Pinned Repositories
aerial_pc_classification
Segmentation of urban aerial point clouds with Deep Learning in Pytorch.
AHN3-dgcnn.pytorch
Semantic segmentation of AHN3 point clouds using a PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
AI-RemoteSensing
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
exactextract_qgis
QGIS plugin to calculate zonal statistics using exactextract library
raster_organiser
QGIS plugin to organize rasters
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
JakubCha's Repositories
JakubCha/exactextract_qgis
QGIS plugin to calculate zonal statistics using exactextract library
JakubCha/sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
JakubCha/AI-RemoteSensing
JakubCha/artemis_treescaling
Individual-tree attribute scaling from airborne laser scanning point clouds
JakubCha/auto-arborist
JakubCha/raster_organiser
QGIS plugin to organize rasters
JakubCha/ALSroads
Road corrections and measurements from ALS data
JakubCha/buteo
Buteo - Geospatial Analysis Meets AI
JakubCha/DPCR-AGB
This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
JakubCha/efficient-geopandas-workshop
Workshop materials for the Writing an efficient code for GeoPandas and Shapely in 2023
JakubCha/exactextract
Fast and accurate raster zonal statistics
JakubCha/geopython2023
JakubCha/GeoPythonWorkshop2023_SSL
This repository contains the codes for the GeoPython Workshop held in Basel, Switzerland on March 2023.
JakubCha/github_pages
JakubCha/HiSup
JakubCha/mapAI-regularization
Building boundary regularization on the MapAI dataset
JakubCha/Mapping-drainage-ditches-in-forested-landscapes-using-deep-learning-and-aerial-laser-scanning
This project aims to map small ditches from high resolution LiDAR data using deep learning
JakubCha/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
JakubCha/myria3d
Semantic segmentation deep learning for aerial, high density Lidar point clouds.
JakubCha/NASA-CMR-STAC
A list of geospatial datasets on NASA's Common Metadata Repository (CMR)
JakubCha/NGVEO
Deep learning for Earth Observation
JakubCha/Offset_graph_UNet
JakubCha/PanopticSegForLargeScalePointCloud_maciej
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
JakubCha/PolyGoneNMS
Distributed Polygon Non-Maximum Suppression Python Library
JakubCha/rpostgis
rpostgis: R Interface to a 'PostGIS' Database
JakubCha/SegmentAnyTree
JakubCha/silvimetric
JakubCha/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
JakubCha/vecnet
Vectorisation of road network
JakubCha/zero_to_gpt
Go from no deep learning knowledge to implementing GPT.