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58 lines
6.9 KiB
Markdown
58 lines
6.9 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/en/get_started.md#installation) 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 |
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|:----------------------------|:-----------:|:--------:|:----:|:-----:|:--------:|:----------------------------------------------------------------------------------------:|
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| FCN | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/fcn) |
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| PSPNet[*](#static_shape) | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/pspnet) |
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| DeepLabV3 | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/deeplabv3) |
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| DeepLabV3+ | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/deeplabv3plus) |
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| Fast-SCNN[*](#static_shape) | Y | Y | N | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/fastscnn) |
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| UNet | Y | Y | Y | Y | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/unet) |
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| ANN[*](#static_shape) | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/ann) |
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| APCNet | Y | Y | Y | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/apcnet) |
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| BiSeNetV1 | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/bisenetv1) |
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| BiSeNetV2 | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/bisenetv2) |
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| CGNet | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/cgnet) |
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| DMNet | Y | N | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/dmnet) |
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| DNLNet | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/dnlnet) |
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| EMANet | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/emanet) |
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| EncNet | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/encnet) |
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| ERFNet | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/erfnet) |
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| FastFCN | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/fastfcn) |
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| GCNet | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/gcnet) |
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| ICNet[*](#static_shape) | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/icnet) |
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| ISANet | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/isanet) |
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| NonLocal Net | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/nonlocal_net) |
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| OCRNet | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/ocrnet) |
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| PointRend | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/point_rend) |
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| Semantic FPN | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/sem_fpn) |
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| STDC | Y | Y | Y | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/stdc) |
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| UPerNet[*](#static_shape) | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/upernet) |
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| DANet | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/danet) |
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| Segmenter[*](#static_shape) | Y | Y | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/segmenter) |
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| SegFormer[*](#static_shape) | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/segformer) |
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| SETR | Y | N | N | N | Y | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/setr) |
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| CCNet | N | N | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/ccnet) |
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| PSANet | N | N | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/psanet) |
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| DPT | N | N | N | N | N | [config](https://github.com/open-mmlab/mmsegmentation/tree/master/configs/dpt) |
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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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