How to load my local dataset instead of the Cifar10 dataset and feed it to the DenseNet

[adelabdelli]

I have a dataset organised into folders like this:
`-Training_Set
--Class1
--img1.jpg
--img2.jpg
..
--Class2
--img101.jpg
--img102.jpg
..
--Class3
--img201.jpg
--img202.jpg

-Test_Set
--Class1
--img10.jpg
--img11.jpg
..
--Class2
--img150.jpg
--img140.jpg
..
--Class3
--img210.jpg
--img220.jpg`

and i want to upload the dataset, instead of the Cifar10 dataset in this line of code using Keras (Python) :

(trainX, trainY), (testX, testY) = cifar10.load_data()