I have trained my model for object detection, and everything works well, it detects the objects with no problem, however, I would like to connect Arduino to Jetson Nano, so when it detects one of the objects, and the confidence level of the model is above 90% it will send the data to the Arduino and will turn on an LED.
I am working with the Jetson-inference library by dusty, cloned from GitHub, however I am finding zero documentation about how to make this sort of things even though I have seen around it is possible to do such thing.
I know how to send the data in order to turn on the LED from the Jetson-nano to the Arduino through Python, however I would like to make it possible when detects an object from my model.
Does anyone know how I can achieve this? or Anywhere where I can find a piece of documentation about this?
Nvidia Driver Version:
Operating System + Version:
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):
Please attach or include links to any models, data, files, or scripts necessary to reproduce your issue. (Github repo, Google Drive, Dropbox, etc.)
- Exact steps/commands to build your repro
- Exact steps/commands to run your repro
- Full traceback of errors encountered