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chenjun2hao / DDRNet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
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cityscapes weights of DDRNet-39 #28

Open gzamps opened 1 year ago

gzamps commented 1 year ago

Thank you for the repo. Unfortunately, I was not able to reproduce the DDRNet-39 performance on cityscapes twice with default settings. Is it possible to provide the weights for DDRNet-39 model on cityscapes, which achieves ~80% mIOU%? Thanks

chenjun2hao commented 1 year ago

这是来自QQ邮箱的假期自动回复邮件。   您好，我最近正在休假中，无法亲自回复您的邮件。我将在假期结束后，尽快给您回复。

myDREAMqq commented 1 year ago

有些地方看不懂，比如具体下哪些预测模型，还有就是这些放哪里

chenjun2hao commented 1 year ago

这是来自QQ邮箱的假期自动回复邮件。   您好，我最近正在休假中，无法亲自回复您的邮件。我将在假期结束后，尽快给您回复。