cosCMOS ( "correct sCMOS", pronounced as cosmos ) is a Python package designed to cancel the fixed-pattern noise of sCMOS cameras.
Project description
coscmos
cosCMOS ( "correct sCMOS", pronounced as cosmos ) is a Python package designed to cancel the fixed-pattern noise of sCMOS cameras.
The noise is estimated through a one-time calibration. The package contains methods to estimate the fixed-pattern noise component from the calibration data and remove it from the images.
Installation
You can install coscmos via pip:
pip install coscmos
To install latest development version:
pip install git+https://github.com/LemonJust/coscmos.git
Contributing
Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.
License
Distributed under the terms of the BSD-3 license, "coscmos" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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 coscmos-0.0.1.tar.gz.
File metadata
- Download URL: coscmos-0.0.1.tar.gz
- Upload date:
- Size: 14.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0b9bc049dfc4770c2615110a67c3beb03067e8b46d14fc03838766e1b5287339
|
|
| MD5 |
649a1a87b0da495cf6c75891cd6bb3d3
|
|
| BLAKE2b-256 |
9c13509ab932b5c99ae889fb59cc0e20c4ca98a450aede6176ed25c24ed6cdce
|
File details
Details for the file coscmos-0.0.1-py3-none-any.whl.
File metadata
- Download URL: coscmos-0.0.1-py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cc35dcc675438019aff8dd85cf014c8718b5829716beb941bf08bc86ef6904a4
|
|
| MD5 |
fcb11a56b78c2baaab273da1ddd62419
|
|
| BLAKE2b-256 |
a7664ca2d4591cb27195b9a8d51aa0c0c572dd0359c76d3c7e5f1c05aee74d53
|