From 29d5c4aa5ce5e8ab23dee5bb9f9b9c243ea20460 Mon Sep 17 00:00:00 2001 From: Alvaro Farias Date: Sun, 19 Jul 2020 18:21:23 -0400 Subject: [PATCH] =?UTF-8?q?=F0=9F=93=9D=20update=20readme?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- MLDataFlow.svg | 1 + README.md | 8 +++++--- 2 files changed, 6 insertions(+), 3 deletions(-) create mode 100644 MLDataFlow.svg diff --git a/MLDataFlow.svg b/MLDataFlow.svg new file mode 100644 index 0000000..1904155 --- /dev/null +++ b/MLDataFlow.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/README.md b/README.md index c24255a..134ae16 100755 --- a/README.md +++ b/README.md @@ -1,14 +1,19 @@ # Photovoltaic Fault Detector +[![License](https://poser.pugx.org/composer/spdx-licenses/license)](https://packagist.org/packages/composer/spdx-licenses) [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg)](CODE_OF_CONDUCT.md) [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. In [Web-API](https://github.com/RentadroneCL/Web-API) contains a performant, production-ready reference implementation of this repository. +![Data Flow](MLDataFlow.svg) + ## To do list: + - [x] Import model detection (SSD & YOLO3) - [x] Example use Trained Model - [x] Train and Evaluate Model with own data @@ -19,9 +24,6 @@ Model-definition is a deep learning application for fault detection in photovolt - [x] Model Other Fault Detection - [x] Model Fault Panel Disconnect - - - ## Requirements * Python 3.x