def setCvImage(self, image) :
self.originalHeight, self.originalWidth, _ = image.shape
if self._showContour == True :
cnt = numpy.array(self._contour, dtype=numpy.int32)
cv2.drawContours(image, [cnt], 0, [255, 255, 255], 3)
self.qtPixmap = QtCV.cvMatToQPixmap(image);
self.qtPixmap.scaled(self.width(), self.height(), Qt.KeepAspectRatio)
self.setPixmap(self.qtPixmap)
def setCvImage(self, image):
self.originalHeight, self.originalWidth, _ = image.shape
if self._showContour == True:
cnt = numpy.array(self._contour, dtype=numpy.int32)
cv2.drawContours(image, [cnt], 0, [255, 255, 255], 3)
self.qtPixmap = QtCV.cvMatToQPixmap(image)
self.qtPixmap.scaled(self.width(), self.height(), Qt.KeepAspectRatio)
self.setPixmap(self.qtPixmap)
def mainLoop() :
if stream.readable() == False :
return
frame = stream.getFrame();
objects = detector.findObjects(frame, ciw.npLower(), ciw.npUpper())
#debugInfo.setText(str(objects))
tracker.processNewPositions(objects)
x, y, r = tracker.objectPosition();
if x >= 0 and y >= 0 and r >= 0 :
cv2.circle(frame, (int(x), int(y)), int(r), (0, 0, 255), 3)
#imagew.setCvImage(frame)
#mask = cv2.inRange(frame, ciw.npLower(), ciw.npUpper())
#result = cv2.bitwise_and(frame, frame, mask = mask)
result = frame
qpm = QtCV.cvMatToQPixmap(frame)
imageLabel.setPixmap(qpm.scaled(qpm.width() * zoom, qpm.height() * zoom, Qt.KeepAspectRatio))
imageLabel.resize(qpm.size())
