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Pix2Pix-Keras

基于pix2pix模型的动漫图片自动上色 2019-2-25

环境

tensorflow-gpu 1.12.0
Keras 2.2.4

数据集的准备：

把训练的彩色图片放入datasets\OriginalImages文件夹
运行prepare.py进行数据集的处理与准备
注意：当前datasets中的训练集过少，可增加训练集进行训练，防止过拟合

训练模型：

若要加载预训练权重，将权重文件放入weights文件夹
最新权重(在30020张图片的大数据集下训练后的权重)下载
链接：https://pan.baidu.com/s/1tmfMTCpAFVpC6Z7GWvkrfA 提取码：cac2
在demo.py中新建一个pix2pix模型实例
调用实例中的train函数进行训练

为新的图片上色:

将权重文件放入weights文件夹
新建一个pix2pix模型实例
调用demo.py中的predict_single_image函数进行图片上色

Demo(中间的为AI预测，右边的为原始图像):

泛化能力测式（给漫画上色）：

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wmylxmj / Pix2Pix-Keras

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Pix2Pix-Keras

环境

数据集的准备：

训练模型：

为新的图片上色:

Demo(中间的为AI预测，右边的为原始图像):

泛化能力测式（给漫画上色）：