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fix typo and add link to README.md (#1411)

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Chen Xin 2022-11-24 12:00:17 +08:00 committed by GitHub
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README.md
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@ -50,6 +50,7 @@ The currently supported codebases and models are as follows, and more will be in
- [mmpose](docs/en/04-supported-codebases/mmpose.md)
- [mmdet3d](docs/en/04-supported-codebases/mmdet3d.md)
- [mmrotate](docs/en/04-supported-codebases/mmrotate.md)
- [mmaction2](docs/en/04-supported-codebases/mmaction2.md)
### Multiple inference backends are available

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README_zh-CN.md
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@ -50,6 +50,7 @@ MMDeploy 是 [OpenMMLab](https://openmmlab.com/) 模型部署工具箱，**为
- [mmpose](docs/zh_cn/04-supported-codebases/mmpose.md)
- [mmdet3d](docs/zh_cn/04-supported-codebases/mmdet3d.md)
- [mmrotate](docs/zh_cn/04-supported-codebases/mmrotate.md)
- [mmaction2](docs/zh_cn/04-supported-codebases/mmaction2.md)
### 支持多种推理后端

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docs/en/04-supported-codebases/mmaction2.md
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@ -21,7 +21,7 @@ ______________________________________________________________________
### Install mmaction2
Please follow the [installation guide](https://github.com/open-mmlab/mmaction2/tree/dev-1.x#installation) to install mmocr.
Please follow the [installation guide](https://github.com/open-mmlab/mmaction2/tree/dev-1.x#installation) to install mmaction2.
### Install mmdeploy
@ -50,9 +50,9 @@ If neither **I** nor **II** meets your requirements, [building mmdeploy from sou
## Convert model
You can use [tools/deploy.py](https://github.com/open-mmlab/mmdeploy/blob/dev-1.x/tools/deploy.py) to convert mmocr models to the specified backend models. Its detailed usage can be learned from [here](https://github.com/open-mmlab/mmdeploy/blob/master/docs/en/02-how-to-run/convert_model.md#usage).
You can use [tools/deploy.py](https://github.com/open-mmlab/mmdeploy/blob/dev-1.x/tools/deploy.py) to convert mmaction2 models to the specified backend models. Its detailed usage can be learned from [here](https://github.com/open-mmlab/mmdeploy/blob/master/docs/en/02-how-to-run/convert_model.md#usage).
When using `tools/deploy.py`, it is crucial to specify the correct deployment config. We've already provided builtin deployment config [files](https://github.com/open-mmlab/mmdeploy/tree/dev-1.x/configs/mmaction) of all supported backends for mmocr, under which the config file path follows the pattern:
When using `tools/deploy.py`, it is crucial to specify the correct deployment config. We've already provided builtin deployment config [files](https://github.com/open-mmlab/mmdeploy/tree/dev-1.x/configs/mmaction) of all supported backends for mmaction2, under which the config file path follows the pattern:
```
{task}/{task}_{backend}-{precision}_{static | dynamic}_{shape}.py
@ -108,7 +108,7 @@ in which,
- **end2end.onnx**: backend model which can be inferred by ONNX Runtime
- \***.json**: the necessary information for mmdeploy SDK
The whole package **mmdeploy_models/mmocr/dbnet/ort** is defined as **mmdeploy SDK model**, i.e., **mmdeploy SDK model** includes both backend model and inference meta information.
The whole package **mmdeploy_models/mmaction/tsn/ort** is defined as **mmdeploy SDK model**, i.e., **mmdeploy SDK model** includes both backend model and inference meta information.
## Model Inference