编译及运行应用

准备数据。
1. 您可以从以下链接中获取ResNet-50网络的模型文件（*.prototxt）、预训练模型文件（*.caffemodel）。
  - ResNet-50网络的模型文件（*.prototxt）：单击Link下载该文件。
  - ResNet-50网络的预训练模型文件（*.caffemodel）：单击Link下载该文件。
2. 参考《ATC工具使用指南》将ResNet-50网络转换为适配昇腾AI处理器的离线模型（*.om文件），转换模型时，需配置色域转换参数，用于将YUV420SP格式的图片转换为RGB格式的图片。
  切换到vdec_resnet50_classification样例目录，命令示例如下，从output参数设置的目录下获取om文件：
```
atc --model=caffe_model/resnet50.prototxt --weight=caffe_model/resnet50.caffemodel --framework=0 --output=model/resnet50_aipp --soc_version=${soc_version} --insert_op_conf=caffe_model/aipp.cfg
```
  - --soc_version：昇腾AI处理器的版本，请根据实际情况替换。
    可从ATC安装路径的“atc/data/platform_config”目录下查看昇腾AI处理器的版本，对应“*.ini”文件的名字（不带.ini后缀）即为soc_version。
  - --output：生成的om文件建议命名为resnet50_aipp.om，并以管理员帐号将om文件上传到开发环境的“样例目录\model”目录下，否则在编译代码前，您还需要修改sample_process.cpp中的omModelPath参数值。
```
const char* omModelPath = "../model/resnet50_aipp.om";
```
3. 准备输入视频码流。
  从以下链接获取输入视频码流文件，并以运行用户上传至开发环境的“vdec_resnet50_classification样例目录/data”目录下。如果目录不存在，需自行创建。
  
  https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/models/aclsample/vdec_h265_1frame_rabbit_1280x720.h265
以管理员帐号登录开发环境，并切换到vdec_resnet50_classification样例所在的目录。
编译代码。
1. 在样例目录下，创建目录用于存放编译文件，例如，本文中，依次创建的目录为“build\intermediates\soc”。
2. 以管理员身份执行cmd窗口，切换到“样例目录\build\intermediates\soc”目录下，执行cmake生成编译文件，在“样例目录\out\Debug”或“样例目录\out\release”目录下生成可执行文件main.exe，将Debug或release目录下的main.exe复制到“样例目录\out”目录下，否则会导致运行可执行文件时找不到依赖的文件。
  “../../../src”表示CMakeLists.txt文件所在的目录，请根据实际目录层级修改。
  - Debug模式时的编译命令如下：
```
cd 样例目录\build\intermediates\soc
cmake ../../../src -DCMAKE_SKIP_RPATH=TRUE -G "Visual Studio 15 2017 Win64"
cmake --build .
```
  - Release模式下的编译命令如下：
```
cd 样例目录\build\intermediates\soc
cmake ../../../src -DCMAKE_SKIP_RPATH=TRUE -G "Visual Studio 15 2017 Win64" -DCMAKE_CONFIGURATION_TYPES=release
cmake --build . --config release
```
  当前样例的编码字符集为ASCII，编译命令默认都是ASCII编码字符集，不支持Unicode编码字符集，如需支持Unicode编码字符集，需用户自行适配代码。

运行应用。

以管理员帐号将开发环境的vdec_resnet50_classification样例目录及其子文件上传到运行环境（Host）。
以管理员帐号登录运行环境（Host）。

以管理员身份执行cmd窗口，切换到可执行文件main.exe所在的目录，运行可执行文件。

main.exe

可执行文件执行成功后，在屏幕上的关键提示信息示例如下：

......
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_0, size=4000
[INFO]  start check result file:./result/model_output_0
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_0.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_1, size=4000
[INFO]  start check result file:./result/model_output_1
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_1.txt]
[INFO]  result:classType[688],top1[0.596680],top5[0.901611]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_2, size=4000
[INFO]  start check result file:./result/model_output_2
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_2.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_3, size=4000
[INFO]  start check result file:./result/model_output_3
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_3.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_4, size=4000
[INFO]  start check result file:./result/model_output_4
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_4.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_5, size=4000
[INFO]  start check result file:./result/model_output_5
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_5.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_6, size=4000
[INFO]  start check result file:./result/model_output_6
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_6.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_7, size=4000
[INFO]  start check result file:./result/model_output_7
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_7.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_8, size=4000
[INFO]  start check result file:./result/model_output_8
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_8.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  Process dvpp success
[INFO]  model execute success
[INFO]  output[0] DataBuffer, buffer addr = 0x10100007c000, buffer size = 4000
[INFO]  memcopy output data from device to host buffer success.
[INFO]  create output file success, filename=./result/model_output_9, size=4000
[INFO]  start check result file:./result/model_output_9
[INFO]  check result success, file exist
[INFO]  reselut file: [./result/model_output_9.txt]
[INFO]  result:classType[331],top1[0.908203],top5[1.000015]
[INFO]  unload model success, modelId is 1
[INFO]  execute sample success
......

可执行文件运行过程中，VDEC解码成功后，模型推理前，会在main文件同级生成outdir目录，用于保存解码后的YUV420SP NV12格式的图片，推理结束后，系统会自动清理outdir目录。
可执行文件执行成功后，同时会在main文件同级的result目录下生成结果文件，便于后期查看。*.h265格式的视频码流（仅包含一帧）被解码出一张YUV420SP NV12格式的图片，对该张图片做十次循环处理，包括缩放图片和模型推理，分别得到十张图片的推理结果：
- model_output_*：模型推理结果的二进制文件。
- model_output_*.txt：模型推理结果的txt文件。

父主题： 基于Caffe ResNet-50网络实现图片分类（视频解码+同步推理）