DeepCamFaceSDK2.0/TEST/tets_centerface/tets_centerface.cpp

// tets_centerface.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"
#include "Inc/CenterFaceMnn.h"
#include "Inc/TimeCount.h"
#include "Inc/LivenessRGB.h"
#include "Inc/FaceQuality.h"
#include "Inc/MobileFaceFeatureDnn.h"
#include "Inc/MobileFaceFeatureMnn.h"

float deepcam_face_compare2(std::vector<float> &feature1, std::vector<float> &feature2)
{
	USE_TIME t("deepcam_face_compare => ");
	if (feature1.size() < 1 || feature1.size() != feature2.size())
	{
		return 0;
	}

	int size = feature1.size();
	float tmp0 = 0, tmp1 = 0, tmp2 = 0;
	for (int i = 0; i < size; i++)
	{
		tmp0 += feature1[i] * feature2[i];
		tmp1 += feature1[i] * feature1[i];
		tmp2 += feature2[i] * feature2[i];
	}
	return (float(tmp0 / (sqrt(tmp1)* sqrt(tmp2))));

}
float deepcam_face_compare(float* feature1, float* feature2)
{
	USE_TIME t("deepcam_face_compare => ");
	float tmp0 = 0, tmp1 = 0, tmp2 = 0;
	for (int i = 0; i < 512; i++)
	{
		tmp0 += feature1[i] * feature2[i];
		tmp1 += feature1[i] * feature1[i];
		tmp2 += feature2[i] * feature2[i];
	}

	float score = (float(tmp0 / (sqrt(tmp1)* sqrt(tmp2))));
	//return score;
	//拉高分数
	float max_score = log10f(1.01);
	float min_score = log10f(0.02);
	float ret, temp;
	if (score <= 0) {
		temp = fabs(score);
		if (temp > 0.3) {
			ret = 0.0001;
		}
		else {
			ret = temp;
		}
	}
	else {
		temp = log10f(score + 0.01);
		ret = fabsf(temp - min_score) / (max_score - min_score);
	}
	return ret;
}

void GetImgFeature(float* feature)
{
	cv::Mat img;
	img = cv::imread("F:/2.jpg");
	cv::imshow("frame2", img);
	std::vector<FaceInfo> faces;
	CenterFaceMnn::GetInstance()->Detect(img, faces);

	//std::vector<float> feature;
	
	if (faces.size() > 0)
	{
		//std::vector<float> landmark;
		//landmark.insert(landmark.end(), faces[0].landmarks, faces[0].landmarks + sizeof(faces[0].landmarks) / sizeof(float));
		//MobileFaceFeatureDnn::GetInstance()->GetFaceFeature(img, faces[0].landmarks, feature);
		MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img, faces[0].landmarks, feature);
	}
}

int main()
{
	//float ff1[512] = { 0.f };
	// GetImgFeature(ff1);

	cv::VideoCapture camera1(0);
	//if (!camera1.isOpened())
	//	return 1;
	while (true)
	{
		cv::Mat img = cv::imread("F:/1.jpg");;
		//camera1 >> img;

		std::vector<FaceInfo> faces;
		{
			//USE_TIME T("CenterFaceMnn => ");
			CenterFaceMnn::GetInstance()->Detect(img, faces);
		}

		if (faces.size() < 1)
		{
			continue;
		}

		for (auto& face : faces)
		{
			float score = 0;
			{
				{
					USE_TIME T("LivenessDetect => ");
					score = LivenessRGB::GetInstance()->LivenessDetect(img, face.landmarks);
				}
				std::cout << "LivenessDetect score  ==>  " << score << std::endl;

				/*			std::vector<float> landmark;
							landmark.insert(landmark.end(), face.landmarks, face.landmarks + sizeof(face.landmarks) / sizeof(float));*/
				
				//std::vector<float> feature;
				float feature[512] = { 0 };
				float feature2[512] = { 0 };
				{
					USE_TIME t("GetFaceFeature => ");
					MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img, face.landmarks, feature);
					//MobileFaceFeatureDnn::GetInstance()->GetFaceFeature(img, face.landmarks, feature);
					GetImgFeature(feature2);
				}
				std::cout << "cmp ================> " << deepcam_face_compare(feature, feature2) << std::endl;
				

				for (int i = 0; i < 5; i++)
				{
					cv::circle(img, cv::Point(face.landmarks[i * 2], face.landmarks[i * 2 + 1]), 2, cv::Scalar(0,0,255));
				}

				
			}
			
			//std::cout << "score ==> " << score << std::endl;
			auto color = cv::Scalar(0, 0,255);
			if (score > 0.7)
			{
				color = cv::Scalar(0, 255, 0);
			}

			int qua = 0;
			{
				//USE_TIME t("FaceQuality ");
				qua = FaceQuality::GetInstance()->DetectQuality(img, cv::Rect(cv::Point(face.x1, face.y1), cv::Point(face.x2, face.y2)));

				cv::Mat pose;
				FaceQuality::GetInstance()->DetectPose(img, cv::Rect(cv::Point(face.x1, face.y1), cv::Point(face.x2, face.y2)), pose);

			}
			//std::cout << "FaceQua =>  " << qua << std::endl;

			cv::putText(img, std::to_string(qua), cv::Point(10, 40), 0, 1, color);
			cv::rectangle(img, cv::Rect(face.x1, face.y1, face.GetWidth(), face.GetHeight()), color, 1);
			for (int i = 0; i < 5; i++)
			{
				cv::circle(img, cv::Point(face.landmarks[i*2], face.landmarks[i * 2 + 1]), 2, color);
			}

			cv::imshow("frame", img);
			cv::waitKey(1);
			break;
		}
		cv::imshow("img", img);
		cv::waitKey(1);
	}
    return 0;
}