For Edge (DPUv2) - 1.1 English

Vitis AI User Guide (UG1414)

Document ID

UG1414

Release Date

2020-03-23

Version

1.1 English

Download the samples from host to the target using scp with the following command.
```
$scp -r ~/Vitis-AI/vart root@[IP_OF_BOARD]:~/
```
Download the vitis_ai_runtime_r1.1_image_video.tar.gz from host to the target using scp with the following command.
```
$scp vitis_ai_runtime_r1.1_image_video.tar.gz root@[IP_OF_BOARD]:~/
```

Unzip the vitis_ai_runtime_r1.1_image_video.tar.gz package.

$tar -xzvf vitis_ai_runtime_r1.1_image_video.tar.gz -C vart

Enter the directory of samples in the target board. Take resnet50 as an example.
```
#cd ~/vart/samples/resnet50
```
Run the example.
```
#./resnet50 model_dir_for_zcu102
```
Note: If the above executable program does not exist, run the following command to compile and generate the corresponding executable program.
```
#bash –x build.sh
```

The following table shows the run commands for all the Vitis AI samples.

Table 1. Launching Commands for Vitis AI Samples on ZCU102
ID	Example Name	Command
1	resnet50	./resnet50 model_dir_for_zcu102
2	resnet50_mt_py	python3 resnet50.py 1 model_dir_for_zcu102
3	inception_v1_mt_py	python3 inception_v1.py 1 model_dir_for_zcu102
4	pose_detection	./pose_detection video/pose.mp4 model_dir_for_zcu102
5	video_analysis	./video_analysis video/structure.mp4 model_dir_for_zcu102
6	adas_detection	./adas_detection video/adas.avi model_dir_for_zcu102
7	segmentation	./segmentation video/traffic.mp4 model_dir_for_zcu102