v0.11.0-beta
Release Highlights
CV-CUDA v0.11.0 includes critical bug fixes alongside the following changes:
New Features:
Enable NVCV to be built as static library
Improve Python doc generation and structure
Bug Fixes:
Update pybind11 2.10.0 to 2.13.1. Fixes rare race conditions with Python garbage collector, adds compatibility with numpy2
Compatibility and Known Limitations
Pre-existing limitations:
We note a bug in the YUV(420) color conversion API (NVCV_COLOR_RGB2YUV_I420) which incorrectly computes the U and V plane index
This persists through this release and we intend to address this bug in CV-CUDA v0.12.0
For the full list, see main README on CV-CUDA GitHub.
License
CV-CUDA is licensed under the Apache 2.0 license.
Resources
Acknowledgements
CV-CUDA is developed jointly by NVIDIA and the ByteDance Machine Learning team.
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These fixes and features add micro-second-level overhead to Python operator calls. Based on the performance analysis of our Python samples, we expect the production- and pipeline-level impact to be negligible. CUDA kernel and C++ call performance is not affected. We aim to investigate and reduce this overhead further in a future release.