本文整理汇总了Python中maskrcnn_benchmark.modeling.make_layers.make_fc方法的典型用法代码示例。如果您正苦于以下问题：Python make_layers.make_fc方法的具体用法？Python make_layers.make_fc怎么用？Python make_layers.make_fc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.make_layers的用法示例。
在下文中一共展示了make_layers.make_fc方法的4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 import make_layers [as 别名]
# 或者: from maskrcnn_benchmark.modeling.make_layers import make_fc [as 别名]
def __init__(self, cfg, in_channels):
super(FPN2MLPFeatureExtractor, self).__init__()
resolution = cfg.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
scales = cfg.MODEL.ROI_BOX_HEAD.POOLER_SCALES
sampling_ratio = cfg.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
pooler = Pooler(
output_size=(resolution, resolution),
scales=scales,
sampling_ratio=sampling_ratio,
)
input_size = in_channels * resolution ** 2
representation_size = cfg.MODEL.ROI_BOX_HEAD.MLP_HEAD_DIM
use_gn = cfg.MODEL.ROI_BOX_HEAD.USE_GN
self.pooler = pooler
self.fc6 = make_fc(input_size, representation_size, use_gn)
self.fc7 = make_fc(representation_size, representation_size, use_gn)
self.out_channels = representation_size 示例2: __init__
# 需要导入模块: from maskrcnn_benchmark.modeling import make_layers [as 别名]
# 或者: from maskrcnn_benchmark.modeling.make_layers import make_fc [as 别名]
def __init__(self, cfg):
super(FPN2MLPFeatureExtractor, self).__init__()
resolution = cfg.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
scales = cfg.MODEL.ROI_BOX_HEAD.POOLER_SCALES
sampling_ratio = cfg.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
pooler = PyramidRROIAlign(
output_size=(resolution, resolution),
scales=scales,
)
input_size = cfg.MODEL.BACKBONE.OUT_CHANNELS * resolution ** 2
representation_size = cfg.MODEL.ROI_BOX_HEAD.MLP_HEAD_DIM
use_gn = cfg.MODEL.ROI_BOX_HEAD.USE_GN
self.pooler = pooler
self.fc6 = make_fc(input_size, representation_size, use_gn)
self.fc7 = make_fc(representation_size, representation_size, use_gn) 示例3: __init__
# 需要导入模块: from maskrcnn_benchmark.modeling import make_layers [as 别名]
# 或者: from maskrcnn_benchmark.modeling.make_layers import make_fc [as 别名]
def __init__(self, cfg):
super(FPN2MLPFeatureExtractor, self).__init__()
resolution = cfg.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
scales = cfg.MODEL.ROI_BOX_HEAD.POOLER_SCALES
sampling_ratio = cfg.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
pooler = Pooler(
output_size=(resolution, resolution),
scales=scales,
sampling_ratio=sampling_ratio,
)
input_size = cfg.MODEL.BACKBONE.OUT_CHANNELS * resolution ** 2
representation_size = cfg.MODEL.ROI_BOX_HEAD.MLP_HEAD_DIM
use_gn = cfg.MODEL.ROI_BOX_HEAD.USE_GN
self.pooler = pooler
self.fc6 = make_fc(input_size, representation_size, use_gn)
self.fc7 = make_fc(representation_size, representation_size, use_gn) 示例4: __init__
# 需要导入模块: from maskrcnn_benchmark.modeling import make_layers [as 别名]
# 或者: from maskrcnn_benchmark.modeling.make_layers import make_fc [as 别名]
def __init__(self, cfg, in_channels):
super(FPN2MLPFeatureExtractor, self).__init__()
resolution = cfg.MODEL.ROI_BOX_HEAD.POOLER_RESOLUTION
scales = cfg.MODEL.ROI_BOX_HEAD.POOLER_SCALES
sampling_ratio = cfg.MODEL.ROI_BOX_HEAD.POOLER_SAMPLING_RATIO
# ##################### changed by hui #################################
level_map = cfg.MODEL.ROI_BOX_HEAD.POOLER_LEVEL_MAP
level_map_kwargs = cfg.MODEL.ROI_BOX_HEAD.POOLER_LEVEL_MAP_KWARGS
pooler = Pooler(
output_size=(resolution, resolution),
scales=scales,
sampling_ratio=sampling_ratio,
level_map=level_map,
level_map_kwargs=level_map_kwargs
)
# ########################################################################
input_size = in_channels * resolution ** 2
representation_size = cfg.MODEL.ROI_BOX_HEAD.MLP_HEAD_DIM
use_gn = cfg.MODEL.ROI_BOX_HEAD.USE_GN
self.pooler = pooler
self.fc6 = make_fc(input_size, representation_size, use_gn)
self.fc7 = make_fc(representation_size, representation_size, use_gn)
self.out_channels = representation_size