Golang C.cvSize类(方法)实例源码

func (self *HaarClassifierCascade) DetectObjects(image *IplImage, storage *MemStorage, scale float64, minNeighbors, flags int, minSize, maxSize Size) []*Rect {
	c_storage := (*C.CvMemStorage)(storage)
	c_self := (*C.CvHaarClassifierCascade)(self)

	c_seq := C.cvHaarDetectObjects(
		unsafe.Pointer(image),
		c_self,
		c_storage,
		C.double(scale),
		C.int(minNeighbors),
		C.int(flags),
		C.cvSize(C.int(minSize.Width), C.int(minSize.Height)),
		C.cvSize(C.int(maxSize.Width), C.int(maxSize.Height)),
	)

	seq := (*Seq)(c_seq)

	var arr []*Rect
	var r Rect

	seq.ForEach(reflect.TypeOf(r), func(obj interface{}) {
		arr = append(arr, obj.(*Rect))
	})

	return arr
}

func dendriteCam(deltaE chan float32, config Configuration) {
	camera := C.cvCaptureFromCAM(-1)

	// Shutdown dendrite if no camera detected.
	if camera == nil {
		fmt.Printf("WARNING: No camera detected. Shutting down DendriteCam\n")
		return
	}

	C.cvSetCaptureProperty(camera, C.CV_CAP_PROP_FRAME_WIDTH, 160)
	C.cvSetCaptureProperty(camera, C.CV_CAP_PROP_FRAME_HEIGHT, 120)

	// Capture original frame.
	prev := C.cvCloneImage(C.cvQueryFrame(camera))

	// Save out the first frame for debuging purposes.
	file := C.CString("frame.png")
	C.cvSaveImage(file, unsafe.Pointer(prev), nil)
	C.free(unsafe.Pointer(file))

	flow := C.cvCreateImage(C.cvSize(prev.width, prev.height), C.IPL_DEPTH_32F, 2)
	prevG := C.cvCreateImage(C.cvSize(prev.width, prev.height), C.IPL_DEPTH_8U, 1)
	nextG := C.cvCreateImage(C.cvSize(prev.width, prev.height), C.IPL_DEPTH_8U, 1)
	C.cvConvertImage(unsafe.Pointer(prev), unsafe.Pointer(prevG), 0)

	for {
		C.cvGrabFrame(camera)

		// Capture the new frame and convert it to grayscale.
		next := C.cvCloneImage(C.cvQueryFrame(camera))
		C.cvConvertImage(unsafe.Pointer(prev), unsafe.Pointer(prevG), 0)
		C.cvConvertImage(unsafe.Pointer(next), unsafe.Pointer(nextG), 0)

		C.cvCalcOpticalFlowFarneback(unsafe.Pointer(prevG), unsafe.Pointer(nextG), unsafe.Pointer(flow), 0.5, 2, 5, 2, 5, 1.1, 0)
		deltaE <- float32(calcDeltaEnergy(flow, &config))

		C.cvReleaseImage(&prev)
		prev = next
	}

	// Never reached - but here in comments for completeness.
	//C.cvReleaseImage(&prev)
	//C.cvReleaseImage(&nextG)
	//C.cvReleaseImage(&prevG)
	//C.cvReleaseImage(&flow)
	//C.cvReleaseCapture(&camera)
}

/* Allocates and initializes IplImage header */
func CreateImageHeader(w, h, depth, channels int) *IplImage {
	hdr := C.cvCreateImageHeader(
		C.cvSize(C.int(w), C.int(h)),
		C.int(depth),
		C.int(channels),
	)
	return (*IplImage)(hdr)
}

