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SAM 2: Segment Anything in Images and Videos

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Re: SAM 2: Segment Anything in Images and Videos

#151

Post by arendtio »

wongarsu wrote: post #124
sashank_1509 wrote: post #75

Earlier quoted context omitted.

Are there people who don’t accept cookies? Don’t most websites require you to accept cookies?

You don't need consent for functional cookies that are necessary for the website to work. Anything you are accepting or declining in a cookie popup shouldn't affect the user experience in any major way. I know a lot of people who reflexively reject all cookies, and the internet indeed does keep working for them.

For those who are interested. Things that can change are:

- ads are personalized (aka more relevant/powerful to make you want things).

- The experience can become slower when accepting all cookies due to the overhead generated by extensive tracking

In essence, there should be no relevant reason for users to accept cookies. Even accepting and rejecting should be equally easy. The only problem is that companies clearly prioritize pushing users to accept cookies because the cookies are valuable to them.

Re: SAM 2: Segment Anything in Images and Videos

#152

Post by cheema33 »

nravi20 wrote: post #2

Hi from the Segment Anything team! Today we’re releasing Segment Anything Model 2! It's the first unified model for real-time promptable object segmentation in images and videos! We're releasing the code, models, dataset, research paper and a demo! We're excited to see what everyone builds! https://ai.meta.com/blog/segment-anything-2/

I wonder if it can be used with security cameras somehow. My cameras currently alert me when they detect motion. It would be neat if this would help cameras become a little smarter. They should alert me only if someone other than a family member is detected.

The recognition logic doesn't have to always be reviewing the video, but only when motion is detected.

I think some cameras already try to do this, however, they are really bad at it.

Re: SAM 2: Segment Anything in Images and Videos

#153

Post by Tostino »

I wish there was a similar model like this, but for (long context) text.

Would be extremely useful to be able to semantically "chunk" text for RAG applications compared to the generally naive strategies employed today.

If I somehow overlooked it, would be very interested in hearing about what you've seen.

Re: SAM 2: Segment Anything in Images and Videos

#154

Post by sorenjan »

cheema33 wrote: post #152
nravi20 wrote: post #2

Hi from the Segment Anything team! Today we’re releasing Segment Anything Model 2! It's the first unified model for real-time promptable object segmentation in images and videos! We're releasing the code, models, dataset, research paper and a demo! We're excited to see what everyone builds! https://ai.meta.com/blog/segment-anything-2/

I wonder if it can be used with security cameras somehow. My cameras currently alert me when they detect motion. It would be neat if this would help cameras become a little smarter. They should alert me only if someone other than a family member is detected. The recognition logic doesn't have to always be reviewing the video, but only when motion is detected. I think some cameras already try to do this, however, they…

Frigate use both motion detection and object detection. Object detection is usually done with one of the Yolo models.

Re: SAM 2: Segment Anything in Images and Videos

#155

Post by HanClinto »

Tostino wrote: post #153

I wish there was a similar model like this, but for (long context) text. Would be extremely useful to be able to semantically "chunk" text for RAG applications compared to the generally naive strategies employed today. If I somehow overlooked it, would be very interested in hearing about what you've seen.

Semantic chunking. This is an intriguing idea.

I feel like one could do this with a chain of LLM prompts -- extract the primary subjects or topics from this long document, then prompt again (1 at a time?) to pull out everything related to each topic from the document and collate it into one semantic chunk.

At the very least, a dataset / benchmark centered around this task feels like it would be really useful.

Re: SAM 2: Segment Anything in Images and Videos

#156

Post by Tostino »

HanClinto wrote: post #155
Tostino wrote: post #153

I wish there was a similar model like this, but for (long context) text. Would be extremely useful to be able to semantically "chunk" text for RAG applications compared to the generally naive strategies employed today. If I somehow overlooked it, would be very interested in hearing about what you've seen.

Semantic chunking. This is an intriguing idea. I feel like one could do this with a chain of LLM prompts -- extract the primary subjects or topics from this long document, then prompt again (1 at a time?) to pull out everything related to each topic from the document and collate it into one semantic chunk. At the very least, a dataset / benchmark centered around this task feels like it would be really useful.

Yeah, I do think that's possible with LLM, just too slow and expensive to be usable in most settings.

Re: SAM 2: Segment Anything in Images and Videos

#157

Post by rkagerer »

sashank_1509 wrote: post #75
rkagerer wrote: post #53

Earlier quoted context omitted.

I guess the demo simply doesn't work unless you accept cookies?

Are there people who don’t accept cookies? Don’t most websites require you to accept cookies?

I don't. I see a few sibling comments who don't accept them either. And now I'm curious to know if there's a behavioral age gap - i.e. have the younger crowd been defacto-trained to always accept them?

Re: SAM 2: Segment Anything in Images and Videos

#159

Post by gpjanik »

maeil wrote: post #107
gpjanik wrote: post #96

Hi from Germany. In case you were wondering, we regulated ourselves to the point where I can't even see the demo of SAM2 until some other service than Meta deploys it. Does anyone know if this already happened?

Sounds like big tech's strategy to make you protest against regulating them is working brilliantly.

Regulation in this space works exclusively in favor of big tech, not against them. Almost all of that regulation was literally written for the benefit and with aid of the big tech.
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