环境：运行环境在docker容器中，推荐将dockerfile中的基础镜像更换为vnc相关镜像（官方提供的第二个demo https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_linux.html#run-the-demos需要GUI支持）。
# docker镜像地址：https://hub.docker.com/r/cortexica/openvino/dockerfile
下面是报错详细：
###################################################
Run Inference Engine classification sample
Run ./classification_sample_async -d CPU -i /opt/intel/openvino/deployment_tools/demo/car.png -m /root/openvino_models/ir/FP16//public/squeezenet1.1/squeezenet1.1.xml
[ INFO ] InferenceEngine:
API version ............ 2.1
Build .................. custom_releases/2019/R3_cb6cad9663aea3d282e0e8b3e0bf359df665d5d0
Description ....... API
[ INFO ] Parsing input parameters
[ INFO ] Parsing input parameters
[ INFO ] Files were added: 1
[ INFO ] /opt/intel/openvino/deployment_tools/demo/car.png
[ INFO ] Creating Inference Engine
CPU
MKLDNNPlugin version ......... 2.1
Build ........... 30677
[ INFO ] Loading network files
[ ERROR ] Error loading xmlfile: /root/openvino_models/ir/FP16//public/squeezenet1.1/squeezenet1.1.xml, File was not found at line: 1 pos: 0
Error on or near line 239; exiting with status 1
由于第一次运行失败，第一次失败日志没来及保存就被缓存覆盖。第一次失败的修复命令是：
pip3 install networkx==2.3
# 参考详见链接：https://forums.intel.com/s/question/0D50P00004Tweig/error-loading-xmlfile-cuserstwodocumentsintelopenvinoopenvinomodelsirfp16publicsqueezenet11squeezenet11xml-file-was-not-found-at-line-1-pos-0i-want-to-know-how-to-fix-this-bug?language=en_US
第二次报错为本文顶部错误信息，原因是由于第一次运行失败，产生了/root/openvino_models/ir/FP16//public/squeezenet1.1目录但没有生成目录下的文件，导致第二次判断失误，故删除此目录即可。
rm -rf /root/openvino_models/ir/FP16//public/squeezenet1.1
再次运行即可看到demo运行成功：
Top 10 results:
Image /opt/intel/openvino/deployment_tools/demo/car.png
classid probability label
------- ----------- -----
817 0.8364178 sports car, sport car
511 0.0945683 convertible
479 0.0419195 car wheel
751 0.0091233 racer, race car, racing car
436 0.0068038 beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon
656 0.0037315 minivan
586 0.0025940 half track
717 0.0016044 pickup, pickup truck
864 0.0012045 tow truck, tow car, wrecker
581 0.0005833 grille, radiator grille
[ INFO ] Execution successful
[ INFO ] This sample is an API example, for any performance measurements please use the dedicated benchmark_app tool
###################################################
Demo completed successfully.