autoshape() update for PIL greyscale inputs (#1279)
* autoshape update for PIL greyscale inputs * autoshape update for PIL greyscale inputs
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@ -1,6 +1,7 @@
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# This file contains modules common to various models
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import math
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import numpy as np
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import torch
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import torch.nn as nn
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@ -144,7 +145,8 @@ class autoShape(nn.Module):
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shape0, shape1 = [], [] # image and inference shapes
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batch = range(len(x)) # batch size
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for i in batch:
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x[i] = np.array(x[i])[:, :, :3] # up to 3 channels if png
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x[i] = np.array(x[i]) # to numpy
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x[i] = x[i][:, :, :3] if x[i].ndim == 3 else np.tile(x[i][:, :, None], 3) # enforce 3ch input
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s = x[i].shape[:2] # HWC
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shape0.append(s) # image shape
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g = (size / max(s)) # gain
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