Fixed links to build instruction (#3309)

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Ilya Lavrenov 2020-11-24 13:12:22 +03:00 committed by GitHub
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5 changed files with 5 additions and 5 deletions

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@ -116,7 +116,7 @@ For Intel® Distribution of OpenVINO™ toolkit, the Inference Engine package co
[sample console applications](Samples_Overview.md) demonstrating how you can use
the Inference Engine in your applications.
The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md">Inference Engine Build Instructions</a>.
The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
## See Also
- [Inference Engine Samples](Samples_Overview.md)
- [Intel&reg; Deep Learning Deployment Toolkit Web Page](https://software.intel.com/en-us/computer-vision-sdk)

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@ -53,7 +53,7 @@ The officially supported Linux* build environment is the following:
* GCC* 7.5.0 (for Ubuntu* 18.04) or GCC* 4.8.5 (for CentOS* 7.6)
* CMake* version 3.10 or higher
> **NOTE**: For building samples from the open-source version of OpenVINO™ toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md).
> **NOTE**: For building samples from the open-source version of OpenVINO™ toolkit, see the [build instructions on GitHub](https://github.com/openvinotoolkit/openvino/wiki/BuildingCode).
To build the C or C++ sample applications for Linux, go to the `<INSTALL_DIR>/inference_engine/samples/c` or `<INSTALL_DIR>/inference_engine/samples/cpp` directory, respectively, and run the `build_samples.sh` script:
```sh

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@ -7,7 +7,7 @@ Inference Engine is a set of C++ libraries providing a common API to deliver inf
For Intel® Distribution of OpenVINO™ toolkit, Inference Engine binaries are delivered within release packages.
The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md">Inference Engine Build Instructions</a>.
The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
To learn about how to use the Inference Engine API for your application, see the [Integrating Inference Engine in Your Application](Integrate_with_customer_application_new_API.md) documentation.

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@ -29,7 +29,7 @@
<tab type="user" title="Anaconda Cloud" url="@ref openvino_docs_install_guides_installing_openvino_conda"/>
<tab type="user" title="Yocto" url="@ref openvino_docs_install_guides_installing_openvino_yocto"/>
<tab type="user" title="PyPI" url="@ref openvino_docs_install_guides_installing_openvino_pip"/>
<tab type="user" title="Build from Source" url="https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md"/>
<tab type="user" title="Build from Source" url="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode"/>
</tab>
<!-- Get Started Guides-->
<tab type="usergroup" title="Get Started Guides" url=""><!--automatically generated-->

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@ -99,4 +99,4 @@ Intel® Distribution of OpenVINO™ toolkit includes the following components:
- [OpenCV](https://docs.opencv.org/master/) - OpenCV* community version compiled for Intel® hardware
- [Intel® Media SDK](https://software.intel.com/en-us/media-sdk) (in Intel® Distribution of OpenVINO™ toolkit for Linux only)
OpenVINO™ Toolkit opensource version is available on [GitHub](https://github.com/openvinotoolkit/openvino). For building the Inference Engine from the source code, see the <a href="https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md">build instructions</a>.
OpenVINO™ Toolkit opensource version is available on [GitHub](https://github.com/openvinotoolkit/openvino). For building the Inference Engine from the source code, see the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">build instructions</a>.