Database system for AI-powered apps
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Updated
May 17, 2024 - Python
Database system for AI-powered apps
Fall Detection using OpenPifPaf's Human Pose Estimation model
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Video and Image Analytics for Multiple Environments
Face recognition software to detect criminals in images and videos, noting their time of occurences.
Demo on how to compute soccer ball possession automatically using AI.
Create a Video Membership app using FastAPI & NoSQL
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Entropy and Memorability Based Video Summarization
Official Mux API wrapper for python projects, supporting both Mux Data and Mux Video.
Python Script that performs search queries on YouTube, collects metadata, and exports to a CSV file for data analysis.
VQPy: An object-oriented approach to modern video analytics
Implementation of yoloV4 on video with opencv and python
The repository contains a reference end-to-end pipeline for a real-time video analytics application. Realtime data is provided to an inference endpoint that executes single shot object detection. The metadata created during inference is then uploaded to a database for curation.
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
ROS package for multi-object tracking using Norfair.
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.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
Models for frame-wise video regression
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