Hi,
I am having hard times with the VPI 1.X stereo disparity sample on my Jetson Nano B01. I made some virtual benchmark images :
Virtual cameras are perfectly aligned, with a subtle amount of grain to seem more realistic.
As a result with CUDA backend, I get this disparity map:
And this confidence map:
I have a few questions about this output:
- What is this black rectangle on the top-loft corner? It doesn’t show up with CPU backend.
- Why is the confidence so high in the sky?
I read this topic with a similar issue, but I cannot use the uniqueness parameter, as I am stuck with VPI1 / JetPack 4.6 on my Jetson Nano B01.
I am afraid that the confidence value just takes the correlation score into consideration.
What do you advise to get a usable confidence map ?
Thank you in advance.
Configuration:
Jetson Nano B01 4GB (eMMC 16GB)
Ubuntu 18.04
JetPack 4.6 (L4T 32.6.1)
CUDA 10.2.3
VPI 1.1.15