Merci à Beikko pour ce premier article sur l’image
1
- Chargement d'une image
Pour la manipulation
des images, Processing dispose de la classe Pimage
–pour stocker une image en
mémoire- et de fonctions spécifiques pour charger une image depuis
un fichier ou…
I did a talk recently at the Full Stack Meet Up in Denver on a bunch of super cool browser APIs like the Geolocation API, the Web Audio API, and the Ambient Light API.
I posted all my code and demonstrations online. You should check them out.
Music project from Brian Foo creates algorithmic music with recorded data of brainwaves during an epileptic seizure:
This song generates a musical sequence using EEG brain wave data of an anonymous epilepsy patient. It examines the periods before, during, and after a seizure. The goal is to give the listener an empathetic and
intuitive understanding of the brain’s neural activity during a seizure.
the whole website is written with p5.js. The principle is to have for each node created a csv file written in a specific way so that everytime you over a node in the canvas Dom elements are dynamically created in the right handside of the page.
Algorithm That Counts Rap Rhymes and Scouts Mad Lines
Study by Eric Malmi combines data science and Hip-Hop to discover the most rhythmic rapper:
Among the many things rappers like to boast about, some are relatively easy to quantify, like money, whereas rhyming skills are something that have been very difficult to measure – up till now. In this post, I’ll present Raplyzer, a computer program which automatically detects rhymes from rap lyrics and which is used to rank popular rappers based on their average Rhyme factor. I’ll also present another program called BattleBot, which is a search engine for rhyming rap lines based on the algorithm used in Raplyzer.
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