# Copyright 2022 AI Singapore
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
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"""
Draws keypoints on a detected pose.
"""
from typing import Any, Dict
from peekingduck.pipeline.nodes.draw.utils.pose import draw_human_poses
from peekingduck.pipeline.nodes.abstract_node import AbstractNode
[docs]class Node(AbstractNode):
"""Draws poses onto image.
The :mod:`draw.poses` node uses the :term:`keypoints`,
:term:`keypoint_scores`, and :term:`keypoint_conns` predictions from pose
models to draw the human poses onto the image. For better understanding,
check out the pose models such as :mod:`HRNet <model.hrnet>` and
:mod:`PoseNet <model.posenet>`.
Inputs:
|img_data|
|keypoints_data|
|keypoint_scores_data|
|keypoint_conns_data|
Outputs:
|none_output_data|
Configs:
None.
"""
def __init__(self, config: Dict[str, Any] = None, **kwargs: Any) -> None:
super().__init__(config, node_path=__name__, **kwargs)
self.keypoint_dot_color = tuple(self.config["keypoint_dot_color"])
self.keypoint_connect_color = tuple(self.config["keypoint_connect_color"])
self.keypoint_text_color = tuple(self.config["keypoint_text_color"])
def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
"""Draws pose details onto input image.
Args:
inputs (dict): Dictionary with keys "img", "keypoints", and
"keypoint_conns".
"""
draw_human_poses(inputs["img"], inputs["keypoints"], inputs["keypoint_conns"])
return {}