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This commit is contained in:
Xintao
2021-11-23 00:52:00 +08:00
parent c9023b3d7a
commit 35ee6f781e
20 changed files with 194 additions and 102 deletions
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22
realesrgan/data/realesrgan_paired_dataset.py
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@@ -11,8 +11,7 @@ from torchvision.transforms.functional import normalize
class RealESRGANPairedDataset(data.Dataset):
"""Paired image dataset for image restoration.
Read LQ (Low Quality, e.g. LR (Low Resolution), blurry, noisy, etc) and
GT image pairs.
Read LQ (Low Quality, e.g. LR (Low Resolution), blurry, noisy, etc) and GT image pairs.
There are three modes:
1. 'lmdb': Use lmdb files.
@@ -28,8 +27,8 @@ class RealESRGANPairedDataset(data.Dataset):
dataroot_lq (str): Data root path for lq.
meta_info (str): Path for meta information file.
io_backend (dict): IO backend type and other kwarg.
filename_tmpl (str): Template for each filename. Note that the
template excludes the file extension. Default: '{}'.
filename_tmpl (str): Template for each filename. Note that the template excludes the file extension.
Default: '{}'.
gt_size (int): Cropped patched size for gt patches.
use_hflip (bool): Use horizontal flips.
use_rot (bool): Use rotation (use vertical flip and transposing h
@@ -42,25 +41,25 @@ class RealESRGANPairedDataset(data.Dataset):
def __init__(self, opt):
super(RealESRGANPairedDataset, self).__init__()
self.opt = opt
# file client (io backend)
self.file_client = None
self.io_backend_opt = opt['io_backend']
# mean and std for normalizing the input images
self.mean = opt['mean'] if 'mean' in opt else None
self.std = opt['std'] if 'std' in opt else None
self.gt_folder, self.lq_folder = opt['dataroot_gt'], opt['dataroot_lq']
if 'filename_tmpl' in opt:
self.filename_tmpl = opt['filename_tmpl']
else:
self.filename_tmpl = '{}'
self.filename_tmpl = opt['filename_tmpl'] if 'filename_tmpl' in opt else '{}'
# file client (lmdb io backend)
if self.io_backend_opt['type'] == 'lmdb':
self.io_backend_opt['db_paths'] = [self.lq_folder, self.gt_folder]
self.io_backend_opt['client_keys'] = ['lq', 'gt']
self.paths = paired_paths_from_lmdb([self.lq_folder, self.gt_folder], ['lq', 'gt'])
elif 'meta_info' in self.opt and self.opt['meta_info'] is not None:
# disk backend with meta_info
# Each line in the meta_info describes the relative path to an image
with open(self.opt['meta_info']) as fin:
paths = [line.strip() for line in fin]
paths = [line.strip().split(' ')[0] for line in fin]
self.paths = []
for path in paths:
gt_path, lq_path = path.split(', ')
@@ -68,6 +67,9 @@ class RealESRGANPairedDataset(data.Dataset):
lq_path = os.path.join(self.lq_folder, lq_path)
self.paths.append(dict([('gt_path', gt_path), ('lq_path', lq_path)]))
else:
# disk backend
# it will scan the whole folder to get meta info
# it will be time-consuming for folders with too many files. It is recommended using an extra meta txt file
self.paths = paired_paths_from_folder([self.lq_folder, self.gt_folder], ['lq', 'gt'], self.filename_tmpl)
def __getitem__(self, index):