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# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# 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.
"""Tests for iou_similarity.py."""
import tensorflow as tf, tf_keras
from official.vision.ops import iou_similarity
class BoxMatcherTest(tf.test.TestCase):
def test_similarity_unbatched(self):
boxes = tf.constant(
[
[0, 0, 1, 1],
[5, 0, 10, 5],
],
dtype=tf.float32)
gt_boxes = tf.constant(
[
[0, 0, 5, 5],
[0, 5, 5, 10],
[5, 0, 10, 5],
[5, 5, 10, 10],
],
dtype=tf.float32)
sim_calc = iou_similarity.IouSimilarity()
sim_matrix = sim_calc(boxes, gt_boxes)
self.assertAllClose(
sim_matrix.numpy(),
[[0.04, 0, 0, 0],
[0, 0, 1., 0]])
def test_similarity_batched(self):
boxes = tf.constant(
[[
[0, 0, 1, 1],
[5, 0, 10, 5],
]],
dtype=tf.float32)
gt_boxes = tf.constant(
[[
[0, 0, 5, 5],
[0, 5, 5, 10],
[5, 0, 10, 5],
[5, 5, 10, 10],
]],
dtype=tf.float32)
sim_calc = iou_similarity.IouSimilarity()
sim_matrix = sim_calc(boxes, gt_boxes)
self.assertAllClose(
sim_matrix.numpy(),
[[[0.04, 0, 0, 0],
[0, 0, 1., 0]]])
if __name__ == '__main__':
tf.test.main()
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