Tezos

MP - Colors #15

Description

Movie Posters --- --- --- --- --- I had this idea a couple of years ago when started to create my "portfolio projects" that I can showcase as an aspiring data scientist. At that time I created a webapp that scraped the movie posters based on the user input then applied k-means clustering to extract the dominant colors from the image and at the final step it created a list of colors and their respective hex codes. I remember showing this little project of mine at one of the job interview back then and I got hired. Few months ago, when I started to discover generative art as my new artistic hobby, I revisited this project and wanted to create something nice that I would like to showcase. Then I started to jot down my ideas and discovered different ways to visualize values and colors. Finally I ended up scraping 200 movie posters and using a k-means clustering to extract the dominant colors from the images in python. I saved the data in JSON and started to work on the visual part. When I started to discover artists using isometric views, I really fell in love with the idea to apply it to my project as well. With the coding almost finished, fxhash came out with fx(params) which I really liked as an idea and immediately wanted to utilize. So I had to go back and change my code a bit, but it is finally finished. Hope you find a good combination for your own movie poster! Params --- --- --- --- --- Background mode: [day, night] Line style: [relaxed, chaotic] Number of clusters: [5,6,7,8,9,10] Cluster height: [1,2,3,4,5] Cluster order: [Biggest is at the back, Shuffled] Frame: [True, False] Text: [True, False] Annotation: [None, Palette, Palette + Hex Code] Features --- --- --- --- --- In addition to the Params, there is Title and Release Year for the Movies. --- --- --- --- --- Press [s] to save captured image in high resolution --- --- --- --- --- (c) 2023 by mr_jezy

Traits

Tag

generative

Tag

isometric