OpenCV3 dnn 调用caff model

rj_monck

于 2018-10-17 19:11:17 发布

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本文链接：https://blog.youkuaiyun.com/rj1457365980/article/details/83116077

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这段代码演示了如何利用OpenCV3的dnn模块读取Caffe模型，从faster_rcnn_zf.prototxt和ZF_faster_rcnn_final.caffemodel文件中加载网络，并对'road.avi'视频进行目标检测。程序计算每一帧的处理时间，并将检测到的物体用矩形框标出，显示在图像上。

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#include "stdafx.h"
#include <opencv2/dnn.hpp>
#include <opencv2/dnn/all_layers.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <time.h>
#include <iostream>
using namespace cv;
using namespace dnn;
using namespace std;
const char* keys =
"{ help h | | print help message }"
"{ proto p | | path to .prototxt }"
"{ model m | | path to .caffemodel }"
"{ image i | | path to input image }"
"{ conf c | 0.8 | minimal confidence }";

const char* classNames[] = {
   "__background__",
   "aeroplane", "bicycle", "bird", "boat",
   "bottle", "bus", "car", "cat", "chair",
   "cow", "diningtable", "dog", "horse",

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