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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
Project Samples
