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In the Chinese dataset I noticed that there is no bounding box annotations in the dataset, and the bounding box is set to 0 in the `dataset` class.
Can I assume that the bounding boxes(or could i sa…
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did you have the landmark tools which get landmark from a new photo
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Hello, David! First of all, thank you very much for sharing the pre-training model, which is very helpful to my learning.I just tested your new version of pre-training model (20180402-114759), but to …
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When evaluating the CASIA benchmark, I've encountered an issue that seems a bit unusual. In this project, the labeling convention is as follows:
Real/untampered images are labeled as negative or 0.…
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When inference, do I need to convert image to jpg format first? Thanks
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Hi, If I would like to apply the diversity selection methodology on Chinese SFT dataset (let's say Alpaca-cn-gpt4), can I simply change the model to a chinese-bert(https://huggingface.co/bert-base-chi…
nuoma updated
3 months ago
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Hi !
Did anyone trained the model using arcface loss and using the same code in train_softmax.py ?
I trained a model using the ArcFace loss using this bit of code :
```
prelogits, _ = network.in…
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Hi, @davidsandberg:
Recent paper [SphereFace: Deep Hypersphere Embedding for Face Recognition](https://arxiv.org/abs/1704.08063) introduces a new novel LOSS definition to the face recognition tra…
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When I run the train.py using the MS1M as training dataset, the Training Prec@1 and Training Prec@5 are always **0.000000**. Could anyone tell me why?
![image](https://user-images.githubusercontent.c…