[英]Keras: Multiple Inputs for fit_generator using flow_from_directory
Is it possible to have two flow_from_directory in a fit_generator? 是否可以在fit_generator中有两个flow_from_directory?
For example 例如
train_generator_1 = train_datagen.flow_from_directory(
train_data_dir_1,
target_size=(img_height, img_width),
batch_size=batch_size,
class_mode='binary')
train_generator_2 = train_datagen.flow_from_directory(
train_data_dir_2,
target_size=(img_height, img_width),
batch_size=batch_size,
class_mode='binary')
custom_vgg_model.fit_generator(
[train_generator_1, train_generator_2],
steps_per_epoch=nb_train_samples,
epochs=epochs,
validation_data=validation_generator,
validation_steps=nb_validation_samples,
callbacks=[checkpointer, csv_logger])
You can try making a generator that contains both: 您可以尝试制作包含以下两者的生成器:
In python 3: 在python 3中:
def doubleGenerator(generator1,generator2):
while True:
for (x1,y1),(x2,y2) in zip(generator1,generator2):
yield ([x1,x2],y1)
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