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Published 20 hours ago • verified publisher icon Tramac
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Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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Dataset Directory Structure

Hi, Could you please provide the way your dataset is arranged/ structured in your directory (i.e. train data, validation data and test data). I tried running the downloading script to...

bbbts avatar bbbts

预训练权重

选择了deeplabv3_resnet50_pascal_voc从头训练了一个权重，在使用demo.py测试的时候发现输出的pred值全为0。不确定是因为自己训练的权重问题还是其它原因。想用预训练权重测试下这个问题但没找到下载链接，求预训练权重deeplabv3_resnet50_pascal_voc.pth的下载地址？

simplystart-from-begining avatar simplystart-from-begining

DeepLabV3+, the backbone can only use Xception, and other backbones cannot be selected

DeepLabV3+, the backbone can only use Xception, and other backbones cannot be selected ![1](https://github.com/Tramac/awesome-semantic-segmentation-pytorch/assets/92045971/186d075e-ae2b-40f5-bdd7-3dcf7a29d01a)

DingHuilsp avatar DingHuilsp

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verified publisher icon Tramac

Metadata

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

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