Scripts for Training the Painless Panes Window Detection Model

If you haven't already, set up the Python environment before getting started following the instructions below. Once that is done, you can simply activate the Python environment using

poetry shell

and proceed through the following steps:

1. Follow the instructions in 01-data-generation/README.md to download and annotate your training data.
2. Follow the instructions in 02-model-training/README.md to run the model training.

Setting up the Python environment

Install the Python package manager Poetry by following the instrucions here.

Once that is installed, you can create the enviornment for the project by running

poetry install

in this directory.

Side note:

If creating a new poetry environment, you can install the CPU version of torch as follows:

poetry source add --priority=explicit pytorch-cpu-src https://download.pytorch.org/whl/cpu
poetry add --source pytorch-cpu-src torch torchvision torchaudio