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Releases: openvinotoolkit/openvino

2022.1.0.dev20220316

16 Mar 16:11
@esaltyko esaltyko
2022.1.0.dev20220316
0b08b9a
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2022.1.0.dev20220316 Pre-release
Pre-release

OpenVINO™ toolkit pre-release definition:

  • It is introduced to get early feedback from the community.
  • The scope and functionality of the pre-release version is subject to change in the future.
  • Using the pre-release in production is strongly discouraged.

You can find OpenVINO™ toolkit 2022.1.0.dev20220316 pre-release version here:

Release documentation is available here: https://docs.openvino.ai/nightly/

* - sha256 sums for archives

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d3ff2c050fa33df093547dad7124e39428772b05ac4d76c0686a7511580e056e  l_openvino_toolkit_rhel8_dev_2022.1.0_dev20220316.tgz

cb5be734f7cf2ea9a48ead91313f19edc513be982a5a90bf967d334ac5700d2b  openvino_opencv_windows.tgz
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b7cb06a207cbf513173125a223d6fd1ade2da52dc6a86fafc9d8c76467447a34  openvino_opencv_ubuntu18.tgz
8cfc8d9e39b2e9b91d4b6faa1bbe561d21a9524b748faf1bd0c9285093fb8363  openvino_opencv_osx.tgz

NOTE: This version is pre-release software and has not undergone full release validation or qualification. No support is offered on pre-release software and APIs/behavior are subject to change. It should NOT be incorporated into any production software/solution and instead should be used only for early testing and integration while awaiting a final release version of this software.

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2022.1.0.dev20220302

04 Mar 16:02
@moslex moslex
2022.1.0.dev20220302
7cd3c8e
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2022.1.0.dev20220302 Pre-release
Pre-release

OpenVINO™ toolkit pre-release definition:

  • It is introduced to get early feedback from the community.
  • The scope and functionality of the pre-release version is subject to change in the future.
  • Using the pre-release in production is strongly discouraged.

You can find OpenVINO™ toolkit 2022.1.0.dev20220302 pre-release version here:

Release documentation is available here: https://docs.openvino.ai/nightly/

* - sha256 sums for archives

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4c070ea22816d852a9335249a27562b2d85bf54fd8358a674d6f895c022136bc  openvino_ubuntu20_dev_2022.1.0-6935-7cd3c8e86e9.tgz
43ecc39cc3bff027e758ca8951e26efe976d90669e01d22f65f059537793b1ca  openvino_ubuntu18_dev_2022.1.0-6935-7cd3c8e86e9.tgz
7f750e07c7a5e5e6ab7d1fd1aa113b059a39793e094da8aa5a984c29f7060dc7  openvino_rhel8_dev_2022.1.0-6935-7cd3c8e86e9.tgz
f0d16b7c7d7e3c41715903a3515138ad5ed9b15d998bcccc23ce7124d668b6e4  openvino_osx_dev_2022.1.0-6935-7cd3c8e86e9.tgz

ba26dfa5d81eb31c42ec8b8a55ba5e7c6dc225ef05aef8c3dd82a814138fa4bd  openvino_opencv_windows.tgz
29c5ff6e9a3a840642aee76308cff37df48fcafa197fe5acd8bd6cfa11197e7f  openvino_opencv_ubuntu20.tgz
4b0d4aecf9cf0957380bd84a907e033294835d176933b164c47bc95f8862b0b3  openvino_opencv_ubuntu18.tgz
4d9337347f30eb5e865ec5059485c766bfc8bdfcc5329bedd0959fb106efdbe1  openvino_opencv_osx.tgz

NOTE: This version is pre-release software and has not undergone full release validation or qualification. No support is offered on pre-release software and APIs/behavior are subject to change. It should NOT be incorporated into any production software/solution and instead should be used only for early testing and integration while awaiting a final release version of this software.

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2022.1.0.dev20220215

17 Feb 17:09
@moslex moslex
2022.1.0.dev20220215
121d59a
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2022.1.0.dev20220215 Pre-release
Pre-release

OpenVINO™ toolkit pre-release definition:

  • It is introduced to get early feedback from the community.
  • The scope and functionality of the pre-release version is subject to change in the future.
  • Using the pre-release in production is strongly discouraged.

You can find OpenVINO™ toolkit 2022.1.0.dev20220215 pre-release version here:

* - sha256 sums for archives

76d21c7f1a6abcf3c3e6b3bfaab7e1dbe11d45de035bf906188ef926221d15c4  l_openvino_toolkit_rhel8_dev_2022.1.0.dev20220215.tgz
6bc9bf7b3a417798d6649b68b8054fcf70be7ddf39f3cf27301dbdedd2f38c1d  w_openvino_toolkit_windows_dev_2022.1.0.dev20220215.zip
47eaaeb8e73329f5d245df21493a4ac04a27287c6124348fc395f61f7dea9d93  m_openvino_toolkit_osx_dev_2022.1.0.dev20220215.tgz
8e66c9f7edc1d619c702a08f448fd4773667478dfabed3d34b43f3d94b1c1722  l_openvino_toolkit_ubuntu20_dev_2022.1.0.dev20220215.tgz
a45e1d387a04b306ebb115f3f1480091f62bebb7fb75d70f9baf3af03f659d03  l_openvino_toolkit_ubuntu18_dev_2022.1.0.dev20220215.tgz
d0c9051e1ac7db174cfd357f79129a1c8ec7879140532a7ac7267cfdf5227d13  openvino_opencv_windows.tgz
dac828f564221f4b0f785168556c6e61b5a9210143ad86fbe01b8172d5db862a  openvino_opencv_osx.tgz
587b27a429583510f6d74633eaf358dea2d4d6e963ff8e2c22a6aad8a946ddbc  openvino_opencv_ubuntu20.tgz
169efcdc21317177e5d8d747c4cbbd50f92ef7fce93999d7207b8e48918d2b81  openvino_opencv_ubuntu18.tgz

NOTE: This version is pre-release software and has not undergone full release validation or qualification. No support is offered on pre-release software and APIs/behavior are subject to change. It should NOT be incorporated into any production software/solution and instead should be used only for early testing and integration while awaiting a final release version of this software.

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2022.1.0.dev20220131

01 Feb 17:00
@moslex moslex
2022.1.0.dev20220131
d5b74b0
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2022.1.0.dev20220131 Pre-release
Pre-release

OpenVINO™ toolkit pre-release definition:

  • It is introduced to get early feedback from the community.
  • The scope and functionality of the pre-release version is subject to change in the future.
  • Using the pre-release in production is strongly discouraged.

You can find OpenVINO™ toolkit 2022.1.0.dev20220131 pre-release version here:

* - sha256 sums for archives

569762a88bb914236f772a0d545520f4b8704e73594097ab2d5ae724e81a1673  l_openvino_toolkit_dev_rhel8_p_2022.1.0.dev20220131.tgz
c9b3c5471af91d2e8ddaade78b96f90ee38f89ddf224f4601e45d170854a4f7e  l_openvino_toolkit_dev_ubuntu18_p_2022.1.0.dev20220131.tgz
15802037618d784ac9d0646be6d4c3be1d2538819cdf7d992b04ce62e0458bcd  l_openvino_toolkit_dev_ubuntu20_p_2022.1.0.dev20220131.tgz
6b10269e60c208f81d1dfafd01756762fe95b1ebd3c0e35b6ed028b9d6a0ae0a  m_openvino_toolkit_dev_p_2022.1.0.dev20220131.tgz
0bc02727d952f3ac47e4528da4b87dba22cbc070775cf055b3485fd870ae18da  w_openvino_toolkit_dev_p_2022.1.0.dev20220131.zip
fe2cd7aba2046c8eed25150cdc10cffce807f0e4231f7774f97e8488a57c2300  opencv_osx.tgz
3b0eaab3209a1e91085b71d5ce12a51747c07f63ec2a6cf471bb9f8e016eab99  opencv_ubuntu18_rhel8.tgz
1d73d11d7d651c8959c012800fa9ae4a6f9f2b550622030fe41b05892a2327cc  opencv_ubuntu20.tgz
7d04b788d139f1ab198d80e10aac974089bf2a2c734e7cf2c3c70036bded2058  opencv_windows.tgz

NOTE: This version is pre-release software and has not undergone full release validation or qualification. No support is offered on pre-release software and APIs/behavior are subject to change. It should NOT be incorporated into any production software/solution and instead should be used only for early testing and integration while awaiting a final release version of this software.

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2021.4.2 LTS

16 Nov 19:10
@asuhov asuhov
2021.4.2
6c44627
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2021.4.2 LTS

This 2021.4.2 LTS release provides functional bug fixes, and minor capability changes for the previous 2021.4.1 Long-Term Support (LTS) release, enabling developers to deploy applications powered by Intel® Distribution of OpenVINO™ toolkit with confidence. To learn more about long-term support and maintenance, go to the Long Term Support Policy.

You can find OpenVINO™ toolkit 2021.4.2 release here:

Release Notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-2021-4-lts-relnotes.html

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2021.4.1 LTS

09 Sep 21:22
@asuhov asuhov
2021.4.1
c2bfbf2
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2021.4.1 LTS

This 2021.4.1 LTS release provides functional bug fixes, and minor capability changes for the previous 2021.4 Long-Term Support (LTS) release, enabling developers to deploy applications powered by Intel® Distribution of OpenVINO™ toolkit with confidence. To learn more about long-term support and maintenance, go to the Long Term Support Policy.

