-
Notifications
You must be signed in to change notification settings - Fork 71
Open
Description
The output varies too quickly to be interpreted well at times. An easy solution would be to take a 100 frames and print the average value of the predictions, but I was wondering how this would do against taking an average embedding of, say 100 frames, and run the prediction on that average image.
I try to get the embeddings of the images by storing the outputs of the final dense layer, however this slows down the system considerably. I notice that results = self.model.predict(face_imgs) however doesn't do so.
Is there a better way to achieve this?
Metadata
Metadata
Assignees
Labels
No labels