real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
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Updated
Jul 22, 2021 - Python
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Image segmentation - general superpixel segmentation & center detection & region growing
Superpixel Sampling Networks (ECCV2018)
Simple linear iterative clustering (SLIC) in a region of interest (ROI)
A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
Tinkering and Playing around!
Python implementation of the paper "A study on wrist identification for forensic investigation" https://www.sciencedirect.com/science/article/abs/pii/S0262885619300733
Segmentation Model for micrographs of hypoeutectoid steels, based on superpixels and textons, with an added ability to estimate the mean apparent interlaminar spacing of pearlite and the mechanical properties.
[TNNLS 2023] The official repo for the paper "Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification".
This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
Something to do with Math I think
大学本科毕业设计
Code to generate a hierarchy of semantic segments given an image and some points which need to be assigned to separate regions. This was my senior research project at the Thomas Jefferson High School for Science and Technology.
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