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About openvino-feedstock

Feedstock license: BSD-3-Clause

About openvino

Home: https://github.com/openvinotoolkit/openvino

Package license: Apache-2.0

Summary: Intel® Distribution of OpenVINO™ Toolkit

Development: https://github.com/openvinotoolkit/openvino

Documentation: https://docs.openvino.ai/latest/index.html

Intel® Distribution of OpenVINO™ toolkit is an open-source toolkit for optimizing and deploying AI inference. It can be used to develop applications and solutions based on deep learning tasks, such as: emulation of human vision, automatic speech recognition, natural language processing, recommendation systems, etc. It provides high-performance and rich deployment options, from edge to cloud

About libopenvino

Package license:

Summary: OpenVINO Core Runtime library

About libopenvino-auto-batch-plugin

Package license:

Summary: OpenVINO Auto Batch plugin

About libopenvino-auto-plugin

Package license:

Summary: OpenVINO Auto plugin

About libopenvino-hetero-plugin

Package license:

Summary: OpenVINO Hetero plugin

About libopenvino-intel-cpu-plugin

Package license:

Summary: OpenVINO Intel® CPU plugin

About libopenvino-intel-gpu-plugin

Package license:

Summary: OpenVINO Intel® GPU plugin

About libopenvino-intel-npu-plugin

Package license:

Summary: OpenVINO Intel® NPU plugin

About libopenvino-ir-frontend

Package license:

Summary: OpenVINO IR Frontend

About libopenvino-onnx-frontend

Package license:

Summary: OpenVINO ONNX Frontend

About libopenvino-paddle-frontend

Package license:

Summary: OpenVINO Paddle Frontend

About libopenvino-pytorch-frontend

Package license:

Summary: OpenVINO Pytorch Frontend

About libopenvino-tensorflow-frontend

Package license:

Summary: OpenVINO TensorFlow Frontend

About libopenvino-tensorflow-lite-frontend

Package license:

Summary: OpenVINO TensorFlow Lite Frontend

About libopenvino-dev

Package license:

Summary: OpenVINO C++ / C Runtime & Development files

About libopenvino-python

Package license:

Summary: OpenVINO Python API

About openvino

Package license:

Summary: OpenVINO C++ / C / Python Runtimes & Development files

About libopenvino-arm-cpu-plugin

Package license:

Summary: OpenVINO ARM® CPU plugin

Current build status

Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
osx_64 variant
osx_arm64 variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.9.____cpython variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
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Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing openvino

Installing openvino from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, libopenvino, libopenvino-arm-cpu-plugin, libopenvino-auto-batch-plugin, libopenvino-auto-plugin, libopenvino-dev, libopenvino-hetero-plugin, libopenvino-intel-cpu-plugin, libopenvino-intel-gpu-plugin, libopenvino-intel-npu-plugin, libopenvino-ir-frontend, libopenvino-onnx-frontend, libopenvino-paddle-frontend, libopenvino-python, libopenvino-pytorch-frontend, libopenvino-tensorflow-frontend, libopenvino-tensorflow-lite-frontend, openvino can be installed with conda:

conda install libopenvino libopenvino-arm-cpu-plugin libopenvino-auto-batch-plugin libopenvino-auto-plugin libopenvino-dev libopenvino-hetero-plugin libopenvino-intel-cpu-plugin libopenvino-intel-gpu-plugin libopenvino-intel-npu-plugin libopenvino-ir-frontend libopenvino-onnx-frontend libopenvino-paddle-frontend libopenvino-python libopenvino-pytorch-frontend libopenvino-tensorflow-frontend libopenvino-tensorflow-lite-frontend openvino

or with mamba:

mamba install libopenvino libopenvino-arm-cpu-plugin libopenvino-auto-batch-plugin libopenvino-auto-plugin libopenvino-dev libopenvino-hetero-plugin libopenvino-intel-cpu-plugin libopenvino-intel-gpu-plugin libopenvino-intel-npu-plugin libopenvino-ir-frontend libopenvino-onnx-frontend libopenvino-paddle-frontend libopenvino-python libopenvino-pytorch-frontend libopenvino-tensorflow-frontend libopenvino-tensorflow-lite-frontend openvino

It is possible to list all of the versions of libopenvino available on your platform with conda:

conda search libopenvino --channel conda-forge

or with mamba:

mamba search libopenvino --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search libopenvino --channel conda-forge

# List packages depending on `libopenvino`:
mamba repoquery whoneeds libopenvino --channel conda-forge

# List dependencies of `libopenvino`:
mamba repoquery depends libopenvino --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating openvino-feedstock

If you would like to improve the openvino recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/openvino-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers