keras04 GAN simple

reference:

GAN 讲解

https://blog.csdn.net/u010900574/article/details/53427544

命令行解析

https://blog.csdn.net/qq_24193303/article/details/80810892

命令行解析的坑

https://blog.csdn.net/qq_25964837/article/details/79077504

注意其内部参数

from __future__ import print_function
from keras.preprocessing.image import load_img, save_img, img_to_array
import numpy as np
from scipy.optimize import fmin_l_bfgs_b
import time
import argparse

from keras.applications import vgg19
from keras import backend as K

parser = argparse.ArgumentParser(description='Neural style transfer with Keras.')
parser.add_argument('base_image_path', metavar='base', type=str,
                    help='Path to the image to transform.')
parser.add_argument('style_reference_image_path', metavar='ref', type=str,
                    help='Path to the style reference image.')
parser.add_argument('result_prefix', metavar='res_prefix', type=str,
                    help='Prefix for the saved results.')
parser.add_argument('--iter', type=int, default=10, required=False,
                    help='Number of iterations to run.')
parser.add_argument('--content_weight', type=float, default=0.025, required=False,
                    help='Content weight.')
parser.add_argument('--style_weight', type=float, default=1.0, required=False,
                    help='Style weight.')
parser.add_argument('--tv_weight', type=float, default=1.0, required=False,
                    help='Total Variation weight.')

(base) C:\Users\lenovo>activate tf

(tf) C:\Users\lenovo>d
'd' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

(tf) C:\Users\lenovo>d:

(tf) D:\>D:\adevelop\keras\GAN\keras-master\examples
'D:\adevelop\keras\GAN\keras-master\examples' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

(tf) D:\>cd D:\adevelop\keras\GAN\keras-master\examples

(tf) D:\adevelop\keras\GAN\keras-master\examples>python neural_style_transfer.py "D:\\adevelop\\keras\\img\\tanm.jpg" "D:\\adevelop\\keras\\img\\vonga.jpg" "D:\\adevelop\\keras\\img\\tiananmen_fangao"
Using TensorFlow backend.
Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5
forrtl: error (): program aborting due to control-C event
Image              PC                Routine            Line        Source
libifcoremd.dll    00007FFBBCFB94C4  Unknown               Unknown  Unknown
KERNELBASE.dll     00007FFC07A656FD  Unknown               Unknown  Unknown
KERNEL32.DLL       00007FFC089C3034  Unknown               Unknown  Unknown
ntdll.dll          00007FFC0AF93691  Unknown               Unknown  Unknown

(tf) D:\adevelop\keras\GAN\keras-master\examples>python neural_style_transfer.py "D:\\adevelop\\keras\\img\\tanm.jpg" "D:\\adevelop\\keras\\img\\vonga.jpg" "D:\\adevelop\\keras\\img\\tiananmen_fangao"
Using TensorFlow backend.
Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5
/ [==============================] - 27s 0us/step
-- ::22.912925: I tensorflow/core/platform/cpu_feature_guard.cc:] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
-- ::23.111711: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Found device  with properties:
name: GeForce GTX  6GB major:  minor:  memoryClockRate(GHz): 1.7845
pciBusID: ::00.0
totalMemory: .00GiB freeMemory: .97GiB
-- ::23.115455: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Adding visible gpu devices:
-- ::23.474086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Device interconnect StreamExecutor with strength  edge matrix:
-- ::23.476305: I tensorflow/core/common_runtime/gpu/gpu_device.cc:]
-- ::23.477352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] :   N
-- ::23.479132: I tensorflow/core/common_runtime/gpu/gpu_device.cc:] Created TensorFlow device (/job:localhost/replica:/task:/device:GPU: with  MB memory) -> physical GPU (device: , name: GeForce GTX  6GB, pci bus id: ::00.0, compute capability: 6.1)
Model loaded.
WARNING:tensorflow:Variable += will be deprecated. Use variable.assign_add if you want assignment to the variable value or 'x = x + y' if you want a new python Tensor object.
Start of iteration
Current loss value: 4708729000.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_0.png
Iteration  completed in 12s
Start of iteration
Current loss value: 2911683000.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_1.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2555891200.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_2.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2370041300.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_3.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2268962800.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_4.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2198608600.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_5.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2155104300.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_6.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2122974200.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_7.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2096054800.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_8.png
Iteration  completed in 9s
Start of iteration
Current loss value: 2074734200.0
Image saved as D:\\adevelop\\keras\\img\\tiananmen_fangao_at_iteration_9.png
Iteration  completed in 9s

(tf) D:\adevelop\keras\GAN\keras-master\examples>