Colour matching and SDL simulation utilities for IvoryOS demos.
Project description
Colour match SDL
Getting started
...
Description
...
Visuals
...
Installation
First create a new virtual environment then use:
pip install -r requirements.txt
Usage
Order to go through the scripts
In the scripts folder
- instruments.py
- multiposition_vici_valve.py
- demo_prepare_stock_solution_complete.py
- demo_prepare_stock_solution_with_analyze.py
- demo_data_visualization_matplotlib.py
- demo_data_visualization_plotly.py
- demo_bayesian_optimization.py
- demo_bayesian_optimization_matplotlib.py
- demo_bayesian_optimization_plotly.py
In the colour match folder
In the ivoryOS demo basic sdl folder
- ivoryos_basic_sdl/sdl.py
- Explore the workflow designer then load and run
In the ivoryOS demo basic sdl folder
- ivorysos_colour_match_sdl/sdl.py
- Explore the workflow designer then load and run
Authors and acknowledgment
...
License
...
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
colour_match_sdl-0.1.2.tar.gz
(64.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file colour_match_sdl-0.1.2.tar.gz.
File metadata
- Download URL: colour_match_sdl-0.1.2.tar.gz
- Upload date:
- Size: 64.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
daabf2378dee9c568d894bb0ae834d8864b489eb3f5fcaec252cae964e66708c
|
|
| MD5 |
9d143e4133609459f355587723c60c15
|
|
| BLAKE2b-256 |
2ce25282decf9610050727445baef8ef49b8161cd16903ae9cd6763b092cc7ba
|
File details
Details for the file colour_match_sdl-0.1.2-py3-none-any.whl.
File metadata
- Download URL: colour_match_sdl-0.1.2-py3-none-any.whl
- Upload date:
- Size: 77.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
05ab3c9b0b77fca6974e5b93c407b6c9d8ba06504f681ed896d3f0dfd733e0a8
|
|
| MD5 |
5c5f25e513b19ec46e8e9fec396b642f
|
|
| BLAKE2b-256 |
636664734fa49d356d3b356c50d6df15fa1fe6ff7c1e0abe35ef107c8cd3f86e
|