Skip to main content

LLNL DIII-D diagnostic image tools

Project description

# PyTangtv

PyTangtv is a set of tools used to work with data from LLNL Tangential viewing camera diagnostics from the DIII-D experiment.

Picker - program to select features from the loaded image and output the pixel coordinates. If a calibration board module is provided then the program can output x,y,z coordinates as well.

Pymask - program to generate an image mask by freehand drawing over an image. Drawing is kept in a seperate layer and then written out as a tiff on exit. This is used by our tomographic reconstruction code to indicate regions of the camera image that are to be excluded from the fit. Used to exclude things such as reflections or other artifacts from the fit.

PyAlign - program to do simple, rigid, image plane transformations of the loaded image. A background image can be loaded and then the two layered to facilitate aligning the two.

PyMorph - used to determine the foreground->background control points to do polynomial spatial warping of the foreground to match the background. Used to fix spherical aberations in an image.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

PyTangtv-1.0.4-py3-none-any.whl (40.4 kB view details)

Uploaded Python 3

File details

Details for the file PyTangtv-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: PyTangtv-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 40.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for PyTangtv-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 abf0abac1db7564af3aea664754a04cff52f046fe5e3aead36fff00b4249164e
MD5 b83bfb09ea41a13e59ecfaf7b02e434b
BLAKE2b-256 5e58511c3d7781daa80671234dac5a751befa5f26b28881ba26bd423a61eb1dd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page