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...Lanczos resampling ensures quality is not sacrificed for speed. As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output.

It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but instead of gray, that color). In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha (alpha = 0). You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image...

The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The...

This project involves integration of various Yocto components, kernel patches and scripts among others which will make Gumstix hardware consume very low power and still be ready for processor intensive applications. Examples, image processing, intelligent algorithms etc.. used for energy harvested applications like Camera-Trap for deployment in forests. See Present-low-power-capability.txt for details on what this version of poky can do on your gumstix. This work can be used for...

SIVP stands for Scilab Image and Video Processing toolbox. SIVP intends to do image processing and video processing tasks. SIVP is meant to be a useful, efficient, and free image and video processing toolbox for Scilab.