Openvino sample videos github. A curated list of OpenVINO based AI projects.

Openvino sample videos github openvino Public Notifications You must be signed in to change notification settings Fork 1 Star 2 Apr 19, 2024 · OpenVINO. This repository contains sample applications for leveraging OpenVINO's Generative AI capabilities in various scenarios, including camera-based image analysis, video analysis, text-based Q&A, speech to text The oneAPI Video Processing Library (oneVPL) is a programming interface for video decoding, encoding, and processing to build portable media pipelines on CPUs, GPUs, and other accelerators. A curated list of OpenVINO based AI projects. This repository includes optimized deep learning models and a set of demos to expedite development of high-performance deep learning inference applications. Flexible Model Support: Use models trained with popular frameworks such Contribute to david-drew/OpenVINO-Samples development by creating an account on GitHub. Each sample contains instructions for: How It Works? Supported runtime customizations Building and running on Intel® DevCloud and your local Jul 15, 2024 · OpenVINO Version 2024. You'll see that the 'Audio Continuation' has been selected for you. We need to provide initialized model object and example of inputs for shape inference. g Jun 3, 2024 · @Septend-fun currently we do not support such a way of compiling quantized networks, or low precision int8 networks either. openvino Public Notifications You must be signed in to change notification settings Fork 1 Star 0 openvino-dev-samples / workshop. The applications don't have many configuration options to encourage the reader to explore and modify the Open Model Zoo demos are console applications that provide templates to help implement specific deep learning inference scenarios. g 📚 Jupyter notebook tutorials for OpenVINO™. Hello, I am following the sample Direct Consuming of the NV12 VAAPI Video Decoder Surface on Linux and try to build a model on the VASurface used in ffmpeg hardware decoder. A sample of Direct Consuming of the NV12 VAAPI Video Decoder Surface on Linux with ffmpeg. Contribute to openvinotoolkit/awesome-openvino development by creating an account on GitHub. We would like to show you a description here but the site won’t allow us. CCTV Real-time Person Detection and AI Analysis with OpenCV and OpenVINO for Surveillance - cinsua/cctv-human-detector The containerized refrence samples contain optimized deep-learning models pre-built with the Intel® Distribution of OpenVINO™ toolkit to do the inferencing on Intel® Core™ CPUs i3, i5, i7 and Xeons. We will use stable-video-diffusion-img2video-xt model as example. --no-cache AnimateDiff V3 Sample with OpenVINO This sample introduced a Text-to-Video (T2V) pipeline with model conversion and pipeline optimzaiton with OpenVINO runtime, the original pipeline AnimateDiff based on the official implementation of AnimateDiff [ICLR2024 Spotlight]. Optimized media, analytics, and graphics software stacks utilizing open source ingredients, with showcasing E2E samples. - likholat/openvino_quantization High quality . OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - Home · openvinotoolkit/openvino Wiki Nov 17, 2025 · Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel A simple OpenVINO Python sample code. 1 Model we converted in Lab2 - Optimize a Tensorflow* Object Detection Model - SSD with MobileNet. Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural language processing, recommendation systems and many other applic 1 of 3 tasks [Video Generation] Text2Video Pipeline category: cmake / build category: CPP API category: Image generation samples category: image generation category: Python API no-match-files #2991 opened last week by likholat • Draft 3 tasks Support EXAONE 4. You can point to the input image with the mouse, and the demo program shows the segmentation result on the image. cpp Cannot retrieve latest commit at this time. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K Implementing YOLOv10 object detection using OpenVINO for efficient and accurate real-time inference in C++. Connect TorchCompileDiffusionOpenVINO with Diffusion model and TorchCompileVAEOpenVINO with VAE model Run workflow. Nov 1, 2022 · System information (version) OpenVINO=> Latest pulled from git on 10/31/2022 Operating System / Platform => Ubuntu 20. cp Jun 5, 2025 · A robust, production-ready people counting system using OpenVINO, YOLOv6, MQTT, and Elasticsearch. The oneAPI Video Processing Library (oneVPL) is a programming interface for video decoding, encoding, and processing to build portable media pipelines on CPUs, GPUs, and other accelerators. The build will take about 5-10 minutes, depending on your system. Contribute to yas-sim/ae2100-openvino-samples development by creating an account on GitHub. 4. Follow their code on GitHub. The OpenVINO™ (Open visual inference and neural network optimization) toolkit provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference. Contribute to huggingface/blog development by creating an account on GitHub. Navigate to the directory where the benchmark_app C++ sample binary was built. This repo provieds OpenVINO Samples for Popular AIGC Applications, including model conversion and inference with OpenVINO runtime. Convert model to OpenVINO Intermediate Representation (IR) format. Sample videos for running inference. Check out model tutorials in Jupyter notebooks. 