facenet-pytorch-glint360k
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A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Hello, I tried your pretrained model with the code in the readme file but I get the below error. If I only pass in 'img' to preprocess it works but...
Hi, I found the faces in your training and LFW test datasets are stretched. But from my perspective, if the trained model infers in normal aspect ratio faces, which may...
Hello, @tamerthamoqa! I have tried to download glint360k (unpacked) from google drive, but each time downloading fails in the middle due to network issues. Idk now why, but I have...
Hi @tamerthamoqa, Thanks a lot for such a fantastic repo which we could use for our work. I was recently working on building a Face verification system using Siamese network....
Hello @tamerthamoqa, I think there is an error in calculate_roc_values function with it comes to true_positive_rate, and false_positive_rate calculation, the mean should be calculated outside the loop, as we average...
Hello @tamerthamoqa, I am using this repo on a custom dataset, but I encountered some weird behaviour, every other metric constantly changes during epochs, but Precision always stays the same...