32 lines
1.7 KiB
Markdown
32 lines
1.7 KiB
Markdown
|
# mmpose 模型支持列表
|
||
|
|
|
||
|
|
[mmpose](https://github.com/open-mmlab/mmpose) 是一个基于 PyTorch 的姿态估计的开源工具箱，也是 [OpenMMLab](https://openmmlab.com/) 项目的一部分。
|
||
|
|
|
||
|
|
## 安装 mmpose
|
||
|
|
|
||
|
|
参照 [official installation guide](https://mmpose.readthedocs.io/en/latest/install.html)。
|
||
|
|
|
||
|
|
## 支持列表
|
||
|
|
|
||
|
|
| Model | Task | ONNX Runtime | TensorRT | ncnn | PPLNN | OpenVINO | Model config |
|
||
|
|
| :-------- | :------------ | :----------: | :------: | :--: | :---: | :------: | :-----------------------------------------------------------------------------------------: |
|
||
|
|
| HRNet | PoseDetection | Y | Y | Y | N | Y | [config](https://mmpose.readthedocs.io/en/latest/papers/backbones.html#hrnet-cvpr-2019) |
|
||
|
|
| MSPN | PoseDetection | Y | Y | Y | N | Y | [config](https://mmpose.readthedocs.io/en/latest/papers/backbones.html#mspn-arxiv-2019) |
|
||
|
|
| LiteHRNet | PoseDetection | Y | Y | Y | N | Y | [config](https://mmpose.readthedocs.io/en/latest/papers/backbones.html#litehrnet-cvpr-2021) |
|
||
|
|
|
||
|
|
### 使用方法
|
||
|
|
|
||
|
|
```bash
|
||
|
|
python tools/deploy.py \
|
||
|
|
configs/mmpose/posedetection_tensorrt_static-256x192.py \
|
||
|
|
$MMPOSE_DIR/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hrnet_w48_coco_256x192.py \
|
||
|
|
$MMPOSE_DIR/checkpoints/hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth \
|
||
|
|
$MMDEPLOY_DIR/demo/resources/human-pose.jpg \
|
||
|
|
--work-dir work-dirs/mmpose/topdown/hrnet/trt \
|
||
|
|
--device cuda
|
||
|
|
```
|
||
|
|
|
||
|
|
注意事项
|
||
|
|
|
||
|
|
- mmpose 模型需要额外的输入，但我们无法直接获取它。在导出模型时，可以使用 `$MMDEPLOY_DIR/demo/resources/human-pose.jpg` 作为输入。
|