"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-2.1.0a11.tar.gz
(125.4 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-2.1.0a11-py3-none-any.whl
(158.8 kB
view details)
File details
Details for the file tomoscan-2.1.0a11.tar.gz.
File metadata
- Download URL: tomoscan-2.1.0a11.tar.gz
- Upload date:
- Size: 125.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
012f0b1c3ff8b2bd2ec9df707f016aa2ad5352ef9eae6761ecf8d58814aebc75
|
|
| MD5 |
c65db5012757868dc31e2d3424e705e0
|
|
| BLAKE2b-256 |
7f86b9dea5d444e941c53f59f919e3cfeee359b72c69f4f09999c4e0b1f51c55
|
File details
Details for the file tomoscan-2.1.0a11-py3-none-any.whl.
File metadata
- Download URL: tomoscan-2.1.0a11-py3-none-any.whl
- Upload date:
- Size: 158.8 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 |
e7dc95db7f56413e1e128ad3433ffcc76f6f614ab82c3911a658cd4128655510
|
|
| MD5 |
752ae8f606561f8e43e58c2a9b1693ab
|
|
| BLAKE2b-256 |
cb988e97bb0a067f05eeef2646e182573dad35ae90be672cda0dd28039120c8a
|