## 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/en/get_started.md#installation) for installation. ### List of MMSegmentation models supported by MMDeploy | Model | OnnxRuntime | TensorRT | NCNN | PPLNN | OpenVino | Model config | |:----------------------------|:-----------:|:--------:|:----:|:-----:|:--------:|:----------------------------------------------------------------------------------------:| | FCN | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/fcn) | | PSPNet[*](#static_shape) | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/pspnet) | | DeepLabV3 | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/deeplabv3) | | DeepLabV3+ | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/deeplabv3plus) | | Fast-SCNN[*](#static_shape) | Y | Y | N | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/fastscnn) | | UNet[*](#static_shape) | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/unet) | ### Reminder - Only `whole` inference mode is supported for all mmseg models. - PSPNet, Fast-SCNN 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. - 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