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5 changes: 4 additions & 1 deletion README.md
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- [Quickstart](#quickstart)
- [Learn more](#learn-more)
- [Supported Features](#supported-features)
- [Built On](#built-on)
- [Citation](#citation)
- [Contributors](#contributors)

# About

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### Tensorboard / WandB / Viewer

We support four different methods to track training progress, using the viewer[tensorboard](https://www.tensorflow.org/tensorboard), [Weights and Biases](https://wandb.ai/site), and ,[Comet](https://comet.com/?utm_source=nerf&utm_medium=referral&utm_content=github). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb, comet viewer+wandb, viewer+tensorboard, viewer+comet}` to the training command. Simultaneously utilizing the viewer alongside wandb or tensorboard may cause stuttering issues during evaluation steps. The viewer only works for methods that are fast (ie. nerfacto, instant-ngp), for slower methods like NeRF, use the other loggers.
We support four different methods to track training progress, using the viewer [tensorboard](https://www.tensorflow.org/tensorboard), [Weights and Biases](https://wandb.ai/site), and [Comet](https://comet.com/?utm_source=nerf&utm_medium=referral&utm_content=github). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb, comet viewer+wandb, viewer+tensorboard, viewer+comet}` to the training command. Simultaneously utilizing the viewer alongside wandb or tensorboard may cause stuttering issues during evaluation steps. The viewer only works for methods that are fast (ie. nerfacto, instant-ngp), for slower methods like NeRF, use the other loggers.

# Learn More

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