在嵌入式开发板上如何用opencv调用caffe模型进行人脸识别并截图呢

989 人脸识别

问答对人有帮助，内容完整，我也想知道答案 0 在嵌入式开发板上如何用opencv调用caffe模型进行人脸识别并截图呢？其代码该如何去实现呢？ 0
2021-12-27 06:56:49　　评论淘帖0 邀请回答您可以邀请以下用户，快速回答问题 × ChristineGu 该类别下有 16 个回答。邀请回答 HengDu 该类别下有 16 个回答。邀请回答 heks 该类别下有 16 个回答。邀请回答 dfasda 该类别下有 15 个回答。邀请回答 nhonglan 该类别下有 15 个回答。邀请回答 yonglanzhang 该类别下有 15 个回答。邀请回答杀狼000 该类别下有 14 个回答。邀请回答 wenminglang 该类别下有 14 个回答。邀请回答 C880U 该类别下有 14 个回答。邀请回答 jhdfvs 该类别下有 14 个回答。邀请回答 chm5 该类别下有 14 个回答。邀请回答 muwersddg 该类别下有 14 个回答。邀请回答 thyysbk 该类别下有 13 个回答。邀请回答凡人wlj 该类别下有 13 个回答。邀请回答 kszdj113 该类别下有 13 个回答。邀请回答飞雪9366 该类别下有 13 个回答。邀请回答 billbian 该类别下有 13 个回答。邀请回答 a732538 该类别下有 13 个回答。邀请回答 hrtuoyu 该类别下有 13 个回答。邀请回答 hfgdzc 该类别下有 13 个回答。邀请回答举报张鹏相关推荐 • 如何使用eop烧写嵌入式开发板的裸板程序呢 961 • 嵌入式开发板开发与SOC系统开发有哪些不同之处呢 1833 • 如何在RK3308嵌入式开发板上使用ncnn部署mobilenetv2_ssdlite模型呢 1045 • 怎样去修改iMX6UL嵌入式开发板的主频呢 1230 • 嵌入式开发板有什么功能？ 2795 • 怎样将OpenCV环境与交叉编译器移植到嵌入式开发平台上呢 1131 • 如何对LS1028A嵌入式开发板进行测试呢 906 • 一文详解Express Pi嵌入式开发板 1041 • 怎样去解决嵌入式开发板出现sudo vi test.c返回错误的问题呢 897 • 如何对嵌入式开发板的时钟进行设置呢 821 1个回答

答案对人有帮助，有参考价值 0 再Ubuntu的上交叉编译的OpenCV到嵌入式开发板交叉编译部分教程如下：文件下载如下（caffemodel和网络模型）：再用opencv调用caffe模型进行人脸识别并截图。这里cap(1)注意下。 #include #include #include #include #include #include using namespace cv; using namespace cv::dnn; using namespace std; const size_t inWidth = 300; const size_t inHeight = 300; const double inScaleFactor = 1.0; const Scalar meanVal(104.0, 177.0, 123.0); int main(int argc, char** argv) { float min_confidence = 0.5; String modelConfiguration = "deploy.prototxt"; String modelBinary = "res10_300x300_ssd_iter_140000.caffemodel"; //! [Initialize network] dnn::Net net = readNetFromCaffe(modelConfiguration, modelBinary); //! [Initialize network] if (net.empty()) { cerr << "Can't load network by using the following files: " << endl; cerr << "prototxt: " << modelConfiguration << endl; cerr << "caffemodel: " << modelBinary << endl; cerr << "Models are available here:" << endl; cerr << "/samples/dnn/face_detector" << endl; cerr << "or here:" << endl; cerr << "https://github.com/opencv/opencv/tree/master/samples/dnn/face_detector" << endl; exit(-1); } VideoCapture cap(1); if (!cap.isOpened()) { cout << "Couldn't open camera : " << endl; return -1; } for (;;) { Mat frame; cap >> frame; // get a new frame from camera/video or read image if (frame.empty()) { waitKey(); break; } if (frame.channels() == 4) cvtColor(frame, frame, COLOR_BGRA2BGR); //! [Prepare blob] Mat inputBlob = blobFromImage(frame, inScaleFactor, Size(inWidth, inHeight), meanVal, false, false); //Convert Mat to batch of images //! [Prepare blob] //! [Set input blob] net.setInput(inputBlob, "data"); //set the network input //! [Set input blob] //! [Make forward pass] Mat detection = net.forward("detection_out"); //compute output //! [Make forward pass] vector layersTimings; double freq = getTickFrequency() / 1000; double time = net.getPerfProfile(layersTimings) / freq; Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr()); ostringstream ss; ss << "FPS: " << 1000 / time << " ; time: " << time << " ms"; putText(frame, ss.str(), Point(30, 80), 2, 2.5, Scalar(0, 0, 255)); float confidenceThreshold = min_confidence; for (int i = 0; i < detectionMat.rows; i++) { float confidence = detectionMat.at(i, 2); if (confidence > confidenceThreshold) { int xLeftBottom = static_cast(detectionMat.at(i, 3) * frame.cols); int yLeftBottom = static_cast(detectionMat.at(i, 4) * frame.rows); int xRightTop = static_cast(detectionMat.at(i, 5) * frame.cols); int yRightTop = static_cast(detectionMat.at(i, 6) * frame.rows); Rect object((int)xLeftBottom, (int)yLeftBottom, (int)(xRightTop - xLeftBottom), (int)(yRightTop - yLeftBottom)); rectangle(frame, object, Scalar(0, 255, 0),8); ss.str(""); ss << confidence; String conf(ss.str()); String label = "Face: " + conf; int baseLine = 0; Size labelSize = getTextSize(label, FONT_HERSHEY_SIMPLEX, 1, 4, &baseLine); rectangle(frame, Rect(Point(xLeftBottom, yLeftBottom - labelSize.height), Size(labelSize.width, labelSize.height + baseLine)), Scalar(255, 255, 255), CV_FILLED); putText(frame, label, Point(xLeftBottom, yLeftBottom), FONT_HERSHEY_SIMPLEX, 1, Scalar(0, 0, 0)); imwrite(label + "jt.jpg",frame); } } //imwrite("jt.jpg",frame); //if (waitKey(1) >= 0) break; } return 0; } arm-linux-gnueabihf-g++ -o camera camera.cpp `pkg-config --cflags --libs opencv`

2021-12-27 14:16:36 评论举报李斌