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feature/ca
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feature/St
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7679555059 |
2
.gitignore
vendored
@@ -428,6 +428,4 @@ FodyWeavers.xsd
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**/docs/*
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**/doc/*
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**/pose_iter_160000.caffemodel
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# End of https://www.toptal.com/developers/gitignore/api/c++,visualstudio,visualstudiocode,opencv
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res/menu_item_calibrate1.png
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res/menu_item_calibrate1_click.png
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res/menu_item_calibrate1_hover.png
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res/menu_item_quit1.png
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res/menu_item_quit1_click.png
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res/menu_item_quit1_hover.png
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res/menu_item_start.png
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res/menu_item_start1.png
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res/menu_item_start1_click.png
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res/menu_item_start1_hover.png
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53
src/computervision/FaceDetector.cpp
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@@ -0,0 +1,53 @@
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#include "FaceDetector.h"
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/*
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Author: Pierfrancesco Soffritti https://github.com/PierfrancescoSoffritti
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*/
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namespace computervision
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{
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Rect getFaceRect(Mat input);
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String faceClassifierFileName = "res/haarcascade_frontalface_alt.xml";
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CascadeClassifier faceCascadeClassifier;
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FaceDetector::FaceDetector(void) {
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if (!faceCascadeClassifier.load(faceClassifierFileName))
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throw runtime_error("can't load file " + faceClassifierFileName);
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}
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void FaceDetector::removeFaces(Mat input, Mat output) {
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vector<Rect> faces;
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Mat frameGray;
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cvtColor(input, frameGray, CV_BGR2GRAY);
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equalizeHist(frameGray, frameGray);
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faceCascadeClassifier.detectMultiScale(frameGray, faces, 1.1, 2, 0 | 2, Size(120, 120)); // HAAR_SCALE_IMAGE is 2
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for (size_t i = 0; i < faces.size(); i++) {
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rectangle(
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output,
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Point(faces[i].x, faces[i].y),
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Point(faces[i].x + faces[i].width, faces[i].y + faces[i].height),
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Scalar(0, 0, 0),
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-1
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);
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}
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}
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Rect getFaceRect(Mat input) {
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vector<Rect> faceRectangles;
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Mat inputGray;
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cvtColor(input, inputGray, CV_BGR2GRAY);
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equalizeHist(inputGray, inputGray);
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faceCascadeClassifier.detectMultiScale(inputGray, faceRectangles, 1.1, 2, 0 | 2, Size(120, 120)); // HAAR_SCALE_IMAGE is 2
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if (faceRectangles.size() > 0)
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return faceRectangles[0];
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else
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return Rect(0, 0, 1, 1);
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}
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}
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31
src/computervision/FaceDetector.h
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@@ -0,0 +1,31 @@
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#pragma once
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#include <opencv2/opencv.hpp>
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#include <opencv2/imgproc/types_c.h>
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#include <opencv2/objdetect.hpp>
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#include <opencv2/core.hpp>
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#include <opencv2/objdetect/objdetect.hpp>
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/*
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Author: Pierfrancesco Soffritti https://github.com/PierfrancescoSoffritti
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*/
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using namespace cv;
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using namespace std;
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namespace computervision
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{
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class FaceDetector {
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public:
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/**
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* @brief Constructor for the class FaceDetector, loads training data from a file
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*
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*/
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FaceDetector(void);
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/**
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* @brief Detects faces on an image and blocks them with a black rectangle
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*
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* @param input Input image
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* @param output Output image
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*/
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void removeFaces(Mat input, Mat output);
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};
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}
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@@ -14,7 +14,6 @@
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namespace computervision
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{
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FingerCount::FingerCount(void) {
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color_blue = Scalar(255, 0, 0);
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color_green = Scalar(0, 255, 0);
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@@ -36,6 +35,9 @@ namespace computervision
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if (input_image.channels() != 1)
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return contours_image;
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vector<vector<Point>> contours;
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vector<Vec4i> hierarchy;
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findContours(input_image, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
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// we need at least one contour to work
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@@ -43,7 +45,7 @@ namespace computervision
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return contours_image;
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// find the biggest contour (let's suppose it's our hand)
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biggest_contour_index = -1;
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int biggest_contour_index = -1;
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double biggest_area = 0.0;
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for (int i = 0; i < contours.size(); i++) {
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@@ -154,11 +156,6 @@ namespace computervision
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return contours_image;
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}
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void FingerCount::DrawHandContours(Mat& image)
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{
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drawContours(image, contours, biggest_contour_index, color_green, 2, 8, hierarchy);
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}
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int FingerCount::getAmountOfFingers()
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{
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return amount_of_fingers;
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@@ -31,15 +31,7 @@ namespace computervision
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*/
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int getAmountOfFingers();
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void DrawHandContours(Mat& image);
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private:
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int biggest_contour_index;
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vector<vector<Point>> contours;
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vector<Vec4i> hierarchy;
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// colors to use
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Scalar color_blue;
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Scalar color_green;
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@@ -123,7 +115,5 @@ namespace computervision
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* @param with_numbers if the numbers should be drawn with the points
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*/
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void drawVectorPoints(Mat image, vector<Point> points, Scalar color, bool with_numbers);
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};
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}
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@@ -1,105 +0,0 @@
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#include "HandDetectRegion.h"
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namespace computervision
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{
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HandDetectRegion::HandDetectRegion(std::string id,int x_pos, int y_pos, int width, int height)
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{
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region_id = id;
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start_x_pos = x_pos;
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start_y_pos = y_pos;
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region_width = width;
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region_height = height;
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hand_mask_generated = false;
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hand_present = false;
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}
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void HandDetectRegion::DetectHand(cv::Mat& camera_frame)
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{
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Mat input_frame = GenerateHandMaskSquare(camera_frame);
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frame_out = input_frame.clone();
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// detect skin color
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skin_detector.drawSkinColorSampler(camera_frame,start_x_pos,start_y_pos,region_width,region_height);
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// remove background from image
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foreground = background_remover.getForeground(input_frame);
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// detect the hand contours
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handMask = skin_detector.getSkinMask(foreground);
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// draw the hand rectangle on the camera input, and draw text showing if the hand is open or closed.
