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Free download ncnn Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named ncnn whose latest release can be downloaded as androidiosmacoslinuxwindowswebassemblyYuBianYiKu202107202c4ae09.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named ncnn with OnWorks for free.

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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS:

ncnn


DESCRIPTION:

ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu.



Features

  • Supports most commonly used CNN networks
  • Supports convolutional neural networks
  • Supports multiple input and multi-branch structure
  • Absolutely no third-party dependencies
  • Cross-platform
  • ARM NEON assembly
  • Low memory footprint
  • Supports multi-core parallel computing acceleration
  • Supports GPU acceleration
  • Small library size
  • Extensible model design
  • Supports direct memory zero copy reference load network model
  • Can be registered with custom layer implementation and extended


Programming Language

C++



This is an application that can also be fetched from https://sourceforge.net/projects/ncnn.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

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