Python nets.mobilenet_v1.MOBILENETV1_CONV_DEFS Examples
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Example #1
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From vehicle_counting_tensorflow with MIT License | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs
Example #2
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From Live-feed-object-device-identification-using-Tensorflow-and-OpenCV with Apache License 2.0 | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs
Example #3
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From MAX-Object-Detector with Apache License 2.0 | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs
Example #4
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From g-tensorflow-models with Apache License 2.0 | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs
Example #5
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From models with Apache License 2.0 | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs
Example #6
Source File: ssd_mobilenet_v1_fpn_feature_extractor.py From multilabel-image-classification-tensorflow with MIT License | 5 votes |
def _create_modified_mobilenet_config(): conv_defs = copy.deepcopy(mobilenet_v1.MOBILENETV1_CONV_DEFS) conv_defs[-2] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=2, depth=512) conv_defs[-1] = mobilenet_v1.DepthSepConv(kernel=[3, 3], stride=1, depth=256) return conv_defs