class_docstr: A Darknet based feature extractor for YOLOv2Tiny.
  
  
  This is a feature extractor for
  :class:`~chainercv.links.model.yolo.YOLOv2Tiny`
class_docstr_tok: ["A","Darknet","based","feature","extractor","for","YOLOv2Tiny",".","This","is","a","feature","extractor","for",":","class",":","`","~chainercv.links.model.yolo.YOLOv2Tiny","`"]
code: def __init__(self):
      super(DarknetExtractor, self).__init__()
  
      # Darknet
      for k in range(7):
          self.append(
              Conv2DBNActiv(16 << k, 3, pad=1, activ=_leaky_relu)
          )
  
      # additional link
      self.append(Conv2DBNActiv(1024, 3, pad=1, activ=_leaky_relu))
  
file_path: chainercv/chainercv/experimental/links/model/yolo/yolo_v2_tiny.py
imports: import chainer
  from chainercv.links import Conv2DBNActiv
  from chainercv.links.model.yolo.yolo_v2 import _leaky_relu
  from chainercv.links.model.yolo.yolo_v2 import _maxpool
  from chainercv.links.model.yolo import YOLOv2Base
label_desc: Use image node_id 1 to create a new DarknetExtractor object from inherited base classes: chainer with example: obj = DarknetExtractor()