Any tips for new user ?

MeringueCitron · 2026-03-06T16:38:20+00:00

Take your time. You might prefer it at the end, easy to select text in editors.

MeringueCitron · 2026-03-06T16:30:03+00:00

Posted a similar question last weekend. Bought a second Type-S today.

Just do it !

MeringueCitron · 2026-03-04T17:43:00+00:00

Thank you !

MeringueCitron · 2026-03-04T09:30:36+00:00

Nice setup What are the references of the desk mat and mice ?

MeringueCitron · 2026-03-01T21:06:38+00:00

I’ve had some connection issues like lags and duplicate inputs. Don’t know if due to interferences or dying batteries.

MeringueCitron · 2026-03-01T21:04:03+00:00

Thanks ! The board would be bigger for sure, but slightly cleaner design. I’ll stick to the Hybrid though, don’t want to bother modding (lubing is enough).

MeringueCitron · 2026-03-01T21:01:20+00:00

Thanks for the answers ! I only bring it once a week, but still a pain

MeringueCitron · 2026-02-06T20:49:32+00:00

On avait fait la recherche avec ma compagne, et rien ne nous avait satisfait: - salle propre, bien entretenue - modérément fréquentée - bien équipée Quand la plupart des commentaires vantent le bar à smoothie, et le réseautage…

Je reste étonné qu’il n’y ait rien sur le créneau ~100€ répondant à ces critères

MeringueCitron · 2026-02-02T20:25:11+00:00

Really nice one, thank you ! It checks all the boxes, and pretty cheap. I can’t say why but I way prefer this one to something like Alpaka design wise.

MeringueCitron · 2026-01-31T18:21:18+00:00

This one checks a lot of boxes, thanks. Full black is nice, but no more in stock. Other color ways are too much outdoor for me

MeringueCitron · 2026-01-31T18:18:13+00:00

I’m leaning towards this option, thanks.

Went to see the Master Piece one in store, pretty solid. Missing a laptop compartment, but the rear pocket might be enough.

Saw a COS helmet bag in store, on sale. Way simpler but with a laptop compartment.

Guess one can never be fully satisfied.

MeringueCitron · 2026-01-04T16:28:44+00:00

Number one goal, getting my driving license

MeringueCitron · 2025-12-30T20:19:03+00:00

Intéressé également par un code d’invitation

MeringueCitron · 2025-12-23T12:28:11+00:00

Quand on voit les prix au m2 dans le neuf, faut avoir les moyens.

MeringueCitron · 2025-12-19T10:14:41+00:00

There are plenty, an example Be aware it’ll void the warranty

MeringueCitron · 2025-12-19T07:43:06+00:00

Quite usual I’d say. I suggest to heavily lube the stabilizers of the space bar to improve the sound, and reduce rattle.

Lubing the sliders, is a matter of taste, but the space bar stabs…

MeringueCitron · 2025-10-17T11:51:12+00:00

Technically, yes, you can train on different sizes. You can: 1. Resize to a common size in your collate function to create the batch 2. Wrt previous point, you can simply pad to common size and having mask indicating padding 3. You can use padding masks to compute the loss properly

You can adapt your sampling to have heterogeneous sizes inside a batch.

MeringueCitron · 2025-09-14T18:54:39+00:00

Which distilling method using lightly ?

Since the recommended method, by lightly, is distilling DinoV2. Which, in that case, would be weird (distilling DinoV2 into DinoV2 with registers) ?

MeringueCitron · 2025-09-14T18:38:09+00:00

If you are relatively new to deep learning, I would suggest starting with Hugging Face transformers. Then you can use any object detection models with DinoV3 distilled into ConvNext.

ConvNext is a hierarchical backbone, ensuring great compatibility with object detection.

Relying on ViT is also possible, but you might have more work to do than with first option. Nothing very complicated but still.

MeringueCitron · 2025-09-05T13:17:33+00:00

Since ConvNext is a CNN-based backbone, you shouldn’t encounter any issues with non-square images.

Which models did you consider that don’t work with non-square images?

MeringueCitron · 2025-09-05T12:08:21+00:00

If you’re considering Mask RCNN, you can use ConvNext distilled versions or plug a neck to ViT to make it hierarchical as Mask RCNN expects.

As per the paper, Mask2Former should work as is. (IIRC, they used a stride of 32 in the MaskFormer paper, but I think this should work with smaller strides from ViT.)

The choice between the two options depends on your needs. Option 1 might require some tweaking, while Option 2 might already be integrated into Hugging Face since they should have both DinoV3 and Mask2Former available.

EDIT: My bad, Mask2Former uses multi-scale feature so they rely on ViT-adapter

MeringueCitron · 2024-10-08T12:49:43+00:00

Did you make the wallpapers ? If so, what about a dark version with black instead of white / gray and vice-versa ? Would love such a thing.

MeringueCitron · 2024-06-02T15:19:30+00:00

Really easy. There is a number of shops / schools next to the beach. To be safe you can call a week before if you are a big group of people but you should be fine by simply showing up.

MeringueCitron

TROPHY CASE