/* Inializes IplImage header */
func (img *IplImage) InitHeader(w, h, depth, channels, origin, align int) {
	C.cvInitImageHeader(
		(*C.IplImage)(img),
		C.cvSize(C.int(w), C.int(h)),
		C.int(depth),
		C.int(channels),
		C.int(origin),
		C.int(align),
	)
}

func detect(tarImg *C.IplImage) *C.CvSeq {
	cvHCC := (*C.CvHaarClassifierCascade)(
		C.cvLoad(C.CString("./config/haarcascade_frontalface_default.xml"),
			(*C.CvMemStorage)(nil),
			(*C.char)(nil),
			(**C.char)(nil)))
	cvMStr := C.cvCreateMemStorage(0)

	return C.cvHaarDetectObjects(
		unsafe.Pointer(tarImg),
		cvHCC,
		cvMStr,
		1.11,
		3,
		0,
		C.cvSize(0, 0),
		C.cvSize(0, 0),
	)
}

/* initialize video file writer */
func NewVideoWriter(filename string,
	fourcc int, fps float32,
	frame_width, frame_height,
	is_color int) *VideoWriter {

	size := C.cvSize(C.int(frame_width), C.int(frame_height))
	filename_c := C.CString(filename)
	defer C.free(unsafe.Pointer(filename_c))

	rv := C.cvCreateVideoWriter(filename_c,
		C.int(fourcc), C.double(fps), size, C.int(is_color),
	)
	return (*VideoWriter)(rv)
}

func main() {
	fmt.Println("Hello World!")
	text := C.CString("Hello World!")
	defer C.free(unsafe.Pointer(text))
	C.cvNamedWindow(text, 1)
	img := unsafe.Pointer(C.cvCreateImage(C.cvSize(640, 480), C.IPL_DEPTH_8U, 1))
	C.cvSet(img, C.cvScalar(0, 0, 0, 0), nil)
	var font C.CvFont
	C.cvInitFont(&font, C.CV_FONT_HERSHEY_SIMPLEX|C.CV_FONT_ITALIC,
		1.0, 1.0, 0, 1, 8)
	C.cvPutText(img, text, C.cvPoint(200, 400), &font,
		C.cvScalar(255, 255, 0, 0))
	C.cvShowImage(text, img)
	C.cvWaitKey(0)
}

/* Creates IPL image (header and data) */
func CreateImage(w, h, depth, channels int) *IplImage {
	size := C.cvSize(C.int(w), C.int(h))
	img := C.cvCreateImage(size, C.int(depth), C.int(channels))
	return (*IplImage)(img)
}

func (this *HaarCascade) DetectObjects(image *IplImage) []*Rect {
	storage := C.cvCreateMemStorage(0)
	seq := C.cvHaarDetectObjects(unsafe.Pointer(image), this.cascade, storage, 1.1, 3, C.CV_HAAR_DO_CANNY_PRUNING, C.cvSize(0, 0), C.cvSize(0, 0))
	var faces []*Rect
	for i := 0; i < (int)(seq.total); i++ {
		rect := (*Rect)((*_Ctype_CvRect)(unsafe.Pointer(C.cvGetSeqElem(seq, C.int(i)))))
		faces = append(faces, rect)
	}

	storage_c := (*C.CvMemStorage)(storage)
	C.cvReleaseMemStorage(&storage_c)

	return faces
}

func LoadHaarClassifierCascade(haar string) *HaarCascade {
	haarCascade := new(HaarCascade)
	haarCascade.cascade = C.cvLoadHaarClassifierCascade(C.CString(haar), C.cvSize(1, 1))
	return haarCascade
}

func measure(deltaC chan Command, videoFile string, debug bool, config Configuration) {
	camera, err := getVideoSource(videoFile)
	if err != nil {
		// No valid video source. Abort measuring.
		log.Printf("ERROR: Unable to get video source")
		log.Print(err)
		return
	}
	defer C.cvReleaseCapture(&camera)

	// Make sure we release the camera when the operating system crushes us.
	c := make(chan os.Signal, 1)
	signal.Notify(c, os.Interrupt)
	go func() {
		<-c
		log.Printf("INFO: The OS shut down the scout.")
		C.cvReleaseCapture(&camera)
		return
	}()

	scene := initScene()

