Search Results for "network development platforms"
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7 projects for "network development platforms" with 2 filters applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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QtScrcpy
Android real-time display control software
...If you are interested in it and want to learn how it works but do not know how to get started, you can choose to purchase my recorded video lessons. It details the development architecture and the development process of the entire software, and help you develop QtScrcpy from scratch. -
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libjpeg-turbo
SIMD-accelerated libjpeg-compatible JPEG codec library
libjpeg-turbo is a JPEG image codec that uses SIMD instructions (MMX, SSE2, NEON, AltiVec) to accelerate baseline JPEG compression and decompression on x86, x86-64, ARM, and PowerPC systems. On such systems, libjpeg-turbo is generally 2-6x as fast as libjpeg, all else being equal. On other types of systems, libjpeg-turbo can still outperform libjpeg by a significant amount, by virtue of its highly-optimized Huffman coding routines. In many cases, the performance of libjpeg-turbo rivals... -
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FFmpegKit
FFmpeg Kit for applications. Supports Android, Flutter, iOS, Linux, ma
FFmpegKit is a collection of tools to use FFmpeg in Android, iOS, Linux, macOS, tvOS, Flutter and React Native applications. It includes scripts to build FFmpeg native libraries, a wrapper library to run FFmpeg/FFprobe commands in applications and 8 prebuilt binary packages available at Github, Maven Central, CocoaPods, pub and npm. All scripts support additional options to enable optional libraries and disable platform architectures. FFmpegKit is a wrapper library that allows you to easily... -
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GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Simd
High performance image processing library in C++
The Simd Library is a free open source image processing library, designed for C and C++ programmers. It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library... -
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UPNPLib-mobile
Java/Android library for port mapping on UPnP routers
This library allows to discover UPnP-compatible routers on the local network, get some basic router information, including model and version number, external and internal interfaces addresses, forwarded ports list. Library allows to add new and delete existing port mappings. UPNPLib-mobile is the port of the abandoned UPNPLib project developed by "sbbi". Unlike the original, UPNPLib-mobile intended to be used for Android software development. -
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Roundware
a contributory, location-aware media platform for us all
This is Roundware V1. For V2, please see GitHub repository: https://github.com/hburgund/roundware-server Roundware is a client/server pair for creating participatory location-sensitive audio experiences. It was initially developed for the sound art installation ROUND, by Halsey Burgund, exhibited at the Aldrich Contemporary Art Museum. Development for version 2 has been handled privately for a variety of reasons, but will be released soon! Please contact us if you need code sooner.
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