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-2.3.0b1.tar.gz
(178.1 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-2.3.0b1-py3-none-any.whl
(220.9 kB
view details)
File details
Details for the file tomoscan-2.3.0b1.tar.gz.
File metadata
- Download URL: tomoscan-2.3.0b1.tar.gz
- Upload date:
- Size: 178.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3156ec71626914002089c84cb31320f76e090802b20e100fc237113894f7b504
|
|
| MD5 |
829b889f8c105adf2de9f0acdf75fa1b
|
|
| BLAKE2b-256 |
b7265e5e4cb6d51ad5ab3014e655f0fb39c355d46063efc7c5434efe6a32ee68
|
File details
Details for the file tomoscan-2.3.0b1-py3-none-any.whl.
File metadata
- Download URL: tomoscan-2.3.0b1-py3-none-any.whl
- Upload date:
- Size: 220.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c6d03eda75662e7583f5d39c2dfe3b2b39225bd5fe3b7b294cb690136dd1a23d
|
|
| MD5 |
0d7cd7e6dc42d6f43a782815554a61d8
|
|
| BLAKE2b-256 |
1b4ae6807d88f7401763607891c75c4ea67bacf34985b3c0bd5a2bd56fcbd51d
|