// DrawRectangles uses Rect array values to return image with rectangles drawn.
func DrawRectangles(image *cv.IplImage, rect []*cv.Rect, r int, g int, b int, thickness int) *cv.IplImage {
for _, value := range rect {
cv.Rectangle(image,
cv.Point{value.X() + value.Width(), value.Y()},
cv.Point{value.X(), value.Y() + value.Height()},
cv.NewScalar(float64(b), float64(g), float64(r), 0), thickness, 1, 0)
}
return image
}
func CaptureFrames() {
var cam = opencv.NewCameraCapture(0)
defer cam.Release()
frames := []*opencv.IplImage{}
//var writter = opencv.NewVideoWriter("test.avi", int(opencv.FOURCC('D','I','V','3')),20, 50, 50, 1)
win := opencv.NewWindow("Go-OpenCV Webcam123")
defer win.Destroy()
for framesCounter := 0; framesCounter <= 25; framesCounter++ {
log.Print(framesCounter)
if cam.GrabFrame() || framesCounter > 25 {
// var frame = cam.RetrieveFrame(1)
// var img = ProcessImage(frame, 50)
// frames = append(frames, img)
var frame = cam.RetrieveFrame(1)
win.ShowImage(frame)
// var img3 = frame.ToImage()
var imageHeader = opencv.CreateImage(frame.Width(), frame.Height(), frame.Depth(), frame.Channels())
for i := 0; i < frame.Width(); i++ {
for j := 0; j < frame.Height(); j++ {
scalar := frame.Get2D(i, j)
var bgra = scalar.Val()
var newscalar = opencv.NewScalar(bgra[0], bgra[1], bgra[2], 1)
imageHeader.Set2D(i, j, newscalar)
}
}
// var img3Opencv = opencv.FromImage(img3)
var copy = opencv.CreateImage(frame.Width(), frame.Height(), frame.Depth(), frame.Channels())
opencv.Copy(frame, copy, nil)
// frames = append(frames, img3Opencv)
//win.ShowImage(imageHeader)
}
}
var videoWritter = NewVideoWriter(opencv.FOURCC('D', 'I', 'V', '3'), 20, opencv.Size{frames[0].Width(), frames[0].Height()})
videoWritter.SaveAsVideo(frames, "test.avi")
}
func processResponse(resp *http.Response) error {
var imgExtension string
// skip not modified or other weird headers that dont include payload
if resp.StatusCode != 200 {
return nil
}
// skip gzipped assets that ignored us when told no gzip
if "gzip" == resp.Header.Get("Content-Encoding") {
return nil
}
switch resp.Header.Get("Content-Type") {
case "image/jpeg":
imgExtension = ".jpg"
case "image/png":
imgExtension = ".png"
case "image/gif":
imgExtension = ".gif"
}
if "" != imgExtension {
//log.Println("Processing", resp.Request.Method, resp.Request.URL.String())
// save locally
fileName := path.Join(os.TempDir(), strconv.FormatInt(time.Now().UnixNano(), 10)+imgExtension)
file, _ := os.Create(fileName)
defer os.Remove(fileName)
// dump Body to file
io.Copy(file, resp.Body)
file.Close()
resp.Body.Close()
// detect faces
image := opencv.LoadImage(fileName, -1)
defer image.Release()
if image != nil {
cascade := opencv.LoadHaarClassifierCascade("./deface_files/haarcascade_frontalface_alt.xml")
faces := cascade.DetectObjects(image)
// replace faces
if len(faces) > 0 {
rageGuy := opencv.LoadImage("./deface_files/rage-guy.png", -1)
defer rageGuy.Release()
for _, value := range faces {
faceWidth := value.Width()
faceHeight := value.Height()
faceX := value.X()
faceY := value.Y()
if (faceWidth <= 0) || (faceHeight <= 0) || (faceX > image.Width()) || (faceY > image.Height()) {
//log.Println("Invalid rectangle for", resp.Request.Method, resp.Request.URL.String(), faceWidth, faceHeight, faceX, faceY)
continue
}
resizedRageGuy := opencv.Resize(rageGuy, faceWidth, faceHeight, 0)
rect := &opencv.Rect{}
rect.Init(faceX, faceY, faceWidth, faceHeight)
image.SetROI(*rect)
// blending them horribly inefficiently because cvSplit/cvThreshold are not exposed in go
// and dont want to link to C
for y := 0; y < resizedRageGuy.Height(); y++ {
for x := 0; x < resizedRageGuy.Width(); x++ {
