Closed eccoope closed 1 year ago
The weights from the link you send are for UNet model. For deeplab I just used the pretrianed weights from pytorch.
The deeplab tutorial needs updates since the training was interrupted so that's why you see the "load epoch 14" code. I will fix that tutorial soon.
In the meanwhile, you can check the unet_prediction tutorial in which I show how to use the modelhandler, which is a new method I added recently to train the model.
@X-Chen97 Thanks for letting me know. Would you still be able to publish a list of dependencies for the notebooks?
Hello, could you please be more specific? What kind of dependencies do you refer to here?
BTW the new tutorial for depplab training is published as modelhandler_train.ipynb in the tutorial.
I'm referring to the package versions needed for the tutorials. The list in requirements.txt are not correct for the tutorials - specifically the commands used in these tutorials require torchvision>=0.12.0 and pytorch>=1.8.0. I would like to know what versions you are using for these tutorials.
Ok thanks for pointing this out. I will update the requirement soon
Is there a tutorial for using the UNet model?
check modelhanlder_prediction.ipynb
I am going to close this issue. Feel free to open new issues if you have questions!
In cell #14 of deeplab.ipynb, pretrained model weights are loaded in with
model.load_state_dict(torch.load("output/weights_epoch14.pth"))
Which set of weights from the trained models available at https://datahub.duramat.org/dataset/neural-network-weights is this line loading in? Additionally, it appears that all of the state_dict keys associated with the available pretrained models are in a different format (i.e. different prefixes) than what is expected by the DeepLabHead resnet50 model. This makes it very difficult to load them into the model. Note - I am using torchvision==0.14.1 and pytorch==1.13.1. This configuration differs from the versions outlined in requirements.txt, but the line
from torchvision import transforms
in deeplab.ipynb requires pytorch>=1.8.0 and the line
from torchvision.models.segmentation import deeplabv3_resnet50
requires torchvision>=0.12.0. It would be great if a list of requirements for this specific notebook was provided.