Topic: aerial-imagery Goto Github
Some thing interesting about aerial-imagery
Some thing interesting about aerial-imagery
aerial-imagery,Semantic Segmentation of Aerial Images
User: alpemek
aerial-imagery,A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
User: amirhosseinh77
aerial-imagery,[CVPR'W19-Oral] Official repository for "iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images"
Organization: captain-whu
Home Page: https://captain-whu.github.io/iSAID/
aerial-imagery,A collection of some awesome public object detection and recognition datasets.
User: codingonion
aerial-imagery,Official code of the paper "ReDet: A Rotation-Equivariant Detector for Aerial Object Detection" (CVPR 2021)
User: csuhan
Home Page: https://redet.csuhan.com
aerial-imagery,A simple yet highly configurable Mastodon/Twitter bot that posts geotagged aerial imagery of a random location in the world.
User: doersino
Home Page: https://botsin.space/@aerialbot
aerial-imagery,Mastodon/Twitter bot that posts videos showcasing how random locations in the world have changed since 1984.
User: doersino
Home Page: https://twitter.com/earthacrosstime
aerial-imagery,Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
User: doersino
aerial-imagery,A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler
Organization: doodleverse
aerial-imagery,DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
Organization: dronebridge
Home Page: http://wolfgangchristl.de/2017/not-just-another-drone-project/
aerial-imagery,This is a fully convolutional neural net exercise to detect houses from aerial images.
User: emredog
aerial-imagery,Codebase of ACL 2023 Findings "Aerial Vision-and-Dialog Navigation"
Organization: eric-ai-lab
Home Page: https://sites.google.com/view/aerial-vision-and-dialog/home
aerial-imagery,
User: fyangneil
aerial-imagery,UAV related Remote Sensing Toolbox
User: gisma
Home Page: https://gisma.github.io/uavRst
aerial-imagery,[ICRA 2024 Best UAV Paper Award Finalist] An Efficient Gloabl Planner for Aerial Coverage
Organization: hkust-aerial-robotics
Home Page: https://hkust-aerial-robotics.github.io/FC-Planner/
aerial-imagery,[ICRA 2023] A Prediction-boosted Planner for Fast and High-quality Autonomous Aerial Reconstruction
Organization: hkust-aerial-robotics
aerial-imagery,Trans DOTA OBB format(poly format) to YOLO format.
User: hukaixuan19970627
aerial-imagery,yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测
User: hukaixuan19970627
aerial-imagery,Official Implementation of Deep Aerial Image Matching using PyTorch
User: jaehyunnn
aerial-imagery,White Vest is a project for collecting, logging, emitting, and visualizing telemetry from a model rocket containing an inboard Raspberry Pi Zero with an Arduino receiving telemetry.
User: johnjones4
Home Page: https://johnjonesfour.com/2020/10/03/model-rocket-telemetry-part-1/
aerial-imagery,TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
Organization: kitware
aerial-imagery,Scripts to process aerial imagery
User: kritiksoman
aerial-imagery,Serverless high-resolution aerial imagery map tiles from Cloud-Optimized GeoTIFFs for the U.S.
User: kylebarron
Home Page: https://kylebarron.dev/naip-cogeo-mosaic
aerial-imagery,Wind Turbine Object Detection from Aerial Imagery Using TensorFlow Object Detection API and Google Colab
User: lbborkowski
aerial-imagery,NZ Aerial imagery freely available to use under an open licence
Organization: linz
Home Page: s3://nz-imagery
aerial-imagery,Deep Aerial Image Recognition
User: liuziwei7
aerial-imagery,This project focuses on development of an algorithm for Template Matching on aerial images by implementing classical Computer Vision based techniques and deep-learning based techniques.
User: m-hamza-mughal
aerial-imagery, Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Organization: mapbox
aerial-imagery,Tools for detecting wildlife in aerial images using active learning
Organization: microsoft
aerial-imagery,Project to train/evaluate convolutional neural networks to count cars from COWC aerial images
User: motokimura
aerial-imagery,This repository for training tensorflow models. Dataset based on Vehicle Detection in Aerial Imagery (VEDAI)
User: mr8bit
aerial-imagery,Python coding that takes images acquired using a Near-Infrared (NIR) converted camera and generates a modified Normalized Differential Vegetation Index (NDVI). Contains standalone with colorbar legend and batch versions. ENDVI and SAVI Indexes also available and with greyscale options.
User: muonray
aerial-imagery,orthoimage_software_collection
User: natowi
aerial-imagery,vedai dataset for darknet
User: nikitalpopov
aerial-imagery,A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Organization: opendronemap
Home Page: https://opendronemap.org
aerial-imagery,OrthoSeg makes it easy to train neural networks to segment orthophotos.
Organization: orthoseg
aerial-imagery,Framework for aerial imagery localization using different VPR systems
Organization: prime-slam
aerial-imagery,Planetary rendering engine and aerospace simulation tools
Organization: prograda
aerial-imagery, 🛰 An index of aerial and satellite imagery useful for mapping
Organization: rapideditor
Home Page: https://ideditor.github.io/imagery-index/index.html
aerial-imagery,Detect objects in drone videos and plot them on a map
Organization: roboflow
Home Page: https://blog.roboflow.com/georeferencing-drone-videos/
aerial-imagery,Affordable Digital HD Video Transmission made easy!
User: rodizio1
aerial-imagery,Replay a video in sync with a gps track displayed on the map.
User: sagost
aerial-imagery,A Qgis plugin, synch and display on map a video with a gps track. Fill Geographic Database with information and snapshot. Extract video frame with associated UTM coordinates for rapid photogrammetry use..
User: sagost
aerial-imagery,Classifying the type of property given Real Estate, satellite and Street view Images
User: sardhendu
aerial-imagery,This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
Organization: sjtu-thinklab-det
aerial-imagery,Orthomosaic image stitching in realtime for drone based SLAM using a single downward facing camera
User: textzip
Home Page: https://textzip.github.io/posts/Orthomosaic-SLAM/
aerial-imagery,Segmentation of urban aerial point clouds with Deep Learning in Pytorch.
User: theobdt
aerial-imagery,Unstructured Change detection in satellite imagery
User: vbhavank
aerial-imagery,A U-net based ConvNet for NZ imagery to classify building outlines.
User: weiji14
aerial-imagery,Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
User: wgcban
Home Page: https://www.wgcban.com/research/spin-road-mapper
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.