rapidsai/cucim
GPU-accelerated computer vision and image processing library for multidimensional biomedical and scientific images.
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cuCIM is an open-source library providing GPU-accelerated image processing and computer vision primitives for multidimensional TIFF files. It targets biomedical, geospatial, and scientific imaging use cases with support for specialized whole-slide formats like Aperio SVS and Philips TIFF. The library offers a Pythonic API compatible with OpenSlide and is part of the NVIDIA RAPIDS ecosystem for accelerated computing.
Frequently asked
- What is rapidsai/cucim?
- GPU-accelerated computer vision and image processing library for multidimensional biomedical and scientific images.
- Is cucim open source?
- Yes — rapidsai/cucim is open source, released under the Apache-2.0 license.
- What language is cucim written in?
- rapidsai/cucim is primarily written in Jupyter Notebook.
- How popular is cucim?
- rapidsai/cucim has 462 stars on GitHub.
- Where can I find cucim?
- rapidsai/cucim is on GitHub at https://github.com/rapidsai/cucim.