This is the Linux app named GoCV whose latest release can be downloaded as 0.35.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named GoCV 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 the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux 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, install it and run it.
SCREENSHOTS:
GoCV
DESCRIPTION:
GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. CV software typically processes video images, then uses the data to extract information in order to do something useful. Since memory allocations for images in GoCV are done through C based code, the go garbage collector will not clean all resources associated with a Mat. As a result, any Mat created must be closed to avoid memory leaks.
Features
- GoCV supports CUDA for hardware acceleration using NVIDIA GPUs
- GoCV also supports the Intel OpenVINO toolkit
- Supports the latest releases of Go and OpenCV v4.5.4
- For Linux, macOS, and Windows
- By default, pkg-config is used to determine the correct flags for compiling and linking OpenCV
- The project now provides Dockerfile which lets you build GoCV Docker image
Programming Language
Go
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/gocv.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.