How to disable spam? about nsfw_model

[colindean]

According to this SO post, you should be able to pass verbose=0 in the args to model.predict(), which this library passes via the predict_args arg of classify(), e.g.

predict.classify(classify(model, input_paths, predict_args={verbose: 0})

If that works for you, please confirm and close this issue!

[ShamHyper]

Uh...
TypeError: classify() got an unexpected keyword argument 'predict_args'

My code:
result = predict.classify(model_nsfw, file_path, predict_args={verbose: 0})
And "verbose" is not defined.

[ShamHyper]

Idk... but after reading code of predict.py, I don't understand how these arguments are passed to keras, and why in your example, after predict.classify, there is another classify in parentheses

According to this SO post, you should be able to pass verbose=0 in the args to model.predict(), which this library passes via the predict_args arg of classify(), e.g.

predict.classify(classify(model, input_paths, predict_args={verbose: 0})

If that works for you, please confirm and close this issue!

It seems that the classify() function does not accept a predict_args parameter 😣

[colindean]

why in your example, after predict.classify, there is another classify in parentheses

Probably a copy paste error. Take out the second function call

[ShamHyper]

predict.classify(model_nsfw, file_path, predict_args={verbose: 0})

This right?

[colindean]

Looks to be, I can't try it right now

[ShamHyper]

Waiting for dev's answer..