Result Miou about pytorch-deeplab-xception

[jfzhang95]

Did you use the latest code to train the model?
Network architecture defined in previous version has some problems.

Below is my training log and results,

[emedinac]

I tried some epochs but I didn't get good results.
My metrics are:
Loss: 281652.201770, miou: 0.3599

[jfzhang95]

I think you can train model with more epoch because
modified xception do not have a pretrained model and
also you can use tensorboardX to visualize outputs of
training data.

[emedinac]

well, I am training the model using the original configuration (including the pre-trained model you used) and it is in the epoch 50. I attach the current results.

[Epoch: 49, numImages: 10582]
Loss: 254079.521480
Execution time: 1499.6592651726678
Save model at .../deeplabv3plus-xception-voc_epoch-49.pth
Validation:
[Epoch: 49, numImages:  1449]
Loss: 243406.573831
MIoU: 0.387194

[emedinac]

Hi, ok, yes I think I am doing something wrong. because I trained another model and I got better results.

[jfzhang95]

Thank you for your patience and interest in this code.

Further discussion about performance of this code can be moved to #12 .