Pre-trained Free AI Application Libraries for RZ/V2L: Difference between revisions
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** Face recognition and spoof detection (Work in progress | ** Face recognition and spoof detection (Work in progress | ||
[https://www.renesas.com/us/en/document/lbr/renesas-rzv-pre-trained-ai-library '''Pre-Trained AI Article'''] | [https://www.renesas.com/us/en/document/lbr/renesas-rzv-pre-trained-ai-library '''Pre-Trained AI Article'''] | ||
= 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. | |||
# Open the application folder src folder. For example [https://github.com/Ignitarium-Renesas/RZV2L_AiLibrary/tree/main/01_Head_count/Head_count_cam/src 01_Head_count/Head_count_cam/src] | |||
# Open the [https://github.com/Ignitarium-Renesas/RZV2L_AiLibrary/blob/main/01_Head_count/Head_count_cam/src/define.h define.h] header file. | |||
# Find the following line. Comment out the macro that defines INPUT_CORAL. | |||
<pre> | |||
/* Coral Camera support */ | |||
#define INPUT_CORAL | |||
</pre> | |||
= Sample Videos = | = Sample Videos = | ||
Revision as of 19:10, 29 March 2023
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
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.
- Open the application folder src folder. For example 01_Head_count/Head_count_cam/src
- Open the define.h header file.
- 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 |