Target Application
- ADAS/AD
AI Model, Performance, and Power
- FPN
- 512x288, 4ch, 20fps
- VPGNET
- 640x480, 1ch, 56fps
- 20W @ ZU9EG
Build and Run the Demo
Build the demo in the host and copy the program to the target board.
$cd ~/Vitis-AI/Vitis-AI-Library/overview/demo/segs_and_roadline_detect
$bash -x build.sh
$scp segs_and_roadline_detect_x segs_and_roadline_detect_drm root@IP_OF_BOARD:~/
To use OpenCV display, run the following command.
#./segs_and_roadline_detect_x seg_512_288.avi seg_512_288.avi seg_512_288.aviseg_512_288.avi lane_640_480.avi -t 2 -t 2 -t 2 -t 2 -t 3 >/dev/null 2>&1
If you want to use DRM display, please connect to the board using SSH and run the following command.
#./segs_and_roadline_detect_drm seg_512_288.avi seg_512_288.avi seg_512_288.avi
seg_512_288.avi lane_640_480.avi -t 2 -t 2 -t 2 -t 2 -t 3 >/dev/null 2>&1
Note:
- The video files are in the vitis_ai_library_r1.2.0_video.tar.gz. Please download the package from here.
- Due to the limitation of Docker environment, the Multi-Task demos cannot run in DRM mode on the cloud devices.
Demo Picture
Figure 1. Segmentation and Roadline Detection Demo Picture