This is a modified version of the classic Flappy Bird game, where the bird is controlled using hand gesture detection. The detection is powered by NVIDIA Jetson Nano using the detectNet model from the jetson-inference library. The camera captures hand movements, and the game responds by making the bird "jump" based on the position of your hand.
To run this project, you need the following:
Hardware:
/dev/video0)Software:
Ensure that the Jetson Inference library is properly installed. Follow the instructions from the official NVIDIA repository:
git clone <your-repository-url>
cd <project-directory>
/dev/video0. You can check if the camera is connected by running:ls /dev/video0
If it doesn’t show, check your camera connection and permissions.
sudo chmod 777 /dev/video0
Ensure you have the necessary dependencies installed (Jetson libraries, Pygame, etc.).
Modify the settings.py file to suit your configuration if necessary (e.g., camera resolution, detection model).
Once the setup is complete, you can start the game:
python3 main.py
43 commits
Python
34.3%
C++
34.1%
CSS
7.7%
Shell
6.5%
Dockerfile
3.5%
Jupyter Notebook
3.2%
HTML
2.8%
JavaScript
2.5%
Cuda
2.5%
Mojo
1.5%
This is a modified version of the classic Flappy Bird game, where the bird is controlled using hand gesture detection. The detection is powered by NVIDIA Jetson Nano using the detectNet model from the jetson-inference library. The camera captures hand movements, and the game responds by making the bird "jump" based on the position of your hand.
To run this project, you need the following:
Hardware:
/dev/video0)Software:
Ensure that the Jetson Inference library is properly installed. Follow the instructions from the official NVIDIA repository:
git clone <your-repository-url>
cd <project-directory>
/dev/video0. You can check if the camera is connected by running:ls /dev/video0
If it doesn’t show, check your camera connection and permissions.
sudo chmod 777 /dev/video0
Ensure you have the necessary dependencies installed (Jetson libraries, Pygame, etc.).
Modify the settings.py file to suit your configuration if necessary (e.g., camera resolution, detection model).
Once the setup is complete, you can start the game:
python3 main.py
43 commits
Python
34.3%
C++
34.1%
CSS
7.7%
Shell
6.5%
Dockerfile
3.5%
Jupyter Notebook
3.2%
HTML
2.8%
JavaScript
2.5%
Cuda
2.5%
Mojo
1.5%