Adding integration with Google Cloud Logging and Storage #2215
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…o Google Cloud Logging ; upload the detection pictures to Google Cloud Storage.
…ced parameters to the storage bucket and blob path.
…rson detected images to files only if the folder exists.
|
@dtrawins I looked at the pull request, the current person_vehicle_bike_detection.py has |
…d could take 91GB within 3 days.
Adding GCS folder of date and hour. Parameterized GCP log name.
…ge. Handled exceptions are stored in Cloud Logging as Warning:
{
"insertId": "1h2367hfi0sbxr",
"jsonPayload": {
"uploaded_destination": "Error uploading file: 412 POST https://storage.googleapis.com/upload/storage/v1/b/$PROJECT_ID_ephemeral/o?uploadType=multipart&ifGenerationMatch=0: {\n \"error\": {\n \"code\": 412,\n \"message\": \"At least one of the pre-conditions you specified did not hold.\",\n \"errors\": [\n {\n \"message\": \"At least one of the pre-conditions you specified did not hold.\",\n \"domain\": \"global\",\n \"reason\": \"conditionNotMet\",\n \"locationType\": \"header\",\n \"location\": \"If-Match\"\n }\n ]\n }\n}\n: ('Request failed with status code', 412, 'Expected one of', <HTTPStatus.OK: 200>)",
"sample-interval-seconds": 10,
"confidence": 0.9408159852027893,
"picture": "/mnt/1tb/ftp/ipcam/autodelete/person-detection/detected-person_2024-08-12_17-57-04.507467.png",
"camera_id": "us-amcrest-cam-0"
},
"resource": {
"type": "global",
"labels": {
"project_id": "$PROJECT_ID"
}
},
"timestamp": "2024-08-13T00:58:35.529757583Z",
"severity": "WARNING",
"logName": "projects/$PROJECT_ID/logs/person-detection",
"receiveTimestamp": "2024-08-13T00:58:35.529757583Z"
}
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Enhance the use case to integrate with Google Cloud logging and storage in the post processing of the image frame method. I want to have this reviewed as a draft. I want to create a RTSP security camera person detection use case for detecting people in the video stream. The alerts are sent by configured Google Cloud log based alert.