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DrawHandMask(&camera_frame);
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//imshow("output" + region_id, frame_out);
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//imshow("foreground" + region_id, foreground);
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//imshow("handMask" + region_id, handMask);
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/*imshow("handDetection", fingerCountDebug);*/
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hand_present = hand_calibrator.CheckIfHandPresent(handMask,handcalibration::HandDetectionType::GAME);
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//std::string text = (hand_present ? "hand" : "no");
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//cv::putText(camera_frame, text, cv::Point(start_x_pos, start_y_pos), cv::FONT_HERSHEY_COMPLEX, 2.0, cv::Scalar(0, 255, 255), 2);
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hand_calibrator.SetHandPresent(hand_present);
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//draw black rectangle behind calibration information text
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cv::rectangle(camera_frame, cv::Rect(0, camera_frame.rows - 55, 450, camera_frame.cols), cv::Scalar(0, 0, 0), -1);
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hand_calibrator.DrawBackgroundSkinCalibrated(camera_frame);
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}
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cv::Mat HandDetectRegion::GenerateHandMaskSquare(cv::Mat img)
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{
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cv::Mat mask = cv::Mat::zeros(img.size(), img.type());
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cv::Mat distance_img = cv::Mat::zeros(img.size(), img.type());
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cv::rectangle(mask, cv::Rect(start_x_pos, start_y_pos, region_width, region_height), cv::Scalar(255, 255, 255), -1);
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img.copyTo(distance_img, mask);
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hand_mask_generated = true;
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return distance_img;
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}
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bool HandDetectRegion::DrawHandMask(cv::Mat* input)
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{
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if (!hand_mask_generated) return false;
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rectangle(*input, Rect(start_x_pos, start_y_pos, region_width, region_height), (hand_present ? Scalar(0, 255, 0) : Scalar(0,0,255)),2);
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return true;
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}
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bool HandDetectRegion::IsHandPresent()
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{
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return hand_present;
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}
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void HandDetectRegion::CalibrateBackground()
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{
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std::cout << "calibrating background " << region_id << std::endl;
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background_remover.calibrate(frame_out);
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hand_calibrator.SetBackGroundCalibrated(true);
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}
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void HandDetectRegion::CalibrateSkin()
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{
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skin_detector.calibrate(frame_out);
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hand_calibrator.SetSkinCalibration(true);
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}
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std::vector<int> HandDetectRegion::CalculateSkinTresholds()
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{
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std::cout << "calibrating skin " << region_id << std::endl;
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hand_calibrator.SetSkinCalibration(true);
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return skin_detector.calibrateAndReturn(frame_out);
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}
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void HandDetectRegion::setSkinTresholds(std::vector<int>& tresholds)
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{
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std::cout << "setting skin " << region_id << std::endl;
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skin_detector.setTresholds(tresholds);
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hand_calibrator.SetSkinCalibration(true);
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}
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}
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@@ -1,56 +0,0 @@
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#pragma once
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#include <opencv2/core.hpp>
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#include <opencv2/imgproc.hpp>
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#include "async/StaticCameraInstance.h"
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#include "calibration/HandCalibrator.h"
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#include "BackgroundRemover.h"
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#include "SkinDetector.h"
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#include "FingerCount.h"
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namespace computervision
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{
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class HandDetectRegion
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{
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public:
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HandDetectRegion(std::string id,int x_pos, int y_pos, int width, int height);
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void SetXPos(int x) { start_x_pos = x; }
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void SetYPos(int y) { start_y_pos = y; }
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int GetXPos() { return start_x_pos; }
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int GetYPos() { return start_y_pos; }
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void SetWidth(int width) { region_width = width; }
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void SetHeigth(int height) { region_height = height; }
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int GetWidth() { return region_width; }
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int GetHeight() { return region_height; }
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cv::Mat GenerateHandMaskSquare(cv::Mat img);
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void DetectHand(cv::Mat& camera_frame);
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bool IsHandPresent();
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void CalibrateBackground();
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void CalibrateSkin();
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std::vector<int> CalculateSkinTresholds();
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void setSkinTresholds(std::vector<int>& tresholds);
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private:
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int start_x_pos;
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int start_y_pos;
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int region_height;
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int region_width;
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bool hand_mask_generated;
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bool hand_present;
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cv::Mat frame, frame_out, handMask, foreground, fingerCountDebug;
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BackgroundRemover background_remover;
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SkinDetector skin_detector;
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handcalibration::HandCalibrator hand_calibrator;
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std::string region_id;
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bool DrawHandMask(cv::Mat* input);
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};
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}
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@@ -6,142 +6,117 @@
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#include "ObjectDetection.h"
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#include "BackgroundRemover.h"
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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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#include "calibration/HandCalibrator.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, img_gray, img2, img2_gray, img3, img4;
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cv::Mat img, imgGray, img2, img2Gray, img3, img4;
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int hand_mask_start_x_pos, hand_mask_start_y_pos, hand_mask_width, hand_mask_height;
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bool hand_mask_generated = false;
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int handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight;
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bool handMaskGenerated = false;
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Mat frame, frame_out, handMask, foreground, fingerCountDebug;
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BackgroundRemover background_remover;
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SkinDetector skin_detector;
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FingerCount finger_count;
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handcalibration::HandCalibrator hand_calibrator;
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cv::VideoCapture cap = static_camera::getCap();
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Mat frame, frameOut, handMask, foreground, fingerCountDebug;
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BackgroundRemover backgroundRemover;
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SkinDetector skinDetector;
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FaceDetector faceDetector;
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FingerCount fingerCount;
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ObjectDetection::ObjectDetection()
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{
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}
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cv::Mat ObjectDetection::ReadCamera() {
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cv::Mat ObjectDetection::readCamera() {
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cap.read(img);
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return img;
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}
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cv::VideoCapture ObjectDetection::GetCap()
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bool ObjectDetection::detectHand(Mat cameraFrame)
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{
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return cap;
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}
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bool ObjectDetection::DetectHand(Mat camera_frame, bool& hand_present)
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{
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Mat input_frame = GenerateHandMaskSquare(camera_frame);
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frame_out = input_frame.clone();
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Mat inputFrame = generateHandMaskSquare(cameraFrame);
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frameOut = inputFrame.clone();
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// detect skin color
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skin_detector.drawSkinColorSampler(camera_frame);
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skinDetector.drawSkinColorSampler(frameOut);
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// remove background from image
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foreground = background_remover.getForeground(input_frame);
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foreground = backgroundRemover.getForeground(inputFrame);
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// detect the hand contours
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handMask = skin_detector.getSkinMask(foreground);
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handMask = skinDetector.getSkinMask(foreground);
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// count the amount of fingers and put the info on the matrix
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fingerCountDebug = finger_count.findFingersCount(handMask, frame_out);
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fingerCountDebug = fingerCount.findFingersCount(handMask, frameOut);
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// get the amount of fingers
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int fingers_amount = finger_count.getAmountOfFingers();
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int fingers_amount = fingerCount.getAmountOfFingers();
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// draw the hand rectangle on the camera input, and draw text showing if the hand is open or closed.
