![]() The error on the perspective_transform import will now disappear. You have now created the transform module. You can then check if userinput :2 is equal to go or not, and continue from there. So this notation will include userinput 0 and userinput 1. This code will include all characters up to, but not including the index typed. Warped = cv2.warpPerspective(image, transform_matrix, (maxWidth, maxHeight)) You can check the first two character in a string by typing userinput :2. ![]() Transform_matrix = cv2.getPerspectiveTransform(rect, dst) # compute the perspective transform matrix '''construct the set of destination points to obtain an overhead shot''' MaxHeight = max(int(heightA), int(heightB)) Maximum distance between the top-left and bottom-left y-coordinates ''' '''compute the height of the new image, which will be the X-coordinates or the top-right and top-left x-coordinates ''' Also, consider the use of the with.as context manager to handle opening and closing of your files. Maximum distance between bottom-right and bottom-left This is how your code should be: def check (word): with open ('res\powerserv 1.txt') as datafile: for line in datafile: if word in line: return True return False print (check ('your word')) The return False comes outside the loop. '''compute the width of the new image, which will be the # unpack the ordered coordinates individually It will then calculate the perspective transform matrix and return the warped image. Whereas the bottom-left will have the largest difference '''Ĭreate a second function that will compute the corner coordinates of the new image and obtain an overhead shot. Top-right point will have the smallest difference, '''computing the difference between the points, the # bottom-right point will have the largest sum Python offers many libraries to do this task. In such cases, we convert that format (like PDF or JPG, etc.) to the text format, in order to analyze the data in a better way. # top-left point will have the smallest sum Python Reading contents of PDF using OCR (Optical Character Recognition) Python is widely used for analyzing the data but the data need not be in the required format always. # initializing the list of coordinates to be ordered The first coordinate will be that of the top left corner, the second will be that of the top right corner, the third will be of the bottom right corner, and the fourth coordinate will be that of the bottom left corner. Create a function that will order the coordinates of the document corner points. Open the transform.py file you created earlier. It will also transform the document image into a different plane and change the camera angle to an overhead shot. The module will order the points of the document corners. To obtain a warped image, you need to create a simple module that will perform the perspective transformation. ![]() Warped_image = cv2.cvtColor(warped_image, cv2.COLOR_BGR2GRAY)Ĭv2.imshow( "Warped Image", imutils.resize(warped_image, height= 650)) Warped_image = perspective_transform(copy, doc.reshape( 4, 2) * ratio)
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