Connect Jetson nano to Arduino

[dusty_nv]

@fratanto

One last question about how I can load it with my trained detection model(which is in the pyhton/training/detection/ssd directory), which I have trained using “train_ssd.py”, should I just specify the path in the code, when I declare the network or how should I do for making it use my model?

Hi @fratanto, sorry for the delay - after you export your model to ONNX, you can load it into detectnet/detectnet.py either via command-line or this is what the code would look like:

net = jetson.inference.detectNet(argv=[`--model=model_dir/ssd-mobilenet.onnx`, `--labels=model_dir/labels.txt`,  `--input-blob=input_0`, `--output-cvg=scores`, `--output-bbox=boxes`])

@fratanto

Also, if I would like to change the color for the detection boxes? Is it possible? I tried to edit the detectnet.cpp file, however when I build the docker, it shows me the original file, even though I saved it many times, what I would like to do is to edit the first class color to red, as it is by default green.

Lets continue following up on your other topic about this - https://forums.developer.nvidia.com/t/not-able-do-edit-the-file-detectnet-cpp/177271/18