banknoteBrazil: Brazilian paper money

This repository contains a classification of Brazilian paper money.

Training image classification Brazilian paper money model

You can download the freely available datasets with the provided script (it may take a while):

$ sh app/src/data/download_validation.sh  

Requirements

Python 3.8 or later with all requirements.txt dependencies installed. To install run:

$ python -m pip install -r app/requirements.txt

Environments

BanknoteBrazil may be run in any of the following up-to-date verified environments (Python and PyTorch preinstalled):

• Codespace See Codespace
• VS Code See Vs Code

Train the network

You can train the network with the train.py script. For more usage information see this. To train with the default parameters:

$ python app/src/modeling/train_model.py

Evaluating the model

Also, you can evaluate the model against the validation set

$ python app/src/modeling/evaluate_model.py

Predicting the outputs

To predict the outputs of a trained model using some dataset:

$  python app/src/modeling/predict_model.py --file data/test/2reaisVerso/compressed_20_9551306.jpeg

Deploy on lambda container

Build the app Dockerfile:

docker build --pull --rm -f "app/Dockerfile" -t banknotebrazil:latest "app" 

Run the app of bankNote:

docker run -p 8080:8080 banknotebrazil:latest

Send send an (base64) image over a POST request:

curl --location --request POST 'http://localhost:8080/2015-03-31/functions/function/invocations' \
--header 'Content-Type: application/json' \
--data-raw '{
    "body": "image/jpeg;base64"  
}' 

Maintenance

This project is currently maintained by João Victor Calvo Fracasso and is for academic research use only. If you have any questions, feel free to contact joao.fracasso@outlook.com.

License

The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. We use our labeled dataset to train the scratch detection model.