Python nets.resnet_v1.resnet_v1_50() Examples

The following are 30 code examples of nets.resnet_v1.resnet_v1_50(). 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 nets.resnet_v1 , or try the search function .
Example #1
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From tensorflow with BSD 2-Clause "Simplified" License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #2
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0,
               activation_fn=tf.nn.relu):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.
      activation_fn: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor,
          self).__init__('resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
                         first_stage_features_stride, batch_norm_trainable,
                         reuse_weights, weight_decay, activation_fn)
Example #3
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From object_detection_kitti with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #4
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From hands-detection with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #5
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From MBMD with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #6
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From moveo_ros with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #7
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Elphas with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #8
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From DOTA_models with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #9
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #10
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From object_detection_with_tensorflow with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #11
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From BMW-TensorFlow-Training-GUI with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #12
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From MAX-Object-Detector with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #13
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From ros_tensorflow with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #14
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From g-tensorflow-models with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #15
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Gun-Detector with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #16
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Hands-On-Machine-Learning-with-OpenCV-4 with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #17
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From models with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0,
               activation_fn=tf.nn.relu):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.
      activation_fn: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor,
          self).__init__('resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
                         first_stage_features_stride, batch_norm_trainable,
                         reuse_weights, weight_decay, activation_fn)
Example #18
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From object_detector_app with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #19
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From multilabel-image-classification-tensorflow with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #20
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #21
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From ros_people_object_detection_tensorflow with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #22
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From mtl-ssl with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0,
               base_features='block3',
               freeze_layer='',
               batch_norm_trainable=False,
               ):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay,
        base_features, freeze_layer, batch_norm_trainable)
Example #23
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Person-Detection-and-Tracking with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #24
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From cartoonify with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #25
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From garbage-object-detection-tensorflow with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #26
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From HereIsWally with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, reuse_weights, weight_decay)
Example #27
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From yolo_v2 with Apache License 2.0 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #28
Source File: faster_rcnn_resnet_v1_feature_extractor.py    From Traffic-Rule-Violation-Detection-System with MIT License 6 votes vote down vote up 
def __init__(self,
               is_training,
               first_stage_features_stride,
               batch_norm_trainable=False,
               reuse_weights=None,
               weight_decay=0.0):
    """Constructor.

    Args:
      is_training: See base class.
      first_stage_features_stride: See base class.
      batch_norm_trainable: See base class.
      reuse_weights: See base class.
      weight_decay: See base class.

    Raises:
      ValueError: If `first_stage_features_stride` is not 8 or 16,
        or if `architecture` is not supported.
    """
    super(FasterRCNNResnet50FeatureExtractor, self).__init__(
        'resnet_v1_50', resnet_v1.resnet_v1_50, is_training,
        first_stage_features_stride, batch_norm_trainable,
        reuse_weights, weight_decay)
Example #29
Source File: ssd_resnet_v1_ppn_feature_extractor.py    From models with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               is_training,
               depth_multiplier,
               min_depth,
               pad_to_multiple,
               conv_hyperparams_fn,
               reuse_weights=None,
               use_explicit_padding=False,
               use_depthwise=False,
               override_base_feature_extractor_hyperparams=False):
    """Resnet50 v1 Feature Extractor for SSD Models.

    Args:
      is_training: whether the network is in training mode.
      depth_multiplier: float depth multiplier for feature extractor.
      min_depth: minimum feature extractor depth.
      pad_to_multiple: the nearest multiple to zero pad the input height and
        width dimensions to.
      conv_hyperparams_fn: A function to construct tf slim arg_scope for conv2d
        and separable_conv2d ops in the layers that are added on top of the
        base feature extractor.
      reuse_weights: Whether to reuse variables. Default is None.
      use_explicit_padding: Whether to use explicit padding when extracting
        features. Default is False.
      use_depthwise: Whether to use depthwise convolutions. Default is False.
      override_base_feature_extractor_hyperparams: Whether to override
        hyperparameters of the base feature extractor with the one from
        `conv_hyperparams_fn`.
    """
    super(SSDResnet50V1PpnFeatureExtractor, self).__init__(
        is_training, depth_multiplier, min_depth, pad_to_multiple,
        conv_hyperparams_fn, resnet_v1.resnet_v1_50, 'resnet_v1_50',
        reuse_weights, use_explicit_padding, use_depthwise,
        override_base_feature_extractor_hyperparams=(
            override_base_feature_extractor_hyperparams))
Example #30
Source File: ssd_resnet_v1_ppn_feature_extractor.py    From MAX-Object-Detector with Apache License 2.0 5 votes vote down vote up 
def __init__(self,
               is_training,
               depth_multiplier,
               min_depth,
               pad_to_multiple,
               conv_hyperparams_fn,
               reuse_weights=None,
               use_explicit_padding=False,
               use_depthwise=False,
               override_base_feature_extractor_hyperparams=False):
    """Resnet50 v1 Feature Extractor for SSD Models.

    Args:
      is_training: whether the network is in training mode.
      depth_multiplier: float depth multiplier for feature extractor.
      min_depth: minimum feature extractor depth.
      pad_to_multiple: the nearest multiple to zero pad the input height and
        width dimensions to.
      conv_hyperparams_fn: A function to construct tf slim arg_scope for conv2d
        and separable_conv2d ops in the layers that are added on top of the
        base feature extractor.
      reuse_weights: Whether to reuse variables. Default is None.
      use_explicit_padding: Whether to use explicit padding when extracting
        features. Default is False.
      use_depthwise: Whether to use depthwise convolutions. Default is False.
      override_base_feature_extractor_hyperparams: Whether to override
        hyperparameters of the base feature extractor with the one from
        `conv_hyperparams_fn`.
    """
    super(SSDResnet50V1PpnFeatureExtractor, self).__init__(
        is_training, depth_multiplier, min_depth, pad_to_multiple,
        conv_hyperparams_fn, resnet_v1.resnet_v1_50, 'resnet_v1_50',
        reuse_weights, use_explicit_padding, use_depthwise,
        override_base_feature_extractor_hyperparams=(
            override_base_feature_extractor_hyperparams))