What it does
The computer iteratively attempts to mimic an input pictures through drawing it with 100 circles of varying circle and radii, and continuously improve its accuracy based on a generic genetic algorithm
How we built it
We followed 3 main steps that are common in genetic algorithms:
- Create population of a generation
- Use the current generation to breed a new generation. More accurately drawn individuals will be more likely to pass its traits down to its children
- Children will occasionally experience mutations, which are randomly occuring changes to their DNA properties.
In our case, the DNA would be the coordinates and colors of all our circles.
Challenges we ran into
The most challenging aspect was trying to optimize our fitness function, our cross-breeding function, as well as our mutation function, as the simulation takes a long time, and usually it is very difficult to get significant results in an hour. Thus, we had to be very careful in terms of when to test.
In the end, we were not able to get a visibly optimal solution, but we believe that with further optimizations, the algorithm should be able to produce better results.
How to install& run it
git clone https://github.com/PeterL328/AI-Draw.git cd AI-Draw python -m SimpleHTTPServer
This should start a server on port 8000 on your local machine.