detectree
Tree Segmentation Library
A Pythonic library for semantic tree segmentation from aerial imagery
Tree detection from aerial imagery in Python
243 stars
7 watching
32 forks
Language: Python
last commit: almost 2 years agoLinked from 2 awesome lists
image-segmentationpythonremote-sensingtree-canopytree-detectiontree-pixels
sacridini/awesome-geospatial
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 weecology/neontreeevaluation | A dataset and tools for evaluating tree detection algorithms on multisensor aerial imagery | 136 |
 shmh40/detectreergb | A repository containing scripts and notebooks to analyze tree crown delineation from RGB imagery and LiDAR data, including methods for analyzing mortality rates and carbon stocks. | 35 |
| martibosch/pylandstats | A Python library for analyzing landscape metrics and evolution | 83 |
 mitmul/ssai | An aerial imagery segmentation tool using deep learning techniques to identify buildings and roads from satellite images. | 27 |
 apburt/treeseg | Extracts individual trees from high-density lidar point clouds using machine learning and computer vision techniques | 216 |
 patball1/detectree2 | Automated tree crown delineation from aerial imagery using deep learning | 170 |
 bodokaiser/piwise | This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 384 |
 microsoft/aerial_wildlife_detection | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 |
 esa-philab/iris | A tool for manually segmenting images from satellite data with AI assistance | 141 |
 arthur-e/unmixing | Interactive tools for spectral mixture analysis of multispectral raster data | 109 |
 ignacio-rocco/detectorch | A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 557 |
 nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
 andrew-plowright/foresttools | A collection of R functions for analyzing and processing remote sensing forest data to detect and segment individual trees. | 68 |
| weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 529 |
 rhammell/planet-movement | An image processing module to identify and highlight object movement in Planet imagery by comparing pairs of images with overlapping regions | 20 |