内存泄漏

[j201111100523]

for (int i = 0; i < 100; i++)
{
	//******************** 识别初始化*******************************************************
	ZQ_FaceRecognizer* recognizer[1] = { 0 };
	std::string prototxt_file = "model/mobilefacenet-res2-6-10-2-dim128.zqparams";
	std::string caffemodel_file = "model/mobilefacenet-res2-6-10-2-dim128-emore.nchwbin";
	std::string out_blob_name = "fc5";

	bool fail_flag = false;
	recognizer[0] = new ZQ_FaceRecognizerArcFaceZQCNN();
	if (!recognizer[0]->Init("", prototxt_file, caffemodel_file, out_blob_name))
	{
		cout << "failed to init arcface\n";
		fail_flag = true;
	}

	if (fail_flag)
	{
		if (recognizer[0]) delete recognizer[0];
		return EXIT_FAILURE;
	}
	//***********************************************************************************************
		//***************************add face detect******************************
	Mat image0 = cv::imread("data/14.png", 1);
	if (image0.empty())
	{
		cout << "empty image\n";
		return EXIT_FAILURE;
	}
	std::vector<ZQ_CNN_BBox> thirdBbox;
	std::vector<ZQ_CNN_BBox106> thirdBbox106;
	ZQ_CNN_MTCNN mtcnn;
	int thread_num = 0;
	bool special_handle_very_big_face = false;
	if (!mtcnn.Init("model/det1-dw20-fast.zqparams", "model/det1-dw20-fast.nchwbin",
		"model/det2-dw24-fast.zqparams", "model/det2-dw24-fast.nchwbin",
		//"model/det2.zqparams", "model/det2_bgr.nchwbin",
		"model/det3-dw48-fast.zqparams", "model/det3-dw48-fast.nchwbin",
		thread_num, true, "model/det5-dw112.zqparams", "model/det5-dw112.nchwbin"))
	{
		cout << "failed to init!\n";
		return EXIT_FAILURE;
	}
	mtcnn.SetPara(image0.cols, image0.rows, 60, 0.5, 0.6, 0.8, 0.4, 0.5, 0.5, 0.709, 3, 20, 4, special_handle_very_big_face);
	if (!mtcnn.Find106(image0.data, image0.cols, image0.rows, image0.step[0], thirdBbox106))
	{
		cout << "failed to find face!\n";
	}

	int FeatureLength = recognizer[0]->GetFeatDim();
	//	float * outFeature = new float[FeatureLength];
	Mat NormFace = Mat(recognizer[0]->GetCropHeight(), recognizer[0]->GetCropWidth(), CV_8UC3);
	float face5point_x[5] = { 0 };
	float face5point_y[5] = { 0 };
	std::vector<float> feat0(FeatureLength), feat1(FeatureLength);

ZQ_PIXEL_FMT_BGR, face5point_x, face5point_y, (unsigned char*)(NormFace.data), NormFace.step[0]); recognizer[0]->ExtractFeature((unsigned char*)NormFace.data, NormFace.step[0], ZQ_PIXEL_FMT_BGR, &feat0[0], true);//提取特征 // recognizer[0]->ExtractFeature((unsigned char*)NormFace.data, NormFace.step[0], ZQ_PIXEL_FMT_BGR, &feat1[0], true);//提取特征 float score = recognizer[0]->CalSimilarity(&feat0[0], &feat0[0]);//计算相似度 // cout << "gets score " << score << "\n"; } double t2 = omp_get_wtime(); cout << "time cost:" << t2 - t1 << "s"; if (recognizer[0]) delete recognizer[0]; } 上述代码，运行出现内存泄漏

[j201111100523]

检测部分没出现内存泄漏，泄漏在识别部分

[zuoqing1988]

析构函数的问题，已解决

[j201111100523]

class ZQ_FaceRecognizer
{
public:
	virtual ~ZQ_FaceRecognizer() {}
	virtual bool Init(const std::string model_name

添加析构函数，问题依旧存在

[zuoqing1988]

[j201111100523]

好了，是我这边的问题，感谢左博