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DrawHandMask(&camera_frame);
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drawHandMaskRect(&cameraFrame);
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string hand_text = fingers_amount > 0 ? "open" : "closed";
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putText(cameraFrame,hand_text, Point(10, 75), FONT_HERSHEY_PLAIN, 2.0, Scalar(255, 0, 255),3);
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imshow("camera", cameraFrame);
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hand_calibrator.SetAmountOfFingers(fingers_amount);
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finger_count.DrawHandContours(camera_frame);
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hand_calibrator.DrawHandCalibrationText(camera_frame);
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imshow("camera", camera_frame);
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/*imshow("output", frame_out);
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/* imshow("output", frameOut);
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imshow("foreground", foreground);
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imshow("handMask", handMask);
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imshow("handDetection", fingerCountDebug);*/
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hand_present = hand_calibrator.CheckIfHandPresent(handMask,handcalibration::HandDetectionType::MENU);
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hand_calibrator.SetHandPresent(hand_present);
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int key = waitKey(1);
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if (key == 98) // b, calibrate the background
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{
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background_remover.calibrate(input_frame);
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hand_calibrator.SetBackGroundCalibrated(true);
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}
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backgroundRemover.calibrate(inputFrame);
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else if (key == 115) // s, calibrate the skin color
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{
|
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skin_detector.calibrate(input_frame);
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hand_calibrator.SetSkinCalibration(true);
|
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|
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}
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|
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skinDetector.calibrate(inputFrame);
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|
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return fingers_amount > 0;
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}
|
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|
||||
void ObjectDetection::CalculateDifference()
|
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void ObjectDetection::calculateDifference()
|
||||
{
|
||||
cap.read(img);
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cap.read(img2);
|
||||
|
||||
cv::cvtColor(img, img_gray, cv::COLOR_RGBA2GRAY);
|
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cv::cvtColor(img2, img2_gray, cv::COLOR_RGBA2GRAY);
|
||||
cv::cvtColor(img, imgGray, cv::COLOR_RGBA2GRAY);
|
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cv::cvtColor(img2, img2Gray, cv::COLOR_RGBA2GRAY);
|
||||
|
||||
cv::absdiff(img_gray, img2_gray, img3);
|
||||
cv::absdiff(imgGray, img2Gray, img3);
|
||||
cv::threshold(img3, img4, 50, 170, cv::THRESH_BINARY);
|
||||
|
||||
imshow("threshold", img4);
|
||||
}
|
||||
|
||||
|
||||
cv::Mat ObjectDetection::GenerateHandMaskSquare(cv::Mat img)
|
||||
cv::Mat ObjectDetection::generateHandMaskSquare(cv::Mat img)
|
||||
{
|
||||
hand_mask_start_x_pos = 20;
|
||||
hand_mask_start_y_pos = img.rows / 5;
|
||||
hand_mask_width = img.cols / 3;
|
||||
hand_mask_height = img.cols / 3;
|
||||
handMaskStartXPos = 20;
|
||||
handMaskStartYPos = img.rows / 5;
|
||||
handMaskWidth = img.cols / 3;
|
||||
handMaskHeight = img.cols / 3;
|
||||
|
||||
|
||||
cv::Mat mask = cv::Mat::zeros(img.size(), img.type());
|
||||
cv::Mat distance_img = cv::Mat::zeros(img.size(), img.type());
|
||||
cv::Mat dstImg = cv::Mat::zeros(img.size(), img.type());
|
||||
|
||||
cv::rectangle(mask, Rect(hand_mask_start_x_pos, hand_mask_start_y_pos, hand_mask_width, hand_mask_height), Scalar(255, 255, 255), -1);
|
||||
cv::rectangle(mask, Rect(handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight), Scalar(255, 255, 255), -1);
|
||||
|
||||
img.copyTo(distance_img, mask);
|
||||
img.copyTo(dstImg, mask);
|
||||
|
||||
hand_mask_generated = true;
|
||||
return distance_img;
|
||||
handMaskGenerated = true;
|
||||
return dstImg;
|
||||
|
||||
}
|
||||
|
||||
bool ObjectDetection::DrawHandMask(cv::Mat* input)
|
||||
bool ObjectDetection::drawHandMaskRect(cv::Mat* input)
|
||||
{
|
||||
if (!hand_mask_generated) return false;
|
||||
rectangle(*input, Rect(hand_mask_start_x_pos, hand_mask_start_y_pos, hand_mask_width, hand_mask_height), Scalar(255, 255, 255));
|
||||
if (!handMaskGenerated) return false;
|
||||
rectangle(*input, Rect(handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight), Scalar(255, 255, 255));
|
||||
return true;
|
||||
}
|
||||
|
||||
void ObjectDetection::ShowWebcam()
|
||||
void ObjectDetection::showWebcam()
|
||||
{
|
||||
imshow("Webcam image", img);
|
||||
}
|
||||
|
||||
@@ -27,13 +27,13 @@ namespace computervision
|
||||
* @brief Displays an image of the current webcam-footage
|
||||
*
|
||||
*/
|
||||
void ShowWebcam();
|
||||
void showWebcam();
|
||||
/**
|
||||
* @brief Calculates the difference between two images
|
||||
* and outputs an image that only shows the difference
|
||||
*
|
||||
*/
|
||||
void CalculateDifference();
|
||||
void calculateDifference();
|
||||
|
||||
/**
|
||||
* @brief generates the square that will hold the mask in which the hand will be detected.
|
||||
@@ -41,51 +41,29 @@ namespace computervision
|
||||
* @param img the current camear frame
|
||||
* @return a matrix containing the mask
|
||||
*/
|
||||
cv::Mat GenerateHandMaskSquare(cv::Mat img);
|
||||
cv::Mat generateHandMaskSquare(cv::Mat img);
|
||||
|
||||
/**
|
||||
* @brief reads the camera and returns it in a matrix.
|
||||
*
|
||||
* @return the camera frame in a matrix
|
||||
*/
|
||||
cv::Mat ReadCamera();
|
||||
cv::Mat readCamera();
|
||||
|
||||
/**
|
||||
* @brief detects a hand based on the given hand mask input frame.
|
||||
*
|
||||
* @param inputFrame the input frame from the camera
|
||||
* @param hand_present boolean that will hold true if the hand is detected, false if not.
|
||||
* @return true if hand is open, false if hand is closed
|
||||
*/
|
||||
bool DetectHand(cv::Mat camera_frame, bool& hand_present);
|
||||
bool detectHand(cv::Mat cameraFrame);
|
||||
|
||||
/**
|
||||
* @brief draws the hand mask rectangle on the given input matrix.
|
||||
*
|
||||
* @param input the input matrix to draw the rectangle on
|
||||
*/
|
||||
bool DrawHandMask(cv::Mat *input);
|
||||
|
||||
/**
|
||||
* @brief checks if the hand of the user is open.
|
||||
*
|
||||
* @return true if the hand is open, false if not.
|
||||
*/
|
||||
bool IsHandOpen();
|
||||
|
||||
|
||||
/**
|
||||
* @brief checks whether the hand is held within the detection square.
|
||||
*
|
||||
* @return true if the hand is in the detection square, false if not.
