IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Removed obsolete documentation (#10504)

Browse Source 
* Removed obsolete documentation

* Fixed documentation

* Additional fix
This commit is contained in:
Ilya Churaev
2022-02-18 13:02:55 +03:00
committed by GitHub
parent e8ff31f4fb
commit a18c8076cc
33 changed files with 57 additions and 1096 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/documentation.md
View File

@@ -17,7 +17,7 @@
:caption: Deploying Inference
:hidden:
openvino_docs_IE_DG_Deep_Learning_Inference_Engine_DevGuide
openvino_docs_OV_Runtime_User_Guide
openvino_docs_install_guides_deployment_manager_tool
openvino_inference_engine_tools_compile_tool_README
@@ -93,7 +93,7 @@ This section provides reference documents that guide you through developing your
With the [Model Downloader](@ref omz_tools_downloader) and [Model Optimizer](MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md) guides, you will learn to download pre-trained models and convert them for use with the OpenVINO™ toolkit. You can provide your own model or choose a public or Intel model from a broad selection provided in the [Open Model Zoo](model_zoo.md).
## Deploying Inference
The [OpenVINO™ Runtime User Guide](OV_Runtime_UG/Deep_Learning_Inference_Engine_DevGuide.md) explains the process of creating your own application that runs inference with the OpenVINO™ toolkit. The [API Reference](./api_references.html) defines the Inference Engine API for Python, C++, and C and the nGraph API for Python and C++. The Inference Engine API is what you'll use to create an OpenVINO™ application, while the nGraph API is available for using enhanced operations sets and other features. After writing your application, you can use the [Deployment Manager](install_guides/deployment-manager-tool.md) for deploying to target devices.
The [OpenVINO™ Runtime User Guide](OV_Runtime_UG/OpenVINO_Runtime_User_Guide.md) explains the process of creating your own application that runs inference with the OpenVINO™ toolkit. The [API Reference](./api_references.html) defines the Inference Engine API for Python, C++, and C and the nGraph API for Python and C++. The Inference Engine API is what you'll use to create an OpenVINO™ application, while the nGraph API is available for using enhanced operations sets and other features. After writing your application, you can use the [Deployment Manager](install_guides/deployment-manager-tool.md) for deploying to target devices.
## Tuning for Performance
The toolkit provides a [Performance Optimization Guide](optimization_guide/dldt_optimization_guide.md) and utilities for squeezing the best performance out of your application, including [Accuracy Checker](@ref omz_tools_accuracy_checker), [Post-Training Optimization Tool](@ref pot_README), and other tools for measuring accuracy, benchmarking performance, and tuning your application.