0 Operating System Other (Please specify in description) Device used for inference GPU Framework PyTorch Model used No response Issue description Using OpenVINO 2024. Feb 13, 2025 · Welcome to OpenVINO™, an open-source software toolkit for optimizing and deploying deep learning models. - microsoft/onnxruntime-inference-examples Mar 9, 2020 · Hi, Could you please give me an example of semantic segmentation in C++ on video? Thanks in advance These samples showcase the use of OpenVINO's inference capabilities for text generation tasks, including different decoding strategies such as beam search, multinomial sampling, and speculative decoding. NET development by creating an account on GitHub. 6. Unlike existing methods, which treat these components as independent, LTX-Video aims to optimize their interaction for improved efficiency and quality. It provides device discovery and selection in media centric and video analytics workloads and API primitives conda create -n openvino-env python=3. Some pipelines collect analysis data from several models being inferred simultaneously. Use these free pre-trained models OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino Contribute to intel/openvino-ai-video-retrieval-analysis development by creating an account on GitHub. -t: Name and optionally a tag in the name:tag format for easier identify our image. To test this, I did the simplest benchmark: matrix-vector multiplication (with dim 256). This sample shows how to use the oneAPI Video Processing Library (oneVPL) to perform a single and multi-source video decode and preprocess and inference using OpenVINO to show the device surface sh This repo contains information regarding cloud offerings of OpenVINO™ and demos to showcase OpenVINO™ via sample Jupyter notebooks. GitHub Gist: instantly share code, notes, and snippets. This solution detects any number of objects within a video frame looking specifically for known objects. OpenVINO™ samples include a collection of simple console applications that explain how to implement the capabilities and features of OpenVINO API into an application. com OpenVINO GenAI Samples C text_generation (GitHub) visual_language_chat (GitHub) whisper_speech_recognition (GitHub) To build OpenVINO samples, follow the build instructions for your operating system on the OpenVINO Samples page. 0; Build: 2025. It maps a sequence of audio spectrogram features to a sequence of Jul 5, 2024 · Additionally, I'd also expect chat_sample to work with the latest master. Welcome to the Build and Deploy AI Solutions repository! This repository contains pre-built components and code samples designed to accelerate the development and deployment of production-grade AI applications across various industries, including retail, healthcare, gaming, manufacturing, and more. 0 as IoT Libraries & Code Samples from Intel. Verify Output: If the sample runs successfully, it indicates that the oneAPI and oneVPL installation is functioning correctly. Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model. These samples showcase the use of OpenVINO's inference capabilities for text generation tasks, including different decoding strategies such as beam search, multinomial sampling, and speculative decoding. It is trained on 512x512 images from a subset of the LAION-5B database. This bot detects and counts unique people entering a defined Region of Interest (ROI) in a video stream, publishes live counts via MQTT, logs events to Elasticsearch, and exposes a REST API for integration and monitoring. OpenVINO™ GenAI is a library of the most popular Generative AI model pipelines, optimized execution methods, and samples that run on top of highly performant OpenVINO Runtime. These applications show how to preprocess and postrpocess data for model inference and organize processing pipelines. Contribute to david-drew/OpenVINO-Samples development by creating an account on GitHub. Audacity_audio OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino The Async API notebook demonstrates how to use the asynchronous API of OpenVINO for video processing. convert_model functionality to convert models. - microsoft/onnxruntime-inference-examples 📚 Jupyter notebook tutorials for OpenVINO™. Availability of sample videos to be used with OpenVINO™ toolkit. Contribute to openvinotoolkit/openvino_notebooks development by creating an account on GitHub. It requires no external dependencies to run generative models as it already includes all the core functionality (e. : This is the default option to look for a Dockerfile at the root of the build context. genai / samples / cpp / whisper_speech_recognition / whisper_speech_recognition. teaser # In this notebook, we introduce how to enable and optimize Wav2Lippipeline with OpenVINO. With the OpenVINO™ Toolkit from Intel, you can enhance the capabilities of both Intel and non This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model. The tutorial steps will guide you through