Deployment on Cloud cards - 2.5 English

• Copy the compiled model to the work place

  [Docker]$ cp compiled/resnet50_tf.xmodel ~

• Download the vitis_ai_runtime_r2.5.0_image_video.tar.gzpackage and unzip it in the docker container.

  
  [Docker]# cd /workspace/examples
  [Docker]# wget https://www.xilinx.com/bin/public/openDownload?filename=vitis_ai_runtime_r2.5.0_image_video.tar.gz -O vitis_ai_runtime_r2.5.0_image_video.tar.gz
  [Docker]# tar -xzvf vitis_ai_runtime_r2.5.0_image_video.tar.gz -C VART

• Environment variable setup in docker container.

  source /workspace/setup/alveo/setup.sh DPUCAHX8H

• Build and Run the resnet50 example.

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

The result is shown below.