docs/source/changelog.md

Change Log

v0.3.0 (17/03/2023)

• Support new algorithms including Anchor-DETR and DETA.
• Release more than 10+ pretrained models (including the converted weights): DETR-R50 & R101, DETR-R50 & R101-DC5, DAB-DETR-R50 & R101-DC5, DAB-DETR-R50-3patterns, Conditional-DETR-R50 & R101-DC5, DN-DETR-R50-DC5, Anchor-DETR and the DETA-Swin-o365-finetune model which can achieve 62.9AP on coco val.
• Support MaskDINO on ADE20k semantic segmentation task.
• Support EMAHook during training by setting train.model_ema.enabled=True, which can enhance the model performance. DINO with EMA can achieve 49.4AP with only 12epoch training.
• Support mixed precision training by setting train.amp.enabled=True, which will reduce 20% to 30% GPU memory usage.
• Support train.fast_dev_run=True for fast debugging.
• Support encoder-decoder checkpoint in DINO, which may reduce 30% GPU memory usage.
• Support a great slurm training scripts by @rayleizhu, please check this issue for more details #213

v0.2.1 (01/02/2023)

New Algorithm

• MaskDINO COCO instance-seg/panoptic-seg pre-release #154

New Features

• New baselines for Res/Swin-DINO-5scale, ViTDet-DINO, FocalNet-DINO, etc. #138, #155
• Support FocalNet backbone #145
• Support Swin-V2 backbone #152

Documentation

• Add ViTDet / FocalNet download links and usage example, please refer to Download Pretrained Weights.
• Add tutorial on how to verify the correct installation of detrex. #194

Bug Fixes

• Fix demo confidence filter not to remove mask predictions #156

Code Refinement

• Make more readable logging info for criterion and matcher #151
• Modified learning rate scheduler config usage, add fundamental scheduler configuration #191

v0.2.0 (13/11/2022)

New Features

• Rebuild cleaner config files for projects #107
• Support H-Deformable-DETR #110
• Release H-Deformable-DETR pretrained weights including H-Deformable-DETR-R50, H-Deformable-DETR-Swin-Tiny, H-Deformable-DETR-Swin-Large.
• Add demo for visualizing customized input images or videos using pretrained weights #119
• Release new baselines for DINO-Swin-Large-36ep, DAB-Deformable-DETR-R50-50ep, DAB-Deformable-DETR-Two-Stage-50ep, H-DETR.

v0.1.1 (18/10/2022)

New Features

• Add model analyze tools for detrex #79
• Add benchmark #81
• Add visualization for COCO eval results and annotations #82
• Support Group-DETR algorhtim #84
• Release DINO-Swin training results #86
• Release better Deformable-DETR baselines #102 #103

Bug Fixes

• Fix bugs in ConvNeXt backbone #91

Documentation

• Add pretrained model weights download links #86

v0.1.0 (21/09/2022)

The beta v0.1.0 version of detrex was released in 21/09/2022

New Features

• Support various backbones including: FocalNet, Swin-T, ResNet and other detectron2 builtin backbones.
• Add timm backbones wrapper and torchvision backbones wrapper.
• Support various transformer based detection algorithms including: DETR, Deformable-DETR, Conditional-DETR, DAB-DETR, DN-DETR, DINO.
• Support flexible config system based on Lazy Configs