import PIL.Image as Image
import os
 
IMAGES_PATH = 'E:/gyx/Learning/Practice/4/data/market1501_seg_1/test/ori_img/' # 原图片集地址
IMAGES_PATH_1 = 'E:/gyx/Learning/Practice/4/data/market1501_seg_1/test/seg_img/' #分割图片集地址
IMAGE_SAVE_PATH = 'E:/gyx/Learning/Practice/4/data/market1501_seg_1/test/new/' #保存新图片地址
IMAGES_FORMAT = ['.jpg', '.JPG'] # 图片格式
list_n = []
w = 256 # 每张小图片的大小
h = 128
 
# 获取图片集地址下的所有图片名称
image_names = [name for name in os.listdir(IMAGES_PATH) for item in IMAGES_FORMAT if
 os.path.splitext(name)[1] == item]
 
image_names_1 = [name for name in os.listdir(IMAGES_PATH_1) for item in IMAGES_FORMAT if
 os.path.splitext(name)[1] == item]
 
# 定义图像拼接函数
def image_compose(imag,imag_1):
 src = os.path.join(os.path.abspath(IMAGE_SAVE_PATH), img)
 to_image = Image.new('RGB', (2 * h, 1 * w)) # 创建一个新图
 # 把两张图片按顺序粘贴到对应位置上
 rom_image = Image.open(IMAGES_PATH + imag).resize((h,w), Image.ANTIALIAS)
 rom_image_1 = Image.open(IMAGES_PATH_1 + imag_1).resize((h, w), Image.ANTIALIAS)
 to_image.paste(rom_image,(0,0))
 to_image.paste(rom_image_1,(h,0))
 to_image.save(src) # 保存新图，还是原来的名称
 
#文件名相同就调用拼接函数
for img in image_names:
 for img_1 in image_names_1:
 if img == img_1:
 image_compose(img,img_1)