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* checkout qq group qrcode * update the cover image * update build doc * reorganize chapters * update readme * remove index of build on different platforms in readthedocs * update benchmark * update get started document in Chinese based on the prebuild package * update get_started * re-style benchmark * update get_started in zh_cn * update get_started in english * update get_started in english * update get_started in english * update get_started doc * update according to reviewer comments * update linker ci * fix(.github/scripts/check_doc_linker.py): skip code block * specify PYTHONPATH * update get_started * update diagram * rename some documents * fix according to reviewer comments Co-authored-by: tpoisonooo <khj.application@aliyun.com>
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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 | Y | 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 | N | N | N | 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.