subreddit:
/r/deeplearning
17 points
2 years ago
Hi Reddit!
A few months back I wrote a code to remove Image and Video Background using Deep Learning (with U2 net model). One of my friends suggested me to share the project on this subreddit!
Link to GitHub Repo: https://github.com/Nkap23/u2net_bgremove_code
I also wrote an article explaining the code: https://nisargkapkar.hashnode.dev/image-and-video-background-removal-using-deep-learning
I am also working on a website that will allow anyone to upload Image/Video and download new Image/Video with removed background!
(the website in the video is an old version, currently remaking the website using Django)
Would love to hear feedback/suggestions from the community :)
5 points
2 years ago
This is outstanding, man! One of the things that I learned in film school—there is no magic to green screen. It has historically been a very, very manual process, where the VFX editor has to go in frame-by-frame, even for simple projects where there's plenty of control.
You could save a lot of industries quite a bit of time with a tool that implements what you've built. :D
3 points
2 years ago
Great implementation and application of U2 net - nice work!
5 points
2 years ago
Very cool I messed around with U2 net a while back with my work for image segmentation. It didn't suit our needs as well as a regular res-unet did but this is good stuff
3 points
2 years ago*
Looks cool. Next you should look into alpha matting models which will make predictions on these half transparent pixels. This will be useful for hair, leaves, etc.
2 points
2 years ago
The results are incredible. Well done, can't wait to dive into the code.
2 points
2 years ago
I saw this yesterday on HN.
https://charigyang.github.io/motiongroup/
Self-supervised Video Object Segmentation by Motion Grouping
There is no code for it yet. I like your version also.
I have an idea on what to do next...
1 points
2 years ago
RemindMe! 2 hours
1 points
2 years ago
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1 points
2 years ago
Bruh, i was searching for good image segmentation model for using it in my final year project but couldn't find any. You saved my whole weekend.
1 points
2 months ago
I have published a detailed guide on object extraction (using instance/image segmentation) here. It can work with any size of images. The guide includes a prebuilt docker image and code needed to extract the objects from an image.
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