Perfect, that’s what I needed! I’m using this to create a snapshot test for a PDF. Turns out this is quite simple to do!
a8t
kip
ex_cldr Core Team
Glad to hear you’re up and running. Image comparison is quite a tricky topic. If you find hamming distance doesn’t work well for you, you might try Image.compare/3 since it has more tunable options.
Kumar
Hello, am just a observer to this conversation. Is image difference a module in this library and can it be used to detect defects in a, roll process in real- time ( by comparing a master image to the acquired video or frames from industrial camera)
kip
ex_cldr Core Team
Image.compare/3 provides a reasonable basis for comparing images. It will also return an image that highlights the differences between the two images. This is most useful for human evaluation but it might be used for further image processing.
Video frames can be acquired through the Image.Video module - which is a simple wrapper around Evision.VideoCapture.
So yes, you can compare a master image to frames from a camera. But I don’t believe you’ll get sustainable real-time streaming performance at typical video frame rates.
I would consider looking at what native capabilities exist in evision which is NIF-based wrapper upon OpenCV.
You might find that membrane gives you a solid foundation for the video stream and capture functions which could then be combined with either eVision or potentially image.
dimitrije
Hello, I know it is been more then a year, but client shutdown and now re introduced this project to me.
What did you refer on this ? To do all client(browser side ) ?
With JS and stuff ?
I am really not good at JS 
Thanks
kip
ex_cldr Core Team
I think my example code from July 2023 should work reasonably well with Liveview. I would still try to get the license plate template as an SVG so that the browser can scale it correctly.
kip
ex_cldr Core Team
kip
ex_cldr Core Team
Thanks for the kind words @jc00ke. The real credit goes to @akash-akya who does the hard work of wrapping libvips in a NIF with vix. And of course the amazing John Cupitt who leads the development of libvips and who is incredibly responsive and supportive of users of his work. Lastly, evision by @cocoa who does amazing code wrangling to bring OpenCV into the Elixir ecosystem.
image is just an axiomatic Elixir wrapper of their work, but I’m happy you find it useful.
Expect a 1.0 release in January 2025!
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