Target Application
ADAS/AD
AI Model, Performance, and Power
- FPN
- 512x288, 4ch, 20fp
- VPGNET
- 640x480, 1ch, 56fps
- 20W @ ZU9EG
Building and Running the Demo
Build the demo in the host and copy the program to the target board.
cd Vitis-AI/demo/Vitis-AI-Library/apps/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, 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_r2.0.0_video.tar.gz. Download the package from here.
- Due to limitations of the Docker environment, the MultiTask demos cannot run in the DRM mode on Cloud devices.
Figure 1. Segmentation and Roadline Detection Demo Picture