src := image.Get2D(x, y).Val()
overlay := resizedRageGuy.Get2D(x, y).Val()
if overlay[3] > 0 {
image.Set2D(x, y, opencv.NewScalar(overlay[0], overlay[1], overlay[2], src[3]))
}
}
}
image.ResetROI()
resizedRageGuy.Release()
}
}
// save modified image and pass it to Body
opencv.SaveImage(fileName, image, 0)
} else {
//log.Println("Couldnt load image", resp.Request.Method, resp.Request.URL.String())
}
file, _ = os.Open(fileName)
resp.Body = ioutil.NopCloser(file)
// update content length
fileInfo, _ := file.Stat()
resp.ContentLength = fileInfo.Size()
resp.Header.Set("Content-Length", strconv.FormatInt(fileInfo.Size(), 10))
}
return nil
}
var eyeMarker = NewEyeMarker(cascade)
var copy = opencv.CreateImage(v.currentFrameIn.Width(), v.currentFrameIn.Height(), v.currentFrameIn.Depth(), v.currentFrameIn.Channels())
var copy2 = opencv.CreateImage(v.currentFrameIn.Width(), v.currentFrameIn.Height(), v.currentFrameIn.Depth(), v.currentFrameIn.Channels())
opencv.Copy(v.currentFrameIn, copy, nil)
opencv.Copy(v.currentFrameIn, copy2, nil)
var rois = eyeMarker.MarkEyesRects(copy)
if len(rois) > 0 {
copy.SetROI(*rois[0])
copy = ProcessRoi(copy, 75)
//var gray = opencv.CreateImage(copy.Width(),copy.Height(),opencv.IPL_DEPTH_8U,1)
//copy.SetROI(*rois[0])
var circels = HoughCircles1(copy)
log.Print(circels)
for i := 0; i < len(circels); i++ {
var center = opencv.Point{rois[0].X() + int(circels[i].X), rois[0].Y() + int(circels[0].Y)}
//var center = opencv.Point{int(circels[i].X),int(circels[0].Y)}
opencv.Circle(copy2, center, int(circels[i].R), opencv.NewScalar(255, 0, 0, 1), 1, 1, 0)
//src *IplImage, dp float64, min_dist float64, param1 float64, param2 float64, min_radius int, max_radius int
}
copy.ResetROI()
}
v.framesOut = append(v.framesOut, copy2)
}
type Process func(*VideoProcessor)
func MarkRoi() {
//
// var fourcc = opencv.FOURCC('m','p','4','v')
// var fps = float32(video.GetProperty(opencv.CV_CAP_PROP_FPS))
// var size = opencv.Size{int(video.GetProperty(opencv.CV_CAP_PROP_FRAME_WIDTH)),
// int(video.GetProperty(opencv.CV_CAP_PROP_FRAME_HEIGHT))};
//
// log.Print("fourcc: ", fourcc)
// log.Print("fps: ", fps)
// log.Print("size: ", size)
//
// defer video.Release()
win := opencv.NewWindow("Go-OpenCV Webcam")
defer win.Destroy()
win2 := opencv.NewWindow("rect cam: ")
win2.Move(400, 0)
defer win2.Destroy()
_, currentfile, _, _ := runtime.Caller(0)
var cascade = path.Join(path.Dir(currentfile), "/../cascades/haarcascade_eye_tree_eyeglasses.xml")
var eyeMarker = NewEyeMarker(cascade)
var cap = NewVideoCapture(path.Join(path.Dir(currentfile), "/../eyevid1.mp4"))
//var cap = NewVideoCapture("")
var rois []*opencv.Rect
for {
var frame = cap.GetFrame()
if frame == nil {
break
}
img := frame
var copy = opencv.CreateImage(img.Width(), img.Height(), opencv.IPL_DEPTH_8U, 3)
opencv.Copy(img, copy, nil)
rois = eyeMarker.MarkEyesRects(copy)
if len(rois) > 0 {
log.Print(rois[0])
copy.SetROI(*rois[0])
copy = ProcessRoi(copy, 25)
//var gray = opencv.CreateImage(copy.Width(),copy.Height(),opencv.IPL_DEPTH_8U,1)
//copy.SetROI(*rois[0])
var circels = HoughCircles1(copy)
log.Print(circels)
for i := 0; i < len(circels); i++ {
var center = opencv.Point{rois[0].X() + int(circels[i].X), rois[0].Y() + int(circels[0].Y)}
//var center = opencv.Point{int(circels[i].X),int(circels[0].Y)}
opencv.Circle(img, center, int(circels[i].R), opencv.NewScalar(255, 0, 0, 1), 1, 1, 0)
//src *IplImage, dp float64, min_dist float64, param1 float64, param2 float64, min_radius int, max_radius int
}
copy.ResetROI()
}
win.ShowImage(img)
win2.ShowImage(copy)
key := opencv.WaitKey(10)
if key == 27 {
os.Exit(0)
}
}
os.Exit(0)
}