Comments (1)
here is the weight : https://github.com/d-li14/mobilenetv3.pytorch
from light-weight-face-anti-spoofing.
Related Issues (20)
- Question about your training details HOT 2
- training as multi-classification task, the result was poor.
- how to solve this problem? HOT 1
- how to use LCC_FASD dataset without cropping?
- openvino version
- No such file or directory: './logs/MobileNet3.pth.tar'
- When I run the code, I have a problem like this, can you help me?
- casia cefa train test labels HOT 1
- How to use resnet50 or other models to train the dataset? Thank you. HOT 2
- Running inference of trained model
- Model Classifies all brown or dark people as spoof HOT 1
- Can't run bash init_venv.sh HOT 1
- The confidence score HOT 1
- AttributeError: 'openvino.inference_engine.ie_api.IECore' object has no attribute 'read_network'
- Image normalisation while predicting in demo.py HOT 1
- Low accuracy on lcc-fasd
- Convert pytorch module to openvino HOT 1
- problem with face detector HOT 1
- hello i am getting error below HOT 1
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from light-weight-face-anti-spoofing.