|
||||
*/
|
||||
bool IsHandPresent();
|
||||
|
||||
cv::VideoCapture GetCap();
|
||||
|
||||
private:
|
||||
bool is_hand_open;
|
||||
bool is_hand_present;
|
||||
bool drawHandMaskRect(cv::Mat *input);
|
||||
|
||||
};
|
||||
|
||||
|
||||
@@ -1,108 +0,0 @@
|
||||
#include "OpenPoseVideo.h"
|
||||
|
||||
using namespace std;
|
||||
using namespace cv;
|
||||
using namespace cv::dnn;
|
||||
|
||||
namespace computervision
|
||||
{
|
||||
#define MPI
|
||||
|
||||
#ifdef MPI
|
||||
const int POSE_PAIRS[7][2] =
|
||||
{
|
||||
{0,1}, {1,2}, {2,3},
|
||||
{3,4}, {1,5}, {5,6},
|
||||
{6,7}
|
||||
};
|
||||
|
||||
string protoFile = "res/pose/mpi/pose_deploy_linevec_faster_4_stages.prototxt";
|
||||
string weightsFile = "res/pose/mpi/pose_iter_160000.caffemodel";
|
||||
|
||||
int nPoints = 8;
|
||||
#endif
|
||||
|
||||
#ifdef COCO
|
||||
const int POSE_PAIRS[17][2] =
|
||||
{
|
||||
{1,2}, {1,5}, {2,3},
|
||||
{3,4}, {5,6}, {6,7},
|
||||
{1,8}, {8,9}, {9,10},
|
||||
{1,11}, {11,12}, {12,13},
|
||||
{1,0}, {0,14},
|
||||
{14,16}, {0,15}, {15,17}
|
||||
};
|
||||
|
||||
string protoFile = "pose/coco/pose_deploy_linevec.prototxt";
|
||||
string weightsFile = "pose/coco/pose_iter_440000.caffemodel";
|
||||
|
||||
int nPoints = 18;
|
||||
#endif
|
||||
Net net;
|
||||
|
||||
void OpenPoseVideo::setup() {
|
||||
net = readNetFromCaffe(protoFile, weightsFile);
|
||||
|
||||
net.setPreferableBackend(DNN_TARGET_CPU);
|
||||
}
|
||||
|
||||
void OpenPoseVideo::movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f) {
|
||||
std::cout << "movement skeleton start" << std::endl;
|
||||
|
||||
int inWidth = 368;
|
||||
int inHeight = 368;
|
||||
float thresh = 0.01;
|
||||
|
||||
Mat frame;
|
||||
int frameWidth = inputImage.size().width;
|
||||
int frameHeight = inputImage.size().height;
|
||||
|
||||
double t = (double)cv::getTickCount();
|
||||
std::cout << "reading input image and blob" << std::endl;
|
||||
|
||||
frame = inputImage;
|
||||
Mat inpBlob = blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);
|
||||
|
||||
std::cout << "done reading image and blob" << std::endl;
|
||||
|
||||
net.setInput(inpBlob);
|
||||
|
||||
std::cout << "done setting input to net" << std::endl;
|
||||
Mat output = net.forward();
|
||||
std::cout << "time took to set input and forward: " << t << std::endl;
|
||||
|
||||
int H = output.size[2];
|
||||
int W = output.size[3];
|
||||
|
||||
std::cout << "about to find position of boxy parts" << std::endl;
|
||||
// find the position of the body parts
|
||||
vector<Point> points(nPoints);
|
||||
for (int n = 0; n < nPoints; n++)
|
||||
{
|
||||
// Probability map of corresponding body's part.
|
||||
Mat probMap(H, W, CV_32F, output.ptr(0, n));
|
||||
|
||||
Point2f p(-1, -1);
|
||||
Point maxLoc;
|
||||
double prob;
|
||||
minMaxLoc(probMap, 0, &prob, 0, &maxLoc);
|
||||
if (prob > thresh)
|
||||
{
|
||||
p = maxLoc;
|
||||
p.x *= (float)frameWidth / W;
|
||||
p.y *= (float)frameHeight / H;
|
||||
|
||||
circle(frame, cv::Point((int)p.x, (int)p.y), 8, Scalar(0, 255, 255), -1);
|
||||
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);
|
||||
}
|
||||
points[n] = p;
|
||||
}
|
||||
|
||||
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);
|
||||
std::cout << "time taken: " << t << std::endl;
|
||||
//imshow("Output-Keypoints", frame);
|
||||
//imshow("Output-Skeleton", frame);
|
||||
std::cout << "about to call points receiving method" << std::endl;
|
||||
f(points,frame);
|
||||
}
|
||||
}
|
||||
@@ -1,19 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include <opencv2/dnn.hpp>
|
||||
#include <opencv2/imgproc.hpp>
|
||||
#include <opencv2/highgui.hpp>
|
||||
#include <iostream>
|
||||
|
||||
using namespace cv;
|
||||
|
||||
namespace computervision
|
||||
{
|
||||
class OpenPoseVideo{
|
||||
private:
|
||||
|
||||
public:
|
||||
void movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f);
|
||||
void setup();
|
||||
};
|
||||
}
|
||||
@@ -1,5 +1,4 @@
|
||||
#include "SkinDetector.h"
|
||||
#include <iostream>
|
||||
|
||||
/*
|
||||
Author: Pierfrancesco Soffritti https://github.com/PierfrancescoSoffritti
|
||||
@@ -24,7 +23,7 @@ namespace computervision
|
||||
int frameWidth = input.size().width, frameHeight = input.size().height;
|
||||
|
||||
int rectangleSize = 25;
|
||||
Scalar rectangleColor = Scalar(0, 255, 255);
|
||||
Scalar rectangleColor = Scalar(255, 0, 255);
|
||||
|
||||
skinColorSamplerRectangle1 = Rect(frameWidth / 5, frameHeight / 2, rectangleSize, rectangleSize);
|
||||
skinColorSamplerRectangle2 = Rect(frameWidth / 5, frameHeight / 3, rectangleSize, rectangleSize);
|
||||
@@ -42,29 +41,6 @@ namespace computervision
|
||||
);
|
||||
}
|
||||
|
||||
void SkinDetector::drawSkinColorSampler(Mat input,int x, int y,int width, int height) {
|
||||
int frameWidth = width, frameHeight = height;
|
||||
|
||||
int rectangleSize = 25;
|
||||
Scalar rectangleColor = Scalar(0, 255, 255);
