Below is the code I'm using for segmentation mask prediction after using fit_generator(...)
on model named m
:-
test_datagen = ImageDataGenerator(rescale=1./255)
test_generator.reset()
test_generator =test_datagen.flow_from_directory('result/test', class_mode=None,seed=1, color_mode="grayscale",target_size=(256,256),batch_size=1)
results = m.predict_generator(test_generator,steps=17, verbose=1)
It runs without any errors but how do I visualise the predicted segmentation masks from results
?