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Use CV_HAAR_DO_CANNY_PRUNING for face detection

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This commit is contained in:
Adrian Zankich 2014-03-04 13:30:41 -08:00
parent 67da16d879
commit 92b88c0895
2 changed files with 1 additions and 2 deletions
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2
opencv/cvaux.go
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@ -63,7 +63,7 @@ func LoadHaarClassifierCascade(haar string) *HaarCascade {
func (this *HaarCascade) DetectObjects(image *IplImage) []*Rect {
storage := C.cvCreateMemStorage(0)
seq := C.cvHaarDetectObjects(unsafe.Pointer(image), this.cascade, storage, 1.1, 3, 0, C.cvSize(0, 0), C.cvSize(0, 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)))))

1
samples/face_detect.go
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@ -14,7 +14,6 @@ func main() {
faces := cascade.DetectObjects(image)
for _, value := range faces {
opencv.Circle(image, opencv.Point{value.X(), value.Y()}, 2, opencv.ScalarAll(255.0), 1, 1, 0)
opencv.Rectangle(image,
opencv.Point{value.X() + value.Width(), value.Y()},
opencv.Point{value.X(), value.Y() + value.Height()},