|
||||
|
||||
skinColorSamplerRectangle1 = Rect(frameWidth / 5 + x, frameHeight / 2 + y, rectangleSize, rectangleSize);
|
||||
skinColorSamplerRectangle2 = Rect(frameWidth / 5 + x, frameHeight / 3 + y, rectangleSize, rectangleSize);
|
||||
|
||||
rectangle(
|
||||
input,
|
||||
skinColorSamplerRectangle1,
|
||||
rectangleColor
|
||||
);
|
||||
|
||||
rectangle(
|
||||
input,
|
||||
skinColorSamplerRectangle2,
|
||||
rectangleColor
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
void SkinDetector::calibrate(Mat input) {
|
||||
|
||||
Mat hsvInput;
|
||||
@@ -78,19 +54,6 @@ namespace computervision
|
||||
calibrated = true;
|
||||
}
|
||||
|
||||
std::vector<int> SkinDetector::calibrateAndReturn(Mat input)
|
||||
{
|
||||
Mat hsvInput;
|
||||
cvtColor(input, hsvInput, CV_BGR2HSV);
|
||||
|
||||
Mat sample1 = Mat(hsvInput, skinColorSamplerRectangle1);
|
||||
Mat sample2 = Mat(hsvInput, skinColorSamplerRectangle2);
|
||||
|
||||
calibrated = true;
|
||||
return calculateAndReturnTresholds(sample1, sample2);
|
||||
|
||||
}
|
||||
|
||||
void SkinDetector::calculateThresholds(Mat sample1, Mat sample2) {
|
||||
int offsetLowThreshold = 80;
|
||||
int offsetHighThreshold = 30;
|
||||
@@ -112,39 +75,6 @@ namespace computervision
|
||||
//vHighThreshold = 255;
|
||||
}
|
||||
|
||||
std::vector<int> SkinDetector::calculateAndReturnTresholds(Mat sample1, Mat sample2)
|
||||
{
|
||||
|
||||
calculateThresholds(sample1, sample2);
|
||||
std::vector<int> res;
|
||||
res.push_back(hLowThreshold);
|
||||
res.push_back(hHighThreshold);
|
||||
res.push_back(sLowThreshold);
|
||||
res.push_back(sHighThreshold);
|
||||
res.push_back(vLowThreshold);
|
||||
res.push_back(vHighThreshold);
|
||||
return res;
|
||||
}
|
||||
|
||||
void SkinDetector::setTresholds(std::vector<int>& tresholds)
|
||||
{
|
||||
if (tresholds.size() != 6)
|
||||
{
|
||||
std::cout << "tresholds array not the right size!" << std::endl;
|
||||
return;
|
||||
}
|
||||
|
||||
hLowThreshold = tresholds[0];
|
||||
hHighThreshold = tresholds[1];
|
||||
sLowThreshold = tresholds[2];
|
||||
sHighThreshold = tresholds[3];
|
||||
vLowThreshold = tresholds[4];
|
||||
vHighThreshold = tresholds[5];
|
||||
|
||||
calibrated = true;
|
||||
|
||||
}
|
||||
|
||||
Mat SkinDetector::getSkinMask(Mat input) {
|
||||
Mat skinMask;
|
||||
|
||||
|
||||
@@ -24,9 +24,6 @@ namespace computervision
|
||||
*/
|
||||
void drawSkinColorSampler(Mat input);
|
||||
|
||||
void drawSkinColorSampler(Mat input, int x, int y, int width, int heigth);
|
||||
|
||||
|
||||
/*
|
||||
* @brief calibrates the skin color detector with the given input frame
|
||||
*
|
||||
@@ -34,10 +31,6 @@ namespace computervision
|
||||
*/
|
||||
void calibrate(Mat input);
|
||||
|
||||
std::vector<int> calibrateAndReturn(Mat input);
|
||||
|
||||
void setTresholds(std::vector<int>& tresholds);
|
||||
|
||||
/*
|
||||
* @brief gets the mask for the hand
|
||||
*
|
||||
@@ -70,8 +63,6 @@ namespace computervision
|
||||
*/
|
||||
void calculateThresholds(Mat sample1, Mat sample2);
|
||||
|
||||
std::vector<int> calculateAndReturnTresholds(Mat sample1, Mat sample2);
|
||||
|
||||
/**
|
||||
* @brief the opening. it generates the structuring element and performs the morphological transformations required to detect the hand.
|
||||
* This needs to be done to get the skin mask.
|
||||
|
||||
@@ -1,12 +0,0 @@
|
||||
#pragma once
|
||||
#include <opencv2/videoio.hpp>
|
||||
|
||||
namespace static_camera
|
||||
{
|
||||
|
||||
static cv::VideoCapture getCap()
|
||||
{
|
||||
static cv::VideoCapture cap(0);
|
||||
return cap;
|
||||
}
|
||||
};
|
||||
@@ -1,46 +0,0 @@
|
||||
#include <iostream>
|
||||
#include "async_arm_detection.h"
|
||||
#include "../OpenPoseVideo.h"
|
||||
#include <thread>
|
||||
#include "StaticCameraInstance.h"
|
||||
|
||||
|
||||
namespace computervision
|
||||
{
|
||||
AsyncArmDetection::AsyncArmDetection()
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
void AsyncArmDetection::run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
|
||||
{
|
||||
VideoCapture cap = static_camera::getCap();
|
||||
|
||||
std::cout << "STARTING THREAD LAMBDA" << std::endl;
|
||||
/*cv::VideoCapture cap = static_camera::GetCap();*/
|
||||
|
||||
if (!cap.isOpened())
|
||||
{
|
||||
std::cout << "capture was closed, opening..." << std::endl;
|
||||
cap.open(0);
|
||||
}
|
||||
|
||||
while (true)
|
||||
{
|
||||
Mat img;
|
||||
cap.read(img);
|
||||
op.movementSkeleton(img, points_ready_func);
|
||||
}
|
||||
}
|
||||
|
||||
void AsyncArmDetection::start(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
|
||||
{
|
||||
|
||||
std::cout << "starting function" << std::endl;
|
||||
|
||||
|
||||
std::thread async_arm_detect_thread(&AsyncArmDetection::run_arm_detection,this, points_ready_func, op);
|
||||
|
||||
async_arm_detect_thread.detach(); // makes sure the thread is detached from the variable.
