ChangeLog of Versions

0.15.0: 01/02/2018

  • 150 commits since last revision
  • New tutorials on image inpainting, sensor thickness correction, ...
  • Improve scripts
  • Improve the new calibration GUI (pyFAI-calib2)
  • Use scipy physical constants instead of hard-coded values
  • Improved detector serialization and binning assessement
  • Update documentation (images, better rendering of notebook & tutorials)
  • Converge project with silx and fabio
  • Remove generated rst- and C-files from repository
  • This is the last version supporting python2.7

0.14.2: 14/09/2017

  • Fix seg-fault with manylinux1 wheels, in fastcrc module (thanks Thomas)
  • Fix Qt4-Qt5 compatibility (thanks Vadim)
  • Easier to understand geometry transformation (thanks Jon)
  • Lower memory consumption, better cache management
  • Unified debian packaging working for 6->9
  • New detector: Mythen & CirPad (thanks Fred)
  • Clean up debug code which avoid to use pyFAI-calib2
  • pyFAI-calib2 now expect fabio >= 0.5
  • Fix issue with metadata saving in 1d
  • Fix performance regression with pyopencl >2015.2 (Thanks Andreas)
  • pyFAI saxs and waxs scripts guess now the binning of the detector (thanks Fred).

0.14.1: 25/07/2017

  • Fixes Debian 7 and 8 packages

0.14.0: 20/07/2017

  • Graphical user interface for calibration (pyFAI-calib2)
  • Goniometer calibration tools and multi-geometry enhancements
  • Integration scripts and averaging scripts are now able to normalize the data from monitors found in the header.
  • Propagate metadata information as part of the integrated data
  • Common pre-processing factorization on Python, Cython and OpenCL
  • Test clean up and acceleration (avoid tests on too large images)
  • Many new tutorials http://pyfai.readthedocs.io/en/latest/usage/tutorial/index.html
  • New averaging / integration methods: - Azimuthal median filtering - Azimuthal trimmed mean - sigma-clipping on azimuthal angle - Radial averaging
  • Diffraction image inpainting to fill-up the gaps with plausible values.
  • This release correspond to 572 commits
  • Change of license: now all pyFAI is MIT license.

0.13.0: 01/12/2016

  • Global improvement of tests, packaging, code quality, documentation and project tools

  • Scripts
    • Add support for multiframe formats on pyFAI-average
    • Add support for monitoring correction from header file (on pyFAI-average)
    • Add progressbar in the shell (on pyFAI-average and pyFAI-integrate)
    • Script drawMask_pymca is renamed into pyFAI-drawmask
    • Rework of the drawmask GUI using silx
    • pyFAI-drawmask do not have anymore hard dependency on PyMCA
    • pyFAI-integrate can now be used without qt dependency (–no-gui)
    • Fix the script to support both Python 2 and 3 (pyFAI-calib, pyFAI-benchmark)
    • Fix selection of units on diff-map (the user selection was not propagated)
  • For users
    • More source code in MIT license
    • Update name and specification for cameras
    • Add cameras: Eiger500k, RaspberryPi5M, RaspberryPi8M
    • Fix Xpad S540 flat detector geometry
    • Fix definition of CeO2 calibrant
    • Add mask and flat on multi-geometry
    • Fix solid angle of the multi-geometry
    • Fix geometry processing for custom output space
    • Fix normalization factor and variance
    • Add support for Qt5
    • Add support for Debian 9 packaging
  • For developers
    • Create common preprocessing for distortion correction
    • Create common image preprocessing using Cython (NaN filter, flatfield, dark, polarisation)
    • Refactoring of units module. It allows to register custom units.
    • Worker can now use Writer
    • Worker polarization argument is renamed into polarization_factor
    • Remove the dependency from python-fftw3, use numpy instead
    • Remove QtWebKit dependency
    • Fix un-correction of images using sparse matrix from scipy

0.12.0: 06/06/2016

  • Continuous integration on linux, windows using Python 2.7 and 3.4+

  • Drop support of Python 2.6, 3.2, 3.3 and debian6 packaging

  • New radial output units: Reciprocal spacing squared and log(q) ID02

  • GPU accelerate version of ai.separate (Bragg & amorphous) ID13

  • Quantile filtering in pyFAI-average ID02

  • New graphical application for diffraction imaging ID21

  • Migrate to a common structure with silx (reorganize tests, benchmarks, ...)

