安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- nerfstudio
Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs The library supports a more interpretable implementation of NeRFs by modularizing each component
- Installation - nerfstudio
Nerfstudio on Windows is less tested and more fragile, due to way more moving parts outside of Nerfstudio’s control The instructions also tend to break over time as updates to different Windows packages happen Installing Nerfstudio on Linux instead is recommended if you have the option
- Training your first model - nerfstudio
Nerfstudio allows customization of training and eval configs from the CLI in a powerful way, but there are some things to understand The most demonstrative and helpful example of the CLI structure is the difference in output between the following commands:
- Splatfacto - nerfstudio
To avoid confusion with the original paper, we refer to nerfstudio’s implementation as “Splatfacto”, which will drift away from the original as more features are added Just as Nerfacto is a blend of various different methods, Splatfacto will be a blend of different gaussian splatting methodologies
- Using the viewer - nerfstudio
The nerfstudio web-based viewer makes it easy to view training in real-time, and to create content videos from your trained models 🌟! Connecting to the viewer# The nerfstudio viewer is launched automatically with each ns-train training run! It can also be run separately with ns-viewer To access a viewer, we need to enter the server’s
- Using existing data - nerfstudio
Nerfstudio comes with built-in support for a number of datasets, which can be downloaded with the ns-download-data command Each of the built-in datasets comes ready to use with various Nerfstudio methods (e g the recommended default Nerfacto), allowing you to get started in the blink of an eye
- Using custom data - nerfstudio
Use the Nerfstudio Blender Add-on to set the scale of the NeRF scene and create the camera path Export a point cloud representation of the NeRF Import the point cloud representation in Blender and enable the Nerfstudio Blender Add-on Create a reference object such as a cube which may be 1x1x1 meter
- Instant-NGP - nerfstudio
Nerfstudio uses the tinycudann framework to utilize the fully-fused neural networks The speedups at each level are multiplicative With all their improvements, Instant-NGP reaches speedups of 1000x, which enable training NeRF scenes in a matter of seconds!
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