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Add support for insta360 data (#781)
* Add support for insta360 data * Update docs * Revert unrelated changes * remove cropping on normal videos * Address comments
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@@ -6,14 +6,14 @@ We provide a command line interface for training your own NeRFs (no coding neces
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Here are the popular commands that we offer. If you've cloned the repo, you can also look at the [pyproject.toml file](https://github.com/nerfstudio-project/nerfstudio/blob/main/pyproject.toml) at the `[project.scripts]` section for details.
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| Command | Description | Filename |
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| ---------------- | ------------------------------------------------ | ---------------------------------- |
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| ns-install-cli | Install tab completion for all scripts | scripts/completions/install.py |
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| ns-process-data | Generate a dataset from your own photos or video | scripts/process_data.py |
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| ns-download-data | Download existing captures | scripts/downloads/download_data.py |
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| ns-train | Generate a NeRF | scripts/train.py |
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| ns-eval | Run evaluation metrics for your Model | scripts/eval.py |
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| ns-render | Render out a video of your NeRF | scripts/render.py |
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| Command | Description | Filename |
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| ---------------- | -------------------------------------- | ---------------------------------- |
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| ns-install-cli | Install tab completion for all scripts | scripts/completions/install.py |
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| ns-process-data | Generate a dataset from your own data | scripts/process_data.py |
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| ns-download-data | Download existing captures | scripts/downloads/download_data.py |
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| ns-train | Generate a NeRF | scripts/train.py |
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| ns-eval | Run evaluation metrics for your Model | scripts/eval.py |
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| ns-render | Render out a video of your NeRF | scripts/render.py |
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```{toctree}
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:maxdepth: 1
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