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CodraFT-2.2.0


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توضیحات

Signal and image processing software
ویژگی مقدار
سیستم عامل -
نام فایل CodraFT-2.2.0
نام CodraFT
نسخه کتابخانه 2.2.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Pierre Raybaut
ایمیل نویسنده p.raybaut@codra.fr
آدرس صفحه اصلی https://codra-ingenierie-informatique.github.io/CodraFT/
آدرس اینترنتی https://pypi.org/project/CodraFT/
مجوز BSD 3-Clause License
![CodraFT - CODRA's Filtering Tool](./doc/images/codraft_banner.png) [![license](https://img.shields.io/pypi/l/codraft.svg)](./LICENSE) [![pypi version](https://img.shields.io/pypi/v/codraft.svg)](https://pypi.org/project/codraft/) [![PyPI status](https://img.shields.io/pypi/status/codraft.svg)](https://github.com/CODRA-Ingenierie-Informatique/CodraFT) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/codraft.svg)](https://pypi.python.org/pypi/codraft/) CodraFT is [CODRA](https://codra.net/)'s Filtering Tool. ![CodraFT - CODRA's Filtering Tool](./doc/images/dark_light_modes.png) ---- ## Overview CodraFT is a generic signal and image processing software based on Python scientific libraries (such as NumPy, SciPy or scikit-image) and Qt graphical user interfaces (thanks to [guidata](https://pypi.python.org/pypi/guidata) and [guiqwt](https://pypi.python.org/pypi/guiqwt) libraries). CodraFT stands for "CODRA Filtering Tool". CodraFT is available as a **stand-alone** application (see for example our all-in-one Windows installer) or as an **addon to your Python-Qt application** thanks to advanced automation and embedding features. See [home page](https://codra-ingenierie-informatique.github.io/CodraFT/) and [documentation](https://codraft.readthedocs.io/en/latest/) for more details on the library and [changelog](CHANGELOG.md) for recent history of changes. ### New in CodraFT 2.0 * New data processing and visualization features (see details in [changelog](CHANGELOG.md)) * Fully automated high-level processing features for internal testing purpose, as well as embedding CodraFT in a third-party software * Extensive test suite (unit tests and application tests) with 90% feature coverage ### Credits Copyrights and licensing: * Copyright © 2018-2022 [CEA](http://www.cea.fr)-[CODRA](https://codra.net/), Pierre Raybaut * Licensed under the terms of the BSD 3-Clause or the CeCILL-B License. See ``Licence_CeCILL_V2.1-en.txt``. ---- ## Key features ### Data visualization | Signal | Image | Feature | |:------:|:------:|--------------------------------| | • | • | Screenshots (save, copy) | | • | Z-axis | Lin/log scales | | • | • | Data table editing | | • | • | Statistics on user-defined ROI | | • | • | Markers | | | • | Aspect ratio (1:1, custom) | | | • | 50+ available colormaps | | | • | X/Y raw/averaged profiles | | • | • | User-defined annotations | ![1D-Peak detection](./doc/images/peak_detection.png) ![2D-Peak detection](./doc/images/2dpeak_detection.png) ### Data processing | Signal | Image | Feature | |:------:|:-----:|----------------------------------------------------| | • | • | Multiple ROI support | | • | • | Sum, average, difference, product, ... | | • | • | ROI extraction, Swap X/Y axes | | • | | Semi-automatic multi-peak detection | | | • | Rotation (flip, rotate), resize, ... | | | • | Flat-field correction | | • | | Normalize, derivative, integral | | • | • | Linear calibration | | | • | Thresholding, clipping | | • | • | Gaussian filter, Wiener filter | | • | • | Moving average, moving median | | • | • | FFT, inverse FFT | | • | | Interactive fit: Gauss, Lorenzt, Voigt, polynomial | | • | | Interactive multigaussian fit | | • | • | Computing on custom ROI | | • | | FWHM, FW @ 1/e² | | | • | Centroid (robust method w/r noise) | | | • | Minimum enclosing circle center | | | • | Automatic 2D-peak detection | | | • | Automatic contour extraction (circle/ellipse fit) | ![Contour detection](./doc/images/contour_detection.png) ![Multi-gaussian fit](./doc/images/multi_gaussian_fit.png) ---- ## Installation ### From the installer CodraFT is available as a stand-alone application, which does not require any Python distribution to be installed. Just run the installer and you're good to go! The installer package is available in the [Releases](https://github.com/CODRA-Ingenierie-Informatique/CodraFT/releases) section. ### From the source package ```bash python setup.py install ``` ---- ## Dependencies ### Requirements * Python 3.7+ (reference is Python 3.8) * [PyQt5](https://pypi.python.org/pypi/PyQt5) (Python Qt bindings) * [QtPy](https://pypi.org/project/QtPy/) (abstraction layer for Python-Qt binding libraries) * [guidata](https://pypi.python.org/pypi/guidata) (set of tools for automatic GUI generation) * [guiqwt](https://pypi.python.org/pypi/guiqwt) (set of tools for curve and image plotting based on guidata) * [h5py](https://pypi.org/project/h5py/) (interface to the HDF5 data format) * [NumPy](https://pypi.org/project/numpy/) (operations on multidimensional arrays) * [SciPy](https://pypi.org/project/scipy/) (algorithms for scientific computing) * [scikit-image](https://pypi.org/project/scikit-image/) (algorithms for image processing) * [psutil](https://pypi.org/project/psutil/) (process and system monitoring)


نیازمندی

مقدار نام
>=3.0 h5py
>=1.21 NumPy
>=1.7 SciPy
>=0.18 scikit-image
>=5.5 psutil
>=2.3 guidata
>=4.3 guiqwt
>=1.9 QtPy
- black
- isort
- pylint
- Coverage


زبان مورد نیاز

مقدار نام
<4,>=3.7 Python


نحوه نصب


نصب پکیج whl CodraFT-2.2.0:

    pip install CodraFT-2.2.0.whl


نصب پکیج tar.gz CodraFT-2.2.0:

    pip install CodraFT-2.2.0.tar.gz