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LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

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could you send the pretrained model of cityscapes to me? my email address is [email protected] thank you!

where is the train model ? could you share the trained model?

Hi everyone, has someone pretrained the encoder with the imagenet dataset and can send me the model? Thank you!

我并没有看到在输入端把图像resize到1024*512,仅仅是把短边等比例缩放到512,长边并没有固定到1024,为何输出的时候,就直接缩放到1024*512呢? class Decoder (nn.Module): def __init__(self, num_classes): super().__init__() self.apn = APN_Module(in_ch=128,out_ch=20) # self.upsample = Interpolate(size=(512, 1024), mode="bilinear") # self.output_conv = nn.ConvTranspose2d(16, num_classes, kernel_size=4, stride=2, padding=1, output_padding=0, bias=True) # self.output_conv =...

could you send the pretrained model on cityscapes dataset to me?Thank you

作者你好,感谢你的贡献以及公开代码!但你给的预训练模型链接失效了。 能重新分享一下吗。非常感谢

_This is something that I encountered when I was executing the code on another dataset. So I modified the code in a way that it can support other datasets as...

I tried to download the trained weights but the link to models is broken.

@xiaoyufenfei hi when i try to visual cityscapes annotation on the data by extraction of semattic maps from png i get the following results is there any best way to...

Hi, how is the loss weights (0 ~19) calculated? Based on the number of images? or the number of pixels?