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## Preprocessing the dataset
As we stated above, the greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve…
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Problem:
I'm working with CatBoost and I need to extract information about the trees generated by a trained CatBoost model in the form of a dataframe, similar to how it can be done with XGBoost using…
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# Vision Transformer Adapter for Dense Predictions
Info.
- ICLR 2023 spotlight
- https://github.com/czczup/ViT-Adapter
- https://arxiv.org/abs/2205.08534
### Summary
- plain ViT
- whi…
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### Describe the bug
If I load my pre trained model and set of samples and call predict() multiple times I get different predicted classes. Here are some sample results. I am using a juypter noteb…
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@aphearin @sschmidt23 Sam Schmidt and the PZ group have developed a notebook to compute errors on magnitudes for protoDC2. See [here](https://github.com/LSSTDESC/pz_pdf/pull/4 ). We could adopt this …
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I think this issue may exist in the Rift as well, but it is much less noticeable. When using the Oculus Quest or Quest 2 and an Oculus Link cable, the image jitters when there is head motion. It can b…
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
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When I try to Generate 3D inpainted mesh, after rendering it just says "error" and it says IndexError: tuple index out of range. I'm not that good with code so maybe there's a simple solution to this …
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## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…
-
## Preprocessing the dataset
The greyscale assigned to each pixel within an image has a value range of 0-255. We will want to flatten (smoosh… scale…) this range to 0-1. To achieve this flattening, we…