tracking.py 文件源码

def __init__(self):
        super(TargetFilterBGSub, self).__init__()

        # background subtractor
        #self._bgs = cv2.BackgroundSubtractorMOG()
        #self._bgs = cv2.BackgroundSubtractorMOG2()  # not great defaults, and need bShadowDetection to be False
        #self._bgs = cv2.BackgroundSubtractorMOG(history=10, nmixtures=3, backgroundRatio=0.2, noiseSigma=20)

        # varThreshold: higher values detect fewer/smaller changed regions
        self._bgs = cv2.createBackgroundSubtractorMOG2(history=0, varThreshold=8, detectShadows=False)

        # ??? history is ignored?  Only if learning_rate is > 0, or...?  Unclear.

        # Learning rate for background subtractor.
        # 0 = never adapts after initial background creation.
        # A bit above 0 looks good.
        # Lower values are better for detecting slower movement, though it
        # takes a bit of time to learn the background initially.
        self._learning_rate = 0.001

        # elements to reuse in erode/dilate
        # CROSS elimates more horizontal/vertical lines and leaves more
        # blobs with extent in both axes [than RECT].
        self._element_shrink = cv2.getStructuringElement(cv2.MORPH_CROSS,(5,5))
        self._element_grow = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(7,7))