Are there any open source alternatives for this? Or still too early?
SAM itself _is_ open source: https://github.com/facebookresearch/segment-anything
ASL 2 license.
Meta Releases New AI-Based Photo Segmentation Tool to Everybody
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Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#22Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#23Here's a great summary: https://twitter.com/DrJimFan/status/1643647849824161792
these are toy examples
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#24I relly hope Meta (FB research) releases this wonderful noise reduction library: https://github.com/facebookresearch/denoiser
I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the python Pandas Hugging Face lists etc). Incredibly ability to cut noise (tho, it must be noted that perceptual improvements for humans do not usually increase machine transcription as AI models strangely seem to pull info out of the dead space between words, and the noise around words...not just the voiced words themselves...the hidden vibrations, beyond our human ken, oh mere mortals unworthy of the grand perceptive machines...ugh...:p :o ;p xx ;p)
I contacted the authors via their FB emails but never heard back. Right now it's non-commercial and I was building a commercial product.
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#25I relly hope Meta (FB research) releases this wonderful noise reduction library: https://github.com/facebookresearch/denoiser I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the python Pandas Hugging Face lists etc). Incredibly ability to cut noise (tho, it must be noted that perceptual improvements for humans do not usually increase machine transcription as AI…
How does it compare to Adobe's recent AI audio enhancement?
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#26Earlier quoted context omitted.
Yes
Where? From the article: >Currently, the code (without the weights) is available on GitHub
In the README on said github
https://github.com/facebookresearch/segment-anything#model-c...
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#27Discussion from yesterday: https://news.ycombinator.com/item?id=35455566
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#28I'm extremely sorry but I might have submitted a mismatch title and URL. I stumbled on about 5-6 outlets via Twitter.
Here is the announcement from Meta (erstwhile Facebook)
https://ai.facebook.com/blog/segment-anything-foundation-mod...
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#29Any idea how/when this will make it into Photoshop?
According to the article, the weights haven't been open sourced, so nobody can take this and build their own Photoshop plugin.
But I'm incredibly curious if they'll license this to Adobe, or if Adobe's already got its own team building the same thing that'll be just as good, or what.
It's not super-clear to me why Meta as opposed to Adobe has come out with this first, except maybe to be able to apply filters to just segments of photos in Insta?
Re: Meta Releases New AI-Based Photo Segmentation Tool to Everybody
#30I relly hope Meta (FB research) releases this wonderful noise reduction library: https://github.com/facebookresearch/denoiser I tested MANY while building various audio tech and this was by far the best (beats the shit out of all the python Pandas Hugging Face lists etc). Incredibly ability to cut noise (tho, it must be noted that perceptual improvements for humans do not usually increase machine transcription as AI…
How does it compare to Adobe's recent AI audio enhancement?
Not sure. Anyone else wanna chime in on that?
BTW - in my search just now in response to your question, I see Dolby also has an API: https://dolby.io/products/enhance/