As part of working through the first lesson with my own examples, I have created a package called duckgoose to streamline the manual process. The package
- downloads images from google images download for specific classes
- sanity checks that images can be opened and have three channels
- organises the images into separate folders (train/valid/test + classes) as expected by the fast.ai library
The package is installable via
pip install duckgoose.
The code is available on github: https://github.com/svenski/duckgoose.
The name comes from the first use, trying to differentiate between ducks and geese.
I don’t think it really fits in the fastai package, but I’d be happy to merge it into there if people feel differently.