  • Extensions (binary sub-modules) have all been moved to ext directory

  • Many improvements multigeometry integrators

  • Compatibility with the copy module (copy.deepcopy) for azimuthal integrator ID02

  • Distortion correction works also for non-contiguous detectors

  • Update documentation and provide advanced tutorials:
    • Introduction to pyFAI using the jupyter notebook
    • detector calibration ID15, BM02
    • Correction of detector distortion, examples of pixel detectors.
    • calibrant calculation ID30
    • error handling ID02, BM29

  • pyFAI-integrate can now be used with or without GUI

  • Many new detectors (ADSC, Pilatus CdTe, Apex II, Pixium):
    • support for non-flat/curved detectors (Aarhus)
    • non-contiguous detectors (WOS Xpad)

  • Include tests and benchmarking tools as part of the library

  • Better testing.

0.11.0: 07/2015

  • All calibrant from NIST are now available, + Nickel, Aluminum, ... with bibliographic references

  • The Cell class helps defining new calibrants.

  • OpenCL Bitonic sort (to be integrated into Bragg/Amorphous separation)

  • Calib is available from the Python interface (procedural API), not only from the shell script.

  • Many new options in calib for reset/assign/delete/validate/validate2/chiplot.
    • reset: set the detector, orthogonal, centered and at 10cm
    • assign: checks the assignment of groups of points to rings
    • delete: remove a group of peaks
    • validate: autocorrelation of images: error on the center
    • validate2: autocorrelation of patterns at 180° apart: error on the center function of chi
    • chiplot: assesses the quality of control points of one/multiple rings.

  • Fix the regression of the initial guess in calib (Thanks Jon Wright)

  • New peak picking algorithm named “watershed” and based on inverse watershed for ridge recognition

  • start factorizing cython regridding engines (work ongoing)

  • Add “–poni” option for pyFAI-calib (Thanks Vadim Dyakin)

  • Improved “guess_binning”, especially for Perkin Elmer flat panel detectors.

  • Support for non planar detectors like Curved Imaging plate developped at Aarhus

  • Support for Multi-geometry experiments (tested)

  • Speed improvement for detector initialization

  • better isotropy in peak picking (add penalization term)

  • enhanced documentation on http://pyfai.readthedocs.org

0.10.3: 03/2015

  • Image segmentation based on inverse watershed (only for recalib, not for calib)
  • Python3 compatibility
  • include testimages into distribution

0.10.2: 11/2014

  • Update documentation
  • Packaging for debian 8

0.10.1: 10/2014

  • Fix issue in peak-picking
  • Improve doc & manpages
  • Compatibility with PyMca5

0.10.0: 10/2014

  • Correct Caglioti’s formula
  • Update tests and OpenCL -> works with Beignet and pocl open source drivers
  • Compatibility with MacOSX and windows

0.9.4: 06/2014

  • include spec of Maxwell GPU
  • fix issues with intel OpenCL icd v4.4
  • introduce shape & max_shape in detectors
  • work on marchingsquares/sorted controurplot for calibration
  • Enforce the use the Qt4Agg for Matplotlib and other GUI stuff.
  • Update shape of detector in case of binning
  • unified distortion class: merge OpenCL & OpenMP implementation #108
  • Benchmarks for distortion
  • Raise the level to warning when inverting the mask
  • set of new ImXpad detectors Related issue #111
  • Fix issue with recalib within MX-calibrate
  • saving detector description in Nexus files issue #110
  • Update some calibrants: gold
  • about to make peak-picking more user-friendly
  • test for bragg separation
  • work on PEP8 compliance
  • Do not re-cythonize: makes debian package generation able to benefit from ccache
  • conversion to SPD (rotation is missing)
  • pixelwise worker
  • correct both LUT & OCL for memory error
  • replace os.linsep with “n” when file file opened in text mode (not binary)
  • rework the Extension part to be explicit instead of “black magic” :)
  • implement Kahan summation in Cython (default still use Doubles: faster)
  • Preprocessing kernel containing all cast to float kernels #120
  • update setup for no-openmp option related to issue #127
  • Add read-out mode for mar345 as “guess_binning” method for detector. Also for MAR and Rayonix #125
  • tool to benchmark HDF5 writing
  • try to be compatible with both PySide and PyQt4 ... the uic stuff is untested and probably buggy #130
  • Deactivate the automatic saturation correction by default. now it is opt-in #131

