calligrapher-ai VS zune-jpeg

When I write a program I usually make it focused on a single thing that it's supposed to accomplish. For example, Calligrapher AI lets you type text and then "writes" the same text in human-like handwriting while you watch, and lets you save the image. Beep Knobs is just a board with knobs (albeit a fancy one) that lets you generate customized beeps. And Genetic Origins Heatmap does just what it sounds like, produces a world map indicating where your ancestors came from (using 23andMe DNA data, for example).

Someone else's copy: https://github.com/GirkovArpa/calligrapher-ai

Calligrapher.ai ported from JavaScript - uses Sciter

$bid, I will use this handwriting synthesizer to help recreate your logo.

Congrats, but you dropped this.

Alternatively, you can round up the array length to the nearest power of 2 and use cheap bitmasking instead of branching bounds checks. If it goes wrong, it will access the wrong element but will not result in any code execution vulnerabilities. Here's an example of this in zune-jpeg.

gif, png, zune-jpeg are on par with their C counterparts in terms of performance

here

Based on some experience writing a jpeg decoder library, I'd like to give my two cents worth of information

Answer pretty fast