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v0.13.0 (29/04/2022)

Highlights

  • Support tracking colab tutorial (#511)

New Features

  • Refactor the training datasets of SiamRPN++ (#496), (#518)

  • Support loading data from ceph for SOT datasets (#494)

  • Support loading data from ceph for MOT challenge dataset (#517)

  • Support evaluation metric for VIS task (#501)

Bug Fixes

  • Fix a bug in the LaSOT datasets and update the pretrained models of STARK (#483), (#503)

  • Fix a bug in the format_results function of VIS task (#504)

v0.12.0 (01/04/2022)

Highlights

Bug Fixes

  • Support empty tensor for selsa aggregator (#463)

v0.11.0 (04/03/2022)

Highlights

New Features

  • Support TAO dataset in MOT (#415)

v0.10.0 (10/02/2022)

New Features

  • Support CPU training (#404)

Improvements

v0.9.0 (05/01/2022)

Highlights

  • Support arXiv 2021 manuscript ‘ByteTrack: Multi-Object Tracking by Associating Every Detection Box’ (#385), (#383), (#372)

  • Support ICCV 2019 paper ‘Video Instance Segmentation’ (#304), (#303), (#298), (#292)

New Features

  • Support CrowdHuman dataset for MOT (#366)

  • Support VOT2018 dataset for SOT (#305)

  • Support YouTube-VIS dataset for VIS (#290)

Bug Fixes

  • Fix two significant bugs in SOT and provide new SOT pretrained models (#349)

Improvements

  • Refactor LaSOT, TrackingNet dataset and support GOT-10K datasets (#296)

  • Support persisitent workers (#348)

v0.8.0 (03/10/2021)

New Features

  • Support OTB100 dataset in SOT (#271)

  • Support TrackingNet dataset in SOT (#268)

  • Support UAV123 dataset in SOT (#260)

Bug Fixes

  • Fix a bug in mot_param_search.py (#270)

Improvements

  • Use PyTorch sphinx theme (#274)

  • Use pycocotools instead of mmpycocotools (#263)

v0.7.0 (03/09/2021)

Highlights

  • Release code of AAAI 2021 paper ‘Temporal ROI Align for Video Object Recognition’ (#247)

  • Refactor English documentations (#243)

  • Add Chinese documentations (#248), (#250)

New Features

  • Support fp16 training and testing (#230)

  • Release model using ResNeXt-101 as backbone for all VID methods (#254)

  • Support the results of Tracktor on MOT15, MOT16 and MOT20 datasets (#217)

  • Support visualization for single gpu test (#216)

Bug Fixes

  • Fix a bug in MOTP evaluation (#235)

  • Fix two bugs in reid training and testing (#249)

Improvements

  • Refactor anchor in SiameseRPN++ (#229)

  • Unify model initialization (#235)

  • Refactor unittest (#231)

v0.6.0 (30/07/2021)

Highlights

  • Fix training bugs of all three tasks (#219), (#221)

New Features

  • Support error visualization for mot task (#212)

Bug Fixes

  • Fix a bug in SOT demo (#213)

Improvements

  • Use MMCV registry (#220)

  • Add README.md for reid training (#210)

  • Modify dict keys of the outputs of SOT (#223)

  • Add Chinese docs including install.md, quick_run.md, model_zoo.md, dataset.md (#205), (#214)

v0.5.3 (01/07/2021)

New Features

Bug Fixes

  • Fix evaluation hook (#176)

  • Fix a typo in vid config (#171)

Improvements

  • Refactor nms config (#167)

v0.5.2 (03/06/2021)

Improvements

  • Fixed typos (#104, #121, #145)

  • Added conference reference (#111)

  • Updated the link of CONTRIBUTING to mmcv (#112)

  • Adapt updates in mmcv (FP16Hook) (#114, #119)

  • Added bibtex and links to other codebases (#122)

  • Added docker files (#124)

  • Used collect_env in mmcv (#129)

  • Added and updated Chinese README (#135, #147, #148)

v0.5.1 (01/02/2021)

Bug Fixes

  • Fixed ReID checkpoint loading (#80)

  • Fixed empty tensor in track_result (#86)

  • Fixed wait_time in MOT demo script (#92)

Improvements

  • Support single-stage detector for DeepSORT (#100)

v0.5.0 (04/01/2021)

Highlights

  • MMTracking is released!

New Features

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