ardrone_face_tracking.go

package main

import (
	"fmt"
	cv "github.com/hybridgroup/go-opencv/opencv"
	"github.com/hybridgroup/gobot"
	"github.com/hybridgroup/gobot/ardrone"
	"github.com/hybridgroup/gobot/opencv"
	"math"
	"path"
	"runtime"
)

func main() {
	_, currentfile, _, _ := runtime.Caller(0)
	cascade := path.Join(path.Dir(currentfile), "haarcascade_frontalface_alt.xml")

	window := opencv.NewWindowDriver()
	window.Name = "window"

	camera := opencv.NewCamera()
	camera.Name = "camera"
	camera.Source = "tcp://192.168.1.1:5555"

	ardroneAdaptor := ardrone.NewArdroneAdaptor()
	ardroneAdaptor.Name = "Drone"

	drone := ardrone.NewArdroneDriver(ardroneAdaptor)
	drone.Name = "Drone"

	work := func() {
		detect := false
		drone.TakeOff()
		var image *cv.IplImage
		gobot.On(camera.Events["Frame"], func(data interface{}) {
			image = data.(*cv.IplImage)
			if detect == false {
				window.ShowImage(image)
			}
		})
		gobot.On(drone.Events["Flying"], func(data interface{}) {
			gobot.After("1s", func() { drone.Up(0.2) })
			gobot.After("2s", func() { drone.Hover() })
			gobot.After("5s", func() {
				detect = true
				gobot.Every("0.3s", func() {
					drone.Hover()
					i := image
					faces := opencv.DetectFaces(cascade, i)
					biggest := 0
					var face *cv.Rect
					for _, f := range faces {
						if f.Width() > biggest {
							biggest = f.Width()
							face = f
						}
					}
					if face != nil {
						opencv.DrawRectangles(i, []*cv.Rect{face})
						center_x := float64(image.Width()) * 0.5
						turn := -(float64(face.X()) - center_x) / center_x
						fmt.Println("turning:", turn)
						if turn < 0 {
							drone.Clockwise(math.Abs(turn * 0.4))
						} else {
							drone.CounterClockwise(math.Abs(turn * 0.4))
						}
					}
					window.ShowImage(i)
				})
				gobot.After("20s", func() { drone.Land() })
			})
		})
	}

	robot := gobot.Robot{
		Connections: []gobot.Connection{ardroneAdaptor},
		Devices:     []gobot.Device{window, camera, drone},
		Work:        work,
	}

	robot.Start()
}