Airside System Repository
- 1 Overview
- 2 Software
- 2.1 Development setup
- 2.2 Jetson setup
- 2.3 Usage
- 3 Hardware
Overview
The airside system runs on the NVIDIA Jetson TX2i on the drone.
Repository:
GitHub - UWARG/computer-vision-python: Autonomy on airside system
Software
Development setup
Follow the instructions: Autonomy Workflow Software
Install packages:
pip install -r requirements.txt
pip install -r requirements-pytorch.txt
pip install -r modules/common/requirements.txt
Jetson setup
Follow the instructions: Jetson
Usage
Copy the model file (.pt) into the repository.
In config.yaml
, update model_path
to point to the model file.
Activate the environment: Autonomy Workflow Software
Enter the commands :
git checkout main
git pull
git submodule update --remote
python -m main_2024
If your computer does not not have CUDA support, add --cpu
to force the program to use the CPU:
python -m main_2024 --cpu
Other options are available. See them by using -h
.
Hardware
NVIDIA Jetson TX2i: Jetson
CUDA compability information: CUDA and PyTorch
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