thanks for your help

[vaeXu]

Sorry to bother you. The pictures I verified are all assigned to the same category. What are your suggestions for defining the parameters? Thanks for your help.

[go-mou]

@GAVANXU Could you tell me which version of keras and tensorflow to use, plz?
i got this error:
KeyError: "Can't open attribute (can't locate attribute: 'nb_layers')"

[vaeXu]

I am using version 2.1.5 of keras.and did not use the h5py module but directly loaded the model.
if weights_path:
model.load_weights(weights_path, by_name=True)
print('Model loaded.')
But the results of the final test are not ideal.

[vaeXu]

Of course, I'm not sure what's the problem with this. If you solve the trouble and teach me

[vaeXu]

@OeslleLucena i train own model the loss is 0.016 and acc is 0.98, But when testing the picture, all the photos were divided into 1 and the attack photos were divided into 0. Where did the problem occur? I only changed some hyperparameters.

[saurav4098]

@GAVANXU On which dataset did you train ? I am getting 1 for spoof and real photos with both the weights. Kindly help!!!

[go-mou]

@GAVANXU Could u send me ur Code, and briefly describe the steps? thank u very mush.
mail id: [email protected]

[vaeXu]

i train my own dateset. you can train the pretrain weight @saurav4098

[vaeXu]

@saurav4098 I am using the code given by the author only when loading the model with model.load_weights(weights_path, by_name=True) and not making other changes

[vaeXu]

@CacheTechLtd https://github.com/GAVANXU/anti-spoofing-keras

[go-mou]

@GAVANXU 谢谢同胞[抱拳]

[shbzygq]

@GAVANXU Which data set do you measure？ What is the accuracy of the test?

[lotfiGipsyKing]

@CacheTechLtd i tested the model with ReaplyATTACK and i found that is not accurate, is the same thing for you ??

[Jason-xin]

@lotfiGipsyKing can you share ReaplyATTACK dataset with me? I cannot found it anywhere...