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Method __init__

model.py:146–183  ·  view source on GitHub ↗
(self,  class_num, no_local= 'on', gm_pool = 'on', arch='resnet50')

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144
145class embed_net(nn.Module):
146 def __init__(self, class_num, no_local= 'on', gm_pool = 'on', arch='resnet50'):
147 super(embed_net, self).__init__()
148
149 self.thermal_module = thermal_module(arch=arch)
150 self.visible_module = visible_module(arch=arch)
151 self.base_resnet = base_resnet(arch=arch)
152 self.non_local = no_local
153 if self.non_local =='on':
154 layers=[3, 4, 6, 3]
155 non_layers=[0,2,3,0]
156 self.NL_1 = nn.ModuleList(
157 [Non_local(256) for i in range(non_layers[0])])
158 self.NL_1_idx = sorted([layers[0] - (i + 1) for i in range(non_layers[0])])
159 self.NL_2 = nn.ModuleList(
160 [Non_local(512) for i in range(non_layers[1])])
161 self.NL_2_idx = sorted([layers[1] - (i + 1) for i in range(non_layers[1])])
162 self.NL_3 = nn.ModuleList(
163 [Non_local(1024) for i in range(non_layers[2])])
164 self.NL_3_idx = sorted([layers[2] - (i + 1) for i in range(non_layers[2])])
165 self.NL_4 = nn.ModuleList(
166 [Non_local(2048) for i in range(non_layers[3])])
167 self.NL_4_idx = sorted([layers[3] - (i + 1) for i in range(non_layers[3])])
168
169
170 pool_dim = 2048
171 self.l2norm = Normalize(2)
172 self.bottleneck = nn.BatchNorm1d(pool_dim)
173 self.bottleneck.bias.requires_grad_(False) # no shift
174 self.bottleneck_2 = nn.BatchNorm1d(pool_dim)
175 self.bottleneck_2.bias.requires_grad_(False)
176
177 self.classifier = nn.Linear(pool_dim, class_num, bias=False)
178
179 self.bottleneck.apply(weights_init_kaiming)
180 self.bottleneck_2.apply(weights_init_kaiming)
181 self.classifier.apply(weights_init_classifier)
182 self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
183 self.gm_pool = gm_pool
184
185 def forward(self, x1, x2, modal=0):
186 if modal == 0:

Callers

nothing calls this directly

Calls 6

thermal_moduleClass · 0.85
visible_moduleClass · 0.85
base_resnetClass · 0.85
Non_localClass · 0.85
NormalizeClass · 0.85
__init__Method · 0.45

Tested by

no test coverage detected