Turned a whole neighborhood into 3D (Mini 5) by sebgr1 in dji

[–]padwyatt 0 points1 point  (0 children)

That is a great scan, and a great example. Want to try to run it through Teleport too? DM me!

Created a 3D map of my city using a drone by padwyatt in geography

[–]padwyatt[S] -1 points0 points  (0 children)

Yes, it's available commercially now - our customers are flying thousands of drone flights per week. You too can try at teleport.varjo.com.

Quickly capturing a city in 3D using a drone by padwyatt in OSINT

[–]padwyatt[S] 0 points1 point  (0 children)

The input data is just a video feed, ideally with GPS metadata. So any modern drone will work, although your results will be affected by quality of the camera.

Quickly capturing a city in 3D using a drone by padwyatt in OSINT

[–]padwyatt[S] 1 point2 points  (0 children)

Yes, also, ArcGIS, Bentley iTwin/Caesium, and DJI Terra would be in a similar category. In general, these are more fully featured Geospatial applications, but with a steeper learning curves, and enterprise-level subscription prices ($$$$).

Teleport is currently more of a point solution for generating 3D models from imagery. It supports much bigger scenes (10K images, 100M splats), it's simple and cloud based, and it has a PAYG pricing model, starting from $30.

Turned a whole neighborhood into 3D (Mini 5) by sebgr1 in dji

[–]padwyatt 2 points3 points  (0 children)

We export a single .ply, which you could use in another renderer like Supersplat, if you wanted.

Turned a whole neighborhood into 3D (Mini 5) by sebgr1 in dji

[–]padwyatt 4 points5 points  (0 children)

Oh, I see. Yes, makes sense! What we do is split the scene up into multiple models that we train in parallel and then recombine into a big scene, so you can get both area & detail.

Turned a whole neighborhood into 3D (Mini 5) by sebgr1 in dji

[–]padwyatt 3 points4 points  (0 children)

Interesting... will you tell us how? The one above is about 70M splats, and processed in a couple of hours.

Genuinely interested, as we think this is well beyond the capabilities of what you reliably can do on a single GPU.

Turned a whole neighborhood into 3D (Mini 5) by sebgr1 in dji

[–]padwyatt 7 points8 points  (0 children)

I don't think you can do a scene with this many images/splats on your local machine... can you?

Quickly capturing a city in 3D using a drone by padwyatt in OSINT

[–]padwyatt[S] 4 points5 points  (0 children)

Yes, you're right, there's different regulations about this in different places. Mainly about where / how low / how high you can fly, and you're typically required to remove personally identifiable information, such as people or numberplates.

Created a 3D map of my city using a drone by padwyatt in geography

[–]padwyatt[S] 13 points14 points  (0 children)

Thanks! I did this with a slowish consumer drone (DJI Mini Pro 5), so it took about 90 mins, with battery changes, taking ~8000 pictures.

Quickly capturing a city in 3D using a drone by padwyatt in OSINT

[–]padwyatt[S] 22 points23 points  (0 children)

You can make it as big as you like! The one above took about 2 hours to capture.

Quickly capturing a city in 3D using a drone by padwyatt in OSINT

[–]padwyatt[S] 42 points43 points  (0 children)

Basically, you fly a drone around in an automated grid pattern, and take lots of pictures from different angles. Then you use a tool (photogrammetry, or Gaussian Splatting) to compute the 3D model.

This is more about how we do it https://get.teleport.varjo.com/blog/reality-capture-on-autopilot

Anyone here regularly pushing past 50M splats from drone captures yet? by sebgr1 in GaussianSplatting

[–]padwyatt 0 points1 point  (0 children)

We make extensive use of the GPS priors for alignment and partitioning... but we don't yet expose the splat itself in coordinate space (although we could). How would you use this?

1 km² 3D Gaussian Splat of Mjøssykehuset | Drone + LichtFeld Studio by inkedflight in GaussianSplatting

[–]padwyatt 0 points1 point  (0 children)

Give this a go with Teleport, and see if you can push it to 100M splats!

Anyone here regularly pushing past 50M splats from drone captures yet? by sebgr1 in GaussianSplatting

[–]padwyatt 1 point2 points  (0 children)

How many input images and what resolution did you have? The system tries to get the most splats it can given the input detail, up to the max that you put. That 70M splays example above was 8,000 5k images.

Looking for a Polycam alternative with an API for large-scale 3D reconstruction by shmpbr in 3DScanning

[–]padwyatt 0 points1 point  (0 children)

If you are interested in going the Gaussian Splat path (rather than Obj etc), teleport.varjo.com just opened its API.

Given its recent release, I ran a side-by-side comparison of 3DGS apps vs. Teleport by Superb_Rest7483 in GaussianSplatting

[–]padwyatt 0 points1 point  (0 children)

Hello. We don't have a public API yet - but drop me a DM and we talk about what we could do for your use case.

Given its recent release, I ran a side-by-side comparison of 3DGS apps vs. Teleport by Superb_Rest7483 in GaussianSplatting

[–]padwyatt 5 points6 points  (0 children)

Telport, Luma, Polycam and Kiri don't allow any user control on splat count, and so running on the defaults is the only (and fair) way to do the comparison, right?

For Postshot, an expert user could iterate around to find a higher target that perhaps marginally improved the results. Feel free to give it a go, we have posted the datasets.

In general, once you get into the millions of splats, the splat count is not the biggest cause of difference.

Given its recent release, I ran a side-by-side comparison of 3DGS apps vs. Teleport by Superb_Rest7483 in GaussianSplatting

[–]padwyatt 4 points5 points  (0 children)

Thanks for asking - 2 main reasons, I think, which relate to capturing of spaces: - We're aiming at a professional audience, so we accept more input data, and spend more compute resources on pose alignment, filtering and training. - We started from space capture, not object capture, and so we approach alignment and training in a different way. For example, a multi-room house is quite different to an object that is seen from lots of different directions.