本文整理匯總了Python中object_detection.builders.losses_builder.build_faster_rcnn_classification_loss方法的典型用法代碼示例。如果您正苦於以下問題:Python losses_builder.build_faster_rcnn_classification_loss方法的具體用法?Python losses_builder.build_faster_rcnn_classification_loss怎麽用?Python losses_builder.build_faster_rcnn_classification_loss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.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_build_sigmoid_loss
# 需要導入模塊: from object_detection.builders import losses_builder [as 別名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 別名]
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
# 需要導入模塊: from object_detection.builders import losses_builder [as 別名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 別名]
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
# 需要導入模塊: from object_detection.builders import losses_builder [as 別名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 別名]
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
# 需要導入模塊: from object_detection.builders import losses_builder [as 別名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 別名]
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
# 需要導入模塊: from object_detection.builders import losses_builder [as 別名]
# 或者: from object_detection.builders.losses_builder import build_faster_rcnn_classification_loss [as 別名]
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))