go-cv is a computer vision and image processing library for Go using Golang assembly. It is a works-in-progress wrapper around the Simd library. For now most work has been done on the SSE2 version.
The Simd Library is a highly optimized image processing library. 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)
- classification
- neural network
The algorithms are optimized using different SIMD CPU extensions. In particular the library supports following CPU extensions:
- x86/x64: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX and AVX2
- ARM: NEON
$ go get -u "github.com/fwessels/go-cv"
See the samples directory for various sample algorithms. For example:
$ cd samples
$ go run filtering.go
A comparison against go-opencv shows the following results:
OpenCV SSE2
benchmark old ns/op new ns/op delta
BenchmarkGaussian-8 74338 18481 -75.14%
BenchmarkGaussianRGB-8 186024 57169 -69.27%
BenchmarkBlur-8 110155 16623 -84.91%
BenchmarkBlurRGB-8 293017 53716 -81.67%
BenchmarkMedian3x3-8 129268 23270 -82.00%
BenchmarkMedian3x3RGB-8 169857 65896 -61.21%
BenchmarkMedian5x5-8 883311 131812 -85.08%
BenchmarkMedian5x5RGB-8 1246845 388415 -68.85%
See the underlying package go-cv for more information.
go-cv is released under the Apache License v2.0. You can find the complete text in the file LICENSE.
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