code: def ycbcr2bgr(img):
      """Convert a YCbCr image to BGR image.
  
      The bgr version of ycbcr2rgb.
      It implements the ITU-R BT.601 conversion for standard-definition
      television. See more details in
      https://en.wikipedia.org/wiki/YCbCr#ITU-R_BT.601_conversion.
  
      It differs from a similar function in cv2.cvtColor: `YCrCb <-> BGR`.
      In OpenCV, it implements a JPEG conversion. See more details in
      https://en.wikipedia.org/wiki/YCbCr#JPEG_conversion.
  
      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 BGR image. The output image has the same type
              and range as input image.
      """
      img_type = img.dtype
      img = _convert_input_type_range(img) * 255
      out_img = np.matmul(
          img,
          [
              [0.00456621, 0.00456621, 0.00456621],
              [0.00791071, -0.00153632, 0],
              [0, -0.00318811, 0.00625893],
          ],
      ) * 255.0 + [-276.836, 135.576, -222.921]
      out_img = _convert_output_type_range(out_img, img_type)
      return out_img
  
file_path: lavis/lavis/common/annotator/uniformer/mmcv/image/colorspace.py
imports: import cv2
  import numpy
label_desc: Use image node_id 11 for calling a global function with example usage: ycbcr2bgr(img) and returns: out_img