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-rw-r--r--models/cycle_gan_model.py9
1 files changed, 1 insertions, 8 deletions
diff --git a/models/cycle_gan_model.py b/models/cycle_gan_model.py
index b7b840d..bcc6a15 100644
--- a/models/cycle_gan_model.py
+++ b/models/cycle_gan_model.py
@@ -1,6 +1,4 @@
-import numpy as np
import torch
-import os
from collections import OrderedDict
from torch.autograd import Variable
import itertools
@@ -8,7 +6,6 @@ import util.util as util
from util.image_pool import ImagePool
from .base_model import BaseModel
from . import networks
-import sys
class CycleGANModel(BaseModel):
@@ -17,10 +14,6 @@ class CycleGANModel(BaseModel):
def initialize(self, opt):
BaseModel.initialize(self, opt)
-
- nb = opt.batchSize
- size = opt.fineSize
-
# load/define networks
# The naming conversion is different from those used in the paper
# Code (paper): G_A (G), G_B (F), D_A (D_Y), D_B (D_X)
@@ -200,7 +193,7 @@ class CycleGANModel(BaseModel):
def get_current_errors(self):
ret_errors = OrderedDict([('D_A', self.loss_D_A), ('G_A', self.loss_G_A), ('Cyc_A', self.loss_cycle_A),
- ('D_B', self.loss_D_B), ('G_B', self.loss_G_B), ('Cyc_B', self.loss_cycle_B)])
+ ('D_B', self.loss_D_B), ('G_B', self.loss_G_B), ('Cyc_B', self.loss_cycle_B)])
if self.opt.identity > 0.0:
ret_errors['idt_A'] = self.loss_idt_A
ret_errors['idt_B'] = self.loss_idt_B