Database system for AI-powered apps
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Updated
Apr 23, 2024 - Python
Database system for AI-powered apps
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Fall Detection using OpenPifPaf's Human Pose Estimation model
Video and Image Analytics for Multiple Environments
Demo on how to compute soccer ball possession automatically using AI.
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
Create a Video Membership app using FastAPI & NoSQL
Face recognition software to detect criminals in images and videos, noting their time of occurences.
Official Mux API wrapper for python projects, supporting both Mux Data and Mux Video.
Entropy and Memorability Based Video Summarization
VQPy: An object-oriented approach to modern video analytics
Python Script that performs search queries on YouTube, collects metadata, and exports to a CSV file for data analysis.
ROS package for multi-object tracking using Norfair.
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.
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
Code for paper "TLEE: Temporal-wise and Layer-wise Early Exiting Network for Efficient Video Recognition on Edge Devices"
Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models
Implementation of yoloV4 on video with opencv and python
Creating a Video Membership app using FastAPI & NoSQL
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