Skip to main content

RAW Light Simulation file reader/converter package

Project description

RAW Light Simulation reader/converter package

Description

Global illumination methods based on stochastic techniques provide photo-realistic images. These methods are generally based on path tracing theory in which stochastic paths are generated from the camera point of view through each pixel toward the 3D scene.

rawls is a Python package developed during a thesis project. It enables to manage .rawls image file extension. The image extension .rawls is used to store all samples values of images obtained during rendering of synthesis images. This output extension is available in a custom version of pbrt-v3 details.

Installation

pip install rawls

How to use ?

To use, simply do:

from rawls.rawls import Rawls
path = 'images/example_1.rawls'
rawls_img = Rawls.load(path)
rawls_img.save('output.png')

Classes

This project contains usefull classes.

  • Rawls : Manage .rawls file date
  • RawlsStats : Enables to merge .rawls image files and extract statistics

All these classes will be enhanced during development of the package. Documentation is available here.

How to contribute

Please refer to the guidelines file if you want to contribute!

Contributors

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rawls-1.1.0.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

rawls-1.1.0-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file rawls-1.1.0.tar.gz.

File metadata

  • Download URL: rawls-1.1.0.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for rawls-1.1.0.tar.gz
Algorithm Hash digest
SHA256 f01d93d0cf9f99c04e15ce92ab5744b79f8d94f5c701f8082fcbca0410b81d44
MD5 ec024e3a61dfd173542874e7964ef261
BLAKE2b-256 72e975b789eed1ed7d9891058c5143356c44ba3ed90f04d68fa4313266df6a6f

See more details on using hashes here.

File details

Details for the file rawls-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: rawls-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 19.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for rawls-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 485684aeebcdab03ff5d84f9e1c0742da98a39c811e0912c2a58aca6b5c806ea
MD5 1286cd240649611b658f6f0cd8945d09
BLAKE2b-256 b319018af47e5746bcb1700d45200f6bdd64b537df746e75f2ebe936a7fac88b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page