sigver
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luizgh
Signature verification package, for learning representations from signature data, training user-dependent classifiers.
I'm getting the error below with the example.py code and I'd like to know the possible cause.  I am using the following environment: python == 3.7 pytorch == 1.11...
Sir, after training WD classifier and meta learning can you tell us how to predict forgery or genuine for a single image
Dear Luis, Thank you for making this code publicly available. I do encounter an error while trying to train on the CEDAR dataset though, perhaps you could help me? The...
I noticed that you have mentioned " we normalized the input to the neural network by dividing each pixel by the standard deviation of all pixel intensities (from all images...
How exactly is the global and user threshold calculated? given the SVM decision function, do we use user-specific threshold for calculating probabilities?
Is transfer learning with using the pretrained signet model a good idea? Adding additional data which is specific to current application and updating the cnn model?
I was tried with Pre-trained models, > SigNet > SigNet-F lambda 0.95 with **Cosine similarity** between two image features (like: one genuine, one forgery signature). ``` feature1 = base_model(input1) feature2...
when I run the train.py in meta-learning, there is an error message(ModuleNotFoundError: No module named 'sigver.datasets.toremove'). It seems that a source file named "toremove.py" was missing in this repositories?
