新特性

问题修复

CVPR 2021 AutoNUE Semantic Segmentation Track Technical Report is open sourced!
An ultra-lightweight portrait segmentation model named PPSeg is open sourced, which is training based on large-scale portrait data and suitable for video conference
We provide interactive segmentation application scenarios, based on the seed-based SOTA model RITM and also provide weights training on portrait and COCO+LVIS.
A newly released interactive segmentation tool EISeg can be used to quickly label data
Added the popular model PortraitNet in the field of portrait segmentation, and added the Transformer series SOTA model SwinTransformer
We optimize the post-processing logic of model prediction to improve model prediction accuracy

#1123 Fix the problem of insufficient memory during model pruning
#1100 Fix the problem that the weighted CrossEntropyLoss cannot converge during training
#1082 Fix the problem that the model pruning script fails to run
#1081 Fix the problem that the save path of the prediction script under Windows system is incorrect
#1078 Fix an issue where the DataLoader did not set work_init_fn when training the model in multi-card, which caused the same random seed to be used in multiple processes
#34c1bbf/#30860e Fix the problem that DecoupledSegNet and SFNet cannot be successfully exported

Thank you very much yazheng0307 for organizing the documents #1075
Thank you very much parap1uie-s for submitting the repair code #1078
Thank you very much AlwaysGemini for submitting the repair code #1081/#1082
Thank you very much txyugood for contributing the PortraitNet model
Thank you very much geoyee/linhandev for contributing the interactive segmentation tool EISeg