本文整理汇总了Python中object_detection.builders.losses_builder.build_faster_rcnn_classification_loss方法的典型用法代码示例。如果您正苦于以下问题：Python losses_builder.build_faster_rcnn_classification_loss方法的具体用法？Python losses_builder.build_faster_rcnn_classification_loss怎么用？Python losses_builder.build_faster_rcnn_classification_loss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.builders.losses_builder的用法示例。
在下文中一共展示了losses_builder.build_faster_rcnn_classification_loss方法的5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_build_sigmoid_loss
# 需要导入模块: from object_detection.builders import losses_builder [as 别名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 别名]
def test_build_sigmoid_loss(self):
losses_text_proto = """
weighted_sigmoid {
}
"""
losses_proto = losses_pb2.ClassificationLoss()
text_format.Merge(losses_text_proto, losses_proto)
classification_loss = losses_builder.build_faster_rcnn_classification_loss(
losses_proto)
self.assertTrue(isinstance(classification_loss,
losses.WeightedSigmoidClassificationLoss)) 示例2: test_build_softmax_loss
# 需要导入模块: from object_detection.builders import losses_builder [as 别名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 别名]
def test_build_softmax_loss(self):
losses_text_proto = """
weighted_softmax {
}
"""
losses_proto = losses_pb2.ClassificationLoss()
text_format.Merge(losses_text_proto, losses_proto)
classification_loss = losses_builder.build_faster_rcnn_classification_loss(
losses_proto)
self.assertTrue(isinstance(classification_loss,
losses.WeightedSoftmaxClassificationLoss)) 示例3: test_build_logits_softmax_loss
# 需要导入模块: from object_detection.builders import losses_builder [as 别名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 别名]
def test_build_logits_softmax_loss(self):
losses_text_proto = """
weighted_logits_softmax {
}
"""
losses_proto = losses_pb2.ClassificationLoss()
text_format.Merge(losses_text_proto, losses_proto)
classification_loss = losses_builder.build_faster_rcnn_classification_loss(
losses_proto)
self.assertTrue(
isinstance(classification_loss,
losses.WeightedSoftmaxClassificationAgainstLogitsLoss)) 示例4: test_build_sigmoid_focal_loss
# 需要导入模块: from object_detection.builders import losses_builder [as 别名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 别名]
def test_build_sigmoid_focal_loss(self):
losses_text_proto = """
weighted_sigmoid_focal {
}
"""
losses_proto = losses_pb2.ClassificationLoss()
text_format.Merge(losses_text_proto, losses_proto)
classification_loss = losses_builder.build_faster_rcnn_classification_loss(
losses_proto)
self.assertTrue(
isinstance(classification_loss,
losses.SigmoidFocalClassificationLoss)) 示例5: test_build_softmax_loss_by_default
# 需要导入模块: from object_detection.builders import losses_builder [as 别名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 别名]
def test_build_softmax_loss_by_default(self):
losses_text_proto = """
"""
losses_proto = losses_pb2.ClassificationLoss()
text_format.Merge(losses_text_proto, losses_proto)
classification_loss = losses_builder.build_faster_rcnn_classification_loss(
losses_proto)
self.assertTrue(isinstance(classification_loss,
losses.WeightedSoftmaxClassificationLoss))