A图：
B图：
拼接后：
import os import numpy as np import PIL from PIL import Image dirname_read_A = "D:\paper\\3low_light_image\dataset\\train_translste_model_data\image_translate\\trainA_concat\\" names_A=os.listdir(dirname_read_A) names_A.sort(key= lambda x:int(x[:-6])) dirname_read_B = "D:\paper\\3low_light_image\dataset\\train_translste_model_data\image_translate\\trainB_concat\\" names_B=os.listdir(dirname_read_B) names_B.sort(key= lambda x:int(x[:-6])) k = 1 for i in range(2940): imgA = dirname_read_A + names_A[i] imgB = dirname_read_B + names_B[i] imgA = Image.open(imgA) imgB = Image.open(imgB) img_array_A = np.array(imgA) img_array_B = np.array(imgB) img_array_AB = np.hstack((img_array_A, img_array_B)) # print(img_array_A.shape) # print(img_array_B.shape) print(img_array_AB.shape) imgAB = Image.fromarray(img_array_AB.astype('uint8')).convert('RGB') imgAB.save(str(k) + '.jpg') k = k + 1承接Matlab、Python和C++的编程，机器学习、计算机视觉的理论实现及辅导，本科和硕士的均可，详谈请联系QQ号757160542
