Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
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Updated
Sep 18, 2024 - C++
Boost.GIL - Generic Image Library | Requires C++14 since Boost 1.80
Recognition of the images with artificial intelligence includes train and tests based on Python.
Imagecast is like ImageMagick but for Pythonistas. Optionally provides its features via HTTP API.
An image processing library in C for common and advanced image filters.
Lua binding for the libvips image processing library
Multi-View Environment
An NPM module, Intelli Image Crop, intelligently removes white spaces from raster images.
A simple image processing library developed with Modern C++.
A simple image-processing framework written in C
A library for simple mathematical morphology operations on images with arbritary shaped structuring elements
computer vision sample code using python openCV library
Interface-based image filter implementations in .NET 6.0, platform-agnostic. Current implementation available for Windows, with GNU/Linux coming soon.
Real-time Interactive Image/Video/Audio Processing Library for Math-Averse People
Implements Pyramidal blending wherein a laplacian pyramid is created out of portions of images to be blended and then the pyramids themselves added per level to give a new third pyramid, which is then superimposed to give a new image
A node.js module that provides access to the VIPS library and Exiv2 in order to resize and rotate images.
This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for…
Image processing components for NoFlo.
Tools used for aspect-ratio-preserving image augmentation, namely translate, rotate, crop WITHOUT stretching or skewing the image, or padding pixels to fill up empty space.
Simple image library written in Java.
This is a course depository from K. N. Toosi University of Technology. The course is Digital Image Processing taught by Dr. Yasser Maqsoudi and Seyed Ali Ahmadi in geomatics faculty of K.N.T. University of technology. The course material is currently uploaded in Google Classroom, but we are considering to distribute some of the material here for…
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