230 lines
7 KiB
C++
230 lines
7 KiB
C++
/*
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* Copyright (C) 2018 dimercur
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "img.h"
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bool Arene::empty() {
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if ((this->arene.height==0) || (this->arene.width==0)) return true;
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else return false;
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}
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Img::Img(ImageMat imgMatrice) {
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this->img = imgMatrice.clone();
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}
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string Img::ToString() {
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return "Image size: "+to_string(this->img.cols)+"x"+to_string(this->img.rows)+" (dim="+to_string(this->img.dims)+")";
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}
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string Img::ToBase64() {
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return "";
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}
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Img* Img::Copy() {
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return new Img(this->img);
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}
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float Img::calculAngle(Position robot) {
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float a = robot.direction.x - robot.center.x;
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float b = robot.direction.y - robot.center.y ;
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float angle = atan2(b,a);
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return angle * 180.f/M_PI;
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}
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float Img::calculAngle2(cv::Point2f pt1, cv::Point2f pt2) {
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float a = pt1.x - pt2.x;
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float b = pt1.y - pt2.y ;
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float angle = atan2(b,a);
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return angle * 180.f/M_PI;
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}
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#ifdef __WITH_ARUCO__
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cv::Point2f Img::find_aruco_center(std::vector<cv::Point2f> aruco) {
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return ((aruco[0] + aruco[2])/2);
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}
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cv::Point2f Img::find_aruco_direction(std::vector<cv::Point2f> aruco) {
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return ((aruco[0]+aruco[1])/2);;
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}
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std::list<Position> Img::search_aruco(Arene monArene) {
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ImageMat imgTraitment;
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std::list<Position> positionList;
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cv::Point2f areneCoor;
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std::vector<int> ids;
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std::vector<std::vector<cv::Point2f> > corners;
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if(monArene.empty())
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imgTraitment=this->img.clone();
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else{
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imgTraitment = cropArena(monArene);
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areneCoor.x = monArene.x;
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areneCoor.y = monArene.y;
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}
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cv::detectMarkers(imgTraitment,dictionary, corners, ids);
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if(ids.size()>0){
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for(int i = 0 ; i < ids.size() ; i++){
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Position newPos;
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newPos.center = find_aruco_center(corners[i]);
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newPos.direction = find_aruco_direction(corners[i]);
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newPos.robotId = ids[i];
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if(!monArene.empty()){
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newPos.direction += areneCoor;
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newPos.center += areneCoor;
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}
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newPos.angle = calculAngle2(newPos.center, newPos.direction);
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positionList.push_back(newPos);
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}
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}
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return positionList;
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}
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#endif // __WITH_ARUCO__
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float Img::euclideanDist(cv::Point2f p, cv::Point2f q) {
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cv::Point diff = p - q;
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return cv::sqrt(diff.x*diff.x + diff.y*diff.y);
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}
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Jpg Img::toJpg() {
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Jpg imgJpg;
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cv::imencode(".jpg",this->img,imgJpg);
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return imgJpg;
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}
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//string Img::ToBase64() {
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// string imgBase64;
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// Jpg imgJpg = toJpg();
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//
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// /* faire la convertion Jpg vers base 64 */
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// return imgBase64;
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//}
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std::list<Position> Img::search_robot(Arene monArene) {
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std::list<Position> robotsFind;
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std::vector<std::vector<cv::Point2f> > contours;
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std::vector<cv::Point2f> approx;
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std::vector<cv::Vec4i> hierarchy;
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ImageMat imgTraitment;
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if(monArene.empty())
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imgTraitment=this->img.clone();
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else
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imgTraitment = cropArena(monArene);
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cvtColor(imgTraitment,imgTraitment,CV_RGB2GRAY);
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threshold(imgTraitment,imgTraitment,128,255,CV_THRESH_BINARY);
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findContours(imgTraitment, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cv::Point2f(0, 0));
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for(unsigned int i = 0;i < contours.size();i++)
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{
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cv::approxPolyDP(ImageMat(contours[i]), approx, cv::arcLength(ImageMat(contours[i]), true)*0.17, true);
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if(approx.size() == 3 && fabs(cv::contourArea(contours[i])) > 200 && fabs(cv::contourArea(contours[i])) < 700)
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{
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cv::Point2f a,b,c;
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cv::Point2f center;
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a = approx[0];
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b = approx[1];
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c = approx[2];
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if(!monArene.empty()) // ajout de l'offset de l'arène
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{
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a.x += monArene.arene.x;
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a.y += monArene.arene.y;
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b.x += monArene.arene.x;
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b.y += monArene.arene.y;
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c.x += monArene.arene.x;
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c.y += monArene.arene.y;
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}
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center.x = (a.x + b.x + c.x)/3;
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center.y = (a.y + b.y + c.y)/3;
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Position newPos;
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newPos.center=center;
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if(euclideanDist(center,b) > euclideanDist(center,a) && euclideanDist(center,b) > euclideanDist(center,c) )
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{
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newPos.direction=b;
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//line(img,center,b,Scalar(0,125,0),2,8,0);
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}
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else if(euclideanDist(center,a) > euclideanDist(center,c))
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{
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newPos.direction=a;
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//line(img,center,a,Scalar(0,125,0),2,8,0);
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}
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else
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{
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newPos.direction=c;
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//line(img,center,c,Scalar(0,125,0),2,8,0);
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}
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newPos.angle=calculAngle(newPos);
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robotsFind.push_back(newPos);
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}
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}
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return robotsFind;
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}
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Arene Img::search_arena() {
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std::vector<std::vector<cv::Point> > contours;
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std::vector<cv::Point> approx;
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std::vector<cv::Vec4i> hierarchy;
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ImageMat imageTrt;
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cv::cvtColor(this->img,imageTrt,CV_RGB2GRAY); // conversion en niveau de gris
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cv::threshold(imageTrt,imageTrt,128,255,CV_THRESH_BINARY); // Threshold les éléments les plus clair
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cv::Canny(imageTrt, imageTrt, 100,200,3); // detection d'angle
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findContours(imageTrt, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cv::Point(0, 0));
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for(unsigned int i = 0; i < contours.size();i++)
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{
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approxPolyDP(ImageMat(contours[i]), approx, cv::arcLength(ImageMat(contours[i]), true)*0.1, true);
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if(approx.size()==4 && fabs(cv::contourArea(contours[i])) > 100000)
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{
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Arene rectangle;
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rectangle.arene = cv::boundingRect(ImageMat(contours[i]));
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return rectangle;
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}
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}
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return Arene();
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}
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int Img::draw_robot(Position robot) {
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cv::arrowedLine(this->img, (cv::Point2f)robot.center, (cv::Point2f)robot.direction, cv::Scalar(0,0,255),3,8,0);
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return 0;
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}
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int Img::draw_all_robots(std::list<Position> robots) {
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for(Position robot : robots){
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cv::arrowedLine(this->img, (cv::Point2f)robot.center, (cv::Point2f)robot.direction, cv::Scalar(0,0,255),3,8,0);
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}
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return robots.size();
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}
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int Img::draw_arena(Arene areneToDraw) {
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cv::rectangle(this->img,areneToDraw.arene.tl(),areneToDraw.arene.br(),cv::Scalar(0,0,125),2,8,0);
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return 0;
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}
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ImageMat Img::cropArena(Arene arene) {
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return this->img(arene.arene);
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}
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