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Currently, we visualizer depth maps as point clouds, each point representing a sample on the depth image.
For 4k images (3840x2160) that's 8.4mio points which means we have to do a lot of vertex & …
Wumpf updated
8 hours ago
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Hi I tried the latest torchvision 19.0 with pytorch2.4. I found that the encode_jpeg func had a problem when processing 4k image. For example, I have a 4K image tensor, which size is (3, 2160, 3840), …
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### Checklist
- [X] I can reproduce the bug with the latest version given [here](https://github.com/FossifyOrg/Gallery/releases/latest).
- [X] I made sure that there are **no existing issues** - [ope…
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The new ChromeCast has 4k output. I was wondering if they have 4K images in background and if we can get them
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Hi,
can you add a 4K version for the wallpapers as well?
Thanks
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I feel like I haven't accurately get the face box and landmarks。Does the project have a **limited maximum resolution** ?Looking forward to your reply sir
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**Let us choose the algorithm used to upscale/downscale the image from the game window.**
Some algorithm that could be great:
- Bilinear
- Bicubic
- Nearest neighbor
- Area (great for downscali…
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I love the idea of this add-on :)
Doing a quick test in a scene, it reports I could save 1377 MB from mostly converting images to Greyscale, however, all my EXRs are already single-channel. Not sur…
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### Preconditions
- [X] Requirements fulfilled
- [X] The bug is not a known issue
- [X] The bug has not been solved in the past or the solution that was provided in the past does not work on my s…
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Thanks for your awesome repo. I notice with default 4k config, the generated image has lots of artifacts. Any comments?
```shell
python3 text2image_xl.py \
--pretrained_model_name_or_path stabili…