# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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"""
Draws bounding boxes over detected objects.
"""
from typing import Any, Dict
from peekingduck.pipeline.nodes.abstract_node import AbstractNode
from peekingduck.pipeline.nodes.draw.utils.bbox import draw_bboxes
[docs]class Node(AbstractNode):
"""Draws bounding boxes on image.
The :mod:`draw.bbox` node uses :term:`bboxes` and, optionally,
:term:`bbox_labels` from the model predictions to draw the bbox predictions
onto the image.
Inputs:
|img_data|
|bboxes_data|
|bbox_labels_data|
Outputs:
|none_output_data|
Configs:
show_labels (:obj:`bool`): **default = False**. |br|
If ``True``, shows class label, e.g., "person", above the bounding
box.
"""
def __init__(self, config: Dict[str, Any] = None, **kwargs: Any) -> None:
super().__init__(config, node_path=__name__, **kwargs)
def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
draw_bboxes(
inputs["img"], inputs["bboxes"], inputs["bbox_labels"], self.show_labels
)
return {}
def _get_config_types(self) -> Dict[str, Any]:
"""Returns dictionary mapping the node's config keys to respective types."""
return {"show_labels": bool}