北京网站优化wyhseo,惠州市seo广告优化营销工具,怎么宣传自己新开的店铺,深圳app网站建设陈俊兵1、目的
将c/c编译成动态链接库#xff0c;通过python调用#xff0c;实现常见变量比如int#xff0c;字符串之间的交互#xff0c;以及np.ndarray和cv::Mat间的交互. 更简单的方式参考#xff1a;pybind11实现numpy和OpenCV Mat的数据交互-CSDN博客
2 步骤
新建CMakeL…1、目的
将c/c编译成动态链接库通过python调用实现常见变量比如int字符串之间的交互以及np.ndarray和cv::Mat间的交互. 更简单的方式参考pybind11实现numpy和OpenCV Mat的数据交互-CSDN博客
2 步骤
新建CMakeLists.txt如下需要安装opencv安装教程参考Ubuntu 18.04 安装opencv4.2.0如果遇到IPPICV问题参考解决编译opencv时卡在IPPICV
cmake_minimum_required(VERSION 3.10)
project(test)
add_definitions(-stdc11)
add_definitions(-DAPI_EXPORTS)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_BUILD_TYPE Debug)
find_package(OpenCV)
include_directories(${OpenCV_INCLUDE_DIRS})
add_library(myplugins SHARED ${PROJECT_SOURCE_DIR}/test.cpp)
target_link_libraries(myplugins ${OpenCV_LIBS})
新建test.cpp
#include opencv2/opencv.hpp
#include string
using namespace std;#if defined(_MSC_VER)
#define API __declspec(dllimport)
#else
#define API
#endif // API_EXPORTStypedef struct test
{/* data */int ages;std::string name;cv::Mat pic;
} Person;extern C API void * init(int age_, char * name_ptr, unsigned char *src_data, int rows, int cols)
{Person *handle new Person();std::string name_ name_ptr;handle-ages age_;handle-name name_;handle-pic cv::Mat(rows, cols, CV_8UC3, src_data);return (void*) handle;
}extern C API int get_ages(void* handle_)
{Person * handle (Person*)handle_;return handle-ages;
}extern C API char* get_name(void* handle_)
{Person * handle (Person*)handle_;return (char*)handle-name.c_str();
}extern C API void get_pic(void* handle_, int rows, int cols, unsigned char* out_data)
{Person * handle (Person*)handle_;cv::imshow(raw, handle-pic);cv::waitKey();//数据处理//....//返回结果memcpy(out_data, handle-pic.data, rows*cols*3);
}
新建test.py具体转换见代码注释
from ctypes import *
import cv2
import numpy as np
import numpy.ctypeslib as npct#加载链接库
lib CDLL(./build/libmyplugins.so)#定义函数的输入类型和输出类型
lib.get_ages.restype c_int
lib.get_ages.argtypes [c_void_p] #输入句柄(指针)
lib.get_name.restype c_void_p #返回char*
lib.get_name.argtypes [c_void_p] #输入句柄(指针)img cv2.imread(oil-bin-1.png) #修改成自己的图片
ages 23
name bytes(kitty, utf-8) #要对应c函数中的char*需要转为二进制(rows, cols) (img.shape[0], img.shape[1])
image_type npct.ndpointer(dtype np.uint8, ndim 3, shape img.shape, flagsC_CONTIGUOUS) #指定numpy图片的格式lib.init.restype c_void_p #返回句柄(指针)
lib.init.argtypes [c_int, c_void_p, image_type, c_int, c_int]#将np格式的图片传递到c
hd lib.init(c_int(ages), c_char_p(name), img, c_int(rows), c_int(cols))print(lib.get_ages(hd)) #返回整数直接打印
name c_char_p(lib.get_name(hd)).value #返回char*, 需要转换
print(name.decode(utf-8)) #解码成字符串##第一种读取图片的方式使用ndpointer指定图片类型
out_image np.zeros_like(img).astype(np.uint8) #需要先开辟内存
lib.get_pic.argtypes [c_void_p, c_int, c_int, image_type]
lib.get_pic(hd, c_int(rows), c_int(cols), out_image)
cv2.imshow(out1, out_image)##第二种读取图片的方式不使用ndpointer指定图片类型
out_image np.zeros_like(img).astype(np.uint8) #需要先开辟内存
lib.get_pic.argtypes [c_void_p, c_int, c_int, c_void_p] #句柄(指针)rowscols, 图片指针
lib.get_pic(hd, c_int(rows), c_int(cols), out_image.ctypes.data_as(POINTER(c_ubyte)))cv2.imshow(out2, out_image)
cv2.waitKey()
3、测试
将上述3个文件放到同一个目录然后在命令行中进入到该目录依次运行会弹出图片单击图片按任意键即可
mkdir build
cd build
cmake ..
make
cd ..
python test.py
