实现python 调用 C++ 接口的 easypr

本文实现了用python 调用 C++ 的easypr ,实现车牌的识别. CMakelist.txt 以及调用方法将会附上

CMakelist.txt, 需要注意 add_definitions(-fPIC) ,因为没有这句导致动态链接库编译失败,而且在easypr的编译中也要加上这句.

cmake_minimum_required(VERSION 3.0.0)
project(py_plate_locate)#动态链接库因为没有加这个而失败
add_definitions(-fPIC)# c++11 required
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED ON)# set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "/home/k/SoftWare/opencv-3.1.0/build")
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "/home/k/SoftWare/opencv-3.2.0/build")
# OpenVC3 required
find_package(OpenCV3.2 REQUIRED)# where to find header files
set(EASYPR_INCLUDE_DIRS "../include" )#find include file
include_directories(.)
include_directories(${EASYPR_INCLUDE_DIRS})
include_directories(${OpenCV_INCLUDE_DIRS})#find lib file path
link_directories(easypr "../build")
link_directories(thirdparty "../build/thirdparty")# sub directories
#add_subdirectory(thirdparty easypr)if (CMAKE_SYSTEM_NAME MATCHES "Darwin")set(EXECUTABLE_NAME "py_plate_locate")
elseif (CMAKE_SYSTEM_NAME MATCHES "Linux")set(EXECUTABLE_NAME "py_plate_locate")
endif ()#"main.cpp"
set(SOURCE_FILES  "py_plate_detector.cpp")# set to be releas mode
#  set(CMAKE_BUILD_TYPE Release)# test cases  生成可执行文件
# add_executable(${EXECUTABLE_NAME} ${SOURCE_FILES})
#生成静态库
# add_library(${EXECUTABLE_NAME} STATIC ${SOURCE_FILES})
#生成动态库
add_library(${EXECUTABLE_NAME} SHARED ${SOURCE_FILES})# link opencv& easypr libs
target_link_libraries(${EXECUTABLE_NAME} easypr thirdparty ${OpenCV_LIBS})# MESSAGE(${CMAKE_BINARY_DIR}/../)
SET_TARGET_PROPERTIES(${EXECUTABLE_NAME} PROPERTIES RUNTIME_OUTPUT_DIRECTORY  "${CMAKE_BINARY_DIR}/../")#SET_TARGET_PROPERTIES(${EXECUTABLE_NAME} PROPERTIES RUNTIME_OUTPUT_DIRECTORY  "${CMAKE_BINARY_DIR}/../")

C++ 部分头文件:py_plate_detector.h


#ifndef PLATE_DETER_H
#define PLATE_DETER_H#include <iostream>
#include <cstring>
#include "opencv2/opencv.hpp"
#include <easypr.h>
#include <algorithm>
#include<ctime>extern "C"{using namespace std;using namespace cv;using namespace easypr;struct OutRec{int locate[200];};unsigned int plate_recog(int height,int width, uchar* frame_data, OutRec &out);
}
#endif

