class_docstr: Load an image from webcam.
  
  Similar with :obj:`LoadImageFromFile`, but the image read from webcam is in
  ``results['img']``.
class_docstr_tok: ["Load","an","image","from","webcam",".","Similar","with",":","obj",":","`","LoadImageFromFile","`",",","but","the","image","read","from","webcam","is","in","``","results","[","'img","'","]","``","."]
docstr: Call functions to add image meta information.
  
  Args:
      results (dict): Result dict with Webcam read image in
          ``results['img']``.
  
  Returns:
      dict: The dict contains loaded image and meta information.
docstr_tok: ["Call","functions","to","add","image","meta","information",".","Args",":","results","(","dict",")",":","Result","dict","with","Webcam","read","image","in","``","results","[","'img","'","]","``",".","Returns",":","dict",":","The","dict","contains","loaded","image","and","meta","information","."]
code: def __call__(self, results):
      """Call functions to add image meta information.
  
      Args:
          results (dict): Result dict with Webcam read image in
              ``results['img']``.
  
      Returns:
          dict: The dict contains loaded image and meta information.
      """
  
      img = results["img"]
      if self.to_float32:
          img = img.astype(np.float32)
  
      results["filename"] = None
      results["ori_filename"] = None
      results["img"] = img
      results["img_shape"] = img.shape
      results["ori_shape"] = img.shape
      results["img_fields"] = ["img"]
      return results
  
imports: import os.path
  import mmcv
  import numpy
  import pycocotools.mask
  from mmdet.core import BitmapMasks, PolygonMasks
  from ..builder import PIPELINES
label_desc: Use image node_id 1 for calling the LoadImageFromWebcam obj's underlying member method code with example usage: obj.__call__(results) and returns: results