Process and analyze large images quickly using a GPU-accelerated library designed for various scientific fields.
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Free · no card · unsubscribe anytimecuCIM - RAPIDS GPU-accelerated image processing library
cucim has 463 stars on GitHub. It has been forked 84 times. cucim is written mainly in Jupyter Notebook. It has been in active development since 2021. cucim is available under the Apache-2.0 license. Its main topics are computer-vision, cuda, digital-pathology, gpu.
cuCIM - RAPIDS GPU-accelerated image processing library
cucim is an open-source project. It is released under the Apache-2.0 license.
Yes. cucim is free and open source — you can use, modify and self-host it.
cucim is available under the Apache-2.0 license.
cucim is written mainly in Jupyter Notebook.
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