update

configs/mmaction/video-recognition/video-recognition_torchscript.py

@@ -0,0 +1,7 @@
+_base_ = [
+    '../../_base_/torchscript_config.py',
+    '../../_base_/backends/torchscript.py'
+]
+
+ir_config = dict(input_shape=None)
+codebase_config = dict(type='mmaction', task='VideoRecognition')

docs/en/01-how-to-build/build_from_source.md

@@ -40,6 +40,7 @@ Please visit the following links to find out how to build MMDeploy according to
 
 - [Linux-x86_64](linux-x86_64.md)
 - [Windows](windows.md)
+- [MacOS](macos-arm64.md)
 - [Android-aarch64](android.md)
 - [NVIDIA Jetson](jetsons.md)
 - [SNPE](snpe.md)

docs/en/04-supported-codebases/mmaction2.md

@@ -186,5 +186,7 @@ Besides python API, mmdeploy SDK also provides other FFI (Foreign Function Inter
 
 | Model                                                                                      | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
 | :----------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
-| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn)           |      N      |      Y       |    Y     |  N   |   N   |    N     |
-| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) |      N      |      Y       |    Y     |  N   |   N   |    N     |
+| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [TSM](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsm)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [X3D](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/x3d)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |

docs/en/04-supported-codebases/mmseg.md

@@ -218,7 +218,7 @@ Besides python API, mmdeploy SDK also provides other FFI (Foreign Function Inter
 | [UPerNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/upernet)[\*](#static_shape)      |      N      |      Y      |    Y     |  N   |   N   |    N     |
 | [DANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/danet)                             |      ?      |      Y      |    Y     |  N   |   N   |    Y     |
 | [Segmenter](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segmenter)[\*](#static_shape)  |      N      |      Y      |    Y     |  Y   |   N   |    Y     |
-| [SegFormer](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segformer)[\*](#static_shape)  |      ?      |      Y      |    Y     |  N   |   N   |    Y     |
+| [SegFormer](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segformer)[\*](#static_shape)  |      Y      |      Y      |    Y     |  N   |   N   |    Y     |
 | [SETR](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/setr)                               |      ?      |      Y      |    N     |  N   |   N   |    Y     |
 | [CCNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/ccnet)                             |      ?      |      N      |    N     |  N   |   N   |    N     |
 | [PSANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/psanet)                           |      ?      |      N      |    N     |  N   |   N   |    N     |

docs/zh_cn/01-how-to-build/build_from_source.md

@@ -43,6 +43,7 @@ git clone -b main [email protected]:open-mmlab/mmdeploy.git --recursive
 
 - [Linux-x86_64](linux-x86_64.md)
 - [Windows](windows.md)
+- [MacOS](macos-arm64.md)
 - [Android-aarch64](android.md)
 - [NVIDIA Jetson](jetsons.md)
 - [Qcom SNPE](snpe.md)

docs/zh_cn/04-supported-codebases/mmaction2.md

@@ -189,5 +189,7 @@ for label_id, score in result:
 
 | Model                                                                                      | TorchScript | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO |
 | :----------------------------------------------------------------------------------------- | :---------: | :----------: | :------: | :--: | :---: | :------: |
-| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn)           |      N      |      Y       |    Y     |  N   |   N   |    N     |
-| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) |      N      |      Y       |    Y     |  N   |   N   |    N     |
+| [TSN](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsn)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [SlowFast](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/slowfast) |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [TSM](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/tsm)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |
+| [X3D](https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/x3d)           |      Y      |      Y       |    Y     |  N   |   N   |    N     |

