Make it easy to interface with the JetBot in your code so that you can focus on what really matters.
In college, I had several courses that involved self-driving robots and machine learning. I was lent an NVIDIA Jetson Nano JetBot, and I was tasked to make it drive autonomously and avoid obstacles by training an image recognition model.
Since I found the official example code hideous and the use of the traitlets library annoying, I decided to make my own module with all the robot interfacing code that I needed at the time.
Someone also told me that it wasn't possible to control the JetBot via gamepad controller directly through the on-board usb ports. So I decided to prove them wrong.
- Receive input signals directly from an onboard usb gamepad controller.
- Bind custom functions to execute code based on gamepad input, and even change them at run-time.
- Initialise camera and receive the latest image frames through an iterator.
- Drive motors in whichever way you'd like.
- Scan QR codes through the camera to receive commands.
| Dependency | Usecase |
|---|---|
| Adafruit_MotorHAT | A depreciated version of the Adafruit MotorHAT library used to interface with the motors. |
| numpy | To work with the image data delivered by OpenCV that is in numpy matrices format. |
| OpenCV-Python | To read images from the camera and to scan QR codes. |
After cloning this repo, I recommend creating a virtual environment with:
python -m venv .venv
Then activating it with:
source .venv/bin/activate
Run the command below to install dependencies.
pip install -r requirements.txt