1. 利用txt索引图像路径进行逐一测试

import os

from PIL import Image

VOCdevkit_path  = 'VOCdevkit'

image_ids=open(os.path.join(VOCdevkit_path,"VOC2007/ImageSSegmentation/val.txt"),'r').read().splitlines()  

for image_id in image_ids:

      image_path = os.path.join(VOCdevkit_path,"VOC2007/JPEGImages/"+image_id+".jpg")

      image = Image.open(image_path)
      image = deeplab.get_miou_png(image)
      image.save(os.path.join(pred_dir, image_id + ".png")))

说明：

VOCdevkit_path = r'E:\All directions of the project team\语义分割\deeplabv3-plus-pytorch-main\VOCdevkit'

image_ids  =open(os.path.join(VOCdevkit_path,"VOC2007/ImageSets/Segmentation/val.txt"),'r').read().splitlines()   # 返回一个list,没有\n

image_ids  =open(os.path.join(VOCdevkit_path,"VOC2007/ImageSets/Segmentation/val.txt"),'r').readlines()  # 返回一个list,有\nimage_ids  =open(os.path.join(VOCdevkit_path,"VOC2007/ImageSets/Segmentation/val.txt"),'r').readlines().strip()   # 返回一个list,没有\n

2. 目录下的图像进行逐一测试

image_ids = os.listdir(VOCdevkit_path)

for image_id in image_ids:

      image_path = os.path.join(VOCdevkit_path,"VOC2007/JPEGImages/"+image_id+".jpg")

      image = Image.open(image_path)
      image = deeplab.get_miou_png(image)
      image.save(os.path.join(pred_dir, image_id + ".png")))