080700865e68f22295b296e097032baa89231d99,models/official/resnet/resnet_preprocessing.py,,distorted_bounding_box_crop,#Any#Any#Any#Any#Any#Any#Any#,69

Before Change

    bbox_begin, bbox_size, distort_bbox = sample_distorted_bounding_box

    // Crop the image to the specified bounding box.
    cropped_image = tf.slice(image, bbox_begin, bbox_size)
    return cropped_image, distort_bbox


def _random_crop(image, size):

After Change

    // Crop the image to the specified bounding box.
    offset_y, offset_x, _ = tf.unstack(bbox_begin)
    target_height, target_width, _ = tf.unstack(bbox_size)
    crop_window = tf.stack([offset_y, offset_x, target_height, target_width])
    image = tf.image.decode_and_crop_jpeg(image_bytes, crop_window)
    image = tf.image.convert_image_dtype(
        image, dtype=tf.float32)

    return image


def _at_least_x_are_equal(a, b, x):
  At least `x` of `a` and `b` `Tensors` are equal.

Instances