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2 Commits
feature/as
...
feature/im
| Author | SHA1 | Date | |
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623003a4f7 | ||
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27e99dd2eb |
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25
src/computervision/MenuTest.cpp
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25
src/computervision/MenuTest.cpp
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@@ -0,0 +1,25 @@
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#include "MenuTest.h"
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#include <iostream>
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namespace computervision
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{
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int menu_item_array[4] = { 1, 2, 3, 4 };
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float item_number = 0;
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MenuTest::MenuTest(void) {
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}
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int MenuTest::GetMenuItem(bool hand_state) {
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item_number += 0.20f;
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int temp_item_number = item_number;
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//If temp_item_number is equal to the size of the array, set item_number bac to zero to loop through the array again
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if (temp_item_number == sizeof(menu_item_array) / sizeof(menu_item_array[0])) {
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item_number = 0;
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}
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return menu_item_array[temp_item_number];
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}
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}
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18
src/computervision/MenuTest.h
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18
src/computervision/MenuTest.h
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@@ -0,0 +1,18 @@
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namespace computervision
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{
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class MenuTest {
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public:
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/**
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* @brief Constructor for the class MenuTest, loads in array with menu items
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*
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*/
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MenuTest(void);
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/**
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* @brief Returns the itemnumber in an array
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*
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* @param input_bool is either true or false, depending on the recognized hand gesture
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*/
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int GetMenuItem(bool input_bool);
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};
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}
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@@ -8,10 +8,10 @@
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#include "SkinDetector.h"
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#include "FaceDetector.h"
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#include "FingerCount.h"
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#include "async/StaticCameraInstance.h"
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namespace computervision
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{
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cv::VideoCapture cap(0);
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cv::Mat img, imgGray, img2, img2Gray, img3, img4;
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@@ -24,8 +24,6 @@ namespace computervision
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FaceDetector faceDetector;
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FingerCount fingerCount;
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cv::VideoCapture cap = static_camera::getCap();
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ObjectDetection::ObjectDetection()
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{
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}
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@@ -35,11 +33,6 @@ namespace computervision
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return img;
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}
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cv::VideoCapture ObjectDetection::getCap()
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{
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return cap;
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}
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bool ObjectDetection::detectHand(Mat cameraFrame)
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{
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Mat inputFrame = generateHandMaskSquare(cameraFrame);
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@@ -65,9 +65,6 @@ namespace computervision
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*/
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bool drawHandMaskRect(cv::Mat *input);
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cv::VideoCapture getCap();
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};
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@@ -1,108 +0,0 @@
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#include "OpenPoseVideo.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[7][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}
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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 = 8;
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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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Net net;
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void OpenPoseVideo::setup() {
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net = readNetFromCaffe(protoFile, weightsFile);
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net.setPreferableBackend(DNN_TARGET_CPU);
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}
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void OpenPoseVideo::movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f) {
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std::cout << "movement skeleton start" << std::endl;
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int inWidth = 368;
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int inHeight = 368;
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float thresh = 0.01;
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Mat frame;
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int frameWidth = inputImage.size().width;
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int frameHeight = inputImage.size().height;
