NS之VGG(Keras)：基于Keras的VGG16实现之《复仇者联盟3》灭霸图像风格迁移设计(A Neural Algorithm of Artistic Style)

CV之NS之VGG16：基于Keras框架利用VGG16算法实现图像风格迁移设计(以设计《复仇者联盟3》灭霸图像风格迁移为例)案例应用

导读 通过代码设计，基于Keras的VGG16实现A Neural Algorithm of Artistic Style之灭霸风格迁移设计

目录

基于Keras框架利用VGG16算法实现图像风格迁移设计(以设计《复仇者联盟3》灭霸图像风格迁移为例)案例应用

输出结果实现

灭霸风格素材

1、对我的偶像，下手……

2、其他风格迁移设计

核心代码

基于Keras框架利用VGG16算法实现图像风格迁移设计(以设计《复仇者联盟3》灭霸图像风格迁移为例)案例应用 输出结果实现 灭霸风格素材

 

1、对我的偶像，下手……

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58892288/58889256 [==============================] - 250s 4us/step
Model loaded.

Start of iteration 0
Current loss value: 2254528800.0
Image saved as F:\File_Python\Python_example\fast_style_transfer_master\examples\results_at_iteration_0.png
Iteration 0 completed in 252s
Start of iteration 1
Current loss value: 1771042400.0
Image saved as F:\File_Python\Python_example\fast_style_transfer_master\examples\results_at_iteration_1.png
Iteration 1 completed in 238s
Start of iteration 2

2、其他风格迁移设计

核心代码

#Keras：基于Keras的VGG16实现A Neural Algorithm of Artistic Style
from keras.preprocessing.image import load_img, img_to_array
import numpy as np
from scipy.misc import imsave
from scipy.optimize import fmin_l_bfgs_b
import time
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input
from keras import backend as K
import os

# References
    - [A Neural Algorithm of Artistic Style](http://arxiv.org/abs/1508.06576)
'''

base_image_path=r'F:\File_Python\Python_example\fast_style_transfer_master\examples\content\20180214(21).jpg'
style_reference_image_path=r'F:\File_Python\Python_example\fast_style_transfer_master\examples\style\mieba02.jpg'
result_prefix=r'F:\File_Python\Python_example\fast_style_transfer_master\examples\results'

iterations=10
content_weight=0.025
style_weight=1.0
total_variation_weight=1.0