46 lines
1017 B
Markdown
Executable File
46 lines
1017 B
Markdown
Executable File
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# Panel Enumeration
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This algorithm divides the tables and lists the panels of each of these tables.
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## Install requirements
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In the root project execute the following command to install all dependencies project
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```
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pip install -r requirements.txt
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```
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## Example
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View example
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```
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Enumeration_KML.ipynb
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```
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# Panel Classifier
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This algorithm uses the division of the panels to classify them individually if they are with any fault.
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## Train Model
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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.
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## Example
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View example
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```
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ClassifierPanel_KML.ipynb
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```
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## Classification Report
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| | Precision | Recall | F1-score | support | accuracy |
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|----------|-----------|--------|----------|---------|----------|
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| 0-Normal | 0.95 | 0.97 | 0.96 | 1688 | |
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| 1-Falla | 0.97 | 0.96 | 0.96 | 2084 | 0.96 |
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