From 5ba8b1c1058d95c41d09208a567eac4e58aee260 Mon Sep 17 00:00:00 2001
From: Jack Yu <455501914@qq.com>
Date: Tue, 1 May 2018 20:27:08 +0800
Subject: [PATCH] Update SegmentationFreeRecognizer.cpp

---
 .../lpr/src/SegmentationFreeRecognizer.cpp    | 31 +------------------
 1 file changed, 1 insertion(+), 30 deletions(-)

diff --git a/Prj-Linux/lpr/src/SegmentationFreeRecognizer.cpp b/Prj-Linux/lpr/src/SegmentationFreeRecognizer.cpp
index 2976305..369f63b 100644
--- a/Prj-Linux/lpr/src/SegmentationFreeRecognizer.cpp
+++ b/Prj-Linux/lpr/src/SegmentationFreeRecognizer.cpp
@@ -1,5 +1,5 @@
 //
-// Created by 庾金科 on 28/11/2017.
+// Created by Jack Yu on 28/11/2017.
 //
 #include "../include/SegmentationFreeRecognizer.h"
 
@@ -7,28 +7,18 @@ namespace pr {
     SegmentationFreeRecognizer::SegmentationFreeRecognizer(std::string prototxt, std::string caffemodel) {
         net = cv::dnn::readNetFromCaffe(prototxt, caffemodel);
     }
-
-
     inline int judgeCharRange(int id)
     {return id<31 || id>63;
     }
-
-
     std::pair<std::string,float> decodeResults(cv::Mat code_table,std::vector<std::string> mapping_table,float thres)
     {
-//        cv::imshow("imagea",code_table);
-//        cv::waitKey(0);
-
         cv::MatSize mtsize = code_table.size;
         int sequencelength = mtsize[2];
         int labellength = mtsize[1];
         cv::transpose(code_table.reshape(1,1).reshape(1,labellength),code_table);
         std::string name = "";
-
-
         std::vector<int> seq(sequencelength);
         std::vector<std::pair<int,float>> seq_decode_res;
-
         for(int i = 0 ; i < sequencelength;  i++) {
             float *fstart = ((float *) (code_table.data) + i * labellength );
             int id = std::max_element(fstart,fstart+labellength) - fstart;
@@ -36,10 +26,7 @@ namespace pr {
         }
 
         float sum_confidence = 0;
-
         int plate_lenghth  = 0 ;
-
-
         for(int i = 0 ; i< sequencelength ; i++)
         {
             if(seq[i]!=labellength-1 && (i==0 || seq[i]!=seq[i-1]))
@@ -48,13 +35,9 @@ namespace pr {
                 float confidence = *(fstart+seq[i]);
                 std::pair<int,float> pair_(seq[i],confidence);
                 seq_decode_res.push_back(pair_);
-//
-
             }
         }
-
         int  i = 0;
-
         if (seq_decode_res.size()>1 && judgeCharRange(seq_decode_res[0].first) && judgeCharRange(seq_decode_res[1].first))
         {
             i=2;
@@ -70,16 +53,12 @@ namespace pr {
             sum_confidence +=seq_decode_res[i].second;
             plate_lenghth++;
         }
-
-
         std::pair<std::string,float> res;
-
         res.second = sum_confidence/plate_lenghth;
         res.first = name;
         return res;
 
     }
-
     std::string decodeResults(cv::Mat code_table,std::vector<std::string> mapping_table)
     {
         cv::MatSize mtsize = code_table.size;
@@ -98,21 +77,13 @@ namespace pr {
             if(seq[i]!=labellength-1 && (i==0 || seq[i]!=seq[i-1]))
                 name+=mapping_table[seq[i]];
         }
-
-        std::cout<<name;
         return name;
     }
-
-
-
     std::pair<std::string,float> SegmentationFreeRecognizer::SegmentationFreeForSinglePlate(cv::Mat Image,std::vector<std::string> mapping_table) {
         cv::transpose(Image,Image);
         cv::Mat inputBlob = cv::dnn::blobFromImage(Image, 1 / 255.0, cv::Size(40,160));
         net.setInput(inputBlob, "data");
         cv::Mat char_prob_mat = net.forward();
         return decodeResults(char_prob_mat,mapping_table,0.00);
-
     }
-
-
 }