0.9.3: 02/2014

  • Better control for peak-picking (Contribution from Gero Flucke, Desy)
  • Precise Rayonix detectors description thanks to Michael Blum
  • Start integrating blob-detection algorithm for peak-picking: #70
  • Switch fron OptParse to ArgPrse: #83
  • Provide some calibrant by default: #91
  • Description of Mar345 detector + mask#92
  • Auto-registration of detectors: #97
  • Recalib and check-calib can be called from calib: #99
  • Fake diffraction image from calibrant: #101
  • Implementation of the CSR matrix representation to replace LUT
  • Tight pixel splitting: #43
  • Update documentation

0.9.2: (01/2014)

  • Fix memory leak in Cython part of the look-up table generation
  • Benchmarks with memory profiling

0.9: 10/2013

  • Add detector S140 from ImXpad, Titan from Agilent, Rayonix
  • Fix issues: 61, 62, 68, 76, 81, 82, 85, 86, 87
  • Enhancement in LImA plugins (better structure)
  • IO module with Ascii/EDF/HDF5 writers
  • Switch some GUI to pyQtGraph in addition to Qt
  • Correction for solid-angle formula

0.8: 10/2012

  • Detector object is member of the geometry
  • Binning of the detector, propagation to the spline if needed
  • Detector object know about their masks.
  • Automatic mask for some detectors like Pilatus or XPad
  • Implementation of sub-pixel position correction for Pilatus detectors
  • LUT implementation in 1D & 2D (fully tested) both with OpenMP and with OpenCL
  • Switch from C++/Cython OpenCL framework to PyOpenCL
  • Port opencl code to both Windows 32/64 bits and MacOSX
  • Add polarization corrections
  • Use fast-CRC checksum on x86 using SSE4 (when available) to track array change on GPU buffers
  • Support for flat 7*8 modules Xpad detectors.
  • Benchmark with live graphics (still a memory issue with python2.6)
  • Fat source distribution (python setup.py sdist –with-test-images) for debian
  • Enhanced tests, especially for Saxs and OpenCL
  • Recalibration tool for refining automatically parameters
  • Enhancement of peak picking (much faster, recoded in pure Cython)
  • Easy calibration for pixel detector (reconstruction of inter-module space)
  • Error-bar generation using Poisson law
  • Unified programming interface for all integration methods in 2theta, q or radius unit
  • Graphical interface for azimuthal integration (pyFAI-integrate)
  • Lots of test to prevent non regression
  • Tool for merging images using various method (mean, median) and with outlayer rejection
  • LImA plugin which can perform azimuthal integration live during the acquisition
  • Distortion correction is available alone and as LImA plugin
  • Recalibration can refine the wavelength in addition to 6 other parameters
  • Calibration always done vs calibrant’s ring number, lots of new calibrant are available
  • Selection by hand of single peaks for calibration
  • New detectors: Dexela and Perkin-Elmer flat panel
  • Automatic refinement of multiple images at various geometries (for MX)
  • Many improvements requested by ID11 and ID13

0.7.2: 08/2012

  • Add diff_tomo script
  • Geometry calculation optimized in (parallel) cython

0.7: 07/2012

Implementation of look-up table based integration and OpenCL version of it

0.6: 07/2012

  • OpenCL flavor works well on GPU in double precision with device selection

0.5: 06/2012

  • Include OpenCL version of azimuthal integration (based on histograms)

0.4: 06/2012

  • Global clean up of the code regarding options from command line and better design
  • Correct the orientation of the azimuthal angle chi
  • Rename scripts in pyFAI-calib, pyFAI-saxs and pyFAI-waxs

0.3: 11/2011

  • Azimuthal integration splits pixels like fit2d

0.2: 07/2011

  • Azimuthal integration using cython histogramming is working

0.1: 05/2011

  • Geometry is OK