How to preprocess for MNIST? I didn't find any good resources for it so I decided to reasearch and try it out and explain it simple with steps in Python. You can find the result on my blog OpenSourcES.
This code should be working on Python 3.6 if opencv and tensorflow and a few other packages are installed.
See requirements.txt
You should be able to run python mnist.py and python predict_interface_usage.py test_2 where test_2 is the filename (without extension) of an image in img/
SUCCESS will be in the form of something like this:
0.9145
[8 0 4 3]
1.0
A photograph of handwritten digits as input (img/),
SUCCESS will write an output with predictions to the command
prompt and it will generate an image with the predictions in pro-img/