package com.xindao.ocr.smartjavaai.model.plate.criteria;
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import ai.djl.Device;
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import ai.djl.modality.cv.Image;
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import ai.djl.repository.zoo.Criteria;
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import ai.djl.training.util.ProgressBar;
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import cn.smartjavaai.common.enums.DeviceEnum;
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import com.xindao.ocr.smartjavaai.config.PlateRecModelConfig;
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import com.xindao.ocr.smartjavaai.entity.PlateResult;
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import com.xindao.ocr.smartjavaai.enums.PlateRecModelEnum;
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import com.xindao.ocr.smartjavaai.model.plate.translator.CRNNPlateRecTranslator;
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import java.nio.file.Paths;
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import java.util.Objects;
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/**
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* @author dwj
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* @date 2025/7/8
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*/
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public class PlateRecCriterialFactory {
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public static Criteria<Image, PlateResult> createCriteria(PlateRecModelConfig config) {
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Device device = null;
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if(!Objects.isNull(config.getDevice())){
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device = config.getDevice() == DeviceEnum.CPU ? Device.cpu() : Device.gpu(config.getGpuId());
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}
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Criteria<Image, PlateResult> criteria = null;
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if(config.getModelEnum() == PlateRecModelEnum.PLATE_REC_CRNN){
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criteria =
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Criteria.builder()
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.optEngine("OnnxRuntime")
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.setTypes(Image.class, PlateResult.class)
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.optModelPath(Paths.get(config.getModelPath()))
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.optTranslator(new CRNNPlateRecTranslator())
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.optDevice(device)
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.optProgress(new ProgressBar())
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.build();
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}
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return criteria;
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}
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}
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