Support the deployment of video recognition algorithm SlowOnly on TensorRT backend 支持视频识别模型SlowOnly在TensorRT侧的部署

[OpenMMLab-Assistant-004]

Support the deployment of video recognition algorithm SlowOnly on TensorRT backend

支持视频识别模型SlowOnly在TensorRT侧的部署

Support the deployment of SlowOnly algorithm from mmaction2 onTensorRT.
You can refer to the following resources:

1. SlowOnly](https://github.com/open-mmlab/mmaction2/blob/main/configs/detection/slowonly/slowonly_k700-pre-r50_8xb8-8x8x1-10e_ava-kinetics-rgb.py))
2. MMAction2 Deployment](https://mmdeploy.readthedocs.io/en/latest/04-supported-codebases/mmaction2.html))
3. Deployment Tutorials

在mmdeploy中支持视频识别算法SlowOnly在TensorRT侧部署
相关资源：

1. SlowOnly](https://github.com/open-mmlab/mmaction2/blob/main/configs/detection/slowonly/slowonly_k700-pre-r50_8xb8-8x8x1-10e_ava-kinetics-rgb.py))
2. MMAction2部署](https://mmdeploy.readthedocs.io/en/latest/04-supported-codebases/mmaction2.html))
3. 模型部署教程

Task Information

Repository：MMDeploy

Difficulty：Medium

Points：45

Estimated Time Consumption：28 days

Task Status

Claimant's Github ID：ZelinMa557

Claim Time：2023年10月26日

PR Link：None

Points to Note

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[ZelinMa557]

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