Skip to main content

An ITK module to read and write High-throughput JPEG2000 (HTJ2K) images.

Project description

HTJ2K is a a multiscale image format supporting lossless and lossy compression. This module is based on the OpenJPH accelerated codec implementation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

itk_ioopenjph-1.0.0-cp311-cp311-win_amd64.whl (386.0 kB view hashes)

Uploaded CPython 3.11 Windows x86-64

itk_ioopenjph-1.0.0-cp311-cp311-manylinux_2_28_x86_64.whl (618.9 kB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

itk_ioopenjph-1.0.0-cp311-cp311-manylinux_2_28_aarch64.whl (531.0 kB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.28+ ARM64

itk_ioopenjph-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.9 kB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

itk_ioopenjph-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl (596.5 kB view hashes)

Uploaded CPython 3.11 macOS 10.9+ x86-64

itk_ioopenjph-1.0.0-cp310-cp310-win_amd64.whl (386.0 kB view hashes)

Uploaded CPython 3.10 Windows x86-64

itk_ioopenjph-1.0.0-cp310-cp310-manylinux_2_28_x86_64.whl (618.9 kB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

itk_ioopenjph-1.0.0-cp310-cp310-manylinux_2_28_aarch64.whl (531.0 kB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.28+ ARM64

itk_ioopenjph-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.9 kB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

itk_ioopenjph-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (596.5 kB view hashes)

Uploaded CPython 3.10 macOS 10.9+ x86-64

itk_ioopenjph-1.0.0-cp39-cp39-win_amd64.whl (386.4 kB view hashes)

Uploaded CPython 3.9 Windows x86-64

itk_ioopenjph-1.0.0-cp39-cp39-manylinux_2_28_x86_64.whl (619.0 kB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

itk_ioopenjph-1.0.0-cp39-cp39-manylinux_2_28_aarch64.whl (531.0 kB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.28+ ARM64

itk_ioopenjph-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (659.0 kB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

itk_ioopenjph-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (596.5 kB view hashes)

Uploaded CPython 3.9 macOS 10.9+ x86-64

itk_ioopenjph-1.0.0-cp38-cp38-win_amd64.whl (411.1 kB view hashes)

Uploaded CPython 3.8 Windows x86-64

itk_ioopenjph-1.0.0-cp38-cp38-manylinux_2_28_x86_64.whl (619.4 kB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

itk_ioopenjph-1.0.0-cp38-cp38-manylinux_2_28_aarch64.whl (530.3 kB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.28+ ARM64

itk_ioopenjph-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (659.5 kB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

itk_ioopenjph-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (596.8 kB view hashes)

Uploaded CPython 3.8 macOS 10.9+ x86-64

itk_ioopenjph-1.0.0-cp37-cp37m-win_amd64.whl (411.0 kB view hashes)

Uploaded CPython 3.7m Windows x86-64

itk_ioopenjph-1.0.0-cp37-cp37m-manylinux_2_28_x86_64.whl (618.4 kB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.28+ x86-64

itk_ioopenjph-1.0.0-cp37-cp37m-manylinux_2_28_aarch64.whl (530.2 kB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.28+ ARM64

itk_ioopenjph-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.9 kB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

itk_ioopenjph-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (596.5 kB view hashes)

Uploaded CPython 3.7m macOS 10.9+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page