ljmerza / frigate_plate_recognizer

Identify license plates via Plate Recognizer and add them as sublabels to Frigate
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error: 'Unable to create interpreter' #50

Open joshtwc opened 4 months ago

joshtwc commented 4 months ago

ERROR - Failed to get plate number. Response: {'success': False, 'error': 'Unable to create interpreter', 'moduleId': 'ALPR', 'moduleName': 'License Plate Reader', 'code': 500, 'command': 'alpr', 'requestId': '3db6b41d-371d-4589-9d39-703041505523', 'inferenceDevice': 'CPU', 'analysisRoundTripMs': 95, 'processedBy': 'localhost', 'timestampUTC': 'Tue, 12 Mar 2024 17:02:41 GMT'}

I'm using codeproject.ai server with frigate + coral TPU. My codeproject looks like this: Server version: 2.5.6 System: Docker Operating System: Linux (Ubuntu 22.04) CPUs: Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz (Intel) 1 CPU x 6 cores. 12 logical processors (x64) System RAM: 15 GiB Platform: Linux BuildConfig: Release Execution Env: Docker Runtime Env: Production Runtimes installed: .NET runtime: 7.0.16 .NET SDK: Not found Default Python: Not found Go: Not found NodeJS: Not found Video adapter info: System GPU info: GPU 3D Usage 0% GPU RAM Usage 0 Global Environment variables: CPAI_APPROOTPATH = <root> CPAI_PORT = 32168

Any help would be greatly appreciated. It will still sometimes correctly read the plates and put the sublabels