I’m new to using the Nvidia Jetson Nano. I traversed though the Nvidia self paced online training from “Setting up Jetson with Jetpack” through “Running the Live Camera Detection Demo”. I’d like to get more sophisticated, and attempting to make my first modification but clueless of where and how to attack the change.
I’d like to change the image outlay from a filled in colored box to a framed box with a clear interior. I searched the code of detectNet.ccp and see a variable OUTPUT_BBOX set to 1 and a comment about Caffe. Is this where one would start? I can’t find any documentation on the values of this variable anywhere. Where would I look or should I look elsewhere. Can you suggest a way to make the modification and an Nvidia class that could teach me more about modifying the output image?
I code in C++.
NVIDIA Jetson Nano (Developer Kit Version)
L4T 32.5.1 [ JetPack 4.5.1 ]
Ubuntu 18.04.5 LTS|
Kernel Version: 4.9.201-tegra|
CUDA Architecture: 5.3|
OpenCV version: 4.1.1
OpenCV Cuda: NO|
Vision Works: 22.214.171.1241
VPI: ii libnvvpi1 1.0.15 arm64 NVIDIA Vision Programming Interface library