CV-CUDA Release v0.7.0

[milesp-nvidia]

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

1. CV-CUDA GitHub
2. CV-CUDA Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA
3. NVIDIA Announces Microsoft, Tencent, Baidu Adopting CV-CUDA for Computer Vision AI
4. 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.

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This discussion was created from the release CV-CUDA Release v0.7.0.