No Effect Model Compression

[ACapo]

I am trying to deploy a pre-trained Mobilenet model using STMCubeMX.ai, but I am facing some issue that I want to report.

Here the link of the project

https://github.com/alessandrocapotondi/mobilenet_stmcube_ai

Here the model I am using:

https://github.com/alessandrocapotondi/mobilenet_stmcube_ai/blob/master/keras_model/mobilenet_160_0_25.h5

For the model that I am using, the compression seems to have no effect:

• None (1.79MB)

• Compression 4 (1.79MB)

• Compression 8 (1.79MB)

Is it normal? There are any log that I can inspect to check what is going wrong?

PS: i will report another issue regarding the activation size on another topic.

[jean-michel.d · Accepted solution]

​Hello,

This is normal, because currently (X-CUBE-AI 3.4.0) the compression algorithm is only applied on the Dense layers. "mobilenet_160_0_25.h5" model have only the convulation layers. 

br,

Jean-Michel

[ACapo]

Thanks, I miss such information!