	// Build the calibration frame from disk.
	var calibrationFrame *C.IplImage
	if _, err := os.Stat("calibrationFrame.jpg"); err == nil {
		file := C.CString("calibrationFrame.jpg")

		calibrationFrame = C.cvLoadImage(file, C.CV_LOAD_IMAGE_COLOR)
		defer C.cvReleaseImage(&calibrationFrame)

		C.free(unsafe.Pointer(file))
	} else {
		log.Printf("ERROR: Unable to measure, missing calibration frame")
		log.Print(err)
		return
	}

	// Create a frame to hold the foreground mask results.
	mask := C.cvCreateImage(C.cvSize(calibrationFrame.width, calibrationFrame.height), C.IPL_DEPTH_8U, 1)
	defer C.cvReleaseImage(&mask)

	// Push the initial calibration frame into the MOG2 image subtractor.
	C.initMOG2(C.int(config.MogHistoryLength), C.double(config.MogThreshold), C.int(config.MogDetectShadows))
	C.applyMOG2(unsafe.Pointer(calibrationFrame), unsafe.Pointer(mask))

	// Current frame counter.
	frame := int64(0)
	measuring := true

	// Start monitoring from the camera.
	for measuring && C.cvGrabFrame(camera) != 0 {
		// See if there are any new commands on the deltaC channel.
		select {
		case c := <-deltaC:
			switch {
			case c == STOP_MEASURE:
				log.Printf("INFO: Stopping measure")
				measuring = false
			}

		default:
			// Procceed with measuring.
		}

		// Subtract the calibration frame from the current frame.
		nextFrame := C.cvRetrieveFrame(camera, 0)
		C.applyMOG2(unsafe.Pointer(nextFrame), unsafe.Pointer(mask))

		// Filter the foreground mask to clean up any noise or holes (morphological-closing).
		C.cvSmooth(unsafe.Pointer(mask), unsafe.Pointer(mask), C.CV_GAUSSIAN, C.int(config.GaussianSmooth), 0, 0.0, 0.0)
		C.cvThreshold(unsafe.Pointer(mask), unsafe.Pointer(mask), C.double(config.ForegroundThresh), 255, 0)
		C.cvDilate(unsafe.Pointer(mask), unsafe.Pointer(mask), nil, C.int(config.DilationIterations))

		// Detect contours in filtered foreground mask
		storage := C.cvCreateMemStorage(0)
		contours := C.cvCreateSeq(0, C.size_t(unsafe.Sizeof(C.CvSeq{})), C.size_t(unsafe.Sizeof(C.CvPoint{})), storage)
		offset := C.cvPoint(C.int(0), C.int(0))
		num := int(C.cvFindContours(unsafe.Pointer(mask), storage, &contours, C.int(unsafe.Sizeof(C.CvContour{})),
			C.CV_RETR_LIST, C.CV_CHAIN_APPROX_SIMPLE, offset))

		var detectedObjects []Waypoint

		// Track each of the detected contours.
		for contours != nil {
			area := float64(C.cvContourArea(unsafe.Pointer(contours), C.cvSlice(0, 0x3fffffff), 0))

			// Only track large objects.
			if area > config.MinArea {
				boundingBox := C.cvBoundingRect(unsafe.Pointer(contours), 0)
				w := int(boundingBox.width / 2)
				h := int(boundingBox.height / 2)
				x := int(boundingBox.x) + w
				y := int(boundingBox.y) + h

				detectedObjects = append(detectedObjects, Waypoint{x, y, w, h, 0.0})

				if debug {
					// DEBUG -- Render contours and bounding boxes around detected objects.
					pt1 := C.cvPoint(boundingBox.x, boundingBox.y)
					pt2 := C.cvPoint(boundingBox.x+boundingBox.width, boundingBox.y+boundingBox.height)
//.........这里部分代码省略.........