Software library for X-Ray data analysis
Project description
freeart is a tomographic image reconstruction library using Algebraic Reconstruction Technique (ART). It is able to deal with absorption and emission sinograms. Freeart core is written in C++ using template classes to have simple or double precision. A python interface is provided to access the core functionalities. A set of utils such as configuration files, interpreter to run reconstruction from configuration files are provided in python.
Installation
To install freeart, run:
pip install freeart
Then you can use freeart module and submodules from python.
Documentation
Documentation of latest release is available at http://www.edna-site.org/pub/doc/freeart/latest/index.html
GUI
tomogui (https://pypi.org/project/tomogui/ and https://gitlab.esrf.fr/tomoTools/tomogui) is providing a graphical user interface to run freeart reconstruction.
| Authors: |
|
|---|
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.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size freeart-3.3.0-cp27-cp27m-macosx_10_6_intel.whl (751.7 kB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size freeart-3.3.0-cp27-cp27m-win_amd64.whl (458.2 kB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size freeart-3.3.0-cp35-cp35m-win_amd64.whl (437.7 kB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size freeart-3.3.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (755.0 kB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size freeart-3.3.0-cp36-cp36m-win_amd64.whl (436.3 kB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size freeart-3.3.0-cp37-cp37m-win_amd64.whl (467.3 kB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size freeart-3.3.0.tar.gz (702.8 kB) | File type Source | Python version None | Upload date | Hashes View |
Hashes for freeart-3.3.0-cp27-cp27m-macosx_10_6_intel.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f458a108a84cff0bf5da81c9af889c85674c403dae3e8be2aa954f7f8727c4de |
|
| MD5 | fbf1887f22e6f19dd8f9316f0f165e8c |
|
| BLAKE2-256 | a1d80de2cf9f7f29842de5e45377f9420a51c1847488ec51e16029e0745eae6b |
Hashes for freeart-3.3.0-cp27-cp27m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4c23df5717a47ff536f1b5fadeb7a52f9f345f662125ae32face3e68fce316f3 |
|
| MD5 | 800ff58d854e624eec982102f4c1a1c5 |
|
| BLAKE2-256 | a7a70a8745e2e4831ac9b8fc626eb0eec89b654f747f0f0754de520f445283b5 |
Hashes for freeart-3.3.0-cp35-cp35m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d69c67eaebd83fb164105b476e4b588d9929a6a0e9ba042c90fcf4a6df0f633a |
|
| MD5 | 4400bb0848e98ae13832e32bccf76db9 |
|
| BLAKE2-256 | 5ae8246051613635e3b83fa6615bd40283bca9430713954e7a344e2b0521a8c3 |
Hashes for freeart-3.3.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 237bd7fa79f631649dc5808954a9498d0d847cb40c0a79e28bf2b74dd847e88e |
|
| MD5 | cdf3a784438ae38224e3680ea7242c8d |
|
| BLAKE2-256 | c1b350e80847dd69c35140c8c0daccc2a5db85dc979f21d3f0e6debfd5b890d1 |
Hashes for freeart-3.3.0-cp36-cp36m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8a46736b2709c361db54c8ffeb4072f33d37f386d9540f0a07219b9b047bdc3f |
|
| MD5 | b1a6fde6f32c66fbffe8636b6141f232 |
|
| BLAKE2-256 | a6c526dc9fafb780db01140489ff5d687b88f65fe85d86a3caec9c43273b8719 |
Hashes for freeart-3.3.0-cp37-cp37m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 057d6858803413fdee3cdf30b6ef56554e7416444e999d35bd1a05f64149ab63 |
|
| MD5 | 9cefe9085f9d7ea7155f14be37361b40 |
|
| BLAKE2-256 | 8ece0ee958d5fe95edf4a42158d6af3984b7c26b58548ca76d6a4b2e2790fdc5 |
