OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.
For more info about OpenCV click here
This package requires OpenCV 3.4+ be installed on your system, along with GoCV, which is the Go programming language wrapper used by Gobot. The best way is to follow the installation instructions on the GoCV website at https://gocv.io.
The instructions should automatically install OpenCV 4+
To install on macOS follow the instructions here:
https://gocv.io/getting-started/macos/
To install on Ubuntu follow the instructions here:
https://gocv.io/getting-started/linux/
Please refer to the main README.md
To install on Windows follow the instructions here:
https://gocv.io/getting-started/windows/
Here is an example using the camera:
package main
import (
"gobot.io/x/gobot/v2"
"gobot.io/x/gobot/v2/platforms/opencv"
"gocv.io/x/gocv"
)
func main() {
window := opencv.NewWindowDriver()
camera := opencv.NewCameraDriver(0)
work := func() {
camera.On(opencv.Frame, func(data interface{}) {
img := data.(gocv.Mat)
window.ShowImage(img)
window.WaitKey(1)
})
}
robot := gobot.NewRobot("cameraBot",
[]gobot.Device{window, camera},
work,
)
if err := robot.Start(); err != nil {
panic(err)
}
}
Build your application with build tag "gocv".