Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Python tools for Venus Image Analysis

Project description

Venus Imaging Analysis Documentation Status Updates

Python tools for Venus Image Analysis

Features (planned)

  • Read FITS arrays (done via
  • (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)


This package was created with Cookiecutter and the forked michaelaye/cookiecutter-pypackage-conda project template.


0.1.0 (2019-02-07)

  • First release on PyPI.

Project details

Release history Release notifications

This version


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for venim, version 0.2.0
Filename, size File type Python version Upload date Hashes
Filename, size venim-0.2.0-py2.py3-none-any.whl (6.1 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size venim-0.2.0.tar.gz (14.5 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page