Machine Vision

cancel
Showing results for 
Search instead for 
Did you mean: 

Can not load .pb model into Labview 2018

I am trying to load my model which is trained by SVM and using HOG to extract feature. I also used torch to save this model after training (.pb file). But I cannot load .pb file into labview. Here is my .pb file and images

 

 

 

1.PNG

0 Kudos
Message 1 of 10
(5,379 Views)

Which version of tensorflow do you use ? 

 

ricky10116_real_0-1584694069397.png

0 Kudos
Message 2 of 10
(5,342 Views)

Please help me to solve this problem.Because I want to load this model (.pb file) to test my project. How can I do to load .pb file?

0 Kudos
Message 3 of 10
(5,335 Views)

Do you know your tensorflow version ? You need to use suggested version, other version is not working.  Because I make self-training model .pb in another version in the past, my solution is run code in other place. Not expert in the DL vi.....

0 Kudos
Message 4 of 10
(5,330 Views)

.pb file is a training character file which I used SVM algorithm in scikit-learn library. So how can I load .pb file into LabView to predict character ? Thank you so much 

0 Kudos
Message 5 of 10
(5,276 Views)

Should be like this

zdz_0-1622714013006.png

 

0 Kudos
Message 6 of 10
(4,659 Views)

 

 

I had this problem while running the model, please can someone help me ?

 

Capture.PNG

0 Kudos
Message 7 of 10
(4,357 Views)
Does the path of your pb model contain special characters?
0 Kudos
Message 8 of 10
(4,347 Views)

Did someone solved this issue?

 

I have the same problem with exactly the same error : 

LoisLbs_0-1671526013154.png

I created my model with Google AutoML and exported in .pb file.

0 Kudos
Message 9 of 10
(2,219 Views)

Clearly the issue is due to incompatibility with tensorflow version used in tensorflow LabVIEW API (TF1) and version used by Google AutoML to generate the model (TF2).

I think the only solution for now is to use python code to call model and then create a LabVIEW wrapper to call python code? 

0 Kudos
Message 10 of 10
(2,061 Views)