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add python
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‎binascii.py‎

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import binascii
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def order_list():
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a = 'aa0902630000bb'
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a_list = []
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for i in a.split():
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a_list.append(binascii.a2b_hex(i))
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return a_list;
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print order_list()

‎c2python_swig/Makefile‎

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all:
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swig -c++ -python c2python_swig.i
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g++ -c -fpic c2python_swig.cpp c2python_swig_wrap.cxx -I /usr/include/python2.7/
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g++ -shared c2python_swig.o c2python_swig_wrap.o -o _c2python_swig.so
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clean:
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rm -f *.o *.cxx *.so *.py *.pyc
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‎c2python_swig/c2python_swig.cpp‎

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/*
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* =========================================================================
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*
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* FileName: c2python_swig.cpp
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*
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* Description:
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*
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* Version: 1.0
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* Created: 2018-02-26 13:31:15
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* Last Modified: 2018-02-27 10:14:02
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* Revision: none
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* Compiler: gcc
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*
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* Author: zt ()
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* Organization:
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*
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* =========================================================================
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*/
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#include "c2python_swig.h"
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c2python_swig::c2python_swig()
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{
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}
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c2python_swig::~c2python_swig()
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{
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}
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void c2python_swig::test ( std::string a )
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{
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std::cout << a << std::endl;
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}
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‎c2python_swig/c2python_swig.h‎

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/*
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* =========================================================================
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*
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* FileName: c2python_swig.h
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*
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* Description:
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*
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* Version: 1.0
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* Created: 2018-02-27 10:12:18
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* Last Modified: 2018-02-27 10:12:37
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* Revision: none
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* Compiler: gcc
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*
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* Author: zt ()
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* Organization:
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*
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* =========================================================================
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*/
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#ifndef C2PYTHON_SWIG_INC
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#define C2PYTHON_SWIG_INC
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#include <stdio.h>
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#include <stdlib.h>
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#include <iostream>
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#include <string>
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class c2python_swig
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{
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public:
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c2python_swig();
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virtual ~c2python_swig();
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void test ( std::string a );
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private:
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};
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#endif /* C2PYTHON_SWIG_INC */
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‎c2python_swig/c2python_swig.i‎

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%module c2python_swig
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%include "std_string.i"
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%{
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#include "c2python_swig.h"
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%}
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%include "c2python_swig.h"

‎class_test.py‎

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#!/usr/bin/python
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#-*- coding: UTF-8 -*-
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class Test:
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def prt(self):
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print(self)
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print(self.__class__)
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t = Test()
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t.prt()
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print "你好"
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‎cpp_callpython.cpp‎

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/*
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* =====================================================================================
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*
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* Filename: python.cpp
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*
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* Description:
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*
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* Version: 1.0
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* Created: 2017年08月11日 14时46分32秒
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* Last Modified: 2017年08月11日 14时46分32秒
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* Revision: none
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* Compiler: gcc
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*
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* Author: zt (),
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* Organization:
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*
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* =====================================================================================
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*/
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//g++ python.cpp -o a -g -lpython2.7
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#include <stdio.h>
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#include <stdlib.h>
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#include <iostream>
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#include <string>
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#include <python2.7/Python.h>
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void Test_Add ( int a, int b )
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{
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Py_Initialize();
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PyRun_SimpleString ( "import sys" );
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/* */
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PyRun_SimpleString ( "sys.path.append('./')" );
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/* 模块不能用test之类常见的名字，python内置test模块优先级最高 */
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PyObject* pModule = PyImport_ImportModule ( "test2" );
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if ( !pModule )
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std::cout << "pModule error\n";
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PyObject* pv = PyObject_GetAttrString ( pModule, "Add" );
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if ( !pv )
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std::cout << "pv error\n";
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PyObject* pArg = Py_BuildValue ( "(i,i)", a, b );
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if ( !pArg )
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std::cout << "pArg error\n";
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PyEval_CallObject ( pv, pArg );
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Py_Finalize();
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}
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void Test_Class ( std::string name )
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{
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Py_Initialize();
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PyRun_SimpleString ( "import sys" );
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PyRun_SimpleString ( "sys.path.append('./')" );
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PyObject* pModule = PyImport_ImportModule ( "test2" );
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if ( !pModule )
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std::cout << "pModule !\n";
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PyObject* pClass = PyObject_GetAttrString ( pModule, "TestClass" );
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if ( !pClass )
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std::cout << "pClass!\n";
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PyObject* pArg = PyTuple_New ( 1 );
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PyTuple_SetItem ( pArg, 0, Py_BuildValue ( "s", name.c_str() ) );
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if ( !pArg )
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std::cout << "pArg!\n";
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PyObject* pClassObj = PyEval_CallObject ( pClass, pArg );
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if ( !pClassObj )
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std::cout << "pClassObj!\n";
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PyObject* pFunc = PyObject_GetAttrString ( pClassObj, "printName" );
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if ( !pFunc )
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std::cout << "pFunc!\n";
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PyEval_CallObject ( pFunc, NULL );
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Py_Finalize();
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}
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int main ( int argc, char* argv[] )
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{
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//Test_Add ( 10, 22 );
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Test_Class ( "test class" );
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return 0;
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}
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‎guangtou.py‎

