refactor(net): 注释掉 DetailFeatureExtraction、DetailFeatureFusion 和 DetailFeatureExtractionSAR 类中的 enhancement_module
- 在三个类中注释掉了 enhancement_module 的定义 - 该改动可能是为了暂时禁用增强模块的功能或进行调试
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net.py
6
net.py
@ -327,7 +327,7 @@ class DetailFeatureExtraction(nn.Module):
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super(DetailFeatureExtraction, self).__init__()
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INNmodules = [DetailNode(use) for _ in range(num_layers)]
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self.net = nn.Sequential(*INNmodules)
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self.enhancement_module = WTConv2d(32, 32)
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# self.enhancement_module = WTConv2d(32, 32)
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def forward(self, x): # 1 64 128 128
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z1, z2 = x[:, :x.shape[1] // 2], x[:, x.shape[1] // 2:x.shape[1]] # 1 32 128 128
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@ -346,7 +346,7 @@ class DetailFeatureFusion(nn.Module):
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super(DetailFeatureFusion, self).__init__()
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INNmodules = [DetailNode() for _ in range(num_layers)]
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self.net = nn.Sequential(*INNmodules)
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self.enhancement_module = WTConv2d(32, 32)
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# self.enhancement_module = WTConv2d(32, 32)
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def forward(self, x): # 1 64 128 128
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z1, z2 = x[:, :x.shape[1] // 2], x[:, x.shape[1] // 2:x.shape[1]] # 1 32 128 128
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@ -582,7 +582,7 @@ class DetailFeatureExtractionSAR(nn.Module):
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super(DetailFeatureExtractionSAR, self).__init__()
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INNmodules = [DetailNode(useBlock=1) for _ in range(num_layers)]
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self.net = nn.Sequential(*INNmodules)
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self.enhancement_module = WTConv2d(32, 32)
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# self.enhancement_module = WTConv2d(32, 32)
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def forward(self, x): # 1 64 128 128
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z1, z2 = x[:, :x.shape[1] // 2], x[:, x.shape[1] // 2:x.shape[1]] # 1 32 128 128
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