Skip to content

Latest commit

 

History

History
18 lines (14 loc) · 1.87 KB

README.md

File metadata and controls

18 lines (14 loc) · 1.87 KB
Raw

Mobilenet V1 on STM32H7 using STMCubeMX.AI (v4.1.0)

The repo contains STMWorkbench projects that aim to fit a Mobilenet v1 into an MCU STM32H7 using the STMCubeMX.AI flow. Note that the selected Mobilenet version is the biggest model that can be fitted on the MCU STM32H7 using the new v4.1.0 STMCubeMX.AI flow. In this updated version, 8-bit pre-trained TFLite models implementations are used.

Current Status

The repo is a collection of STMWorkbench projects containing different implementations of MobilenetV1 networks on the STM32H7 board. Particularly, it contains two Mobilenet v1 implementations (3,160,160, alpha=0.25 and 3,192,192, alpha=0.5) targeting the NUCLEO-H7432ZI board.

Content

  • MobileNet_v1_0.25_160_quant: STMWorkbench project for MobileNet v1 3,160,160, alpha=0.25 generated throught X-Cube-AI from 8-bit TFLite pre-trained model.
  • MobileNet_v1_0.5_192_quant: STMWorkbench project for MobileNet v1 3,192,192, alpha=0.5 generated throught X-Cube-AI from 8-bit TFLite pre-trained model.

Measured Performances

Model Million MACs Million Parameters Top-1 Accuracy Top-5 Accuracy CPU Cycles (MCycles) MMACs/cycle Latency @480MHz (s)
MobileNet_v1_0.50_192_quant 110 1.34 60.0 82.2 210 0.52 0.437 (2.28 fps)
MobileNet_v1_0.25_160_quant 21 0.47 43.4 68.5 51 0.42 0.106 (9.41 fps)