Can't Re-Train ESRI Model

[rescobar]

Hi Folks,

I'm trying to retrain this model: Land Cover Classification (Aerial Imagery) - Overview (arcgis.com)

I run label features for deep learning and then export training data for deep learning.

 

 

I then run train deep learning model, but get this error:

Exception: Could not infer dataset type. Please specify a supported dataset type or ensure that the path contains valid exported training data from ArcGIS.


UnboundLocalError: local variable 'data_bunch' referenced before assignment

 

Is there a key parameter I'm missing?

[PavanYadav]

@rescobar Can you please confirm that you followed steps outlined here https://doc.arcgis.com/en/pretrained-models/latest/imagery/finetuning-the-land-cover-classification-...

how many image chips do you have in your training data? 

thanks
Pavan

[rescobar]

Yes, I cannot get "Export Training Data For Deep Learning" to work out of the toolbox

How many image chips do I need?  I have 500 chips using "Export Training Data For Deep Learning" from the "Label Objects for Deep Learning window". 

If I use export training data for deep learning out of the tool box from a shapefile I get a different error:

ERROR 002088: Feature class has not enough information for supervised training.

 

[PavanYadav]

@rescobar your feature class looks right to me. Try to use the Class Value Field parameter. If it does not work, please share it as a zip, I can try to investigate the issue at my end. 

[rescobar]

Hi @PavanYadav , see the data here:

rescobar_data

Thank you!

[PavanYadav]

@rescobar thanks I will look into it. 

[PavanYadav]

@rescobar looks like rescobar_data has expired. can you please share again? 

[rescobar]

Hi @PavanYadav  here is an updated link. Thank you!

rescobar_data

[PavanYadav]

@rescobar I'm so sorry but I cannot access the data .. I am sure it's at my end.. can you please email me at pyadav AT esri dot com.. I will share my ftp or you can just try to share it as an email attachment? thanks 

[rescobar]

Sorry, I've emailed you and shared with google drive rather than one drive:

Just following up on your comment on my post in the ESRI forum, I'm now able export training data, but am getting a different error.

My Training sample is here: https://drive.google.com/file/d/1VtMmMAqEKoerdlwOLfy0Ugq_ac__3EBo/view?usp=sharing

And the original data I was trying to send is here: https://drive.google.com/file/d/1OA_fkg4Q7BGwtJxO__RbxV2XpzFtmaDv/view?usp=sharing

Runtime Error:Error(s) in loading state_dict for DynamicUnet: size mismatch for layers.0.0.weight: copying a param with shape torch.Size([64, 3, 7, 7]) from checkpoint, the shape in current model is torch.Size([64, 4, 7, 7]). size mismatch for layers.10.layers.0.0.weight: copying a param with shape torch.Size([49, 99, 3, 3]) from checkpoint, the shape in current model is torch.Size([50, 100, 3, 3]). size mismatch for layers.10.layers.0.0.bias: copying a param with shape torch.Size([49]) from checkpoint, the shape in current model is torch.Size([50]). size mismatch for layers.10.layers.1.0.weight: copying a param with shape torch.Size([99, 49, 3, 3]) from checkpoint, the shape in current model is torch.Size([100, 50, 3, 3]). size mismatch for layers.10.layers.1.0.bias: copying a param with shape torch.Size([99]) from checkpoint, the shape in current model is torch.Size([100]). size mismatch for layers.11.0.weight: copying a param with shape torch.Size([9, 99, 1, 1]) from checkpoint, the shape in current model is torch.Size([4, 100, 1, 1]). size mismatch for layers.11.0.bias: copying a param with shape torch.Size([9]) from checkpoint, the shape in current model is torch.Size([4]).Training not successful.

Traceback (most recent call last):  File "c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Image Analyst Tools.tbx\TrainDeepLearningModel.tool\tool.script.execute.py", line 397, in <module>    execute()  File "c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Image Analyst Tools.tbx\TrainDeepLearningModel.tool\tool.script.execute.py", line 392, in execute    del training_model_object UnboundLocalError: local variable 'training_model_object' referenced before assignment

Thank you for your help!