fastai_class_label_cleaning

# How do I start the fastai class label cleaner?

You can start it by executing
```
import ipywidgets
from fastai.vision.widgets import ImageClassifierCleaner
cleaner = ImageClassifierCleaner(learn)
cleaner
```

# How do I save the results of the cleaning process?
Assuming your dataset is structured with samples in folders
with the corrosponding class labels you can directly update your 
dataset by running 
```
for idx in cleaner.delete():
    cleaner.fns[idx].unlink()
```
to delete the items marked for deletion and running 
```
for idx, cat in cleaner.change():
    print(cat)
    print(cleaner.fns[idx])
    shutil.move(str(cleaner.fns[idx]), 'data/train/' + cat)
```
to move the files into the directory which matches their new label.
You will likely need to adjust the destination path in the `shutil.move` 
command.