updates
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@ -194,7 +194,7 @@ class YOLOLayer(nn.Module):
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xy = torch.sigmoid(p[..., 0:2]) + grid_xy[0] # x, y
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xy = torch.sigmoid(p[..., 0:2]) + grid_xy[0] # x, y
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wh = torch.exp(p[..., 2:4]) * anchor_wh[0] # width, height
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wh = torch.exp(p[..., 2:4]) * anchor_wh[0] # width, height
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p_conf = torch.sigmoid(p[:, 4:5]) # Conf
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p_conf = torch.sigmoid(p[:, 4:5]) # Conf
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p_cls = F.softmax(p[:, 5:85], 1) * p_conf # SSD-like conf
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p_cls = F.softmax(p[:, 5:5 + self.nc], 1) * p_conf # SSD-like conf
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return torch.cat((xy / ngu[0], wh, p_conf, p_cls), 1).t()
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return torch.cat((xy / ngu[0], wh, p_conf, p_cls), 1).t()
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# p = p.view(1, m, 5 + self.nc)
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# p = p.view(1, m, 5 + self.nc)
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