環境：運行環境在docker容器中，推薦將dockerfile中的基礎鏡像更換爲vnc相關鏡像（官方提供的第二個demo https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_linux.html#run-the-demos需要GUI支持）。
# docker鏡像地址：https://hub.docker.com/r/cortexica/openvino/dockerfile
下面是報錯詳細：
###################################################
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
由於第一次運行失敗，第一次失敗日誌沒來及保存就被緩存覆蓋。第一次失敗的修復命令是：
pip3 install networkx==2.3
# 參考詳見鏈接：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
第二次報錯爲本文頂部錯誤信息，原因是由於第一次運行失敗，產生了/root/openvino_models/ir/FP16//public/squeezenet1.1目錄但沒有生成目錄下的文件，導致第二次判斷失誤，故刪除此目錄即可。
rm -rf /root/openvino_models/ir/FP16//public/squeezenet1.1
再次運行即可看到demo運行成功：
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.