Pre-trained Free AI Application Libraries for RZ/V2L

General Information

• Free, open-source based library of pre-trained AI applications available on github.
• ⭐Source Code: https://github.com/Ignitarium-Renesas/RZV2L_AiLibrary
• This Library has API functions for leveraging AI applications that will run on Renesas RZ/V2L Board. Currently this library has following sample applications:
  • Human Head Counter
  • Line crossing object Counter
  • Elderly people fall detection (Work in progress)
  • Safety helmet and vest detection
  • Human age and gender detection (Work in progress)
  • Face recognition and spoof detection (Work in progress

Pre-Trained AI Article

Addition Notes

The Pre-trained models include pre-compiled applications as well as AI Models translated to run on the DRP-AI hardware. These files are located in the "exe" folder for each Pre-trained Application. These precompiled application are compiled for the Renesas RZV2L EVK using the Coral MIPI Camera. This folder can be simple copied to the board using SCP recursive command. NOTE : Some Pre-trained Applicatino

Support USB Camera

By default the Pretrained Applications are compiled to use the MIPI camera. The Pre-trained applications can be modified to use USB camera. This modification is only relevant to applications that support video.

1. Open the application folder src folder. For example 01_Head_count/Head_count_cam/src
2. Open the define.h header file.
3. Find the following line. Comment out the macro that defines INPUT_CORAL.

/* Coral Camera support */
#define INPUT_CORAL

Sample Videos

Head Count	Line Count
Fall Detection	Age and Gender Detection
Face Recognition