|
||||
}
|
||||
}
|
||||
@@ -1,23 +0,0 @@
|
||||
#pragma once
|
||||
#include <vector>
|
||||
#include <opencv2/core/types.hpp>
|
||||
#include <opencv2/videoio.hpp>
|
||||
#include <functional>
|
||||
#include "../OpenPoseVideo.h"
|
||||
#include "StaticCameraInstance.h"
|
||||
|
||||
|
||||
namespace computervision
|
||||
{
|
||||
class AsyncArmDetection
|
||||
{
|
||||
public:
|
||||
AsyncArmDetection(void);
|
||||
|
||||
|
||||
void start(std::function<void(std::vector<cv::Point>, cv::Mat poinst_on_image)>, computervision::OpenPoseVideo op);
|
||||
private:
|
||||
void run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op);
|
||||
};
|
||||
|
||||
}
|
||||
@@ -1,92 +0,0 @@
|
||||
|
||||
#include "HandCalibrator.h"
|
||||
#include <iostream>
|
||||
|
||||
#define MIN_MENU_HAND_SIZE 10000
|
||||
#define MIN_GAME_HAND_SIZE 3000 // todo change
|
||||
namespace computervision
|
||||
{
|
||||
namespace handcalibration
|
||||
{
|
||||
|
||||
HandCalibrator::HandCalibrator()
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
void HandCalibrator::DrawHandCalibrationText(cv::Mat& output_frame)
|
||||
{
|
||||
cv::rectangle(output_frame, cv::Rect(0, 0, output_frame.cols, 40), cv::Scalar(0, 0, 0), -1);
|
||||
cv::putText(output_frame, "Hand calibration", cv::Point(output_frame.cols / 2 - 100, 25), cv::FONT_HERSHEY_PLAIN, 2.0, cv::Scalar(18, 219, 65), 2);
|
||||
cv::putText(output_frame, "press 'b' to calibrate background,then press 's' to calibrate skin tone", cv::Point(5, 35), cv::FONT_HERSHEY_PLAIN, 1.0, cv::Scalar(18, 219, 65), 1);
|
||||
|
||||
cv::rectangle(output_frame, cv::Rect(0, output_frame.rows - 80, 450, output_frame.cols), cv::Scalar(0, 0, 0), -1);
|
||||
|
||||
cv::putText(output_frame, "hand in frame:", cv::Point(5, output_frame.rows - 50), cv::FONT_HERSHEY_PLAIN, 2.0, cv::Scalar(255, 255, 0), 1);
|
||||
cv::rectangle(output_frame, cv::Rect(420, output_frame.rows - 67, 15, 15), hand_present ? cv::Scalar(0, 255, 0) : cv::Scalar(0, 0, 255), -1);
|
||||
|
||||
DrawBackgroundSkinCalibrated(output_frame);
|
||||
|
||||
if (hand_present)
|
||||
{
|
||||
std::string hand_text = fingers_amount > 0 ? "open" : "closed";
|
||||
cv::putText(output_frame, hand_text, cv::Point(10, 75), cv::FONT_HERSHEY_PLAIN, 2.0, cv::Scalar(255, 0, 255), 3);
|
||||
}
|
||||
}
|
||||
|
||||
void HandCalibrator::DrawBackgroundSkinCalibrated(cv::Mat& output_frame)
|
||||
{
|
||||
|
||||
cv::putText(output_frame, "background calibrated:", cv::Point(5, output_frame.rows - 30), cv::FONT_HERSHEY_PLAIN, 2.0, cv::Scalar(255, 255, 0), 1);
|
||||
cv::rectangle(output_frame, cv::Rect(420, output_frame.rows - 47, 15, 15), background_calibrated ? cv::Scalar(0, 255, 0) : cv::Scalar(0, 0, 255), -1);
|
||||
|
||||
cv::putText(output_frame, "skin color calibrated:", cv::Point(5, output_frame.rows - 10), cv::FONT_HERSHEY_PLAIN, 2.0, cv::Scalar(255, 255, 0), 1);
|
||||
cv::rectangle(output_frame, cv::Rect(420, output_frame.rows - 27, 15, 15), skintone_calibrated ? cv::Scalar(0, 255, 0) : cv::Scalar(0, 0, 255), -1);
|
||||
}
|
||||
|
||||
void HandCalibrator::SetSkinCalibration(bool val)
|
||||
{
|
||||
skintone_calibrated = val;
|
||||
}
|
||||
|
||||
void HandCalibrator::SetBackGroundCalibrated(bool val)
|
||||
{
|
||||
background_calibrated = val;
|
||||
}
|
||||
|
||||
void HandCalibrator::SetHandPresent(bool val)
|
||||
{
|
||||
hand_present = val;
|
||||
}
|
||||
|
||||
void HandCalibrator::SetAmountOfFingers(int amount)
|
||||
{
|
||||
fingers_amount = amount;
|
||||
}
|
||||
|
||||
bool HandCalibrator::CheckIfHandPresent(cv::Mat input_image, HandDetectionType type)
|
||||
{
|
||||
std::vector<std::vector<cv::Point>> points;
|
||||
cv::findContours(input_image, points, cv::RetrievalModes::RETR_LIST, cv::ContourApproximationModes::CHAIN_APPROX_SIMPLE);
|
||||
|
||||
if (points.size() == 0) return false;
|
||||
|
||||
for (int p = 0; p < points.size(); p++)
|
||||
{
|
||||
int area = cv::contourArea(points[p]);
|
||||
|
||||
if (type == handcalibration::HandDetectionType::MENU)
|
||||
if (area > MIN_MENU_HAND_SIZE) return true;
|
||||
|
||||
if (type == handcalibration::HandDetectionType::GAME)
|
||||
if (area > MIN_GAME_HAND_SIZE) return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
}
|
||||
}
|
||||
@@ -1,76 +0,0 @@
|
||||
#pragma once
|
||||
#include <opencv2/core/base.hpp>
|
||||
#include <opencv2/imgcodecs.hpp>
|
||||
#include <opencv2/imgproc.hpp>
|
||||
|
||||
namespace computervision
|
||||
{
|
||||
namespace handcalibration
|
||||
{
|
||||
enum class HandDetectionType
|
||||
{
|
||||
MENU,
|
||||
GAME
|
||||
};
|
||||
|
||||
class HandCalibrator
|
||||
{
|
||||
public:
|
||||
HandCalibrator();
|
||||
|
||||
|
||||
|
||||
/**
|
||||
* @brief draws the text to show the status of the calibration on the image
|
||||
*
|
||||
* @param output_frame the frame to draw on.
|
||||
*/
|
||||
void DrawHandCalibrationText(cv::Mat& output_frame);
|
||||
|
||||
/**
|
||||
* @brief sets the skin calibration variable.
|
||||
*
|
||||
* @param val the value to set
|
||||
*/
|
||||
void SetSkinCalibration(bool val);
|
||||
|
||||
/**
|
||||
* @brief sets the background calibration variable.
|
||||
*
|
||||
* @param val the value to set
|
||||
*/
|
||||
void SetBackGroundCalibrated(bool val);
|
||||
|
||||
/**
|
||||
* @brief sets the value for if the hand is present.
|
||||
*
|
||||
* @param val the value to set.
|
||||
*/
|
||||
void SetHandPresent(bool val);
|
||||
|
||||
/**
|
||||
* @brief checks if the hand is present in the given image
|
||||
*
|
||||
* @param input_image the input image to check.
|
||||
*/
|
||||
bool CheckIfHandPresent(cv::Mat input_image, HandDetectionType type);
|
||||
|
||||
/**
|
||||
* @brief sets the amount of fingers that are currently detected.
|
||||
*
|
||||
* @param amount the amount of fingers.
