old_contents: import cv2
  import numpy as np
  
  from Calibration import Calibration
  
  class ToneMapping:
      def __init__(self):
          self.tome_mapper = cv2.createTonemap(gamma=1)
  
      def map(self, img):
          return self.tome_mapper.process(img)
  
  img = cv2.imread('../pic_whitepaper/180.JPG', cv2.IMREAD_COLOR)
  c = Calibration()
  img2 = np.zeros(img.shape,np.float32)
  for i in range(0,img.shape[0]):
      for j in range(0,img.shape[1]):
          img2[i,j] = c.get_true_b(img[i,j])
  t = ToneMapping()
  img3 = t.map(img2)
  img4 = np.clip(img3*255, 0, 255).astype('uint8')
  cv2.imwrite("test.jpg",img4)
new_contents: import cv2
  import numpy as np
  
  from Calibration import Calibration
  
  class ToneMapping:
      def __init__(self):
          self.tome_mapper = cv2.createTonemapDurand(gamma=2.2)
  
      def map(self, img):
          return self.tome_mapper.process(img)
  
  img = cv2.imread('../pic_whitepaper/180.JPG', cv2.IMREAD_COLOR)
  c = Calibration()
  img2 = np.zeros(img.shape,np.float32)
  for i in range(0,img.shape[0]):
      for j in range(0,img.shape[1]):
          img2[i,j] = c.get_true_b(img[i,j])
  t = ToneMapping()
  img3 = t.map(img2)
  img4 = np.clip(img3*255, 0, 255).astype('uint8')
  cv2.imwrite("test.jpg",img4)
subject: adjust parameter