# Copyright 2024 Big Vision Authors. | |
# | |
# 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 | |
# | |
# http://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 | |
# limitations under the License. | |
"""Widgetcap pp ops.""" | |
from big_vision.pp.registry import Registry | |
import tensorflow as tf | |
def get_draw_bbox(image_key="image", bbox_key="bbox"): | |
"""Draw a single bounding box.""" | |
def _draw_bbox(data): | |
"""Draw a single bounding box.""" | |
image = tf.cast(data[image_key], tf.float32) | |
image = tf.image.draw_bounding_boxes( | |
tf.expand_dims(image, 0), | |
tf.reshape(data[bbox_key], [1, 1, 4]), | |
tf.constant([255, 0, 0], dtype=tf.float32, shape=[1, 3]), | |
) | |
data[image_key] = tf.squeeze(image) | |
return data | |
return _draw_bbox | |