本文整理匯總了Python中object_detection.utils.shape_utils.pad_or_clip_tensor方法的典型用法代碼示例。如果您正苦於以下問題：Python shape_utils.pad_or_clip_tensor方法的具體用法？Python shape_utils.pad_or_clip_tensor怎麽用？Python shape_utils.pad_or_clip_tensor使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類object_detection.utils.shape_utils的用法示例。
在下文中一共展示了shape_utils.pad_or_clip_tensor方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_pad_or_clip_tensor_using_integer_input
# 需要導入模塊: from object_detection.utils import shape_utils [as 別名]
# 或者: from object_detection.utils.shape_utils import pad_or_clip_tensor [as 別名]
def test_pad_or_clip_tensor_using_integer_input(self):
t1 = tf.constant([1], dtype=tf.int32)
tt1 = shape_utils.pad_or_clip_tensor(t1, 2)
t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32)
tt2 = shape_utils.pad_or_clip_tensor(t2, 2)
t3 = tf.constant([1, 2, 3], dtype=tf.int32)
tt3 = shape_utils.clip_tensor(t3, 2)
t4 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32)
tt4 = shape_utils.clip_tensor(t4, 2)
self.assertEqual(2, tt1.get_shape()[0])
self.assertEqual(2, tt2.get_shape()[0])
self.assertEqual(2, tt3.get_shape()[0])
self.assertEqual(2, tt4.get_shape()[0])
with self.test_session() as sess:
tt1_result, tt2_result, tt3_result, tt4_result = sess.run(
[tt1, tt2, tt3, tt4])
self.assertAllEqual([1, 0], tt1_result)
self.assertAllClose([[0.1, 0.2], [0, 0]], tt2_result)
self.assertAllEqual([1, 2], tt3_result)
self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], tt4_result) 示例2: test_pad_or_clip_tensor_using_tensor_input
# 需要導入模塊: from object_detection.utils import shape_utils [as 別名]
# 或者: from object_detection.utils.shape_utils import pad_or_clip_tensor [as 別名]
def test_pad_or_clip_tensor_using_tensor_input(self):
t1 = tf.constant([1], dtype=tf.int32)
tt1 = shape_utils.pad_or_clip_tensor(t1, tf.constant(2))
t2 = tf.constant([[0.1, 0.2]], dtype=tf.float32)
tt2 = shape_utils.pad_or_clip_tensor(t2, tf.constant(2))
t3 = tf.constant([1, 2, 3], dtype=tf.int32)
tt3 = shape_utils.clip_tensor(t3, tf.constant(2))
t4 = tf.constant([[0.1, 0.2], [0.2, 0.4], [0.5, 0.8]], dtype=tf.float32)
tt4 = shape_utils.clip_tensor(t4, tf.constant(2))
with self.test_session() as sess:
tt1_result, tt2_result, tt3_result, tt4_result = sess.run(
[tt1, tt2, tt3, tt4])
self.assertAllEqual([1, 0], tt1_result)
self.assertAllClose([[0.1, 0.2], [0, 0]], tt2_result)
self.assertAllEqual([1, 2], tt3_result)
self.assertAllClose([[0.1, 0.2], [0.2, 0.4]], tt4_result) 示例3: pad_or_clip_box_list
# 需要導入模塊: from object_detection.utils import shape_utils [as 別名]
# 或者: from object_detection.utils.shape_utils import pad_or_clip_tensor [as 別名]
def pad_or_clip_box_list(boxlist, num_boxes, scope=None):
"""Pads or clips all fields of a BoxList.
Args:
boxlist: A BoxList with arbitrary of number of boxes.
num_boxes: First num_boxes in boxlist are kept.
The fields are zero-padded if num_boxes is bigger than the
actual number of boxes.
scope: name scope.
Returns:
BoxList with all fields padded or clipped.
"""
with tf.name_scope(scope, 'PadOrClipBoxList'):
subboxlist = box_list.BoxList(shape_utils.pad_or_clip_tensor(
boxlist.get(), num_boxes))
for field in boxlist.get_extra_fields():
subfield = shape_utils.pad_or_clip_tensor(
boxlist.get_field(field), num_boxes)
subboxlist.add_field(field, subfield)
return subboxlist