Spaces:
Runtime error
Runtime error
File size: 2,438 Bytes
5672777 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
# 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 box_matcher.py."""
import tensorflow as tf, tf_keras
from official.vision.ops import box_matcher
class BoxMatcherTest(tf.test.TestCase):
def test_box_matcher_unbatched(self):
sim_matrix = tf.constant(
[[0.04, 0, 0, 0],
[0, 0, 1., 0]],
dtype=tf.float32)
fg_threshold = 0.5
bg_thresh_hi = 0.2
bg_thresh_lo = 0.0
matcher = box_matcher.BoxMatcher(
thresholds=[bg_thresh_lo, bg_thresh_hi, fg_threshold],
indicators=[-3, -2, -1, 1])
match_indices, match_indicators = matcher(sim_matrix)
positive_matches = tf.greater_equal(match_indicators, 0)
negative_matches = tf.equal(match_indicators, -2)
self.assertAllEqual(
positive_matches.numpy(), [False, True])
self.assertAllEqual(
negative_matches.numpy(), [True, False])
self.assertAllEqual(
match_indices.numpy(), [0, 2])
self.assertAllEqual(
match_indicators.numpy(), [-2, 1])
def test_box_matcher_batched(self):
sim_matrix = tf.constant(
[[[0.04, 0, 0, 0],
[0, 0, 1., 0]]],
dtype=tf.float32)
fg_threshold = 0.5
bg_thresh_hi = 0.2
bg_thresh_lo = 0.0
matcher = box_matcher.BoxMatcher(
thresholds=[bg_thresh_lo, bg_thresh_hi, fg_threshold],
indicators=[-3, -2, -1, 1])
match_indices, match_indicators = matcher(sim_matrix)
positive_matches = tf.greater_equal(match_indicators, 0)
negative_matches = tf.equal(match_indicators, -2)
self.assertAllEqual(
positive_matches.numpy(), [[False, True]])
self.assertAllEqual(
negative_matches.numpy(), [[True, False]])
self.assertAllEqual(
match_indices.numpy(), [[0, 2]])
self.assertAllEqual(
match_indicators.numpy(), [[-2, 1]])
if __name__ == '__main__':
tf.test.main()
|