Comments (4)
I use 3rd party libs for computationally intensive operations - numpy
and for the DFT, pyfftw
is used if it is available.
If you know 3rd party libs that can do the job faster, let me know. I consider imreg_dft
a high-level project that should not contain any low-level code since it doesn't do anything really special under the hood.
However, some of the algorithms (esp. the tiling one) can be improved substantially in terms of performance.
from imreg_dft.
Thanks for your comment. I'll try to switch in a GPU implementation of the FFT functions and benchmark it.
from imreg_dft.
Thanks for your comment. I'll try to switch in a GPU implementation of the FFT functions and benchmark it.
hi, have you guys implemented a GPU version of this algorithm? It will be very helpful.
from imreg_dft.
Any update on this? GPU implementation would be great.
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Related Issues (20)
- mode is ignored in transform_img HOT 3
- Investigate image registration on complex arrays HOT 1
- Memory issue HOT 1
- Array dtype conversion HOT 2
- Discrepancy in command line utility (ird) and python function (similarity)
- transform_img clips image, doesn't have option to specify output size HOT 2
- Error defining mask in utils.py HOT 1
- Multichannel Images HOT 3
- Using tiles in image registration HOT 1
- How to convert padded border of transformed image to black HOT 1
- Image is shifted out of frame
- I think this should say anticlockwise instead of clockwise
- sample PNGs for LargeTemplate [tiling] example do not open with Pillow 7.2
- installation
- Pixel values are changed after registration.
- how to uninstall imreg_dft
- [Need Help] What's that FILE OBJECT?
- [Help needed] Different shape images
- np.bool deprecated in utils.get_borderval( )
- Please update your release that the np.bool change reflects in the download HOT 1
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