Unveiling Meta's Impressive CV Model: Sam 2

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⏱️Time Stamps:
00:00 Intro
00:58 Sam 1: Segment Anything Model
01:51 Sam 2
02:10 Meta Blog
03:27 Sam 2 Unified Architecture
04:57 Meta Sam 2 Demo
08:18 Meta Segment Anything Model Github
08:26 Sam 2 Code Samples

[randotkatsenko]

Ive developed a fully automatic video editor fort short form content. It would read the frames of the video, images, transcript and apply various effects based on simple text instructions.

THIS Meta's new model is THE missing piece to enable editing more complex scenarios in full Youtube-length videos. Impressive indeed and thank you for sharing this prompty after the release, Sam!

[nemonomen]

Cool to see Meta is releasing a new and improved version of Sam Altman.

[picklenickil]

Sam talking about Sam!

Multiverse of Sam😂

[thenoblerot]

Love the channel. I appreciate content that's not just all LLMs, all the time

[TailorJohnson-ly]

Never been a fan of Zuck. But that's all changing now. What hes doing by *truly* open sourcing everything is game changing for humanity. Thanks Sam! Keep it going Zuckerburg!!!

[tecnom]

Thanks for sharing, waiting for a Project using this Model !

[MrDanINSANE]

Is there a friendly user interface project such as Gradio interface to test SAM2 with video locally? (demo is there of course) but Locally will be nice to test with different hardware since SAM2 supposed to be faster.

[DanieleCorradetti-hnnm]

You should start covering vision models as you do LLMs🎉❤

[toadlguy]

This model, released in this way, will lead to so many interesting new applications. It would seem that it's use in sports and fitness analysis could be impressive. And even something like traffic analysis, which is currently being done by expensive systems can be done with a consumer camera and open source software. Kudo's to Meta, Mark, and, of course, the OG Sam for letting us all know about it 😁.

[paulmiller]

Oh no I will certainly need to add this to my ever-expanding list of AI investigations. Yes this is undoubtedly worthy cheers Sam.

[unclecode]

Wow! What’s left for OpenAI? How can they still be valued at $70 billion? Again Meta released another large model that allows people to generate synthetic data. I think the moat wasn't the LLM was becoming the one democratise it for everyone and Meta did that!

[ricosrealm]

Meta is killing it right now with fully open models.

[ahmadzaimhilmi]

Those who aren't following AI news are missing out on all the advancements in this field.

[henkhbit]

Impressive indeed. 👍 for Meta for open sourcing the model. I suppose Marc like your name and did a rocket launch😄

[NicolasEmbleton]

This is sick 😮. Thanks for sharing. Missed that.

[nullsmack]

is this something that can be run locally on custom video?

[SonGoku-pcjl]

10gb vram? is posible divide 16 ram with 4 vram nvidia 1070gtx? or cuantatizate uint8 or int4 i don't remember exactly word for presicion :P and you can make example of data from sam2 and make something with florence :)

[nufh]

Can we run this in normal computer or need a high end one?

[NakedSageAstrology]

Her name is Samantha. Tomorrow is July 31st.

[sondoan]

🎯 Key points for quick navigation:

🆕 Meta released the SAM 2 model, enhancing computer vision capabilities with real-time video processing.
🎥 SAM 2 supports video analysis, capable of processing up to 44 frames per second for real-time segmentation and tracking.
🛠️ The model allows segmentation with prompts and has been simplified for easier use, now integrating temporal memory.
🚀 SAM 2 is six times faster than its predecessor and offers improved accuracy and efficiency for data annotation.
📈 Meta has released SAM 2 with open-source code and weights under the Apache 2 license, promoting broader accessibility.
📊 A dataset of 51, 000 videos and over 600, 000 masklets accompanies SAM 2, aiding in the development of custom models.
🎨 The model can be used for various effects and applications, including real-time video effects and creative annotations.
💻 Example notebooks provided demonstrate how to use SAM 2 for accurate segmentation and tracking in both images and videos.

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