code: def detect_from_batch(self, tensor):
      image_size = 256 if self.back_model else 128
      bboxlists = batch_detect(
          self.face_detector,
          tensor,
          target_size=image_size,
          device=self.device,
      )
      return bboxlists
  
file_path: face-alignment/face_alignment/detection/blazeface/blazeface_detector.py
imports: from torch.utils.model_zoo import load_url
  from ..core import FaceDetector
  from ...utils import load_file_from_url
  from .net_blazeface import BlazeFace
  from .detect import *
label_desc: Use image node_id 3 for calling the BlazeFaceDetector obj's underlying member method code with example usage: obj.detect_from_batch(tensor) and returns: bboxlists