Thanks a lot
@MaggPi these resources are really nice!! ❤️
Thanks for pinging me. The list
@maggPi posted looks great and I didn't know most of them. However, I personally like to get some experience before diving in the theory of it all (which is necessary, don't skip it!). One resource I really liked is the generic OpenCV tutorials, very basic and provides a good background of basic tools needed. An additional great resource is Adrian Rosebrock's blog - PyImageSearch where he recently started diving into DL as well. I'd recommend you take time to study CV before DL, this background is valuable.
A couple ideas - what about classification (potentially as part of imagesequencer?) -- lots of interest in this for aerial photography but generally doesnt run in the browser (though see this prototype:
#clashifier) for quantifying land cover types.
Second, interest point finding and matching between image pairs -- there's an issue open here and it's a very big domain:
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@warren Awesome!! Can you please elaborate a little more on classification, it sounds very interesting!! Thanks for all the help here!! 😃