Comments (7)
warmspringwinds
commented on July 1, 2024
Hi,
I might have messed up the model -- I will have a look at it.
Could you try the resnet 34 8s instead ? -- that should work
Thank you.
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sagar1garg
commented on July 1, 2024
@warmspringwinds Tried that as well. Getting the below error.
RuntimeError: Error(s) in loading state_dict for Resnet34_8s:
Missing key(s) in state_dict: "resnet34_8s.conv1.weight", "resnet34_8s.bn1.running_var", "resnet34_8s.bn1.bias", "resnet34_8s.bn1.weight", "resnet34_8s.bn1.running_mean", "resnet34_8s.layer1.0.conv1.weight", "resnet34_8s.layer1.0.bn1.running_var", "resnet34_8s.layer1.0.bn1.bias", "resnet34_8s.layer1.0.bn1.weight", "resnet34_8s.layer1.0.bn1.running_mean", "resnet34_8s.layer1.0.conv2.weight", "resnet34_8s.layer1.0.bn2.running_var", "resnet34_8s.layer1.0.bn2.bias", "resnet34_8s.layer1.0.bn2.weight", "resnet34_8s.layer1.0.bn2.running_mean", "resnet34_8s.layer1.1.conv1.weight", "resnet34_8s.layer1.1.bn1.running_var", "resnet34_8s.layer1.1.bn1.bias", "resnet34_8s.layer1.1.bn1.weight", "resnet34_8s.layer1.1.bn1.running_mean", "resnet34_8s.layer1.1.conv2.weight", "resnet34_8s.layer1.1.bn2.running_var", "resnet34_8s.layer1.1.bn2.bias", "resnet34_8s.layer1.1.bn2.weight", "resnet34_8s.layer1.1.bn2.running_mean", "resnet34_8s.layer1.2.conv1.weight", "resnet34_8s.layer1.2.bn1.running_var", "resnet34_8s.layer1.2.bn1.bias", "resnet34_8s.layer1.2.bn1.weight", "resnet34_8s.layer1.2.bn1.running_mean", "resnet34_8s.layer1.2.conv2.weight", "resnet34_8s.layer1.2.bn2.running_var", "resnet34_8s.layer1.2.bn2.bias", "resnet34_8s.layer1.2.bn2.weight", "resnet34_8s.layer1.2.bn2.running_mean", "resnet34_8s.layer2.0.conv1.weight", "resnet34_8s.layer2.0.bn1.running_var", "resnet34_8s.layer2.0.bn1.bias", "resnet34_8s.layer2.0.bn1.weight", "resnet34_8s.layer2.0.bn1.running_mean", "resnet34_8s.layer2.0.c...
Unexpected key(s) in state_dict: "resnet18_8s.conv1.weight", "resnet18_8s.bn1.weight", "resnet18_8s.bn1.bias", "resnet18_8s.bn1.running_mean", "resnet18_8s.bn1.running_var", "resnet18_8s.bn1.num_batches_tracked", "resnet18_8s.layer1.0.conv1.weight", "resnet18_8s.layer1.0.bn1.weight", "resnet18_8s.layer1.0.bn1.bias", "resnet18_8s.layer1.0.bn1.running_mean", "resnet18_8s.layer1.0.bn1.running_var", "resnet18_8s.layer1.0.bn1.num_batches_tracked", "resnet18_8s.layer1.0.conv2.weight", "resnet18_8s.layer1.0.bn2.weight", "resnet18_8s.layer1.0.bn2.bias", "resnet18_8s.layer1.0.bn2.running_mean", "resnet18_8s.layer1.0.bn2.running_var", "resnet18_8s.layer1.0.bn2.num_batches_tracked", "resnet18_8s.layer1.1.conv1.weight", "resnet18_8s.layer1.1.bn1.weight", "resnet18_8s.layer1.1.bn1.bias", "resnet18_8s.layer1.1.bn1.running_mean", "resnet18_8s.layer1.1.bn1.running_var", "resnet18_8s.layer1.1.bn1.num_batches_tracked", "resnet18_8s.layer1.1.conv2.weight", "resnet18_8s.layer1.1.bn2.weight", "resnet18_8s.layer1.1.bn2.bias", "resnet18_8s.layer1.1.bn2.running_mean", "resnet18_8s.layer1.1.bn2.running_var", "resnet18_8s.layer1.1.bn2.num_batches_tracked", "resnet18_8s.layer2.0.conv1.weight", "resnet18_8s.layer2.0.bn1.weight", "resnet18_8s.layer2.0.bn1.bias", "resnet18_8s.layer2.0.bn1.running_mean", "resnet18_8s.layer2.0.bn1.running_var", "resnet18_8s.layer2.0.bn1.num_batches_tracked", "resnet18_8s.layer2.0.conv2.weight", "resnet18_8s.layer2.0.bn2.weight", "resnet18_8s.layer2.0.bn2.bias", "resnet1...
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warmspringwinds
commented on July 1, 2024
Seems like you are trying to init 34 model and load weights of 18 model.
Try loading the weights of 34 model -- I took it from the table:
https://www.dropbox.com/s/91wcu6bpqezu4br/resnet_34_8s_68.pth?dl=0
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sagar1garg
commented on July 1, 2024
@warmspringwinds Using 34 model worked but the result is very poor. Any specific reason?
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warmspringwinds
commented on July 1, 2024
Make sure you changed your model into eval mode
Also this is not the best model -- try psp
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sagar1garg
commented on July 1, 2024
can't find a demo file or model link for psp
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warmspringwinds
commented on July 1, 2024
I will upload them a bit later
For now you can try reducing the size of the input image. This will help
since network was trained on images of 380 size on average.
…On Sat, Aug 24, 2019 at 1:00 PM sagar1garg ***@***.***> wrote:
can't find a demo file or model link for psp
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Related Issues (20)
- about Resnet18_8s HOT 2
- Unable to run resnet_34_8s_demo.ipynb HOT 8
- CRF implementation HOT 1
- Could you please add a license file HOT 2
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- I want to train on my own custom dataset.What is the process of doing that?What should be the format of annotations?
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- Error when trying to run resnet_34_8s_test HOT 1
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- fully_conv in vgg16 HOT 1
- No such file or directory: 'resnet_34_8s_66.pth' HOT 6
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- adaptive_computation_time HOT 2
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