fix crop function with upsample
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@ -149,22 +149,23 @@ def crop(fields, start, crop, pad, scale_factor=1):
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new_fields = []
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for x in fields:
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for d, (i, N, (p0, p1)) in enumerate(zip(start, crop, pad)):
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start, stop = i - p0, i + N + p1
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begin, stop = i - p0, i + N + p1
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if scale_factor > 1: # add buffer for linear interpolation
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start, stop = start - 1, stop + 1
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begin, stop = begin - 1, stop + 1
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x = x.take(range(start, stop), axis=1 + d, mode='wrap')
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x = x.take(range(begin, stop), axis=1 + d, mode='wrap')
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if scale_factor > 1:
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x = np.expand_dims(x,axis=0)
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x = torch.from_numpy(x)
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x = F.interpolate(x, scale_factor=scale_factor, mode='trilinear')
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x = x.numpy()
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x = x[0].numpy()
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# remove buffer
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for d, (N, (p0, p1)) in enumerate(zip(crop, pad)):
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start, stop = scale_factor, N + p0 + p1 - scale_factor
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x = x.take(range(start, stop), axis=1 + d)
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begin, stop = scale_factor, N + p0 + p1 - scale_factor
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x = x.take(range(begin, stop), axis=1 + d)
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new_fields.append(x)
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