本文整理汇总了Python中object_detection.utils.visualization_utils.add_hist_image_summary方法的典型用法代码示例。如果您正苦于以下问题：Python visualization_utils.add_hist_image_summary方法的具体用法？Python visualization_utils.add_hist_image_summary怎么用？Python visualization_utils.add_hist_image_summary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.visualization_utils的用法示例。
在下文中一共展示了visualization_utils.add_hist_image_summary方法的2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_add_hist_image_summary
# 需要导入模块: from object_detection.utils import visualization_utils [as 别名]
# 或者: from object_detection.utils.visualization_utils import add_hist_image_summary [as 别名]
def test_add_hist_image_summary(self):
values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50]
bins = [0.01 * i for i in range(101)]
visualization_utils.add_hist_image_summary(values, bins,
'ScoresDistribution')
hist_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0]
with self.test_session():
hist_image_summary.eval() 示例2: test_add_hist_image_summary
# 需要导入模块: from object_detection.utils import visualization_utils [as 别名]
# 或者: from object_detection.utils.visualization_utils import add_hist_image_summary [as 别名]
def test_add_hist_image_summary(self):
def graph_fn():
values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50]
bins = [0.01 * i for i in range(101)]
visualization_utils.add_hist_image_summary(values, bins,
'ScoresDistribution')
hist_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0]
return hist_image_summary
self.execute(graph_fn, [])