python转C的建议，新年快乐
2014新年快乐！
我这有份别人写的Python代码，做OpenCV颜色识别的。我要把它换成C，实在不太了解Python，不知道从何下手。希望朋友们给点意见，谢谢啦，新年愉快，恭喜发财！
下面的 COLOR_RANGE={，，，} self 那些 在C里都是如何处理的
#!/usr/bin/python
import sys
from math import sqrt
from threading import Thread
from opencv.cv import *
from opencv.highgui import *
import Xlib
# Global Variables
#storage = cvCreateMemStorage(0)
#from Xlib import X,display,Xutil
storage=cvCreateMemStorage(0)
capture = cvCreateCameraCapture( 0 )
COLOR_RANGE={
'yellow': (cvScalar(10, 100, 100, 0), cvScalar(40, 255, 255, 0)),\
'red': (cvScalar(0, 0, 0, 0), cvScalar(190, 255, 255, 0)),\
'blue': (cvScalar( 90 , 84 , 69 , 0 ), cvScalar( 120 , 255 , 255 , 0)),\
'green': (cvScalar( 40 , 80 , 32 , 0), cvScalar( 70 , 255 , 255 , 0)),\
'orange': (cvScalar( 160 , 100 , 47 , 0 ), cvScalar( 179 , 255 , 255 , 0 ))\
}
DISPLAY_COLOR={
'yellow':CV_RGB(255,255,0)
,'red':CV_RGB(255,0,0)
,'blue':CV_RGB(0,0,255)
,'green':CV_RGB(0,110,0)
}
class Tracker(Thread):
def __init__(self,color,flag):
Thread.__init__(self)
self.color=color
self.display=DISPLAY_COLOR[color]
self.path=cvCreateImage(cvSize(640,480),8,3)
self.lastx=0
self.lasty=0
self.h_min=COLOR_RANGE[color][0]
self.h_max=COLOR_RANGE[color][1]
self.flag=flag
if self.flag:
cvNamedWindow(self.color,1)
def poll(self,img):
if 1:
thresh = cvCreateImage( cvSize(img.width,img.height), 8, 1 )
new_img=cvCreateImage( cvSize(img.width,img.height),8 ,3 )
cvCopy(img,new_img)
cvCvtColor(img, new_img, CV_BGR2HSV )
cvInRangeS(new_img,self.h_min,self.h_max,thresh)
cvSmooth(thresh,thresh,CV_GAUSSIAN,9,9)
circles=cvHoughCircles(thresh,storage,CV_HOUGH_GRADIENT,2,thresh.height/4,200,100,25,0)
maxRadius=0
x=0
y=0
found=False
for i in range(circles.total):
circle=circles[i]
if circle[2]>maxRadius:
found=True
radius=int(circle[2])
maxRadius=int(radius)
x=int(circle[0])
y=int(circle[1])
if found:
cvCircle( img, cvPoint(x,y),3, CV_RGB(0,255,0), -1, 8, 0 )
cvCircle( img, cvPoint(x,y),maxRadius, CV_RGB(255,0,0), 3, 8, 0 )
print self.color+ " Ball found at",x,y
if self.lastx > 0 and self.lasty > 0:
cvLine(self.path,cvPoint(self.lastx,self.lasty),cvPoint(x,y),self.display,5)
self.lastx=x
self.lasty=y
cvAdd(img,self.path,img)
if self.flag:
cvShowImage(self.color,thresh)
cvShowImage("result",img)
if( cvWaitKey( 10 ) >= 0 ):
return
if __name__ == '__main__':
cvNamedWindow( "result", CV_WINDOW_AUTOSIZE )
if capture:
frame_copy = None
yellow=Tracker("yellow",1)
green=Tracker("green",1)
blue=Tracker("blue",1)
yellow.start()
green.start()
blue.start()
while True:
img=cvQueryFrame(capture)
yellow.poll(img)
green.poll(img)
blue.poll(img)
yellow.join()
green.join()
blue.join()
if cvWaitKey(10) >=0:
sys.exit(1)
cvDestroyWindow("result")
