class_docstr: Feature extractor based on ResNet (or others) backbones.
class_docstr_tok: ["Feature","extractor","based","on","ResNet","(","or","others",")","backbones","."]
code: def extract_features(self, img, **kwargs):
      self.feature_extractor.eval()
      return self.feature_extractor(img)
  
file_path: anomalib/src/anomalib/models/uflow/feature_extraction.py
imports: from typing import Tuple
  import timm
  import torch
  import torch.nn.functional
  from torch import nn
  from anomalib.models.components.feature_extractors import TimmFeatureExtractor
label_desc: Use image node_id 3 for calling the FeatureExtractor obj's underlying member method code with example usage: obj.extract_features(img) and returns: self