downloading the latest Face Detection Tutorial from GitHub, walk you through the sample code and then compile and run the code on the the available hardware. Visual-language assistant with Phi3-Vision and OpenVINO The Phi-3-Vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. Open Model Zoo is in maintenance mode as a source of models. Learn how to run LLMs and GenAI with Samples in the OpenVINO™ GenAI repo. Contribute to intel/ros2_openvino_toolkit development by creating an account on GitHub. genai\\samples\\python\\speech_generation>python text2speech. g OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino Contribute to intel/ros2_openvino_toolkit development by creating an account on GitHub. c) The transformer model and the high-level C-style API are implemented in C++ (whisper. openvino Public Notifications You must be signed in to change notification settings Fork 4 Star 22 Sample Python Applications for DL Inference with OpenVINO - odundar/openvino_python_samples Build and Run a Sample: Download the oneVPL repository from GitHub. As for greedy_causal_lm. 0-17942-1f68be9f594-releases/2025/0 Operating System Windows System Device used for inference NPU Framework None Model used None Issue description When I build sample . h / whisper. Oki AE2100 OpenVINO sample codes. Dec 12, 2024 · Sample videos for running inference can be found on the Intel® IoT DevKit Sample Videos GitHub repository. OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino The core tensor operations are implemented in C (ggml. This project follows OpenVINO Cpp sample. At its core is Oct 11, 2024 · Performance issue description Hello, I am exploring the landscape of CPU inference, specifically for latency sensitive applications, and benchmarking various implementations. This demo supports following models from yformer/EfficientSAM GitHub repo: efficient-sam-vitt These examples demonstrate how to use Intel® OpenVINOTM integration with Tensorflow to recognize and detect objects in images and videos. As an alternative, you can get them from sites like Pexels or Google Images . Users can use the sample application video_e2e_sample to complete runtime performance evaluation or as a reference for debugging core A simple CPP code for loading IR converted network and getting inference for single image using Intel's toolkit Sample code also uses Caffe's binaryproto file. - intel/openvino-demos Download videos, audio, or images for use in the sample (in some cases, a camera will work). The results for each frame annotate the input video with boxes around detected objects with a label Segment Anything Model (SAM) interactive demo with OpenVINO Description This demo takes an image file and runs a SAM model using OpenVINO. Right now, at frontend stage we follow the OpenVINO flow; where all compute operations get high precision float inputs and outputs (fp32/f16) and only by presence of FakeQuantize layers or Convert->Multiply->Add layers in IR we insert quantization params of how operations This sample application demonstrates how a smart video IoT solution may be created using Intel® hardware and software tools to perform object detection with a pre-trained Tiny YOLO V3 model. We've also included a vsr_sample as a demonstration of its usage. 0 model category: llm_bench do_not_merge Contribute to intel/ros2_openvino_toolkit development by creating an account on GitHub. This model uses a frozen CLIP ViT-L/14 text encoder to condition the model on text prompts. py -- they weren't considered during integration, perhaps will be enabled in the future. In the current directory, run: OpenVINO™ GenAI is a library of the most popular Generative AI model pipelines, optimized execution methods, and samples that run on top of highly performant OpenVINO Runtime. Learn more about optimizing Wav2Lip is an approach to generate accurate 2D lip-synced videos in the wild with only one video and an audio clip. Run the sample, and provide it with paths to the model and media files. NOTE: If you installed OpenVINO Runtime using PyPI or Anaconda Cloud, only the This repository contains sample applications for leveraging OpenVINO's Generative AI capabilities in various scenarios, including camera-based image analysis, video analysis, text-based Q&A, speech to text OpenVINO™ GenAI is a library of the most popular Generative AI model pipelines, optimized execution methods, and samples that run on top of highly performant OpenVINO Runtime. Get started with OpenVINO™ Test Drive, an application that allows you to run generative AI and vision models trained by Intel® Geti™ directly on your computer or edge device using OpenVINO™ Runtime. h / ggml. Aug 1, 2022 · System information (version) OpenVINO => 2022. py and beam_search_causal_lm. cpp Various other examples are available in the examples folder The tensor operators are optimized OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino The OpenVINO™ (Open visual inference and neural network optimization) toolkit provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference. The above commands would build an image from a Dockerfile: docker build . - OpenVisualClou To use the C++ benchmark_app, you must first build it following the