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Update validate_data to work with SingleImageDataset

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This commit is contained in:
James Betker 2020-10-02 08:58:34 -06:00
parent 35469f08e2
commit efbf6b737b
2 changed files with 8 additions and 2 deletions
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6
codes/data/single_image_dataset.py
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@ -11,6 +11,12 @@ class SingleImageDataset(BaseUnsupervisedImageDataset):
def __init__(self, opt):
super(SingleImageDataset, self).__init__(opt)
def get_paths(self):
for i in range(len(self)):
chunk_ind = bisect_left(self.starting_indices, i)
chunk_ind = chunk_ind if chunk_ind < len(self.starting_indices) and self.starting_indices[chunk_ind] == i else chunk_ind-1
yield self.chunks[chunk_ind].tiles[i-self.starting_indices[chunk_ind]]
def __getitem__(self, item):
chunk_ind = bisect_left(self.starting_indices, item)
chunk_ind = chunk_ind if chunk_ind < len(self.starting_indices) and self.starting_indices[chunk_ind] == item else chunk_ind-1

4
codes/data_scripts/validate_data.py
View File

@ -15,7 +15,7 @@ from skimage import io
def main():
#### options
parser = argparse.ArgumentParser()
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../../options/train_feature_net.yml')
parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../../options/train_exd_imgset_spsr7.yml')
parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none',
help='job launcher')
parser.add_argument('--local_rank', type=int, default=0)
@ -52,7 +52,7 @@ def main():
len(train_set), train_size))
assert train_loader is not None
tq_ldr = tqdm(train_set.paths_GT)
tq_ldr = tqdm(train_set.get_paths())
for path in tq_ldr:
try:
_ = io.imread(path)