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Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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RuntimeError: Error(s) in loading state_dict for DeepLabV3: size mismatch for classifier.classifier.3.weight: copying a param with shape torch.Size([21, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([3, 256,...

sorry to bother you again, when I use hrnetv2_32 as model without pretrained wights,I get a problem.can you tell me how to modify. ...... x_fused[branch_output_index] = x_fused[branch_output_index] + self.fuse_layers[branch_output_index][ RuntimeError:The...

Thank you again,I want to know if you will add Xception as Backbone in this repo?

Hi! First of all, I want to thank you for your implementation, it works like a charm. I want to ask you if you by any chance have an Xception...

The .tar file for the CityScape pretrained weight of DeepLabV3Plus-ResNet101 model seems to be invalid. I wonder if anyone had success extract the weight file from it.

The error message is as follows: ```python Traceback (most recent call last): File "main.py", line 383, in main() File "main.py", line 327, in main for (images, labels) in train_loader: File...

I changed some simple lines to gain better Python syntax.

Hello, can deeplabv3PLus_HRnetV2_32 be used to train Cityscapes datasets in the project

Hi! I saw you add the dropout layer in ASPP with p=0.1, but in pytorch official implement p=0.5(https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/deeplabv3.py, Line 105). Moreover, I can't find any sign of using dropout in...

how can we train our own datasets?