GPU에서 번호판 인식 (RR) 및 RR 차량 인식 작업 최적화

Starting from DetectorPack 3.10, a utility was added to the RR LPR add-ons (see DetectorPack 애드온 설치), which allows you to create GPU network caches without using Axxon One. The presence of the cache speeds up the initialization and optimizes video memory consumption.

To optimize the operation of the License plate recognition (RR) and RR vehicles on GPU, do the following:

1. Stop the Server (see 서버 종료).
   

   Attention!

   If the system has the software running on GPU, it is necessary to stop its operation.

2. Create the GPU_CACHE_DIR system variable (see 부록 9. 시스템 변수 생성) by specifying in the Variable value field the path to the cache location with an arbitrary folder name. For example, D:\IX_GPU_cache. The specified directory will store the cache for all used detection tools and neural networks.

3. To call the utility, open in the command line: C:\Program Files\Common Files\AxxonSoft\DetectorPack\RoadarGpuCacheGenerator.exe and press Enter.

4. Select the required cache sets by specifying the y value:

   1. lpr recognition—recognition of a vehicle license plate;
   2. vehicle recognition—recognition of a vehicle.
      
      When you select the lpr recognition cache set, you need to specify the required countries in the numeric or alphabetic form. After you select all required countries, enter the -1 value.
      
      
   3. When you select the vehicle recognition cache set without lpr recognition,
      
      you must choose the territory where vehicle recognition is going to be performed:
      
      
      1. CIS countries (1);
      2. Other countries (2).
5. Select one of the accuracy and performance values by specifying the corresponding number:
   
   
   1. Medium accuracy, high performance of the GPU (1)—provides medium recognition accuracy, less load on the GPU;
   2. High accuracy, medium performance of the GPU (2)—provides high recognition accuracy, but creates a higher load on the GPU.
6. Specify the ID of the required GPU (see 검출 구성에 대한 일반 정보) and press Enter.
   
   

   As a result, the process of creating a cache will start, which will take about 30 minutes. The duration of the process depends on the selected types of cache, number of countries and NVIDIA GPU model.

Optimizing the operation of the License plate recognition (RR) and RR vehicles on GPU is complete.