A short research paper that investigates cheap frame filtering techniques to predict model drift in neural networks
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Updated
Sep 21, 2020 - Jupyter Notebook
A short research paper that investigates cheap frame filtering techniques to predict model drift in neural networks
Main objective of this project is to monitor and check if person are maintaining social distancing
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
A Jupyter notebook demonstrating motion detection in videos using OpenCV techniques such as background subtraction and erosion, tailored for real-world applications.
A fork of the repository from the Dawn Group at Stanford
Apache Storm + OpenCV = large scale distributed image and video analysis.
A simple WordPress plugin for clearing WordPress oembed cache and disabling "Do Not Track" (dnt), on Vimeo embeds.
Tracking attendance of students from CCTV video photage.
Gender Classification Projects. My agenda for this project is to learn how to deploy a model on opencv.
YouTube Project Welcome to the YouTube Project repository! 🎥It is a collection of tools and scripts that enhance your YouTube experience.
Recomendation system based on user emotional portrait. Made for Hack The Media
Models for frame-wise video regression
A simple WordPress plugin for clearing WordPress oembed cache and disabling "Do Not Track" (dnt), on Vimeo embeds.
This repository includes all files for data analysis of Algebra and Trigonometry courses.
This task aims to create a simple web-based Video Analytics System (VAS) to analyze content from videos.
A Video analytics tool converting videos to M3U8 playlists using HLS and utilizing IBM Cloud APIs for speech-to-text transcription as well as gaining comprehensive and sentiment analysis of the transcription.
A custom motion detection web app using OpenCV.js & OpenCV tutorials.
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