pybeach
Dune toe locator
A package to identify dune toes on 2D beach profile transects using various methods including machine learning and geometric calculations.
A Python package for locating the dune toe on cross-shore beach profile transects.
20 stars
7 watching
12 forks
Language: Jupyter Notebook
last commit: 10 months ago
Linked from 1 awesome list
chrisleaman/awesome-coastalRelated projects:
| Repository | Description | Stars |
|---|---|---|
 bodokaiser/piwise | This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 384 |
 tugstugi/pytorch-saltnet | A PyTorch implementation of a U-Net model for image segmentation tasks | 278 |
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,321 |
 forksociety/pybeacon | A Python package for scanning and advertising Eddystone-URL and Eddystone-UID. | 64 |
 edwardzhou130/polarseg | A PyTorch implementation of an online LiDAR point cloud segmentation neural network that provides near-real-time results | 382 |
 lopuhin/kaggle-dstl | An image classification project that uses a U-Net network to detect features in satellite imagery | 207 |
 oyam/pytorch-dpns | PyTorch implementation of a deep learning model for image segmentation | 90 |
 idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
 pytorchbearer/torchbearer | A PyTorch model fitting library designed to simplify the process of training deep learning models. | 636 |
 davidtvs/pytorch-enet | A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 392 |
 yassouali/pytorch-segmentation | Implementation of semantic segmentation models and datasets using PyTorch | 1,705 |
 ubiquityrobotics/fiducials | This system uses ceiling-mounted markers to help a robot determine its location and orientation | 270 |
 yannforget/pylandsat | A tool for accessing and preprocessing Landsat imagery from the Google Cloud dataset | 65 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
 martibosch/detectree | A Pythonic library for semantic tree segmentation from aerial imagery | 243 |