Hi everyone,
I’m new to Edge Impulse. I have created my simple project and faced anomaly scenario that the inference time in the studio is different from when deploying in the hardware. In the studio, it showed that about 1120ms while in my case, when running on the board, the inference time approximately about 3065ms.
Can anyone help me explain this issue clearly and let me know how to decrease the inference time when deploying in the board?
Model: Image classification using transfer learning against MobilenetV1
Target: STM32F407 DIscovery running at 168 MHz, 192Kb RAM and 1Mb Flash
Software: STM32CubeIDE