v0.2.0-beta.1

nvImageCodec v0.2.0-beta.1 is the first public release of the library.

This software is in beta version, which means it is still undergoing testing and development before its official release. It may contain bugs, errors, or incomplete features that could affect its performance and functionality. By using this software, you agree to accept the risks and limitations associated with beta software. We appreciate your feedback and suggestions to help us improve this software, but we do not guarantee that we will implement them or that the software will meet your expectations. Please use this software at your own discretion and responsibility.

Key Features and Enhancements

This nvImageCodec release includes the following key features and enhancements:

• Changed name of library from nvImageCodecs to nvImageCodec

• Added CUDA 12.3 support

• Added support for arm64-sbsa

• Improved decode performance (e.g. nvJpeg2000 tiled)

• Improved testing

• Improved documentation

  • Added simple sample C API usage

  • Added Python sample Jupyter notebooks to documentation

• C API improvements

  • Adjusted cvcuda types adapter

  • Improved error handling and reporting

  • Custom Executor can now be defined per Decoder/Encoder

  • Added possibility to pre-allocate resources

  • Added support for nvjpeg extra_flags option

• Python API improvements

  • Added support for Python 3.12 and deprecated Python 3.7

  • Added support for DL-pack

  • Added support of __array_interface__

  • Added cpu() and cuda() convert methods to Python Image to enable transfers between Host and Device memory

  • Added as_images function

  • Added allow_any_depth to decode parameters

  • Added possibility to specify number of CPU threads to use in decoder/encoder

  • Added precision attribute to Image

  • Added __enter__ and __exit__ to Decoder and Encoder so they can be easily used with python “with” statement

  • Python decode function now can convert to interleaved RGB and 8 bits by default