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| # Copyright (C) 2022-present Naver Corporation. All rights reserved. | |
| # Licensed under CC BY-NC-SA 4.0 (non-commercial use only). | |
| import os | |
| from torch.utils.data import Dataset | |
| from PIL import Image | |
| from datasets.transforms import get_pair_transforms | |
| def load_image(impath): | |
| return Image.open(impath) | |
| def load_pairs_from_cache_file(fname, root=''): | |
| assert os.path.isfile(fname), "cannot parse pairs from {:s}, file does not exist".format(fname) | |
| with open(fname, 'r') as fid: | |
| lines = fid.read().strip().splitlines() | |
| pairs = [ (os.path.join(root,l.split()[0]), os.path.join(root,l.split()[1])) for l in lines] | |
| return pairs | |
| def load_pairs_from_list_file(fname, root=''): | |
| assert os.path.isfile(fname), "cannot parse pairs from {:s}, file does not exist".format(fname) | |
| with open(fname, 'r') as fid: | |
| lines = fid.read().strip().splitlines() | |
| pairs = [ (os.path.join(root,l+'_1.jpg'), os.path.join(root,l+'_2.jpg')) for l in lines if not l.startswith('#')] | |
| return pairs | |
| def write_cache_file(fname, pairs, root=''): | |
| if len(root)>0: | |
| if not root.endswith('/'): root+='/' | |
| assert os.path.isdir(root) | |
| s = '' | |
| for im1, im2 in pairs: | |
| if len(root)>0: | |
| assert im1.startswith(root), im1 | |
| assert im2.startswith(root), im2 | |
| s += '{:s} {:s}\n'.format(im1[len(root):], im2[len(root):]) | |
| with open(fname, 'w') as fid: | |
| fid.write(s[:-1]) | |
| def parse_and_cache_all_pairs(dname, data_dir='./data/'): | |
| if dname=='habitat_release': | |
| dirname = os.path.join(data_dir, 'habitat_release') | |
| assert os.path.isdir(dirname), "cannot find folder for habitat_release pairs: "+dirname | |
| cache_file = os.path.join(dirname, 'pairs.txt') | |
| assert not os.path.isfile(cache_file), "cache file already exists: "+cache_file | |
| print('Parsing pairs for dataset: '+dname) | |
| pairs = [] | |
| for root, dirs, files in os.walk(dirname): | |
| if 'val' in root: continue | |
| dirs.sort() | |
| pairs += [ (os.path.join(root,f), os.path.join(root,f[:-len('_1.jpeg')]+'_2.jpeg')) for f in sorted(files) if f.endswith('_1.jpeg')] | |
| print('Found {:,} pairs'.format(len(pairs))) | |
| print('Writing cache to: '+cache_file) | |
| write_cache_file(cache_file, pairs, root=dirname) | |
| else: | |
| raise NotImplementedError('Unknown dataset: '+dname) | |
| def dnames_to_image_pairs(dnames, data_dir='./data/'): | |
| """ | |
| dnames: list of datasets with image pairs, separated by + | |
| """ | |
| all_pairs = [] | |
| for dname in dnames.split('+'): | |
| if dname=='habitat_release': | |
| dirname = os.path.join(data_dir, 'habitat_release') | |
| assert os.path.isdir(dirname), "cannot find folder for habitat_release pairs: "+dirname | |
| cache_file = os.path.join(dirname, 'pairs.txt') | |
| assert os.path.isfile(cache_file), "cannot find cache file for habitat_release pairs, please first create the cache file, see instructions. "+cache_file | |
| pairs = load_pairs_from_cache_file(cache_file, root=dirname) | |
| elif dname in ['ARKitScenes', 'MegaDepth', '3DStreetView', 'IndoorVL']: | |
| dirname = os.path.join(data_dir, dname+'_crops') | |
| assert os.path.isdir(dirname), "cannot find folder for {:s} pairs: {:s}".format(dname, dirname) | |
| list_file = os.path.join(dirname, 'listing.txt') | |
| assert os.path.isfile(list_file), "cannot find list file for {:s} pairs, see instructions. {:s}".format(dname, list_file) | |
| pairs = load_pairs_from_list_file(list_file, root=dirname) | |
| print(' {:s}: {:,} pairs'.format(dname, len(pairs))) | |
| all_pairs += pairs | |
| if '+' in dnames: print(' Total: {:,} pairs'.format(len(all_pairs))) | |
| return all_pairs | |
| class PairsDataset(Dataset): | |
| def __init__(self, dnames, trfs='', totensor=True, normalize=True, data_dir='./data/'): | |
| super().__init__() | |
| self.image_pairs = dnames_to_image_pairs(dnames, data_dir=data_dir) | |
| self.transforms = get_pair_transforms(transform_str=trfs, totensor=totensor, normalize=normalize) | |
| def __len__(self): | |
| return len(self.image_pairs) | |
| def __getitem__(self, index): | |
| im1path, im2path = self.image_pairs[index] | |
| im1 = load_image(im1path) | |
| im2 = load_image(im2path) | |
| if self.transforms is not None: im1, im2 = self.transforms(im1, im2) | |
| return im1, im2 | |
| if __name__=="__main__": | |
| import argparse | |
| parser = argparse.ArgumentParser(prog="Computing and caching list of pairs for a given dataset") | |
| parser.add_argument('--data_dir', default='./data/', type=str, help="path where data are stored") | |
| parser.add_argument('--dataset', default='habitat_release', type=str, help="name of the dataset") | |
| args = parser.parse_args() | |
| parse_and_cache_all_pairs(dname=args.dataset, data_dir=args.data_dir) | |