docs/zh_cn/04-supported-codebases/mmseg.md

@@ -222,7 +222,7 @@ cv2.imwrite('output_segmentation.png', img)
 | [UPerNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/upernet)[\*](#static_shape)      |      N      |      Y      |    Y     |  N   |   N   |    N     |
 | [DANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/danet)                             |      ?      |      Y      |    Y     |  N   |   N   |    Y     |
 | [Segmenter](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segmenter)[\*](#static_shape)  |      N      |      Y      |    Y     |  Y   |   N   |    Y     |
-| [SegFormer](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segformer)[\*](#static_shape)  |      ?      |      Y      |    Y     |  N   |   N   |    Y     |
+| [SegFormer](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/segformer)[\*](#static_shape)  |      Y      |      Y      |    Y     |  N   |   N   |    Y     |
 | [SETR](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/setr)                               |      ?      |      Y      |    N     |  N   |   N   |    Y     |
 | [CCNet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/ccnet)                             |      ?      |      N      |    N     |  N   |   N   |    N     |
 | [PSANet](https://github.com/open-mmlab/mmsegmentation/tree/main/configs/psanet)                           |      ?      |      N      |    N     |  N   |   N   |    N     |

tests/regression/mmaction.yml

@@ -19,7 +19,7 @@ globals:
   convert_image: &convert_image
     input_img: *video
     test_img: *video
-  backend_test: &default_backend_test True
+  backend_test: &default_backend_test False
   sdk:
     sdk_dynamic: &sdk_dynamic ""
 
@@ -29,6 +29,12 @@ onnxruntime:
     deploy_config: configs/mmaction/video-recognition/video-recognition_onnxruntime_static.py
     backend_test: *default_backend_test
 
+torchscript:
+  pipeline_torchscript_fp32: &pipeline_torchscript_fp32
+    convert_image: *convert_image
+    deploy_config: configs/mmaction/video-recognition/video-recognition_torchscript.py
+    backend_test: *default_backend_test
+
 tensorrt:
   pipeline_trt_2d_static_fp32: &pipeline_trt_2d_static_fp32
     convert_image: *convert_image
@@ -47,6 +53,7 @@ models:
     pipelines:
       - *pipeline_ort_static_fp32
       - *pipeline_trt_2d_static_fp32
+      - *pipeline_torchscript_fp32
 
   - name: SlowFast
     metafile: configs/recognition/slowfast/metafile.yml
@@ -55,3 +62,20 @@ models:
     pipelines:
       - *pipeline_ort_static_fp32
       - *pipeline_trt_3d_static_fp32
+      - *pipeline_torchscript_fp32
+
+  - name: TSM
+    metafile: configs/recognition/tsm/metafile.yml
+    model_configs:
+      - configs/recognition/tsm/tsm_imagenet-pretrained-mobilenetv2_8xb16-1x1x8-100e_kinetics400-rgb.py
+    pipelines:
+      - *pipeline_ort_static_fp32
+      - *pipeline_torchscript_fp32
+
+  - name: X3D
+    metafile: configs/recognition/x3d/metafile.yml
+    model_configs:
+      - configs/recognition/x3d/x3d_m_16x5x1_facebook-kinetics400-rgb.py
+    pipelines:
+      - *pipeline_ort_static_fp32
+      - *pipeline_torchscript_fp32

tests/regression/mmdet.yml

@@ -361,3 +361,13 @@ models:
     pipelines:
       - *pipeline_seg_ort_dynamic_fp32
       - *pipeline_seg_openvino_dynamic_fp32
+
+  - name: RTMDetInst
+    metafile: configs/rtmdet/metafile.yml
+    model_configs:
+      - configs/rtmdet/rtmdet-ins_tiny_8xb32-300e_coco.py
+    pipelines:
+      - *pipeline_seg_ts_fp32
+      - *pipeline_seg_ort_dynamic_fp32
+      - *pipeline_seg_trt_dynamic_fp32
+      - *pipeline_seg_openvino_dynamic_fp32

tests/regression/mmseg.yml

@@ -372,3 +372,12 @@ models:
       - *pipeline_trt_static_fp32_512x512
       - *pipeline_openvino_static_fp32_512x512
       - *pipeline_ncnn_static_fp32
+  - name: SegFormer
+    metafile: configs/segformer/metafile.yaml
+    model_configs:
+      - configs/segformer/segformer_mit-b0_8xb1-160k_cityscapes-1024x1024.py
+    pipelines:
+      - *pipeline_ts_fp32
+      - *pipeline_ort_static_fp32
+      - *pipeline_trt_static_fp32
+      - *pipeline_openvino_static_fp32