mirror of https://github.com/silx-kit/pyFAI.git
minor changes in doc
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@ -5,4 +5,6 @@
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correct the orientation of the azimuthal angle chi
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rename scripts in pyFAI-calib, pyFAI-saxs and pyFAI-waxs
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0.5: include OpenCL version of azimuthal integration
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0.6: OpenCL flavour works well on GPU in double precision with device selection
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0.6: OpenCL flavour works well on GPU in double precision with device selection (07/2012)
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0.7: Implementation of look-up table based integration and OpenCL version of it; binning if input images (10/2012)
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0.8: LUT implementation in 1D (fully tested)
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1
MANIFEST
1
MANIFEST
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@ -47,6 +47,7 @@ pyFAI-src/peakPicker.py
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pyFAI-src/refinment2D.py
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pyFAI-src/spline.py
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pyFAI-src/utils.py
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pyFAI-src/ocl_azim_lut.py
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scripts/diff_tomo.py
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scripts/drawMask_pymca
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scripts/integrate_exp.py
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@ -39,7 +39,7 @@ sudo python setup.py install
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As pyFAI makes use of OpenCL to have some calculation done on the graphic card, it is
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likely you will have to setup the position of those libraries by editing the setup.cfg file
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If you are using MS Windows you also download a binary version packaged as executable
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If you are using MS Windows you can also download a binary version packaged as executable
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installation files (Chose the one corresponding to your python version).
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29
TODO.txt
29
TODO.txt
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@ -1,20 +1,11 @@
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The method providing q (in AI) should derive directly from the one providing 2Theta to avoid errors
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TODO list:
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Test 2D regrouping after alignment of images (with reference image from fit2d)
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Saxs cannot use split pixels yet
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dark & flat correction even for calibration (L. Erra ID11): Fixed in version 0.7
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Write tools to create a mask (or recycle code from Armando)
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in AI, have single method to write xrpd2 images
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inlcude Raster Orientation of images
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have geometries as pluggable classes (!!!)
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Before release 0.5:
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- Include dark & flat to histogramming (Both OpenCL and Cython)
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- testing for GPU
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- Fix bug in Masking (Cython only)
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* include Raster Orientation of images (in pyFAI? in fabio?)
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* binning at the Azimuthal Integrator level ?
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* have geometries as pluggable classes (!!!) --> Version 2
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* recalibration tool (planned for v.1.0) using a poni file and a d-spacing file and an image
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* migrate forward version of histogramming on GPU to PyOpenCL (planned for v1.0)
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* implement LUT on 2D caking as well + OpenCL version
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* use a fast checksum to store the signature of buffers/array which are on the GPU.
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* prepare 2 packages one without OpenCL and one with GPU enabled
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* add mask on calibration/recalibration tools
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