3 projects tagged "Image Processing"
Updated 25 Oct 2012
libCVD
| Pop | 143.62 |
|---|---|
| Vit | 8.40 |
libCVD is a very portable and high performance C++ library for computer vision, image, and video processing. The emphasis is on providing simple and efficient image and video handling and high quality implementations of common low-level image processing function. The library is designed in a loosely-coupled manner, so that parts can be used easily in isolation if the whole library is not required. The video grabbing module provides a simple, uniform interface for videos from a variety of sources (live and recorded) and allows easy access to the raw pixel data. Likewise, the image loading/saving module provides simple, uniform interfaces for loading and saving images from bitmaps to 64 bit per channel RGBA images. The image processing routines can be applied easily to images and video, and accelerated versions exist for platforms supporting SSE.
Updated 23 Dec 2011
Into
| Pop | 100.80 |
|---|---|
| Vit | 3.54 |
Into is a cross-platform machine intelligence application framework written in C++. Into provides a different, fast way to build high-performance applications for image analysis, machine vision, pattern recognition, and artificial intelligence. It features a layered API and more than 20 fully interoperable plug-in modules for accessing image and data sources, powerful feature extractors, classifiers, neural networks, and much more. It also provides Ydin, an innovative execution engine that makes it easy to create dynamic programs that automatically run in parallel, enabling you to create more with less hassle, less code, and less time. Into uses Qt to let you create beautiful user interfaces for your applications with ease.
Updated 23 May 2013
Thumbnailator
| Pop | 184.98 |
|---|---|
| Vit | 30.47 |
Thumbnailator is a thumbnail generation library with a fluent interface for Java. It simplifies the process of producing thumbnails from existing image files and image objects by providing an API which allows for fine tuning of thumbnail generation, while keeping the amount of code that needs to be written to a minimum.
