def load_vgg(self):
self.vgg = load_vgg.VGG(self.input_img)
self.vgg.load()
# mean-center
self.content_img -= self.vgg.mean_pixels
self.style_img -= self.vgg.mean_pixels
def load_vgg(self):
"""
加载vgg模型并对图片进行预处理
"""
self.vgg = load_vgg.VGG(self.input_img)
self.vgg.load()
# mean-center
self.content_img -= self.vgg.mean_pixels
self.style_img -= self.vgg.mean_pixels
def load_vgg(self):
"""
load vgg model to preprocess photos
"""
self.vgg = load_vgg.VGG(self.input_photo)
self.vgg.load()
# mean-center
self.content_photo -= self.vgg.mean_pixels
self.style_photo -= self.vgg.mean_pixels
def load_vgg(self):
'''
Load the saved model parameters of VGG-19, using the input_img
as the input to compute the output at each layer of vgg.
During training, VGG-19 mean-centered all images and found the mean pixels
to be [123.68, 116.779, 103.939] along RGB dimensions. We have to subtract
this mean from our images.
'''
self.vgg = load_vgg.VGG(self.input_img)
self.vgg.load()
self.content_img -= self.vgg.mean_pixels
self.style_img -= self.vgg.mean_pixels