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Refactor out-of-place `Detect()` for reduced ops (#7257)

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Glenn Jocher 2022-04-03 19:26:23 +02:00 committed by GitHub
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commit 4f839b7970
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1 changed files with 2 additions and 2 deletions
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models/yolo.py
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@ -66,9 +66,9 @@ class Detect(nn.Module):
y[..., 0:2] = (y[..., 0:2] * 2 - 0.5 + self.grid[i]) * self.stride[i] # xy
y[..., 2:4] = (y[..., 2:4] * 2) ** 2 * self.anchor_grid[i] # wh
else: # for YOLOv5 on AWS Inferentia https://github.com/ultralytics/yolov5/pull/2953
xy = (y[..., 0:2] * 2 - 0.5 + self.grid[i]) * self.stride[i] # xy
xy = (y[..., 0:2] * 2 + (self.grid[i] - 0.5)) * self.stride[i] # xy
wh = (y[..., 2:4] * 2) ** 2 * self.anchor_grid[i] # wh
y = torch.cat((xy, wh, y[..., 4:]), -1)
y = torch.cat((xy, wh, y[..., 4:]), 4)
z.append(y.view(bs, -1, self.no))
return x if self.training else (torch.cat(z, 1), x)