class_docstr: Encoder Decoder depther.
  
  EncoderDecoder typically consists of backbone and decode_head.
class_docstr_tok: ["Encoder","Decoder","depther",".","EncoderDecoder","typically","consists","of","backbone","and","decode_head","."]
docstr: Extract features from images.
docstr_tok: ["Extract","features","from","images","."]
code: def extract_feat(self, img):
      """Extract features from images."""
      return self.backbone(img)
  
imports: from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from .ops import resize
label_desc: Use image node_id 2 for calling the DepthEncoderDecoder obj's underlying member method code with example usage: obj.extract_feat(img) and returns: self