def getConeCenterPoint(self,frame): o_contours = cvUtil.getContoursForColor(frame,FrameProcessor.ORANGE_LOW_HSV,FrameProcessor.ORANGE_HIGH_HSV, FrameProcessor.CONE_MIN_AREA,FrameProcessor.CONE_MAX_AREA,FrameProcessor.CONE_KERNEL) if(len(o_contours) > 0): lrgContour = cvUtil.getLargestContour(o_contours) centerLst = cvUtil.getCenterOfContours([lrgContour]) cvUtil.drawCircleForPoints(frame,centerLst,3,(0,255,0),3) return centerLst[0] return None
def getConeCenterPoint(self, frame):
o_contours = cvUtil.getContoursForColor(frame,
FrameProcessor.ORANGE_LOW_HSV,
FrameProcessor.ORANGE_HIGH_HSV,
FrameProcessor.CONE_MIN_AREA,
FrameProcessor.CONE_MAX_AREA,
FrameProcessor.CONE_KERNEL)
if (len(o_contours) > 0):
lrgContour = cvUtil.getLargestContour(o_contours)
centerLst = cvUtil.getCenterOfContours([lrgContour])
cvUtil.drawCircleForPoints(frame, centerLst, 3, (0, 255, 0), 3)
return centerLst[0]
return None
videoCap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, FRAME_HEIGHT)
kernel = np.ones((2, 2), np.uint8)
while (True):
ret, frame = videoCap.read()
cv2.setMouseCallback('frame', fc.frameClickEvent, frame)
hsvFrame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
threshImg = cv2.inRange(hsvFrame, selectLowHSV, selectHighHSV)
algorithms.largestArea = 0
algorithms.minPtsDistance = sys.float_info.max
contours = cvUtil.getContoursForColor(frame, selectLowHSV, selectHighHSV,
MIN_CONTOUR_AREA, MAX_CONTOUR_AREA)
centerLst = algorithms.removeCloseContours(contours, 10)
cvUtil.drawCircleForPoints(frame, centerLst, 5, (0, 255, 0), 1)
print centerLst
closestCenters = algorithms.getNClosestPoints(centerLst, 4)
cvUtil.drawCircleForPoints(frame, closestCenters, 5, (0, 255, 0), 1)
'''
if(closestCenters == None):
cv2.imshow('frame',frame)
continue
lrgTriPtList = algorithms.getLargestTriangle(closestCenters)
baseCenterPt = algorithms.getClosestPt(lrgTriPtList,closestCenters)
sortedPts = algorithms.getSortedPtListInTri(baseCenterPt,lrgTriPtList)
drawDirectionalTriangle(frame,sortedPts)
#cvUtil.drawCircleForPoints(frame,closestCenters,10,(0,255,0),2)
kernel = np.ones((2,2),np.uint8)
while(True):
ret,frame = videoCap.read()
cv2.setMouseCallback('frame',fc.frameClickEvent,frame)
hsvFrame = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
threshImg = cv2.inRange(hsvFrame,selectLowHSV,selectHighHSV)
algorithms.largestArea = 0
algorithms.minPtsDistance = sys.float_info.max
contours = cvUtil.getContoursForColor(frame,selectLowHSV,selectHighHSV,MIN_CONTOUR_AREA,MAX_CONTOUR_AREA)
centerLst = algorithms.removeCloseContours(contours,10)
cvUtil.drawCircleForPoints(frame,centerLst,5,(0,255,0),1)
print centerLst
closestCenters = algorithms.getNClosestPoints(centerLst,4)
cvUtil.drawCircleForPoints(frame,closestCenters,5,(0,255,0),1)
'''
if(closestCenters == None):
cv2.imshow('frame',frame)
continue
lrgTriPtList = algorithms.getLargestTriangle(closestCenters)
baseCenterPt = algorithms.getClosestPt(lrgTriPtList,closestCenters)
sortedPts = algorithms.getSortedPtListInTri(baseCenterPt,lrgTriPtList)
drawDirectionalTriangle(frame,sortedPts)
