| import os |
| import numpy as np |
| import cv2 |
| import argparse |
| from multiprocessing import Pool |
|
|
|
|
| def image_write(path_A, path_B, path_AB): |
| im_A = cv2.imread(path_A, 1) |
| im_B = cv2.imread(path_B, 1) |
| im_AB = np.concatenate([im_A, im_B], 1) |
| cv2.imwrite(path_AB, im_AB) |
|
|
|
|
| parser = argparse.ArgumentParser('create image pairs') |
| parser.add_argument('--fold_A', dest='fold_A', help='input directory for image A', type=str, default='../dataset/50kshoes_edges') |
| parser.add_argument('--fold_B', dest='fold_B', help='input directory for image B', type=str, default='../dataset/50kshoes_jpg') |
| parser.add_argument('--fold_AB', dest='fold_AB', help='output directory', type=str, default='../dataset/test_AB') |
| parser.add_argument('--num_imgs', dest='num_imgs', help='number of images', type=int, default=1000000) |
| parser.add_argument('--use_AB', dest='use_AB', help='if true: (0001_A, 0001_B) to (0001_AB)', action='store_true') |
| parser.add_argument('--no_multiprocessing', dest='no_multiprocessing', help='If used, chooses single CPU execution instead of parallel execution', action='store_true',default=False) |
| args = parser.parse_args() |
|
|
| for arg in vars(args): |
| print('[%s] = ' % arg, getattr(args, arg)) |
|
|
| splits = os.listdir(args.fold_A) |
|
|
| if not args.no_multiprocessing: |
| pool=Pool() |
|
|
| for sp in splits: |
| img_fold_A = os.path.join(args.fold_A, sp) |
| img_fold_B = os.path.join(args.fold_B, sp) |
| img_list = os.listdir(img_fold_A) |
| if args.use_AB: |
| img_list = [img_path for img_path in img_list if '_A.' in img_path] |
|
|
| num_imgs = min(args.num_imgs, len(img_list)) |
| print('split = %s, use %d/%d images' % (sp, num_imgs, len(img_list))) |
| img_fold_AB = os.path.join(args.fold_AB, sp) |
| if not os.path.isdir(img_fold_AB): |
| os.makedirs(img_fold_AB) |
| print('split = %s, number of images = %d' % (sp, num_imgs)) |
| for n in range(num_imgs): |
| name_A = img_list[n] |
| path_A = os.path.join(img_fold_A, name_A) |
| if args.use_AB: |
| name_B = name_A.replace('_A.', '_B.') |
| else: |
| name_B = name_A |
| path_B = os.path.join(img_fold_B, name_B) |
| if os.path.isfile(path_A) and os.path.isfile(path_B): |
| name_AB = name_A |
| if args.use_AB: |
| name_AB = name_AB.replace('_A.', '.') |
| path_AB = os.path.join(img_fold_AB, name_AB) |
| if not args.no_multiprocessing: |
| pool.apply_async(image_write, args=(path_A, path_B, path_AB)) |
| else: |
| im_A = cv2.imread(path_A, 1) |
| im_B = cv2.imread(path_B, 1) |
| im_AB = np.concatenate([im_A, im_B], 1) |
| cv2.imwrite(path_AB, im_AB) |
| if not args.no_multiprocessing: |
| pool.close() |
| pool.join() |
|
|
