)

Highlights

• Support different seeds

• Provide multi-node training & testing script

• Update error log

New Features

• Support different seeds(#1502)

• Provide multi-node training & testing script(#1521)

• Update error log(#1546)

Documentations

• Update gpus in Slowfast readme(#1497)

• Fix work_dir in multigrid config(#1498)

• Add sub bn docs(#1503)

• Add shortcycle sampler docs(#1513)

• Update Windows Declaration(#1520)

• Update the link for ST-GCN(#1544)

• Update install commands(#1549)

Bug and Typo Fixes

• Update colab tutorial install cmds(#1522)

• Fix num_iters_per_epoch in analyze_logs.py(#1530)

• Fix distributed_sampler(#1532)

• Fix cd dir error(#1545)

• Update arg names(#1548)

ModelZoo

0.22.0 (03/05/2022)

Highlights

• Support Multigrid training strategy

• Support CPU training

• Support audio demo

• Support topk customizing in models/heads/base.py

New Features

• Support Multigrid training strategy(#1378)

• Support STGCN in demo_skeleton.py(#1391)

• Support CPU training(#1407)

• Support audio demo(#1425)

• Support topk customizing in models/heads/base.py(#1452)

Documentations

• Add OpenMMLab platform(#1393)

• Update links(#1394)

• Update readme in configs(#1404)

• Update instructions to install mmcv-full(#1426)

• Add shortcut(#1433)

• Update modelzoo(#1439)

• add video_structuralize in readme(#1455)

• Update OpenMMLab repo information(#1482)

Bug and Typo Fixes

• Update train.py(#1375)

• Fix printout bug(#1382)

• Update multi processing setting(#1395)

• Setup multi processing both in train and test(#1405)

• Fix bug in nondistributed multi-gpu training(#1406)

• Add variable fps in ava_dataset.py(#1409)

• Only support distributed training(#1414)

• Set test_mode for AVA configs(#1432)

• Support single label(#1434)

• Add check copyright(#1447)

• Support Windows CI(#1448)

• Fix wrong device of class_weight in models/losses/cross_entropy_loss.py(#1457)

• Fix bug caused by distributed(#1459)

• Update readme(#1460)

• Fix lint caused by colab automatic upload(#1461)

• Refine CI(#1471)

• Update pre-commit(#1474)

• Add deprecation message for deploy tool(#1483)

ModelZoo

• Support slowfast_steplr(#1421)

0.21.0 (31/12/2021)

Highlights

• Support 2s-AGCN

• Support publish models in Windows

• Improve some sthv1 related models

• Support BABEL

New Features

• Support 2s-AGCN(#1248)

• Support skip postproc in ntu_pose_extraction(#1295)

• Support publish models in Windows(#1325)

• Add copyright checkhook in pre-commit-config(#1344)

Documentations

• Add MMFlow (#1273)

• Revise README.md and add projects.md (#1286)

• Add 2s-AGCN in Updates(#1289)

• Add MMFewShot(#1300)

• Add MMHuman3d(#1304)

• Update pre-commit(#1313)

• Use share menu from the theme instead(#1328)

• Update installation command(#1340)

Bug and Typo Fixes

• Update the inference part in notebooks(#1256)

• Update the map_location(#1262)

• Fix bug that start_index is not used in RawFrameDecode(#1278)

• Fix bug in init_random_seed(#1282)

• Fix bug in setup.py(#1303)

• Fix interrogate error in workflows(#1305)

• Fix typo in slowfast config(#1309)

• Cancel previous runs that are not completed(#1327)

• Fix missing skip_postproc parameter(#1347)

• Update ssn.py(#1355)

• Use latest youtube-dl(#1357)

• Fix test-best(#1362)

ModelZoo

• Improve some sthv1 related models(#1306)

• Support BABEL(#1332)

0.20.0 (07/10/2021)

Highlights

• Support TorchServe

• Add video structuralize demo

• Support using 3D skeletons for skeleton-based action recognition

• Benchmark PoseC3D on UCF and HMDB

New Features

• Support TorchServe (#1212)

