# Can be removed if there is no folder with gesture data
image_val_data_location_1_1 = "../HandGestureData/Ack/"
image_val_data_location_2_1 = "../HandGestureData/Fist/"
image_val_data_location_3_1 = "../HandGestureData/Hand/"
image_val_data_location_4_1 = "../HandGestureData/One/"
image_val_data_location_5_1 = "../HandGestureData/Straight/"
image_val_data_location_6_1 = "../HandGestureData/Palm/"
image_val_data_location_7_1 = "../HandGestureData/Thumbs/"
image_val_data_location_8_1 = "../HandGestureData/None/"
image_val_data_location_9_1 = "../HandGestureData/Swing/"
image_val_data_location_10_1 = "../HandGestureData/Peace/"
net = NetLoader.NetLoader(model_file=model_path,
weights_file=weights_path,
learning_rate=0.001,
decay_rate=0.00000001,
create_file=True,
epoch_save=1)
data_list = [ # First data set (Positional Gestures)
image_val_data_location_1_1, image_val_data_location_2_1,
image_val_data_location_3_1, image_val_data_location_4_1,
image_val_data_location_5_1, image_val_data_location_6_1,
image_val_data_location_7_1, image_val_data_location_8_1,
image_val_data_location_9_1, image_val_data_location_10_1
]
# if training mode is false, then data list can just be an empty array
if not train_mode:
data_list = []
