A sophisticated system designed for precise object detection within user-defined regions of interest (ROI)

AI software for X-ray fluorescence imaging regions of interest detection.

A Region of Interest mask and Color Selection over Lane Lines

Matlab scripts for analyzing calcium imaging data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)

FlexiBlur is a Python GUI application that lets users apply various blur effects to images and videos. It supports simple and advanced blur techniques, including custom settings for motion and radial blurs. Designed for systems with OpenCV, FlexiBlur provides a user-friendly interface for easy and efficient media processing.

JASOn_Extraction_Points and using these points Polygon drawn on video and only those region shown Optical Flow.

Spatial Data Visualization

Create region of interest from frames and vehicle detection

Unofficial implementation of the EmotionROI essay and extended applications

Prediction of DME eye disease

Push features to OSM taked from satellite images.

Region of Interest detection on satellite images for weather changes

Finding Lane Lines

Preprocessing images with focus on segmentation of CT slices

Official repository of "Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data"

Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling

A library of trajectory region of interest mining algorithms

A simple yet effective approach to detecting visual anomalies

Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)