image_mmpose_mapper#

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: open-mmlab/mmdeploy

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：open-mmlab/mmdeploy

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