**方法一：** import scipy.io import numpy as np import cv2 import os input_folder = 'D:\daima\CrackForest-dataset-master\CrackForest-dataset-master\groundTruth' # 输出文件夹路径 output_folder = 'D:\daima\CrackForest-dataset-master\CrackForest-dataset-master\png' # 遍历文件夹中的.mat文件 for filename in os.listdir(input_folder): if filename.endswith('.mat'): print(filename) # 构建完整的文件路径 mat_filepath = os.path.join(input_folder, filename) # 从.mat文件中加载数据 mat = scipy.io.loadmat(mat_filepath) np_seg = mat['groundTruth'][0][0][0] (y, x) = np.where(np_seg == 2) np_seg[y, x] = 255 (y, x) = np.where(np_seg == 1) np_seg[y, x] = 0 cv2.imwrite("{}\{}{}".format(output_folder,filename[:-4],'.png'), np_seg) **方法二中只需加入一个for循环即可达到与法一一样的效果** import scipy.io import numpy as np import cv2 mat = scipy.io.loadmat(r'D:\daima\CrackForest-dataset-master\CrackForest-dataset-master\groundTruth\001.mat') np_seg = mat['groundTruth'][0][0][0] (y, x) = np.where(np_seg == 2) np_seg[y, x] = 255 (y, x) = np.where(np_seg == 1) np_seg[y, x] = 0 cv2.imwrite(r'D:\daima\CrackForest-dataset-master\CrackForest-dataset-master\png.png', np_seg) print()
标签：mat,dataset,seg,master,CrackForest,np,格式,png From： https://www.cnblogs.com/candice1/p/18319483