thanks,I have checked that it is caused by net-scale-factor error value, I have two new questions.
- secondary gie1 depend on secondary gie0’s output result in my config file,but i found secondary gie1 is invalid and found a topic on this issue in the forum, can you provide some good suggestions? Secondary gie depend on another secondary gie - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums
2.For secondary gie0’s output result,I found that the probability value of class-id 0 is always very small and inconsistent with the results I got during the training model process. why is there such a result?
