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qinenergy / corda

[ICCV 2021] Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
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Warning:optimizer contains a parameter group with duplicate parameters #13

Closed yuheyuan closed 1 year ago

yuheyuan commented 2 years ago

I follow you code, and train a model. But it results may not meet the need.

I eval the model you share .

bash shells/eval_syn2city.sh

your share model. in syn2city : 19 classes : meanIout: 0.4771 I train the model: in syn2city : 19 classes : meanIout: only: 0.46.7

in the train. I find the warning, So I want to know if it may cause the result drop.

/home/ailab/anaconda3/envs/yy_CORDA/lib/python3.7/site-packages/torch/optim/sgd.py:68: UserWarning: optimizer contains a parameter group with duplicate parameters; in future, this will cause an error; see github.com/pytorch/pytorch/issues/40967 for more information
  super(SGD, self).__init__(params, defaults)
D_init tensor(134.8489, device='cuda:0', grad_fn=<DivBackward0>) D tensor(134.5171, device='cuda:0', grad_fn=<DivBackward0>)
qinenergy commented 2 years ago

Hi, your achieved result (46.7/19*16=55.5 in 16 classes) is already slightly better than what we reported in the paper 55.0 mIoU.

As we mentioned in the ReadMe file Table, the paper's result(55.0) is based on 5 different runs. The provided model~(56.3) is our best run.