• Support 3D skeletons pre-processing (#1218)

• Support video structuralize demo (#1197)

Documentations

• Revise README.md and add projects.md (#1214)

• Add CN docs for Skeleton dataset, PoseC3D and ST-GCN (#1228, #1237, #1236)

• Add tutorial for custom dataset training for skeleton-based action recognition (#1234)

Bug and Typo Fixes

• Fix tutorial link (#1219)

• Fix GYM links (#1224)

ModelZoo

• Benchmark PoseC3D on UCF and HMDB (#1223)

• Add ST-GCN + 3D skeleton model for NTU60-XSub (#1236)

0.19.0 (07/10/2021)

Highlights

• Support ST-GCN

• Refactor the inference API

• Add code spell check hook

New Features

• Support ST-GCN (#1123)

Improvement

• Add label maps for every dataset (#1127)

• Remove useless code MultiGroupCrop (#1180)

• Refactor Inference API (#1191)

• Add code spell check hook (#1208)

• Use docker in CI (#1159)

Documentations

• Update metafiles to new OpenMMLAB protocols (#1134)

• Switch to new doc style (#1160)

• Improve the ERROR message (#1203)

• Fix invalid URL in getting_started (#1169)

Bug and Typo Fixes

• Compatible with new MMClassification (#1139)

• Add missing runtime dependencies (#1144)

• Fix THUMOS tag proposals path (#1156)

• Fix LoadHVULabel (#1194)

• Switch the default value of persistent_workers to False (#1202)

• Fix _freeze_stages for MobileNetV2 (#1193)

• Fix resume when building rawframes (#1150)

• Fix device bug for class weight (#1188)

• Correct Arg names in extract_audio.py (#1148)

ModelZoo

• Add TSM-MobileNetV2 ported from TSM (#1163)

• Add ST-GCN for NTURGB+D-XSub-60 (#1123)

0.18.0 (02/09/2021)

Improvement

• Add CopyRight (#1099)

• Support NTU Pose Extraction (#1076)

• Support Caching in RawFrameDecode (#1078)

• Add citations & Support python3.9 CI & Use fixed-version sphinx (#1125)

Documentations

• Add Descriptions of PoseC3D dataset (#1053)

Bug and Typo Fixes

• Fix SSV2 checkpoints (#1101)

• Fix CSN normalization (#1116)

• Fix typo (#1121)

• Fix new_crop_quadruple bug (#1108)

0.17.0 (03/08/2021)

Highlights

• Support PyTorch 1.9

• Support Pytorchvideo Transforms

• Support PreciseBN

New Features

• Support Pytorchvideo Transforms (#1008)

• Support PreciseBN (#1038)

Improvements

• Remove redundant augmentations in config files (#996)

• Make resource directory to hold common resource pictures (#1011)

• Remove deprecated FrameSelector (#1010)

• Support Concat Dataset (#1000)

• Add to-mp4 option to resize_videos.py (#1021)

• Add option to keep tail frames (#1050)

• Update MIM support (#1061)

• Calculate Top-K accurate and inaccurate classes (#1047)

Bug and Typo Fixes

• Fix bug in PoseC3D demo (#1009)

• Fix some problems in resize_videos.py (#1012)

• Support torch1.9 (#1015)

• Remove redundant code in CI (#1046)

• Fix bug about persistent_workers (#1044)

• Support TimeSformer feature extraction (#1035)

• Fix ColorJitter (#1025)

ModelZoo

• Add TSM-R50 sthv1 models trained by PytorchVideo RandAugment and AugMix (#1008)

• Update SlowOnly SthV1 checkpoints (#1034)

• Add SlowOnly Kinetics400 checkpoints trained with Precise-BN (#1038)

• Add CSN-R50 from scratch checkpoints (#1045)

• TPN Kinetics-400 Checkpoints trained with the new ColorJitter (#1025)

Documentation

• Add Chinese translation of feature_extraction.md (#1020)

• Fix the code snippet in getting_started.md (#1023)

