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CV-CUDA Release v0.8.0
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@dlesage-nvidia dlesage-nvidia released this 31 May 23:18
· 22 commits to main since this release
v0.8.0-beta
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Release Highlights

CV-CUDA v0.8.0 includes the following changes:

  • New Operator:

    • Introduced fused 'ResizeCropConvertReformat' operator

  • New Features:

    • Improved initialization of Image and ImageBatchVarShape: enabled efficient cache reuse
    • Improved benchmarking utilities: added throughput computation and power/clock monitoring
    • Added tests to Resize, BilateralFilter, CvtColor, Erase, JointBilateralFilter, PillowResize

  • Bug Fixes:

    • Fixed potential crash when using custom streams
    • Switched PairwiseMatcher to use L2-norm as default
    • Fixed documentation of CropFlipNormalizeReformat

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.

Full Changelog: v0.7.0-beta...v0.8.0-beta

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