javier/Photovoltaic_Fault_Detector
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Daniel Saavedra
2020-07-17 15:18:35 -04:00
committed by GitHub
parent 4862211180
commit 02101cc458
1 changed files with 5 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@@ -3,7 +3,11 @@
[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md)
Rentadrone.cl
# Detection Models
[Rentadrone.cl](https://rentadronecl.github.io)
## Summary
Model-definition is a deep learning application for fault detection in photovoltaic plants. In this repository you will find trained detection models that point out where the panel faults are by using radiometric thermal infrared pictures, as well as a tutorial on how to use these algorithms in your own thermal photos. It also shows a step by step to train these models with its own database, in order to properly adjust the model to its particularity.