PROSAGA码农传奇-深度学习-ssdlite_mobilenet_v2_coco.config中的min

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    <a href="https://i.stack.imgur.com/GwW7D.png" rel="nofollow noreferrer">
      <img src =“https://i.stack.imgur.com/GwW7D.png”alt =“多分辨率功能图”/>
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    此参数表示由特征提取器生成的每个输出特征映射的最小深度。我们知道SSD使用多分辨率特征映射来帮助检测多个尺度的对象。将其更改为较小的值不一定会使深度更短，因为深度也受到控制
     <code>
      depth_multiplier
    </code>
     如图所示
    <a href="https://github.com/tensorflow/models/blob/8367cf6dabe11adf7628541706b660821f397dce/research/object_detection/models/feature_map_generators.py#L33" rel="nofollow noreferrer">
      这个功能
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    。因此，对于每个额外的要素图层，如图所示，这两个参数将控制它的深度。更多细节在课堂上指定
    <a href="https://github.com/tensorflow/models/blob/8367cf6dabe11adf7628541706b660821f397dce/research/object_detection/models/feature_map_generators.py#L49" rel="nofollow noreferrer">
      KerasMultiResolutionFeatureMaps
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     和功能
    <a href="https://github.com/tensorflow/models/blob/8367cf6dabe11adf7628541706b660821f397dce/research/object_detection/models/feature_map_generators.py#L268" rel="nofollow noreferrer">
       <code>
        multi_resolution_feature_maps
      </code>
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ssdlite_mobilenet_v2_coco.config中的min_depth有什么作用？