• Fix TANet config table (#1028)

• Add description to PoseC3D dataset (#1053)

0.16.0 (01/07/2021)

Highlights

• Support using backbone from pytorch-image-models(timm)

• Support PIMS Decoder

• Demo for skeleton-based action recognition

• Support Timesformer

New Features

• Support using backbones from pytorch-image-models(timm) for TSN (#880)

• Support torchvision transformations in preprocessing pipelines (#972)

• Demo for skeleton-based action recognition (#972)

• Support Timesformer (#839)

Improvements

• Add a tool to find invalid videos (#907, #950)

• Add an option to specify spectrogram_type (#909)

• Add json output to video demo (#906)

• Add MIM related docs (#918)

• Rename lr to scheduler (#916)

• Support --cfg-options for demos (#911)

• Support number counting for flow-wise filename template (#922)

• Add Chinese tutorial (#941)

• Change ResNet3D default values (#939)

• Adjust script structure (#935)

• Add font color to args in long_video_demo (#947)

• Polish code style with Pylint (#908)

• Support PIMS Decoder (#946)

• Improve Metafiles (#956, #979, #966)

• Add links to download Kinetics400 validation (#920)

• Audit the usage of shutil.rmtree (#943)

• Polish localizer related codes(#913)

Bug and Typo Fixes

• Fix spatiotemporal detection demo (#899)

• Fix docstring for 3D inflate (#925)

• Fix bug of writing text to video with TextClip (#952)

• Fix mmcv install in CI (#977)

ModelZoo

• Add TSN with Swin Transformer backbone as an example for using pytorch-image-models(timm) backbones (#880)

• Port CSN checkpoints from VMZ (#945)

• Release various checkpoints for UCF101, HMDB51 and Sthv1 (#938)

• Support Timesformer (#839)

• Update TSM modelzoo (#981)

0.15.0 (31/05/2021)

Highlights

• Support PoseC3D

• Support ACRN

• Support MIM

New Features

• Support PoseC3D (#786, #890)

• Support MIM (#870)

• Support ACRN and Focal Loss (#891)

• Support Jester dataset (#864)

Improvements

• Add metric_options for evaluation to docs (#873)

• Support creating a new label map based on custom classes for demos about spatio temporal demo (#879)

• Improve document about AVA dataset preparation (#878)

• Provide a script to extract clip-level feature (#856)

Bug and Typo Fixes

• Fix issues about resume (#877, #878)

• Correct the key name of eval_results dictionary for metric ‘mmit_mean_average_precision’ (#885)

ModelZoo

• Support Jester dataset (#864)

• Support ACRN and Focal Loss (#891)

0.14.0 (30/04/2021)

Highlights

• Support TRN

• Support Diving48

New Features

• Support TRN (#755)

• Support Diving48 (#835)

• Support Webcam Demo for Spatio-temporal Action Detection Models (#795)

Improvements

• Add softmax option for pytorch2onnx tool (#781)

• Support TRN (#755)

• Test with onnx models and TensorRT engines (#758)

• Speed up AVA Testing (#784)

• Add self.with_neck attribute (#796)

• Update installation document (#798)

• Use a random master port (#809)

• Update AVA processing data document (#801)

• Refactor spatio-temporal augmentation (#782)

• Add QR code in CN README (#812)

• Add Alternative way to download Kinetics (#817, #822)

• Refactor Sampler (#790)

• Use EvalHook in MMCV with backward compatibility (#793)

• Use MMCV Model Registry (#843)

Bug and Typo Fixes

• Fix a bug in pytorch2onnx.py when num_classes <= 4 (#800, #824)

• Fix demo_spatiotemporal_det.py error (#803, #805)

• Fix loading config bugs when resume (#820)

• Make HMDB51 annotation generation more robust (#811)

ModelZoo

• Update checkpoint for 256 height in something-V2 (#789)

• Support Diving48 (#835)

0.13.0 (31/03/2021)

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)

0.12.0 (28/02/2021)

