amd-nerfacc
NerfAcc is a PyTorch Nerf acceleration toolbox for both training and inference. It focus on efficient sampling in the volumetric rendering pipeline of radiance fields, which is universal and plug-and-play for most of the NeRFs. With minimal modifications to the existing codebases, Nerfacc provides significant speedups in training various recent NeRF papers. And it is pure Python interface with flexible APIs!
Information
- Homepage: https://github.com/rocm/nerfacc
- License: Apache 2.0
Installation
pip install amd-nerfacc
Release files for amd-nerfacc 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| amd_nerfacc-0.0.1.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amd_nerfacc-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.8 kB
Release files / amd_nerfacc-0.0.1.tar.gz
| Download URL | amd_nerfacc-0.0.1.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
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Release files / amd_nerfacc-0.0.1-py3-none-any.whl
| Download URL | amd_nerfacc-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.12.3
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