Stack Overflow Asked by Umair Nasir on December 27, 2021
This is my flow_from_directory code
train_image_generator = ImageDataGenerator(rescale=1./255)
validation_image_generator = ImageDataGenerator(rescale=1./255)
test_image_generator = ImageDataGenerator(rescale=1./255)
train_data_gen = train_image_generator.flow_from_directory(
train_dir,
target_size=(150, 150),
batch_size=batch_size,
class_mode='binary')
val_data_gen =validation_image_generator.flow_from_directory(
validation_dir,
target_size=(150, 150),
batch_size=batch_size,
class_mode='binary')
test_data_gen = test_image_generator.flow_from_directory(
test_dir,
target_size=(150, 150),
batch_size=batch_size,
class_mode='binary',
shuffle = False,)
And it prints:
Found 2000 images belonging to 2 classes.
Found 1000 images belonging to 2 classes.
Found 0 images belonging to 0 classes.
Even though the data exists as I used:
!ls /root/.keras/datasets/cats_and_dogs/test
Which gives the output:
10.jpg 15.jpg 1.jpg 24.jpg 29.jpg 33.jpg 38.jpg 42.jpg 47.jpg 5.jpg
11.jpg 16.jpg 20.jpg 25.jpg 2.jpg 34.jpg 39.jpg 43.jpg 48.jpg 6.jpg
12.jpg 17.jpg 21.jpg 26.jpg 30.jpg 35.jpg 3.jpg 44.jpg 49.jpg 7.jpg
13.jpg 18.jpg 22.jpg 27.jpg 31.jpg 36.jpg 40.jpg 45.jpg 4.jpg 8.jpg
14.jpg 19.jpg 23.jpg 28.jpg 32.jpg 37.jpg 41.jpg 46.jpg 50.jpg 9.jpg
what am I doing wrong or what must be Done?
flow_from_directory
expects a directory with a subdirectory by class. The problem with your test folder at the moment is that all images are in it, without any subdir by class. You need to create one subdir for each class, and put the images in the appropriate subdir.
Answered by Raphael Meudec on December 27, 2021
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