PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning

  • Stars
    star
    48
  • Rank 594,835 (Top 12 %)
  • Language
    Python
  • License
    GNU General Publi...
  • Created almost 5 years ago
  • Updated about 1 year ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
PratyushTripathy/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning
github

PratyushTripathy

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

global_flood_mapper

This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."
JavaScript
110
star
2

Landsat-Classification-Using-Neural-Network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
Python
71
star
3

Landsat-Classification-Using-Convolution-Neural-Network

Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
Python
47
star
4

pyrsgis

This repository cointains the source code of the 'pyrsgis' Python package.
Python
33
star
5

COINS

This repository contains the source code of the COINS tool that allows to deduce natural continuity of street network.
Python
21
star
6

python_gdal_automated_windows

This repository contains the script for automated download, installation and set-up of Python and GDAL.
Batchfile
15
star
7

Land-Cover-Using-Machine-Learning

This repository contains links to resources for land cover classification.
QML
5
star
8

Kathmandu_urban_growth_gwr

Jupyter Notebook
1
star