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DeepLab v3+ model in PyTorch. Support different backbones.

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I've tried both xception and resnet backbone.The resent backbone is working good but when using xception backbone, results are very bad. And even, training for longer making the resulting image...

I noticed a code in the file "deeplab.py". That is, if backbone == 'drn': output_stride = 8 Why do we need to force to set the output stride to 8?...

Hello thank you for sharing the code :) I noticed that "xception pretrain model url " in https://github.com/jfzhang95/pytorch-deeplab-xception/blob/master/modeling/backbone/xception.py#L248 doesn't exist. Did anyone have the same problem? If you have solved...

Have you ever test the params of the net(dp3+,mobilenetv2)?I got 7.5M. But when I use the code in mmsegmentaion, I got 15M? I think the params is only related with...

Hello, first thank you for providing the code ! Could anybody tell me how the augmentation used in deeplabv3+ paper** is done? I have encountered some problem with mIoU issue....

In the project of pytorch-deeplab-xception , I can't find the inference.py file. so I can only make a trainning of my dataset

![Uploading thai-nickname-396184.png…]() _Originally posted by @unnln in https://github.com/jfzhang95/pytorch-deeplab-xception/issues/238#issuecomment-2289439845_

![Uploading 9da3c33a4903eb23970199c363aa29e9_0.jpeg…]() _Originally posted by @unnln in https://github.com/jfzhang95/pytorch-deeplab-xception/issues/236#issuecomment-2289434787_

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