seetaface6使用记录

根据landmark，标记出人脸左右眼，和嘴巴， 环境windows7 64位。
根据测试，左眼的点为:36至41，最左边位36,上面37，38，右边39，下边41，40
右眼，最左边42，上面43，44，右边45，下边47，46
嘴巴，最左边48，右边54，上边 49至53,下边，55至58.

#include <iostream>
#include <opencv2/opencv.hpp>

#include "seeta/FaceDetector.h"
#include "seeta/FaceLandmarker.h"
#include "seeta/FaceRecognizer.h"

void extract_feature(const seeta::FaceDetector &FD,
	const seeta::FaceLandmarker &FL,
	const seeta::FaceRecognizer &FR,
	std::string image_path,
	float* feature)
{
	cv::Mat img = cv::imread(image_path);
	SeetaImageData simg;
	simg.height = img.rows;
	simg.width = img.cols;
	simg.channels = img.channels();
	simg.data = img.data;

	auto faces = FD.detect(simg);

	if (faces.size <= 0)
	{
		std::cout << "no face detected in" << image_path << std::endl;
		return;
	}

	SeetaPointF points[5];
	FL.mark(simg, faces.data[0].pos, points);

	FR.Extract(simg, points, feature);
}
typedef std::vector<std::vector<SeetaPointF>> doubleSeetaFace;
int extract_landmark(const seeta::FaceDetector &FD, const seeta::FaceLandmarker &FL, const cv::Mat& img, doubleSeetaFace& points)
{
	points.clear();
	SeetaImageData simg;
	simg.height = img.rows;
	simg.width = img.cols;
	simg.channels = img.channels();
	simg.data = img.data;

	auto faces = FD.detect(simg);

	//size_t face_s = faces.size()
	if (faces.size <= 0)
	{
		std::cout << "no face detected in" << std::endl;
		return 0;
	}

	for (int i = 0; i < faces.size; i++){
		SeetaPointF spoints[68];
		FL.mark(simg, faces.data[i].pos, spoints);
		std::vector<SeetaPointF> pts(spoints, spoints + 68);
		points.push_back(pts);
	}
	return faces.size;
}
int smain()
{
	seeta::ModelSetting fd_setting;
	fd_setting.set_device(SEETA_DEVICE_CPU);
	fd_setting.append("models/face_detector.csta");
	seeta::FaceDetector FD(fd_setting);

	seeta::ModelSetting fl_setting;
	fl_setting.set_device(SEETA_DEVICE_CPU);
	fl_setting.append("models/face_landmarker_pts5.csta");
	seeta::FaceLandmarker FL(fl_setting);

	seeta::ModelSetting fr_setting;
	fr_setting.set_id(0);
	fr_setting.append("models/face_recognizer.csta");
	fr_setting.set_device(SEETA_DEVICE_CPU);
	seeta::FaceRecognizer FR(fr_setting);

	std::shared_ptr<float> feature1(new float[FR.GetExtractFeatureSize()]);
	std::shared_ptr<float> feature2(new float[FR.GetExtractFeatureSize()]);

	extract_feature(FD, FL, FR, "1.jpg", feature1.get());
	extract_feature(FD, FL, FR, "2.jpg", feature2.get());

	float sim = FR.CalculateSimilarity(feature1.get(), feature2.get());

	std::cout << "face's similarity in 1.png and 2.png is" << sim << std::endl;
	system("pause");
	return 0;
}
#include <stdio.h>

void detect_Face()
{
	seeta::ModelSetting fd_setting;
	fd_setting.set_device(SEETA_DEVICE_CPU);
	fd_setting.append("models/face_detector.csta");
	seeta::FaceDetector FD(fd_setting);

	seeta::ModelSetting fl_setting;
	fl_setting.set_device(SEETA_DEVICE_CPU);
	fl_setting.append("models/face_landmarker_pts68.csta");
	seeta::FaceLandmarker FL(fl_setting);

	cv::VideoCapture cap(0);
	cv::Mat frame;
	doubleSeetaFace points;

	int radiusCircle = 2;
	cv::Scalar colorCircle1(0, 0, 255); // (B, G, R)
	int thicknessCircle1 = 2;

	int font_face = cv::FONT_HERSHEY_COMPLEX;
	double font_scale = 0.3;
	int thickness = 1;

	
	while (cap.read(frame))
	{
		cv::flip(frame, frame, 1);

		int face_nums = extract_landmark(FD, FL, frame, points);
		cv::Rect leftEye, rightEye, mouth;
		for (auto iter = points.begin(); iter != points.end(); iter++)
		{
			auto jter = iter->begin();

			leftEye.x = (jter+36)->x;
			leftEye.y = (jter+37)->y;
			leftEye.width = (jter+39)->x - leftEye.x;
			leftEye.height = (jter+41)->y - leftEye.y;

			leftEye.x -= 10;
			leftEye.y -= 10;
			leftEye.width += 20;
			leftEye.height += 20;

			rightEye.x = (jter+42)->x;
			rightEye.y = (jter+43)->y;
			rightEye.width = (jter+45)->x - rightEye.x;
			rightEye.height = (jter+47)->y - rightEye.y;

			rightEye.x -= 10;
			rightEye.y -= 10;
			rightEye.width += 20;
			rightEye.height += 20;

			mouth.x = (jter+48)->x;
			mouth.y = (jter+50)->y;
			mouth.width = (jter+54)->x - mouth.x;
			mouth.height = (jter+57)->y - mouth.y;

			mouth.x -= 10;
			mouth.y -= 10;
			mouth.width += 20;
			mouth.height += 20;

			cv::rectangle(frame, leftEye, colorCircle1);
			cv::rectangle(frame, rightEye, colorCircle1);
			cv::rectangle(frame, mouth, colorCircle1);
#if 0
			int count = 0;

			std::vector<SeetaPointF> pt(iter->begin(), iter->end());
			
			for (auto jter = iter->begin(); jter != iter->end(); jter++)
			{
				cv::Point ps(jter->x, jter->y);
				cv::Point ws(ps.x, ps.y - 5);

				/*char str[256];
				sprintf_s(str, 256, "%d", count++);

				cv::putText(frame, str, ws, font_face, font_scale, cv::Scalar(0, 255, 255), thickness, 8, 0);
				cv::circle(frame, ps, radiusCircle, colorCircle1, thicknessCircle1);*/
			}
#endif
		}
		
		//cv::resize(frame, frame, cv::Size(frame.cols * 2.5, frame.rows * 2.5));
		cv::imshow("detect.jpg", frame);
		cv::waitKey(20);
	}
	cap.release();
}

int main(int argc, char** argv)
{
	detect_Face();
}

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