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.. _v0.5.0-beta:

Beta.3
======

CV-CUDA 0.5.0 is a comprehensive update introducing new security, compliance, and performance enhancements, alongside bug fixes and new features.

Release Highlights
------------------

CV-CUDA v0.5.0 includes significant improvements:

* **New Operators**:
  - FindHomography: Calculates a perspective transform from four pairs of the corresponding points
  - Label: Labels connected regions in an image using 4-way connectivity for foreground and 8-way for background pixels
  - PairwiseMatcher: Matches features computed separately (e.g. via the SIFT operator) in two images using the brute force method

* **New Features**:
  - Implemented Python class for `TensorBatch``, a container type that can hold a list of non-uniformly shaped tensors
  - Added support for RGBD image formats
  - Enhanced documentation

* **Bug Fixes**:
  - Resolved memory leak in NvBlurBoxes
  - Fixed segmentation fault issue in Python with certain imports
  - Corrected typestr format issue in `__cuda_array_interface__`
  - Addressed occasional hanging in OpBoxBlur on RGBA images

Compatibility
-------------

* Continues to support GPU Compute Capability: 7+.x
* Compatible with Ubuntu x86_64: 20.04, 22.04
* CUDA Toolkit: 11.7+ (11.2+ for library build and run)
* GCC: 11.0+ (9.0 and 10.0 for APIs, with pre-built binary and run)
* Python: 3.7, 3.8, 3.10

Known Issues/Limitations
------------------------

* The release notes do not specify new known issues or limitations for this version.

License
-------

CV-CUDA is licensed under the `Apache 2.0 <https://github.com/CVCUDA/CV-CUDA/blob/main/LICENSE.md>`_ license.

Resources
---------

1. `CV-CUDA GitHub <https://github.com/CVCUDA/CV-CUDA>`_
2. `CV-CUDA Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA <https://developer.nvidia.com/blog/increasing-throughput-and-reducing-costs-for-computer-vision-with-cv-cuda/>`_
3. `NVIDIA Announces Microsoft, Tencent, Baidu Adopting CV-CUDA for Computer Vision AI <https://blogs.nvidia.com/blog/2023/03/21/cv-cuda-ai-computer-vision/>`_
4. `CV-CUDA helps Tencent Cloud audio and video PaaS platform achieve full-process GPU acceleration for video enhancement AI <https://developer.nvidia.com/zh-cn/blog/cv-cuda-high-performance-image-processing/>`_

Acknowledgements
----------------

CV-CUDA is developed jointly by NVIDIA and the ByteDance Machine Learning team.