Python object_detection.builders.optimizer_builder._create_learning_rate() Examples

The following are 30 code examples of object_detection.builders.optimizer_builder._create_learning_rate(). 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.optimizer_builder , or try the search function .
Example #1
Source File: optimizer_builder_test.py    From HereIsWally with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #2
Source File: optimizer_builder_test.py    From moveo_ros with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #3
Source File: optimizer_builder_test.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #4
Source File: optimizer_builder_test.py    From garbage-object-detection-tensorflow with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #5
Source File: optimizer_builder_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #6
Source File: optimizer_builder_test.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #7
Source File: optimizer_builder_test.py    From hands-detection with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #8
Source File: optimizer_builder_test.py    From Traffic-Rule-Violation-Detection-System with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #9
Source File: optimizer_builder_test.py    From ros_tensorflow with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #10
Source File: optimizer_builder_test.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #11
Source File: optimizer_builder_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #12
Source File: optimizer_builder_test.py    From Person-Detection-and-Tracking with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #13
Source File: optimizer_builder_test.py    From object_detector_app with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #14
Source File: optimizer_builder_test.py    From tensorflow with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #15
Source File: optimizer_builder_test.py    From Hands-On-Machine-Learning-with-OpenCV-4 with MIT License 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #16
Source File: optimizer_builder_test.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        initial_learning_rate: 0.002
        schedule {
          step: 100
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
        warmup: true
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #17
Source File: optimizer_builder_test.py    From DOTA_models with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #18
Source File: optimizer_builder_test.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
def testBuildManualStepLearningRate(self):
    learning_rate_text_proto = """
      manual_step_learning_rate {
        schedule {
          step: 0
          learning_rate: 0.006
        }
        schedule {
          step: 90000
          learning_rate: 0.00006
        }
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #19
Source File: optimizer_builder_test.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def testBuildCosineDecayLearningRate(self):
    learning_rate_text_proto = """
      cosine_decay_learning_rate {
        learning_rate_base: 0.002
        total_steps: 20000
        warmup_learning_rate: 0.0001
        warmup_steps: 1000
        hold_base_rate_steps: 20000
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #20
Source File: optimizer_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 testBuildExponentialDecayLearningRate(self):
    learning_rate_text_proto = """
      exponential_decay_learning_rate {
        initial_learning_rate: 0.004
        decay_steps: 99999
        decay_factor: 0.85
        staircase: false
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(learning_rate.op.name.endswith('learning_rate'))
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #21
Source File: optimizer_builder_test.py    From hands-detection with MIT License 5 votes vote down vote up 
def testRaiseErrorOnEmptyLearningRate(self):
    learning_rate_text_proto = """
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    with self.assertRaises(ValueError):
      optimizer_builder._create_learning_rate(
          learning_rate_proto, global_summaries)
Example #22
Source File: optimizer_builder_test.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 5 votes vote down vote up 
def testRaiseErrorOnEmptyLearningRate(self):
    learning_rate_text_proto = """
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    with self.assertRaises(ValueError):
      optimizer_builder._create_learning_rate(learning_rate_proto)
Example #23
Source File: optimizer_builder_test.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def testBuildExponentialDecayLearningRate(self):
    learning_rate_text_proto = """
      exponential_decay_learning_rate {
        initial_learning_rate: 0.004
        decay_steps: 99999
        decay_factor: 0.85
        staircase: false
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(learning_rate.op.name.endswith('learning_rate'))
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #24
Source File: optimizer_builder_test.py    From ros_tensorflow with Apache License 2.0 5 votes vote down vote up 
def testBuildConstantLearningRate(self):
    learning_rate_text_proto = """
      constant_learning_rate {
        learning_rate: 0.004
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(learning_rate.op.name.endswith('learning_rate'))
    with self.test_session():
      learning_rate_out = learning_rate.eval()
    self.assertAlmostEqual(learning_rate_out, 0.004)
Example #25
Source File: optimizer_builder_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def testRaiseErrorOnEmptyLearningRate(self):
    learning_rate_text_proto = """
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    with self.assertRaises(ValueError):
      optimizer_builder._create_learning_rate(learning_rate_proto)
Example #26
Source File: optimizer_builder_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def testBuildCosineDecayLearningRate(self):
    learning_rate_text_proto = """
      cosine_decay_learning_rate {
        learning_rate_base: 0.002
        total_steps: 20000
        warmup_learning_rate: 0.0001
        warmup_steps: 1000
        hold_base_rate_steps: 20000
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #27
Source File: optimizer_builder_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def testBuildExponentialDecayLearningRate(self):
    learning_rate_text_proto = """
      exponential_decay_learning_rate {
        initial_learning_rate: 0.004
        decay_steps: 99999
        decay_factor: 0.85
        staircase: false
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(learning_rate.op.name.endswith('learning_rate'))
    self.assertTrue(isinstance(learning_rate, tf.Tensor))
Example #28
Source File: optimizer_builder_test.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def testBuildConstantLearningRate(self):
    learning_rate_text_proto = """
      constant_learning_rate {
        learning_rate: 0.004
      }
    """
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto)
    self.assertTrue(learning_rate.op.name.endswith('learning_rate'))
    with self.test_session():
      learning_rate_out = learning_rate.eval()
    self.assertAlmostEqual(learning_rate_out, 0.004)
Example #29
Source File: optimizer_builder_test.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def testRaiseErrorOnEmptyLearningRate(self):
    learning_rate_text_proto = """
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    with self.assertRaises(ValueError):
      optimizer_builder._create_learning_rate(
          learning_rate_proto, global_summaries)
Example #30
Source File: optimizer_builder_test.py    From tensorflow with BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def testBuildExponentialDecayLearningRate(self):
    learning_rate_text_proto = """
      exponential_decay_learning_rate {
        initial_learning_rate: 0.004
        decay_steps: 99999
        decay_factor: 0.85
        staircase: false
      }
    """
    global_summaries = set([])
    learning_rate_proto = optimizer_pb2.LearningRate()
    text_format.Merge(learning_rate_text_proto, learning_rate_proto)
    learning_rate = optimizer_builder._create_learning_rate(
        learning_rate_proto, global_summaries)
    self.assertTrue(isinstance(learning_rate, tf.Tensor))