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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 |