Search Results for "base64 image decoder" - Page 3

jpg2html is a series of C programs that embeds JPG images into HTML. Images are comparatively highly compressed (using RLE and BASE64) and decoded using JavaScript.

**Plugin is deprecated**

The JPedal JBIG2 Image Decoder is a 100% pure Java image decoder for the JBIG2 file format. The decoder takes the JBIG2 image processing technology developed for the JPedal PDF renderer in 2007 and makes it available as a generic library for more general usage. The JDeli Image Library https://www.idrsolutions.com/jdeli contains a much enhanced and faster version and also provides a complete ImageIO replacement (see https://www.idrsolutions.com/jdeli/imageio-replacement) for Tiff, JPEG, JPEG2000, Png as well as lots of other image formats including Dicom, WMF, PSD, SGI and WebP.

This software provides library to encode/decode Java strings to/from Base64 encoding and variants. Just include the .jar file into your classpath, to encode: string.getbytes("x-base64"); to decode: new String(bytearray, "x-base64");

pyqrcode is a python extension for acessing java qrcode decoder.

Open .X3F file decoder library & tools. Creating a better X3F decoder for the SIGMA SD9/10 users.

Very small utilities that encode/decodes files into/from base64 respectively. Completely written in Pure Pascal (from version 2) they should compile in every Pascal compiler known to man.

A portable C library of common data types and algorithms (such as linked lists, dynamic arrays, binary trees, stacks and queues, base64 encoder/decoder, MD5). Efficient, stable, fast, secure and extremely well documented.

fun with images initially just a bmp decoder and writer some image filtering functions for decoded images

Implementation of a RLE encoder/decoder library tailored for DICOM image.

...It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. The model supports flexible image input (file path, URL, base64) and outputs structured responses like bounding boxes or JSON, making it highly versatile in commercial and research settings. It excels in a wide range of benchmarks such as DocVQA, InfoVQA, and AndroidWorld control tasks.

Inkling-Small is an open-weight general-purpose multimodal model from Thinking Machines Lab, designed for agentic systems, coding assistants, chatbots, retrieval workflows, and natural-language applications. It accepts text, images, and audio as input and produces text output, with multilingual and multi-programming-language capabilities. The model uses a sparse Mixture-of-Experts architecture with 276B total parameters and 12B active per token, enabling strong performance with lower...