Semantic Segmentation for Aerial Imagery using Convolutional Neural Network

Related tags

Deep Learningssai
Overview

This repo has been deprecated because whole things are re-implemented by using Chainer and I did refactoring for many codes. So please check this newer version: https://github.com/mitmul/ssai-cnn

Semantic Segmentation for Aerial Imagery

Extract building and road from aerial imagery

Requirements

Data preparation

$ bash shells/donwload.sh
$ python scripts/create_dataset.py --dataset multi
$ python scripts/create_dataset.py --dataset single
$ python scripts/create_dataset.py --dataset roads_mini
$ python scripts/create_dataset.py --dataset roads
$ python scripts/create_dataset.py --dataset buildings
$ python scripts/create_dataset.py --dataset merged

Massatusetts Building & Road dataset

  • mass_roads

    • train: 8458173 patches

      • epoch: 66079 mini-batches (mini-batch size: 128)

    • valid: 126281 patches

      • epoch: 987 mini-batches (mini-batch size: 128)

    • test: 440932 patches

      • epoch: 3445 mini-batches (mini-batch size: 128)

  • mass_roads_mini, mass_buildings, mass_merged

    • train: 1119872 patches

      • epoch: 8749 mini-batches (mini-batch size: 128)

    • valid: 36100 patches

      • epoch: 282 mini-batches (mini-batch size: 128)

    • test: 89968 patches

      • epoch: 703 mini-batches (mini-batch size: 128)

Create Models

$ python scripts/create_models.py --seed seeds/model_seeds.json --caffe_dir $HOME/lib/caffe/build/install

Start training

$ bash shells/train.sh models/Mnih_CNN

will create a directory named results/Mnih_CNN_{started date}.

Prediction

$ cd results/Mnih_CNN_{started date}
$ python ../../scripts/test_prediction.py --model predict.prototxt --weight snapshots/Mnih_CNN_iter_1000000.caffemodel --img_dir ../../data/mass_merged/test/sat --channel 3

Build Library for Evaluation

$ cd lib
$ mkdir build
$ cd build
$ cmake ../
$ make

Evaluation

$ cd results/Mnih_CNN_{started date}
$ python ../../scripts/test_evaluation.py --map_dir ../../data/mass_merged/test/map --result_dir prediction_1000000 --channel 3

Model averaging

$ python ../scripts/batch_evaluation.py --offset True
$ mkdir Mnih_CNN_Merged
$ cd Mnih_CNN_Merged
$ python ../../scripts/test_evaluation.py --map_dir ../../data/mass_merged/test/map --result_dir ./prediction_100000 --channel 3 --offset 0 --pad 31
Owner
Shunta Saito
Ph.D in Engineering, Researcher at Preferred Networks, Inc.
Shunta Saito
GitHub Repository http://www.slideshare.net/mitmul/building-and-road-detection-from-large-aerial-imagery/1
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and

Yu 1.4k Dec 30, 2022
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis documents. Bibliography, experiments and reports.

Erick Cobos 73 Dec 04, 2022
S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".

S-attack library: A library for evaluating trajectory prediction models This library contains two research projects to assess the trajectory predictio

VITA lab at EPFL 71 Jan 04, 2023
Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

GNet-pose Project Page: http://guanghan.info/projects/guided-fractal/ UPDATE 9/27/2018: Prototxts and model that achieved 93.9Pck on LSP dataset. http

Guanghan Ning 83 Nov 21, 2022
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron,

Pratul Srinivasan 65 Dec 14, 2022
Summary of related papers on visual attention

This repo is built for paper: Attention Mechanisms in Computer Vision: A Survey paper Vision-Attention-Papers Channel attention Spatial attention Temp

MenghaoGuo 2.1k Dec 30, 2022
ANN model for prediction a spatio-temporal distribution of supercooled liquid in mixed-phase clouds using Doppler cloud radar spectra.

VOODOO Revealing supercooled liquid beyond lidar attenuation Explore the docs » Report Bug · Request Feature Table of Contents About The Project Built

remsens-lim 2 Apr 28, 2022
A playable implementation of Fully Convolutional Networks with Keras.

keras-fcn A re-implementation of Fully Convolutional Networks with Keras Installation Dependencies keras tensorflow Install with pip $ pip install git

JihongJu 202 Sep 07, 2022
Segmentation models with pretrained backbones. PyTorch.

Python library with Neural Networks for Image Segmentation based on PyTorch. The main features of this library are: High level API (just two lines to

Pavel Yakubovskiy 6.6k Jan 06, 2023
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

Graph Contrastive Learning Automated PyTorch implementation for Graph Contrastive Learning Automated [talk] [poster] [appendix] Yuning You, Tianlong C

Shen Lab at Texas A&M University 80 Nov 23, 2022
Code for the paper "Learning-Augmented Algorithms for Online Steiner Tree"

Learning-Augmented Algorithms for Online Steiner Tree This is the code for the paper "Learning-Augmented Algorithms for Online Steiner Tree". Requirem

0 Dec 09, 2021
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

Understanding Hyperdimensional Computing for Parallel Single-Pass Learning Authors: Tao Yu* Yichi Zhang* Zhiru Zhang Christopher De Sa *: Equal Contri

Cornell RelaxML 4 Sep 08, 2022
Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Seulki Park 70 Jan 03, 2023
Automated Evidence Collection for Fake News Detection

Automated Evidence Collection for Fake News Detection This is the code repo for the Automated Evidence Collection for Fake News Detection paper accept

Mrinal Rawat 2 Apr 12, 2022
Fast and Simple Neural Vocoder, the Multiband RNNMS

Multiband RNN_MS Fast and Simple vocoder, Multiband RNN_MS. Demo Quick training How to Use System Details Results References Demo ToDO: Link super gre

tarepan 5 Jan 11, 2022
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

CatBoost 6.9k Jan 04, 2023
Adversarial vulnerability of powerful near out-of-distribution detection

Adversarial vulnerability of powerful near out-of-distribution detection by Stanislav Fort In this repository we're collecting replications for the ke

Stanislav Fort 9 Aug 30, 2022
A Kaggle competition: discriminate gender based on handwriting

Gender discrimination based on handwriting See http://fastml.com/gender-discrimination/ for description. prep_data.py - a first step chunk_by_authors.

Zygmunt Zając 22 Jul 20, 2022
code and data for paper "GIANT: Scalable Creation of a Web-scale Ontology"

GIANT Code and data for paper "GIANT: Scalable Creation of a Web-scale Ontology" https://arxiv.org/pdf/2004.02118.pdf Please cite our paper if this pr

Excalibur 39 Dec 29, 2022
Image Segmentation Animation using Quadtree concepts.

QuadTree Image Segmentation Animation using QuadTree concepts. Usage usage: quad.py [-h] [-fps FPS] [-i ITERATIONS] [-ws WRITESTART] [-b] [-img] [-s S

Alex Eidt 29 Dec 25, 2022