Hi Ivan, thanks for the reply.
No, these values are not valid for my model and I want to skip the input normalization step at all since I do not apply that in the original Python model as well. When I read the image with this code, it returns me some negative values which I do not want. What I want is to just read the image and convert the RGB values between 0-1. Here is how I read the input image in Python:
img = Image.open(path)
img = img.convert("RGB")
transform = transforms.ToTensor()

img = transform(img)

Is there a way to mimic this behavior in Android?
Thanks