def inputs(eval_data):
"""Construct input for BBBC006 evaluation using the Reader ops.
Args:
eval_data: bool, indicating if one should use the train or eval data set.
Returns:
images: Images. 4D tensor of [batch_size, IMAGE_WIDTH, IMAGE_HEIGHT, 1] size.
labels: Labels. 4D tensor of [batch_size, IMAGE_WIDTH, IMAGE_HEIGHT, 2] size.
Raises:
ValueError: If no data_dir
"""
if not FLAGS.data_dir:
raise ValueError('Please supply a data_dir')
images, labels = bbbc006_input.inputs(eval_data=eval_data,
batch_size=FLAGS.batch_size)
if FLAGS.use_fp16:
images = tf.cast(images, tf.float16)
labels = tf.cast(labels, tf.float16)
return images, labels
评论列表
文章目录