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PyTorch implementation of DeepLabv3

Results 15 DeepLabv3.pytorch issues
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main.py --train --exp lr7e-3 --epochs 50 --base_lr 0.007 raise ValueError('Expected more than 1 value per channel when training, got input size {}'.format(size)) ValueError: Expected more than 1 value per channel...

Hello, Is it possible for you to provide Pre-trained ResNet-18/34/50/101 model with GroupNormalization+WeightStandardization? Thank you.

Hi, thank you for your work, did you try to train it from scratch? Any recommendations for hyperparams? Thanks in advance!

Hi, I wanted to try your code on SWIMSEG dataset. It has only two classes- cloud and sky (background). I got IoU of 80%. But I wanted to BCELoss instead...

Thank you so much for sharing! But maybe I found an error in utils.py. When computing IOU, you filtered the pred where mask == 0. It will make the IOU...

This solves https://github.com/chenxi116/DeepLabv3.pytorch/issues/14

This is problem feedback: Traceback (most recent call last): File "main.py", line 188, in main() File "main.py", line 167, in main outputs = model(inputs.unsqueeze(0)) File "/home/zjh/anaconda3/envs/psmnet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 477, in __call__...

voc2012官网数据集实在下载的太慢,建议作者自己放百度云方便后来者学习

I'm trying to replicate your model, but I have a single-channel image as an input. So can you please help me on how to achieve it