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Fix a link for install archive pages (#13230)

Browse Source 
* update links

* update for test

Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com>
This commit is contained in:
Yuan Xu
2022-09-28 01:48:53 +08:00
committed by GitHub
parent d183c1ca44
commit 67934ce37e
4 changed files with 6 additions and 6 deletions
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6
docs/OV_Runtime_UG/Samples_Overview.md
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@@ -81,7 +81,7 @@ To run the sample, you can use [public](@ref omz_models_group_public) or [Intel'
## Build the Sample Applications
### <a name="build_samples_linux"></a>Build the Sample Applications on Linux
### <a name="build-samples-linux"></a>Build the Sample Applications on Linux
The officially supported Linux* build environment is the following:
@@ -132,7 +132,7 @@ make
For the release configuration, the sample application binaries are in `<path_to_build_directory>/intel64/Release/`;
for the debug configuration — in `<path_to_build_directory>/intel64/Debug/`.
### <a name="build_samples_windows"></a>Build the Sample Applications on Microsoft Windows
### <a name="build-samples-windows"></a>Build the Sample Applications on Microsoft Windows
The recommended Windows build environment is the following:
* Microsoft Windows 10
@@ -156,7 +156,7 @@ You can also build a generated solution manually. For example, if you want to bu
Microsoft Visual Studio and open the generated solution file from the `C:\Users\<user>\Documents\Intel\OpenVINO\inference_engine_cpp_samples_build\Samples.sln`
directory.
### <a name="build_samples_macos"></a>Build the Sample Applications on macOS*
### <a name="build-samples-macos"></a>Build the Sample Applications on macOS*
The officially supported macOS* build environment is the following:

2
docs/install_guides/installing-openvino-from-archive-linux.md
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@@ -149,7 +149,7 @@ Start with some Python tutorials:
* [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
To start with C++ samples, see [Build Sample Applications on Linux](../OV_Runtime_UG/Samples_Overview.md#build_samples_linux) first, and then you can try the following samples:
To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build Sample Applications on Linux</a> first, and then you can try the following samples:
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)

2
docs/install_guides/installing-openvino-from-archive-macos.md
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@@ -104,7 +104,7 @@ Start with some Python tutorials:
* [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
To start with C++ samples, see [Build Sample Applications on macOS](../OV_Runtime_UG/Samples_Overview.md#build_samples_macos) first, and then you can try the following samples:
To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-macos">Build Sample Applications on macOS</a> first, and then you can try the following samples:
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)

2
docs/install_guides/installing-openvino-from-archive-windows.md
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@@ -136,7 +136,7 @@ Start with some Python tutorials:
* [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
* [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
To start with C++ samples, see [Build Sample Applications on Windows](../OV_Runtime_UG/Samples_Overview.md#build_samples_windows) first, and then you can try the following samples:
To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-windows">Build Sample Applications on Windows</a> first, and then you can try the following samples:
* [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
* [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
* [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)