Underwater Point of View Camera Tag designed for marine data collection
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Updated
Sep 15, 2019 - Python
Underwater Point of View Camera Tag designed for marine data collection
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
Curated list of machine learning repositories available from the Monterey Bay Aquarium Research Institute
Performs the underwater image fusion algorithm to correct color balance and dehaze
Due to highly variying domain features of different underwater enviornment, the publically available datasets alone are not the best fit to train a deep learning algorithm to predict trash
Image restoration for deep-sea ROV underwater images and videos.
Dataset for semantic Segmentation of Underwater IMagery.
Optical flow pipeline to train a model able to predict flow in underwater scenarios
OpenCV implementation of image enhancement algorithms to enhance and filter underwater images.
Underwater image enhancement using image sharpening methods on google colab
Standalone Raspberry Pi, high-performing underwater action camera with audio-based interface or a web interface.
A Hybrid Framework for Underwater Image Enhancement
FFMPEG based docker image for extracting still images from video from timecodes, strides, etc. for labeling tasks. https://github.org/mbari-org/deepseat-frameextractor
Source code for the paper " Underwater image enhancement based on fusion of intensity transformation techniques" accepted as an oral at LARS/SBR 2022.
[TII 2024] An official implementation of ''A Novel Underwater Detection Method for Ambiguous Object Finding via Distraction Mining''
This repository contains the code implementation used in the paper: "Image Labels Are All You Need for Coarse Seagrass Segmentation"
System Implementation from 'Enhancing Underwater Images: Automatic Colorization using Deep Learning and Image Enhancement Techniques', 2023 IEEE International Conference on Marine Artificial Intelligence and Law (IEEE ICMAIL 2023).
Módulos de Pre-procesamiento de Imágenes para aplicaciones subacuáticas
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