diff options
Diffstat (limited to 'data/aligned_data_loader.py')
| -rw-r--r-- | data/aligned_data_loader.py | 19 |
1 files changed, 15 insertions, 4 deletions
diff --git a/data/aligned_data_loader.py b/data/aligned_data_loader.py index 039c113..d1d4572 100644 --- a/data/aligned_data_loader.py +++ b/data/aligned_data_loader.py @@ -1,4 +1,5 @@ import random +import numpy as np import torch.utils.data import torchvision.transforms as transforms from data.base_data_loader import BaseDataLoader @@ -8,10 +9,11 @@ from pdb import set_trace as st from builtins import object class PairedData(object): - def __init__(self, data_loader, fineSize, max_dataset_size): + def __init__(self, data_loader, fineSize, max_dataset_size, flip): self.data_loader = data_loader self.fineSize = fineSize self.max_dataset_size = max_dataset_size + self.flip = flip # st() def __iter__(self): @@ -36,6 +38,14 @@ class PairedData(object): B = AB[:, :, h_offset:h_offset + self.fineSize, w + w_offset:w + w_offset + self.fineSize] + if self.flip and random.random() < 0.5: + idx = [i for i in range(A.size(3) - 1, -1, -1)] + idx = torch.LongTensor(idx) + A = A.index_select(3, idx) + B = B.index_select(3, idx) + + + return {'A': A, 'A_paths': AB_paths, 'B': B, 'B_paths': AB_paths} @@ -50,8 +60,6 @@ class AlignedDataLoader(BaseDataLoader): transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))] - if opt.isTrain and not opt.no_flip: - transformations.insert(1, transforms.RandomHorizontalFlip()) transform = transforms.Compose(transformations) # Dataset A @@ -64,7 +72,10 @@ class AlignedDataLoader(BaseDataLoader): num_workers=int(self.opt.nThreads)) self.dataset = dataset - self.paired_data = PairedData(data_loader, opt.fineSize, opt.max_dataset_size) + + flip = opt.isTrain and not opt.no_flip + self.paired_data = PairedData(data_loader, opt.fineSize, + opt.max_dataset_size, flip) def name(self): return 'AlignedDataLoader' |