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"Prediction: Positive ==> True" #2
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Prediction: Positive ==> True" means: The model predicts image as Positive (the image is tampered) and the ground truth is also Positive. So the prediction is True. Prediction: Positive ==> False" means: The model predicts image as Positive (the image is tampered) but the ground truth is Negative. So the prediction is False. |
that means just use decision == 1 can know the image is tampered or not? |
(decision==1) ===> Positive ===> Tampered image |
Thank you |
Hi,
![image](https://user-images.githubusercontent.com/10113362/53789969-b81f9a80-3f60-11e9-80a7-8a722a12dc49.png)
i run the demo/compare-prediction.ipynb and i have no idea about
like "Prediction: Positive ==> True" it means the pic is authentic?
and "Prediction: Positive ==> False" it means the pic is tampering?
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