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@ -167,7 +167,9 @@ class YOLOLayer(nn.Module):
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create_grids(self, img_size, (nx, ny), p.device, p.dtype)
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# p.view(bs, 255, 13, 13) -- > (bs, 3, 13, 13, 85) # (bs, anchors, grid, grid, classes + xywh)
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p = p.view(bs, self.na, self.nc + 5, self.ny, self.nx).permute(0, 1, 3, 4, 2).contiguous() # prediction
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# p = p.view(bs, self.na, self.nc + 5, self.ny, self.nx).permute(0, 1, 3, 4, 2).contiguous() # prediction
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# https://discuss.pytorch.org/t/in-pytorch-0-4-is-it-recommended-to-use-reshape-than-view-when-it-is-possible/17034
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p = p.reshape(bs, self.na, self.nc + 5, self.ny, self.nx).permute(0, 1, 3, 4, 2) # prediction
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if self.training:
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return p
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