yes, we used remap for the elimination of any distortion due to lens curvature. also, our brief progress goes like this.
our ultimate goal:- achieve stereo vision computation on jetson using IMX219 cameras for integrating obstacle avoidance. we had experience with a normal laptop on a robot running the code. but we want to shift to jetson hardware for a modular approach.
brief of our progress goes like this.
we want to achieve stereo vision using two cameras on jetson nano.
in Experiment 1, our configuration goes like this
2X Logitech cameras, i5 processor, windows10. OpenCV 4.3
Progress: calibration works fine. processing goes good and cv2.imshow()
2X Logitech cameras, JETSON NANO, jetpack 4.3, OpenCV 4.3 progress: calibration works fine. but processing hangs. cv2.imshow() hangs up.
In Experiment 3,
2X IMX219 waveshare 200-degree FOV cameras. jetson nano. jetpack 4.3, OpenCV 4.3, progress: calibration ran into issues but resolved, processing and computing are in issues.
also, are there any resources available for jetson nano stereo computing apart from using intel real sense and USB cameras.