高端网站建设步骤,做交易网站需要办什么证,广东省深圳市公司,个人社保缴费查询使用opencv c 来调用caffemodel
使用opencv 得dnn 模块调用 caffemodel得程序#xff0c;图片自己输入就行#xff0c;不做过多得解释#xff0c;看代码清单。 定义手指关节点
const int POSE_PAIRS[20][2] { {0,1}, {1,2}, {2,3}, {3,4}, // thumb {0,5}, {5,6}, {6,7}…使用opencv c 来调用caffemodel
使用opencv 得dnn 模块调用 caffemodel得程序图片自己输入就行不做过多得解释看代码清单。 定义手指关节点
const int POSE_PAIRS[20][2] { {0,1}, {1,2}, {2,3}, {3,4}, // thumb {0,5}, {5,6}, {6,7}, {7,8}, // index {0,9}, {9,10}, {10,11}, {11,12}, // middle {0,13}, {13,14}, {14,15}, {15,16}, // ring {0,17}, {17,18}, {18,19}, {19,20} // small };
string protoFile “hand/pose_deploy.prototxt”; string weightsFile “hand/pose_iter_102000.caffemodel”;
int nPoints 22;
代码清单
#include opencv2/dnn.hpp
#include opencv2/imgproc.hpp
#include opencv2/highgui.hpp
#include iostreamusing namespace std;
using namespace cv;
using namespace cv::dnn;
#ifdef _DEBUG
#pragma comment(lib,opencv_world455d.lib)
#else
#pragma comment(lib,opencv_world455.lib)
#endifconst int POSE_PAIRS[20][2]
{{0,1}, {1,2}, {2,3}, {3,4}, // thumb{0,5}, {5,6}, {6,7}, {7,8}, // index{0,9}, {9,10}, {10,11}, {11,12}, // middle{0,13}, {13,14}, {14,15}, {15,16}, // ring{0,17}, {17,18}, {18,19}, {19,20} // small
};string protoFile hand/pose_deploy.prototxt;
string weightsFile hand/pose_iter_102000.caffemodel;int nPoints 22;int main(int argc, char **argv)
{string imageFile qianbo2.jpg;// Take arguments from commmand lineif (argc 2){imageFile argv[1];}float thresh 0.01;Mat frame imread(imageFile);Mat frameCopy frame.clone();int frameWidth frame.cols;int frameHeight frame.rows;float aspect_ratio frameWidth / (float)frameHeight;int inHeight 368;int inWidth (int(aspect_ratio*inHeight) * 8) / 8;cout inWidth inWidth ; inHeight inHeight endl;double t (double)cv::getTickCount();Net net readNetFromCaffe(protoFile, weightsFile);Mat inpBlob blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);net.setInput(inpBlob);Mat output net.forward();int H output.size[2];int W output.size[3];// find the position of the body partsvectorPoint points(nPoints);for (int n 0; n nPoints; n){// Probability map of corresponding bodys part.Mat probMap(H, W, CV_32F, output.ptr(0, n));resize(probMap, probMap, Size(frameWidth, frameHeight));Point maxLoc;double prob;minMaxLoc(probMap, 0, prob, 0, maxLoc);if (prob thresh){circle(frameCopy, cv::Point((int)maxLoc.x, (int)maxLoc.y), 8, Scalar(0, 255, 255), -1);cv::putText(frameCopy, cv::format(%d, n), cv::Point((int)maxLoc.x, (int)maxLoc.y), cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(0, 0, 255), 2);}points[n] maxLoc;}int nPairs sizeof(POSE_PAIRS) / sizeof(POSE_PAIRS[0]);for (int n 0; n nPairs; n){// lookup 2 connected body/hand partsPoint2f partA points[POSE_PAIRS[n][0]];Point2f partB points[POSE_PAIRS[n][1]];if (partA.x 0 || partA.y 0 || partB.x 0 || partB.y 0)continue;line(frame, partA, partB, Scalar(0, 255, 255), 8);circle(frame, partA, 8, Scalar(0, 0, 255), -1);circle(frame, partB, 8, Scalar(0, 0, 255), -1);}t ((double)cv::getTickCount() - t) / cv::getTickFrequency();cout Time Taken t endl;imshow(Keypoints, frameCopy);imshow(Skeleton, frame);imwrite(out.jpg, frame);waitKey();return 0;
}
