Tips Tricks 25 - Locating objects in large images using template matching

[@bentcrazy1324]

I wrote my own template matching software in c# without any external image processing libraries. Works quite well if you don't mind waiting minutes for a result when processing large images.

[@svetoslavchilingirov3858]

ok

[@whlau6191]

Thanks a lot for your amazing sharing! If my target(s) in the source image may have different orientation, slightly different scale, slight variation in xy ratio, and mild alteration in intensity compared with my “template”. Could you suggest my direction of python coding or modification of your code? Thanks a lot!!

[@caiyu538]

I follow up your series, The more I read, the more I realized them excellent tutorials

[@saikiriti2716]

How can we give 2 different images as templates to match with large image, whether those 2 image templates are there or not?

[@TheSoonAnn]

very interesting. clear explanation too

[@ruslansobr]

Thanks. Can opencv recognize rotated images?

[@ajarivas72]

Great question

[@ausialfrai3335]

Thank you Sreeni😊

[@pravinthakur310]

Line 86 is not visible properly...at the last within int() we cannot see...so please show what is written there

[@Andrey43915]

Now you never need to wonder where's Wally is.

[@alanjohnstone8766]

It seems to me that the size of the difference will also depend on the size of the template so smaller templates will have smaller differences for the same amount of disparity. I thing you need to “normalise” by the area.

[@mohammadrajabi3152]

Thanks. Could you please make a video about semantic segmentation with json file 🤟🏽 It would be very helpful 🌹

[@thomasv860]

That’s great..thank you very much

[@sreedevi123456]

thank you....very interesting

[@surflaweb]

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