Python 使用视频流计算对象的数量

我目前正在开发一个游戏，涉及使用视频流使用openCV库，使用Python作为编程语言。游戏由12个QR标记（对象）组成。如何使用OpenCV（cv2库）计算视频流中对象的数量（基准标记或QR码）。以下函数调用一个库函数，该函数读取QR码，并使用use或增强现实为每个标记创建一个框架：

def readAndDetect(image):

    global markerDictionary
    markers = detect_markers(image)

    for marker in markers:
        marker.highlite_marker(image)
        #Create a dictionary key == MarkerId , Values: (center)]

        markerDictionary[marker.id] = marker.center
        print(markerDictionary)
    cv2.imshow('Test Frame', image)

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我的代码不断生成对象，即不断复制和计数标记。我想使用历史记录来跟踪对象以限制重复。有什么方法可以限制复制吗？

解决方案是创建一个历史记录，按照如下方式维护和跟踪对象的数量：

global StringPair

    markers = detect_markers(image)    

    # to remove duplicate 
    refined_markers = dict( [ ( marker.id, marker ) for marker in markers if self.checkForExistance(marker.id) ]  )
    # And then Assign the values to the markers As result, markers has no duplicate     
    markers = [ refined_markers[idx] for idx in refined_markers  ]

    # create history
    self.history.insert(0, markers )
    #print (">>>", history)
    if len(self.history) > 30:
        self.history.pop()

    # get all markers from history
    #this will be my list for stuff
    all_markers = {}
    for entry in reversed(self.history):
        for marker in entry:
            all_markers[marker.id] = marker

    #Generate and highlight the markers          
    for idx in all_markers:
        marker = all_markers[idx]
        marker.highlite_marker(image)        

    # Number of detected markers        
    self.count2 = len(all_markers)