Utility 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-2.3.1.tar.gz
(180.6 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-2.3.1-py3-none-any.whl
(224.2 kB
view details)
File details
Details for the file tomoscan-2.3.1.tar.gz.
File metadata
- Download URL: tomoscan-2.3.1.tar.gz
- Upload date:
- Size: 180.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d75777266dbf183401de13293e467ed2d29aac975fe734634f6d0f336b3e276e
|
|
| MD5 |
e850ad36563842915bd9390cff8ddd71
|
|
| BLAKE2b-256 |
1baa998cfeb239e35975b39213c21c16f5e4b2bb47a5f53ccff02245ba3c7c48
|
File details
Details for the file tomoscan-2.3.1-py3-none-any.whl.
File metadata
- Download URL: tomoscan-2.3.1-py3-none-any.whl
- Upload date:
- Size: 224.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0a7a1c275d30d6b68af5cf7f97846d9db5f4bca5e388a3198de83dfacd18b915
|
|
| MD5 |
3a47b72f84f33ee047c0952009136dde
|
|
| BLAKE2b-256 |
33affe5c6581db0bdd56f46b2b2bac728bcdb4477a6daca8f58311b851cf0160
|