def __findcurve(self, img):
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours(img, storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint(0, 0))
cidx = int(random.random() * len(color))
if (self.drawcontour):
cv.cvDrawContours(self.drawimg, cont, _white, _white, 1, 1,
cv.CV_AA, cv.cvPoint(0, 0))
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total, cv.CV_32SC2)
PointArray2D32f = cv.cvCreateMat(1, c.total, cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray,
cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray, 0, i)[0]
kp.y = cv.cvGet2D(PointArray, 0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def __findcurve(self, img):
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours (img,
storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint (0,0))
cidx = int(random.random() * len(color))
if (self.drawcontour):
cv.cvDrawContours (self.drawimg, cont, _white, _white, 1, 1, cv.CV_AA, cv.cvPoint (0, 0))
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total, cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, c.total , cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray,0, i)[0]
kp.y = cv.cvGet2D(PointArray,0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def __findContour(self, filename): #find the contour of images, and save all points in self.vKeyPoints
self.img = highgui.cvLoadImage (filename)
self.grayimg = cv.cvCreateImage(cv.cvSize(self.img.width, self.img.height), 8,1)
self.drawimg = cv.cvCreateImage(cv.cvSize(self.img.width, self.img.height), 8,3)
cv.cvCvtColor (self.img, self.grayimg, cv.CV_BGR2GRAY)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvThreshold( self.grayimg, self.grayimg, self.threshold, self.threshold +100, cv.CV_THRESH_BINARY )
cv.cvZero(self.drawimg)
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours (self.grayimg,
storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint (0,0))
cv.cvDrawContours (self.drawimg, cont, cv.cvScalar(255,255,255,0), cv.cvScalar(255,255,255,0), 1, 1, cv.CV_AA, cv.cvPoint (0, 0))
self.allcurve = []
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total , cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, c.total , cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray,0, i)[0]
kp.y = cv.cvGet2D(PointArray,0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def __calculate(self): print "I want to calculate an image" size = cv.cvGetSize(self.origImage) result = cv.cvCreateMat(size.height,size.width,cv.CV_32FC1) row_sums = cv.cvCreateMat(size.height,size.width,cv.CV_32FC1) for i in range(size.height): for j in range(size.width): image_value = cv.cvGet2D(self.origImage,i,j) image_value = image_value[0] prev_row_sum = 0 if(i == 0): cv.cvmSet(row_sums,i,j,image_value) else: prev_row_sum = cv.cvmGet(row_sums,i-1,j) cv.cvmSet(row_sums,i,j,image_value+prev_row_sum) if(j == 0): cv.cvmSet(result,i,j,prev_row_sum+image_value) else: prev_result = cv.cvmGet(result,i,j-1) cv.cvmSet(result,i,j,prev_row_sum+image_value+prev_result) if(i == 0 and j == 0): print "image_value:",image_value print "prev_row_sum:",prev_row_sum return result
def putoriginal(fname, img):
ori_img = highgui.cvLoadImage (fname)
ori_img_thumb = cv.cvCreateImage(cv.cvSize(ori_img.width/4, ori_img.height/4), 8,3)
cv.cvResize(ori_img, ori_img_thumb)
for x in range(ori_img_thumb.height):
for y in range(ori_img_thumb.width):
cv.cvSet2D(img, x, y, cv.cvGet2D(ori_img_thumb, x, y))
return
def putoriginal(fname, img):
ori_img = highgui.cvLoadImage(fname)
ori_img_thumb = cv.cvCreateImage(
cv.cvSize(ori_img.width / 4, ori_img.height / 4), 8, 3)
cv.cvResize(ori_img, ori_img_thumb)
for x in range(ori_img_thumb.height):
for y in range(ori_img_thumb.width):
cv.cvSet2D(img, x, y, cv.cvGet2D(ori_img_thumb, x, y))
return
def mouseClick(event, x, y, flags, param):
if event == CV_EVENT_LBUTTONUP:
frame = cvQueryFrame(CAM)
hlsFrame = cvCreateImage(cvSize(frameWidth, frameHeight), IPL_DEPTH_8U, 3)
cvCvtColor(frame, hlsFrame, CV_BGR2HLS)
pixel = cvGet2D(hlsFrame, y, x)
setHlsFilter('hmax', pixel[0])
setHlsFilter('hmin', pixel[0])
#setHlsFilter('lmax', pixel[1])
#setHlsFilter('lmin', pixel[1])
setHlsFilter('smax', pixel[2])
setHlsFilter('smin', pixel[2])
py = size.height-1
cv.cvSet2D(img,py,px,color)
def calcBox(iimg, x, y, size):
point1 = cv.cvmGet(iimg,x,y)
point2 = cv.cvmGet(iimg,x+size,y+size)
point3 = cv.cvmGet(iimg,x,y+size)
point4 = cv.cvmGet(iimg,x+size,y)
return (point1+point2)-(point3+point4)
size = cv.cvGetSize(image)
sum = 0
for i in range(1,5):#size.height):
for j in range(1,5):
sum = sum + cv.cvGet2D(image,i,j)[0]
print sum
#print cv.cvmGet(iimg.integralImage,size.height-1,size.width-1)
print calcBox(iimg.integralImage,1,1,4)
boxSize = 16
bestValue = -999999.9
best_i = 0
best_j = 0
for i in range(size.height-boxSize):
for j in range(size.width-boxSize):
box1 = calcBox(iimg.integralImage,i,j,boxSize)
box2 = calcBox(iimg.integralImage,i+6,j+6,4)
value = box2*box2/box1
if(value > bestValue):
