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Update the documentation for sample_distorted_bounding_box
PiperOrigin-RevId: 173943029
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@ -1513,7 +1513,8 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
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# Generate a single distorted bounding box.
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# Generate a single distorted bounding box.
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begin, size, bbox_for_draw = tf.image.sample_distorted_bounding_box(
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begin, size, bbox_for_draw = tf.image.sample_distorted_bounding_box(
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tf.shape(image),
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tf.shape(image),
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bounding_boxes=bounding_boxes)
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bounding_boxes=bounding_boxes,
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min_object_covered=0.1)
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# Draw the bounding box in an image summary.
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# Draw the bounding box in an image summary.
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image_with_box = tf.image.draw_bounding_boxes(tf.expand_dims(image, 0),
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image_with_box = tf.image.draw_bounding_boxes(tf.expand_dims(image, 0),
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@ -1541,7 +1542,7 @@ def sample_distorted_bounding_box(image_size, bounding_boxes, seed=None,
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seed.
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seed.
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seed2: An optional `int`. Defaults to `0`.
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seed2: An optional `int`. Defaults to `0`.
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A second seed to avoid seed collision.
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A second seed to avoid seed collision.
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min_object_covered: An optional `float`. Defaults to `0.1`.
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min_object_covered: A Tensor of type `float32`. Defaults to `0.1`.
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The cropped area of the image must contain at least this
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The cropped area of the image must contain at least this
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fraction of any bounding box supplied. The value of this parameter should be
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fraction of any bounding box supplied. The value of this parameter should be
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non-negative. In the case of 0, the cropped area does not need to overlap
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non-negative. In the case of 0, the cropped area does not need to overlap
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