I used "flow_from_directory" but my "lose" is not decreasing. I notice When I run "fit_generator". Its says there is 1 classes, even though my mask have 3 classes. My question is, do we need to indicate in the "datagen.flow_from_directory" how many number of classes? do yo see any mistake in the "datagen.flow_from_directory" call:
My directory structure as shown below:
My code is shown below:
inputs = tf.keras.layers.Input(shape=(IMAGE_SIZE, IMAGE_SIZE, 3), name="input_image")
model = tf.keras.applications.ResNet50(input_tensor=inputs, weights=None, include_top=true)
LR = 0.0001
optim = keras.optimizers.Adam(LR)
dice_loss_se2 = sm.losses.DiceLoss()
mae = tf.keras.losses.MeanAbsoluteError( )
metrics = [ mae,sm.metrics.IOUScore(threshold=0.5), sm.metrics.FScore(threshold=0.5) , dice_loss_se2]
model.compile(optimizer=optim,loss= dice_loss_se2,metrics= metrics)
image_datagen = ImageDataGenerator()
mask_datagen = ImageDataGenerator()
image_generator =image_datagen.flow_from_directory( "/mydata/train/image", target_size=(IMAGE_SIZE, IMAGE_SIZE)
, class_mode = None,
)
mask_generator = mask_datagen.flow_from_directory("/mydata/train/mask" , target_size=(IMAGE_SIZE, IMAGE_SIZE)
, class_mode = None,
)
train_generator = zip(image_generator, mask_generator)
train_steps = 1212//batch_size
#---------------------------
image_generator_val =image_datagen.flow_from_directory( "/mydata/Validation/image", target_size=(IMAGE_SIZE, IMAGE_SIZE)
, class_mode = None,
)
mask_generator_val = mask_datagen.flow_from_directory("/mydata/Validation/mask" , target_size=(IMAGE_SIZE, IMAGE_SIZE)
, class_mode = None,
)
)
val_generator = zip(image_generator_val, mask_generator_val)
val_steps = 250//batch_size
history =model.fit_generator(train_generator, validation_data=val_generator , steps_per_epoch=train_steps, validation_steps=val_steps , epochs=epochs, verbose=1)
CodePudding user response:
your problem is in your directory structure. What you want is a directory structure as shown below
mydata
---- train
---- image
------1.jpg
------2.jpg
---- mask
------1.png
------2.png
you are only getting one class because the generator only sees the class img. So just move your images as shown in the above directory structure
CodePudding user response: