Python resnet.ResNetHead方法代码示例

本文整理汇总了Python中maskrcnn_benchmark.modeling.backbone.resnet.ResNetHead方法的典型用法代码示例。如果您正苦于以下问题：Python resnet.ResNetHead方法的具体用法？Python resnet.ResNetHead怎么用？Python resnet.ResNetHead使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类maskrcnn_benchmark.modeling.backbone.resnet的用法示例。

在下文中一共展示了resnet.ResNetHead方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config):
        super(ResNet50Conv5ROIFeatureExtractor, self).__init__()

        resolution = config.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_BOX_HEAD.POOLER_SCALES
        sampling_ratio = config.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
        pooler = PyramidRROIAlign(
            output_size=(resolution, resolution),
            scales=scales,
        )

        stage = resnet.StageSpec(index=4, block_count=3, return_features=False)
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
            dilation=config.MODEL.RESNETS.RES5_DILATION
        )

        self.pooler = pooler
        self.head = head

开发者ID:clw5180，项目名称:remote_sensing_object_detection_2019，代码行数:27，代码来源:roi_box_feature_extractors.py

示例2: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config):
        super(ResNet50Conv5ROIFeatureExtractor, self).__init__()

        resolution = config.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_BOX_HEAD.POOLER_SCALES
        sampling_ratio = config.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
        pooler = Pooler(
            output_size=(resolution, resolution),
            scales=scales,
            sampling_ratio=sampling_ratio,
        )

        stage = resnet.StageSpec(index=4, block_count=3, return_features=False)
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
        )

        self.pooler = pooler
        self.head = head

开发者ID:HRNet，项目名称:HRNet-MaskRCNN-Benchmark，代码行数:27，代码来源:roi_box_feature_extractors.py

示例3: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config, in_channels):
        super(ResNet50Conv5ROIFeatureExtractor, self).__init__()

        resolution = config.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_BOX_HEAD.POOLER_SCALES
        sampling_ratio = config.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
        pooler = Pooler(
            output_size=(resolution, resolution),
            scales=scales,
            sampling_ratio=sampling_ratio,
        )

        stage = resnet.StageSpec(index=4, block_count=3, return_features=False)
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
            dilation=config.MODEL.RESNETS.RES5_DILATION
        )

        self.pooler = pooler
        self.head = head
        self.out_channels = head.out_channels

开发者ID:Res2Net，项目名称:Res2Net-maskrcnn，代码行数:29，代码来源:roi_box_feature_extractors.py

示例4: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config):
        super(ResNet50Conv5ROIFeatureExtractor, self).__init__()

        resolution = config.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_BOX_HEAD.POOLER_SCALES
        sampling_ratio = config.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
        pooler = Pooler(
            output_size=(resolution, resolution),
            scales=scales,
            sampling_ratio=sampling_ratio,
        )

        stage = resnet.StageSpec(index=4, block_count=3, return_features=False)
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
            dilation=config.MODEL.RESNETS.RES5_DILATION
        )

        self.pooler = pooler
        self.head = head

开发者ID:clw5180，项目名称:remote_sensing_object_detection_2019，代码行数:28，代码来源:roi_box_feature_extractors.py

示例5: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config):
        super(ResNet50Conv5RecFeatureExtractor, self).__init__()
        # reso: [H, W]
        resolution = config.MODEL.ROI_REC_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_REC_HEAD.POOLER_SCALES
        pooler = PyramidRROIAlign(
            output_size=resolution,
            scales=scales,
        )

        self.word_margin = config.MODEL.ROI_REC_HEAD.BOXES_MARGIN
        self.det_margin = config.MODEL.RRPN.GT_BOX_MARGIN

        self.rescale = self.word_margin / self.det_margin

        # stage = resnet.StageSpec(index=4, block_count=3, return_features=False)
        '''
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
            dilation=config.MODEL.RESNETS.RES5_DILATION
        )
        '''
        self.pooler = pooler
        # self.head = head

开发者ID:clw5180，项目名称:remote_sensing_object_detection_2019，代码行数:32，代码来源:roi_rec_feature_extractors.py

示例6: init

# 需要导入模块: from maskrcnn_benchmark.modeling.backbone import resnet [as 别名]
# 或者: from maskrcnn_benchmark.modeling.backbone.resnet import ResNetHead [as 别名]
def __init__(self, config, in_channels):
        super(ResNet50Conv5ROIFeatureExtractor, self).__init__()

        resolution = config.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
        scales = config.MODEL.ROI_BOX_HEAD.POOLER_SCALES
        sampling_ratio = config.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
        pooler = Pooler(
            output_size=(resolution, resolution),
            scales=scales,
            sampling_ratio=sampling_ratio,
        )

        index = int(config.MODEL.BACKBONE.CONV_BODY.split('R-50-C')[1])                   # add by hui
        stage = resnet.StageSpec(index=index, block_count=3, return_features=False)
        head = resnet.ResNetHead(
            block_module=config.MODEL.RESNETS.TRANS_FUNC,
            stages=(stage,),
            num_groups=config.MODEL.RESNETS.NUM_GROUPS,
            width_per_group=config.MODEL.RESNETS.WIDTH_PER_GROUP,
            stride_in_1x1=config.MODEL.RESNETS.STRIDE_IN_1X1,
            stride_init=None,
            res2_out_channels=config.MODEL.RESNETS.RES2_OUT_CHANNELS,
            dilation=config.MODEL.RESNETS.RES5_DILATION
        )

        self.pooler = pooler
        self.head = head
        self.out_channels = head.out_channels

开发者ID:ucas-vg，项目名称:TinyBenchmark，代码行数:30，代码来源:roi_box_feature_extractors.py

注：本文中的maskrcnn_benchmark.modeling.backbone.resnet.ResNetHead方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

示例1: __init__

示例2: __init__

示例3: __init__

示例4: __init__