@Crest6010 and
@105437 if you want to see if you can get the ALPR module working with your GPU you can try replace the OCR models with the attached. They go in the below highlighted folders, make a copy of the original folders first. I tested them and they do use less GPU memory.
View attachment 153412
Still no for me. Thanks though. Here's what showed up in the log
19:18:57:Request 'alpr' dequeued for processing (...4ee244)
19:18:57:License Plate Reader: Retrieved ALPR_queue command
19:18:57:Client request 'custom' in the queue (...ad81ef)
19:18:57:Request 'custom' dequeued for processing (...ad81ef)
19:18:57:Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command
19:18:57:Object Detection (YOLOv5 6.2): Detecting using license-plate
19:18:57:Response received (...ad81ef)
19:18:57:Object Detection (YOLOv5 6.2): Queue and Processing Object Detection (YOLOv5 6.2) command 'custom' (...ad81ef) took 62ms
19:18:57:ALPR_adapter.py: [2023/02/06 19:18:57] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process
19:18:57:ALPR_adapter.py: [2023/02/06 19:18:57] ppocr DEBUG: dt_boxes num : 2, elapse : 0.03918027877807617
19:18:57:ALPR_adapter.py: [2023/02/06 19:18:57] ppocr DEBUG: rec_res num : 2, elapse : 0.03213977813720703
19:18:57:ALPR_adapter.py: [2023/02/06 19:18:57] ppocr WARNING: Since the angle classifier is not initialized, the angle classifier will not be uesd during the forward process
19:18:57:ALPR_adapter.py: [2023/02/06 19:18:57] ppocr DEBUG: dt_boxes num : 2, elapse : 0.02330183982849121
19:18:58:ALPR_adapter.py: [2023/02/06 19:18:58] ppocr DEBUG: rec_res num : 2, elapse : 0.03301191329956055
19:18:58:License Plate Reader: Queue and Processing License Plate Reader command 'alpr' (...4ee244) took 233ms
19:18:58:Response received (...4ee244)