import os import numpy as np # # name:txt文件名 # rootdir:根路径 # metaimage:原始图像路径 # imglabel:标签图像路径 # def write_to_txt(name, root_dir, metaimage, imglabel): txt_path = root_dir + name + ‘.txt‘ txt = open(txt_path, ‘w‘) for (i,j) in zip(metaimage,imglabel): image_dir = os.path.join(str(i)) # image_dir = os.path.join(‘./data/metaimage/‘, str(i)) label_dir = os.path.join(str(j)) # label_dir = os.path.join(‘./data/imglabel/‘, str(j)) # 截取文件名 txt.write(image_dir[0:-4] + ‘\n‘) txt.write(label_dir[0:-4] + ‘\n‘) def read_image(path1, path2): filelist1 = os.listdir(path1) meta_image = np.array([file for file in filelist1 if file.endswith(‘.jpg‘)], dtype=object) print("-------len(metaimage):", len(meta_image)) filelist2 = os.listdir(path2) img_label = np.array([file for file in filelist2 if file.endswith(‘.png‘)], dtype=object) print("-------len(imglabel):", len(img_label)) return meta_image, img_label path1 = r‘data/VOCtrainval_11-May-2012/VOCdevkit/Meta/JPEGImages‘ path2 = r‘data/VOCtrainval_11-May-2012/VOCdevkit/Meta/SegmentationClass‘ metaimage, imglabel = read_image(path1, path2) write_to_txt(‘train‘, ‘./data/‘, metaimage, imglabel)
原文:https://www.cnblogs.com/dyc99/p/12677194.html