v0.6.0-beta
CV-CUDA 0.6.0 is a comprehensive update introducing new packaging and documentation enhancements, along with bug fixes and new features.
Release Highlights
CV-CUDA v0.6.0 includes significant improvements:
New Operator:
HQResize: Advanced resize operator supporting 2D and 3D data, tensors, tensor batches, and varshape image batches (2D only). Supports nearest neighbor, linear, cubic, Gaussian and Lanczos interpolation, with optional antialiasing when down-sampling.
New Features:
Standalone Python Wheels, including tooling and documentation to generate them. Prebuilt binaries for selected configurations.
Homogenized package naming
Improved documentation of hardware/software compatibility, build and test tutorials
Added Python Operator benchmarking application
Samples updated to new codec libraries, PyNvVideoCodec and NvImageCodec
Support of rank 2 tensors in MedianBlur
Additional tests for various operators
Bug Fixes:
Fix name clashes with NVTX
Fix workspace memory allocation of complex filters
Fix memory fault in MinAreaRect
Compatibility and Known Limitations
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.