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livenessmodel.py
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livenessmodel.py
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import numpy as np
import keras
from keras.models import model_from_json
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv3D, MaxPooling3D
from keras import backend as K
def get_liveness_model():
model = Sequential()
model.add(Conv3D(32, kernel_size=(3, 3, 3),
activation='relu',
input_shape=(24,100,100,1)))
model.add(Conv3D(64, (3, 3, 3), activation='relu'))
model.add(MaxPooling3D(pool_size=(2, 2, 2)))
model.add(Conv3D(64, (3, 3, 3), activation='relu'))
model.add(MaxPooling3D(pool_size=(2, 2, 2)))
model.add(Conv3D(64, (3, 3, 3), activation='relu'))
model.add(MaxPooling3D(pool_size=(2, 2, 2)))
model.add(Dropout(0.25))
model.add(Flatten())
model.add(Dense(128, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(2, activation='softmax'))
return model