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Update logging docs (#1863)

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README.md
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@ -230,9 +230,9 @@ Each model contains many parameters that can be changed, too many to list here.
ns-train nerfacto --help
```
### Tensorboard / WandB
### Tensorboard / WandB / Viewer
We support three different methods to track training progress, using the viewer, [tensorboard](https://www.tensorflow.org/tensorboard), and [Weights and Biases](https://wandb.ai/site). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb}` to the training command. Note that only one may be used at a time. Additionally the viewer only works for methods that are fast (ie. nerfacto, instant-ngp), for slower methods like NeRF, use the other loggers.
We support three different methods to track training progress, using the viewer, [tensorboard](https://www.tensorflow.org/tensorboard), and [Weights and Biases](https://wandb.ai/site). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb, viewer+wandb, viewer+tensorboard}` 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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docs/quickstart/first_nerf.md
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@ -98,9 +98,9 @@ ns-train nerfacto <nerfacto optional args> nerfstudio-data --help
Each script will have some other minor quirks (like the training script dataparser subcommand needing to come after the model subcommand), read up on them [here](../reference/cli/index.md).
## Tensorboard / WandB
## Tensorboard / WandB / Viewer
We support three different methods to track training progress, using the viewer, [tensorboard](https://www.tensorflow.org/tensorboard), and [Weights and Biases](https://wandb.ai/site). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb}` to the training command. Note that only one may be used at a time. Additionally the viewer only works for methods that are fast (ie. nerfacto, instant-ngp), for slower methods like NeRF, use the other loggers.
We support three different methods to track training progress, using the viewer, [tensorboard](https://www.tensorflow.org/tensorboard), and [Weights and Biases](https://wandb.ai/site). You can specify which visualizer to use by appending `--vis {viewer, tensorboard, wandb, viewer+wandb, viewer+tensorboard}` 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.
## Evaluating Runs