wajihullahbaig
wajihullahbaig
You don't assume, you extract features. Once you have the minutiae, you need to perform a matching on the minutiae lists. For example, you can use the minutiae lists to...
@luannd please let me know too when you publish the paper.
Not by chance, but I do know a few resources I can point you to. 1- You will need to fiddle with the code a bit to git it running,...
Thanks for the paper. It's Awesome! On Tue, 1 Jan 2019, 18:16 Dinh-Luan Nguyen Hi all, > > Here is our *NEW* paper *"End-to-End Latent Fingerprint Search"*: > https://arxiv.org/pdf/1812.10213.pdf >...
> @wajihullahbaig yup! in linear attention, you do this with a cumulative sum instead of the triangular mask! Much appreciated for the reply! Thanks!
> This is because we have a target sequence, `trg`, of something like `[, A, B, C, ]`. We want our decoder to predict what the next item in the...
> For anyone who'll find this in future, `output, _ = model(src, trg[:,:-1])` seems to no longer be there, but the decoder loop in the `Seq2Seq` class starts from 0...
When the code is tested, the initial state must be same for every test. Otherwise you will never know what happened during any parameter tuning. Therefore to ensure a fixed...
What happens is that for a random initial state with fixed seed, the training/testing batches are always selected the same. This keeps the testing consistent. If you change kernel size,...
@allinjoe If you want to test it on real data. You still need training and testing. Say you have 800 samples. You give 600 for training and 200 for testing...