def motion_blur1(image, degree=10, angle=45): image = np.array(image) # 这里生成任意角度的运动模糊kernel的矩阵， degree越大，模糊程度越高 M = cv.getRotationMatrix2D((degree / 2, degree / 2), angle, 1) motion_blur_kernel = np.diag(np.ones(degree)) motion_blur_kernel = cv.warpAffine(motion_blur_kernel, M, (degree, degree)) motion_blur_kernel = motion_blur_kernel / degree blurred = cv.filter2D(image, -1, motion_blur_kernel) # convert to uint8 cv.normalize(blurred, blurred, 0, 255, cv.NORM_MINMAX) blurred = np.array(blurred, dtype=np.uint8) return blurred filePath = r'D:\Users\Administrator\PycharmProjects\pythonProject\paper_need\blur' for i in os.listdir(filePath): outPath = r'D:\Users\Administrator\PycharmProjects\pythonProject\paper_need\blur.' + str(i) img = cv.imread("./deblur/"+i) img_ = motion_blur1(img) cv.imwrite(outPath,img_)，上述代码出现问题：cv2.error: OpenCV(4.7.0) :-1: error: (-5:Bad argument) in function 'filter2D' > Overload resolution failed: > - src data type = 17 is not supported > - Expected Ptrcv::UMat for argument 'src'

在你的代码中，img变量的类型是一个普通的numpy数组，它的数据类型为uint8。为了解决这个问题，你可以将img变量转换为OpenCV的UMat类型，这是OpenCV中的一种特殊类型，它可以更好地与OpenCV的函数一起使用。

你可以使用cv2.UMat()函数将numpy数组转换为UMat类型。修改代码如下：

filePath = r'D:\Users\Administrator\PycharmProjects\pythonProject\paper_need\blur'
for i in os.listdir(filePath):
    outPath = r'D:\Users\Administrator\PycharmProjects\pythonProject\paper_need\blur.' + str(i)
    img = cv.imread("./deblur/"+i)
    img = cv.UMat(img)  # 将numpy数组转换为UMat类型
    img_ = motion_blur1(img)
    cv.imwrite(outPath,img_)

这样应该就能解决上述错误了。如果还有问题，请提供更多的代码和错误信息，以便我们更好地帮助你解决问题。