[EDIT] edited file
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#include "OpenPoseImage.h"
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using namespace std;
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using namespace cv;
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using namespace cv::dnn;
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namespace computervision
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{
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#define MPI
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#ifdef MPI
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const int POSE_PAIRS[14][2] =
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{
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{0,1}, {1,2}, {2,3},
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{3,4}, {1,5}, {5,6},
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{6,7}, {1,14}, {14,8}, {8,9},
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{9,10}, {14,11}, {11,12}, {12,13}
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};
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string protoFile = "res/pose/mpi/pose_deploy_linevec_faster_4_stages.prototxt";
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string weightsFile = "res/pose/mpi/pose_iter_160000.caffemodel";
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int nPoints = 15;
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#endif
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#ifdef COCO
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const int POSE_PAIRS[17][2] =
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{
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{1,2}, {1,5}, {2,3},
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{3,4}, {5,6}, {6,7},
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{1,8}, {8,9}, {9,10},
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{1,11}, {11,12}, {12,13},
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{1,0}, {0,14},
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{14,16}, {0,15}, {15,17}
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};
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string protoFile = "pose/coco/pose_deploy_linevec.prototxt";
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string weightsFile = "pose/coco/pose_iter_440000.caffemodel";
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int nPoints = 18;
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#endif
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void OpenPoseImage::movementSkeleton(Mat inputImage) {
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cout << "USAGE : ./OpenPose <imageFile> " << endl;
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cout << "USAGE : ./OpenPose <imageFile> <device>" << endl;
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string device = "cpu";
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//string imageFile = "single.jpeg";
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// Take arguments from commmand line
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/* if (argc == 2)
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{
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if ((string)argv[1] == "gpu")
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device = "gpu";
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else
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imageFile = argv[1];
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}
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else if (argc == 3)
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{
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imageFile = argv[1];
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if ((string)argv[2] == "gpu")
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device = "gpu";
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}*/
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int inWidth = 368;
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int inHeight = 368;
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float thresh = 0.1;
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Mat frame = inputImage;
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Mat frameCopy = frame.clone();
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int frameWidth = frame.cols;
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int frameHeight = frame.rows;
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double t = (double)cv::getTickCount();
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Net net = readNetFromCaffe(protoFile, weightsFile);
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if (device == "cpu")
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{
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cout << "Using CPU device" << endl;
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net.setPreferableBackend(DNN_TARGET_CPU);
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}
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else if (device == "gpu")
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{
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cout << "Using GPU device" << endl;
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net.setPreferableBackend(DNN_BACKEND_CUDA);
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net.setPreferableTarget(DNN_TARGET_CUDA);
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}
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Mat inpBlob = blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);
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net.setInput(inpBlob);
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Mat output = net.forward();
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int H = output.size[2];
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int W = output.size[3];
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// find the position of the body parts
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vector<Point> points(nPoints);
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for (int n = 0; n < nPoints; n++)
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{
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// Probability map of corresponding body's part.
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Mat probMap(H, W, CV_32F, output.ptr(0, n));
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Point2f p(-1, -1);
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Point maxLoc;
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double prob;
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minMaxLoc(probMap, 0, &prob, 0, &maxLoc);
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if (prob > thresh)
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{
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p = maxLoc;
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p.x *= (float)frameWidth / W;
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p.y *= (float)frameHeight / H;
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circle(frameCopy, cv::Point((int)p.x, (int)p.y), 8, Scalar(0, 255, 255), -1);
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cv::putText(frameCopy, cv::format("%d", n), cv::Point((int)p.x, (int)p.y), cv::FONT_HERSHEY_COMPLEX, 1, cv::Scalar(0, 0, 255), 2);
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}
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points[n] = p;
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}
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int nPairs = sizeof(POSE_PAIRS) / sizeof(POSE_PAIRS[0]);
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for (int n = 0; n < nPairs; n++)
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{
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// lookup 2 connected body/hand parts
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Point2f partA = points[POSE_PAIRS[n][0]];
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Point2f partB = points[POSE_PAIRS[n][1]];
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if (partA.x <= 0 || partA.y <= 0 || partB.x <= 0 || partB.y <= 0)
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continue;
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line(frame, partA, partB, Scalar(0, 255, 255), 8);
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circle(frame, partA, 8, Scalar(0, 0, 255), -1);
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circle(frame, partB, 8, Scalar(0, 0, 255), -1);
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}
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t = ((double)cv::getTickCount() - t) / cv::getTickFrequency();
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cout << "Time Taken = " << t << endl;
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imshow("Output-Keypoints", frameCopy);
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imshow("Output-Skeleton", frame);
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imwrite("Output-Skeleton.jpg", frame);
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}
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}
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