mirror of https://bitbucket.org/ausocean/av.git
120 lines
2.6 KiB
Go
120 lines
2.6 KiB
Go
// +build !circleci
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// What it does:
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//
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// This example detects motion using a delta threshold from the first frame,
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// and then finds contours to determine where the object is located.
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//
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// Very loosely based on Adrian Rosebrock code located at:
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// http://www.pyimagesearch.com/2015/06/01/home-surveillance-and-motion-detection-with-the-raspberry-pi-python-and-opencv/
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package main
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import (
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"fmt"
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"image"
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"image/color"
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"os"
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"strconv"
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"time"
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"gocv.io/x/gocv"
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)
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const MinimumArea = 1000
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func main() {
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if len(os.Args) < 2 {
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fmt.Println("How to run:\n\tmotion-detect [camera ID]")
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return
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}
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// parse args
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deviceID := os.Args[1]
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minArea, _ := strconv.Atoi(os.Args[2])
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webcam, err := gocv.OpenVideoCapture(deviceID)
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if err != nil {
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fmt.Printf("Error opening video capture device: %v\n", deviceID)
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return
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}
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defer webcam.Close()
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window1 := gocv.NewWindow("Motion Window")
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defer window1.Close()
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window2 := gocv.NewWindow("Threshold window")
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defer window2.Close()
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time.Sleep(2 * time.Second)
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img := gocv.NewMat()
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defer img.Close()
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imgDelta := gocv.NewMat()
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defer imgDelta.Close()
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imgThresh := gocv.NewMat()
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defer imgThresh.Close()
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mog2 := gocv.NewBackgroundSubtractorMOG2()
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defer mog2.Close()
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status := "Ready"
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fmt.Printf("Start reading device: %v\n", deviceID)
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for {
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if ok := webcam.Read(&img); !ok {
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fmt.Printf("Device closed: %v\n", deviceID)
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return
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}
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if img.Empty() {
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continue
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}
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status = "READY"
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statusColor := color.RGBA{0, 255, 0, 0}
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// first phase of cleaning up image, obtain foreground only
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mog2.Apply(img, &imgDelta)
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// remaining cleanup of the image to use for finding contours.
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// first use threshold
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gocv.Threshold(imgDelta, &imgThresh, 25, 255, gocv.ThresholdBinary)
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// then dilate
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kernel := gocv.GetStructuringElement(gocv.MorphRect, image.Pt(3, 3))
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defer kernel.Close()
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// Erode
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gocv.Erode(imgThresh, &imgThresh, kernel)
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// Dilate
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gocv.Dilate(imgThresh, &imgThresh, kernel)
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// now find contours
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contours := gocv.FindContours(imgThresh, gocv.RetrievalExternal, gocv.ChainApproxSimple)
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for _, c := range contours {
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area := gocv.ContourArea(c)
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if area < float64(minArea) {
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continue
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}
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status = "MOTION DETECTED"
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statusColor = color.RGBA{255, 0, 0, 0}
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//gocv.DrawContours(&img, contours, i, statusColor, 2)
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rect := gocv.BoundingRect(c)
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gocv.Rectangle(&img, rect, color.RGBA{0, 0, 255, 0}, 1)
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}
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gocv.PutText(&img, status, image.Pt(10, 20), gocv.FontHersheyPlain, 1.2, statusColor, 2)
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window1.IMShow(img)
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window2.IMShow(imgThresh)
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if window1.WaitKey(1) == 27 {
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break
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}
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}
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}
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