func main() {
_, currentfile, _, _ := runtime.Caller(0)
filename := path.Join(path.Dir(currentfile), "../images/lena.jpg")
if len(os.Args) == 2 {
filename = os.Args[1]
}
image := opencv.LoadImage(filename)
if image == nil {
panic("LoadImage fail")
}
defer image.Release()
win := opencv.NewWindow("Go-OpenCV")
defer win.Destroy()
win.SetMouseCallback(func(event, x, y, flags int) {
fmt.Printf("event = %d, x = %d, y = %d, flags = %d\n",
event, x, y, flags,
)
})
win.CreateTrackbar("Thresh", 1, 100, func(pos int) {
fmt.Printf("pos = %d\n", pos)
})
win.ShowImage(image)
opencv.WaitKey(0)
}
func TestUtils(t *testing.T) {
_, currentfile, _, _ := runtime.Caller(0)
image := cv.LoadImage(path.Join(path.Dir(currentfile), "lena-256x256.jpg"))
rect := DetectFaces("haarcascade_frontalface_alt.xml", image)
gobot.Refute(t, len(rect), 0)
gobot.Refute(t, DrawRectangles(image, rect, 0, 0, 0, 0), nil)
}
func TestWindowDriverShowImage(t *testing.T) {
d := initTestWindowDriver()
_, currentfile, _, _ := runtime.Caller(0)
image := cv.LoadImage(path.Join(path.Dir(currentfile), "lena-256x256.jpg"))
d.Start()
d.ShowImage(image)
}
func main() {
_, currentfile, _, _ := runtime.Caller(0)
image := opencv.LoadImage(path.Join(path.Dir(currentfile), "../images/lena.jpg"))
cascade := opencv.LoadHaarClassifierCascade(path.Join(path.Dir(currentfile), "haarcascade_frontalface_alt.xml"))
faces := cascade.DetectObjects(image)
for _, value := range faces {
opencv.Rectangle(image,
opencv.Point{value.X() + value.Width(), value.Y()},
opencv.Point{value.X(), value.Y() + value.Height()},
opencv.ScalarAll(255.0), 1, 1, 0)
}
win := opencv.NewWindow("Face Detection")
win.ShowImage(image)
opencv.WaitKey(0)
}
func main() {
_, currentfile, _, _ := runtime.Caller(0)
filename := path.Join(path.Dir(currentfile), "../images/fruits.jpg")
if len(os.Args) == 2 {
filename = os.Args[1]
}
img0 := opencv.LoadImage(filename)
if img0 == nil {
panic("LoadImage fail")
}
defer img0.Release()
fmt.Print("Hot keys: \n",
"\tESC - quit the program\n",
"\tr - restore the original image\n",
"\ti or ENTER - run inpainting algorithm\n",
"\t\t(before running it, paint something on the image)\n",
)
img := img0.Clone()
inpainted := img0.Clone()
inpaint_mask := opencv.CreateImage(img0.Width(), img0.Height(), 8, 1)
opencv.Zero(inpaint_mask)
//opencv.Zero( inpainted )
win := opencv.NewWindow("image")
defer win.Destroy()
prev_pt := opencv.Point{-1, -1}
win.SetMouseCallback(func(event, x, y, flags int, param ...interface{}) {
if img == nil {
os.Exit(0)
}
if event == opencv.CV_EVENT_LBUTTONUP ||
(flags&opencv.CV_EVENT_FLAG_LBUTTON) == 0 {
prev_pt = opencv.Point{-1, -1}
} else if event == opencv.CV_EVENT_LBUTTONDOWN {
prev_pt = opencv.Point{x, y}
} else if event == opencv.CV_EVENT_MOUSEMOVE &&
(flags&opencv.CV_EVENT_FLAG_LBUTTON) != 0 {
pt := opencv.Point{x, y}
if prev_pt.X < 0 {
prev_pt = pt
}
rgb := opencv.ScalarAll(255.0)
opencv.Line(inpaint_mask, prev_pt, pt, rgb, 5, 8, 0)
opencv.Line(img, prev_pt, pt, rgb, 5, 8, 0)
prev_pt = pt
win.ShowImage(img)
}
})
win.ShowImage(img)
opencv.WaitKey(0)
win2 := opencv.NewWindow("inpainted image")
defer win2.Destroy()
win2.ShowImage(inpainted)
for {
key := opencv.WaitKey(20)
if key == 27 {
os.Exit(0)
} else if key == 'r' {
opencv.Zero(inpaint_mask)
opencv.Copy(img0, img, nil)
win.ShowImage(img)
} else if key == 'i' || key == '\n' {
opencv.Inpaint(img, inpaint_mask, inpainted, 3,
opencv.CV_INPAINT_TELEA,
)
win2.ShowImage(inpainted)
}
}
os.Exit(0)
}
func main() {
_, currentfile, _, _ := runtime.Caller(0)
filename := path.Join(path.Dir(currentfile), "../images/lena.jpg")
if len(os.Args) == 2 {
filename = os.Args[1]
}
image := opencv.LoadImage(filename)
if image == nil {
panic("LoadImage fail")
}
defer image.Release()
w := image.Width()
h := image.Height()
// Create the output image
cedge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 3)
defer cedge.Release()
// Convert to grayscale
gray := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
edge := opencv.CreateImage(w, h, opencv.IPL_DEPTH_8U, 1)
defer gray.Release()
defer edge.Release()
opencv.CvtColor(image, gray, opencv.CV_BGR2GRAY)
win := opencv.NewWindow("Edge")
defer win.Destroy()
win.SetMouseCallback(func(event, x, y, flags int, param ...interface{}) {
fmt.Printf("event = %d, x = %d, y = %d, flags = %d\n",
event, x, y, flags,
)
})
win.CreateTrackbar("Thresh", 1, 100, func(pos int, param ...interface{}) {
edge_thresh := pos
opencv.Smooth(gray, edge, opencv.CV_BLUR, 3, 3, 0, 0)
opencv.Not(gray, edge)
// Run the edge detector on grayscale
opencv.Canny(gray, edge, float64(edge_thresh), float64(edge_thresh*3), 3)
opencv.Zero(cedge)
// copy edge points
opencv.Copy(image, cedge, edge)
win.ShowImage(cedge)
fmt.Printf("pos = %d\n", pos)
})
win.ShowImage(image)
for {
key := opencv.WaitKey(20)
if key == 27 {
os.Exit(0)
}
}
os.Exit(0)
}