Yes, so I take:
mean=(0.485, 0.456, 0.406) and multiply every value by 255, which equals to 123.675;116.28;103.53 e.g. 0.485 * 255 = 123.675
And for std=(0.229, 0.224, 0.225) I calculate mean of std which is (0.229+0.224+0.225) / 3 = 0.226 and then calculate net-scale-factor by 1 / (0.226 * 255) = 0,017352074
I have gone through the options You have listed in DeepStream SDK FAQ and confirmed that I’m using the same ones for training as I’m for DS