使用轨迹栏更改伽玛值

Question

我正在尝试使用堆栈栏更改伽玛值。我需要数组来使其工作还是有其他方法来做到这一点？我是python的菜鸟，我不知道任何其他编程语言。

while (1):
    # Capture frame-by-frame
    cv2.createTrackbar("gammaLevel", "Disparity Map", 1, 10, nothing)

    gammaLevel = 10
    gammaLevel = cv2.getTrackbarPos("gammaLevel", "Disparity Map")

    ret1, imgL = cap1.read()
    ret2, imgR = cap2.read()
    imgL = adjust_gamma(imgL, gammaLevel)
    imgR = adjust_gamma(imgR, gammaLevel)
    if (ret1 == True & ret2 == True):
        window_size = 2
        left_matcher = cv2.StereoSGBM_create(
            minDisparity=0,
            numDisparities=192,  # max_disp has to be dividable by 16 f. E. HH 192, 256
            blockSize=2,
            P1=8 * 3 * window_size ** 2,
            P2=32 * 3 * window_size ** 2,
            disp12MaxDiff=1,
            uniquenessRatio=15,
            speckleWindowSize=50,
            speckleRange=1,
            preFilterCap=63,
            mode=cv2.STEREO_SGBM_MODE_SGBM_3WAY
        )

        right_matcher = cv2.ximgproc.createRightMatcher(left_matcher)

        # FILTER Parameters
        lmbda = 800000
        sigma = 1.0
        visual_multiplier = 1.0

        wls_filter = cv2.ximgproc.createDisparityWLSFilter(matcher_left=left_matcher)
        wls_filter.setLambda(lmbda)
        wls_filter.setSigmaColor(sigma)

        print('computing disparity...')
        displ = left_matcher.compute(imgL, imgR)  # .astype(np.float32)/16
        dispr = right_matcher.compute(imgR, imgL)  # .astype(np.float32)/16
        displ = np.int16(displ)
        dispr = np.int16(dispr)
        filteredImg = wls_filter.filter(displ, imgL, None, dispr)  # important to put "imgL" here!!!

        filteredImg = cv2.normalize(src=filteredImg, dst=filteredImg, beta=0, alpha=255, norm_type=cv2.NORM_MINMAX);
        filteredImg = np.uint8(filteredImg)
        ret, thresh1 = cv2.threshold(filteredImg, 210, 255, cv2.THRESH_BINARY)

        # Display the resulting frame
        cv2.imshow('Disparity Map', filteredImg)
        #cv2.imshow('Frame1',thresh1)
        #cv2.imshow('Frame2',imgR)
        # Press Q on keyboard to  exit
        if cv2.waitKey(1) & 0xFF == ord('q'):
            exit(0)