awesome-semantic-segmentation-pytorch
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aux
deeplabv3plus demo
Missing key(s) in state_dict: "auxlayer.block.0.weight", "auxlayer.block.1.weight", "auxlayer.block.1.bias", "auxlayer.block.1.running_mean", "auxlayer.block.1.running_var", "auxlayer.block.4.weight", "auxlayer.block.4.bias".
When i set aux =False is Ok What the aux mean?
Are you trying to load a different backbone file? I got a similar error when I tried to load a different xception model file while trying to run deeplabv3plus.
The same, i use the resnet101 now.
At 2019-10-13 01:49:11, "sainatarajan" [email protected] wrote:
Are you trying to load a different backbone file? I got a similar error when I tried to load a different xception model file while trying to run deeplabv3plus.
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deeplabv3plus demo Missing key(s) in state_dict: "auxlayer.block.0.weight", "auxlayer.block.1.weight", "auxlayer.block.1.bias", "auxlayer.block.1.running_mean", "auxlayer.block.1.running_var", "auxlayer.block.4.weight", "auxlayer.block.4.bias".
When i set aux =False is Ok What the aux mean?
Hi,Can you tell me where to set “aux = False”? thks
deeplabv3plus demo Missing key(s) in state_dict: "auxlayer.block.0.weight", "auxlayer.block.1.weight", "auxlayer.block.1.bias", "auxlayer.block.1.running_mean", "auxlayer.block.1.running_var", "auxlayer.block.4.weight", "auxlayer.block.4.bias". When i set aux =False is Ok What the aux mean?
Hi,Can you tell me where to set “aux = False”? thks
Can be set here.
deeplabv3plus demo Missing key(s) in state_dict: "auxlayer.block.0.weight", "auxlayer.block.1.weight", "auxlayer.block.1.bias", "auxlayer.block.1.running_mean", "auxlayer.block.1.running_var", "auxlayer.block.4.weight", "auxlayer.block.4.bias". When i set aux =False is Ok What the aux mean?
Hi,Can you tell me where to set “aux = False”? thks
Can be set here.
Thank you very much for your reply. I checked and found it was “aux = False”, so what else could possibly lead to such a mistake?
If you use the deeplab, maybe you can check here.
If you use the deeplab, maybe you can check here.
I used fcn +resnet50 train the model and called fcnv2.py when running demo.py, but I found no place to set "aux" in fcnv2.py.
If you use the deeplab, maybe you can check here.
I used fcn +resnet50 train the model and called fcnv2.py when running demo.py, but I found no place to set "aux" in fcnv2.py.
If you use the deeplab, maybe you can check here.
I used fcn +resnet50 train the model and called fcnv2.py when running demo.py, but I found no place to set "aux" in fcnv2.py.
Please check self.aux in fcnv2.py is true or false. 47/5000 I found and modified self.aux=Flase in fcnv2.py, and demo. py can run normally, thank you very very much!