"utilitary to access tomography data at esrf"
Project description
tomoscan
This library offers an abstraction to:
- access tomography data from spec acquisitions (EDF) and bliss acquisitions (HDF5)
- read and write volumes from / to HDF5, JP2K, TIFF and EDF
installation
using pypi
To install the latest 'tomoscan' pip package
pip install tomoscan
using gitlab repository
pip install git+https://gitlab.esrf.fr/tomotools/tomoscan.git
documentation
General documentation can be found here: https://tomotools.gitlab-pages.esrf.fr/tomoscan/
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
tomoscan-2.0.6.tar.gz
(122.8 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
tomoscan-2.0.6-py3-none-any.whl
(177.1 kB
view details)
File details
Details for the file tomoscan-2.0.6.tar.gz.
File metadata
- Download URL: tomoscan-2.0.6.tar.gz
- Upload date:
- Size: 122.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
64d2e8a882cda077aa5a219906ce13337a82ae96450db20a034de1f85a88ced5
|
|
| MD5 |
b6b15bc5e11c524d56fc5e4a19a3f0ef
|
|
| BLAKE2b-256 |
cf0bfd91b9f6e73237daf51a4042241a728c47e4836b30ac78d1043b0d2670c6
|
File details
Details for the file tomoscan-2.0.6-py3-none-any.whl.
File metadata
- Download URL: tomoscan-2.0.6-py3-none-any.whl
- Upload date:
- Size: 177.1 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 |
3049e105e685fea22a9df3a01a46fb7fabf97de3819c0ccdc46b420cdab5446b
|
|
| MD5 |
c5ed25dbed1a865d2b7c8445f5f20354
|
|
| BLAKE2b-256 |
d1728de4b444e86b2419422b2ccd07a47da54ad08cc268f2649548089e37196b
|