While I haven’t been as active and hard working on my graduation project as I would have liked to be, I am not dead (nor the project). Earlier this week I presented my project to the Bio-imaging group of Leiden University, which helped me a lot. I was able to present my project pretty much as-is, since I’m mostly done with the technical parts. I received valuable feedback and got good insights into what I should explain more thoroughly in the presentation. Continue reading “Not dead (yet)”
Project by Peter Curet & David Graus for the ‘Embodied Vision’ course by Joost Rekveld for the Media Technology MSc. Programme at Leiden University.
We compare the movement of the webcam input (adding up all movement towards the left and right, and up and down). This results in two numbers which represent the total amount of movement since the start.
The turtle graphic system draws on the basis of character-input:
– ‘w’ makes it move forward
– ‘a’ makes it turn left (but doesn’t draw anything)
– ‘d’ makes it turn right (same)
– ‘s’ changes the thickness of the line
– ‘c’ the color
The turtle receives a number of random strings from the genetic algorithm. It calculates the amount and direction of movement each string results in. Then it compares all these numbers to the numbers of the webcam movement. The more alike, the fitter we consider the string. We select the fittest string out of the number of strings it received, and make the turtle draw it. This string is the basis for the ‘next generation’ of strings. It is fed to the genetic algorithm which evolves this string into multiple other strings. The process repeats to infinity. Since the webcam input is dynamic and ever-changing, the fitness of the strings will not gradually rise, but it an ever-changing value.