MMDeploy Release V0.4.0

Features

• Support MMPose model inference in SDK: HRNet, LiteHRNet and MSPN
• Support MMDetection3D: PointPillars and CenterPoint(pillar)
• Support Andoid platform so as to benefit the development of android apps
• Support fcn_unet deployment with dynamic shape
• Support TorchScript

Improvements

• Optimize TRTMultiLevelRoiAlign plugin
• Remove RoiAlign plugin for ONNXRuntime
• Add DCN TensorRT plugin
• Update pad logic in detection heads
• Refactor the rewriter module of Model Converter
• Suppress CMAKE_CUDA_ARCHITECTURES warnings
• Update cmake scripts to ensure that the thirdparty packages are relocatable

Bug fixes

• Fix the crash on the headless installation
• Correct the deployment configs for MMSegmentation
• Optimize prepocess module and fix the potential use-after-free issue
• Resolve the compatibility with torch 1.11
• Fix the errors when deploying yolox model
• Fix the errors occurred during docker build

Documents

• Reorganize the build documents. Add more details about how to build MMDeploy on Linx, Windows and Android platforms
• Publish two chapters about the knowledge of model deployment
• Update the supported model list, including MMSegmentation，MMPose and MMDetection3D
• Translate the tutorial of "How to support new backends" into Chinese
• Update the FAQ

Contributors

@irexyc @lvhan028 @RunningLeon @hanrui1sensetime @AllentDan @grimoire @lzhangzz @SemyonBevzuk @VVsssssk @SingleZombie @raykindle @yydc-0 @haofanwang @LJoson @PeterH0323