import cv2
import glob
import numpy as np

def modifiedLaplacian(img):
    ''''LAPM' algorithm (Nayar89)'''
    M = np.array([-1, 2, -1])
    G = cv2.getGaussianKernel(ksize=3, sigma=-1)
    Lx = cv2.sepFilter2D(src=img, ddepth=cv2.CV_64F, kernelX=M, kernelY=G)
    Ly = cv2.sepFilter2D(src=img, ddepth=cv2.CV_64F, kernelX=G, kernelY=M)
    FM = np.abs(Lx) + np.abs(Ly)
    return cv2.mean(FM)[0]

mylist = glob.glob("/home/ashutosh/Desktop/blur_dataset/images/*.jpg")
for item in mylist:
	crop_img = cv2.imread(item)
	lm = modifiedLaplacian(crop_img)
	print(item+"========"+str(lm))

Traceback (most recent call last):
  File "is_blur.py", line 17, in <module>
    lm = modifiedLaplacian(crop_img)
  File "is_blur.py", line 9, in modifiedLaplacian
    Lx = cv2.sepFilter2D(src=img, ddepth=cv2.CV_64F, kernelX=M, kernelY=G)
cv2.error: OpenCV(4.2.0) /io/opencv/modules/imgproc/src/filter.dispatch.cpp:1450: error: (-215:Assertion failed) kernelX.type() == kernelY.type() && (kernelX.cols == 1 || kernelX.rows == 1) && (kernelY.cols == 1 || kernelY.rows == 1) in function 'sepFilter2D'

double modifiedLaplacian(const cv::Mat& src)
{
        cv::Mat M = (cv::Mat_<double>(3, 1) << -1, 2, -1);
        cv::Mat G = cv::getGaussianKernel(3, -1, CV_64F);

        cv::Mat Lx;
        cv::sepFilter2D(src, Lx, CV_64F, M, G);

        cv::Mat Ly;
        cv::sepFilter2D(src, Ly, CV_64F, G, M);

        cv::Mat FM = cv::abs(Lx) + cv::abs(Ly);

        double focusMeasure = cv::mean(FM).val[0];
        return focusMeasure;
}