Deployment on Data Center cards - 3.0 English

• Copy the compiled model to the work place

  [Docker]$ cp compiled/resnet50_tf.xmodel ~

• Download the vitis_ai_runtime_r3.0.0_image_video.tar.gz package and unzip it in the docker container.

  
  [Docker]# cd /workspace/examples
  [Docker]# wget https://www.xilinx.com/bin/public/openDownload?filename=vitis_ai_runtime_r3.0.0_image_video.tar.gz -O vitis_ai_runtime_r3.0.0_image_video.tar.gz
  [Docker]# tar -xzvf vitis_ai_runtime_r3.0.0_image_video.tar.gz -C vai_runtime

• Environment variable setup in docker container.

  source /workspace/board_setup/vck5000/setup.sh DPUCVDX8H_8pe_normal

• Build and Run the resnet50 example.

  
  [Docker] cd /workspace/examples/vai_runtime/resnet50
  [Docker] bash -x build.sh
  [Docker] ./resnet50 ~/resnet50_tf.xmodel

The result is shown below.