def test_correct_boxes_with_non_default_scale(self): anchors = [[15.0, 12.0, 30.0, 18.0], [0.1, 0.0, 0.7, 0.9]] rel_codes = [[-1., -1.25, -1.62186], [-0.166667, -0.666667, -2.772588]] scale_factors = [2, 3, 4] expected_boxes = [[14.594306, 7.884875, 20.918861, 14.209432], [0.155051, 0.102989, 0.522474, 0.470412]] anchors = box_list.BoxList(tf.constant(anchors)) coder = square_box_coder.SquareBoxCoder(scale_factors=scale_factors) boxes = coder.decode(rel_codes, anchors) with self.test_session() as sess: (boxes_out,) = sess.run([boxes.get()]) self.assertAllClose(boxes_out, expected_boxes)
def test_correct_relative_codes_with_small_width(self): boxes = [[10.0, 10.0, 10.0000001, 20.0]] anchors = [[15.0, 12.0, 30.0, 18.0]] scale_factors = None expected_rel_codes = [[-1.317616, 0., -20.670586]] boxes = box_list.BoxList(tf.constant(boxes)) anchors = box_list.BoxList(tf.constant(anchors)) coder = square_box_coder.SquareBoxCoder(scale_factors=scale_factors) rel_codes = coder.encode(boxes, anchors) with self.test_session() as sess: (rel_codes_out,) = sess.run([rel_codes]) self.assertAllClose(rel_codes_out, expected_rel_codes)
def test_correct_relative_codes_with_non_default_scale(self): boxes = [[10.0, 10.0, 20.0, 15.0], [0.2, 0.1, 0.5, 0.4]] anchors = [[15.0, 12.0, 30.0, 18.0], [0.1, 0.0, 0.7, 0.9]] scale_factors = [2, 3, 4] expected_rel_codes = [[-1.581139, -0.790569, -1.175573], [-0.136083, -0.816497, -3.583519]] boxes = box_list.BoxList(tf.constant(boxes)) anchors = box_list.BoxList(tf.constant(anchors)) coder = square_box_coder.SquareBoxCoder(scale_factors=scale_factors) rel_codes = coder.encode(boxes, anchors) with self.test_session() as sess: (rel_codes_out,) = sess.run([rel_codes]) self.assertAllClose(rel_codes_out, expected_rel_codes)
def test_correct_relative_codes_with_default_scale(self): boxes = [[10.0, 10.0, 20.0, 15.0], [0.2, 0.1, 0.5, 0.4]] anchors = [[15.0, 12.0, 30.0, 18.0], [0.1, 0.0, 0.7, 0.9]] scale_factors = None expected_rel_codes = [[-0.790569, -0.263523, -0.293893], [-0.068041, -0.272166, -0.89588]] boxes = box_list.BoxList(tf.constant(boxes)) anchors = box_list.BoxList(tf.constant(anchors)) coder = square_box_coder.SquareBoxCoder(scale_factors=scale_factors) rel_codes = coder.encode(boxes, anchors) with self.test_session() as sess: (rel_codes_out,) = sess.run([rel_codes]) self.assertAllClose(rel_codes_out, expected_rel_codes)
def build(box_coder_config): """Builds a box coder object based on the box coder config. Args: box_coder_config: A box_coder.proto object containing the config for the desired box coder. Returns: BoxCoder based on the config. Raises: ValueError: On empty box coder proto. """ if not isinstance(box_coder_config, box_coder_pb2.BoxCoder): raise ValueError('box_coder_config not of type box_coder_pb2.BoxCoder.') if box_coder_config.WhichOneof('box_coder_oneof') == 'faster_rcnn_box_coder': return faster_rcnn_box_coder.FasterRcnnBoxCoder(scale_factors=[ box_coder_config.faster_rcnn_box_coder.y_scale, box_coder_config.faster_rcnn_box_coder.x_scale, box_coder_config.faster_rcnn_box_coder.height_scale, box_coder_config.faster_rcnn_box_coder.width_scale ]) if box_coder_config.WhichOneof('box_coder_oneof') == 'keypoint_box_coder': return keypoint_box_coder.KeypointBoxCoder( box_coder_config.keypoint_box_coder.num_keypoints, scale_factors=[ box_coder_config.keypoint_box_coder.y_scale, box_coder_config.keypoint_box_coder.x_scale, box_coder_config.keypoint_box_coder.height_scale, box_coder_config.keypoint_box_coder.width_scale ]) if (box_coder_config.WhichOneof('box_coder_oneof') == 'mean_stddev_box_coder'): return mean_stddev_box_coder.MeanStddevBoxCoder() if box_coder_config.WhichOneof('box_coder_oneof') == 'square_box_coder': return square_box_coder.SquareBoxCoder(scale_factors=[ box_coder_config.square_box_coder.y_scale, box_coder_config.square_box_coder.x_scale, box_coder_config.square_box_coder.length_scale ]) raise ValueError('Empty box coder.')