def _reshape_instance_masks(self, keys_to_tensors):
"""Reshape instance segmentation masks.
The instance segmentation masks are reshaped to [num_instances, height,
width] and cast to boolean type to save memory.
Args:
keys_to_tensors: a dictionary from keys to tensors.
Returns:
A 3-D boolean tensor of shape [num_instances, height, width].
"""
masks = keys_to_tensors['image/segmentation/object']
if isinstance(masks, tf.SparseTensor):
masks = tf.sparse_tensor_to_dense(masks)
height = keys_to_tensors['image/height']
width = keys_to_tensors['image/width']
to_shape = tf.cast(tf.stack([-1, height, width]), tf.int32)
return tf.cast(tf.reshape(masks, to_shape), tf.bool)
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