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mmdeploy/docs/en/codebases/mmseg.md
RunningLeon 0556feec79
Replace convert_syncbatchnorm in mmseg (#93) 
* replace convert_syncbatchnorm with revert_sync_batchnorm from mmcv

* change logger
2022-01-26 11:07:28 +08:00

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MMSegmentation Support

MMSegmentation is an open source object segmentation toolbox based on PyTorch. It is a part of the OpenMMLab project.

MMSegmentation installation tutorial

Please refer to get_started.md for installation.

List of MMSegmentation models supported by MMDeploy

Model OnnxRuntime TensorRT NCNN PPLNN OpenVino Model config
FCN Y Y Y Y Y config
PSPNet* Y Y Y Y Y config
DeepLabV3 Y Y Y Y Y config
DeepLabV3+ Y Y Y Y Y config
Fast-SCNN* Y Y N Y Y config
UNet* Y Y Y Y Y config

Reminder

  • Only whole inference mode is supported for all mmseg models.

  • PSPNet, Fast-SCNN only support static shape, because nn.AdaptiveAvgPool2d is not supported in most of backends dynamically.

  • For models only supporting static shape, you should use the deployment config file of static shape such as configs/mmseg/segmentation_tensorrt_static-1024x2048.py.

FAQs

None