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Allow first n tiles to be ignored

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Helps zoom in with chunked dataset
This commit is contained in:
James Betker 2020-10-17 09:45:03 -06:00
parent c1c9c5681f
commit b45e132a9d
1 changed files with 6 additions and 1 deletions
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7
codes/data/chunk_with_reference.py
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@ -8,6 +8,11 @@ class ChunkWithReference:
def __init__(self, opt, path):
self.path = path.path
self.tiles, _ = util.get_image_paths('img', self.path)
if 'ignore_first' in opt.keys():
self.ignore = opt['ignore_first']
self.tiles = self.tiles[self.ignore:]
else:
self.ignore = 0
# Odd failures occur at times. Rather than crashing, report the error and just return zeros.
def read_image_or_get_zero(self, img_path):
@ -17,7 +22,7 @@ class ChunkWithReference:
return img
def __getitem__(self, item):
centers = torch.load(osp.join(self.path, "centers.pt"))
centers = torch.load(osp.join(self.path, "centers.pt"))[self.ignore:]
ref = self.read_image_or_get_zero(osp.join(self.path, "ref.jpg"))
tile = self.read_image_or_get_zero(self.tiles[item])
tile_id = int(osp.splitext(osp.basename(self.tiles[item]))[0])