def __init__(
self,
model='net-lin',
net='alex',
colorspace='rgb',
spatial=False,
use_gpu=True,
gpu_ids=[
0
]): # VGG using our perceptually-learned weights (LPIPS metric)
# def __init__(self, model='net', net='vgg', use_gpu=True): # "default" way of using VGG as a perceptual loss
super(PerceptualLoss, self).__init__()
print('Setting up Perceptual loss...')
self.use_gpu = use_gpu
self.spatial = spatial
self.gpu_ids = gpu_ids
self.model = dist_model.DistModel()
self.model.initialize(model=model,
net=net,
use_gpu=use_gpu,
colorspace=colorspace,
spatial=self.spatial,
gpu_ids=gpu_ids)
print('...[%s] initialized' % self.model.name())
print('...Done')
def __init__(self,
model='net-lin',
net='alex',
colorspace='rgb',
spatial=False,
use_gpu=True,
gpu_ids=[0]):
super(PerceptualLoss, self).__init__()
self.use_gpu = use_gpu
self.spatial = spatial
self.gpu_ids = gpu_ids
self.model = dist_model.DistModel()
self.model.initialize(model=model,
net=net,
use_gpu=use_gpu,
colorspace=colorspace,
spatial=self.spatial,
gpu_ids=gpu_ids)
def __init__(self,
model='net-lin',
net='emotion-vgg',
colorspace='rgb',
spatial=False,
use_gpu=True,
gpu_ids=[0]):
super(EmotionLoss, self).__init__()
print('Setting up Perceptual loss...')
self.use_gpu = use_gpu
self.spatial = spatial
self.gpu_ids = gpu_ids
self.model = dist_model.DistModel()
self.model.initialize(model=model,
net=net,
use_gpu=use_gpu,
colorspace=colorspace,
spatial=self.spatial,
gpu_ids=gpu_ids)
print('...[%s] initialized' % self.model.name())
print('...Done')