c++ 实现部分 py_plate_detector.cpp

#include "py_plate_detector.h"unsigned int plate_recog(int height,int width, uchar* frame_data,OutRec &out){//convert  image for python typecv::Mat image(height,width,CV_8UC3);uchar* pxvec = image.ptr<uchar>(0);int count = 0;for(int row = 0; row < height; row++){pxvec = image.ptr<uchar>(row);for(int col = 0; col < width; col++){for(int c = 0; c < 3; c++){pxvec[col*3+c] = frame_data[count];count++;}}}// using easypr to locate the plateeasypr::CPlateRecognize pr;pr.setResultShow(false);pr.setDetectType(easypr::PR_DETECT_CMSER);vector<easypr::CPlate> plateVec;int result = pr.plateRecognize(image, plateVec);if (result != 0) return  -1;        size_t num = plateVec.size();// unsigned char * data = new  unsigned char[4*num];// vector<unsigned int> out_;// memset(data,0, 4*num*sizeof(char));       // printf("num %d\n", num);for (size_t j = 0; j < num; j++){CPlate temp_plate = plateVec[j];// imshow("plate_locate", temp_plate.getPlateMat());RotatedRect rect = temp_plate.getPlatePos();if (rect.size.height > rect.size.width){std::swap(rect.size.height, rect.size.width);}int y_off_set = rect.size.height / 2;int x_off_set = rect.size.width / 2;Point2i left_P;Point2i right_P;left_P.x = rect.center.x - x_off_set;left_P.y = rect.center.y - y_off_set;right_P.x = rect.center.x + x_off_set;right_P.y = rect.center.y + y_off_set;Point2i corp_left_P = left_P;Point2i corp_right_P = right_P;corp_left_P.y = std::max(int(0), int(left_P.y - 4 * rect.size.height));corp_right_P.y = left_P.y;// cout << "corp_left_P" << corp_left_P << endl;// cout << "corp_right_P" << corp_right_P << endl;if(corp_left_P.y <0 ) continue;if(corp_left_P.x <0) continue;if(corp_right_P.y <0) continue; if(corp_right_P.x <0) continue;if(std::abs(corp_left_P.y - corp_right_P.y) < 50) continue;if(std::abs(corp_left_P.x - corp_right_P.x) < 50) continue;//yyxxout.locate[4*j+0] = max(0,corp_left_P.y);out.locate[4*j+1] = min(height,corp_right_P.y);out.locate[4*j+2] = max(0,corp_left_P.x);out.locate[4*j+3] = min(width,corp_right_P.x);}//out_.begin()  是只想第一个元素的迭代器，确切的说，不是指针//传的话就以 &*out_.begin() 来进行传递，实际上一下方式显得更简单，不那么晦涩return  0;
}

python 部分代码:


if __name__ == '__main__':#read the soll = cdll.LoadLibrarylib_plate_locate = ll("./libpy_plate_locate.so")#read imageframe = cv2.imread("/home/k/Longlongaaago/EasyPR-master/crop_vehicle/testImg/12166814_川BZT515.jpg")frame_data = np.asarray(frame, dtype=np.int8)#change the data formframe_data = frame_data.ctypes.data_as(c_char_p)#create the structrec = OutRec()#reference the structstate = lib_plate_locate.plate_recog(frame.shape[0], frame.shape[1], frame_data,byref(rec))locate_list = []if state !=0:print("plate locate false! or none!")for i in range(0,len(rec.locate),4):if rec.locate[i+0] == rec.locate[i+1] == rec.locate[i+2] == rec.locate[i+3] ==0:break;targrt = {}targrt["min_y"] = rec.locate[i+0]targrt["max_y"] = rec.locate[i + 1]targrt["min_x"] = rec.locate[i + 2]targrt["max_x"] = rec.locate[i + 3]print(rec.locate[i+0])print(rec.locate[i + 1])print(rec.locate[i + 2])print(rec.locate[i + 3])locate_list.append(targrt)for i in range(len(locate_list)):new_frame = frame[locate_list[i]["min_y"]:locate_list[i]["max_y"],locate_list[i]["min_x"]:locate_list[i]["max_x"],:]cv2.imshow('image', new_frame)cv2.waitKey()

至于如何进行编译,还是要自己学习一些编译知识

调用成功后,还要注意数值解析

参考博客,实现方式:

https://blog.csdn.net/Willen_/article/details/102744794

中间碰到编译问题的博客:

https://blog.csdn.net/chengde6896383/article/details/93737256

https://blog.csdn.net/qq_41784559/article/details/89358958

https://blog.csdn.net/u010312436/article/details/52486811

https://blog.csdn.net/chengde6896383/article/details/93737256

https://www.cnblogs.com/luoyinjie/p/7219344.html

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实现python 调用 C++ 接口的 easypr

实现python 调用 C++ 接口的 easypr

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