README

Author: Alessandro Manzi & Jaeseok Kim

Example taken from http://www.pyimagesearch.com/2016/08/01/lenet-convolutional-neural-network-in-python/

Download dataset

wget https://www.dropbox.com/s/adph9zgh9ilpg1b/augmented_2classes_carton_plastic.zip?dl=0

• change file name

mv augmented_2classes_carton_plastic.zip?dl=0 augmented_2classes_carton_plastic.zip

*Then, extract the zip file into data_augmentation

unzip augmented_2classes_carton_plastic.zip

Training

• PC should be installed Keras with Tensorflow!
• Move into LeNet Centauro folder
• To train and save:

python augmented_lenet_centauro.py --save-model 1 --weights output/lenet_centauro_weights.hdf5 

• To load a model:

python augmented_lenet_centauro.py --load-model 1 --weights output/lenet_centauro_weights.hdf5

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Some Utils used in the past to manage images

Now it is somewhat deprecated, because you can use the ImageGenerators from Keras

• to simply rename images in progressive number:

    convert '*.png' resized%02d.png

• to resize all the images:

    for file in *.png; do convert $file -resize 180x180! $file; done
    

Reference

Kim, Jaeseok, Olivia Nocentini, Marco Scafuro, Raffaele Limosani, Alessandro Manzi, Paolo Dario, Filippo Cavallo "An Innovative Automated Robotic System based on Deep Learning approach for Recycling Objects." In: 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019).