mmdeploy/docs/codebases/mmseg.md

## MMSegmentation Support

MMSegmentation is an open source object segmentation toolbox based on PyTorch. It is a part of the [OpenMMLab](https://openmmlab.com/) project.

### MMSegmentation installation tutorial

Please refer to [get_started.md](https://github.com/open-mmlab/mmsegmentation/blob/master/docs/get_started.md) for installation.

### List of MMSegmentation models supported by MMDeploy

| model                         | OnnxRuntime | TensorRT | NCNN | PPLNN | OpenVino | model config file(example)                                                         |
|:------------------------------|:-----------:|:--------:|:----:|:---:|:--------:|:-----------------------------------------------------------------------------------|
| FCN                           |      Y      |    Y     |  Y   |  Y  |    ?     | ${MMSEG_DIR}/configs/fcn/fcn_r50-d8_512x1024_40k_cityscapes.py                     |
| PSPNet[*](#pspnet)            |      Y      |    Y     |  N   |  Y  |    ?     | ${MMSEG_DIR}/configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py               |
| DeepLabV3                     |      Y      |    Y     |  Y   |  Y  |    ?     | ${MMSEG_DIR}/configs/deeplabv3/deeplabv3_r50-d8_512x1024_40k_cityscapes.py         |
| DeepLabV3+                    |      Y      |    Y     |  Y   |  Y  |    ?     | ${MMSEG_DIR}/configs/deeplabv3plus/deeplabv3plus_r50-d8_512x1024_40k_cityscapes.py |

### Reminder

- Only `whole` inference mode is supported for all mmseg models.

- <i id="pspnet">PSPNet</i> only supports static shape, better to use the deployment config file of static shape such as `configs/mmseg/segmentation_tensorrt_static-512x1024.py`. Because [nn.AdaptiveAvgPool2d](https://github.com/open-mmlab/mmsegmentation/blob/97f9670c5a4a2a3b4cfb411bcc26db16b23745f7/mmseg/models/decode_heads/psp_head.py#L38) in psp_head is not supported in most of backends dynamically.

### FAQs

None