Skip to content

Deep Learning Classifier to detect forest growth in setellital image series.

License

Notifications You must be signed in to change notification settings

fjprobos/ForestGrowth-RemoteSensing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Forest Growth Repository - Francisco Proboste Udacity Machine Learning Engineer Nanodegree ==============================================

Please, to be able to run this project please consider 1-Install packages included in the yml file that comes in this repository 2-Download the trainning, validation, testing and benchmark images from: https://drive.google.com/file/d/1TR_h-k1-QYHYEOamViaetNLypDqkF38i/view?usp=sharing 3-Decompress the folders with its images inside the folder lib/data/fotos_remote_sensing 4-Run the Jupyter notebook main_train.ipynb located in the root folder of this repo 5-KML files with the polygons are not necessary as the images come already labeled

Please enjoy


The repo structure was taken from:

http://www.kennethreitz.org/essays/repository-structure-and-python.

If you want to learn more about setup.py files, check out this repository.

✨🍰✨

About

Deep Learning Classifier to detect forest growth in setellital image series.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published