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Inserting videos (#4254)

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Andrey Zaytsev
2021-02-11 22:56:48 +03:00
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commit 3e8f2cc58b
5 changed files with 30 additions and 3 deletions
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4
docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md
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@@ -86,3 +86,7 @@ inference of a pre-trained and optimized deep learning model and a set of sample
* [Known Issues](Known_Issues_Limitations.md)
**Typical Next Step:** [Introduction to Inference Engine](inference_engine_intro.md)
## Video: Inference Engine Concept
[![](https://img.youtube.com/vi/e6R13V8nbak/0.jpg)](https://www.youtube.com/watch?v=e6R13V8nbak)
<iframe width="560" height="315" src="https://www.youtube.com/embed/e6R13V8nbak" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

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docs/IE_DG/supported_plugins/MULTI.md
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@@ -92,11 +92,18 @@ Notice that until R2 you had to calculate number of requests in your application
Notice that every OpenVINO sample that supports "-d" (which stays for "device") command-line option transparently accepts the multi-device.
The [Benchmark Application](../../../inference-engine/samples/benchmark_app/README.md) is the best reference to the optimal usage of the multi-device. As discussed multiple times earlier, you don't need to setup number of requests, CPU streams or threads as the application provides optimal out of the box performance.
Below is example command-line to evaluate HDDL+GPU performance with that:
```bash
$ ./benchmark_app –d MULTI:HDDL,GPU –m <model> -i <input> -niter 1000
```sh
./benchmark_app –d MULTI:HDDL,GPU –m <model> -i <input> -niter 1000
```
Notice that you can use the FP16 IR to work with multi-device (as CPU automatically upconverts it to the fp32) and rest of devices support it naturally.
Also notice that no demos are (yet) fully optimized for the multi-device, by means of supporting the OPTIMAL_NUMBER_OF_INFER_REQUESTS metric, using the GPU streams/throttling, and so on.
## Video: MULTI Plugin
[![](https://img.youtube.com/vi/xbORYFEmrqU/0.jpg)](https://www.youtube.com/watch?v=xbORYFEmrqU)
<iframe width="560" height="315" src="https://www.youtube.com/embed/xbORYFEmrqU" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## See Also
* [Supported Devices](Supported_Devices.md)

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docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md
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@@ -91,3 +91,16 @@ Model Optimizer produces an Intermediate Representation (IR) of the network, whi
* [Known Issues](Known_Issues_Limitations.md)
**Typical Next Step:** [Preparing and Optimizing your Trained Model with Model Optimizer](prepare_model/Prepare_Trained_Model.md)
## Video: Model Optimizer Concept
[![](https://img.youtube.com/vi/Kl1ptVb7aI8/0.jpg)](https://www.youtube.com/watch?v=Kl1ptVb7aI8)
<iframe width="560" height="315" src="https://www.youtube.com/embed/Kl1ptVb7aI8" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## Video: Model Optimizer Basic Operation
[![](https://img.youtube.com/vi/BBt1rseDcy0/0.jpg)](https://www.youtube.com/watch?v=BBt1rseDcy0)
<iframe width="560" height="315" src="https://www.youtube.com/embed/BBt1rseDcy0" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## Video: Choosing the Right Precision
[![](https://img.youtube.com/vi/RF8ypHyiKrY/0.jpg)](https://www.youtube.com/watch?v=RF8ypHyiKrY)
<iframe width="560" height="315" src="https://www.youtube.com/embed/RF8ypHyiKrY" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

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docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md
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@@ -368,6 +368,10 @@ Refer to [Supported Framework Layers ](../Supported_Frameworks_Layers.md) for th
The Model Optimizer provides explanatory messages if it is unable to run to completion due to issues like typographical errors, incorrectly used options, or other issues. The message describes the potential cause of the problem and gives a link to the [Model Optimizer FAQ](../Model_Optimizer_FAQ.md). The FAQ has instructions on how to resolve most issues. The FAQ also includes links to relevant sections in the Model Optimizer Developer Guide to help you understand what went wrong.
## Video: Converting a TensorFlow Model
[![](https://img.youtube.com/vi/QW6532LtiTc/0.jpg)](https://www.youtube.com/watch?v=QW6532LtiTc)
<iframe width="560" height="315" src="https://www.youtube.com/embed/QW6532LtiTc" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## Summary
In this document, you learned:

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docs/how_tos/how-to-links.md
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@@ -44,7 +44,6 @@ To learn about what is *custom operation* and how to work with them in the Deep
[![](https://img.youtube.com/vi/Kl1ptVb7aI8/0.jpg)](https://www.youtube.com/watch?v=Kl1ptVb7aI8)
<iframe width="560" height="315" src="https://www.youtube.com/embed/Kl1ptVb7aI8" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
## Computer Vision with Intel
[![](https://img.youtube.com/vi/FZZD4FCvO9c/0.jpg)](https://www.youtube.com/watch?v=FZZD4FCvO9c)