File size: 3,507 Bytes
9a393e2 |
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 80 81 82 83 84 85 86 87 88 89 |
# Copyright 2017 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 object_detection.np_mask_ops."""
import numpy as np
import tensorflow as tf
from object_detection.utils import np_mask_ops
class MaskOpsTests(tf.test.TestCase):
def setUp(self):
masks1_0 = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0]],
dtype=np.uint8)
masks1_1 = np.array([[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
dtype=np.uint8)
masks1 = np.stack([masks1_0, masks1_1])
masks2_0 = np.array([[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0],
[1, 1, 1, 1, 0, 0, 0, 0]],
dtype=np.uint8)
masks2_1 = np.array([[1, 1, 1, 1, 1, 1, 1, 0],
[1, 1, 1, 1, 1, 0, 0, 0],
[1, 1, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0]],
dtype=np.uint8)
masks2_2 = np.array([[1, 1, 1, 1, 1, 0, 0, 0],
[1, 1, 1, 1, 1, 0, 0, 0],
[1, 1, 1, 1, 1, 0, 0, 0],
[1, 1, 1, 1, 1, 0, 0, 0],
[1, 1, 1, 1, 1, 0, 0, 0]],
dtype=np.uint8)
masks2 = np.stack([masks2_0, masks2_1, masks2_2])
self.masks1 = masks1
self.masks2 = masks2
def testArea(self):
areas = np_mask_ops.area(self.masks1)
expected_areas = np.array([8.0, 10.0], dtype=np.float32)
self.assertAllClose(expected_areas, areas)
def testIntersection(self):
intersection = np_mask_ops.intersection(self.masks1, self.masks2)
expected_intersection = np.array(
[[8.0, 0.0, 8.0], [0.0, 9.0, 7.0]], dtype=np.float32)
self.assertAllClose(intersection, expected_intersection)
def testIOU(self):
iou = np_mask_ops.iou(self.masks1, self.masks2)
expected_iou = np.array(
[[1.0, 0.0, 8.0/25.0], [0.0, 9.0 / 16.0, 7.0 / 28.0]], dtype=np.float32)
self.assertAllClose(iou, expected_iou)
def testIOA(self):
ioa21 = np_mask_ops.ioa(self.masks1, self.masks2)
expected_ioa21 = np.array([[1.0, 0.0, 8.0/25.0],
[0.0, 9.0/15.0, 7.0/25.0]],
dtype=np.float32)
self.assertAllClose(ioa21, expected_ioa21)
if __name__ == '__main__':
tf.test.main()
|