HyperLPR/Prj-Linux/lpr/src/Pipeline.cpp

//
// Created by 庾金科 on 23/10/2017.
//

#include "../include/Pipeline.h"


namespace pr {

    std::vector<std::string> chars_code{"京","沪","津","渝","冀","晋","蒙","辽","吉","黑","苏","浙","皖","闽","赣","鲁","豫","鄂","湘","粤","桂","琼","川","贵","云","藏","陕","甘","青","宁","新","0","1","2","3","4","5","6","7","8","9","A","B","C","D","E","F","G","H","J","K","L","M","N","P","Q","R","S","T","U","V","W","X","Y","Z"};



    PipelinePR::PipelinePR(std::string detector_filename,
                           std::string finemapping_prototxt, std::string finemapping_caffemodel,
                           std::string segmentation_prototxt, std::string segmentation_caffemodel,
                           std::string charRecognization_proto, std::string charRecognization_caffemodel) {
        plateDetection = new PlateDetection(detector_filename);
        fineMapping = new FineMapping(finemapping_prototxt, finemapping_caffemodel);
        plateSegmentation = new PlateSegmentation(segmentation_prototxt, segmentation_caffemodel);
        generalRecognizer = new CNNRecognizer(charRecognization_proto, charRecognization_caffemodel);
    }

    PipelinePR::~PipelinePR() {

        delete plateDetection;
        delete fineMapping;
        delete plateSegmentation;
        delete generalRecognizer;

    }

    std::vector<PlateInfo> PipelinePR:: RunPiplineAsImage(cv::Mat plateImage) {
        std::vector<PlateInfo> results;
        std::vector<pr::PlateInfo> plates;
        plateDetection->plateDetectionRough(plateImage,plates);

        for (pr::PlateInfo plateinfo:plates) {

            cv::Mat image_finemapping = plateinfo.getPlateImage();
            image_finemapping = fineMapping->FineMappingVertical(image_finemapping);
            image_finemapping = pr::fastdeskew(image_finemapping, 5);
            image_finemapping = fineMapping->FineMappingHorizon(image_finemapping, 2, 5);
            cv::resize(image_finemapping, image_finemapping, cv::Size(136, 36));
            plateinfo.setPlateImage(image_finemapping);
            std::vector<cv::Rect> rects;
            plateSegmentation->segmentPlatePipline(plateinfo, 1, rects);
            plateSegmentation->ExtractRegions(plateinfo, rects);
            cv::copyMakeBorder(image_finemapping, image_finemapping, 0, 0, 0, 20, cv::BORDER_REPLICATE);

            plateinfo.setPlateImage(image_finemapping);
            generalRecognizer->SegmentBasedSequenceRecognition(plateinfo);
            plateinfo.decodePlateNormal(chars_code);
            results.push_back(plateinfo);
            std::cout << plateinfo.getPlateName() << std::endl;


        }

//        for (auto str:results) {
//            std::cout << str << std::endl;
//        }
        return results;

    }//namespace pr



}