reolink, also look at the frigate nvr software, they have a list for decent recommendations

This is the way.

Reolink cameras are pretty good for what they are. Just dont buy into their NVR solution...

Frigate also has some interesting applications to go along with it, see: https://github.com/mmcc-xx/WhosAtMyFeeder

I also have YOLO on my to do list for the home cameras.

What's wrong with their NVRs? I have one connected to some Reolink cameras (though not yet the full house-surrounding setup I have planned) and it seems fine so far.

Reolink with Synology NAS using their native Surveillance app. All stored locally, no cloud. One issue with Reolink I haven’t solved is that it is unable to detect approaching cars in the night. Departing cars work fine though. Otherwise no complaints.

Dont dorget to pay Synology for the extra licenses for more cameras.

Yes I did pay for extra licenses. I also paid for the cameras to Reolink and disks to WD.

I’m less happy with Reolink and most of Reolink are now in a drawer. Been a fan of Amcrest and Scrypted.

How do you "detect specific signals in their DNS configurations"? The naive answer is you have access to dns hosters. Or from cookies? or ... ?

I guess training LLMs on works of fiction/sci-fi would not be of net benefit. No distinction between reality and perceived reality. Considering LLMs have a hallucination problem as it is.

I appreciate your work, Bolderman. Sorry to see it go. May the future be fruitful.

go into your browser history and follow the time frame and trail. in firefox, the browser history is very detailed.

How would cmake enter the picture? if you have nested CMakeLists.txt files, cmake appears to build within nested directories for 'add_subdirectory' invocations. Does that help with the cache directory conflict?

It explicitly says using a single picture. Wouldn't the world become even more expressive if multiple pictures could be added, such as in a photogrammetry scenario?

I had the same question!

I will have to try this, I have a super edge use case: incomplete bathymetric depth map (lidar boat could not access some areas), coincidentally the most interesting areas are not in the data. My second piece of data is from flyover video (areas of interest where water is also clear enough to see the bottom). With enough video I can mostly remove the water-borne artifacts (ripples, reflections etc) and enhance the river bottom imagery enough to attempt photogrammetric reconstruction. The bottleneck here is that it takes multiple angles to do that, and the visibility through water is highly dependent on the angle of sunlight vs angle of camera.

Instead of doing multiple flyovers at different times of day to try and get enough angles for a mesh reconstruction, maybe this can do it relatively well from one angle!

This does sound interesting, but is generative AI the right tool for this use case? A generative AI model sounds great for making a video game or even exploring historical photos, where introducing invented artifacts is a feature not a bug. In your case, wouldn't hallucinations be a problem?

I agree with you that it would be "made up" content, but I don't know how else to fill in the missing data. The area not scanned by LiDAR is just upstream from and directly beneath a set of whitewater rapids.

I can guesstimate the shape of the bottom by the behaviour of the flow, and hand-model the missing parts of the mesh. I thought outsourcing that to a generative model would be a nice shortcut -- and who knows, likely it'll synthesize it more true-to-nature than I would.

That sounds quite interesting. Why are you trying to reconstruct a river bottom?

The shape river bottom causes a few standing waves / rapids to form. I am fascinated by it and want to better understand the hows and whys of it.

I'm also very curious. Searching for missing persons? Buried treasure?

There are other models that do that, such as photogrammetry models.

But someone could possibly extend the work so it was a few photos rather than one or many. The way you ask the question makes it sound like you think it was a trivial detail they just forgot about.

"If training-related crawling continues to dominate while referrals stay flat, creators face a paradox: feeding AI systems without gaining traffic in return. Many want their content to appear in chatbot answers, but without monetization or cooperation, the incentive to produce quality work declines."

Are there any resources which discuss ways of achieving balance? Perhaps by including references or bibliography or citations for content used in top of page summaries?

Will the well run dry for current content?

It is probably the latest in design, but, ... can the text be lightened up? Or provide a CSS toggle to use a different template? it is uncomfortable to trying to read whatever it is you wrote.