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Fake images #71
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Fake images #71
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Should be a separate PR
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Upload as raw github user content or google drive and add via URL or download, to avoid bloat in repo. Same goes for all images.
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Add the tracking stuff as a separate PR
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separate out the tracking stuff
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Feedback on the notebook:
- instead of
for sample in dataset
, usedataset.iter_samples(autosave=True)
— it's faster - We have access to
filename
assample.filename
. You don't needos.path
here - make sure all images of the app are actually viewable, not blank or pixelating. Add as separate images like the butterflies
- For SD images, maybe use the Text-to-Image Plugin, or make a note about it? This would be more robust but achieve the same effect as your tagging with
"diffusion"
, as well as give transparency into the prompts - Why installing numba? It should be installed by default, right?
- for
compute_visualization()
,num_dims=2
is default,"emb"
is not a descriptive key, andverbose=True
isn't helpful if omitting outputs.
high level feedback:
- some motivation and conclusion would be helpful
- if you are using default model for embeddings, you should say what it is. Also probably worth showing a few models and seeing how things look in the dim reduced space, i.e. what each model picks up on.
Quick demo to show how to use embeddings to spot fakes