David Molina virtualdvid

	Keras: Flow from directory with Augmentation	Gap: Flow from directory with Augmentation
PRE-TIME	0.20845842361450195
TIME	143.19440412521362	10.20444941520691
Memory Used:	0.13 GB	0.01 GB

	Keras: Flow with Augmentation	Gap: Flow with Augmentation
PRE-TIME	0.4257802963256836	0.0036149024963378906
TIME	54.004902839660645	6.712508916854858
Memory Used:	-0.00 GB	0.00 GB

	print("Gap: Flow from directory with Augmentation")

	dataset = Images(augment=['rotate=-30,30'], config=['stream'])
	dataset.load('flowers')
	dataset.minibatch = 32
	train_generator = dataset.minibatch
	start_mem = psutil.virtual_memory().used

	start_time = time.time()

	print("Keras: Flow from directory with Augmentation")
	start_mem = psutil.virtual_memory().used

	start_time = time.time()

	datagen = ImageDataGenerator(rotation_range=30, rescale=1./255)
	train_generator = datagen.flow_from_directory('flowers', target_size=(128,128), batch_size=32)

	print("PRE-TIME", time.time() - start_time)

	print("Gap: Flow with Augmentation")

	dataset = Images(augment=['rotate=-30,30'])
	dataset.load('flowers')
	start_mem = psutil.virtual_memory().used

	start_time = time.time()

	dataset.minibatch = 32
	train_generator = dataset.minibatch

	print("Keras: Flow with Augmentation")

	datagen = ImageDataGenerator(rotation_range=30)

	start_time = time.time()

	datagen.fit(X_train)
	train_generator = datagen.flow(X_train, Y_train, batch_size=32)

	print("PRE-TIME (fit)", time.time() - start_time)

	print("Gap: flow from directory")

	start_mem = psutil.virtual_memory().used
	start_time = time.time()

	dataset = Images(config=['stream'])
	dataset.load('flowers')
	dataset.minibatch = 32
	train_generator = dataset.minibatch

	print("Keras: flow_from_directory")

	start_mem = psutil.virtual_memory().used
	start_time = time.time()

	datagen = ImageDataGenerator(rescale=1./255)
	train_generator = datagen.flow_from_directory('flowers', target_size=(128,128), batch_size=32)
	print("PRE-TIME", time.time() - start_time)

	start_time = time.time()