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- import cv2
- import numpy as np
- import os
- import sys
- sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
- from src.utils import binarize
- # 创建存储图像的文件夹
- gamma = 2.97
- # gamma = 1
- returned_folder = 'imgs/returned_grayscales_'+str(gamma)
- mask = binarize(cv2.imread(os.path.join('imgs/grayscale_images_1', 'white.bmp'), cv2.IMREAD_GRAYSCALE))
- # 生成256张灰度图
- error = 0
- for i in range(256):
- # 创建一个全为i的图像，大小为100x100（可以根据需要调整大小）
- returned_filename = os.path.join(returned_folder, f'0_frame_{i}.bmp')
- returned_img = cv2.imread(returned_filename, cv2.IMREAD_GRAYSCALE)
- returned_brightness_value = np.mean(np.ma.masked_array(returned_img, mask=~mask))/255.0
- print(returned_brightness_value, i/255.0)
- error += np.sum(np.abs(returned_brightness_value - i/255.0))
- print("256张error:", error*255.0/256.0)
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