30 lines
2.1 KiB
Markdown
30 lines
2.1 KiB
Markdown
## MMSegmentation Support
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MMSegmentation is an open source object segmentation toolbox based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project.
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### MMSegmentation installation tutorial
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Please refer to [get_started.md](https://github.com/open-mmlab/mmsegmentation/blob/master/docs/get_started.md) for installation.
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### List of MMSegmentation models supported by MMDeploy
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| model | OnnxRuntime | TensorRT | NCNN | PPLNN | OpenVino | model config file(example) |
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|:----------------------------|:-----------:|:--------:|:----:|:-----:|:--------:|:-----------------------------------------------------------------------------------|
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| FCN | Y | Y | Y | Y | Y | ${MMSEG_DIR}/configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py |
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| PSPNet[*](#static_shape) | Y | Y | Y | Y | Y | ${MMSEG_DIR}/configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py |
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| DeepLabV3 | Y | Y | Y | Y | Y | ${MMSEG_DIR}/configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py |
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| DeepLabV3+ | Y | Y | Y | Y | Y | ${MMSEG_DIR}/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py |
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| Fast-SCNN[*](#static_shape) | Y | Y | N | Y | Y | ${MMSEG_DIR}/configs/fastscnn/fast_scnn_lr0.12_8x4_160k_cityscapes.py |
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### Reminder
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- Only `whole` inference mode is supported for all mmseg models.
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- <i id="static_shape">PSPNet, Fast-SCNN</i> only support static shape, because [nn.AdaptiveAvgPool2d](https://github.com/open-mmlab/mmsegmentation/blob/97f9670c5a4a2a3b4cfb411bcc26db16b23745f7/mmseg/models/decode_heads/psp_head.py#L38) is not supported in most of backends dynamically.
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- 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`.
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### FAQs
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None
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