model.py

#!/usr/bin/env python3
# Universal Sign Language Translator
# Created by Team Axenhammer, https://github.com/Axenhammer
# Licensed as MIT

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
# more info on callbakcs: https://keras.io/callbacks/ model saver is cool too.
from tensorflow.keras.callbacks import TensorBoard
from keras.utils import to_categorical
import pickle
import time
pickle_in = open("X.pickle","rb")
X = pickle.load(pickle_in)

pickle_in = open("y.pickle","rb")
y = pickle.load(pickle_in)

X = X/255.0
print(X.shape)

NAME = 'Motion Detection model'
print(NAME)

model = Sequential()
model.add(LSTM(,return_sequences=False,
               input_shape=(60,1920,1080,1)
               dropout=0.5))
model.add(Dense(512, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(, activation='softmax'))

model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])

model.fit(X, y,batch_size=60,epochs=5,validation_split=0.2,callbacks=[tensorboard])


model.save('motion_detection.model')