Python C++擴充

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Python C++擴充

    前段時間看了一篇文章，http://blog.jobbole.com/78859/， 頗有感觸，於是就結合自己工作中的知識作了一個簡單的Python移動偵測：移動偵測的演算法使用C++實現，封裝成Python可以調用的格式，具體流程1。

                                                                                                        圖1

    首先看一下C++的工程配置，2

   

                                                                                             圖2

    C++部分代碼：

#include "stdafx.h"
#include "Python.h"
#include "C:\Python27\Lib\site-packages\numpy\core\include\numpy\arrayobject.h"
#include "motiondetector.h"

static int MD_GRID_W      = 32;
static int MD_GRID_H      = 32;
static int MD_NOISE_LEVEL = 150;
static int MD_SENSITIVITY = 150;

class VideoDetector
{
public:
 ~VideoDetector()
 {
  if (m_motionDetector != NULL)
  {
   delete m_motionDetector;
   m_motionDetector = NULL;
   printf("~VideoDetector\r\n");
  }
 }
 VideoDetector(int width, int height):m_width(width), m_height(height)
 {
        m_motionDetector = new simple_md::MotionDetector();
  if (m_motionDetector != NULL)
  {
      m_motionDetector->init(MD_GRID_W, MD_GRID_H, m_width, height);
   m_motionDetector->set_noise_level(MD_NOISE_LEVEL);
   m_motionDetector->set_sensitivity(MD_SENSITIVITY);

   // Setup default zone
   std::vector<simple_md::Zone> zones;
   simple_md::Zone z;
   z.sensitivity = 100;

   for (int i = 0; i < MD_GRID_W * MD_GRID_H; ++i)
   {
    z.mask.push_back(100);
   }

   zones.push_back(z);
   m_motionDetector->set_zones(zones);
   m_motionDetector->set_md_enbale();
         printf("VideoDetector\r\n");
  }
 }

 int process_frame(uint8_t *frame)
 {
  
  if (m_motionDetector != NULL && frame != NULL)
  {

   m_motionDetector->feed_frame(frame, m_width, m_height, m_width - 1, GetTickCount(), NULL, 0, NULL, 0, NULL, 0);
   return m_motionDetector->get_state();
  }
  return 0;
 }

 int test(void)
 {
  return m_width * m_height;
 }
private:
 VideoDetector();
 simple_md::MotionDetector *m_motionDetector;
 int m_width;
 int m_height;
};

static void PyDelVideoDetector(void *ptr)
{
    printf("VideoDetector_UnInit\n");
 VideoDetector *tmp = static_cast<VideoDetector *>(ptr);
 delete tmp;
 return;
}

PyObject *VideoDetector_Init(PyObject *self, PyObject *args)
{
 printf("VideoDetector_Init\n");
 int arg1 = 0;
 int arg2 = 0;
 int ret = PyArg_ParseTuple(args, "ii", &arg1, &arg2);
 if (ret == 0)
 {
  printf("VideoDetector_Init fail\n");
  return NULL;
 }
 VideoDetector *vd = new VideoDetector(arg1, arg2);
 return PyCObject_FromVoidPtr(vd, PyDelVideoDetector);
}

#define f(x0) (*((uint8_t*)PyArray_DATA(py_pix) + (x0) * PyArray_STRIDES(py_pix)[0]))
#define shape(i) (py_pix->dimensions[(i)])

PyObject *VideoDetector_Process(PyObject *self, PyObject *args)
{
 printf("VideoDetector_Process\n");
 PyObject *py_obj = 0;
 PyArrayObject *py_pix = 0;
 npy_int64 idx = 0;
 int ret = PyArg_ParseTuple(args, "OO", &py_obj, &py_pix);
 if (ret == 0)
 {
     printf("VideoDetector_Process fail\n");
  return NULL;
 }

 uint8_t *frame = (uint8_t *)malloc(sizeof(uint8_t) * shape(0));
 if (frame == NULL)
 {
  return NULL;
 }

 for (idx = 0; idx < shape(0); idx++)
 {
  *(frame + idx) = (uint8_t)f(idx);
 }
    printf("-------process_frame start-------\n");
 void * tmp = PyCObject_AsVoidPtr(py_obj);
 VideoDetector *vd = static_cast<VideoDetector *>(tmp);
 int result = vd->process_frame(frame);
 free(frame);
 frame = NULL;
 printf("-------process_frame end(%d)-------\n", result);
 return Py_BuildValue("i", result);
}

PyObject *VideoDetector_Test(PyObject *self, PyObject *args)
{
 printf("VideoDetector_Test\n");
 PyObject *pynum = 0;
 int ret = PyArg_ParseTuple(args, "O", &pynum);
 if (ret == 0)
 {
     printf("VideoDetector_Test fail\n");
  return NULL;
 }
 void * tmp = PyCObject_AsVoidPtr(pynum);
 VideoDetector *vd = static_cast<VideoDetector *>(tmp);
 int result = vd->test();
 return Py_BuildValue("i", result);
}

static PyMethodDef VideoDetector_methods[] = {
 {"VideoDetector", VideoDetector_Init    , METH_VARARGS},
 {"test"    ,      VideoDetector_Test    , METH_VARARGS},
 {"process"    ,   VideoDetector_Process , METH_VARARGS},
 {NULL, NULL, 0}
};

PyMODINIT_FUNC initVideoDetector(void)
{
 Py_InitModule("VideoDetector", VideoDetector_methods);
}

    videodetector.py代碼：

from VideoDetector import *

class videodetector(object):
 def __init__(self, arg1, arg2):
  self._base = VideoDetector(arg1, arg2)
 def test(self):
  return test(self._base)
 def process(self, frame):
  return process(self._base, frame)

 

    camera.py代碼：

import cv2
import time
import datetime
import numpy as np
from videodetector import *

frame_num = 0

def motion_detect(obj, frame):
 global frame_num
 if frame_num % 5 == 0:
  print frame_num
  pixels = []
  for ch in frame.tostring():
   pixels.append(ord(ch))

  #rgb2yuv = np.array([[0.299, 0.587, 0.114],
        #                    [-0.14713, -0.28886, 0.436],
        #                    [0.615, -0.51499, -0.10001]])
  #rgb = np.array(pixels).reshape(len(pixels) / 3, 3)
  #yuv = np.dot(rgb, rgb2yuv.T)
  #y = np.array(yuv[ :, 0]).reshape(len(yuv), 1)
  #print yuv.shape
  #print y.shape
  #print obj.process(y)
  
  rgb = np.array(pixels).reshape(len(pixels) / 3, 3)
  r = rgb[ : , 0];
  g = rgb[ : , 1];
  b = rgb[ : , 2];
  raw = r + g + b;
  #print datetime.datetime.now().second
  #print datetime.datetime.now().microsecond
  print raw.shape;
  print obj.process(raw)
 frame_num += 1

camera = cv2.VideoCapture(0)
fps = camera.get(cv2.cv.CV_CAP_PROP_FPS)
(width, height) = (int(camera.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)), int(camera.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
print width
print height
obj = videodetector(width, height)
#print obj.test()

print("program begin")
while True:
 (grabbed, frame) = camera.read()
 if not grabbed:
  continue
 cv2.imshow("Frame", frame)
 motion_detect(obj, frame)
 key = cv2.waitKey(1) & 0xFF
 if key == ord("q"):
  break
print("program end")
camera.release()
cv2.destroyAllWindows()
print("program release")

 

    效果3：

                                                                                                   圖3

Python C++擴充