v0.8.0-beta

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.