There are 1 repository under openvino-toolkit topic.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Deep learning based object tracking with line crossing and area intrusion detection
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
Deep learning based gaze estimation demo with a fun feature :-)
This is a repository for a semantic segmentation inference API using the OpenVINO toolkit
Person or face detection and matching from multiple image inputs using Intel OpenVINO toolkit
Deep Learning Based Interactive Image Inpainting Demo
The Intel® Automated Self-Checkout Reference Package provides critical components required to build and deploy a self-checkout use case using Intel® hardware, software, and other open-source components.
Model Preparation Algorithm: a Transfer Learning Framework
Low latency resilient people detection and counting for edge devices
Use TensorFlow and PYXInput to create AI's for any video game
Deep learning based human pose estimation demo in Python using Intel OpenVINO toolkit
Describing How to Enable OpenVINO Execution Provider for ONNX Runtime
Official repository for the paper "Deploying a smart queuing system on edge with Intel OpenVINO toolkit" [Springer-2021]
This is Computer Pointer(Mouse Arrow) Controller using Eye Gaze, A Machine Learning based Project
OpenVINO™ Toolkit - Deep Learning Workbench repository Auxuliary Assets
Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there. https://youtu.be/PxbYqBZgbQE
Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.
This is a tiny Python class library to wrap and abstract the OpenVINO Inference Engine.
Object detection demo with adaptive partitioning to improve the detection rate
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Real-Time Face Anonymizer Algorithm using Intel OpenVINO
YOLOv5 inferencing using Intel Openvino toolkit
Treatise of Medical Image Processing (TMIP) v0.2.0
OpenVINO hands-on workshop contents (Japanese, 日本語版)
Simplified OpenVINO models Python implementation
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
Deep learning based Gaze Detection model to control the mouse pointer of your computer.
Demonstrate how to use ONNX importer API in Intel OpenVINO toolkit. This API allows user to load an ONNX model and run inference with OpenVINO Inference Engine.
Semantic segmentation demos - Object extraction and Background swapping
This is my solution and documentation to the people counter app project at Udacity and Intel Edge A.I. for IoT Developers Nanodegree program. The app can detect people in a live feed, saved video or image and return the number of people in the frame, average time spent people in the frame, and the total count of people detected. It also sends an alert to the UI when a person is detected in the video feed and another alert when the total number of people detected is more than five.
Intel DevCloud for the Edge hands-on workshop contents (Japanese, 日本語版)
Deep learning based pseudo stereo image generation demo using Intel(r) Distribution of OpenVINO(tm) toolkit