Greengrass组件无法打开摄像头

【以下的问题经过翻译处理】 你好。 我已将Greengrass v2的组件部署到Raspberry Pi（树莓派）上。我的制品中包含S3桶中的人脸识别推理代码。所以我创建并部署了这些组件。树莓派的状态正常，并且组件已经成功部署。但我遇到了一个错误。在我的推断代码中，有一个任务要打开并执行连接到Raspberry Pi 4的摄像头。 但是当我将其部署为组件时，它无法打开摄像头。我该怎么办？ 在树莓派4上运行代码时，它运行良好，但是当我将其部署为组件时，它不会运行。 请帮帮我！ 连接到我的树莓派4的摄像头是 Intel Realsense F450。 谢谢你。请帮帮我。 <组件日志> 2022-10-24T14:57:40.205Z [INFO] (pool-2-thread-28) com.example.jamesML: shell-runner-start. {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=STARTING, command=["cd /home/pi&&. pracvenv/bin/activate&&cd james_ml&&python3 practice.py"]} 2022-10-24T14:58:11.981Z [WARN] (Copier) com.example.jamesML: stderr. /home/pi/pracvenv/lib/python3.7/site-packages/h5py/init.py:40: UserWarning: h5py is running against HDF5 1.10.6 when it was built against 1.10.4, this may cause problems. {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=RUNNING} 2022-10-24T14:58:11.982Z [WARN] (Copier) com.example.jamesML: stderr. '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple). {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=RUNNING} 2022-10-24T14:58:11.982Z [WARN] (Copier) com.example.jamesML: stderr. WARNING:tensorflow:No training configuration found in the save file, so the model was not compiled. Compile it manually.. {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=RUNNING} 2022-10-24T14:58:11.998Z [WARN] (Copier) com.example.jamesML: stderr. [ WARN:0@15.489] global /tmp/pip-wheel-8c7uejek/opencv-python_88dbbad412c5416b992ae69de26299d6/opencv/modules/videoio/src/cap_v4l.cpp (902) open VIDEOIO(V4L2:/dev/video0): can't open camera by index. {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=RUNNING} 2022-10-24T14:58:12.005Z [INFO] (Copier) com.example.jamesML: stdout. Could not open webcam. {scriptName=services.com.example.jamesML.lifecycle.run.script, serviceName=com.example.jamesML, currentState=RUNNING} 2022-10-24T14:58:13.240Z [INFO] (Copier) com.example.jamesML: Run script exited. {exitCode=0, serviceName=com.example.jamesML, currentState=RUNNING}

<返回报文> { "RecipeFormatVersion": "2020-01-25", "ComponentName": "com.example.jamesML", "ComponentVersion": "1.0.19", "ComponentType": "aws.greengrass.generic", "ComponentDescription": "Capstone Design james machine learning.", "ComponentPublisher": "Me", "ComponentConfiguration": { "DefaultConfiguration": { "accessControl": { "aws.greengrass.ipc.mqttproxy": { "com.example.jamesML:mqttproxy:1": { "policyDescription": "Allows access to publish via topic ml/dlr/image-classification.", "operations": [ "aws.greengrass#PublishToIoTCore" ], "resources": [ "ml/dlr/image-classification" ] } } } } }, "Manifests": [ { "Platform": { "os": "linux", "architecture": "arm" }, "Lifecycle": { "install": { "Script": "" }, "run": { "script": "cd /home/pi&&. pracvenv/bin/activate&&cd james_ml&&python3 practice.py" } }, "Artifacts": [ { "Uri": "s3://greengrass-sagemaker-0930/james_ml.zip", "Digest": "Bc8JmqcuVXamFOuXHeEGMoNovRTgwo9sJQEcsgpqoDo=", "Algorithm": "SHA-256", "Unarchive": "ZIP", "Permission": { "Read": "OWNER", "Execute": "NONE" } } ] } ], "Lifecycle": {} }