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double t = (double)cv::getTickCount();
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std::cout << "reading input image and blob" << std::endl;
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frame = inputImage;
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Mat inpBlob = blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);
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std::cout << "done reading image and blob" << std::endl;
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net.setInput(inpBlob);
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std::cout << "done setting input to net" << std::endl;
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Mat output = net.forward();
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std::cout << "time took to set input and forward: " << t << std::endl;
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int H = output.size[2];
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int W = output.size[3];
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std::cout << "about to find position of boxy parts" << std::endl;
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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(frame, cv::Point((int)p.x, (int)p.y), 8, Scalar(0, 255, 255), -1);
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cv::putText(frame, cv::format("%d", n), cv::Point((int)p.x, (int)p.y), cv::FONT_HERSHEY_COMPLEX, 1.1, 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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cv::putText(frame, cv::format("time taken = %.2f sec", t), cv::Point(50, 50), cv::FONT_HERSHEY_COMPLEX, .8, cv::Scalar(255, 50, 0), 2);
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std::cout << "time taken: " << t << std::endl;
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//imshow("Output-Keypoints", frame);
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//imshow("Output-Skeleton", frame);
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std::cout << "about to call points receiving method" << std::endl;
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f(points,frame);
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}
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}
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@@ -1,19 +0,0 @@
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#pragma once
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#include <opencv2/dnn.hpp>
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#include <opencv2/imgproc.hpp>
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#include <opencv2/highgui.hpp>
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#include <iostream>
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using namespace cv;
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namespace computervision
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{
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class OpenPoseVideo{
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private:
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public:
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void movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f);
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void setup();
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};
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}
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@@ -1,12 +0,0 @@
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#pragma once
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#include <opencv2/videoio.hpp>
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namespace static_camera
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{
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static cv::VideoCapture getCap()
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{
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static cv::VideoCapture cap(0);
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return cap;
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}
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};
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@@ -1,46 +0,0 @@
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#include <iostream>
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#include "async_arm_detection.h"
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#include "../OpenPoseVideo.h"
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#include <thread>
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#include "StaticCameraInstance.h"
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namespace computervision
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{
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AsyncArmDetection::AsyncArmDetection()
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{
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}
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void AsyncArmDetection::run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
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{
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VideoCapture cap = static_camera::getCap();
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std::cout << "STARTING THREAD LAMBDA" << std::endl;
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/*cv::VideoCapture cap = static_camera::getCap();*/
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if (!cap.isOpened())
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{
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std::cout << "capture was closed, opening..." << std::endl;
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cap.open(0);
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}
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while (true)
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{
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Mat img;
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cap.read(img);
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op.movementSkeleton(img, points_ready_func);
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}
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}
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void AsyncArmDetection::start(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
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{
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std::cout << "starting function" << std::endl;
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std::thread async_arm_detect_thread(&AsyncArmDetection::run_arm_detection,this, points_ready_func, op);
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async_arm_detect_thread.detach(); // makes sure the thread is detached from the variable.
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}
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}
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@@ -1,23 +0,0 @@
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#pragma once
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#include <vector>
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#include <opencv2/core/types.hpp>
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#include <opencv2/videoio.hpp>
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#include <functional>
