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58 lines
1.8 KiB
58 lines
1.8 KiB
#ifndef EASYPR_CORE_CHARSIDENTIFY_H_
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#define EASYPR_CORE_CHARSIDENTIFY_H_
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#include <memory>
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#include "opencv2/opencv.hpp"
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#include "easypr/util/kv.h"
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#include "easypr/core/character.hpp"
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#include "easypr/core/feature.h"
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namespace easypr {
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class CharsIdentify {
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public:
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static CharsIdentify* instance();
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int classify(cv::Mat f, float& maxVal, bool isChinses = false, bool isAlphabet = false);
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void classify(cv::Mat featureRows, std::vector<int>& out_maxIndexs,
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std::vector<float>& out_maxVals, std::vector<bool> isChineseVec);
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void classify(std::vector<CCharacter>& charVec);
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void classifyChinese(std::vector<CCharacter>& charVec);
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void classifyChineseGray(std::vector<CCharacter>& charVec);
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std::pair<std::string, std::string> identify(cv::Mat input, bool isChinese = false, bool isAlphabet = false);
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int identify(std::vector<cv::Mat> inputs, std::vector<std::pair<std::string, std::string>>& outputs,
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std::vector<bool> isChineseVec);
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std::pair<std::string, std::string> identifyChinese(cv::Mat input, float& result, bool& isChinese);
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std::pair<std::string, std::string> identifyChineseGray(cv::Mat input, float& result, bool& isChinese);
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bool isCharacter(cv::Mat input, std::string& label, float& maxVal, bool isChinese = false);
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void LoadModel(std::string path);
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void LoadChineseModel(std::string path);
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void LoadGrayChANN(std::string path);
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void LoadChineseMapping(std::string path);
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private:
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CharsIdentify();
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annCallback extractFeature;
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static CharsIdentify* instance_;
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// binary character classifer
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cv::Ptr<cv::ml::ANN_MLP> ann_;
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// binary character classifer, only for chinese
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cv::Ptr<cv::ml::ANN_MLP> annChinese_;
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// gray classifer, only for chinese
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cv::Ptr<cv::ml::ANN_MLP> annGray_;
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// used for chinese mapping
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std::shared_ptr<Kv> kv_;
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};
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}
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#endif // EASYPR_CORE_CHARSIDENTIFY_H_
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