/*
 * Copyright 2019 Xilinx Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
Before running the program, please download the corresponding model and install it.
The model required by this sample is: resnet50
You can find the detailed informantion of this model under 
   Vitis-AI/models/AI-Model-Zoo/model-list/cf_resnet50_imagenet_224_224_7.7G_1.3/model.yaml

In the model.yaml, you will find the model's download links for different platforms. 
Please choose the corresponding model and download it.

Take ZCU102/ZCU104 as an example, execute the following commands to download and install the model.
	wget https://www.xilinx.com/bin/public/openDownload?filename=resnet50-zcu102_zcu104_kv260-r1.4.0.tar.gz -O resnet50-zcu102_zcu104_kv260-r1.4.0.tar.gz
	mkdir -p /usr/share/vitis_ai_library/models
	tar -xzvf resnet50-zcu102_zcu104_kv260-r1.4.0.tar.gz
	cp resnet50 /usr/share/vitis_ai_library/models -r

For U50, execute the following commands.
	wget https://www.xilinx.com/bin/public/openDownload?filename=resnet50-u50-DPUCAHX8H-r1.4.0.tar.gz -O resnet50-u50-DPUCAHX8H-r1.4.0.tar.gz
	sudo mkdir -p /usr/share/vitis_ai_library/models
	tar -xzvf resnet50-u50-DPUCAHX8H-r1.4.0.tar.gz
	sudo cp resnet50 /usr/share/vitis_ai_library/models -r 

