CV-CUDA Release v0.9.0

[dlesage-nvidia]

CV-CUDA v0.9.0 includes the following changes:

• New Features:

  • Improved Resize performance (up to 4x for u8 inputs, up to 3x for RGB8)

  • Improved performance of cubic interpolation, eg in Rotate, WarpAffine and WarpPerspective (up to 2x faster)

  • Added optional scaling to ResizeCropConvertReformat fused operator

  • Improved structure of Python documentation and optimized its generation (>5min to <30s) by removing the Exhale index

  • Added 64bit stride support to various operators

    • limited to 32bit strides to avoid performance regressions: AdaptiveThreshold, AdvCvtColor, AverageBlur, BilateralFilter, BrightnessContrast, ColorTwist, BoxBlur, CenterCrop, ConvertTo, CopyMakeBorder, CustomCrop, GaussianNoise, Gaussian, Flip, HistogramEq, JointBilateralFilter, Laplacian, Morphology, Normalize, RandomResizedCrop, Reformat, Remap, Resize, Rotate, SIFT, WarpAffine, WarpPerspective

• Bug Fixes:

  • Added exception handling on CApi in Python: now forward C/C++exceptions to Python
  • Fixed coordinate rounding bug in Resize operator with nearest neighbor interpolation

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: v0.8.0-beta...v0.9.0-beta