Comments (3)
Hello!
Thank you very much for your interest in the library, and the excellent report!
You are actually right! In fact when I designed the high-level API, I only thought about single calls as I believe the for-loop use cases would be better achieved with the lower-level approach. Having said that, there is also no reason why the high-level API could not support for-loop cases as well.
I shall improve this, probably by allowing the users to inject an instantiated model object to the function, so that the model does not need to be re-created every time. Basically the same concept as you suggested.
Thanks again!
from opennsfw2.
Hello!
Please check out the latest release (0.12.0
), in which an internal global model will be used to avoid re-creating the model object every time, i.e., similar to what you have tried out. Kindly let me know if you find any issues.
Thanks!
from opennsfw2.
Indeed it works, thanks again!
from opennsfw2.
Related Issues (16)
- 'opennsfw2' has no attribute 'preprocess_image' HOT 1
- Uninstall HOT 1
- OpenNSFW in PyTorch HOT 2
- How to continue train the model? HOT 1
- Range for video prediction HOT 3
- Replace PIL with CV2 HOT 1
- Update to 0.11.0 causing exceptions HOT 6
- Problem with dm-tree dependency HOT 4
- Huge video memory footprint HOT 4
- sample output HOT 1
- Which NSFW Area is this AI covering? HOT 5
- module 'opennsfw2' has no attribute 'predict_images' HOT 3
- ERROR WITH NO ERROR HOT 7
- small demo website HOT 1
- Support for Mac M1 HOT 3
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