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Automatic Number Plate Detection for Python using OpenCV

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Traceback (most recent call last): File "D:\Computer Vision\pyANPD-master\pyANPD.py", line 152, in o1 = process_image(path, 0, type='rect') File "D:\Computer Vision\pyANPD-master\pyANPD.py", line 73, in process_image gray = cv2.cvtColor(input_image, cv2.COLOR_BGR2GRAY) TypeError: Expected cv::UMat...

Would be great if the library had a direct `-blur` option, i.e. rather than just highlight the selected regions (which works well), it blurred them instead.

Using opencv-python-4.1.0.25, the following error is generated: ``` $ python pyANPD.py image.jpg Traceback (most recent call last): File "pyANPD.py", line 152, in o1 = process_image(path, 0, type='rect') File "pyANPD.py", line...

HI! How can I deal with this problem? I use the report picture to run the code but it have the problem! ![default](https://user-images.githubusercontent.com/37938458/42734460-e3dfe5ae-8876-11e8-98ec-1a44dd17e426.PNG)

TypeError Traceback (most recent call last) in () 1 t1 = time.time() ----> 2 o1 = process_image(path, 0, type='rect') 3 #cv2.imwrite('%s-detected.png' % path[:path.rfind('.')], o1) 4 5 print ('Time taken: %d...

Hello! How to display all possible contours? i.e minAreaRect()s are shown in orange and the one which satisfies our criteria is in green.