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)
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
Image segmentation - general superpixel segmentation & center detection & region growing
Superpixel Sampling Networks (ECCV2018)
20x Real-time superpixel SLIC Implementation with CPU
Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.
Learning Superpixels with Segmentation-Aware Affinity Loss
Image processing Toolkit in R
PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
Implementation of the superpixel algorithm called SEEDS [1].
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.
Implementation of Image Processing Segmentation techniques and algorithms for Oil Spill detection in SAR images
Simple linear iterative clustering (SLIC) in a region of interest (ROI)
Extended version of the Berkeley Segmentation Benchmark [1] used for evaluation in [2].
A set of algorithms and other cool things that I learned while doing image processing with openCV using C++ and python.
Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)
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