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Python keypoint_ops.scale方法代碼示例

本文整理匯總了Python中object_detection.core.keypoint_ops.scale方法的典型用法代碼示例。如果您正苦於以下問題:Python keypoint_ops.scale方法的具體用法?Python keypoint_ops.scale怎麽用?Python keypoint_ops.scale使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在object_detection.core.keypoint_ops的用法示例。


在下文中一共展示了keypoint_ops.scale方法的3個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_scale

# 需要導入模塊: from object_detection.core import keypoint_ops [as 別名]
# 或者: from object_detection.core.keypoint_ops import scale [as 別名]
def test_scale(self):
    keypoints = tf.constant([
        [[0.0, 0.0], [100.0, 200.0]],
        [[50.0, 120.0], [100.0, 140.0]]
    ])
    y_scale = tf.constant(1.0 / 100)
    x_scale = tf.constant(1.0 / 200)

    expected_keypoints = tf.constant([
        [[0., 0.], [1.0, 1.0]],
        [[0.5, 0.6], [1.0, 0.7]]
    ])
    output = keypoint_ops.scale(keypoints, y_scale, x_scale)

    with self.test_session() as sess:
      output_, expected_keypoints_ = sess.run([output, expected_keypoints])
      self.assertAllClose(output_, expected_keypoints_) 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:19,代碼來源:keypoint_ops_test.py

示例2: test_scale

# 需要導入模塊: from object_detection.core import keypoint_ops [as 別名]
# 或者: from object_detection.core.keypoint_ops import scale [as 別名]
def test_scale(self):
    def graph_fn():
      keypoints = tf.constant([
          [[0.0, 0.0], [100.0, 200.0]],
          [[50.0, 120.0], [100.0, 140.0]]
      ])
      y_scale = tf.constant(1.0 / 100)
      x_scale = tf.constant(1.0 / 200)

      expected_keypoints = tf.constant([
          [[0., 0.], [1.0, 1.0]],
          [[0.5, 0.6], [1.0, 0.7]]
      ])
      output = keypoint_ops.scale(keypoints, y_scale, x_scale)
      return output, expected_keypoints
    output, expected_keypoints = self.execute(graph_fn, [])
    self.assertAllClose(output, expected_keypoints) 
開發者ID:tensorflow,項目名稱:models,代碼行數:19,代碼來源:keypoint_ops_test.py

示例3: scale_boxes_to_pixel_coordinates

# 需要導入模塊: from object_detection.core import keypoint_ops [as 別名]
# 或者: from object_detection.core.keypoint_ops import scale [as 別名]
def scale_boxes_to_pixel_coordinates(image, boxes, keypoints=None):
  """Scales boxes from normalized to pixel coordinates.

  Args:
    image: A 3D float32 tensor of shape [height, width, channels].
    boxes: A 2D float32 tensor of shape [num_boxes, 4] containing the bounding
      boxes in normalized coordinates. Each row is of the form
      [ymin, xmin, ymax, xmax].
    keypoints: (optional) rank 3 float32 tensor with shape
      [num_instances, num_keypoints, 2]. The keypoints are in y-x normalized
      coordinates.

  Returns:
    image: unchanged input image.
    scaled_boxes: a 2D float32 tensor of shape [num_boxes, 4] containing the
      bounding boxes in pixel coordinates.
    scaled_keypoints: a 3D float32 tensor with shape
      [num_instances, num_keypoints, 2] containing the keypoints in pixel
      coordinates.
  """
  boxlist = box_list.BoxList(boxes)
  image_height = tf.shape(image)[0]
  image_width = tf.shape(image)[1]
  scaled_boxes = box_list_ops.scale(boxlist, image_height, image_width).get()
  result = [image, scaled_boxes]
  if keypoints is not None:
    scaled_keypoints = keypoint_ops.scale(keypoints, image_height, image_width)
    result.append(scaled_keypoints)
  return tuple(result)


# pylint: disable=g-doc-return-or-yield 
開發者ID:ringringyi,項目名稱:DOTA_models,代碼行數:34,代碼來源:preprocessor.py


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