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Hi Alan,
I have used your Detecto framework code frequently on Google Colaboratory and have always successfully trained and used it for detection applications Colab. Recently I tried to train it on Google Colab and downloaded the model_weights.pth file. I used this file to run the detection locally on a Jetson Nano by Nvidia.
I faced the following Runtime error:
Error(s) in loading state_dict for FasterRCNN
I read through the previous issues and the workaround that you provided for buggy load function. However, you seem to have given model_name for a different model.
I'll be grateful if you could help me fix my problem and what model_name i can use for the workaround of load function.
The text was updated successfully, but these errors were encountered:
pranjshrivastava
changed the title
Confusion with workaround for using use a non-locally trained pth file for model_weights
Confusion with workaround for using a non-locally trained pth file for model_weights
Feb 1, 2023
Hi Alan,
I have used your Detecto framework code frequently on Google Colaboratory and have always successfully trained and used it for detection applications Colab. Recently I tried to train it on Google Colab and downloaded the model_weights.pth file. I used this file to run the detection locally on a Jetson Nano by Nvidia.
I faced the following Runtime error:
Error(s) in loading state_dict for FasterRCNN
I read through the previous issues and the workaround that you provided for buggy load function. However, you seem to have given model_name for a different model.
I'll be grateful if you could help me fix my problem and what model_name i can use for the workaround of load function.
The text was updated successfully, but these errors were encountered: