openvino/ubuntu18_dev
Intel® Distribution of OpenVINO™ toolkit Docker image for Ubuntu* 18.04 LTS
50K+
2022.2.0
, latest
The Intel® Distribution of OpenVINO™ toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNN), the toolkit extends computer vision (CV) workloads across Intel® hardware, maximizing performance.
You can use DockerHub CI framework for Intel® Distribution of OpenVINO™ toolkit to generate a Dockerfile, build, test, and deploy an image with the Intel® Distribution of OpenVINO™ toolkit. You can reuse available Dockerfiles, add your layer, and customize the image of OpenVINO™ for your needs.
TIP: Install the Deep Learning Workbench to get familiar with most OpenVINO™ components in a web-based graphical environment. With the DL Workbench, you can optimize, fine-tune, analyze, visualize, and compare the performance of deep learning models on various Intel® architecture configurations. Proceed to an easy installation from Docker Hub to get started.
Content: This openvino/ubuntu18_dev image includes: OpenVINO Runtime (IE core, nGraph), plugins, samples, Python dev tools: Model Optimizer, Post-Training Optimization tool, Accuracy Checker, Open Model Zoo tools (Downloader, Converter). OpenCV and Open Model Zoo demos are not included since 2022.1.0 release. TensorFlow* 2 is the default in the image since the 2021.4 release. The old images contain Python TensorFlow* 2. virtual environment in /opt/intel/venv_tf2
folder for Model Optimizer and Model Downloader/Converter, because TensorFlow* 1. (default in the oldest images) and TensorFlow* 2. are not compatible. Please follow this guide to activate and use it.
_src
postfix in a tag include sources of 3d party LGPL/GPL packages in the /thirdparty
folder. Alternatively sources are stored here_tgl
postfix in a tag to natively support inference on 11th Generation Intel® Core™ Processor Family for Internet of Things (IoT) Applications (formerly codenamed Tiger Lake) from OpenVINO Docker container. Since release 2021.4.1 all images natively support the Tiger Lake platform.The following configurations were verified for this docker image:
docker run -it --rm openvino/ubuntu18_dev:latest
docker run -it --rm --device /dev/dxg --volume /usr/lib/wsl:/usr/lib/wsl openvino/ubuntu18_dev:latest
docker run -it --device /dev/dri:/dev/dri --device-cgroup-rule='c 189:* rmw' -v /dev/bus/usb:/dev/bus/usb --rm openvino/ubuntu18_dev:latest
docker run -it --device /dev/dri:/dev/dri --rm openvino/ubuntu18_dev:latest
If your host system is Ubuntu 20, follow the Configuration Guide for the Intel® Graphics Compute Runtime for OpenCL™ on Ubuntu* 20.04.
docker run -it --device-cgroup-rule='c 189:* rmw' -v /dev/bus/usb:/dev/bus/usb --rm openvino/ubuntu18_dev:latest
docker run -it --rm --device=/dev/ion:/dev/ion -v /var/tmp:/var/tmp openvino/ubuntu18_dev:latest
docker run -it --rm openvino/ubuntu18_dev:latest
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LEGAL NOTICE: Your use of this software and any required dependent software (the "Software Package") is subject to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party or open source software included in or with the Software Package, and your use indicates your acceptance of all such terms. Please refer to the "third-party-programs.txt" or other similarly-named text file included with the Software Package for additional details.
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folder for more details.
As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses and potential fees for all software contained within. We will have no indemnity or warranty coverage from suppliers.
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docker pull openvino/ubuntu18_dev