本文整理汇总了Python中object_detection.utils.ops.replace_nan_groundtruth_label_scores_with_ones方法的典型用法代码示例。如果您正苦于以下问题：Python ops.replace_nan_groundtruth_label_scores_with_ones方法的具体用法？Python ops.replace_nan_groundtruth_label_scores_with_ones怎么用？Python ops.replace_nan_groundtruth_label_scores_with_ones使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类object_detection.utils.ops的用法示例。
在下文中一共展示了ops.replace_nan_groundtruth_label_scores_with_ones方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_replace_nan_groundtruth_label_scores_with_ones
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import replace_nan_groundtruth_label_scores_with_ones [as 别名]
def test_replace_nan_groundtruth_label_scores_with_ones(self):
label_scores = tf.constant([np.nan, 1.0, np.nan])
output_tensor = ops.replace_nan_groundtruth_label_scores_with_ones(
label_scores)
expected_tensor = [1.0, 1.0, 1.0]
with self.test_session():
output_tensor = output_tensor.eval()
self.assertAllClose(expected_tensor, output_tensor) 示例2: test_input_equals_output_when_no_nans
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import replace_nan_groundtruth_label_scores_with_ones [as 别名]
def test_input_equals_output_when_no_nans(self):
input_label_scores = [0.5, 1.0, 1.0]
label_scores_tensor = tf.constant(input_label_scores)
output_label_scores = ops.replace_nan_groundtruth_label_scores_with_ones(
label_scores_tensor)
with self.test_session():
output_label_scores = output_label_scores.eval()
self.assertAllClose(input_label_scores, output_label_scores) 示例3: test_replace_nan_groundtruth_label_scores_with_ones
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import replace_nan_groundtruth_label_scores_with_ones [as 别名]
def test_replace_nan_groundtruth_label_scores_with_ones(self):
label_scores = tf.constant([np.nan, 1.0, np.nan])
output_tensor = ops.replace_nan_groundtruth_label_scores_with_ones(
label_scores)
expected_tensor = [1.0, 1.0, 1.0]
with self.test_session():
output_tensor = output_tensor.eval()
self.assertAllClose(expected_tensor, output_tensor) 示例4: test_input_equals_output_when_no_nans
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import replace_nan_groundtruth_label_scores_with_ones [as 别名]
def test_input_equals_output_when_no_nans(self):
input_label_scores = [0.5, 1.0, 1.0]
label_scores_tensor = tf.constant(input_label_scores)
output_label_scores = ops.replace_nan_groundtruth_label_scores_with_ones(
label_scores_tensor)
with self.test_session():
output_label_scores = output_label_scores.eval()
self.assertAllClose(input_label_scores, output_label_scores)