Search Results for "scikit-learn"

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image builds on scipy.ndimage to provide a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome!

Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability.

...Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows.

...This component process an image with filters supplied as props and returns a base64 image. I was working on a project last month which involved a lot of image processing and I'd to rely on third party libraries. But before using them directly, I'd to learn different concepts in gl (shaders) and then try to implement them in React. The difficult part was not learning but it was the verbosity, boilerplate code and redundancy introduced by the libraries in the codebase. It was getting difficult to organize all the things. And React's component-based model was perfect for hiding all the implementation details in a component.

OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. ...

TurboSphere is an intuitive and easy to learn game engine. It is generally modeled after the Sphere RPG engine for its API, although the API has been modernized. It uses JavaScript as its game logic language, and supports many common file types for resources. TurboSphere uses Google V8 for JavaScript execution and SDL for graphics, audio, input and most other game related functions.

☆libunitinu.php☆ An UNITIИU Image Processing Library Makes a fun flipped image Learn more → http://encyclopediadramatica.se/UNITINU

...Maint target is develop 3D FloodFill tool for 3D stack images based on algorithm described in A rapid 3D seed-filling algorithm based on scan slice by Wei Wei You et al. Secondary targets is learn myself of Java, subversion and other.