keep getting this error: AttributeError: 'NoneType' object has no attribute 'shape'. I do not know how to fix it. I attached my code and error as well.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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I keep getting this error: AttributeError: 'NoneType' object has no attribute 'shape'. I do not know how to fix it. I attached my code and error as well. 

Traceback (most recent call last):
File "/Users/cadenlang/Documents/Harris Corners.py", line 9, in <module>
row = image.shape[0]
AttributeError: 'NoneType' object has no attribute 'shape'
>>>
Transcribed Image Text:Traceback (most recent call last): File "/Users/cadenlang/Documents/Harris Corners.py", line 9, in <module> row = image.shape[0] AttributeError: 'NoneType' object has no attribute 'shape' >>>
import cv2
import numpy
image = cv2.imread ('checkers.png')
threshold1 = cv2.imread ("checkers.png")
threshold2 = cv2.imread("checkers.png")
origingrayscale = cv2.imread ("checkers.png", 0)
row = image.shape[0]
column =
image.shape[1]
Ix = numpy.zeros ( (row, column), numpy.float32)
Iy = numpy .zeros ( (row,column), numpy.float32)
IxIx = numpy.zeros ((row,column), numpy.float32)
IyIy = numpy.zeros( (row, column), numpy.float32)
IxIy = numpy.zeros( (row, column), numpy.float32)
Cornerness = numpy.zeros((row,column), numpy.float32)
CornernessRange = numpy.zeros ((row,column), numpy.float32)
for r in range (row):
for c in range(column):
if (r > 0) and (r < row-1) and (c > 0) and (c < column-1):
Ix[r][c] = float(origingrayscale[r+1][c])
Iy[r][c] = float(origingrayscale[r][c+1])
IXIX[r][c] = Ix[r][c]*Ix[r][c]
IYIY[r][c]
IXIY[r][c]
float (origingrayscale[r-1][c])
float(origingrayscale[r][c-1])
Iy[r][c]*Iy[r][c]
Ix[r][c]*Iy[r][c]
%3D
%3D
Il || ||
Transcribed Image Text:import cv2 import numpy image = cv2.imread ('checkers.png') threshold1 = cv2.imread ("checkers.png") threshold2 = cv2.imread("checkers.png") origingrayscale = cv2.imread ("checkers.png", 0) row = image.shape[0] column = image.shape[1] Ix = numpy.zeros ( (row, column), numpy.float32) Iy = numpy .zeros ( (row,column), numpy.float32) IxIx = numpy.zeros ((row,column), numpy.float32) IyIy = numpy.zeros( (row, column), numpy.float32) IxIy = numpy.zeros( (row, column), numpy.float32) Cornerness = numpy.zeros((row,column), numpy.float32) CornernessRange = numpy.zeros ((row,column), numpy.float32) for r in range (row): for c in range(column): if (r > 0) and (r < row-1) and (c > 0) and (c < column-1): Ix[r][c] = float(origingrayscale[r+1][c]) Iy[r][c] = float(origingrayscale[r][c+1]) IXIX[r][c] = Ix[r][c]*Ix[r][c] IYIY[r][c] IXIY[r][c] float (origingrayscale[r-1][c]) float(origingrayscale[r][c-1]) Iy[r][c]*Iy[r][c] Ix[r][c]*Iy[r][c] %3D %3D Il || ||
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