imagemmposemapper
February 4, 2026 · View on GitHub
Mapper to perform human keypoint detection inference using MMPose models. It requires three essential components for model initialization:
- deploy_cfg (str): Path to the deployment configuration file (defines inference settings)
- model_cfg (str): Path to the model configuration file (specifies model architecture)
- model_files (List[str]): Model weight files including pre-trained weights and parameters
The implementation follows the official MMPose deployment guidelines from MMDeploy. For detailed configuration requirements and usage examples, refer to: https://github.com/open-mmlab/mmdeploy/blob/main/docs/en/04-supported-codebases/mmpose.md
用于使用 MMPose 模型执行人体关键点检测推理的 Mapper。模型初始化需要三个核心组件：
- deploy_cfg (str)：部署配置文件路径（定义推理设置）
- model_cfg (str)：模型配置文件路径（指定模型架构）
- model_files (List[str])：模型权重文件，包括预训练权重和参数
该实现遵循 MMDeploy 官方提供的 MMPose 部署指南。有关详细配置要求和使用示例，请参阅：https://github.com/open-mmlab/mmdeploy/blob/main/docs/en/04-supported-codebases/mmpose.md
Type 算子类型: mapper
Tags 标签: gpu, image
🔧 Parameter Configuration 参数配置
| name 参数名 | type 类型 | default 默认值 | desc 说明 |
|---|---|---|---|
deploy_cfg | <class 'str'> | None | MMPose deployment config file. |
model_cfg | <class 'str'> | None | MMPose model config file. |
model_files | typing.Union[str, typing.Sequence[str], NoneType] | None | Path to the model weight files. |
pose_key | <class 'str'> | 'pose_info' | Key to store pose information. |
visualization_dir | <class 'str'> | None | Directory to save visualization results. |
args | '' | extra args | |
kwargs | '' | extra args |