类型错误：预期的Ptr<；cv:：UMat>；对于参数'；垫'；在python中使用mss库

我试图截图使用mss库添加显示它使用下面的代码，但每次都得到相同的错误。 是否有此错误的修复程序

TypeError:参数“mat”应为Ptr

**我在Macos而不是windows中使用它

import cv2 as cv
import numpy as np
import os
from time import time
from mss import mss

os.chdir(os.path.dirname(os.path.abspath(__file__)))

loop_time = time()
with mss() as sct:
    while (True):
        
        monitor_1 = sct.monitors[1]  # Identify the display to capture
        screenshot = sct.grab(monitor_1)
        
        cv.imshow('result', screenshot)
        
        print('FPS {}',format(1 / (time() - loop_time)))
        loop_time = time()
        
        if cv.waitKey(1) == ord('q'):
            cv.destroyAllWindows()
            break
    

print('done')

您必须将“屏幕截图”转换为cv:：UMat:

import time

import cv2
import mss
import numpy


with mss.mss() as sct:
    # Part of the screen to capture
    monitor = {"top": 40, "left": 0, "width": 800, "height": 640}

    while "Screen capturing":
        last_time = time.time()

        # Get raw pixels from the screen, save it to a Numpy array
        img = numpy.array(sct.grab(monitor))

        # Display the picture
        cv2.imshow("OpenCV/Numpy normal", img)

        # Display the picture in grayscale
        # cv2.imshow('OpenCV/Numpy grayscale',
        #            cv2.cvtColor(img, cv2.COLOR_BGRA2GRAY))

        print("fps: {}".format(1 / (time.time() - last_time)))

        # Press "q" to quit
        if cv2.waitKey(25) & 0xFF == ord("q"):
            cv2.destroyAllWindows()
            break

这是来自

的示例，您必须将“屏幕截图”转换为cv:：UMat:

import time

import cv2
import mss
import numpy


with mss.mss() as sct:
    # Part of the screen to capture
    monitor = {"top": 40, "left": 0, "width": 800, "height": 640}

    while "Screen capturing":
        last_time = time.time()

        # Get raw pixels from the screen, save it to a Numpy array
        img = numpy.array(sct.grab(monitor))

        # Display the picture
        cv2.imshow("OpenCV/Numpy normal", img)

        # Display the picture in grayscale
        # cv2.imshow('OpenCV/Numpy grayscale',
        #            cv2.cvtColor(img, cv2.COLOR_BGRA2GRAY))

        print("fps: {}".format(1 / (time.time() - last_time)))

        # Press "q" to quit
        if cv2.waitKey(25) & 0xFF == ord("q"):
            cv2.destroyAllWindows()
            break

这是我们的例子