Skip to content

9nut/go-opencv

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Go OpenCV binding

A Golang binding for OpenCV.

OpenCV 1.x C API bindings through CGO, and OpenCV 2+ C++ API (GoCV) through SWIG.

DISCLAIMER

Install

Linux & Mac OS X

Install Go and OpenCV, you might want to install both of them via apt-get or homebrew.

go get github.com/lazywei/go-opencv
cd $GOPATH/src/github.com/lazywei/go-opencv/samples
go run hellocv.go

Windows

  • Install Go and MinGw
  • install OpenCV-2.4.x to MinGW dir
# libopencv*.dll --> ${MinGWRoot}\bin
# libopencv*.lib --> ${MinGWRoot}\lib
# include\opencv --> ${MinGWRoot}\include\opencv
# include\opencv2 --> ${MinGWRoot}\include\opencv2

go get github.com/lazywei/go-opencv
cd ${GoOpenCVRoot}/trunk/samples && go run hellocv.go

[WIP] OpenCV2 (GoCV)

After OpenCV 2.x+, the core team no longer develop and maintain C API. Therefore, CGO will not be used in CV2 binding. Instead, we are using SWIG for wrapping. The support for OpenCV2 is currently under development, and whole code will be placed under gocv package.

If you want to use CV2's API, please refer to the code under gocv/ directory. There is no too many documents for CV2 wrapper yet, but you can still find the example usages in *_test.go.

Please also note that the basic data structures in OpenCV (e.g., cv::Mat, cv::Point3f) are wrapped partially for now. For more detail on how to use these types, please refer to GoCV's README.

Requirement: we will build the wrappers based on mat64, given it is much easier to manipulate the underlaying data. In most case, it is not necessary to access the original CV data, e.g., cv::Mat can be converted from/to *mat64.Dense.

Example

OpenCV2's initCameraMatrix2D

package main

import . "github.com/lazywei/go-opencv/gocv"
import "github.com/gonum/matrix/mat64"

func main() {

	objPts := mat64.NewDense(4, 3, []float64{
		0, 25, 0,
		0, -25, 0,
		-47, 25, 0,
		-47, -25, 0})

	imgPts := mat64.NewDense(4, 2, []float64{
		1136.4140625, 1041.89208984,
		1845.33190918, 671.39581299,
		302.73373413, 634.79998779,
		1051.46154785, 352.76107788})

	camMat := GcvInitCameraMatrix2D(objPts, imgPts)
	fmt.Println(camMat)
}

Resizing

package main

import opencv "github.com/lazywei/go-opencv/opencv"

func main() {
	filename := "bert.jpg"
	srcImg := opencv.LoadImage(filename)
	if srcImg == nil {
		panic("Loading Image failed")
	}
	defer srcImg.Release()
	resized1 := opencv.Resize(srcImg, 400, 0, 0)
	resized2 := opencv.Resize(srcImg, 300, 500, 0)
	resized3 := opencv.Resize(srcImg, 300, 500, 2)
	opencv.SaveImage("resized1.jpg", resized1, 0)
	opencv.SaveImage("resized2.jpg", resized2, 0)
	opencv.SaveImage("resized3.jpg", resized3, 0)
}

Webcam

Yet another cool example is created by @saratovsource which demos how to use webcam:

cd samples
go run webcam.go

More

You can find more samples at: https://github.com/lazywei/go-opencv/tree/master/samples

How to contribute

  • Fork this repo

  • Clone the main repo, and add your fork as a remote

    git clone https://github.com/lazywei/go-opencv.git
    cd go-opencv
    git remote rename origin upstream
    git remote add origin https://github.com/your_github_account/go-opencv.git
    
  • Create new feature branch

    git checkout -b your-feature-branch
    
  • Commit your change and push it to your repo

    git commit -m 'new feature'
    git push origin your-feature-branch
    
  • Open a pull request!


Disclaimer

This is a fork of chai's go-opencv, which has only OpenCV1 support through CGO. At the time of the fork (Dec 9, 2013) the original project was inactive, and hence I decide to host a fork on Github so people can contribute to this project easily. However, now it seems to be active again starting from Aug 25, 2014. Efforts to merge the two projects are very welcome.

About

Go bindings for OpenCV / 2.x API in gocv / 1.x API in opencv

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Go 93.3%
  • C++ 3.4%
  • C 3.3%