Docs: Changed OpenVINO Runtime User Guide integration (#10187)

* Changed C++ OpenVINO Runtime User Guide integration

* Remove IE from C++ guide

* Fixed comments

* Additional fix

* Fixed some comments

* Some new documents

* Fixed some comments

* Added Python snippets

* Added sphinx tabs

* Removed tabs

* Removed group-tab

* Added additional lines

* Fixed typo

* Fixed comments and build

* Try to fix complex tabs

* Fixed some typos

* Added python code for model representation

* Added more python code

* Added serialize/visualize python examples

* Simplify integration pipeline

* Fixed typo

* Try to fix tabs

* Extend CompiledModel guide

* Resolve merge conflict

* Added separate infer request guide

* Fixed build

* Added cancel infer request method

* Update docs/snippets/ov_model_snippets.py

Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>

* Fixed comments

* Fixed typo

* Extend visualize pass

* Fixed comments

* Fixed build

* Fixed typo

* Update docs/snippets/ov_infer_request.py

Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>

* Update docs/snippets/ov_infer_request.py

Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/integrate_with_your_application.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/model_representation.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Update docs/OV_Runtime_UG/model_representation.md

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

* Fixed comments

* Fixed doc

* Fixed merge

Co-authored-by: Jan Iwaszkiewicz <jan.iwaszkiewicz@intel.com>
Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>

samples/c/hello_classification/README.md

@@ -26,7 +26,7 @@ Upon the start-up, the sample application reads command line parameters, loads s
 Then, the sample creates an synchronous inference request object. When inference is done, the application outputs data to the standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the Inference Engine with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -92,8 +92,8 @@ This sample is an API example, for any performance measurements please use the d
 
 ## See Also
 
-- [Integrate the Inference Engine with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
-- [Using Inference Engine Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
+- [Integrate OpenVINO™ into Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
+- [Using OpenVINO™ Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)
 

samples/c/hello_nv12_input_classification/README.md

@@ -25,7 +25,7 @@ image in the NV12 color format to an Inference Engine plugin. Then, the sample c
 application outputs data to the standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](https://docs.openvino.ai/latest/openvino_docs_IE_DG_Integrate_with_customer_application_new_API.html) section of "Integrate the Inference Engine with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -107,8 +107,8 @@ This sample is an API example, for any performance measurements please use the d
 
 ## See Also
 
-- [Integrate the Inference Engine with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
-- [Using Inference Engine Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
+- [Integrate the OpenVINO™ into Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
+- [Using OpenVINO™ Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)
 

samples/cpp/classification_sample_async/README.md

@@ -36,7 +36,7 @@ After that, the application starts inference for the first infer request and wai
 When inference is done, the application outputs data to the standard output stream. You can place labels in .labels file near the model to get pretty output.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -172,7 +172,7 @@ classid probability
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/cpp/hello_classification/README.md

@@ -26,7 +26,7 @@ The following C++ API is used in the application:
 At startup, the sample application reads command line parameters, prepares input data, loads a specified model and image to the OpenVINO™ Runtime plugin and performs synchronous inference. Then processes output data and write it to a standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -116,7 +116,7 @@ classid probability
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/cpp/hello_nv12_input_classification/README.md

@@ -25,7 +25,7 @@ Basic OpenVINO™ Runtime API is covered by [Hello Classification C++ sample](..
 At startup, the sample application reads command line parameters, loads the specified model and an
 image in the NV12 color format to an OpenVINO™ Runtime plugin. Then, the sample creates an synchronous inference request object. When inference is done, the application outputs data to the standard output stream. You can place labels in .labels file near the model to get pretty output.
 
-You can see the explicit description of each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+You can see the explicit description of each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -130,7 +130,7 @@ classid probability
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/cpp/hello_query_device/README.md

@@ -90,5 +90,5 @@ The application prints all available devices with their supported metrics and de
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)

samples/cpp/hello_reshape_ssd/README.md

@@ -27,7 +27,7 @@ Upon the start-up the sample application reads command line parameters, loads sp
 Engine plugin. Then, the sample creates an synchronous inference request object. When inference is done, the application creates output image and output data to the standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -116,7 +116,7 @@ This sample is an API example, for any performance measurements please use the d
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/cpp/model_creation_sample/README.md

@@ -33,7 +33,7 @@ At startup, the sample application does the following:
 - Loads the model and input data to the OpenVINO™ Runtime plugin
 - Performs synchronous inference and processes output data, logging each step in a standard output stream
 
-You can see the explicit description of each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+You can see the explicit description of each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Building
 
@@ -178,6 +178,6 @@ classid probability label
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/cpp/speech_sample/README.md

@@ -31,7 +31,7 @@ At startup, the sample application reads command-line parameters, loads a specif
 If the `-r` option is given, error statistics are provided for each speech utterance as shown above.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ### GNA-specific details
 
@@ -237,7 +237,7 @@ All of mentioned files can be downloaded from [https://storage.openvinotoolkit.o
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/python/classification_sample_async/README.md

@@ -23,7 +23,7 @@ Basic OpenVINO™ Runtime API is covered by [Hello Classification Python* Sample
 At startup, the sample application reads command-line parameters, prepares input data, loads a specified model and image(s) to the OpenVINO™ Runtime plugin, performs synchronous inference, and processes output data, logging each step in a standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Running
 
@@ -135,7 +135,7 @@ The sample application logs each step in a standard output stream and outputs to
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/python/hello_classification/README.md

@@ -24,7 +24,7 @@ The following Python API is used in the application:
 At startup, the sample application reads command-line parameters, prepares input data, loads a specified model and image to the OpenVINO™ Runtime plugin, performs synchronous inference, and processes output data, logging each step in a standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Running
 
@@ -98,7 +98,7 @@ The sample application logs each step in a standard output stream and outputs to
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/python/hello_reshape_ssd/README.md

@@ -24,7 +24,7 @@ At startup, the sample application reads command-line parameters, prepares input
 As a result, the program creates an output image, logging each step in a standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Running
 
@@ -86,7 +86,7 @@ The sample application logs each step in a standard output stream and creates an
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/python/model_creation_sample/README.md

@@ -28,7 +28,7 @@ At startup, the sample application does the following:
 
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## Running
 
@@ -127,7 +127,7 @@ The sample application logs each step in a standard output stream and outputs 10
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)

samples/python/speech_sample/README.md

@@ -29,7 +29,7 @@ Basic OpenVINO™ Runtime API is covered by [Hello Classification Python* Sample
 At startup, the sample application reads command-line parameters, loads a specified model and input data to the OpenVINO™ Runtime plugin, performs synchronous inference on all speech utterances stored in the input file, logging each step in a standard output stream.
 
 You can see the explicit description of
-each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md) section of "Integrate the OpenVINO™ Runtime with Your Application" guide.
+each sample step at [Integration Steps](../../../docs/OV_Runtime_UG/integrate_with_your_application.md) section of "Integrate OpenVINO™ Runtime with Your Application" guide.
 
 ## GNA-specific details
 
@@ -328,7 +328,7 @@ The sample application logs each step in a standard output stream.
 
 ## See Also
 
-- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/Integrate_with_customer_application_new_API.md)
+- [Integrate the OpenVINO™ Runtime with Your Application](../../../docs/OV_Runtime_UG/integrate_with_your_application.md)
 - [Using OpenVINO™ Toolkit Samples](../../../docs/OV_Runtime_UG/Samples_Overview.md)
 - [Model Downloader](@ref omz_tools_downloader)
 - [Model Optimizer](../../../docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md)