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#!/usr/bin/python
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#-*- coding:utf-8 -*-
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###############################################################################
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# File Name: guangtou.py
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# Author:
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# Mail:
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# Created Time: 2017-10-31 22:28:00
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###############################################################################
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from sympy import Circle
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from scipy import integrate
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from math import sqrt
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c1=Circle((1,0),1)
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c2=Circle((1/2,1),1/2)
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jiaodian = c1.intersection(c2)
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print(jiaodian)
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#求出交点:[Point2D(1/5, 3/5), Point2D(1, 1)]
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def func(x):
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return sqrt(2*x-x**2)-1+sqrt(x-x**2)
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p,err = integrate.quad(func,0.2,1.0)
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print(p)
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‎kalman2d.py‎

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#!/usr/bin/env python
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#-*- coding:utf-8 -*-
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# FileName: kalman2d.py
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#
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# Description:
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#
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# Version: 1.0
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# Created: 2018-01-16 13:46:56
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# Last Modified: 2018-01-17 14:12:46
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# Revision: none
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# Compiler: gcc
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#
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# Author: zt ()
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# Organization:
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'''
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kalman2d - 2D Kalman filter using OpenCV
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Based on http://jayrambhia.wordpress.com/2012/07/26/kalman-filter/
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Copyright (C) 2014 Simon D. Levy
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This code is free software: you can redistribute it and/or modify
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it under the terms of the GNU Lesser General Public License as
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published by the Free Software Foundation, either version 3 of the
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License, or (at your option) any later version.
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This code is distributed in the hope that it will be useful,
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU Lesser General Public License
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along with this code. If not, see <http://www.gnu.org/licenses/>.
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'''
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#from cv2 import cv
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import cv2
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import numpy
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class Kalman2D(object):
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'''
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A class for 2D Kalman filtering
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'''
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def __init__(self, processNoiseCovariance=1e-4, measurementNoiseCovariance=1e-1, errorCovariancePost=0.1):
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'''
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For explanation of the error covariances see
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http://en.wikipedia.org/wiki/Kalman_filter
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'''
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# 状态空间：位置--2d,速度--2d
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self.kalman = cv2.KalmanFilter(4, 2, 0)
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#self.kalman_state = cv2.CreateMat(4, 1, cv.CV_32FC1)
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self.kalman_state = numpy.zeros((4,1),numpy.float32)
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self.kalman_process_noise = numpy.zeros((4,1),numpy.float32)
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#self.kalman_measurement = cv2.CreateMat(2, 1, cv.CV_32FC1)
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self.kalman_measurement = numpy.zeros((2,1),numpy.float32)
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for j in range(4):
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for k in range(4):
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self.kalman.transitionMatrix[j,k] = 0
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self.kalman.transitionMatrix[j,j] = 1
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# 加入速度 x = x + vx, y = y + vy
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# 1,0,1,0, 0,1,0,1, 0,0,1,0, 0,0,0,1
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# 如果把下面两句注释掉，那么位置跟踪kalman滤波器的状态模型就是没有使用速度信息
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# self.kalman.transition_matrix[0, 2]=1
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# self.kalman.transition_matrix[1, 3]=1
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cv2.setIdentity(self.kalman.measurementMatrix)
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#初始化带尺度的单位矩阵
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cv2.setIdentity(self.kalman.processNoiseCov, cv2.RealScalar(processNoiseCovariance))
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cv2.setIdentity(self.kalman.measurementNoiseCov, cv2.RealScalar(measurementNoiseCovariance))
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cv2.setIdentity(self.kalman.error_cov_post, cv.RealScalar(errorCovariancePost))
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self.predicted = None
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self.esitmated = None
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def update(self, x, y):
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'''
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Updates the filter with a new X,Y measurement
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'''
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self.kalman_measurement[0, 0] = x
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self.kalman_measurement[1, 0] = y
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self.predicted = cv2.KalmanFilter.predict(self.kalman)
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self.corrected = cv2.KalmanFilter.correct(self.kalman, self.kalman_measurement)
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def getEstimate(self):
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'''
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Returns the current X,Y estimate.
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'''
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return self.corrected[0,0], self.corrected[1,0]
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def getPrediction(self):
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'''
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Returns the current X,Y prediction.
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'''
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return self.predicted[0,0], self.predicted[1,0]
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‎package_runoob/__init__.py‎

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#!/usr/bin/python
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if __name__ == '__main__':
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print "as main"
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else:
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print "package_oob init"
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