I am research associate at the Institute of Human-Machine Communication, Technical University of Munich, with the aim of obtaining a doctorate (PhD).
Working on tasks related to cross-resolution face verification.
Repo for our Paper: Octuplet Loss: Make Your Face Recognition Model Robust to Image Resolution
License: MIT License
I am research associate at the Institute of Human-Machine Communication, Technical University of Munich, with the aim of obtaining a doctorate (PhD).
Working on tasks related to cross-resolution face verification.
Dear @Martlgap ,
first of all thank you for this magnificent work you have done. I wanted to ask you the steps I should take to achieve this face recognition with pytorch. I saw that in the github he released a python file that uses pytorch, I think it is the neural network. To implement everything and make it work what steps should I do starting from the 'pt_octuplet_loss.py' file.
Sorry for disturbing.
Thank you in advance for your reply.
hi Martlgap,
Your work was amazing. Are you willing to provide the dataset file ("/mnt/ssd2/test_embs.pkl") ? Meanwhile, the file seems contains both basic training data and downsimpled data, am I correct?
Thx
Dear @Martlgap ,
first of all thank you for this magnificent work you have done. I wanted to ask you two questions.
1.How many batches are there in one epochγ(I don't know how you generate minibatch. But I randomly selected different identity pictures as a minibatch, so I need to know this.)
2.Whether the resolution of low resolution pictures in one batch is random, or the resolution of low resolution pictures in one batch is the same, but different batches are different ?
Thank you in advance for your reply.
can you upload this file?
Thanks for your work
But I'm still puzzled about the data preprocessing for the pretrained face model. Apart from the finetuning process, is the data downsampling used to pretrain the face model?
Hello! Thank you for your work. Could you please provide the finetuned weights?
Hello, are you able to share code to generate embeddings database from our own dataset? So that we can use for inference?
Thanks!
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