THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
'''
# https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/14_DeepDream.ipynb
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import random
import math
# Image manipulation.
import PIL.Image
from scipy.ndimage.filters import gaussian_filter
import inception5h
inception5h.maybe_download()
model = inception5h.Inception5h()
gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.5)
session = tf.Session(graph=model.graph,
config=tf.ConfigProto(gpu_options=gpu_options))
def load_image(filename):
image = PIL.Image.open(filename)
return np.float32(image)
def save_image(image, filename):
# Ensure the pixel-values are between 0 and 255.
image = np.clip(image, 0.0, 255.0)
# Convert to bytes.
def __init__(self):
inception5h.maybe_download()
self.model = inception5h.Inception5h()
self.session = tf.InteractiveSession(graph=self.model.graph)