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43 lines
1.3 KiB
C++
43 lines
1.3 KiB
C++
//
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// Created by 庾金科 on 16/10/2017.
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//
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#include "../include/PlateSegmentation.h"
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#include "../include/CNNRecognizer.h"
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#include "../include/Recognizer.h"
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std::vector<std::string> chars{"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"};
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void TEST_SLIDINGWINDOWS_EVAL(){
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cv::Mat demo = cv::imread("res/cache/finemappingres.png");
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cv::resize(demo,demo,cv::Size(136,36));
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cv::Mat respones;
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pr::PlateSegmentation plateSegmentation("model/Segmentation.prototxt","model/Segmentation.caffemodel");
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pr::PlateInfo plate;
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plate.setPlateImage(demo);
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std::vector<cv::Rect> rects;
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plateSegmentation.segmentPlatePipline(plate,1,rects);
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plateSegmentation.ExtractRegions(plate,rects);
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pr::GeneralRecognizer *recognizer = new pr::CNNRecognizer("model/CharacterRecognization.prototxt","model/CharacterRecognization.caffemodel");
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recognizer->SegmentBasedSequenceRecognition(plate);
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std::cout<<plate.decodePlateNormal(chars)<<std::endl;
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delete(recognizer);
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}
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int main(){
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TEST_SLIDINGWINDOWS_EVAL();
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return 0;
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} |