Simple image classification

It's a very simple example. Capture images from your webcam to classify them.

How to install

This script tested in ubuntu linux.

Linux use:

• zenity for popup message.

• streamer for get image from webcam

Clone the repository:

git clone https://github.com/Endika/webcam_classification_neuron
cd webcam_clarrification_neuron
pip install -r requirements.txt

How to work

Generate your dataset:

python generate_data.py [number_photos] [tag]

python generate_data.py 30 normal  # take 30 photos in normal form.
python generate_data.py 30 hand_ups  # take 30 photos in hand ups.

Before of them training de model

python training.py 60  # training model with dataset 60 epochs more or less. Epoch depend for your dataset.

And last go to predict

python prediction.py

This script take a new photo and predict the result. And hand_ups detect show de alert popup.

Custom the script to detect your's categories. When more categories training more epochs needs.