Highlights

• Support TSM-MobileNetV2

• Support TANet

• Support GPU Normalize

New Features

• Support TSM-MobileNetV2 (#415)

• Support flip with label mapping (#591)

• Add seed option for sampler (#642)

• Support GPU Normalize (#586)

• Support TANet (#595)

Improvements

• Training custom classes of ava dataset (#555)

• Add CN README in homepage (#592, #594)

• Support soft label for CrossEntropyLoss (#625)

• Refactor config: Specify train_cfg and test_cfg in model (#629)

• Provide an alternative way to download older kinetics annotations (#597)

• Update FAQ for

  • 1). data pipeline about video and frames (#598)

  • 2). how to show results (#598)

  • 3). batch size setting for batchnorm (#657)

  • 4). how to fix stages of backbone when finetuning models (#658)

• Modify default value of save_best (#600)

• Use BibTex rather than latex in markdown (#607)

• Add warnings of uninstalling mmdet and supplementary documents (#624)

• Support soft label for CrossEntropyLoss (#625)

Bug and Typo Fixes

• Fix value of pem_low_temporal_iou_threshold in BSN (#556)

• Fix ActivityNet download script (#601)

ModelZoo

• Add TSM-MobileNetV2 for Kinetics400 (#415)

• Add deeper SlowFast models (#605)

0.11.0 (31/01/2021)

Highlights

• Support imgaug

• Support spatial temporal demo

• Refactor EvalHook, config structure, unittest structure

New Features

• Support imgaug for augmentations in the data pipeline (#492)

• Support setting max_testing_views for extremely large models to save GPU memory used (#511)

• Add spatial temporal demo (#547, #566)

Improvements

• Refactor EvalHook (#395)

• Refactor AVA hook (#567)

• Add repo citation (#545)

• Add dataset size of Kinetics400 (#503)

• Add lazy operation docs (#504)

• Add class_weight for CrossEntropyLoss and BCELossWithLogits (#509)

• add some explanation about the resampling in slowfast (#502)

• Modify paper title in README.md (#512)

• Add alternative ways to download Kinetics (#521)

• Add OpenMMLab projects link in README (#530)

• Change default preprocessing to shortedge to 256 (#538)

• Add config tag in dataset README (#540)

• Add solution for markdownlint installation issue (#497)

• Add dataset overview in readthedocs (#548)

• Modify the trigger mode of the warnings of missing mmdet (#583)

• Refactor config structure (#488, #572)

• Refactor unittest structure (#433)

Bug and Typo Fixes

• Fix a bug about ava dataset validation (#527)

• Fix a bug about ResNet pretrain weight initialization (#582)

• Fix a bug in CI due to MMCV index (#495)

• Remove invalid links of MiT and MMiT (#516)

• Fix frame rate bug for AVA preparation (#576)

ModelZoo

0.10.0 (31/12/2020)

Highlights

• Support Spatio-Temporal Action Detection (AVA)

• Support precise BN

New Features

• Support precise BN (#501)

• Support Spatio-Temporal Action Detection (AVA) (#351)

• Support to return feature maps in inference_recognizer (#458)

Improvements

• Add arg stride to long_video_demo.py, to make inference faster (#468)

• Support training and testing for Spatio-Temporal Action Detection (#351)

• Fix CI due to pip upgrade (#454)

• Add markdown lint in pre-commit hook (#255)

• Speed up confusion matrix calculation (#465)

• Use title case in modelzoo statistics (#456)

• Add FAQ documents for easy troubleshooting. (#413, #420, #439)

• Support Spatio-Temporal Action Detection with context (#471)

• Add class weight for CrossEntropyLoss and BCELossWithLogits (#509)

• Add Lazy OPs docs (#504)

Bug and Typo Fixes

• Fix typo in default argument of BaseHead (#446)

• Fix potential bug about output_config overwrite (#463)

ModelZoo

• Add SlowOnly, SlowFast for AVA2.1 (#351)

0.9.0 (30/11/2020)

Highlights

• Support GradCAM utils for recognizers

• Support ResNet Audio model

New Features

• Automatically add modelzoo statistics to readthedocs (#327)

