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-1.1.7.tar.gz (16.3 kB view details)

Uploaded Source

Built Distribution

rawls-1.1.7-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file rawls-1.1.7.tar.gz.

File metadata

  • Download URL: rawls-1.1.7.tar.gz
  • Upload date:
  • Size: 16.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 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-1.1.7.tar.gz
Algorithm Hash digest
SHA256 0220921011aa62ad4da5bc8163a59f0c23e991598ea5a6bdfeaf954dec70b32e
MD5 f95b06af8226256c08104670b42083fb
BLAKE2b-256 0b3bd7df5ef070a24cd93e6555eafca9b2b5dd0cbb4e4ad7eeba071c1bd748b0

See more details on using hashes here.

File details

Details for the file rawls-1.1.7-py3-none-any.whl.

File metadata

  • Download URL: rawls-1.1.7-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 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-1.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 2697450a94807ab6224fcdc0c94293b3ff08007c7eb120154227a02e84ba997c
MD5 34e45c75bbac55a2efadbac332f32294
BLAKE2b-256 63d4f2ee120e18edb6b78d042f202808664402874b50f6a95505371b6049e655

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