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2017-08-30 10:42:51 -0600 | asked a question | Removing parts of the image Removing parts of the image Hi, I have an image and I want to simply remove(or mask) parts of it. this is my original im |
2017-02-21 22:14:45 -0600 | asked a question | Create Kik and Facebook messenger QR like codes I'm looking for a start point to start researching on how to create a code like Facebook, Kik, Zappar ... they all seem to follow a similar approach, I wanted to ask if you know any sdk or library which allows you to develop something similar. |
2017-01-05 12:05:55 -0600 | commented question | How to extract white paper from image Thanks very much @berak for you condescending comment. |
2017-01-05 11:30:53 -0600 | commented question | How to extract white paper from image Thanks very much for judging @berak . As i said I'm new to opencv and looking for clues and where to start for this problem. |
2017-01-05 10:55:44 -0600 | asked a question | How to extract white paper from image Hi, I'm new to opencv , I want to write a script for having an effect like Microsoft office lens, which can detect a piece of paper no matter the camera angle and put a rectangle around it and crop it and then unwrap it.
I wanted to ask if you guys know any approaches to such problem using openCV |
2016-11-19 13:31:53 -0600 | asked a question | Uninstalling opencv previous version I have install opencv 2.4 before and now I'm trying to install opencv3, it seems the installation process goes without problem but when I try to get opencv version with cv2.__version__ it still gives me 2.4.12 . I found out that by using uninstall I can uninstall it but the problem is I don't know where it is installed. |
2016-10-31 05:42:35 -0600 | asked a question | Compare two images for amount of duplicity Hi guys, my first post here :)
I've just started learning opencv , I wanted to make a program which can compare two images and tell by percentage how similar they are. I just know you can subtract images and tell if they are exactly the same or not. But what I'm looking for is a more relative way to tell by percentage their similarity. |