EnglishFrenchSpanish

Ad


OnWorks favicon

libfacedetection download for Windows

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

This is the Windows app named libfacedetection whose latest release can be downloaded as 20210920-release.zip. It can be run online in the free hosting provider OnWorks for workstations.

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

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 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

Ad


libfacedetection


DESCRIPTION

This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory ./models/. The file examples/detect-image.cpp and examples/detect-camera.cpp show how to use the library. The library was trained by libfacedetection.train. You can copy the files in directory src/ into your project, and compile them as the other files in your project. The source code is written in standard C/C++. It should be compiled at any platform which supports C/C++.



Features

  • You can also compile the source code to a static or dynamic library, and then use it in your project
  • You can enable OpenMP to speedup, but the best solution is to call the detection function in different threads
  • You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler
  • SIMD instructions are used to speed up the detection
  • The model file has also been provided in directory ./models/
  • The library was trained by the technology of libfacedetection.train


Programming Language

C++


Categories

Libraries, Image Recognition

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


Free Servers & Workstations

Download Windows & Linux apps

Linux commands

Ad