pyMRAW
======
Photron MRAW File Reader.
-------------------------
`pyMRAW` is an open-source package, enabling the efficient use of the Photron MRAW video files in Python workflows.
It's main feature is the use of memory-mapped (`np.memmap`) arrays to create memory maps to locally stored raw video files and avoid loading large amounts of data into RAM.
.. warning::
To take advantage of pyMRAW's memory-mapping functionality, make sure to save MRAW files either in 8-bit or 16-bit formats, corresponding to standard data types `uint8` and `uint16`! Using pyMRAW to read 12-bit MRAW files is possible, but requires loading the complete image data into RAM to produce standard Numpy arrays.
To load `.mraw` - `.cihx` files, simply use the `pymraw.load_video` function::
import pyMRAW
images, info = pyMRAW.load_video('data/beam.cihx')
For more info, please refer to the `Showcase.ipynb` notebook.
We developed this module while working on this publication:
J. Javh, J. Slavič and M. Boltežar: The Subpixel Resolution of Optical-Flow-Based Modal Analysis,
Mechanical Systems and Signal Processing, Vol. 88, p. 89–99, 2017
Our recent research effort can be found here: http://lab.fs.uni-lj.si/ladisk/?what=incfl&flnm=research_filtered.php&keyword=optical%20methods
If you find our research useful, consider to cite us.
|pytest|
.. |pytest| image:: https://github.com/ladisk/pyMRAW/actions/workflows/python-package.yml/badge.svg
:target: https://github.com/ladisk/pyMRAW/actions
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"description": "pyMRAW\n======\n\nPhotron MRAW File Reader.\n-------------------------\n\n`pyMRAW` is an open-source package, enabling the efficient use of the Photron MRAW video files in Python workflows.\n\nIt's main feature is the use of memory-mapped (`np.memmap`) arrays to create memory maps to locally stored raw video files and avoid loading large amounts of data into RAM. \n\n.. warning::\n To take advantage of pyMRAW's memory-mapping functionality, make sure to save MRAW files either in 8-bit or 16-bit formats, corresponding to standard data types `uint8` and `uint16`! Using pyMRAW to read 12-bit MRAW files is possible, but requires loading the complete image data into RAM to produce standard Numpy arrays.\n\nTo load `.mraw` - `.cihx` files, simply use the `pymraw.load_video` function::\n\n import pyMRAW\n images, info = pyMRAW.load_video('data/beam.cihx')\n\nFor more info, please refer to the `Showcase.ipynb` notebook.\n\nWe developed this module while working on this publication:\nJ. Javh, J. Slavi\u010d and M. Bolte\u017ear: The Subpixel Resolution of Optical-Flow-Based Modal Analysis,\nMechanical Systems and Signal Processing, Vol. 88, p. 89\u201399, 2017\n\nOur recent research effort can be found here: http://lab.fs.uni-lj.si/ladisk/?what=incfl&flnm=research_filtered.php&keyword=optical%20methods\n\nIf you find our research useful, consider to cite us.\n\n\n|pytest|\n\n.. |pytest| image:: https://github.com/ladisk/pyMRAW/actions/workflows/python-package.yml/badge.svg\n :target: https://github.com/ladisk/pyMRAW/actions\n\n\n\n",
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