Deep Learning Annotation Tool for Images and Image Sequences targeted for training Semantic Segmentation DNNs
-
Updated
Jun 25, 2022 - Python
Deep Learning Annotation Tool for Images and Image Sequences targeted for training Semantic Segmentation DNNs
A C++ accelerator extension of the rainfall-runoff SMART for Python
SEGM: Image Segmentation Library
Synthesize multi-scenario, multi-watershed outputs from process-based geospatial model WEPP (WEPPcloud) using this post-processing, interactive visualization, and analysis tool. A Shiny Web app implementation to assist in targeted management using WEPPcloud simulated outputs.
Using Python, a CSV lat/lng file generate USGS watersheds as GeoJSON files, which can be converted to Shapefiles
Application detecting sand particles on pictures from MER mission
Package R pour utiliser les données Géobs de l'OFB
A Python-based tool set for stream design, river restoration, and eco-hydraulic assessments.
The goal of this project is to perform the segmentation of some specific videos to separate background and foreground, extracting the silhouette of the object in the video, frame by frame, producing a video with the processed frames.
Python package to reconstruct a multimaterial nonmanifold surface mesh from 3D segmentation masks of tissues or nuclei
Demo of watershed hydrology using ArcGIS API for JavaScript 4.x
Cell segmentations using Stardist and Watershed method.
optimising the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges
Segmentação de Imagem com o Algoritmo de Watershed - Processamento de Imagens em GPU
Planning Nature-based Solutions (Plans2) is a modelling framework for planning the expansion of nature-based solutions in watersheds.
Add a description, image, and links to the watershed topic page so that developers can more easily learn about it.
To associate your repository with the watershed topic, visit your repo's landing page and select "manage topics."