NVIDIA nvImageCodec

The nvImageCodec is a library of accelerated codecs with unified interface. It is designed as a framework for extension modules which delivers codec plugins.

This nvImageCodec release includes the following key features:

• Unified API for decoding and encoding images

• Batch processing, with variable shape and heterogeneous formats images

• Codec prioritization with automatic fallback

• Builtin parsers for image format detection: jpeg, jpeg2000, tiff, bmp, png, pnm, webp

• Python bindings

• Zero-copy interfaces to CV-CUDA, PyTorch and cuPy

• End-end accelerated sample applications for common image transcoding

Currently there are following native codec extensions:

• nvjpeg_ext

  • Hardware jpeg decoder

  • CUDA jpeg decoder

  • CUDA lossless jpeg decoder

  • CUDA jpeg encoder

• nvjpeg2k_ext

  • CUDA jpeg 2000 decoder (including High Throughput jpeg2000)

  • CUDA jpeg 2000 encoder

• nvbmp_ext

  • CPU bmp reader

  • CPU bmp writer

• nvpnm_ext

  • CPU pnm (ppm, pbm, pgm) writer

Additionally as a fallback there are following 3rd party codec extensions:

• libturbo-jpeg_ext

  • CPU jpeg decoder

• libtiff_ext

  • CPU tiff decoder

• opencv_ext

  • CPU jpeg decoder

  • CPU jpeg2k_decoder

  • CPU png decoder

  • CPU bmp decoder

  • CPU pnm decoder

  • CPU tiff decoder

  • CPU webp decoder