Bug Fixes

• Fix detection pipeline error when detection output is None (#351)

Bug Fixes

• Fix import Sequence from collections for python compatibility. (#333)

New Features

• Support export onnx model for yolox. (#330)

Bug Fixes

• Fix timm version compatibility. (#331)

Bug Fixes

• Fix numpy high version compatibility (#327)

Bug Fixes

• Fix numpy high version compatibility (#325)

Bug Fixes

• Fix sklearn requirement (#317)

Bug Fixes

• Fix modelscope setuptools version conflict (#314)

New Features

• Support EasyCV as a plug-in for modelscope. (#303)

Highlights

• Support STDC, STGCN, ReID and Multi-len MOT.
• Support multi processes for predictor data preprocessing. For the model with more time consuming in data preprocessing, the speedup can reach more than 50%.

New Features

• Support multi processes for predictor data preprocessing. (#272)
• Support STDC model. (#284) (#286)
• Support ReID and Multi-len MOT. (#285) (#295)
• Support STGCN model, and support export blade model. (#293) (#299)
• Add pose model zoo and support export torch jit and blade model for pose models. (#294)
• Support train motchallenge and crowdhuman datasets for detection models. (#265)

Improvements

• Speed up inference for face detector when using mtcnn. (#273)
• Add mobilenet config for itag and imagenet dataset, and optimize ClsSourceImageList api to support string label. (#276) (#283)
• Support multi-rows replacement for first order parameter. (#282)
• Add a tool to convert itag dataset to raw dataset. (#290)
• Add PoseTopDownPredictor to replace TorchPoseTopDownPredictorWithDetector (#296)

Bug Fixes

• Remove git lfs dependencies. (#278)
• Fix wholebody keypoints evaluation. (#287)
• Fix DetSourceRaw while label file and image file not match. (#289)

Highlights

• Support Single-lens MOT (#258)
• Support video recognition (X3D, SWIN-video) (#256)

New Features

• Add inception config and voc config for FCN and UperNet (#261)
• Add inference time under V100 for the benchmark of deitiii and hydra attention (#251)
• Add bev-blancehybrid benchmark (#249)

Improvements

• Optimize data source apis (#254)
• Update predict.py to support input model directory (#252)

Bug Fixes

• Fix MAE arg error after timm upgrade (#255)
• Fix export SSL models bug, avoid loading default pretrained backbone model (#257)
• Fix bug can't find config files while easycv is installed (#253)