code: def get_feat(self, imgs):
      if not isinstance(imgs, list):
          imgs = [imgs]
      input_size = self.input_size
  
      blob = cv2.dnn.blobFromImages(
          imgs,
          1.0 / self.input_std,
          input_size,
          (self.input_mean, self.input_mean, self.input_mean),
          swapRB=True,
      )
      net_out = self.session.run(
          self.output_names, {self.input_name: blob}
      )[0]
      return net_out
  
file_path: insightface/web-demos/src_recognition/arcface_onnx.py
imports: import numpy
  import cv2
  import onnx
  import onnxruntime
  import face_align
label_desc: Use image node_id 5 for calling the ArcFaceONNX obj's underlying member method code with example usage: obj.get_feat(imgs) and returns: net_out