license_plate_detection_and_recognition_mlu270.json 1009 B

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  1. {
  2. "plate_detector" : {
  3. "class_name" : "cnstream::Inferencer",
  4. "parallelism" : 1,
  5. "max_input_queue_size" : 20,
  6. "next_modules" : ["plate_ocr"],
  7. "custom_params" : {
  8. "model_path" : "../../../data/models/mobilenet_ssd_plate_detection_b4c4_bgra_mlu270.cambricon",
  9. "func_name" : "subnet0",
  10. "object_infer" : true,
  11. "obj_filter_name" : "VehicleFilter",
  12. "postproc_name" : "PostprocMSSDPlateDetection",
  13. "model_input_pixel_format" : "BGRA32",
  14. "threshold" : 0.6,
  15. "device_id" : 0
  16. }
  17. },
  18. "plate_ocr" : {
  19. "class_name" : "cnstream::Inferencer",
  20. "parallelism" : 1,
  21. "max_input_queue_size" : 20,
  22. "custom_params" : {
  23. "model_path" : "../../../data/models/lprnet_b4c4_bgra_mlu270.cambricon",
  24. "func_name" : "subnet0",
  25. "object_infer" : true,
  26. "obj_filter_name" : "PlateFilter",
  27. "preproc_name" : "PreprocLprnet",
  28. "postproc_name" : "PostprocLprnet",
  29. "threshold" : 0.8,
  30. "device_id" : 0
  31. }
  32. }
  33. }