TopDownPoseEstimatorNode¶
- class mmpose.apis.webcam.nodes.TopDownPoseEstimatorNode(name: str, model_config: str, model_checkpoint: str, input_buffer: str, output_buffer: Union[str, List[str]], enable_key: Optional[Union[str, int]] = None, enable: bool = True, device: str = 'cuda:0', class_ids: Optional[List[int]] = None, labels: Optional[List[str]] = None, bbox_thr: float = 0.5, smooth: bool = False, smooth_filter_cfg: str = 'configs/_base_/filters/one_euro.py')[source]¶
Perform top-down pose estimation using MMPose model.
The node should be placed after an object detection node.
- Parameters
name (str) – The node name (also thread name)
model_cfg (str) – The model config file
model_checkpoint (str) – The model checkpoint file
input_buffer (str) – The name of the input buffer
output_buffer (str|list) – The name(s) of the output buffer(s)
enable_key (str|int, optional) – Set a hot-key to toggle enable/disable of the node. If an int value is given, it will be treated as an ascii code of a key. Please note: (1) If
enable_key
is set, thebypass()
method need to be overridden to define the node behavior when disabled; (2) Some hot-keys are reserved for particular use. For example: ‘q’, ‘Q’ and 27 are used for exiting. Default:None
enable (bool) – Default enable/disable status. Default:
True
device (str) – Specify the device to hold model weights and inference the model. Default:
'cuda:0'
class_ids (list[int], optional) – Specify the object category indices to apply pose estimation. If both
class_ids
andlabels
are given,labels
will be ignored. If neither is given, pose estimation will be applied for all objects. Default:None
labels (list[str], optional) – Specify the object category names to apply pose estimation. See also
class_ids
. Default:None
bbox_thr (float) – Set a threshold to filter out objects with low bbox scores. Default: 0.5
smooth (bool) – If set to
True
, aSmoother
will be used to refine the pose estimation result. Default:True
smooth_filter_cfg (str) – The filter config path to build the smoother. Only valid when
smooth==True
. By default, OneEuro filter will be used.
- Example::
>>> cfg = dict( ... type='TopDownPoseEstimatorNode', ... name='human pose estimator', ... model_config='configs/wholebody/2d_kpt_sview_rgb_img/' ... 'topdown_heatmap/coco-wholebody/' ... 'vipnas_mbv3_coco_wholebody_256x192_dark.py', ... model_checkpoint='https://download.openmmlab.com/mmpose/' ... 'top_down/vipnas/vipnas_mbv3_coco_wholebody_256x192_dark' ... '-e2158108_20211205.pth', ... labels=['person'], ... smooth=True, ... input_buffer='det_result', ... output_buffer='human_pose')
>>> from mmpose.apis.webcam.nodes import NODES >>> node = NODES.build(cfg)
- bypass(input_msgs)[source]¶
The method that defines the node behavior when disabled.
Note that a node must override this method if it has enable_key. This method has the same signature as
process()
.- Parameters
input_msgs (dict[str,
Message
]) – The input data collected from the buffers. For each item, the key is the input_name of the registered input buffer, and the value is a Message instance fetched from the buffer (or None if the buffer is non-trigger and not ready).- Returns
The output message of the node which will be send to all registered output buffers.
- Return type
- process(input_msgs)[source]¶
The method that implements the function of the node.
This method will be invoked when the node is enabled and the input data is ready. All subclasses of Node should override this method.
- Parameters
input_msgs (dict[str,
Message
]) – The input data collected from the buffers. For each item, the key is the input_name of the registered input buffer, and the value is a Message instance fetched from the buffer (or None if the buffer is non-trigger and not ready).- Returns
The output message of the node which will be send to all registered output buffers.
- Return type