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
.rawlsfile date - RawlsStats : Enables to merge
.rawlsimage 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
1 maintainer
Metadata
1 maintainer
Release files for rawls 1.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rawls-1.1.7.tar.gz | 16.3 kB | Without provenance | Details for rawls-1.1.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rawls-1.1.7-py3-none-any.whl | Python 3 | none | any | Details for rawls-1.1.7-py3-none-any.whl |
Total release size: 36.0 kB
Release files / rawls-1.1.7.tar.gz
| Download URL | rawls-1.1.7.tar.gz |
|---|---|
| Size | 16.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0220921011aa62ad4da5bc8163a59f0c23e991598ea5a6bdfeaf954dec70b32e
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BLAKE2b-256 checksum How to use checksums |
0b3bd7df5ef070a24cd93e6555eafca9b2b5dd0cbb4e4ad7eeba071c1bd748b0
|
| Upload date | |
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Uploaded using Trusted Publishing? What is 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
|
Release files / rawls-1.1.7-py3-none-any.whl
| Download URL | rawls-1.1.7-py3-none-any.whl |
|---|---|
| Size | 19.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2697450a94807ab6224fcdc0c94293b3ff08007c7eb120154227a02e84ba997c
|
|
BLAKE2b-256 checksum How to use checksums |
63d4f2ee120e18edb6b78d042f202808664402874b50f6a95505371b6049e655
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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
|
Security for rawls 1.1.7
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