From 3e8f2cc58bca3a000a66f94c7bbdbbdca7cf265f Mon Sep 17 00:00:00 2001 From: Andrey Zaytsev Date: Thu, 11 Feb 2021 22:56:48 +0300 Subject: [PATCH] Inserting videos (#4254) --- .../Deep_Learning_Inference_Engine_DevGuide.md | 4 ++++ docs/IE_DG/supported_plugins/MULTI.md | 11 +++++++++-- .../MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md | 13 +++++++++++++ .../convert_model/Convert_Model_From_TensorFlow.md | 4 ++++ docs/how_tos/how-to-links.md | 1 - 5 files changed, 30 insertions(+), 3 deletions(-) diff --git a/docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md b/docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md index 25c14035144..72ae544e856 100644 --- a/docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md +++ b/docs/IE_DG/Deep_Learning_Inference_Engine_DevGuide.md @@ -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) + diff --git a/docs/IE_DG/supported_plugins/MULTI.md b/docs/IE_DG/supported_plugins/MULTI.md index a6b4aaefc9f..167c79b3c7e 100644 --- a/docs/IE_DG/supported_plugins/MULTI.md +++ b/docs/IE_DG/supported_plugins/MULTI.md @@ -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 -i -niter 1000 + +```sh +./benchmark_app –d MULTI:HDDL,GPU –m -i -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) + + ## See Also * [Supported Devices](Supported_Devices.md) + + diff --git a/docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md b/docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md index d2ae23ffa82..d1b274016bd 100644 --- a/docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md +++ b/docs/MO_DG/Deep_Learning_Model_Optimizer_DevGuide.md @@ -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) + + +## Video: Model Optimizer Basic Operation +[![](https://img.youtube.com/vi/BBt1rseDcy0/0.jpg)](https://www.youtube.com/watch?v=BBt1rseDcy0) + + +## Video: Choosing the Right Precision +[![](https://img.youtube.com/vi/RF8ypHyiKrY/0.jpg)](https://www.youtube.com/watch?v=RF8ypHyiKrY) + \ No newline at end of file diff --git a/docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md b/docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md index 7748206c36d..d8dbe33d217 100644 --- a/docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md +++ b/docs/MO_DG/prepare_model/convert_model/Convert_Model_From_TensorFlow.md @@ -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) + + ## Summary In this document, you learned: diff --git a/docs/how_tos/how-to-links.md b/docs/how_tos/how-to-links.md index 2f1840690ba..f263f22b5d2 100644 --- a/docs/how_tos/how-to-links.md +++ b/docs/how_tos/how-to-links.md @@ -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) - ## Computer Vision with Intel [![](https://img.youtube.com/vi/FZZD4FCvO9c/0.jpg)](https://www.youtube.com/watch?v=FZZD4FCvO9c)