rreddy78

Thanks a lot for the workaround

I think I this same issue.

I see that it is caused when calling an OpenCV method. sgbm_matcher = cv::StereoSGBM::create(0, 16, 3); sgbm_matcher->setPreFilterCap(63); // SEG FAULTS at this line. So could be be an OpenCV bug...

Found a workaround atleast: [https://github.com/slightech/MYNT-EYE-S-SDK/issues/117](url)

Hello @cattaneod Regarding the kernel launch failure errors: 1) The CMRNet module's setup.py lacks the same nvcc_args and cxx_args that the correlation_package has. So by adding them would help in...

Thanks a lot for the hints. We are now preparing our vehicle setup to capture the dataset. The sensor setup is as follows: 1) Velodyne HDL-16 as our LiDAR for...

Hello @cattaneod , Due to delays in setting up our vehicle and sensors, we plan in the meantime to test out a synthetic dataset from CARLA (https://github.com/jedeschaud/kitti_carla_simulator) to train. With...

Hello @cattaneod , Have managed to generate KITTI type of dataset from the CARLA simulator. Here one question on a comment you put in the documentation: "The Data Loader requires...

> Finally, you should change the image_size parameter to a suitable size for you images (take into account that both width and height should be multiple of 64, due to...

Yes, indeed that was the problem. Thanks. I have saved the images as RGB and now the training is happening.