Apache Storm + OpenCV = large scale distributed image and video analysis.

Demonstration of Quividi real-time video demographics alongside reelyActive real-time BLE detection. We believe in an open Internet of Things.

A fork of the repository from the Dawn Group at Stanford

Tracking humans in live video.

A Storm-based deep learning framework specified for video analytics workloads.

Recomendation system based on user emotional portrait. Made for Hack The Media

This repository contains all the Deep Learning projects that I have developed/worked in the areas of Natural Language Processing and Computer Vision by using the deep learning frameworks such as tensorflow, opencv, keras, spacy and pytorch.

Demo Application of Serverless Video Analytics Workflow using Azure Functions, Logic App, and other multiple Azure Services

Still a work in progress DO NOT USE

A custom motion detection web app using OpenCV.js & OpenCV tutorials.

Models for frame-wise video regression

This is a prototype of a video analytics application which detects people in real time. 📹 👨

Python Script that performs search queries on YouTube, collects metadata, and exports to a CSV file for data analysis.

An end-to-end video analytic demonstration performing video analytics on edge devices and centralized system

This repository consists of 40+ Notebooks, explaining OpenCV Basics for a beginner.

A short research paper that investigates cheap frame filtering techniques to predict model drift in neural networks

Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models

Gender Classification Projects. My agenda for this project is to learn how to deploy a model on opencv.