HistoAnaly_Final

counter=0
    index = {}
    images = {}
    results =[]
    while counter<total_count:
        name="test%d.jpg" % counter
        image = cv2.imread(name)
        images[name] = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        hist = cv2.calcHist(image, [0, 1, 2], None, [8, 8, 8],[0, 256, 0, 256, 0, 256])
        hist = cv2.normalize(hist, hist).flatten()
        index[name] = hist
        counter+=25

    counter=0
    i=0
    for (k, hist) in index.items():
        results.append([])
        name1="test%d.jpg" % counter
        name2="test%d.jpg" % (counter+25)
        if(counter<total_count-25):
            d = cv2.compareHist(index[name1], index[name2], cv2.HISTCMP_CORREL)
            results[i].append(d)
            results[i].append(1)
            counter+=25
            i+=1
    print results