Comments (2)
Hi @HOMGH and @rommeldias
in case you are using pytorch, you can have a look at my re-implementation. It is easier to setup than mxnet.
Best,
Jan
from faceimagequality.
Hi,
Same problem here. What version of both CUDA and mxnet should we install?
Thanks.
from faceimagequality.
Related Issues (20)
- Why use batch normalization and L2 normalization in SERFIQ? HOT 1
- serfiq_example.py result? HOT 2
- 关于实际使用情况的一些反馈意见 HOT 1
- error versus reject curves HOT 1
- Training from Scratch HOT 2
- In the SER_FIQ(on top) model what does nemb signify? HOT 3
- How to Make .npy File? HOT 1
- About pre_fc1_weights.npy&pre_fc1_bias.npy HOT 1
- Most useless/misleading paper ever released | don't waste your time HOT 1
- 模型车前向传播速度太慢了吧? HOT 1
- The value is not distinguishable HOT 5
- SERFIQ is not working correctly HOT 2
- How to train the model with binary cross-entropy? HOT 5
- The model works ONLY on MTCNN aligned faces HOT 2
- Plots in the Paper HOT 5
- libcudnn.so.7: cannot open shared object file: No such file or directory HOT 1
- cannot import name 'ImageRecordInt8Iter' from 'mxnet.io.io'
- The ser-fiq score is not right HOT 1
- Error running example
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from faceimagequality.