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-2.4.0.tar.gz
(178.2 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-2.4.0-py3-none-any.whl
(223.0 kB
view details)
File details
Details for the file tomoscan-2.4.0.tar.gz.
File metadata
- Download URL: tomoscan-2.4.0.tar.gz
- Upload date:
- Size: 178.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c0ec00b88884828f5e39ad1d58e758fc91847a44bd0cacfbf42307532dd6c29f
|
|
| MD5 |
608c3c9236e5dc3f35ecd58ffb7f03da
|
|
| BLAKE2b-256 |
2426152345aa9019ea074dcd757c73439a005993f5ef72e8bd01ac49c6bcad68
|
File details
Details for the file tomoscan-2.4.0-py3-none-any.whl.
File metadata
- Download URL: tomoscan-2.4.0-py3-none-any.whl
- Upload date:
- Size: 223.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
10636068983f35ebc287ea1e7b80a1ba0f749ae9932c803f3601f447a30d0acf
|
|
| MD5 |
a9c19e3981445804bece9ff6863db86c
|
|
| BLAKE2b-256 |
0c235d7be94045d1386b05c4bbfdb773bffb6bee6d63df96cec42ca38a214571
|