|
||||
*/
|
||||
void SetAmountOfFingers(int amount);
|
||||
|
||||
void DrawBackgroundSkinCalibrated(cv::Mat& output_frame);
|
||||
|
||||
private:
|
||||
|
||||
bool background_calibrated;
|
||||
bool skintone_calibrated;
|
||||
bool hand_present;
|
||||
int fingers_amount;
|
||||
};
|
||||
|
||||
}
|
||||
}
|
||||
@@ -5,6 +5,11 @@
|
||||
|
||||
namespace gui
|
||||
{
|
||||
//Represents the type of the entitie
|
||||
enum class GuiType{
|
||||
LABEL, BUTTON
|
||||
};
|
||||
|
||||
/*
|
||||
* Structure for representing a gui item to display on the screen
|
||||
*
|
||||
@@ -12,12 +17,17 @@ namespace gui
|
||||
* position = The center position of the gui
|
||||
* scale = The size (scale) of the gui
|
||||
*/
|
||||
|
||||
struct GuiTexture
|
||||
{
|
||||
int texture;
|
||||
glm::vec2 position;
|
||||
glm::vec2 scale;
|
||||
|
||||
virtual GuiType GetType() {
|
||||
return GuiType::LABEL;
|
||||
}
|
||||
|
||||
GuiTexture(int texture, glm::vec2 position, glm::vec2 scale): texture(texture), position(position), scale(scale)
|
||||
{
|
||||
scale.x /= (WINDOW_WIDTH / WINDOW_HEIGT);
|
||||
|
||||
@@ -104,6 +104,10 @@ namespace gui
|
||||
*/
|
||||
void SetOnExitAction(void (*fun)()) { on_exit_action = fun; }
|
||||
|
||||
GuiType GetType() override {
|
||||
return GuiType::BUTTON;
|
||||
}
|
||||
|
||||
protected:
|
||||
void OnClick() override { if (on_click_action != nullptr) on_click_action(); }
|
||||
void OnEnter() override { if (on_enter_action != nullptr) on_enter_action(); }
|
||||
|
||||
20
src/main.cpp
@@ -1,8 +1,6 @@
|
||||
#include <GL/glew.h>
|
||||
#include <GLFW/glfw3.h>
|
||||
#include <glm/gtc/matrix_transform.hpp>
|
||||
#include <functional>
|
||||
#include <vector>
|
||||
#define STB_IMAGE_IMPLEMENTATION
|
||||
#include <iostream>
|
||||
#include <map>
|
||||
@@ -26,10 +24,6 @@
|
||||
#include "scenes/startup_Scene.h"
|
||||
|
||||
#include "computervision/ObjectDetection.h"
|
||||
//#include "computervision/OpenPoseImage.h"
|
||||
#include "computervision/OpenPoseVideo.h"
|
||||
|
||||
#include "computervision/async/async_arm_detection.h"
|
||||
|
||||
#pragma comment(lib, "glfw3.lib")
|
||||
#pragma comment(lib, "glew32s.lib")
|
||||
@@ -37,20 +31,8 @@
|
||||
|
||||
static double UpdateDelta();
|
||||
|
||||
scene::Scene* current_scene;
|
||||
|
||||
static GLFWwindow* window;
|
||||
bool points_img_available = false;
|
||||
cv::Mat points_img;
|
||||
|
||||
void retrieve_points(std::vector<Point> arm_points, cv::Mat points_on_image)
|
||||
{
|
||||
|
||||
std::cout << "got points!!" << std::endl;
|
||||
std::cout << "points: " << arm_points << std::endl;
|
||||
points_img = points_on_image;
|
||||
points_img_available = true;
|
||||
}
|
||||
scene::Scene* current_scene;
|
||||
|
||||
int main(void)
|
||||
{
|
||||
|
||||
@@ -10,9 +10,6 @@
|
||||
#include "../renderEngine/renderer.h"
|
||||
#include "../shaders/entity_shader.h"
|
||||
#include "../toolbox/toolbox.h"
|
||||
#include <opencv2/core/base.hpp>
|
||||
#include "../computervision/HandDetectRegion.h"
|
||||
#include "../computervision/ObjectDetection.h"
|
||||
|
||||
|
||||
namespace scene
|
||||
@@ -26,10 +23,6 @@ namespace scene
|
||||
entities::Camera camera(glm::vec3(0, 0, 0), glm::vec3(0, 0, 0));
|
||||
std::vector<gui::GuiTexture*> guis;
|
||||
|
||||
|
||||
std::vector<computervision::HandDetectRegion> regions;
|
||||
computervision::HandDetectRegion reg_left("left", 0, 0, 150, 150), reg_right("right", 0, 0, 150, 150), reg_up("up", 0, 0, 150, 150);
|
||||
|
||||
|
||||
In_Game_Scene::In_Game_Scene()
|
||||
{
|
||||
@@ -43,17 +36,6 @@ namespace scene
|
||||
|
||||
scene::Scenes scene::In_Game_Scene::start(GLFWwindow* window)
|
||||
{
|
||||
// set up squares according to size of camera input
|
||||
cv::Mat camera_frame;
|
||||
static_camera::getCap().read(camera_frame); // get camera frame to know the width and heigth
|
||||
reg_left.SetXPos(10);
|
||||
reg_left.SetYPos(camera_frame.rows / 2 - reg_left.GetHeight()/2);
|
||||
reg_right.SetXPos(camera_frame.cols - 10 - reg_right.GetWidth());
|
||||
reg_right.SetYPos(camera_frame.rows / 2 - reg_right.GetHeight()/2);
|
||||
reg_up.SetXPos(camera_frame.cols / 2 - reg_up.GetWidth() / 2);
|
||||
reg_up.SetYPos(10);
|
||||
|
||||
|
||||
raw_model = render_engine::LoadObjModel("res/House.obj");
|
||||
texture = { render_engine::loader::LoadTexture("res/Texture.png") };
|
||||
texture.shine_damper = 10;
|
||||
@@ -123,40 +105,14 @@ namespace scene
|
||||
void scene::In_Game_Scene::update(GLFWwindow* window)
|
||||
{
|
||||
camera.Move(window);
|
||||
update_hand_detection();
|
||||
}
|
||||
|
||||
void scene::In_Game_Scene::onKey(GLFWwindow* window, int key, int scancode, int action, int mods)
|
||||
{
|
||||
if (glfwGetKey(window, GLFW_KEY_SPACE) == GLFW_PRESS)
|
||||
{
|
||||
cv::destroyWindow("camera");
|
||||
return_value = scene::Scenes::STOP;
|
||||
}
|
||||
|
||||
if (glfwGetKey(window, GLFW_KEY_B) == GLFW_PRESS)
|
||||
{
|
||||
reg_left.CalibrateBackground();
|
||||
reg_right.CalibrateBackground();
|
||||
reg_up.CalibrateBackground();
|
||||
}
|
||||
|
||||
if (glfwGetKey(window, GLFW_KEY_S) == GLFW_PRESS)
|
||||
{
|
||||
std::vector<int> tresholds = reg_left.CalculateSkinTresholds();
|
||||
reg_right.setSkinTresholds(tresholds);
|
||||
reg_up.setSkinTresholds(tresholds);
|
||||
}
|
||||
}
|
||||
|
||||
void scene::In_Game_Scene::update_hand_detection()
|
||||
{
|
||||
cv::Mat camera_frame;
|
||||
static_camera::getCap().read(camera_frame);
|
||||
reg_left.DetectHand(camera_frame);
|
||||
reg_right.DetectHand(camera_frame);
|
||||
reg_up.DetectHand(camera_frame);
|
||||
|
||||
cv::imshow("camera", camera_frame);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -8,7 +8,6 @@ namespace scene
|
||||
{
|
||||
private:
|
||||
scene::Scenes return_value = scene::Scenes::INGAME;
|
||||
void update_hand_detection();
