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!
|
- 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
Nerfstudio uses gsplat as its gaussian rasterization backend, an in-house re-implementation which is designed to be more developer friendly This can be installed with pip install gsplat The associated CUDA code will be compiled the first time gsplat is executed
- Using custom data - nerfstudio
Click on the image down below 👇 for a 1-minute tutorial on how to run nerfstudio with Record3D from start to finish At a high level, you can follow these 3 steps: Record a video and export with the EXR + JPG sequence format
- 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!
- 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
- 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!
|
|
|