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

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Crop/Weed Field Image Dataset

Text tokenization and sentence segmentation (segtok v2)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

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

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

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

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

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

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

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).

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

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

KiTS19——2019 Kidney Tumor Segmentation Challenge

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

Brings together information about OpenStreetMap tags and makes it searchable and browsable

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

cGAN-based Multi Organ Nuclei Segmentation

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Open Source search based on OpenStreetMap data

A self-hosted data logger for your Tesla 🚘

MOTSFusion: Track to Reconstruct and Reconstruct to Track

PyTorch Implementation of some RGBD Semantic Segmentation models.

Machine Vision Toolbox for MATLAB

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Dstl Satellite Imagery Feature Detection

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

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

C++ implementation pool for computer vision R&D projects.

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

Hand detection software built with OpenCV.

A PyTorch Implementation of MobileNetv2+DeepLabv3

Extracts coastline data from OpenStreetMap planet file.

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

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Segmentation realize Deeperlab only segmentation part

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

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PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

A lexicon for Sudachi

an open source geocoder for openstreetmap data

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

Interface to OpenStreetMap (load maps, extract road connectivity, plot road network & find shortest path)

Lung fields segmentation on CXR images using convolutional neural networks.

Resources for deep learning with satellite & aerial imagery

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

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

Pytorch framework for doing deep learning on point clouds.

Keras implementation for Pointnet

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

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Convolutional (Patch) Networks for Semantic Segmentation

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

An Implementation of Fully Convolutional Networks in Tensorflow.

The U-Net Segmentation plugin for Fiji (ImageJ)

Satellite imagery for dummies.

CartoCSS project focused on the Humanitarian Data Model

The code includes all the file that you need in the training stage for FCN