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update dataloader

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chenxuanhong
2022-02-15 02:08:57 +08:00
parent 4a6197a685
commit 9c1e6bb77d
3 changed files with 11 additions and 6 deletions
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components/Generator_modulation_depthwise.py
+8 -3
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@@ -5,7 +5,7 @@
# Created Date: Sunday January 16th 2022
# Author: Chen Xuanhong
# Email: chenxuanhongzju@outlook.com
# Last Modified: Monday, 14th February 2022 11:35:32 pm
# Last Modified: Tuesday, 15th February 2022 1:54:50 am
# Modified By: Chen Xuanhong
# Copyright (c) 2022 Shanghai Jiao Tong University
#############################################################
@@ -119,8 +119,11 @@ class Generator(nn.Module):
# self.first_layer = nn.Sequential(nn.ReflectionPad2d(3), nn.Conv2d(3, 64, kernel_size=7, padding=0, bias=False),
# nn.BatchNorm2d(64), activation)
self.first_layer = nn.Sequential(nn.Conv2d(3, 64, kernel_size=3, padding=1, bias=False),
self.first_layer = nn.Sequential(nn.ReflectionPad2d(1),
nn.Conv2d(3, 64, kernel_size=3, padding=0, bias=False),
nn.BatchNorm2d(64), activation)
# self.first_layer = nn.Sequential(nn.Conv2d(3, 64, kernel_size=3, padding=1, bias=False),
# nn.BatchNorm2d(64), activation)
### downsample
self.down1 = nn.Sequential(nn.Conv2d(64, 64, kernel_size=3, groups=64, padding=1, stride=2),
nn.Conv2d(64, 128, kernel_size=1, bias=False),
@@ -164,7 +167,9 @@ class Generator(nn.Module):
DeConv(128,64,3),
nn.BatchNorm2d(64), activation
)
self.last_layer = nn.Sequential(nn.Conv2d(64, 3, kernel_size=3, padding=1))
# self.last_layer = nn.Sequential(nn.Conv2d(64, 3, kernel_size=3, padding=1))
self.last_layer = nn.Sequential(nn.ReflectionPad2d(1),
nn.Conv2d(64, 3, kernel_size=3, padding=0))
# self.last_layer = nn.Sequential(nn.ReflectionPad2d(3),
# nn.Conv2d(64, 3, kernel_size=7, padding=0))