3.1 KiB
Documentation
@sphinxdirective
.. toctree:: :maxdepth: 1 :caption: Converting and Preparing Models :hidden:
openvino_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide openvino_docs_HOWTO_Custom_Layers_Guide openvino_docs_IE_DG_Tools_Model_Downloader
.. toctree:: :maxdepth: 1 :caption: Deploying Inference :hidden:
openvino_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide openvino_docs_nGraph_DG_DevGuide openvino_docs_install_guides_deployment_manager_tool openvino_inference_engine_tools_compile_tool_README
.. toctree:: :maxdepth: 1 :caption: Tuning for Performance :hidden:
openvino_docs_performance_benchmarks openvino_docs_optimization_guide_dldt_optimization_guide openvino_docs_MO_DG_Getting_Performance_Numbers pot_README openvino_docs_tuning_utilities
.. toctree::
:maxdepth: 1
:caption: Graphical Web Interface for OpenVINO™ toolkit
:hidden:
workbench_docs_Workbench_DG_Introduction workbench_docs_Workbench_DG_Install workbench_docs_Workbench_DG_Work_with_Models_and_Sample_Datasets workbench_docs_Workbench_DG_User_Guide workbench_docs_security_Workbench workbench_docs_Workbench_DG_Troubleshooting
.. toctree:: :maxdepth: 1 :hidden: :caption: Media Processing
DL Streamer API Reference https://openvinotoolkit.github.io/dlstreamer_gst/ gst_samples_README openvino_docs_gapi_gapi_intro OpenVX Developer Guide https://software.intel.com/en-us/openvino-ovx-guide OpenVX API Reference https://khronos.org/openvx OpenCV* Developer Guide https://docs.opencv.org/master/ OpenCL™ Developer Guide https://software.intel.com/en-us/openclsdk-devguide
.. toctree:: :maxdepth: 1 :caption: Add-Ons :hidden:
openvino_docs_ovms ovsa_get_started
.. toctree:: :maxdepth: 1 :caption: Developing Inference Engine Plugins :hidden:
groupie_dev_api Inference Engine Plugin Developer Guide <docs_ie_plugin_dg_overview>
.. toctree:: :maxdepth: 1 :hidden: :caption: Use OpenVINO™ Toolkit Securely
openvino_docs_security_guide_introduction openvino_docs_security_guide_workbench openvino_docs_IE_DG_protecting_model_guide ovsa_get_started
@endsphinxdirective
This section provides documentation that guides you through developing your deep learning applications with the OpenVINO™ toolkit.
With the Model Optimizer and [Model Downloader](@ref omz_tools_downloader) guides, you will learn how to download or prepare deep learning models to use with OpenVINO™ toolkit.
The Inference Engine Developer Guide and API References provides information on how to integrate and utilize the inference API to run inference on your models.
Read the [Accuracy Checker](@ref omz_tools_accuracy_checker), Performance Optimization and [Post-Training Optimization Tool](@ref pot_README) guides to know how to check the accuracy of you model, tune it in development and deploy a more efficient application.