You can find OpenVINO™ toolkit 2021.4.1 release here:

Release Notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-2021-4-lts-relnotes.html

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2021.4 LTS

29 Jun 18:41
@asuhov asuhov
2021.4
5cee8bb
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2021.4 LTS

What's New

  • This new 2021.4 Long-Term Support (LTS) Release provides bug fixes, longer-term maintenance and support with a focus on stability and compatibility enabling developers to deploy applications powered by Intel® Distribution of OpenVINO™ toolkit with confidence. A new LTS version is released every year and supported for two years. For those developers that prefer the very latest features and leading performance, standard releases will continue to be made available 3-4 times a year. Read more about the long-term support and maintenance, go to the Long Term Support Policy.
  • New Jupyter Notebooks, demos and support for additional public models to make development easier:
    • Ready-to-run Jupyter Notebooks with tutorials for converting TensorFlow and PyTorch models, image classification, segmentation, depth estimation, post-training quantization and more.
    • Audio Noise Suppression & Time Series Forecasting demos
    • Public Models: RCAN and IseeBetter (image super-resolution), Attention OCR (image text prediction), Tacotron 2 (text-to-speech) and ModNet (portrait/image matting)
  • Time-to-first-inference latency performance enhancements: Initialization has been optimized on CPU and integrated GPU (iGPU), significantly improving performance at inferencing startup. Setting up inferencing always involves additional initialization time as the network is loaded and configured on the device, especially on GPUs due to their architecture. This setup time has been reduced significantly for many networks by doing more initialization work in parallel among other optimizations.
  • Preview of OpenVINO ™ integration with TensorFlow: Although not a part of the 2021.4 LTS release, a new open source component called the OpenVINO™ integration with TensorFlow is available as a public preview. This component is designed for TensorFlow developers newly exploring OpenVINO™ toolkit to try it with minimal code changes, maximizing TensorFlow API compatibility. For highest performance, lowest memory footprint and complete hardware control, adopting native OpenVINO APIs continues to be the recommended approach.

You can find OpenVINO™ toolkit 2021.4 release here:

Release Notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-2021-4-lts-relnotes.html

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2020.3.2 LTS

16 Apr 18:51
@asuhov asuhov
2020.3.2
0b3773b
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2020.3.2 LTS

This release provides bug fixes for the previous 2020.3 Long-Term Support (LTS) release, a new release type that provides longer-term maintenance and support with a focus on stability and compatibility. Read more about the support details: Long Term Support Release

You can find OpenVINO™ toolkit 2020.3.2 release here:

Release notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-2020-3-lts-relnotes.html

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2021.3

23 Mar 19:22
@asuhov asuhov
2021.3
18e83a2
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2021.3

What's New

  • Upgrade to the latest version for new capabilities and performance improvements.
  • Introduces a preview of Conditional Compilation (available in open-source distribution) which enables a significant reduction to the binary footprint of the runtime components (Inference Engine linked into applications) for particular models.
  • Introducing support for the 3rd Gen Intel® Xeon® Scalable platform (code-named Ice Lake), which delivers advanced performance, security, efficiency, and built-in AI acceleration to handle unique workloads and more powerful AI.
  • New pre-trained models and support for public models to streamline development:
    • Pre-trained Models: machine-translation, person-vehicle-bike-detection, text-recognition and text-to-speech.
    • Public Models: aclnet-int8 (sound_classification), deblurgan-v2 (image_processing), fastseg-small and fastseg-large (semantic segmentation) and more.
  • Developer tools now available as Python wheel packages for Windows*, Linux*, and macOS* for easy package installation and upgrades (pip install openvino-dev)

You can find OpenVINO™ toolkit 2021.3 release here:

Release Notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html

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2021.2

15 Dec 19:00
@asuhov asuhov
2021.2
4795391
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2021.2

What's New

  • Integrates the Deep Learning Workbench with the Intel® DevCloud for the Edge as a Beta release. Graphically analyze models using the Deep Learning Workbench on the Intel® DevCloud for the Edge (instead of a local machine only) to compare, visualize and fine-tune a solution against multiple remote hardware configurations.
  • Introduces support for Red Hat Enterprise Linux (RHEL) 8.2.
  • Introduces per-channel quantization support in the Model Optimizer for models quantized with TensorFlow Quantization-Aware Training containing per-channel quantization for weights, which improves performance by model compression and latency reduction.
  • Pre-trained models and support for public models to streamline development:
    • Public Models: Yolov4 (for object detection), AISpeech (for speech recognition), and DeepLabv3 (for semantic segmentation)
    • Pre-trained Models: Human Pose Estimation (update), Formula Recognition Polynomial Handwritten (new), Machine Translation (update), Common Sign Language Recognition (New), and Text-to-Speech (new)
  • New OpenVINO™ Security Add-on, which controls access to model(s) through secure packaging and execution. Based on KVM Virtual machines and Docker* containers and compatible with the OpenVINO™ Model Server, this new add-on enables packaging for flexible deployment and controlled model access.
  • PyPI project moved from openvino-python to openvino, and 2021.1 version to be removed in the default view. The specific version is still available for users depending on this exact version by using openvino-python==2021.1

You can find OpenVINO™ toolkit 2021.2 release here:

Release Notes: https://software.intel.com/content/www/us/en/develop/articles/openvino-relnotes.html

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