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#include "../OpenPoseVideo.h"
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#include "StaticCameraInstance.h"
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namespace computervision
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{
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class AsyncArmDetection
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{
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public:
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AsyncArmDetection(void);
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void start(std::function<void(std::vector<cv::Point>, cv::Mat poinst_on_image)>, computervision::OpenPoseVideo op);
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private:
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void run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op);
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};
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}
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87
src/main.cpp
87
src/main.cpp
@@ -1,12 +1,12 @@
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#include <GL/glew.h>
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#include <GLFW/glfw3.h>
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#include <glm/gtc/matrix_transform.hpp>
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#include <functional>
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#include <vector>
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#define STB_IMAGE_IMPLEMENTATION
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#include "stb_image.h"
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#include <ostream>
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#include <stdlib.h>
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#include <iostream>
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#include <Windows.h>
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#include <opencv2/core.hpp>
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#include <opencv2/videoio.hpp>
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@@ -19,11 +19,8 @@
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#include "shaders/static_shader.h"
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#include "toolbox/toolbox.h"
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#include "computervision/MenuTest.h"
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#include "computervision/ObjectDetection.h"
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//#include "computervision/OpenPoseImage.h"
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#include "computervision/OpenPoseVideo.h"
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#include "computervision/async/async_arm_detection.h"
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#pragma comment(lib, "glfw3.lib")
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#pragma comment(lib, "glew32s.lib")
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@@ -32,17 +29,7 @@
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static double UpdateDelta();
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static GLFWwindow* window;
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bool points_img_available = false;
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cv::Mat points_img;
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void retrieve_points(std::vector<Point> arm_points, cv::Mat points_on_image)
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{
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std::cout << "got points!!" << std::endl;
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std::cout << "points: " << arm_points << std::endl;
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points_img = points_on_image;
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points_img_available = true;
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}
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int chosen_item = 0;
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int main(void)
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{
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@@ -80,24 +67,11 @@ int main(void)
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// create object detection object instance
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computervision::ObjectDetection objDetect;
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//computervision::OpenPoseImage openPoseImage;
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computervision::OpenPoseVideo openPoseVideo;
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openPoseVideo.setup();
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// set up object detection
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//objDetect.setup();
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//cv::VideoCapture cam = objDetect.getCap();
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cv::Mat img;
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cv::VideoCapture cap = objDetect.getCap();
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//cam.read(img);
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//imshow("camera in main loop", img);
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computervision::AsyncArmDetection as;
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as.start(retrieve_points,openPoseVideo);
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|
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cv::Mat cameraFrame;
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|
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// Main game loop
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while (!glfwWindowShouldClose(window))
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@@ -115,12 +89,55 @@ int main(void)
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|
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render_engine::renderer::Render(entity, shader);
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//objDetect.detectHand(cameraFrame);
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if (points_img_available)
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cameraFrame = objDetect.readCamera();
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|
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////////////////////////// KIMS SHIT ////////////////////////////////////
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computervision::MenuTest menu_test;
|
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//Get hand state from camera
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bool hand_detection = objDetect.detectHand(cameraFrame);
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|
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if (hand_detection)
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{
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imshow("points", points_img);
|
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points_img_available = false;
|
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std::cout << "hand is opened" << std::endl;
|
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|
||||
//Loop through menu items
|
||||
chosen_item = menu_test.GetMenuItem(true);
|
