SFU Capstone Project (ENSC 405/440).
Group members: Mateen Ulhaq, Bud Yarrow, Arman Athwal, Naim Tejani, Victor Yun, Martin Leung
This project features a general-purpose object tracking system. Typical applications include:
- Sports tracking (ball, puck, racing car)
- Photography (moving car shots, moon)
- Film industry (automated tracking of subject with adjustable parameters, e.g. rule of thirds, smoothness)
- Drone alert system
This project makes use of the following custom built physical system with 2 degrees of freedom (azimuth, elevation):
Install the following:
- Anaconda 3 (with matplotlib, opencv, numpy)
- Node Package Manager (npm)
- Electron
Set your PATH environment variable to include the Anaconda 3 directory. It is recommended that you put this path at the beginning of PATH.
To install additional Python libraries used by this repository:
python3 setup.py install
To install Electron:
cd gui
npm install --save-dev electron
Also, clone:
For NXT installation instructions, see this version of README.md.
We provide the following Make targets:
make run_sim # Run simulation on PC
make run_gui # Run GUI on PC
make run_rpi # Run on Raspberry Pi (ensure repo cloned onto rpi)
make test # Run tests
make doc # Build documentation
make doc_run # Build and view documentation