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a deep doodle demo from DeepDoodle-master(tensorflow backend)

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deep_doodle_keras

a deep doodle demo from DeepDoodle-master(tensorflow backend)

pre

you should collect some pictures to train (portray)

Keras(tensorflow backend)

tf>=1.8

windows

and create three folders :MEN save_picture YB_PICTURES

procession

generate data

python datagen.py

train

python train.py

doodle

python doodler.py

then you will see this screen

showing

the result is not very good because training data is not very large

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a deep doodle demo from DeepDoodle-master(tensorflow backend)

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