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Update the documentation for sample_distorted_bounding_box

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PiperOrigin-RevId: 173943029
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Jon Shlens 2017-10-30 13:46:18 -07:00 committed by TensorFlower Gardener
parent 4f6e6ea4cd
commit 682a6ed64f
1 changed files with 3 additions and 2 deletions
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5
tensorflow/python/ops/image_ops_impl.py
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@ -1513,7 +1513,8 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
# Generate a single distorted bounding box.
begin, size, bbox_for_draw = tf.image.sample_distorted_bounding_box(
tf.shape(image),
bounding_boxes=bounding_boxes)
bounding_boxes=bounding_boxes,
min_object_covered=0.1)
# Draw the bounding box in an image summary.
image_with_box = tf.image.draw_bounding_boxes(tf.expand_dims(image, 0),
@ -1541,7 +1542,7 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
seed.
seed2: An optional `int`. Defaults to `0`.
A second seed to avoid seed collision.
min_object_covered: An optional `float`. Defaults to `0.1`.
min_object_covered: A Tensor of type `float32`. Defaults to `0.1`.
The cropped area of the image must contain at least this
fraction of any bounding box supplied. The value of this parameter should be
non-negative. In the case of 0, the cropped area does not need to overlap