def houghtlines(image):
block_size = 0
timage=image.mean(axis=2).astype(numpy.uint8)
storage = zopencv.cvCreateMemStorage ( block_size )
pt1=zopencv.CvPoint()
pt2=zopencv.CvPoint()
lines = zopencv.cvHoughLines2(timage, storage.get_pointer(), zopencv.CV_HOUGH_STANDARD, 1, zopencv.CV_PI/180, 100, 0, 0 )
#cvFlip(image)
BIG=image.shape[0]+image.shape[1]
resimage=image.copy('C')
for i in range(min(lines.total,100)):
line = zopencv.zopencv_pclasses.PointerOnCvPoint2D32f(zopencv.cvGetSeqElem(lines,i));
rho = line.x;
theta = line.y;
a = math.cos(theta)
b = math.sin(theta)
x0 = a*rho
y0 = b*rho
pt1.x = zopencv.cvRound(x0 + BIG*(-b))
pt1.y = zopencv.cvRound(y0 + BIG*(a))
pt2.x = zopencv.cvRound(x0 - BIG*(-b))
pt2.y = zopencv.cvRound(y0 - BIG*(a))
color=zopencv.cvScalar(255,0,0,0)
zopencv.cvLine(resimage, pt1, pt2, color, 1, 1,0 )#zopencv.CV_RGB(255,0,0
zopencv.cvReleaseMemStorage(storage.get_pointer_on_pointer())
return resimage
def surf(x, as_couple=False):
xnb = x
if xnb.ndim == 3:
xnb = xnb.mean(axis=2)
if xnb.dtype != numpy.uint8:
xnb = xnb.astype(numpy.uint8)
# from opencv.cv import cvExtractSURF,CvSeq,cvCreateMemStorage, cvSURFParams
# keypoints,descriptors=cvExtractSURF(xnb,0,cvSURFParams( 500, 1 ) ,0)
import zopencv
from zopencv import cvExtractSURF, cvSURFParams
params = cvSURFParams(500, 1)
print dir(params)
# cvSURFParams( 500, 1 )
# CvArr * img,CvArr * mask,CvSeq * * keypoints,CvSeq * * descriptors,CvMemStorage * storage,CvSURFParams params,int useProvidedKeyPts)
keypoints = zopencv.zopencv_pclasses.PointerOnCvSeq(0)
descriptors = zopencv.zopencv_pclasses.PointerOnCvSeq(0)
storage = zopencv.cvCreateMemStorage(0)
cvExtractSURF(xnb, 0, keypoints.get_pointer_on_pointer(), descriptors.get_pointer_on_pointer(), storage, params, 0)
print "SURF OUTPUT=", keypoints.total, descriptors.total
keypoints = map(
lambda x: zopencv.zopencv_pclasses.PointerOnCvPoint(keypoints.getSeqElem(x)), range(keypoints.total)
)
descriptors = map(
lambda x: zopencv.zopencv_pclasses.PointerOnCvPoint(descriptors.getSeqElem(x)), range(descriptors.total)
)
zopencv.cvReleaseMemStorage(storage.get_pointer_on_pointer())
if as_couple:
return (numpy.array(keypoints), numpy.array(descriptors))
else:
return numpy.hstack([numpy.array(keypoints), numpy.array(descriptors)])
def opencv_pyrsegmentation( image0, threshold1 =255,threshold2 =30, level=4,output=0):
block_size = 0
storage = zopencv.cvCreateMemStorage ( block_size )
height,width=image0.shape[:2]
width =width & -(1<<level)
height =height & -(1<<level)
image0 = image0[:height,:width,:].copy('C')
image1 = image0.copy('C')
comp=zopencv.zopencv_pclasses.PointerOnCvSeq(0)
zopencv.cvPyrSegmentation(image0, image1, storage, comp.get_pointer_on_pointer(), level, min(255,max(5, threshold1+1)), min(255,max(5, threshold2+1)))
#del comp
#comp=None
zopencv.cvReleaseMemStorage(storage.get_pointer_on_pointer())
if (output==0):
return image1.copy('C')
elif (output==1):
return comp
else:
return image1,comp