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 |
| ANN* | Y | Y | N | N | N | config |
| APCNet | Y | Y | Y | N | N | config |
| BiSeNetV1 | Y | Y | Y | N | Y | config |
| BiSeNetV2 | Y | Y | Y | N | Y | config |
| CGNet | Y | Y | Y | N | Y | config |
| DMNet | Y | N | N | N | N | config |
| DNLNet | Y | Y | Y | N | Y | config |
| EMANet | Y | Y | N | N | Y | config |
| EncNet | Y | Y | N | N | Y | config |
| ERFNet | Y | Y | Y | N | Y | config |
| FastFCN | Y | Y | Y | N | Y | config |
| GCNet | Y | Y | N | N | N | config |
| ICNet* | Y | Y | N | N | Y | config |
| ISANet* | Y | Y | N | N | Y | config |
| NonLocal Net | Y | Y | Y | N | Y | config |
| OCRNet | Y | Y | Y | N | Y | config |
| PointRend* | Y | Y | N | N | N | config |
| Semantic FPN | Y | Y | Y | N | Y | config |
| STDC | Y | Y | Y | N | Y | config |
| UPerNet* | Y | Y | N | N | N | config |
| DANet | Y | Y | N | N | Y | config |
| Segmenter* | Y | Y | Y | N | Y | config |
| SegFormer* | Y | Y | N | N | Y | config |
| SETR | Y | N | N | N | Y | config |
| CCNet | N | N | N | N | N | config |
| PSANet | N | N | N | N | N | config |
| DPT | N | N | N | N | N | config |
Reminder¶
Only
wholeinference 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.For users prefer deployed models generate probability feature map, put
codebase_config = dict(with_argmax=False)in deploy configs.