b6437e4dd115c5b290eb84b0620610b497293609,models/official/detection/serving/inputs.py,,raw_image_tensor_input,#,59

Before Change

  if batch_size == 1:
    images_info = tf.expand_dims(image_info_per_image, axis=0)
  else:
    images_info = tf.tile(
        tf.expand_dims(image_info_per_image, axis=0), [batch_size, 1, 1])

  images = placeholder
  return placeholder, {"images": images, "image_info": images_info}

After Change

  image_info_per_image = [
      [image_height, image_width],
      [image_height, image_width],
      [1.0, 1.0],
      [0.0, 0.0]]
  if batch_size == 1:

Instances