class_docstr: RCNN bbox head with Two fc layers to extract feature
  
  Args:
      in_channel (int): Input channel which can be derived by from_config
      out_channel (int): Output channel
      resolution (int): Resolution of input feature map, default 7
class_docstr_tok: ["RCNN","bbox","head","with","Two","fc","layers","to","extract","feature","Args",":","in_channel","(","int",")",":","Input","channel","which","can","be","derived","by","from_config","out_channel","(","int",")",":","Output","channel","resolution","(","int",")",":","Resolution","of","input","feature","map",",","default","7"]
code: def out_shape(self):
      return [
          ShapeSpec(
              channels=self.out_channel,
          )
      ]
  
imports: import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import Normal, XavierUniform, KaimingNormal
  from paddle.regularizer import L2Decay
  from ppdet.core.workspace import register, create
  from .roi_extractor import RoIAlign
  from ..shape_spec import ShapeSpec
  from ..bbox_utils import bbox2delta
  from ..cls_utils import _get_class_default_kwargs
  from ppdet.modeling.layers import ConvNormLayer
label_desc: Use image node_id 3 for calling the TwoFCHead obj's underlying member method code with example usage: obj.out_shape() and returns: list