Public Member Functions
std::vector< cv::Rect >	cvDetectFaces (const cv::Mat &inputImage, const cv::Size &paddedSize)

QList< QRect >	detectFaces (const cv::Mat &inputImage, const cv::Size &paddedSize)

	OpenCVDNNFaceDetector (DetectorNNModel model=DetectorNNModel::SSDMOBILENET)

cv::Mat	prepareForDetection (const DImg &inputImage, cv::Size &paddedSize) const

cv::Mat	prepareForDetection (const QImage &inputImage, cv::Size &paddedSize) const

cv::Mat	prepareForDetection (const QString &inputImagePath, cv::Size &paddedSize) const

	~OpenCVDNNFaceDetector ()

Static Public Member Functions
static int	recommendedImageSizeForDetection ()

Constructor & Destructor Documentation

◆ OpenCVDNNFaceDetector()

Digikam::OpenCVDNNFaceDetector::OpenCVDNNFaceDetector ( DetectorNNModel model = DetectorNNModel::SSDMOBILENET )

explicit

References Digikam::SSDMOBILENET, and Digikam::YOLO.

◆ ~OpenCVDNNFaceDetector()

Digikam::OpenCVDNNFaceDetector::~OpenCVDNNFaceDetector ( )

Member Function Documentation

◆ cvDetectFaces()

std::vector< cv::Rect > Digikam::OpenCVDNNFaceDetector::cvDetectFaces	(	const cv::Mat &	inputImage,
		const cv::Size &	paddedSize
	)

References Digikam::DNNFaceDetectorBase::detectFaces().

Referenced by detectFaces().

◆ detectFaces()

QList< QRect > Digikam::OpenCVDNNFaceDetector::detectFaces	(	const cv::Mat &	inputImage,
		const cv::Size &	paddedSize
	)

There is no proof that doing this will help, since face can be detected at various positions (even half, masked faces can be detected), not only frontal. Effort on doing this should be questioned. TODO: Restructure and improve Face Detection module.

void OpenCVDNNFaceDetector::resizeBboxToStandardHumanFace(int& width, int& height) { Human head sizes data https://en.wikipedia.org/wiki/Human_head#Average_head_sizes

float maxRatioFrontalFace    = 15.4 / 15.5;
float minRatioNonFrontalFace = 8.6  / 21.6;

float r = width*1.0/height, rReference;

if      ((r >= minRatioNonFrontalFace*0.9) && r <= (maxRatioFrontalFace * 1.1))
{
    rReference = r;
}
else if (r <= 0.25)
{
    rReference = r * 1.5;
}
else if (r >= 4)
{
    rReference = r / 1.5;
}
else if (r < minRatioNonFrontalFace * 0.9)
{
    rReference = minRatioNonFrontalFace;
}
else if (r > maxRatioFrontalFace * 1.1)
{
    rReference = maxRatioFrontalFace;
}

if (width > height)
{
    height = width / rReference;
}
else
{
    width = height * rReference;
}

}

References cvDetectFaces().