CV-CUDA Release v0.7.0
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CV-CUDA v0.7.0 Release Notes
CV-CUDA 0.7.0 introduces performance and support enhancements, along with bug fixes and new features.
Full Changelog: v0.6.0-beta...v0.7.0-beta
Release Highlights
CV-CUDA v0.7.0 includes the following improvements:
New Features:
- Optimized Python bindings: near-zero overhead compared to C++ calls
- Added masking option to Label operator: conditional island removal
- Added IGX Orin support (with dGPU, Ampere or Ada RTX6000)
- Added support of signed 32bits output datatype for Label operator
Removed Operator:
- Removed Find Contours operator for troubleshooting of major limitations
Bug Fixes:
- Fixed constraint on installation directory for Python tests: tar test packages can now be used from any directory
Compatibility and Known Limitations
See main README on CV-CUDA GitHub.
License
CV-CUDA is licensed under the Apache 2.0 license.
Resources
- CV-CUDA GitHub
- CV-CUDA Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA
- NVIDIA Announces Microsoft, Tencent, Baidu Adopting CV-CUDA for Computer Vision AI
- CV-CUDA helps Tencent Cloud audio and video PaaS platform achieve full-process GPU acceleration for video enhancement AI
Acknowledgements
CV-CUDA is developed jointly by NVIDIA and the ByteDance Machine Learning team.