code: def _convert_input_type_range(img):
      """Convert the type and range of the input image.
  
      It converts the input image to np.float32 type and range of [0, 1].
      It is mainly used for pre-processing the input image in colorspace
      conversion functions such as rgb2ycbcr and ycbcr2rgb.
  
      Args:
          img (ndarray): The input image. It accepts:
              1. np.uint8 type with range [0, 255];
              2. np.float32 type with range [0, 1].
  
      Returns:
          (ndarray): The converted image with type of np.float32 and range of
              [0, 1].
      """
      img_type = img.dtype
      img = img.astype(np.float32)
      if img_type == np.float32:
          pass
      elif img_type == np.uint8:
          img /= 255.0
      else:
          raise TypeError(
              "The img type should be np.float32 or np.uint8, "
              f"but got {img_type}"
          )
      return img
  
file_path: lavis/lavis/common/annotator/uniformer/mmcv/image/colorspace.py
imports: import cv2
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: _convert_input_type_range(img) and returns: img