Files
Photovoltaic_Fault_Detector/GPS_Panel
Daniel Saavedra a16efbe1b3 Classifier
2020-12-01 22:42:41 -03:00
..
2020-11-02 18:55:35 -03:00
2020-11-25 16:03:59 -03:00
2020-12-01 22:42:41 -03:00
2020-12-01 22:42:41 -03:00
2020-11-18 03:05:29 -03:00
2020-11-25 16:03:59 -03:00
2020-11-18 03:05:29 -03:00
2020-11-25 16:03:59 -03:00
2020-12-01 22:42:41 -03:00
2020-12-01 22:42:41 -03:00
2020-11-02 18:55:35 -03:00

Panel Enumeration

This algorithm divides the tables and lists the panels of each of these tables.

Install requirements

In the root project execute the following command to install all dependencies project

pip install -r requirements.txt

## Example

View example 

Enumeration_KML.ipynb

# Panel Classifier
This algorithm uses the division of the panels to classify them individually if they are with any fault.

## Train Model 
In the Classifier folder there is the training of the model `` `Train_Classifier_DEEP_SVC.ipynb``` which is based on the union of a deep learning model pre-trained with Imagenet together with an SVM model.

## Example

View example

ClassifierPanel_KML.ipynb


## Classification Report


|          | Precision | Recall | F1-score | support | accuracy |
|----------|-----------|--------|----------|---------|----------|
| 0-Normal | 0.95      | 0.97   | 0.96     | 1688    |          |
| 1-Falla  | 0.97      | 0.96   | 0.96     | 2084    | 0.96     |