class_docstr: SF3D Detector.
      
class_docstr_tok: ["SF3D","Detector","."]
code: def detect_from_image(self, tensor_or_path):
      image = self.tensor_or_path_to_ndarray(tensor_or_path)
  
      bboxlist = detect(self.face_detector, image, device=self.device)[
          0
      ]
      bboxlist = self._filter_bboxes(bboxlist)
  
      return bboxlist
  
file_path: face-alignment/face_alignment/detection/sfd/sfd_detector.py
imports: import torch
  from torch.utils.model_zoo import load_url
  from ..core import FaceDetector
  from .net_s3fd import s3fd
  from .bbox import nms
  from .detect import detect, batch_detect
label_desc: Use image node_id 3 for calling the SFDDetector obj's underlying member method code with example usage: obj.detect_from_image(tensor_or_path) and returns: bboxlist