rapidsai/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
This project dramatically speeds up the processing of large, complex images across various scientific fields. It takes in large multidimensional image files, such as those from microscopes or remote sensing, and quickly performs common image processing tasks on them using powerful graphics cards. Scientists, researchers, and engineers working with biomedical, geospatial, or material science imagery will find this useful for accelerating their analysis.
450 stars. Used by 2 other packages. Available on PyPI.
Use this if you routinely work with very large, high-resolution scientific images and need to process them much faster than traditional methods allow.
Not ideal if you primarily work with standard, smaller image files or don't have access to GPU hardware.
Stars
450
Forks
75
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Dependencies
3
Reverse dependents
2
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