Build the Sample Applications instructions and then set up paths and environment variables by following the Get Ready for Running the Sample Applications instructions. It is designed to accommodate different AI inference backends, although currently, it only supports OpenVINO. It includes steps to download a video, compile a model for the NPU, and run inference in both synchronous and asynchronous modes. --build-arg: Set the build-time variables, in this case is package_url. face detection age/gender estimation people detection human pose estimation Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural language processing, recommendation systems and many other applic Automatic speech recognition using Whisper and OpenVINO with Generate API Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. It is a plug-and-play module turning most community models into animation generators, without the need of additional training. OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino Text-to-Image Generation with Stable Diffusion and OpenVINO™ Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. 2. To do this, click the end-point of the track, and go to 'OpenVINO Music Generation' from the Generators menu. Navigate to the oneVPL/examples/ directory. Please notice it may need an additional warm-up inference after switching new model. Add OpenVINO Node. Choose a sample and follow the instructions in the sample's README file to build and run it. Inference Optimization: Boost deep learning performance in computer vision, automatic speech recognition, generative AI, natural language processing with large and small language models, and many other common tasks. Contribute to sdcb/OpenVINO. 9 Contribute to intel/openvino-ai-video-retrieval-analysis development by creating an account on GitHub. OpenVINO also makes use of open-Source and Intel™ tools for traditional graphics processing and performance management. Intel® IoT has 101 repositories available. Stable Diffusion Sample: StableDiffusion The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tas OpenVINO™ samples include a collection of simple console applications that explain how to implement the capabilities and features of OpenVINO API into an application. This article applies to 1 products. This repo contains couple python sample applications to teach about Intel (R) Distribution of OpenVINO (TM). - Open Visual Cloud Run Generative AI models with simple C++/Python API and using OpenVINO Runtime In this lab, we are going to run a classification Python sample application with the optimized SqueezeNet v1. cpp Sample real-time audio transcription from the microphone is demonstrated in stream. - OpenVisualClou The following video demonstrates audio continuation, such that audio is generated into an existing track. 9-dev libpython3. We will use ov. For example, detecting a person in a video stream along The OpenVINO™ (Open visual inference and neural network optimization) toolkit provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference. In order to support the widely-used media Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it. g C++ and Python implementations of YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12, YOLOv13 inference. genai The Async API notebook demonstrates how to use the asynchronous API of OpenVINO for video processing. This is very useful in cases where you want to extend previously generated audio segments. LTX Video and OpenVINO™ LTX-Video is a transformer-based latent diffusion model that adopts a holistic approach to video generation by seamlessly integrating the responsibilities of the Video-VAE and the denoising transformer. Public repo for HF blog posts. Choose a model from predefined set of popular models or pick one from Hugging Face using Contribute to intel/intel-devcloud-samples development by creating an account on GitHub. The iVSR SDK is a middleware library that supports various AI video processing filters. 0 Problem classification => Build Issue Detailed description After building and installing Support users to quickly setup and adjust the core concurrent video analysis workload through configuration file to obtain the best performance of video codec, post-processing and inference based on Intel® integrated GPU according to their product requirements. cpp) Sample usage is demonstrated in main. Audacity_audio Run Generative AI models with simple C++/Python API and using OpenVINO Runtime - openvinotoolkit/openvino. 9 -y conda activate openvino-env sudo apt-get install python3. Get started with the OpenVINO GenAI installation and refer to the detailed guide to explore the capabilities of Generative AI using OpenVINO. NET wrapper for OpenVINO™ toolkit. Wav2Lip leverages an accurate lip-sync “expert” model and consecutive face frames for accurate, natural lip motion generation. This library is friendly to PC and laptop execution, and optimized for resource consumption. For example, detecting a person in a video stream along openvino. You must have a model that is specific for your inference task. 0. OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino openvino-dev-samples / aipc. Contribute to intel-iot-devkit/sample-videos development by creating an account on GitHub. The Python samp Aug 15, 2025 · test2speech sample run fail with GPU , but pass on CPU openvino. For a detailed introduction to the iVSR SDK API, please refer to this introduction. In this tutorial we consider how to convert and run Stable Video Diffusion using OpenVINO. This repository will demostrate how to deploy a offical YOLOv7 pre-trained model with OpenVINO runtime api Contribute to david-drew/OpenVINO-Samples development by creating an account on GitHub. openvino Public Notifications You must be signed in to change notification settings Fork 1 Star 2 openvino-dev-samples / chatglm3. See full list on github. Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural language processing, recommendation systems and many other applic Mar 25, 2025 · OpenVINO Version OpenVINO Runtime Version: 2025. The applications don't have many configuration options to encourage the reader to explore and modify the Welcome to the Ultralytics YOLOv8 OpenVINO Inference example in C++! This guide will help you get started with leveraging the powerful YOLOv8 models using the Intel OpenVINO™ toolkit and OpenCV API in your C++ projects. py speecht5_tts --device GPU "This example demonstrates how to use the open conda create -n openvino-env python=3. Example model types are: You can use one of the following options to find a model suitable for OpenVINO: The OpenVINO™ samples are simple console applications that show how to utilize specific OpenVINO API capabilities within an application. This sample shows how to use the oneAPI Video Processing Library (oneVPL) to perform a single and multi-source video decode and preprocess and inference using OpenVINO to show the device surface sh… OpenVINO provides several sample images and videos for you to run code samples and demo applications: To run the sample applications, you can use images and videos from the media files collection available here . 0 Operating System Windows System Device used for inference NPU Framework None Model used No response Issue description I do not get any devices listen when using the C++ hello query device sample. I would like to understand why OpenVINO is slow for this benchmark -- what am I doing wrong? I ran following files, each with This tutorial examines a sample application that was created with the OpenVINO™ toolkit. It points to the OpenVINO dev packages directly from public storage. Learn the details on the workflow of Intel® Distribution of OpenVINO™ toolkit, and how to run inference, using provided code samples. ¶ For best results with OpenVINO, it is recommended to convert the model to OpenVINO IR format. They can assist you in executing specific tasks such as loading a model, running inference, querying specific device capabilities, etc. Each sample has a specific focus and demonstrates a unique aspect of text generation. 04. openvino-dev-samples / glm-edge. View on GitHub OpenVINO GenAI Text Generation Samples These samples showcase the use of OpenVINO's inference capabilities for text generation tasks, including different decoding strategies such as beam search, multinomial sampling, and speculative decoding. - GitHub - taifyang/yolo . Contribute to openvino-dev-samples/qwen2-openvino-workshop development by creating an account on GitHub. May 23, 2025 · Prepare a standard workflow in ComfyUI. By leveraging Intel® OpenVINO™ toolkit and corresponding libraries, this runtime framework extends workloads across Intel® hardware (including accelerators) and maximizes Examples for using ONNX Runtime for machine learning inferencing. Whether you're looking to enhance performance on Intel hardware or add flexibility to your applications, this example provides a solid foundation. 1 Operating System / Platform => Windows 64 Bit Compiler => Visual Studio 2022 Problem classification: sample code runtime issue Model name: squeezenet The following video demonstrates audio continuation, such that audio is generated into an existing track. 4 LTS Compiler => gcc 9. But I encounterd some e These samples showcase the use of OpenVINO's inference capabilities for text generation tasks, including different decoding strategies such as beam search, multinomial sampling, and speculative decoding. js Bindings Examples of Usage Install To run samples, install dependencies first When you use the openvino release branch, install dependencies before running samples. OpenVINO™ is an open source toolkit for optimizing and deploying AI inference - openvinotoolkit/openvino OpenVINO™ toolkit includes a set of inference code samples and application demos showing how inference is run and output processed for use in retail environments, classrooms, smart camera applications, and other solutions. Contribute to FionaZZ92/OpenVINO_sample development by creating an account on GitHub. With its 860M UNet and 123M The ad-insertion reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for intelligent server-side ad insertion. 9 OpenVINO™ Node. It provides device discovery and selection in media centric and video analytics workloads and API primitives Jan 7, 2025 · OpenVINO Version 2024. fcbvt tlv ffd sqpjui ywkzicf xwonz zfwou xqqp pbdyeyf fzyzh wylyax rgfwa efyi qsdjc yypizi