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"""Tests for object_detection.box_coder.keypoint_box_coder.""" |
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import tensorflow as tf |
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from object_detection.box_coders import keypoint_box_coder |
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from object_detection.core import box_list |
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from object_detection.core import standard_fields as fields |
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class KeypointBoxCoderTest(tf.test.TestCase): |
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def test_get_correct_relative_codes_after_encoding(self): |
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boxes = [[10., 10., 20., 15.], |
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[0.2, 0.1, 0.5, 0.4]] |
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keypoints = [[[15., 12.], [10., 15.]], |
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[[0.5, 0.3], [0.2, 0.4]]] |
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num_keypoints = len(keypoints[0]) |
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anchors = [[15., 12., 30., 18.], |
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[0.1, 0.0, 0.7, 0.9]] |
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expected_rel_codes = [ |
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[-0.5, -0.416666, -0.405465, -0.182321, |
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-0.5, -0.5, -0.833333, 0.], |
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[-0.083333, -0.222222, -0.693147, -1.098612, |
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0.166667, -0.166667, -0.333333, -0.055556] |
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] |
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boxes = box_list.BoxList(tf.constant(boxes)) |
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boxes.add_field(fields.BoxListFields.keypoints, tf.constant(keypoints)) |
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anchors = box_list.BoxList(tf.constant(anchors)) |
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coder = keypoint_box_coder.KeypointBoxCoder(num_keypoints) |
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rel_codes = coder.encode(boxes, anchors) |
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with self.test_session() as sess: |
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rel_codes_out, = sess.run([rel_codes]) |
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self.assertAllClose(rel_codes_out, expected_rel_codes) |
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def test_get_correct_relative_codes_after_encoding_with_scaling(self): |
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boxes = [[10., 10., 20., 15.], |
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[0.2, 0.1, 0.5, 0.4]] |
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keypoints = [[[15., 12.], [10., 15.]], |
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[[0.5, 0.3], [0.2, 0.4]]] |
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num_keypoints = len(keypoints[0]) |
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anchors = [[15., 12., 30., 18.], |
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[0.1, 0.0, 0.7, 0.9]] |
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scale_factors = [2, 3, 4, 5] |
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expected_rel_codes = [ |
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[-1., -1.25, -1.62186, -0.911608, |
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-1.0, -1.5, -1.666667, 0.], |
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[-0.166667, -0.666667, -2.772588, -5.493062, |
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0.333333, -0.5, -0.666667, -0.166667] |
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] |
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boxes = box_list.BoxList(tf.constant(boxes)) |
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boxes.add_field(fields.BoxListFields.keypoints, tf.constant(keypoints)) |
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anchors = box_list.BoxList(tf.constant(anchors)) |
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coder = keypoint_box_coder.KeypointBoxCoder( |
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num_keypoints, scale_factors=scale_factors) |
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rel_codes = coder.encode(boxes, anchors) |
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with self.test_session() as sess: |
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rel_codes_out, = sess.run([rel_codes]) |
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self.assertAllClose(rel_codes_out, expected_rel_codes) |
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def test_get_correct_boxes_after_decoding(self): |
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anchors = [[15., 12., 30., 18.], |
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[0.1, 0.0, 0.7, 0.9]] |
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rel_codes = [ |
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[-0.5, -0.416666, -0.405465, -0.182321, |
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-0.5, -0.5, -0.833333, 0.], |
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[-0.083333, -0.222222, -0.693147, -1.098612, |
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0.166667, -0.166667, -0.333333, -0.055556] |
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] |
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expected_boxes = [[10., 10., 20., 15.], |
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[0.2, 0.1, 0.5, 0.4]] |
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expected_keypoints = [[[15., 12.], [10., 15.]], |
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[[0.5, 0.3], [0.2, 0.4]]] |
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num_keypoints = len(expected_keypoints[0]) |
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anchors = box_list.BoxList(tf.constant(anchors)) |
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coder = keypoint_box_coder.KeypointBoxCoder(num_keypoints) |
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boxes = coder.decode(rel_codes, anchors) |
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with self.test_session() as sess: |
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boxes_out, keypoints_out = sess.run( |
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[boxes.get(), boxes.get_field(fields.BoxListFields.keypoints)]) |
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self.assertAllClose(boxes_out, expected_boxes) |
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self.assertAllClose(keypoints_out, expected_keypoints) |
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def test_get_correct_boxes_after_decoding_with_scaling(self): |
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anchors = [[15., 12., 30., 18.], |
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[0.1, 0.0, 0.7, 0.9]] |
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rel_codes = [ |
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[-1., -1.25, -1.62186, -0.911608, |
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-1.0, -1.5, -1.666667, 0.], |
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[-0.166667, -0.666667, -2.772588, -5.493062, |
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0.333333, -0.5, -0.666667, -0.166667] |
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] |
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scale_factors = [2, 3, 4, 5] |
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expected_boxes = [[10., 10., 20., 15.], |
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[0.2, 0.1, 0.5, 0.4]] |
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expected_keypoints = [[[15., 12.], [10., 15.]], |
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[[0.5, 0.3], [0.2, 0.4]]] |
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num_keypoints = len(expected_keypoints[0]) |
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anchors = box_list.BoxList(tf.constant(anchors)) |
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coder = keypoint_box_coder.KeypointBoxCoder( |
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num_keypoints, scale_factors=scale_factors) |
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boxes = coder.decode(rel_codes, anchors) |
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with self.test_session() as sess: |
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boxes_out, keypoints_out = sess.run( |
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[boxes.get(), boxes.get_field(fields.BoxListFields.keypoints)]) |
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self.assertAllClose(boxes_out, expected_boxes) |
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self.assertAllClose(keypoints_out, expected_keypoints) |
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def test_very_small_width_nan_after_encoding(self): |
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boxes = [[10., 10., 10.0000001, 20.]] |
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keypoints = [[[10., 10.], [10.0000001, 20.]]] |
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anchors = [[15., 12., 30., 18.]] |
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expected_rel_codes = [[-0.833333, 0., -21.128731, 0.510826, |
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-0.833333, -0.833333, -0.833333, 0.833333]] |
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boxes = box_list.BoxList(tf.constant(boxes)) |
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boxes.add_field(fields.BoxListFields.keypoints, tf.constant(keypoints)) |
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anchors = box_list.BoxList(tf.constant(anchors)) |
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coder = keypoint_box_coder.KeypointBoxCoder(2) |
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rel_codes = coder.encode(boxes, anchors) |
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with self.test_session() as sess: |
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rel_codes_out, = sess.run([rel_codes]) |
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self.assertAllClose(rel_codes_out, expected_rel_codes) |
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if __name__ == '__main__': |
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tf.test.main() |
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