Originally published at: https://developer.nvidia.com/blog/cucim-rapid-n-dimensional-image-processing-and-i-o-on-gpus/
Overview cuCIM is a new RAPIDS library for accelerated n-dimensional image processing and image I/O. The project is now publicly available under a permissive license (Apache 2.0) and welcomes community contributions. In this post, we will cover the overall motivation behind the library and some initial benchmark results. In a complementary post on the Quansight…
Is there an implementation example existing for Jetson Nano?
Thx+regards
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Hi @amirtousa , I am sorry for the late reply.
cuCIM’s image loading part (CuImage class and read_region() method) is implemented in C++ and we don’t support wheel library for Jetson Nano (though Conda package supports cuCIM for arm64 SBSA Files :: Anaconda.org (arm64 SBSA includes Jetson boards such as Jetson Xavior/Orin).
If you are able to install CuPy package (Add arm64 binary for Jetson Nano · Issue #3196 · cupy/cupy · GitHub and CuPy: Arm Wheels ) in your Jetson Nano, you can install and use cuCIM’s image processing feature.
Please see [FEA] Windows compatibility · Issue #454 · rapidsai/cucim · GitHub
Thank you!