28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
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import os.path as osp
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from data import util
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import torch
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# Iterable that reads all the images in a directory that contains a reference image, tile images and center coordinates.
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class ChunkWithReference:
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def __init__(self, opt, path):
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self.opt = opt
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self.path = path
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self.ref = None # This is loaded on the fly.
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self.cache_ref = opt['cache_ref'] if 'cache_ref' in opt.keys() else True
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self.tiles = util.get_image_paths('img', path)
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def __getitem__(self, item):
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if self.cache_ref:
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if self.ref is None:
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self.ref = util.read_img(None, osp.join(self.path, "ref.jpg"))
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self.centers = torch.load(osp.join(self.path, "centers.pt"))
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ref = self.ref
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centers = self.centers
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else:
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self.ref = util.read_img(None, osp.join(self.path, "ref.jpg"))
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self.centers = torch.load(osp.join(self.path, "centers.pt"))
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return self.tiles[item], ref, centers[item], path
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def __len__(self):
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return len(self.tiles)
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