به نام خدا : تو این مطلب یه پروژه ساده با OpenCV رو میبینیم، تو این پروژه یه سری اشکال عبوری ( 4 ضلعی یا 3 ضلعی ) رو شناسایی و شمارش میکنیم، کل کار این پروژه همینه؛ اصل این پروژه از اینجا ( detect and track objects ) گرفته شده که خب به زبون Python نوشته شده، تنها کاری که من کردم این بود که تبدیلش کردم به C++ و تو این مطلب برای شما قرار دادم!
کد پروژه :
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#include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp" #include <iostream> // we make class to our objects class obj { public: cv::Rect rect = cv::Rect(0, 0, 0, 0); // the upper left coordinates of the contour bool followed = false; // if this contour is already in video ( in previous frames ) std::string shape = ""; // to detect shape int ide = 0; // id of contour bool passed = false; // to know if the object already passed the line void remove() { rect = cv::Rect(0, 0, 0, 0); } }; int main() { int OffsetRefLines = 20; std::vector<obj> objects; //--- int allObject_count = 0; int rectangle_count = 0; int triangle_count = 0; //--- cv::Mat frame, gray, thresh; cv::VideoCapture vc("C:/Users/Mahdi/Desktop/Input.mp4"); /*cv::VideoWriter vw("C:/Users/Mahdi/Desktop/Output.mp4", vc.get(cv::CAP_PROP_FOURCC), vc.get(cv::CAP_PROP_FPS), cv::Size(vc.get(cv::CAP_PROP_FRAME_WIDTH), vc.get(cv::CAP_PROP_FRAME_HEIGHT)), true);*/ // read frames loop while(true) { if(!vc.read(frame)) break; cv::Mat kernel = cv::Mat::ones(cv::Size(11,11), CV_8U); cv::morphologyEx(frame, frame, cv::MORPH_CLOSE, kernel); cv::morphologyEx(frame, frame, cv::MORPH_OPEN, kernel); cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY); cv::GaussianBlur(gray, gray, cv::Size(7,7), 0); cv::threshold(gray, thresh, 127, 255, cv::THRESH_BINARY); std::vector<std::vector<cv::Point>> contours; std::vector<cv::Vec4i> hierarchy; cv::findContours(thresh, contours, hierarchy, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE); for(int i=0; i<contours.size(); i++) { // Filter small contours or noise cv::Rect bRect = cv::boundingRect(contours[i]); // top left int x = bRect.x, y = bRect.y, w = bRect.width, h = bRect.height; if(w < 105 && h < 105) continue; // Approximates a polygonal curve(s) with the specified precision. [ Reducing contour vertices ] // detect the corners of contour to know the shape double epsilon = 0.1 * cv::arcLength(contours[i], true); std::vector<cv::Point> approx; cv::approxPolyDP(contours[i], approx, epsilon, true); cv::polylines(frame, approx, true, cv::Scalar(0,255,0), 2); // detect the shape std::string shape = ""; if(approx.size() == 3) shape = "triangle"; else if (approx.size() == 4) shape = "square"; // center of contour cv::Point center(x+0.5*w, y+0.5*h); cv::circle(frame, center, 5, cv::Scalar(255,0,0), 5); // to know if this contour is already exist and not new bool existed = false; // loop over all object for(int j=0; j<objects.size(); j++) { // if center pixel is in bounding rect of object if( center.x > objects[j].rect.x && center.x < objects[j].rect.x + objects[j].rect.width && center.y > objects[j].rect.y && center.y < objects[j].rect.y + objects[j].rect.height ) { // update contour with new coordinates objects[j].rect = bRect; objects[j].followed = true; // this object is exist in video objects[j].shape = shape; existed = true; // contour is not new break; } } // add new object if(existed == false) { obj new_cont; new_cont.rect = bRect; new_cont.followed = true; new_cont.shape = shape; new_cont.ide = (int)objects.size() + 1; new_cont.passed = false; objects.push_back(new_cont); } } for(int i=0; i<objects.size(); i++) { // if object is no loonger exist in video we remove it if(objects[i].followed == false) objects[i].remove(); // print object if(objects[i].followed == true) { cv::putText(frame, std::to_string(objects[i].ide) + " " + objects[i].shape, cv::Size(objects[i].rect.x, objects[i].rect.y), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(255,255,255), 4); } bool CheckExitLineCrossing = false; if (cv::abs(objects[i].rect.y - int(frame.rows/2)) <= OffsetRefLines) CheckExitLineCrossing = true; // if y inside the line and the objct didnt pass the line before if(CheckExitLineCrossing && objects[i].passed == false) { allObject_count++; if(objects[i].shape == "triangle") triangle_count++; else if(objects[i].shape == "square") rectangle_count++; objects[i].passed = true; } // object is set to false to next frame objects[i].followed = false; } // OffsetRefLines cv::line(frame, cv::Point(0, int(frame.rows/2) - OffsetRefLines), cv::Point(frame.cols-1, int(frame.rows/2) - OffsetRefLines), cv::Scalar(0,0,255), 2); cv::line(frame, cv::Point(0, int(frame.rows/2)), cv::Point(frame.cols-1, int(frame.rows/2)), cv::Scalar(0,0,255), 3); cv::line(frame, cv::Point(0, int(frame.rows/2) + OffsetRefLines), cv::Point(frame.cols-1, int(frame.rows/2) + OffsetRefLines), cv::Scalar(0,0,255), 2); cv::putText(frame, "total: " + std::to_string(allObject_count), cv::Size(10, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar::all(255), 2); cv::putText(frame, "rectangle: " + std::to_string(rectangle_count), cv::Size(100, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar::all(255), 2); cv::putText(frame, "triangle: " + std::to_string(triangle_count), cv::Size(250, 20), cv::FONT_HERSHEY_SIMPLEX, 0.5, cv::Scalar::all(255), 2); // show frame cv::imshow("frame", frame); // save frame //vw.write(frame); if( cv::waitKey(30) == 'q' ) break; } std::cout << "objects passed the line = " << std::to_string(allObject_count) << std::endl; std::cout << "recatangles the line = " << std::to_string(rectangle_count) << std::endl; std::cout << "triangles the line = " << std::to_string(triangle_count) << std::endl; vc.release(); //vw.release(); cv::destroyAllWindows(); return 0; } |
توابع و کلاس های مورد استفاده در این پروژه : توابع و کلاس های مورد استفاده در این پروژه که قبلا آموزششون رو در سایت قرار دادم، در ادامه ارجا میدم به مطالب مرتبط :
- کلاس VideoCapture : آموزش ماژول Video I/O در OpenCV
- توابع morphologyEx و GaussianBlur : آموزش ماژول Image Filtering در OpenCV
- تابع threshold : آموزش ماژول Miscellaneous Image Transformations در OpenCV
- توابع findContours و arcLength و approxPolyDP : آموزش ماژول Structural Analysis and Shape Descriptors در OpenCV
- توابع polylines و circle و putText و line : آموزش Drawing Functions در OpenCV
- توابع imshow و waitKey و destroyAllWindows : آموزش ماژول High-level GUI در OpenCV
فیلم های ورودی و خروجی پروژه :
تا مطلب بعدی اگه زنده بودیم و قسمت شد، یا علی.
