Search Results for "image effect"

simpleParallax.js is a very simple and tiny Vanilla JS library that adds parallax animations on any image. Where it may be laborious to get results through other plugins, simpleParallax.js stands out for its ease and its visual rendering. The parallax effect is directly applied to image tags, there is no need to use background images.

A Photo Editor library with simple, easy support for image editing using Paints, Text, Filters, Emoji and Sticker like stories. Drawing on the image with the option to change its Brush's Color, Size, Opacity, Erasing and basic shapes. Apply Filter Effect on the image using MediaEffect. Adding/Editing Text with the option to change its Color with Custom Fonts. Adding Emoji with Custom Emoji Fonts.

glfx.js is a JavaScript image-effects library that uses WebGL to apply real-time filters and transformations directly in the browser. It exposes a simple API where images are uploaded into GPU textures, processed with shader-based filters, and rendered to a WebGL canvas. Because the work is done on the GPU, many effects that would be too slow in pure JavaScript (like complex blurs, lens effects, or tilt-shift) can run interactively, even on large images. The library is structured around...

A Photobooth web interface for Raspberry Pi and Windows. Event-specific (e.g. wedding, birthday) config to show a symbol (e.g. heart) between some text on the start page. Green screen keying (chroma keying). Photo collage function: take 4 pictures in a row with or without interruption and let it generate a collage out of it. Save pictures with a Polaroid effect. Adjust take picture and print commands. And many more options to adjust and style the Photobooth for your personal needs.

A highly customizable and lightweight library that allows you to create a button with an animation effect similar to Twitter's heart animation.

...The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing gradients with respect to the input image, and applying multi-scale “octave” processing to reveal fine and coarse patterns. The code is intentionally compact and exploratory, encouraging users to tweak layers, step sizes, and scales to influence the aesthetic. Although minimal, it illustrates important concepts like feature visualization, activation maximization, and the effect of different receptive fields on the final image.