Closed JinLn closed 5 years ago
在SampleMTCNN.cpp程序中修改“mtcnn.SetPara(image0.cols, image0.rows, 20, 0.5, 0.6, 0.8, 0.4, 0.5, 0.5, 0.709, 3, 20, 4, special_handle_very_big_face)”第三个参数为80，会显著增加识别是速度，ZQ_CNN_MTCNN_old.h的类中“void SetPara(int w, int h, int min_face_size = 60, float pthresh = 0.6, float rthresh = 0.7, float othresh = 0.7, float nms_pthresh = 0.6, float nms_rthresh = 0.7, float nms_othresh = 0.7, float scale_factor = 0.709, int pnet_overlap_thresh_count = 4, int pnet_size = 12, int pnet_stride = 2, bool special_handle_very_big_face = false)”的这个函数中的第三个参数是怎么影响识别速度的？
在SampleMTCNN.cpp程序中修改“mtcnn.SetPara(image0.cols, image0.rows, 20, 0.5, 0.6, 0.8, 0.4, 0.5, 0.5, 0.709, 3, 20, 4, special_handle_very_big_face)”第三个参数为80，会显著增加识别是速度，ZQ_CNN_MTCNN_old.h的类中“void SetPara(int w, int h, int min_face_size = 60, float pthresh = 0.6, float rthresh = 0.7, float othresh = 0.7, float nms_pthresh = 0.6, float nms_rthresh = 0.7, float nms_othresh = 0.7, float scale_factor = 0.709, int pnet_overlap_thresh_count = 4, int pnet_size = 12, int pnet_stride = 2, bool special_handle_very_big_face = false)”的这个函数中的第三个参数是怎么影响识别速度的？