Search Results for "integration"

...Additional companion repos host test data and demos, including JavaScript builds and timing tests for various platforms. As a widely deployed codec, libwebp balances compression efficiency, speed, and integration simplicity across platforms.

This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. ...

Rembg is a powerful tool that utilizes AI (specifically U^2-Net) to automatically remove backgrounds from images, offering a streamlined command-line interface and Docker support. It's ideal for batch processing and integrates smoothly into workflows

...Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. While PIL is not officially over yet, with Pillow you can be assured of continuous integration testing, publicized development activity, and regular releases to the Python Package Index.

Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency.

Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy...

... 📸 Live Demo The application is deployed on Streamlit Cloud: Live App test now: https://qcuas-quantum-cosmology-astrophysics-unified-suite.streamlit.app/ QCI AstroEntangle Refiner – FDM soliton physics & image processing Magnetar QED Explorer – Magnetar fields, dark photons & vacuum QED Primordial Photon–DarkPhoton Entanglement – Von Neumann evolution in an expanding universe QCIS (Quantum Cosmology Integration Suite) – Quantum‑corrected cosmological perturbations 🔭 Overview These four projects form a complete computational framework for quantum‑inspired astrophysics. Together they enable: Image analysis of galaxy clusters (Abell, Bullet, etc.) using Fuzzy Dark Matter (FDM) soliton overlays. Simulation of magnetar

...It is intended to help with automatically compressing images (e.g., for Android apps) during the build process, possibly integrating with Gradle or build scripts, thereby reducing the size of PNG assets integrated into apps. Support for usage via Gradle or other JVM build tools (via dependencies). Automatic PNG compression integrated into build workflows. Transparent integration (developers may not need manual steps). Minimal configuration surface (simple plugin / API).

...This sourceforge project contains only old historical versions of the software. SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

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.

3D medical image platform for visualization and image processing. Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets

Small programs for special image processing tasks with wrapper script for seamless integration into GIMP.

A library for the integration of MATLAB inside .NET projects. It provides the fastes access to MATLAB functions for computation and image processing