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Add initial version of 08-openvino#38

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allnes merged 2 commits into
embedded-dev-research:mainfrom
aobolensk:08-openvino
Nov 19, 2025
Merged

Add initial version of 08-openvino#38
allnes merged 2 commits into
embedded-dev-research:mainfrom
aobolensk:08-openvino

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\begin{frame}{What is OpenVINO?}
\begin{columns}[T,totalwidth=\textwidth]
\begin{column}{0.7\textwidth}
OpenVINO (Open Visual Inference and Neural Network Optimization)
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It's a little bit wrong - please write about different arch too

Comment thread 08-openvino/08-openvino.tex Outdated
\begin{itemize}
\item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators
\item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks
\item \textbf{Model formats (Frontends):} IR (\texttt{.xml/.bin}), ONNX (\texttt{.onnx}), TensorFlow (SavedModel/MetaGraph/frozen \texttt{.pb/.pbtxt}), TensorFlow Lite (\texttt{.tflite}), PaddlePaddle (\texttt{.pdmodel}), PyTorch (TorchScript/FX)
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please add extension for pytorch

Comment thread 08-openvino/08-openvino.tex Outdated

\begin{frame}{OpenVINO at a Glance}
\begin{itemize}
\item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators
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@allnes allnes Nov 3, 2025

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I would be to add arm and riscv as additional architecture and every item need to be with that arch

Comment thread 08-openvino/08-openvino.tex Outdated
\begin{frame}{OpenVINO at a Glance}
\begin{itemize}
\item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators
\item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks
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Model optimizer is legacy, now it's OVC (OpenVINO Model Converter - https://docs.openvino.ai/2024/notebooks/convert-to-openvino-with-output.html)

Comment thread 08-openvino/08-openvino.tex Outdated
\item \textbf{Purpose:} Optimize and deploy AI inference across Intel CPUs, GPUs, NPUs, and other accelerators
\item \textbf{Core components:} Model Optimizer, Runtime (Inference Engine), Post-Training Optimization Tool, Benchmark tools, Notebooks
\item \textbf{Model formats (Frontends):} IR (\texttt{.xml/.bin}), ONNX (\texttt{.onnx}), TensorFlow (SavedModel/MetaGraph/frozen \texttt{.pb/.pbtxt}), TensorFlow Lite (\texttt{.tflite}), PaddlePaddle (\texttt{.pdmodel}), PyTorch (TorchScript/FX)
\item \textbf{Targets:} CPU, iGPU, dGPU (e.g., Intel Arc), NPU, and more via plugins
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iGPU and dGPU are unite GPU plugin, you can decribe plugins or devices (ARM CPU, Intel CPU RISC_V cpu)

Comment thread 08-openvino/08-openvino.tex Outdated

\begin{frame}{Device Plugins Architecture}
\centering
\ovbox{gray!15}{\textbf{Application} (C++/Python)}\\[0.6em]
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I don't see frontends

@allnes
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allnes commented Nov 3, 2025

I would be to see:

  • how install
  • how build
  • API example (с++ + python) e.g. for yolov12
  • show examples (especially benchmark_app)
  • GenAI as a high level exercise

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@allnes addressed comments, please, take a look

@allnes allnes merged commit 76177c7 into embedded-dev-research:main Nov 19, 2025
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@aobolensk aobolensk mentioned this pull request Nov 19, 2025
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