A Golang binding for OpenCV.
OpenCV 1.x C API bindings through CGO, and OpenCV 2+ C++ API (GoCV) through SWIG.
This is a fork of chai's go-opencv, which has only OpenCV1 support through CGO, and all credits for OpenCV1 wrapper (except files in gocv/ folder) should mainly go to Chai. At the time of the fork (Dec 9, 2013) the original project was inactive and was hosted on Google Code, which was a little inconvenient for community contribution. Hence, I decided to host a fork on Github so people can contribute to this project easily. Since then, some patches were added by community, and some experimental OpenCV 2 wrappers were added as well. That means this fork went on a little bit divergent way comparing to the origin project. However, now the origin project seems to be active again and be moved to GitHub starting from Aug 25, 2014. Efforts to merge the two projects are very welcome.
Install Go and OpenCV, you might want to install both of them via apt-get or homebrew.
You can reference the link to install required packages.
go get github.com/go-opencv/go-opencv
cd $GOPATH/src/github.com/go-opencv/go-opencv/samples
go run hellocv.go
- 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/go-opencv/go-opencv
cd ${GoOpenCVRoot}/trunk/samples && go run hellocv.go
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.
package main
import . "github.com/go-opencv/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)
}package main
import opencv "github.com/go-opencv/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, nil)
opencv.SaveImage("resized2.jpg", resized2, nil)
opencv.SaveImage("resized3.jpg", resized3, nil)
}Yet another cool example is created by @saratovsource which demos how to use webcam:
cd samples
go run webcam.go
You can find more samples at: https://github.com/go-opencv/go-opencv/tree/master/samples
-
Fork this repo
-
Clone the main repo, and add your fork as a remote
git clone https://github.com/go-opencv/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!