0638b9c86cfec273b2e5799aea281ffa74d9161d,models/official/detection/serving/inputs.py,,raw_image_tensor_input,#,59

Before Change

      dtype=tf.float32,
      shape=(batch_size, image_height, image_width, 3))

  image_info_per_image = [
      [image_height, image_width],
      [image_height, image_width],
      [1.0, 1.0],
      [0.0, 0.0]]
  if batch_size == 1:
    images_info = tf.constant([image_info_per_image], dtype=tf.float32)
  else:
    images_info = tf.constant(

After Change

      [image_shape,
       image_shape,
       tf.constant([1.0, 1.0], dtype=tf.float32),
       tf.constant([0.0, 0.0], dtype=tf.float32)])
  if batch_size == 1:
    images_info = tf.expand_dims(image_info_per_image, axis=0)
  else:

Instances