* Docs: Update the doc on default hint and execution devices property (#14836) * Docs: Update to LATENCY as default hint * Docs: Update the doc on execution devices property * Update auto_device_selection.md Co-authored-by: Yuan Xu <yuan1.xu@intel.com> * 22.3: remove tbb version check for using tbbbind static library (#15700) * update symbolic link on uninstall page (#15720) * Update deployment_simplified.svg (#15681) * [NormalizeL2] normalization of reduction axes (#15841) (#15879) * Add test for negative axes, preliminary solution to solve uncorrect results * Normalize axes in operation NormalizeL2 * Add test for negative axes * Add EOF * [67541] - face-detection-0205, 0206 issues fixed (incorrect dimensions error) (#14687) * [CVS-67541] - face-detection-0205, 0206 issues fixed (incorrect dimensions error) * [CVS-67541] - face-detection-0205, 0206 issues fixed * Conversion fail for ov::hint::performance_mode with UNDEFINED value (#15903) * Update ov::hint::performance_hint UNDEFINED value from empty string to "UNDEFINED". Update benchmark Python version. Update the description about hint setting within benchmark APP README and help message. * Drop the reduntant changes. * Supported OpenSUSE 15.3 (#15897) (#15907) * [DOCS] Structure change for 'AUTO Device Selection' article - post merge fix (#15752) * aligning with 14750 * Fixed samples build on Debian 10 with cmake 3.13 (#15939) * Fixed samples build on Debian 10 with cmake 3.13 * Use 2022/3 branches * Limit setuptools version * Fixed issues in setupvars.sh (#15884) (#15952) * Fixed issues with setupvar.sh * Fixes setupvars realpath error --------- Co-authored-by: Otoka, Tomasz <tomasz.otoka@intel.com> * Apivalidator (#15951) * Improved API validator logic (#15942) * Fix for apiValidator when more than 1 target needs to be checked (#15950) * Prevent infinite recursion * [Snippets] Added matcher_name in ConvertConstantsToScalars pass (#15977) * Install libtbb2 instead of libtbb12 on U22.04 (#15993) * Apply Apivalidator to extra TBB libs (#15998) * [GNA] Changed max layer limit tests to avoid SEH exceptions (#15015) (#15460) * splitted test model * Changed test config * Set SF for all inputs * [Transformations] Enable missing runtime info check (#15796) (#15972) * Add rt info propagation to StridesOptimization * Enable rt info check for pruning tests * Fixed clang-format for C API (#16025) * Port to 2022.3 from master (#16049) * notebooks update (#16091) 20230302220806 * Update Customize_Model_Optimizer.md (#15687) Recreating #14062 * fix benchmark_app python to support YES and NO values for -pin parameter (#16042) * support YES and NO for -pin * add if property_name == 'AFFINITY' --------- Co-authored-by: Chen Peter <peter.chen@intel.com> * [Docs] nv12 changes port to 22.3 (#16115) Port: #15370 #16004 add single-plane input information create single-plane cpp snippet menu fix update formatting for sphinx directives additional snippet fixes --------- Co-authored-by: Ilya Churaev <ilyachur@gmail.com> Co-authored-by: Vladimir Paramuzov <vladimir.paramuzov@intel.com> * [DOCS] Port Frontend Extensions and OTX page (#16135) * [DOCS] Add OTX page to Ecosystem (#16118) * add otx page * change ecosystem page * add ote img * move ote page to rst * fix path * add path * img test * otx page * add docs to ecosystem page * [DOCS] Fix Frontend Extensions snippets (#16120) * move fe to rst * fix code snippets * add more line breaks * fix tabsets * fix link * fix anchor * test * fixing link * change tab directive * fix tabs * align code tabs * fix link * fix snippets * add dlwb to ecosystem * change ecosystem menu * exclude fe page * Port to 2022.3 (#16174) * Remove setuptools upperbound (#16054) * Added missed licenses to openvino-dev (#16057) * Fixed OpenMP + debian package code-path (#16058) * [CPU] Prevent out of bounds read inside Graph::InferDynamic (#16067) * Fixed compilation on Debian 11 with gcc 12.2 (#16096) * Fix for OpenCL --------- Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com> Co-authored-by: Maksim Kutakov <maksim.kutakov@intel.com> * Docs benchmarks page update port 22.3 (#16187) changes to benchmarks page to align with theme * Andreib/2022.3 myriad plugin obs (#16079) * Changed to OBS firmware * Changed dependencies settings for new FW --------- Co-authored-by: Daria Mityagina <daria.mityagina@intel.com> * port-16085 (#16210) * 234 update (#16212) Adding notebook 234-encodec-audio-compression * [DOCS] Adding 'Scrollbox' - new sphinx directive (#15307) port https://github.com/openvinotoolkit/openvino/pull/15305 * [DOCS] Updating 'Prerequisites' section in `Configurations for GNA` article - for 22.3 (#16237) * issue-15090 Add command for installation of prerequisites on Linux. * DOCS-image-fix port22.3 (#16341) (#16324) (#16308) * Clearing of CustomReplacementRegistry.registry in convert_model() (#15893) (#16347) * Clearing of CustomReplacementRegistry.registry. * Added test. * Fixed clearing of pipeline config params and TF session in convert_model() (#16191) (#16346) * Fixed pipeline config params clearing. * Added clearing of TF session. Added tests. --------- Co-authored-by: Wang Wangwang <wangwang.wang@intel.com> Co-authored-by: Yuan Xu <yuan1.xu@intel.com> Co-authored-by: Fang Xu <fang.xu@intel.com> Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com> Co-authored-by: Artur Kulikowski <artur.kulikowski@intel.com> Co-authored-by: Daria Mityagina <daria.mityagina@intel.com> Co-authored-by: Wang, Yang <yang4.wang@intel.com> Co-authored-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com> Co-authored-by: Otoka, Tomasz <tomasz.otoka@intel.com> Co-authored-by: Alexandra Sidorova <alexandra.sidorova@intel.com> Co-authored-by: Vitaliy Urusovskij <vitaliy.urusovskij@intel.com> Co-authored-by: Mikhail Ryzhov <mikhail.ryzhov@intel.com> Co-authored-by: Tomasz Jankowski <tomasz1.jankowski@intel.com> Co-authored-by: Haiqi Pan <haiqi.pan@intel.com> Co-authored-by: Chen Peter <peter.chen@intel.com> Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com> Co-authored-by: Ilya Churaev <ilyachur@gmail.com> Co-authored-by: Vladimir Paramuzov <vladimir.paramuzov@intel.com> Co-authored-by: Tatiana Savina <tatiana.savina@intel.com> Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com> Co-authored-by: Maksim Kutakov <maksim.kutakov@intel.com> Co-authored-by: Andrei-George Boji <andrei-george.boji@intel.com> Co-authored-by: Anastasiia Pnevskaia <anastasia.popova@intel.com>
3.8 KiB
OpenVINO™ Ecosystem Overview
@sphinxdirective
.. toctree:: :maxdepth: 1 :hidden:
ote_documentation ovtf_integration ovsa_get_started openvino_inference_engine_tools_compile_tool_README openvino_docs_tuning_utilities workbench_docs_Workbench_DG_Introduction
@endsphinxdirective
OpenVINO™ is not just one tool. It is an expansive ecosystem of utilities, providing a comprehensive workflow for deep learning solution development. Learn more about each of them to reach the full potential of OpenVINO™ Toolkit.
Neural Network Compression Framework (NNCF)
A suite of advanced algorithms for Neural Network inference optimization with minimal accuracy drop. NNCF applies quantization, filter pruning, binarization and sparsity algorithms to PyTorch and TensorFlow models during training.
More resources:
OpenVINO™ Training Extensions
A convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference.
More resources:
- [Overview](@ref ote_documentation)
- GitHub
- Documentation
OpenVINO™ Security Add-on
A solution for Model Developers and Independent Software Vendors to use secure packaging and secure model execution.
More resources:
OpenVINO™ integration with TensorFlow (OVTF)
A solution empowering TensorFlow developers with OpenVINO's optimization capabilities. With just two lines of code in your application, you can offload inference to OpenVINO, while keeping the TensorFlow API.
More resources:
DL Streamer
A streaming media analytics framework, based on the GStreamer multimedia framework, for creating complex media analytics pipelines.
More resources:
DL Workbench
A web-based tool for deploying deep learning models. Built on the core of OpenVINO and equipped with a graphics user interface, DL Workbench is a great way to explore the possibilities of the OpenVINO workflow, import, analyze, optimize, and build your pre-trained models. You can do all that by visiting Intel® DevCloud for the Edge and launching DL Workbench on-line.
More resources:
Computer Vision Annotation Tool (CVAT)
An online, interactive video and image annotation tool for computer vision purposes.
More resources:
Dataset Management Framework (Datumaro)
A framework and CLI tool to build, transform, and analyze datasets.
More resources: