AceVINOtura is an application that detects bad cats that are used to jump on forbidden areas such as kitchen counter, dining table and more. the application can be used to detect all of these bad cats as well as differentiate them from good one.
AI Edge Projects
Run OpenVino models on various device on IntelDev cloud and find out the best possible devices for each scenario.
Explore the OpenVINO toolkit, focusing on components like model zoo, inference engine, and model optimizer, and how they can be used to perform deep learning and computer vision tasks.
OpenVINO project to count the number of people in a video frame
It is Python3 app, made with the use of Intel OpenVino and Intel DevCloud. It aims at developing a system which alerts when the number of people in the given queue exceeds a designed value
Intel® Edge AI for IoT Developers Nanodegree Program-project 2
Docker Files for Openvino with OpenCV
The people counter application demonstrates how to create a smart video IoT solution using Intel® hardware and software tools. The app will detect people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count. This project is a part of Intel Edge AI for IOT Developers Nanodegree
This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors
Deep learning based pseudo stereo image generation demo using Intel(r) Distribution of OpenVINO(tm) toolkit
Semantic segmentation demos - Object extraction and Background swapping
Person or face detection and matching from multiple image inputs using Intel OpenVINO toolkit
This is a tiny Python class library to wrap and abstract the OpenVINO Inference Engine.
Intel DevCloud for the Edge hands-on workshop contents (Japanese, 日本語版)
Object detection demo with adaptive partitioning to improve the detection rate
Project #2 for Intel's Udacity Nanodegree Program, using Intel's OpenDev Cloud for benchmarking different use case scenarios for deploying OpenVino on edge devices
Low latency resilient people detection and counting for edge devices
Add a description, image, and links to the openvino-toolkit topic page so that developers can more easily learn about it.
To associate your repository with the openvino-toolkit topic, visit your repo's landing page and select "manage topics."