A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

Last update: Feb 10, 2022

Overview

It Leaves A Trail

This repository contains a python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

Screenshots

All implementations are based on what I've learned from Digital Image Processing, 3rd edition Book by Rafael C. GONZALES and Richard E. Woods

License

MIT

Owner

tooraj taraz

experienced C developer, RUST lover, linux enthusiast and familiar with backend development(express.js, django, rocket)

GitHub Repository

Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels" Please refer to htt

1 Feb 14, 2022

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Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people and large animals, but not generate false alarms in the presence of small animals, changes in lighting, environmental motion such as trees, or melting snow. To work correctly, the system must learn the background, in order to differentiate foreground objects.

Intruder-Detection Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people a

4 Jul 18, 2021

A python scripts that uses 3 different feature extraction methods such as SIFT, SURF and ORB to find a book in a video clip and project trailer of a movie based on that book, on to it.

Related tags

Overview

It Leaves A Trail

Screenshots

License

Owner

tooraj taraz

Reference Code for AAAI-20 paper "Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels"

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