Show HN: Remove backgrounds from images online
81–90 of 148 posts
Re: Show HN: Remove backgrounds from images online
#82Re: Show HN: Remove backgrounds from images online
#83Very cool. The red and green suck for us color blind folks, though.
(I'm one of the devs)
Re: Show HN: Remove backgrounds from images online
#84intensely cool. very useful for re-purposing icons whose backgrounds would otherwise clash with a website's color theme.
(I'm one of the devs)
Re: Show HN: Remove backgrounds from images online
#85Really nice. First time I tried it I carefully shaded the red and green areas and it worked ok. After looking through the comments here though I clicked green once on the part I wanted to save and then 3-5 red clicks in other areas and it worked flawlessly. Great job.
Re: Show HN: Remove backgrounds from images online
#86this is really awesome! undo/redo and "start over" would be very helpful.
Re: Show HN: Remove backgrounds from images online
#87Filters could also be a consideration for future (ie. popular things like black and white background with a color foreground)
Re: Show HN: Remove backgrounds from images online
#88Is anyone else getting an error? "Network Error We are having trouble connecting to the server. The following tasks have been unable to complete: Connecting to worker "Unable to connect to the worker." Waiting" This is occurring after I drag and drop an image
Sorry, that's me being slow scaling out the backend. I've added a couple more boxes. (Haven't added auto-scaling yet)
http://ec2-23-20-184-45.compute-1.amazonaws.com:9006/api/web....
Re: Show HN: Remove backgrounds from images online
#89I actually wrote my honours thesis on this topic. In academia it's called Alpha Matting/Image Matting. There's a great website http://alphamatting.com/ that provides a benchmark dataset and a comparison of a lot of influential methods. I applaud your work in making a real time and interactive matting algorithm! One day it might be also as accurate as state of the art methods. You guys should write a paper about your…
(I'm one of the devs.) Thanks for the link! Real time is a pretty big constraint, and the input for those results is a much more complete labeling than we expect (only 22 to 44 pixels around the ground truth boundary are left uncertain). But I'll definitely read the paper and hopefully we can gain some insights from it!