748 Open source projects that are alternatives of or similar to Robosat

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Twitter bot that posts videos showcasing how random locations in the world have changed since 1984.

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

Road Detection from satellite images using U-Net.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Satellite Imagery Feature Detection (68 out of 419)

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.

Data visualisation using OpenStreetMap objects

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

Multi-object image datasets with ground-truth segmentation masks and generative factors.

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

Interactive, thoroughly customizable maps in native Android powered by vector tiles and OpenGL

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Ground mobile data collection app for Android

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

A tool for GTFS transit and OSM pedestrian network accessibility analysis

Collections of model quantization algorithms

Satellite Stereo Pipeline

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Video Object Segmentation

Traffic-aware directions and map matching in Swift on iOS, macOS, tvOS, watchOS, and Linux

Awesome GAN for Medical Imaging

Fast and flexible Javascript library for working with OpenStreetMap data.

Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster.

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Text tokenization and sentence segmentation (segtok v2)

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

Scripts and a Docker container to maintain your own OpenStreetMap planet, terrain tiles, & Valhalla Tilepacks

DEPRECATED Part of osrm-backend since 5.7. NodeJS bindings for OSRM

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

cGAN-based Multi Organ Nuclei Segmentation

Open Source search based on OpenStreetMap data

MOTSFusion: Track to Reconstruct and Reconstruct to Track

Machine Vision Toolbox for MATLAB

Dstl Satellite Imagery Feature Detection

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Poly files for cities, which can be used to create OSM files out of larger regions

A PyTorch Implementation of MobileNetv2+DeepLabv3

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

Segmentation realize Deeperlab only segmentation part

No description or website provided.

A lexicon for Sudachi

Lung fields segmentation on CXR images using convolutional neural networks.

Implementation of MaskTrack method which is the baseline of several state-of-the-art video object segmentation methods in Pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Paper and implementation of UNet-related model.

Cycle oriented CartoCSS style.

World-wide CartoCSS port of Stamen's classic terrain style

Decode satellite signals on Raspberry PI or any other 64-bit intel.

Annotation of ECG signals using deep learning, tensorflow’ Keras

Keras implementation for Pointnet

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Convolutional (Patch) Networks for Semantic Segmentation

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.