code: def from_config(cls, cfg, input_shape):
      return {
          "in_channels": [i.channels for i in input_shape],
      }
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ..losses import ProbIoULoss
  from ..initializer import bias_init_with_prob, constant_, normal_, vector_
  from ppdet.modeling.backbones.cspresnet import ConvBNLayer
  from ppdet.modeling.ops import get_static_shape, get_act_fn, anchor_generator
  from ppdet.modeling.layers import MultiClassNMS
label_desc: Use image node_id 2 for calling the PPYOLOERHead obj's underlying member method code with example usage: obj.from_config(cls, cfg, input_shape) and returns: dict