Why are non-identical numpy arrays considered identical?

Question

Python

Hello!
I'm taking a piece of the grayscale image and assigning it to a variable so it's represented as an array.
With the help of OpenCV I find this pattern in the image.
OpenCV finds the pattern if it is in the image, and if not, it finds a place where it could be.
Therefore, I decided to cut out a piece of the image of the same size, in the place where OpenCV found it, and check if they match, then it found it correctly.
Where OpenCV found it correctly, equality worked, and where it didn’t, it didn’t (the first pattern from the list is not in the image, and equality did not work).
Question: There are, for some reason, such arrays that are not equal, but are counted, why is this and how to solve it?

Picture

Picture

Answer 1

So you are not comparing arrays element by element, but what the all function gives for them. See here .