machine-learning-for-software-engineers
Awesome-Deblurring
| machine-learning-for-software-engineers | Awesome-Deblurring | |
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| 2 | 7 | |
| 27,742 | 2,267 | |
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| 0.0 | 6.3 | |
| 6 days ago | 1 day ago | |
| Creative Commons Attribution Share Alike 4.0 | - |
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machine-learning-for-software-engineers
Awesome-Deblurring
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Can someone help me? Hit and run
This is a really tough one. I'm new to this and haven't made any progress after an hour. Here are some resources though: https://github.com/subeeshvasu/Awesome-Deblurring
- Think my gf of 8 years cheated - can anyone make the text In the cropped picture readable
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Removing blur from images – deconvolution and using simple image filters
This is an ongoing area of study. Here's a list of research (ML-focused) on the topic - https://github.com/subeeshvasu/Awesome-Deblurring
I personally used a technique (based on a paper from that list) that learns a kernel based on the idea that it's easier to learn a latent source image and a blur compared to learning a blurred image.
- When the protest is by bike the medics have to be creative
- protect protester identities
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Capture License plate of racist banana peel thrower from 4k video?
Could be some new hotness can get it done, but the real answer here is probably to record a video with a better angle, and closer. Maybe there's some way to hide the hardware so that it's not super obvious there's a camera.
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GDPR tool for video -> Found a tool that can blur faces in video exports... Lifesaver when the police requires data from my CCTV.
Does this remove enough information so the original faces can not be reconstructed (eg.: with some de-blur magic)? The blur is different in every frame, I suspect more information can be reconstructed because of that. Maybe pixelization or filling with a single color is a better solution.
What are some alternatives?
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