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openvino/docs/model_zoo.md
Andrey Zaytsev 4ae6258bed Feature/azaytsev/from 2021 4 (#9247) 
* Added info on DockerHub CI Framework

* Feature/azaytsev/change layout (#3295)

* Changes according to feedback comments

* Replaced @ref's with html links

* Fixed links, added a title page for installing from repos and images, fixed formatting issues

* Added links

* minor fix

* Added DL Streamer to the list of components installed by default

* Link fixes

* Link fixes

* ovms doc fix (#2988)

* added OpenVINO Model Server

* ovms doc fixes

Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>

* Updated openvino_docs.xml

* Updated the link to software license agreements

* Revert "Updated the link to software license agreements"

This reverts commit 706dac500e.

* Docs to Sphinx (#8151)

* docs to sphinx

* Update GPU.md

* Update CPU.md

* Update AUTO.md

* Update performance_int8_vs_fp32.md

* update

* update md

* updates

* disable doc ci

* disable ci

* fix index.rst

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
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* Cherry-picked remove font-family (#8211)

* Cherry-picked: Update get_started_scripts.md (#8338)

* doc updates (#8268)

* Various doc changes

* theme changes

* remove font-family (#8211)

* fix  css

* Update uninstalling-openvino.md

* fix css

* fix

* Fixes for Installation Guides

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
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* Cherry-picked: doc script changes (#8568)

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* Cherry-pick: Feature/azaytsev/doc updates gna 2021 4 2 (#8567)

* Various doc changes

* Reformatted C++/Pythob sections. Updated with info from PR8490

* additional fix

* Gemini Lake replaced with Elkhart Lake

* Fixed links in IGs, Added 12th Gen
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* Cherry-pick: Feature/azaytsev/doc fixes (#8897)

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* Removed the empty Learning path topic

* Restored the Gemini Lake CPIU list
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* Cherry-pick: perf bench graph animation (#9045)

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* Cherry-pick: doc pytest (#8888)

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* Cherry-pick: restore deleted files (#9215)

* Added new operations to the doc structure (from removed ie_docs.xml)

* Additional fixes

* Update docs/IE_DG/InferenceEngine_QueryAPI.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update docs/IE_DG/Int8Inference.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update Custom_Layers_Guide.md

* Changes according to review  comments

* doc scripts fixes

* Update docs/IE_DG/Int8Inference.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update Int8Inference.md

* update xfail

* clang format

* updated xfail

Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
Co-authored-by: Yury Gorbachev <yury.gorbachev@intel.com>
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
2021-12-21 20:26:37 +03:00

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Model Zoo

@sphinxdirective

.. toctree:: :maxdepth: 1 :hidden: :caption: Pre-Trained Models

omz_models_group_intel omz_models_group_public

.. toctree:: :maxdepth: 1 :hidden: :caption: Demo Applications

omz_demos

@endsphinxdirective

Open Model Zoo for OpenVINO™ toolkit provides a wide variety of free, pre-trained deep learning models and demo applications that provide full application templates to help you implement deep learning in Python, C++, or OpenCV Graph API (G-API).

Browse through over 200 neural network models, both [public](@ref omz_models_group_public) and from [Intel](@ref omz_models_group_intel), and pick the right one for your solution. Types include object detection, classification, image segmentation, handwriting recognition, text to speech, pose estimation, and others. The Intel models have already been converted to work with OpenVINO™ software, while public models can easily be converted using the [Model Optimizer](@ref openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide) utility.

Get started with simple step-by-step procedures to learn how to build and run demo applications or discover the [full set of demos](@ref omz_demos) and adapt them for implementing specific deep learning scenarios in your applications.