Thank you for this quick reply.
I managed to change the confidenceThreshold parameter to its maximum (65280). It is slightly better, but doesn’t seem to solve the problem.
Downscaling is not available with CUDA backend : VPI_ERROR_INVALID_ARGUMENT: Only downscale factor of 1 is supported
I you meant manually reduce input size, it doesn’t change anything except the size of the black rectangle on the top-left:
By the way, this rectangle is probably due to the way I apply grain, since it doesn’t show up when I use real images. I’ll try to investigate this.
The suggestion is from some of our users found the VPI stereo matching perform better in the low-resolution image.
So it’s recommended to give it a try.