1557 Open source projects that are alternatives of or similar to Raster Vision

A curated list of resources focused on Machine Learning in Geospatial Data Science.

FrostNet: Towards Quantization-Aware Network Architecture Search

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

An interactive GUI for WhiteboxTools in a Jupyter-based environment

A flexible Python front-end inference SDK based on TensorRT

A collection of 300+ examples for using Earth Engine and the geemap Python package

This is an collection of blog posts turned into a course format

Sandbox for training deep learning networks

Deep Learning sample programs using PyTorch in C++

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Be Driven 🚘

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

geobits: ArUco Ground Control Point Targets and Detection for Aerial Imagery (UAV/MAV).

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Semantic Labeling in VHR Images via A Self-Cascaded CNN (ISPRS JPRS, IF=6.942)

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A list of popular deep learning models related to classification, segmentation and detection problems

An extension of Open3D to address 3D Machine Learning tasks

This repository contains the source code of our work on designing efficient CNNs for computer vision

High-level batteries-included neural network training library for Pytorch

An advanced geospatial data analysis platform

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Collection of computer vision models, ready to be included in a JVM project

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

deep learning for image processing including classification and object-detection etc.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

ArcGIS Python Toolbox for WhiteboxTools

A collection of Earth Engine Apps created using geemap, voila, and heroku

Earth Observation Data Access Gateway

Satellite image time series in R

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Distributed Scalable Geospatial Data Server

An open-source semi-automated processing chain for urban OBIA classification.

Tensorflow implementation : U-net and FCN with global convolution

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

A curated list of Google Earth Engine resources

A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and folium

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Satellite Image Classification using semantic segmentation methods in deep learning

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Gluon CV Toolkit

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.

The ROS Package of Mask R-CNN for Object Detection and Segmentation