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Hello,
I am working on a real time deep learning model with NCS 2 with beaglebone black.
I successfully did inference, however, "loading the model to device" is quite slow. It takes about 15 minutes with beaglebone and about 1 minute with a mini PC. I want to learn the reason why it takes such time, and want to decrease the time.
In addition, the time is varying according to the model I used. For example faster r-cnn takes less time than mask r-cnn.
Thanks in advance,
Best regards
Taylan
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Hi Taylan,
The loading time may vary from model to model depending on the framework, topology and size. Could you share additional information about the model that you are using?
- What framework is the model based on?
- What topology is the model based on?
- What is the size of the model?
- Is it a pre-trained model or a custom trained model?
For your loading time comparison, are you also loading the model to the Intel NCS 2 with mini PC?
Regards,
Jesus
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