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