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[a] detected:car:91% h786p0j:90% --SPLIT--[{"type": "object", "label": "car", "box": [10, 79, 415, 423], "confidence": "91.02%"}, {"type": "licenseplate", "label": "h786p0j", "box": [147, 380, 289, 412], "confidence": "90.40%"}]
[INFO] Using simple log output (default)
[INFO] Using simple log output (default)
[DEBUG 1] PlateRecognizer ALPR initialized with url: https://api.platerecognizer.com/v1
[DEBUG 1] supplied object is a file /tmp/car.jpg
[DEBUG 1] Plate Recognizer API usage stats: {"total_calls": 2500, "usage": {"year": 2020, "month": 7, "resets_on": "2020-08-03T00:00:00Z", "calls": 279}}
[DEBUG 2] ALPR JSON: {'processing_time': 95.3, 'results': [{'box': {'xmin': 147, 'ymin': 380, 'xmax': 289, 'ymax': 412}, 'plate': 'h786p0j', 'region': {'code': 'at', 'score': 0.109}, 'vehicle': {'score': 0.807, 'type': 'Car', 'box': {'xmin': 12, 'ymin': 62, 'xmax': 433, 'ymax': 444}}, 'score': 0.904, 'candidates': [{'score': 0.904, 'plate': 'h786p0j'}, {'score': 0.903, 'plate': 'h786poj'}, {'score': 0.783, 'plate': 'h7b6p0j'}, {'score': 0.781, 'plate': 'h7b6poj'}], 'dscore': 0.838}], 'filename': '2032_hZP4B_car.jpg', 'version': 1, 'camera_id': None, 'timestamp': '2020-07-27T20:32:46.626544Z'}
[DEBUG 2] ALPR will use 480x640 but Object uses 480x640 so ALPR boxes will be scaled 1.0x and 1.0y
[DEBUG 2] Exiting ALPR with labels:['h786p0j']
[a] detected:car:91% h786p0j:90% --SPLIT--[{"type": "object", "label": "car", "box": [10, 79, 415, 423], "confidence": "91.02%"}, {"type": "licenseplate", "label": "h786p0j", "box": [147, 380, 289, 412], "confidence": "90.40%"}]
[INFO] Using simple log output (default)
[INFO] Using simple log output (default)
[DEBUG 1] PlateRecognizer ALPR initialized with url: https://api.platerecognizer.com/v1
[DEBUG 1] supplied object is a file /tmp/car.jpg
[DEBUG 1] Plate Recognizer API usage stats: {"total_calls": 2500, "usage": {"year": 2020, "month": 7, "resets_on": "2020-08-03T00:00:00Z", "calls": 280}}
[DEBUG 2] ALPR JSON: {'processing_time': 94.807, 'results': [{'box': {'xmin': 147, 'ymin': 380, 'xmax': 289, 'ymax': 412}, 'plate': 'h786p0j', 'region': {'code': 'at', 'score': 0.109}, 'vehicle': {'score': 0.807, 'type': 'Car', 'box': {'xmin': 12, 'ymin': 62, 'xmax': 433, 'ymax': 444}}, 'score': 0.904, 'candidates': [{'score': 0.904, 'plate': 'h786p0j'}, {'score': 0.903, 'plate': 'h786poj'}, {'score': 0.783, 'plate': 'h7b6p0j'}, {'score': 0.781, 'plate': 'h7b6poj'}], 'dscore': 0.838}], 'filename': '2033_JL1X2_car.jpg', 'version': 1, 'camera_id': None, 'timestamp': '2020-07-27T20:33:44.789227Z'}
[DEBUG 2] ALPR will use 480x640 but Object uses 480x640 so ALPR boxes will be scaled 1.0x and 1.0y
[DEBUG 2] Exiting ALPR with labels:['h786p0j']
[a] detected:car:91% h786p0j:90% --SPLIT--[{"type": "object", "label": "car", "box": [10, 79, 415, 423], "confidence": "91.02%"}, {"type": "licenseplate", "label": "h786p0j", "box": [147, 380, 289, 412], "confidence": "90.40%"}]