I just joined this forum, first of all I would like to say a big THANK YOU for this simulator.
I’m collecting images using rgb and depth sensor as stereo camera rig and I really would like to acquire images that are as much as possible close to the realistic condition.
I’m curious to know if there are suggested settings to acquire high quality images from RGB sensors. I’m already a bit familiar with CARLA and I’m already collecting the images but I noticed some artifacts under certain conditions (repetitive patterns as you know are tricky to be handled by computer vision algorithms):
Actually I just changed my settings in the Nvidia control panel to emphasizing the quality, and I know that I can apply transfer learning to enhance the dataset I generated in Carla, but I’m maybe missing some out-of-the-box solution or recommended settings.
Thank you in advance for the help.