|
||||
|
||||
public:
|
||||
In_Game_Scene();
|
||||
|
||||
@@ -2,36 +2,101 @@
|
||||
#include <GLFW/glfw3.h>
|
||||
#include <map>
|
||||
#include "startup_Scene.h"
|
||||
#include "../computervision/ObjectDetection.h"
|
||||
#include "../computervision/HandDetectRegion.h"
|
||||
#include <iostream>
|
||||
#include "../models/model.h"
|
||||
#include "../renderEngine/loader.h"
|
||||
#include "../renderEngine/obj_loader.h"
|
||||
#include "../renderEngine/renderer.h"
|
||||
#include "../shaders/entity_shader.h"
|
||||
#include "../toolbox/toolbox.h"
|
||||
|
||||
|
||||
|
||||
namespace scene
|
||||
{
|
||||
computervision::ObjectDetection objDetect;
|
||||
shaders::GuiShader* gui_shader1;
|
||||
std::vector<gui::GuiTexture*> guis1;
|
||||
|
||||
Startup_Scene::Startup_Scene() {
|
||||
shaders::EntityShader shader;
|
||||
shader.Init();
|
||||
render_engine::renderer::Init(shader);
|
||||
shader.CleanUp();
|
||||
|
||||
gui_shader1 = new shaders::GuiShader();
|
||||
gui_shader1->Init();
|
||||
}
|
||||
|
||||
gui::Button* ConvertGuiTextureToButton(gui::GuiTexture* texture) {
|
||||
if (texture->GetType() == gui::GuiType::BUTTON) {
|
||||
return (gui::Button*)texture;
|
||||
}
|
||||
else {
|
||||
return NULL;
|
||||
}
|
||||
}
|
||||
|
||||
scene::Scenes scene::Startup_Scene::start(GLFWwindow *window)
|
||||
{
|
||||
// GUI stuff
|
||||
gui::Button button_start(render_engine::loader::LoadTexture("res/menu_item_start1.png"), glm::vec2(0.0f, 0.6f), glm::vec2(0.25f, 0.25f));
|
||||
button_start.SetHoverTexture(render_engine::loader::LoadTexture("res/menu_item_start1_hover.png"));
|
||||
button_start.SetClickedTexture(render_engine::loader::LoadTexture("res/menu_item_start1_click.png"));
|
||||
button_start.SetOnClickAction([]()
|
||||
{
|
||||
std::cout << "Clicked on button: Start!" << std::endl;
|
||||
});
|
||||
guis1.push_back(&button_start);
|
||||
|
||||
gui::Button button_calibrate(render_engine::loader::LoadTexture("res/menu_item_calibrate1.png"), glm::vec2(0.0f, 0.0f), glm::vec2(0.25f, 0.25f));
|
||||
button_calibrate.SetHoverTexture(render_engine::loader::LoadTexture("res/menu_item_calibrate1_hover.png"));
|
||||
button_calibrate.SetClickedTexture(render_engine::loader::LoadTexture("res/menu_item_calibrate1_click.png"));
|
||||
button_calibrate.SetOnClickAction([]()
|
||||
{
|
||||
std::cout << "Clicked on button: Calibrate!" << std::endl;
|
||||
});
|
||||
guis1.push_back(&button_calibrate);
|
||||
|
||||
gui::Button button_quit(render_engine::loader::LoadTexture("res/menu_item_quit1.png"), glm::vec2(0.0f, -0.6f), glm::vec2(0.25f, 0.25f));
|
||||
button_quit.SetHoverTexture(render_engine::loader::LoadTexture("res/menu_item_quit1_hover.png"));
|
||||
button_quit.SetClickedTexture(render_engine::loader::LoadTexture("res/menu_item_quit1_click.png"));
|
||||
button_quit.SetOnClickAction([]()
|
||||
{
|
||||
std::cout << "Clicked on button: Quit!" << std::endl;
|
||||
});
|
||||
guis1.push_back(&button_quit);
|
||||
|
||||
while (return_value == scene::Scenes::STARTUP)
|
||||
{
|
||||
render();
|
||||
update(window);
|
||||
|
||||
for (gui::GuiTexture* button : guis1) {
|
||||
gui::Button* new_button = ConvertGuiTextureToButton(button);
|
||||
if(new_button != NULL)
|
||||
new_button->Update(window);
|
||||
|
||||
}
|
||||
|
||||
|
||||
glfwSwapBuffers(window);
|
||||
glfwPollEvents();
|
||||
}
|
||||
|
||||
gui_shader1->CleanUp();
|
||||
render_engine::loader::CleanUp();
|
||||
return return_value;
|
||||
}
|
||||
|
||||
void scene::Startup_Scene::render()
|
||||
{
|
||||
render_engine::renderer::Prepare();
|
||||
|
||||
// Render GUI items
|
||||
render_engine::renderer::Render(guis1, *gui_shader1);
|
||||
}
|
||||
|
||||
void scene::Startup_Scene::update(GLFWwindow* window)
|
||||
{
|
||||
bool hand_present;
|
||||
objDetect.DetectHand(objDetect.ReadCamera(),hand_present);
|
||||
|
||||
}
|
||||
|
||||
void scene::Startup_Scene::onKey(GLFWwindow* window, int key, int scancode, int action, int mods)
|
||||
@@ -39,7 +104,6 @@ namespace scene
|
||||
if (glfwGetKey(window, GLFW_KEY_SPACE) == GLFW_PRESS)
|
||||
{
|
||||
return_value = scene::Scenes::INGAME;
|
||||
cv::destroyWindow("camera");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
#pragma once
|
||||
#include "scene.h"
|
||||
#include <map>
|
||||
#include "../gui/gui_interactable.h"
|
||||
|
||||
namespace scene
|
||||
{
|
||||
@@ -12,6 +12,8 @@ namespace scene
|
||||
scene::Scenes return_value = scene::Scenes::STARTUP;
|
||||
|
||||
public:
|
||||
Startup_Scene();
|
||||
gui::Button* ConvertGuiTextureToButton(gui::GuiTexture* texture);
|
||||
Scenes start(GLFWwindow* window) override;
|
||||
void render() override;
|
||||
void update(GLFWwindow* window) override;
|
||||
|
||||
@@ -20,12 +20,9 @@
|
||||
</ItemGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="src\collision\collision_handler.cpp" />
|
||||
<ClCompile Include="src\computervision\calibration\HandCalibrator.cpp" />
|
||||
<ClCompile Include="src\computervision\HandDetectRegion.cpp" />
|
||||
<ClCompile Include="src\scenes\in_Game_Scene.cpp" />
|
||||
<ClCompile Include="src\computervision\async\async_arm_detection.cpp" />
|
||||
<ClCompile Include="src\computervision\FaceDetector.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" />
|
||||
@@ -46,16 +43,11 @@
|
||||
<ItemGroup>
|
||||
<ClInclude Include="src\collision\collision.h" />
|
||||
<ClInclude Include="src\collision\collision_handler.h" />
|
||||
<ClInclude Include="src\computervision\calibration\HandCalibrator.h" />
|
||||
<ClInclude Include="src\computervision\calibration\StaticSkinTreshold.h" />
|
||||
<ClInclude Include="src\computervision\HandDetectRegion.h" />
|
||||
<ClInclude Include="src\scenes\in_Game_Scene.h" />
|
||||
<ClInclude Include="src\scenes\scene.h" />
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