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Releases: openvinotoolkit/openvino

2022.2.0.dev20220829

31 Aug 17:50
@artanokhov artanokhov
2022.2.0.dev20220829
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2022.2.0.dev20220829 Pre-release
Pre-release

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.

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 2022.2.0.dev20220829 pre-release version here:

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

* - sha256 sums for archives

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2022.1.1

11 Aug 10:56
@ilya-lavrenov ilya-lavrenov
2022.1.1
39aba80
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2022.1.1

Minor updates and bug fixes for specific use cases and scenarios.

This release provides functional bug fixes and capability updates from the previous release 2022.1 that enable developers

Note: This is a standard release intended for developers that prefer the very latest version of OpenVINO. Standard releases will continue to be made available three to four times a year. Long Term Support (LTS) releases are also available. A new LTS version is released every year and is supported for 2 years (1 year of bug fixes, and 2 years for security patches). Visit Intel® Distribution of OpenVINO™ toolkit Long-Term Support (LTS) Policy to get details on the latest LTS releases.

Component updates:

  • OpenVINO runtime:
    • Added a way to unload TBB libraries upon OpenVINO library unloading - use ov::force_tbb_terminate option to ov::Core
    • Added a way to unload OpenVINO frontend libraries for cases when IR / ONNX / PDPD files are read in runtime. Users should call ov::shutdown once they finish to work with OpenVINO library to free all the resources.

You can find the OpenVINO™ 2022.1.1 release here:

  • Download archives* with OpenVINO™ Runtime for C/C++Download archives* with OpenVINO™ Runtime for C/C++
  • Github Repository

Limitations of this release:

  • Windows OS, Linux and MacOS
  • Intel® Movidius™ Myriad™ X plugin is not included
  • The Intel® version of OpenCV will not be included, please visit this guide on how to use the community version
  • For product specifications, please visit release notes on OpenVINO toolkit 2022.1
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2022.1

22 Mar 21:57
@asuhov asuhov
2022.1.0
cdb9bec
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2022.1

Major Features and Improvements Summary

This release is the biggest upgrade in 3.5 years! Read the release notes below for a summary of changes.

2022.1 release provides functional bug fixes, and capability changes for the previous 2021.4.2 LTS release. This new release empowers developers with new performance enhancements, more deep learning models, more device portability, and higher inferencing performance with fewer code changes.

Note: This is a standard release intended for developers that prefer the very latest features and leading performance. Standard releases will continue to be made available three to four times a year. Long Term Support (LTS) releases are also available. A new LTS version is released every year and is supported for 2 years (1 year of bug fixes, and 2 years for security patches). ead Intel® Distribution of OpenVINO™ toolkit Long-Term Support (LTS) Policy to get details. Latest LTS releases: 2020.x LTS and 2021.x LTS.

  • Updated, cleaner API:

    • New OpenVINO API 2.0 was introduced. The API aligns OpenVINO inputs/outputs with frameworks. Input and output tensors use native framework layouts and element types. Old Inference Engine and nGraph APIs are available but will be deprecated in a future release down the road.

    • inference_engine, inference_engine_transformations, inferencengine_lp_transformations and ngraph libraries were merged to common openvino library. Other libraries were renamed. Please, use common ov:: namespace inside all OpenVINO components. See how to implement Inference Pipeline using OpenVINO API v2.0 for details.

    • Model Optimizer’s API parameters have been reduced to minimize complexity. Performance has been significantly improved for model conversion on ONNX models.

    • It’s highly recommended to migrate to API 2.0 because it already has additional features and this list will be extended later. The following list of additional features is supported by API 2.0:

      • Working with dynamic shapes. The feature is quite useful for best performance for Neural Language Processing (NLP) models, super-resolution models, and other which accepts dynamic input shapes. Note: Models compiled with dynamic shapes may show reduced performance and consume more memory than models configured with a static shape on the same input tensor size. Setting upper bounds to reshape the model for dynamic shapes or splitting the input into several parts is recommended.

      • Preprocessing of the model to add preprocessing operations to the inference models and fully occupy the accelerator and free CPU resources.

    • Read the Transition Guide for migrating to the new API 2.0.

  • Portability and Performance:

    • New AUTO plugin self-discovers available system inferencing capacity based on model requirements, so applications no longer need to know its compute environment in advance.

    • The OpenVINO™ performance hints are the new way to configure the performance with portability in mind. The hints “reverse” the direction of the configuration in the right fashion: rather than map the application needs to the low-level performance settings, and keep an associated application logic to configure each possible device separately, the idea is to express a target scenario with a single config key and let the device to configure itself in response. As the hints are supported by every OpenVINO™ device, this is a completely portable and future-proof solution.

    • Automatic batching functionality via code hints automatically scale batch size based on XPU and available memory.

  • Broader Model Support:

    • With Dynamic Input Shapes capabilities on CPU, OpenVINO will be able to adapt to multiple input dimensions in a single model providing more complete NLP support. Dynamic Shapes support on additional XPUs expected in a future dot release.

  • New Models with focus on NLP and a new category, Anomaly detection, and support for conversion and inference of select PaddlePaddle models:

    • Pre-trained Models: Anomaly segmentation focus on industrial inspection making Speech denoising trainable plus updates on speech recognition and speech synthesis

    • Combined Demo: Noise reduction + speech recognition + question answering + translation+ text to speech

    • Public Models: Focus on NLP ContextNet, Speech-Transformer, HiFi-GAN, Glow-TTS, FastSpeech2, and Wav2Vec

  • Built with 12th Gen Intel® Core™ 'Alder Lake' in mind. Supports the hybrid architecture to deliver enhancements for high-performance inferencing on CPU & integrated GPU

You can find OpenVINO™ toolkit 2022.1 release here:

Release documentation is available here: https://docs.openvino.ai/2022.1/

Release Notes are available here: https://www.intel.com/content/www/us/en/developer/articles/release-notes/openvino-relnotes.html

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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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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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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

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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
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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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