long123524 / seanet_torch Goto Github PK
View Code? Open in Web Editor NEWISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images
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Hi! Could you send the model to me? [email protected] Thanks!
Pre trained weights
Hello,
I can not access the pretrained weights through the current link.
can you provide an alternative link for international people, please.
后处理问题
有两个问题想请教一下
1、预测的第二个输出是[6,1,256,256] 怎么获取边缘的输出
2、预测的mask还是存在地块的粘连，怎么通过后处理获取最终的地块矢量呢 谢谢
图片无法识别
你好，我在训练的时候总是出现图片无法识别的问题，请问这是什么原因呀，我用的是GF2的4波段tif数据。
有训练好的模型么，求求了，大哭
RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [2, 8, 3, 512, 512]
Dear authors,
I trivially copied the file and instantiated the model as:
torch_device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
print('Using device:', torch_device)
model = SEANet(num_classes=1) # the same error with a different num_classes
print(summary(model, (8, 3, 512, 512))) # the same error with a different batch_size
I got this error:
343 def forward(self, x):
344 # VGG
345 img_H, img_W = x.shape[2], x.shape[3]
-> 347 conv1_1 = self.activ(self.conv1_1(x))
RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [2, 8, 3, 512, 512]
Could you help me?
Many thanks for your excellent work.
D
数据集
论文中的数据集可以分享下吗，仅用于研究使用
@long123524
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