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Datsville - Printable Version

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Pages: 1 2


RE: Datsville rev528 - Merlijn Wissink - 2018-01-15

(2018-01-15, 18:28)Roland Melkert Wrote:
(2018-01-15, 18:23)Merlijn Wissink Wrote: I've got about 6fps on my GTX1070, but according to Task Manger (ok, probably the best monitoring tool Tongue) gpu usage is 'only' about 50%. Any reason for that?

Probably because it's hitting a bottleneck due to the insane amount of triangles.

But what would be the bottleneck then? cpu usage sits at about 10%, ram usage is about 700MB (16GB available) and vram usage is about 200MB (of the 8GB available).


RE: Datsville - Michael Horvath - 2020-02-02

I created a higher resolution render and uploaded it here:

https://mjhorvath.github.io/Datsville/docs/high-resolution-render/high-resolution-render.html

https://mjhorvath.github.io/Datsville/docs/interactive-town-map/interactive-town-map.html

The image is 16384x8192px split into 128 smaller images.

[ed]

The render is currently hard to use in a phone, so I recommend a tablet or desktop.


RE: Datsville - Michael Horvath - 2021-05-25

I have a faster computer now, and was navigating through Datsville using LDView's "Walk" mode, and have to say the experience is really, really cool! You should try it!

Smile

I get about 2.5 FPS currently. I should be upgrading my video card sometime this year and will hopefully at least double that amount.

[ed]

In the meantime, if someone who has a powerful video card right now could record themselves exploring the town at "eye level", and upload the subsequent recording to YouTube, I would greatly appreciate it! Thanks!


RE: Datsville - Jonathan N - 2023-03-14

I made a render of datsville_rev006.124_inlined_y_boxed_n.ldr in 4K in Blender Cycles using a WIP importer. Blender memory usage in task manager was around 4-5 GB. Importing into Blender took about 12s. LDView and LeoCAD take a lot longer than that to load the model. I'm not sure how much longer since I didn't let it finish loading after about 30s. This is the largest LDraw model I've found so far, so it's helpful for benchmarking.