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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2020-02-09 11:17:31 -08:00
parent 8bc9f56564
commit 0958d81580
1 changed files with 3 additions and 2 deletions
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models.py
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@ -179,15 +179,16 @@ class YOLOLayer(nn.Module):
elif ONNX_EXPORT: elif ONNX_EXPORT:
# Avoid broadcasting for ANE operations # Avoid broadcasting for ANE operations
m = self.na * self.nx * self.ny m = self.na * self.nx * self.ny
ng = 1 / self.ng.repeat((m, 1))
grid_xy = self.grid_xy.repeat((1, self.na, 1, 1, 1)).view(m, 2) grid_xy = self.grid_xy.repeat((1, self.na, 1, 1, 1)).view(m, 2)
anchor_wh = self.anchor_wh.repeat((1, 1, self.nx, self.ny, 1)).view(m, 2) / self.ng anchor_wh = self.anchor_wh.repeat((1, 1, self.nx, self.ny, 1)).view(m, 2) * ng
p = p.view(m, self.no) p = p.view(m, self.no)
xy = torch.sigmoid(p[:, 0:2]) + grid_xy # x, y xy = torch.sigmoid(p[:, 0:2]) + grid_xy # x, y
wh = torch.exp(p[:, 2:4]) * anchor_wh # width, height wh = torch.exp(p[:, 2:4]) * anchor_wh # width, height
p_cls = torch.sigmoid(p[:, 4:5]) if self.nc == 1 else \ p_cls = torch.sigmoid(p[:, 4:5]) if self.nc == 1 else \
torch.sigmoid(p[:, 5:self.no]) * torch.sigmoid(p[:, 4:5]) # conf torch.sigmoid(p[:, 5:self.no]) * torch.sigmoid(p[:, 4:5]) # conf
return p_cls, xy / self.ng.repeat((m, 1)), wh return p_cls, xy * ng, wh
else: # inference else: # inference
# s = 1.5 # scale_xy (pxy = pxy * s - (s - 1) / 2) # s = 1.5 # scale_xy (pxy = pxy * s - (s - 1) / 2)