We mounted the Jetson Nano in the car to function as a real-time object detection with GPS coordinates. We bought a GPS USB-dongle and had made it work with the Nano. For the object detection, we are using the Object DetectorYolo (tiny yoloV3 config) reference app of Deepstream 4.0.1.
Our main problem is combining the inference info with their corresponding GPS coordinates. There is a very big delay in terms of recorded inference vs. assignment of coordinates. Crudely, what we have our script check each of the output files on the gie-kitti folder, all those with inference it pairs them with the current coordinates and send to our cloud server. Our script is not able to catch up with the speed at which gie-kitti files are created and the files pile up.
We think we can improve on this if we can:
- control the creation of the output file- like only create a file if there is detection.
- integrate the GPS coordinates to the output file
- are there any APIs available for this specific reference file?
Thanks for the help!