Python object_detection.builders.losses_builder.build_faster_rcnn_classification_loss() Examples

The following are 30 code examples of object_detection.builders.losses_builder.build_faster_rcnn_classification_loss(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module object_detection.builders.losses_builder , or try the search function .
Example #1
Source File: losses_builder_test.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
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))
Example #2
Source File: losses_builder_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
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))
Example #3
Source File: losses_builder_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
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))
Example #4
Source File: losses_builder_test.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
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))
Example #5
Source File: losses_builder_test.py    From models with Apache License 2.0 5 votes vote down vote up 
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))
Example #6
Source File: losses_builder_test.py    From models with Apache License 2.0 5 votes vote down vote up 
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.assertIsInstance(classification_loss,
                          losses.SigmoidFocalClassificationLoss)
Example #7
Source File: losses_builder_test.py    From models with Apache License 2.0 5 votes vote down vote up 
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.assertIsInstance(classification_loss,
                          losses.WeightedSoftmaxClassificationLoss)
Example #8
Source File: losses_builder_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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))
Example #9
Source File: losses_builder_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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))
Example #10
Source File: losses_builder_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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))
Example #11
Source File: losses_builder_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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))
Example #12
Source File: losses_builder_test.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
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))
Example #13
Source File: losses_builder_test.py    From models with Apache License 2.0 5 votes vote down vote up 
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.assertIsInstance(classification_loss,
                          losses.WeightedSoftmaxClassificationLoss)
Example #14
Source File: losses_builder_test.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
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))
Example #15
Source File: losses_builder_test.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
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))
Example #16
Source File: losses_builder_test.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
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))
Example #17
Source File: losses_builder_test.py    From AniSeg with Apache License 2.0 5 votes vote down vote up 
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))
Example #18
Source File: losses_builder_test.py    From AniSeg with Apache License 2.0 5 votes vote down vote up 
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))
Example #19
Source File: losses_builder_test.py    From AniSeg with Apache License 2.0 5 votes vote down vote up 
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))
Example #20
Source File: losses_builder_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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))
Example #21
Source File: losses_builder_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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))
Example #22
Source File: losses_builder_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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))
Example #23
Source File: losses_builder_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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))
Example #24
Source File: losses_builder_test.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
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))
Example #25
Source File: losses_builder_test.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
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))
Example #26
Source File: losses_builder_test.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
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))
Example #27
Source File: losses_builder_test.py    From Elphas with Apache License 2.0 5 votes vote down vote up 
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))
Example #28
Source File: losses_builder_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 5 votes vote down vote up 
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))
Example #29
Source File: losses_builder_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 5 votes vote down vote up 
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))
Example #30
Source File: losses_builder_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 5 votes vote down vote up 
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))