An Accurate Extraction of Facial Meta-Information Using Selective Super Resolution from Crowd Images
-
Updated
Jun 20, 2022 - Python
An Accurate Extraction of Facial Meta-Information Using Selective Super Resolution from Crowd Images
Python + Boto scripts used to create and process Amazon Mechanical Turk HITs for a recent paper, "Examining the use of Amazon’s Mechanical Turk for edge extraction of the occlusal surface of fossilized bovid teeth"
GPU Accelerated Crowd Simulation for 3D Models written in python
Atlasssian Crowd Integration
🚀 Atlassian Python REST API wrapper
Crowd Counting - From Real to Synthetic Datasets
Solution for voluntary tracking of masses of people, created as a project for "Multimedia Technologies" course 👥
Crowd Simulation using Social Force Model
Project for the masters course "Python in GIS" course during the summer term 2017
Website to classify tweets and humorous or not
Atlassian Crowd SSO integration for Django applications
Official implementation of "Regularizing neural networks for future trajectory prediction via IRL framework" published in IET CV
Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.
Control the quality of your labeled data with the Python tools you already know.
Toloka-Kit is a Python library for working with Toloka API.
Add a description, image, and links to the crowd topic page so that developers can more easily learn about it.
To associate your repository with the crowd topic, visit your repo's landing page and select "manage topics."