• Support GYM99 (#331, #336)

• Add AudioOnly Pathway from AVSlowFast. (#355)

• Add GradCAM utils for recognizer (#324)

• Add print config script (#345)

• Add online motion vector decoder (#291)

Improvements

• Support PyTorch 1.7 in CI (#312)

• Support to predict different labels in a long video (#274)

• Update docs bout test crops (#359)

• Polish code format using pylint manually (#338)

• Update unittest coverage (#358, #322, #325)

• Add random seed for building filelists (#323)

• Update colab tutorial (#367)

• set default batch_size of evaluation and testing to 1 (#250)

• Rename the preparation docs to README.md (#388)

• Move docs about demo to demo/README.md (#329)

• Remove redundant code in tools/test.py (#310)

• Automatically calculate number of test clips for Recognizer2D (#359)

Bug and Typo Fixes

• Fix rename Kinetics classnames bug (#384)

• Fix a bug in BaseDataset when data_prefix is None (#314)

• Fix a bug about tmp_folder in OpenCVInit (#357)

• Fix get_thread_id when not using disk as backend (#354, #357)

• Fix the bug of HVU object num_classes from 1679 to 1678 (#307)

• Fix typo in export_model.md (#399)

• Fix OmniSource training configs (#321)

• Fix Issue #306: Bug of SampleAVAFrames (#317)

ModelZoo

• Add SlowOnly model for GYM99, both RGB and Flow (#336)

• Add auto modelzoo statistics in readthedocs (#327)

• Add TSN for HMDB51 pretrained on Kinetics400, Moments in Time and ImageNet. (#372)

v0.8.0 (31/10/2020)

Highlights

• Support OmniSource

• Support C3D

• Support video recognition with audio modality

• Support HVU

• Support X3D

New Features

• Support AVA dataset preparation (#266)

• Support the training of video recognition dataset with multiple tag categories (#235)

• Support joint training with multiple training datasets of multiple formats, including images, untrimmed videos, etc. (#242)

• Support to specify a start epoch to conduct evaluation (#216)

• Implement X3D models, support testing with model weights converted from SlowFast (#288)

• Support specify a start epoch to conduct evaluation (#216)

Improvements

• Set default values of ‘average_clips’ in each config file so that there is no need to set it explicitly during testing in most cases (#232)

• Extend HVU datatools to generate individual file list for each tag category (#258)

• Support data preparation for Kinetics-600 and Kinetics-700 (#254)

• Use metric_dict to replace hardcoded arguments in evaluate function (#286)

• Add cfg-options in arguments to override some settings in the used config for convenience (#212)

• Rename the old evaluating protocol mean_average_precision as mmit_mean_average_precision since it is only used on MMIT and is not the mAP we usually talk about. Add mean_average_precision, which is the real mAP (#235)

• Add accurate setting (Three crop * 2 clip) and report corresponding performance for TSM model (#241)

• Add citations in each preparing_dataset.md in tools/data/dataset (#289)

• Update the performance of audio-visual fusion on Kinetics-400 (#281)

• Support data preparation of OmniSource web datasets, including GoogleImage, InsImage, InsVideo and KineticsRawVideo (#294)

• Use metric_options dict to provide metric args in evaluate (#286)

Bug Fixes

• Register FrameSelector in PIPELINES (#268)

• Fix the potential bug for default value in dataset_setting (#245)

• Fix multi-node dist test (#292)

• Fix the data preparation bug for something-something dataset (#278)

• Fix the invalid config url in slowonly README data benchmark (#249)

• Validate that the performance of models trained with videos have no significant difference comparing to the performance of models trained with rawframes (#256)

• Correct the img_norm_cfg used by TSN-3seg-R50 UCF-101 model, improve the Top-1 accuracy by 3% (#273)

ModelZoo

• Add Baselines for Kinetics-600 and Kinetics-700, including TSN-R50-8seg and SlowOnly-R50-8x8 (#259)

