落地 dnn对象检测

"C:\opencv\opencv\sources\samples\dnn\models.yml"下载opencv的深度模型框架，例如 caffe，copyMobileNetSSD_deploy.prototxt和MobileNetSSD_deploy.caffemodel所在的位置，其中prototxt需要后面生成，这两个文件用于std::string model_text_file和std::string modelFile的读取。

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

using namespace cv;
using namespace cv::dnn;
using namespace std;

String objNames[] = { "background",
"aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair",
"cow", "diningtable", "dog", "horse",
"motorbike", "person", "pottedplant",
"sheep", "sofa", "train", "tvmonitor" };

int main(int argc, char** argv) {
    Mat frame = imread("C:/newword/image/39.jpg");
    if (frame.empty()) {
        printf("could not load image...\n");
        return 0;
    }
    namedWindow("input image", WINDOW_AUTOSIZE);
    imshow("input image", frame);
    std::string model_text_file = "C:/Users/ss/Desktop/newword/dnn/MobileNetSSD_deploy.prototxt";  
    std::string modelFile = "C:/Users/ss/Desktop/newword/dnn/MobileNetSSD_deploy.caffemodel"; //指定Caffe模型的配置文件（.prototxt）和权重文件（.caffemodel）路径，并使用readNetFromCaffe函数加载模型

    Net net = readNetFromCaffe(model_text_file, modelFile);