The aim of this project is creating a tool to automatically detect web compatibility issues without human intervention.
- The collect.py script collects screenshots of web pages in different browsers;
- The label.py script is a utility that helps labelling couples of screenshots (are they the same in the two browsers or are there differences?);
- The utils.py script contains some utility functions;
- The network.py script contains the neural network definition, along with the loss and accuracy;
- The pretrain.py script trains a neural network on the website screenshots for a slightly different problem (for which we know the solution), so that we can reuse the network weights for the training on the actual problem;
- The train.py script trains the neural network on the website screenshots to detect compat issues.
Python 3 is required.
- Install the dependencies in requirements.txt:
pip install -r requirements.txt. - Run the get_dependencies.py script.
Real-time communication for this project happens on Mozilla's IRC network, irc.mozilla.org, in the #webcompat channel.