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Fix Typo #14

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Fix Typo #14

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5db29c9
Update README.md
FarukhS52 Oct 28, 2023
ea988de
Update README.md
FarukhS52 Oct 28, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -40,7 +40,7 @@ import rembg
result = rembg.remove(result)
result.show()
```
3. Run Wonder3d to produce multiview-consistent normal maps and color images. Then you can check the results in the folder `./outputs`. (we use rembg to remove backgrounds of the results, but the segmemtations are not always perfect.)
3. Run Wonder3d to produce multiview-consistent normal maps and color images. Then you can check the results in the folder `./outputs`. (we use rembg to remove backgrounds of the results, but the segmentations are not always perfect.)
```bash
accelerate launch --config_file 1gpu.yaml test_mvdiffusion_seq.py \
--config mvdiffusion-joint-ortho-6views.yaml
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4 changes: 2 additions & 2 deletions instant-nsr-pl/README.md
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Expand Up @@ -27,10 +27,10 @@ This repository contains a concise and extensible implementation of NeRF and Neu

## Requirements
**Note:**
- To utilize multiresolution hash encoding or fully fused networks provided by tiny-cuda-nn, you should have least an RTX 2080Ti, see [https://github.com/NVlabs/tiny-cuda-nn#requirements](https://github.com/NVlabs/tiny-cuda-nn#requirements) for more details.
- To utilize multiresolution hash encoding or fully fused networks provided by tiny-cuda-nn, you should have at least an RTX 2080Ti, see [https://github.com/NVlabs/tiny-cuda-nn#requirements](https://github.com/NVlabs/tiny-cuda-nn#requirements) for more details.
- Multi-GPU training is currently not supported on Windows (see [#4](https://github.com/bennyguo/instant-nsr-pl/issues/4)).
### Environments
- Install PyTorch>=1.10 [here](https://pytorch.org/get-started/locally/) based the package management tool you used and your cuda version (older PyTorch versions may work but have not been tested)
- Install PyTorch>=1.10 [here](https://pytorch.org/get-started/locally/) based on the package management tool you used and your cuda version (older PyTorch versions may work but have not been tested)
- Install tiny-cuda-nn PyTorch extension: `pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch`
- `pip install -r requirements.txt`

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