#include "objdetect.h" // CascadeClassifier CascadeClassifier CascadeClassifier_New() { return new cv::CascadeClassifier(); } void CascadeClassifier_Close(CascadeClassifier cs) { delete cs; } int CascadeClassifier_Load(CascadeClassifier cs, const char* name) { return cs->load(name); } struct Rects CascadeClassifier_DetectMultiScale(CascadeClassifier cs, Mat img) { std::vector detected; cs->detectMultiScale(*img, detected); // uses all default parameters Rect* rects = new Rect[detected.size()]; for (size_t i = 0; i < detected.size(); ++i) { Rect r = {detected[i].x, detected[i].y, detected[i].width, detected[i].height}; rects[i] = r; } Rects ret = {rects, (int)detected.size()}; return ret; } struct Rects CascadeClassifier_DetectMultiScaleWithParams(CascadeClassifier cs, Mat img, double scale, int minNeighbors, int flags, Size minSize, Size maxSize) { cv::Size minSz(minSize.width, minSize.height); cv::Size maxSz(maxSize.width, maxSize.height); std::vector detected; cs->detectMultiScale(*img, detected, scale, minNeighbors, flags, minSz, maxSz); Rect* rects = new Rect[detected.size()]; for (size_t i = 0; i < detected.size(); ++i) { Rect r = {detected[i].x, detected[i].y, detected[i].width, detected[i].height}; rects[i] = r; } Rects ret = {rects, (int)detected.size()}; return ret; } // HOGDescriptor HOGDescriptor HOGDescriptor_New() { return new cv::HOGDescriptor(); } void HOGDescriptor_Close(HOGDescriptor hog) { delete hog; } int HOGDescriptor_Load(HOGDescriptor hog, const char* name) { return hog->load(name); } struct Rects HOGDescriptor_DetectMultiScale(HOGDescriptor hog, Mat img) { std::vector detected; hog->detectMultiScale(*img, detected); Rect* rects = new Rect[detected.size()]; for (size_t i = 0; i < detected.size(); ++i) { Rect r = {detected[i].x, detected[i].y, detected[i].width, detected[i].height}; rects[i] = r; } Rects ret = {rects, (int)detected.size()}; return ret; } struct Rects HOGDescriptor_DetectMultiScaleWithParams(HOGDescriptor hog, Mat img, double hitThresh, Size winStride, Size padding, double scale, double finalThresh, bool useMeanshiftGrouping) { cv::Size wSz(winStride.width, winStride.height); cv::Size pSz(padding.width, padding.height); std::vector detected; hog->detectMultiScale(*img, detected, hitThresh, wSz, pSz, scale, finalThresh, useMeanshiftGrouping); Rect* rects = new Rect[detected.size()]; for (size_t i = 0; i < detected.size(); ++i) { Rect r = {detected[i].x, detected[i].y, detected[i].width, detected[i].height}; rects[i] = r; } Rects ret = {rects, (int)detected.size()}; return ret; } Mat HOG_GetDefaultPeopleDetector() { return new cv::Mat(cv::HOGDescriptor::getDefaultPeopleDetector()); } void HOGDescriptor_SetSVMDetector(HOGDescriptor hog, Mat det) { hog->setSVMDetector(*det); } struct Rects GroupRectangles(struct Rects rects, int groupThreshold, double eps) { std::vector vRect; for (int i = 0; i < rects.length; ++i) { cv::Rect r = cv::Rect(rects.rects[i].x, rects.rects[i].y, rects.rects[i].width, rects.rects[i].height); vRect.push_back(r); } cv::groupRectangles(vRect, groupThreshold, eps); Rect* results = new Rect[vRect.size()]; for (size_t i = 0; i < vRect.size(); ++i) { Rect r = {vRect[i].x, vRect[i].y, vRect[i].width, vRect[i].height}; results[i] = r; } Rects ret = {results, (int)vRect.size()}; return ret; } // QRCodeDetector QRCodeDetector QRCodeDetector_New() { return new cv::QRCodeDetector(); } void QRCodeDetector_Close(QRCodeDetector qr) { delete qr; } const char* QRCodeDetector_DetectAndDecode(QRCodeDetector qr, Mat input,Mat points,Mat straight_qrcode) { cv::String *str = new cv::String(qr->detectAndDecode(*input,*points,*straight_qrcode)); return str->c_str(); } bool QRCodeDetector_Detect(QRCodeDetector qr, Mat input,Mat points) { return qr->detect(*input,*points); } const char* QRCodeDetector_Decode(QRCodeDetector qr, Mat input,Mat inputPoints,Mat straight_qrcode) { cv::String *str = new cv::String(qr->detectAndDecode(*input,*inputPoints,*straight_qrcode)); return str->c_str(); }