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|
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//For debug only, to see if chosen item is selected properly when hand is opened
|
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std::cout << "chosen item: " << chosen_item << std::endl;
|
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|
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}
|
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else if (!hand_detection)
|
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{
|
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//for debug only, to see if the chosen item is selected properly when hand is closed
|
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std::cout << "hand is closed" << std::endl;
|
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//std::cout << "item to start: " << chosen_item << std::endl;
|
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|
||||
//TODO link chosen item to the correct game states
|
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switch (chosen_item)
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{
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case 1:
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//Game state 0
|
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std::cout << "in case: " << chosen_item << std::endl;
|
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break;
|
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case 2:
|
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//Game state 1
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std::cout << "in case: " << chosen_item << std::endl;
|
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break;
|
||||
case 3:
|
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//Game state 2
|
||||
std::cout << "in case: " << chosen_item << std::endl;
|
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break;
|
||||
case 4:
|
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//Game state 3
|
||||
std::cout << "in case: " << chosen_item << std::endl;
|
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default:
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
///////////////////////// END OF KIMS SHIT ///////////////////////////////
|
||||
|
||||
// Finish up
|
||||
shader.Stop();
|
||||
|
||||
@@ -19,10 +19,9 @@
|
||||
</ProjectConfiguration>
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="src\computervision\async\async_arm_detection.cpp" />
|
||||
<ClCompile Include="src\computervision\FaceDetector.cpp" />
|
||||
<ClCompile Include="src\computervision\MenuTest.cpp" />
|
||||
<ClCompile Include="src\computervision\ObjectDetection.cpp" />
|
||||
<ClCompile Include="src\computervision\OpenPoseVideo.cpp" />
|
||||
<ClCompile Include="src\computervision\SkinDetector.cpp" />
|
||||
<ClCompile Include="src\computervision\FingerCount.cpp" />
|
||||
<ClCompile Include="src\computervision\BackgroundRemover.cpp" />
|
||||
@@ -37,12 +36,10 @@
|
||||
<ClCompile Include="src\toolbox\toolbox.cpp" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ClInclude Include="src\computervision\async\async_arm_detection.h" />
|
||||
<ClInclude Include="src\computervision\async\StaticCameraInstance.h" />
|
||||
<ClInclude Include="src\computervision\FaceDetector.h" />
|
||||
<ClInclude Include="src\computervision\FingerCount.h" />
|
||||
<ClInclude Include="src\computervision\BackgroundRemover.h" />
|
||||
<ClInclude Include="src\computervision\OpenPoseVideo.h" />
|
||||
<ClInclude Include="src\computervision\MenuTest.h" />
|
||||
<ClInclude Include="src\computervision\SkinDetector.h" />
|
||||
<ClInclude Include="src\computervision\ObjectDetection.h" />
|
||||
<ClInclude Include="src\entities\camera.h" />
|
||||
@@ -59,12 +56,6 @@
|
||||
<ItemGroup>
|
||||
<Xml Include="res\haarcascade_frontalface_alt.xml" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<None Include="..\..\Avans Hogeschool\Kim Veldhoen - Proftaak 2.4\pose_iter_160000.caffemodel" />
|
||||
<None Include="res\pose\coco\pose_deploy_linevec.prototxt" />
|
||||
<None Include="res\pose\mpi\pose_deploy_linevec_faster_4_stages.prototxt" />
|
||||
<None Include="res\pose\mpi\pose_iter_160000.caffemodel" />
|
||||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<VCProjectVersion>16.0</VCProjectVersion>
|
||||
<ProjectGuid>{A7ECF1BE-DB22-4BF7-BFF6-E3BF72691EE6}</ProjectGuid>
|
||||
@@ -131,8 +122,8 @@
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
|
||||
<LinkIncremental>false</LinkIncremental>
|
||||
<IncludePath>C:\opencv\build\include\;$(VC_IncludePath);$(WindowsSDK_IncludePath);C:\opencv\opencv\build\include</IncludePath>
|
||||
<LibraryPath>C:\opencv\build\x64\vc15\lib;$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);C:\opencv\opencv\build\x64\vc15\lib</LibraryPath>
|
||||
<IncludePath>$(VC_IncludePath);$(WindowsSDK_IncludePath);;C:\opencv\opencv\build\include</IncludePath>
|
||||
<LibraryPath>$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);C:\opencv\opencv\build\x64\vc15\lib</LibraryPath>
|
||||
</PropertyGroup>
|
||||
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
|
||||
<ClCompile>
|
||||
@@ -205,7 +196,7 @@
|
||||
<OptimizeReferences>true</OptimizeReferences>
|
||||
<GenerateDebugInformation>true</GenerateDebugInformation>
|
||||
<AdditionalLibraryDirectories>$(SolutionDir)lib\glfw-3.3.2\$(Platform);$(SolutionDir)lib\glew-2.1.0\lib\Release\$(Platform);%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
|
||||
<AdditionalDependencies>opencv_world452.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalDependencies>kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies); opencv_world452.lib</AdditionalDependencies>
|
||||
</Link>
|
||||
</ItemDefinitionGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
|
||||
@@ -57,10 +57,7 @@
|
||||
<ClCompile Include="src\computervision\BackgroundRemover.cpp">
|
||||
<Filter>Source Files</Filter>
|
||||
</ClCompile>
|
||||
<ClCompile Include="src\computervision\OpenPoseVideo.cpp">
|
||||
<Filter>Source Files</Filter>
|
||||
</ClCompile>
|
||||
<ClCompile Include="src\computervision\async\async_arm_detection.cpp">
|
||||
<ClCompile Include="src\computervision\MenuTest.cpp">
|
||||
<Filter>Source Files</Filter>
|
||||
</ClCompile>
|
||||
</ItemGroup>
|
||||
@@ -110,23 +107,11 @@
|
||||
<ClInclude Include="src\computervision\BackgroundRemover.h">
|
||||
<Filter>Header Files</Filter>
|
||||
</ClInclude>
|
||||
<ClInclude Include="src\computervision\OpenPoseVideo.h">
|
||||
<Filter>Header Files</Filter>
|
||||
</ClInclude>
|
||||
<ClInclude Include="src\computervision\async\async_arm_detection.h">
|
||||
<Filter>Header Files</Filter>
|
||||
</ClInclude>
|
||||
<ClInclude Include="src\computervision\async\StaticCameraInstance.h">
|
||||
<ClInclude Include="src\computervision\MenuTest.h">
|
||||
<Filter>Header Files</Filter>
|
||||
</ClInclude>
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<Xml Include="res\haarcascade_frontalface_alt.xml" />
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<None Include="res\pose\coco\pose_deploy_linevec.prototxt" />
|
||||
<None Include="res\pose\mpi\pose_deploy_linevec_faster_4_stages.prototxt" />
|
||||
<None Include="res\pose\mpi\pose_iter_160000.caffemodel" />
|
||||
<None Include="..\..\Avans Hogeschool\Kim Veldhoen - Proftaak 2.4\pose_iter_160000.caffemodel" />
|
||||
</ItemGroup>
|
||||
</Project>
|
||||
Reference in New Issue
Block a user