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Python visualization_utils.add_cdf_image_summary方法代码示例

本文整理汇总了Python中object_detection.utils.visualization_utils.add_cdf_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_cdf_image_summary方法的具体用法?Python visualization_utils.add_cdf_image_summary怎么用?Python visualization_utils.add_cdf_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object_detection.utils.visualization_utils的用法示例。


在下文中一共展示了visualization_utils.add_cdf_image_summary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_add_cdf_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_cdf_image_summary [as 别名]
def test_add_cdf_image_summary(self):
    values = [0.1, 0.2, 0.3, 0.4, 0.42, 0.44, 0.46, 0.48, 0.50]
    visualization_utils.add_cdf_image_summary(values, 'PositiveAnchorLoss')
    cdf_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0]
    with self.test_session():
      cdf_image_summary.eval() 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:8,代码来源:visualization_utils_test.py

示例2: _summarize_anchor_classification_loss

# 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_cdf_image_summary [as 别名]
def _summarize_anchor_classification_loss(self, class_ids, cls_losses):
    positive_indices = tf.where(tf.greater(class_ids, 0))
    positive_anchor_cls_loss = tf.squeeze(
        tf.gather(cls_losses, positive_indices), axis=1)
    visualization_utils.add_cdf_image_summary(positive_anchor_cls_loss,
                                              'PositiveAnchorLossCDF')
    negative_indices = tf.where(tf.equal(class_ids, 0))
    negative_anchor_cls_loss = tf.squeeze(
        tf.gather(cls_losses, negative_indices), axis=1)
    visualization_utils.add_cdf_image_summary(negative_anchor_cls_loss,
                                              'NegativeAnchorLossCDF') 
开发者ID:ahmetozlu,项目名称:vehicle_counting_tensorflow,代码行数:13,代码来源:ssd_meta_arch.py

示例3: _summarize_anchor_classification_loss

# 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_cdf_image_summary [as 别名]
def _summarize_anchor_classification_loss(self, class_ids, cls_losses):
    positive_indices = tf.where(tf.greater(class_ids, 0))
    positive_anchor_cls_loss = tf.squeeze(
        tf.gather(cls_losses, positive_indices), axis=1)
   # visualization_utils.add_cdf_image_summary(positive_anchor_cls_loss,
   #                                           'PositiveAnchorLossCDF')
    negative_indices = tf.where(tf.equal(class_ids, 0))
    negative_anchor_cls_loss = tf.squeeze(
        tf.gather(cls_losses, negative_indices), axis=1)
   # visualization_utils.add_cdf_image_summary(negative_anchor_cls_loss,
   #                                           'NegativeAnchorLossCDF') 
开发者ID:BMW-InnovationLab,项目名称:BMW-TensorFlow-Training-GUI,代码行数:13,代码来源:ssd_meta_arch.py

示例4: test_add_cdf_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_cdf_image_summary [as 别名]
def test_add_cdf_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]
      visualization_utils.add_cdf_image_summary(values, 'PositiveAnchorLoss')
      cdf_image_summary = tf.get_collection(key=tf.GraphKeys.SUMMARIES)[0]
      return cdf_image_summary
    self.execute(graph_fn, []) 
开发者ID:tensorflow,项目名称:models,代码行数:9,代码来源:visualization_utils_test.py


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