• Add OmniSource benchmark on MiniKineitcs (#296)

• Add Baselines for HVU, including TSN-R18-8seg on 6 tag categories of HVU (#287)

• Add X3D models ported from SlowFast (#288)

v0.7.0 (30/9/2020)

Highlights

• Support TPN

• Support JHMDB, UCF101-24, HVU dataset preparation

• support onnx model conversion

New Features

• Support the data pre-processing pipeline for the HVU Dataset (#277)

• Support real-time action recognition from web camera (#171)

• Support onnx (#160)

• Support UCF101-24 preparation (#219)

• Support evaluating mAP for ActivityNet with CUHK17_activitynet_pred (#176)

• Add the data pipeline for ActivityNet, including downloading videos, extracting RGB and Flow frames, finetuning TSN and extracting feature (#190)

• Support JHMDB preparation (#220)

ModelZoo

• Add finetuning setting for SlowOnly (#173)

• Add TSN and SlowOnly models trained with OmniSource, which achieve 75.7% Top-1 with TSN-R50-3seg and 80.4% Top-1 with SlowOnly-R101-8x8 (#215)

Improvements

• Support demo with video url (#165)

• Support multi-batch when testing (#184)

• Add tutorial for adding a new learning rate updater (#181)

• Add config name in meta info (#183)

• Remove git hash in __version__ (#189)

• Check mmcv version (#189)

• Update url with ‘https://download.openmmlab.com’ (#208)

• Update Docker file to support PyTorch 1.6 and update install.md (#209)

• Polish readsthedocs display (#217, #229)

Bug Fixes

• Fix the bug when using OpenCV to extract only RGB frames with original shape (#184)

• Fix the bug of sthv2 num_classes from 339 to 174 (#174, #207)

v0.6.0 (2/9/2020)

Highlights

• Support TIN, CSN, SSN, NonLocal

• Support FP16 training

New Features

• Support NonLocal module and provide ckpt in TSM and I3D (#41)

• Support SSN (#33, #37, #52, #55)

• Support CSN (#87)

• Support TIN (#53)

• Support HMDB51 dataset preparation (#60)

• Support encoding videos from frames (#84)

• Support FP16 training (#25)

• Enhance demo by supporting rawframe inference (#59), output video/gif (#72)

ModelZoo

• Update Slowfast modelzoo (#51)

• Update TSN, TSM video checkpoints (#50)

• Add data benchmark for TSN (#57)

• Add data benchmark for SlowOnly (#77)

• Add BSN/BMN performance results with feature extracted by our codebase (#99)

Improvements

• Polish data preparation codes (#70)

• Improve data preparation scripts (#58)

• Improve unittest coverage and minor fix (#62)

• Support PyTorch 1.6 in CI (#117)

• Support with_offset for rawframe dataset (#48)

• Support json annotation files (#119)

• Support multi-class in TSMHead (#104)

• Support using val_step() to validate data for each val workflow (#123)

• Use xxInit() method to get total_frames and make total_frames a required key (#90)

• Add paper introduction in model readme (#140)

• Adjust the directory structure of tools/ and rename some scripts files (#142)

Bug Fixes

• Fix configs for localization test (#67)

• Fix configs of SlowOnly by fixing lr to 8 gpus (#136)

• Fix the bug in analyze_log (#54)

• Fix the bug of generating HMDB51 class index file (#69)

• Fix the bug of using load_checkpoint() in ResNet (#93)

• Fix the bug of --work-dir when using slurm training script (#110)

• Correct the sthv1/sthv2 rawframes filelist generate command (#71)

• CosineAnnealing typo (#47)

v0.5.0 (9/7/2020)

Highlights

• MMAction2 is released

New Features

• Support various datasets: UCF101, Kinetics-400, Something-Something V1&V2, Moments in Time, Multi-Moments in Time, THUMOS14

• Support various action recognition methods: TSN, TSM, R(2+1)D, I3D, SlowOnly, SlowFast, Non-local

• Support various action localization methods: BSN, BMN

• Colab demo for action recognition