When we use some famous CNN deep neural networks such as MobileNet, it is recommended to preprocess an image before feeding it into the network. I found a sample code that uses MobileNet. In this code, the preprocess on the image is done by the following code in TensorFlow 2.7.0:
tf.keras.applications.mobilenet.preprocess_input(image)
I need to preprocess the input image only using PIL and OpenCV in python. Therefore, I need to know the procedure of MobileNet preprocesses in TensorFlow. I will be grateful to guide.
As already stated here:
[...] mobilenet.preprocess_input will scale input pixels between -1 and 1.
As already mentioned, you could also check out the source code itself. With opencv, you would just use cv2.resize(*) and cv2.normalize(*).