To prevent abusing of root privilege, please use custom user privilege to start.
If not, sometimes the Docker images may be started with the permissions of root or other users. If you modify the mounted files in the container , it will cause permission errors or other errors.
Co-authored-by: Matthew Tancik <matt@lumalabs.ai>
* Remove system-level CUDA install from Linux install instructions
* Remove system-level CUDA from Windows install instructions
* Un-flip CUDA 11.7 / 11.8
* installation.md: Use https instead of ssh for git clone.
Https git clone can be run by anyone directly, without account, whereas ssh git on Github requires having a Github account set up.
* Add .git
---------
Co-authored-by: Matthew Tancik <mattt4001@gmail.com>
Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
* Bump minimum Python version to 3.8
* typing_extensions.Literal -> typing.Literal
* ns-dev-test
* typing_extensions.get_args => typing.get_args
* Format with older version of black
* Bump `black`
* Run black
* add hashmap size and num_levels to instant_ngp_field, issue 1158
* Add Windows installation tips to quickstart
* Include notes for CUDA 11.7
* separate duplicate targets in installation.md
* change installation page to use tabs
* Update Dockerfile, bump CUDA from 11.7.1 to 11.8.0, bump Colmap from 3.7 to 3.8, add user to sudoers list.
* Improve description.
* Fix wrong description and typos.
* Add better description.
* Fix build error of Dockerfile.
* Bump pytorch versions.
---------
Co-authored-by: Nicolas Zunhammer <n.zunhammer@tum.de>
* Update pytorch (and functorch) to 1.13.1
Note that for existing installations, the following is recommended due to complications with older versions of functorch:
- `pip uninstall torch torchvision functorch`
- install the correct pytorch 1.13.1 version for your CUDA installation from https://pytorch.org/get-started/locally/ but add functorch to the command -- for example, Windows CUDA 11.7 would be `pip3 install torch torchvision functorch--extra-index-url https://download.pytorch.org/whl/cu117`
- reinstall nerfstudio e.g. `pip install -e .` from the source directory
* Update installation.md
* Allow 1.13.1, don't force
* pytorch 1.12.1 and 1.13.1
* Update README.md
* Update installation.md
Fix docker not supporting older CUDA architectures.
Co-authored-by: Nicolas Zunhammer <n.zunhammer@tum.de>
Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
* Add the following fixes to documentation:
* Fix trailing backslash in “Use docker image” section
* Replace escaped backslash with double-escaped backslash (see Sphinx issue: https://github.com/sphinx-doc/sphinx/issues/6730)
* Close backtick in `contributing.md`
* Add “run” to instructions for “Render Video”
* Remove unnecessary “,” in “Render Video”
* Correct “before preceding” to “before proceeding”
* Correct “viewpoinrts” to “viewpoints”
* Add missing “.” in “Process data”
* Specify “bash” for code blocks (for consistency with other blocks in the page)
* Fix code block in `viewer_quickstart.rst` (”Copy to clipboard” widget now works)
* Fix some code formatting issues in `export_geometry.md`
* Correct "harmoincs" to "harmonics" in docs.
* Added Dockerfile to build docker image including all dependencies and nerfstudio, added description on how to user docker.
* Move docker description to Installation.md.
* Fix mask_filename indices after splitting train set.
* Rebase DOckerfile to newer image for updated libraries.
* Update docker container documentation.
Co-authored-by: Nicolas Zunhammer <n.zunhammer@tum.de>
* Added Dockerfile to build docker image including all dependencies and nerfstudio, added description on how to user docker.
* Move docker description to Installation.md.
Co-authored-by: Nicolas Zunhammer <n.zunhammer@tum.de>
