Python tools for Venus Image Analysis
Project description
Venus Imaging Analysis
Python tools for Venus Image Analysis
Free software: MIT license
Documentation: https://venim.readthedocs.io.
Features (planned)
Read FITS arrays (done via astropy.io.fits)
(Standard image reduction pipeline: bias subtraction, flat field normalization, etc.)
(Other image clean-up: bad pixels, cosmic rays, detector artifacts)
(Generate estimated errors for each pixel)
(Transform detector x,y coordinates into local Lat, Lon)
(Take various gradients of images)
(Filter images in the spatial frequency domain)
(Sub-pixel disk registration)
(Robust stacking of co-registered images)
(Cloud tracking)
FITS image stats scanner (creates CSV overview file)
Credits
This package was created with Cookiecutter and the forked michaelaye/cookiecutter-pypackage-conda project template.
History
0.1.0 (2019-02-07)
First release on PyPI.
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
File details
Details for the file venim-0.2.0.tar.gz.
File metadata
- Download URL: venim-0.2.0.tar.gz
- Upload date:
- Size: 14.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 73fa944287a1eab592842925f2d4a81a5b3dafda828c8da42845f93efb4b10b1 |
|
| MD5 | 96fe2261c44c3952b53561b4c59c0165 |
|
| BLAKE2b-256 | d36f030ff86cb43e88e43ba05960ead418b70d8b9576b8fe2b4b3e3f343365b4 |
File details
Details for the file venim-0.2.0-py2.py3-none-any.whl.
File metadata
- Download URL: venim-0.2.0-py2.py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 28b182e4ee40b45bdf97e8051246a427c0adc9b6e934336290834a4ead41c060 |
|
| MD5 | bd91de66b8fdb048706ca6cf68da1fa3 |
|
| BLAKE2b-256 | bb032a415943dd44d767aede33cf6130e5cd7e905fbd524050f64d2c0ec79462 |
