#Colorization By nilboy

A Tensorflow implementation of ECCV2016 paper(Colorful Image Colorization)

###Train

Download imagenet data

1. Download imagenet data and Extract to one directory named 'Imagenet'

2. link the Imagenet data directory to this project path

   ln -s $Imagenet data/imagenet
   

convert the imagenet data to text_record file

python tools/create_imagenet_list.py

train

python tools/train.py -c conf/train.cfg

Train your customer data

1. transform your training data to text_record file

2. calculate the training data prior-probs(reference to tools/create_prior_probs.py)

3. write your own train-configure file

4. train (python tools/train.py -c $your_configure_file)

###test demo

1. Download pretrained model(https://drive.google.com/file/d/0B-yiAeTLLamRWVVDQ1VmZ3BxWG8/view?usp=sharing)

   mv color_model.ckpt models/model.ckpt
   

2. Test

   python demo.py