Shoot your shot!
A weekend hackathon project to build a smart dart application. This demo uses two cameras to view the thrower and view the dartboard and track poses and dart placement.
You can run the pose demo in the pose directory by running
You can also run the dart demo in the dart directory by running
To run the entire demo, run:
on the jetson nano and
on the raspberry pi to trigger each session.
Clone the trt_pose repo:
git clone https://github.com/NVIDIA-AI-IOT/trt_pose.git
Follow the instructions to install on your jetson nano.
Install the rest of the dependencies with pip:
pip install -r requirements.txt
If you are using the RealSense camera, make sure to follow these instructions to install the librealsense library.
If you are using AWS to push your data to the cloud, make sure to configure your device with with your AWS credentials and edit each main script in the pose/ and darts/ directory with you S3 bucket name and DynamoDB table name.