A fork of the repository from the Dawn Group at Stanford
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Updated
Jul 9, 2017 - Python
A fork of the repository from the Dawn Group at Stanford
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.
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
Entropy and Memorability Based Video Summarization
Implementation of yoloV4 on video with opencv and python
Face recognition software to detect criminals in images and videos, noting their time of occurences.
Create a Video Membership app using FastAPI & NoSQL
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
ROS package for multi-object tracking using Norfair.
Creating a Video Membership app using FastAPI & NoSQL
Deep Learning based Facial Recognition which could be a use for AI-Proctored Examination to detect cheating by conducting facial analysis on an input image and input examination video of the candidate.
Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
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.
This task aims to create a simple web-based Video Analytics System (VAS) to analyze content from videos.
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