real-time facemask detection.py

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dropout, Dense
cnn = Sequential([Conv2D(filters=100, kernel_size=(3,3), 
                    activation='relu'),
                    MaxPooling2D(pool_size=(2,2)),
                    Conv2D(filters=100, kernel_size=(3,3), 
                    activation='relu'),
                    MaxPooling2D(pool_size=(2,2)),
                    Flatten(),
                    Dropout(0.5),
                    Dense(50),
                    Dense(35),
                    Dense(2)])
cnn.compile(optimizer='adam', loss='binary_crossentropy', metrics=['acc'])