diff options
Diffstat (limited to 'data/aligned_data_loader.py')
| -rw-r--r-- | data/aligned_data_loader.py | 17 |
1 files changed, 11 insertions, 6 deletions
diff --git a/data/aligned_data_loader.py b/data/aligned_data_loader.py index bea3531..a1efde8 100644 --- a/data/aligned_data_loader.py +++ b/data/aligned_data_loader.py @@ -4,19 +4,26 @@ import torchvision.transforms as transforms from data.base_data_loader import BaseDataLoader from data.image_folder import ImageFolder from pdb import set_trace as st +# pip install future --upgrade from builtins import object class PairedData(object): - def __init__(self, data_loader, fineSize): + def __init__(self, data_loader, fineSize, max_dataset_size): self.data_loader = data_loader self.fineSize = fineSize + self.max_dataset_size = max_dataset_size # st() def __iter__(self): self.data_loader_iter = iter(self.data_loader) + self.iter = 0 return self def __next__(self): + self.iter += 1 + if self.iter > self.max_dataset_size: + raise StopIteration + AB, AB_paths = next(self.data_loader_iter) w_total = AB.size(3) w = int(w_total / 2) @@ -24,7 +31,6 @@ class PairedData(object): w_offset = random.randint(0, max(0, w - self.fineSize - 1)) h_offset = random.randint(0, max(0, h - self.fineSize - 1)) - A = AB[:, :, h_offset:h_offset + self.fineSize, w_offset:w_offset + self.fineSize] B = AB[:, :, h_offset:h_offset + self.fineSize, @@ -39,8 +45,7 @@ class AlignedDataLoader(BaseDataLoader): self.fineSize = opt.fineSize transform = transforms.Compose([ # TODO: Scale - #transforms.Scale((opt.loadSize * 2, opt.loadSize)), - #transforms.CenterCrop(opt.fineSize), + transforms.Scale(opt.loadSize), transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))]) @@ -55,7 +60,7 @@ class AlignedDataLoader(BaseDataLoader): num_workers=int(self.opt.nThreads)) self.dataset = dataset - self.paired_data = PairedData(data_loader, opt.fineSize) + self.paired_data = PairedData(data_loader, opt.fineSize, opt.max_dataset_size) def name(self): return 'AlignedDataLoader' @@ -64,4 +69,4 @@ class AlignedDataLoader(BaseDataLoader): return self.paired_data def __len__(self): - return len(self.dataset) + return min(len(self.dataset), self.opt.max_dataset_size) |