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Official repository for Self-restrained Triplet Loss for Accurate Masked Face Recognition
License: Other
Hello,
Can you provide 'ijbc_name_box_score_5pts.txt' used by evaluation/ijbc/FaceMasked.py plz. My version of IJB-C dataset doesn't have the exactly same file.
I am trying to reproduce the results using given EUM weights, Resnet100 pre-trained weights downloaded from https://github.com/deepinsight/insightface/tree/master/model_zoo and LFW mask type and colors given in LFW-log.txt. But my results are not as good as reported results.
Please provide the link of pre-trained model if you are using different model. Also provide the link of Resnet-50 and MobileNet weights links.
hello there! thank you so much for sharing your amazing work.
would you please assist me how can i prepare my own custom dataset and what should the the directory structure in order to call the main.py to start the training process?
thanks
Affan
Hello,
i tried to run evaluation on lfw. When i run align_lfw.py, it shows im missing 'shape_predictor_68_face_landmarks.dat'. Where can i get this file? thanks
Where can I download the model defined in face_model.py to preprocess the embedding of the input images? It seems that only the weights of fine-tuned cnn models are available for download in the repository. Thank you.
Can you please tell that model weights given in https://github.com/fdbtrs/Self-restrained-Triplet-Loss/tree/master/weights are the feature extractor weights or the weights of model proposed by you?
Are the pretrained models used for feature extraction trained under masked face dataset or normal ones?
I am unable to run the faceMasked.py file. Getting "1.jpg is not in the list" despite tried to re-install the logs of the IJB-C from the repo to the local notepad and also tried the copy - paste method on the downloaded log.txt file but couldn't getting the results.
Also, the log file is not in the sorted order unlike the Loose Crop folder images.
Is it due to the discontinued distribution of IJB datasets by the NIST?.
Please share python environment required packages in requirements.txt.
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