The System

Runs everything.

Requirements

• python3
• pip
• virtualenv

Setup

1. Clone this repo
2. Clone and the following repos within this repo and rename accordingly:
   • scanner
   • finder
   • classifier
3. Setup virtualenv venv
4. Activate
   • UNIX-based systems: . ./venv/bin/activate
   • Windows: . .\venv\Scripts\activate
5. Run sh setup.sh

At the end of the setup, you should have the following directory structure:

classifier/
finder/
input/
output/
scanner/
venv/
.gitignore
classify.py
config.py
README.md
setup.sh
train.py

Usage

train.py

1. Ensure the folder input/training exists and is full of images (in both .CR2 and .JPG format)
2. Run train.py to train the system

classify.py

1. Ensure that the system has been trained
2. Connect to the SD card's WLAN
3. Run classify.py
4. Take photos
5. Observe results in output/results.txt