cn.smartjavaai.ocr.model.plate.translator

类 Yolov8PlateDetectTranslator

java.lang.Object

cn.smartjavaai.ocr.model.plate.translator.Yolov8PlateDetectTranslator

所有已实现的接口:

ai.djl.translate.PostProcessor<ai.djl.modality.cv.output.DetectedObjects>, ai.djl.translate.PreProcessor<ai.djl.modality.cv.Image>, ai.djl.translate.Translator<ai.djl.modality.cv.Image,ai.djl.modality.cv.output.DetectedObjects>

public class Yolov8PlateDetectTranslator
extends Object
implements ai.djl.translate.Translator<ai.djl.modality.cv.Image,ai.djl.modality.cv.output.DetectedObjects>

作者:

dwj

构造器概要

构造器

构造器和说明
Yolov8PlateDetectTranslator(Map<String,?> arguments)

方法概要

限定符和类型	方法和说明
ai.djl.translate.Batchifier	getBatchifier()
ai.djl.ndarray.NDList	processInput(ai.djl.translate.TranslatorContext ctx, ai.djl.modality.cv.Image input)
ai.djl.modality.cv.output.DetectedObjects	processOutput(ai.djl.translate.TranslatorContext ctx, ai.djl.ndarray.NDList list)
static ai.djl.ndarray.NDArray	xywh2xyxy(ai.djl.ndarray.NDArray xywh)

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

从接口继承的方法 ai.djl.translate.Translator

batchProcessInput, batchProcessOutput, getExpansions, prepare

构造器详细资料

Yolov8PlateDetectTranslator

public Yolov8PlateDetectTranslator(Map<String,?> arguments)

方法详细资料

processInput

public ai.djl.ndarray.NDList processInput(ai.djl.translate.TranslatorContext ctx,
                                          ai.djl.modality.cv.Image input)

指定者:

processInput 在接口中 ai.djl.translate.PreProcessor<ai.djl.modality.cv.Image>

processOutput

public ai.djl.modality.cv.output.DetectedObjects processOutput(ai.djl.translate.TranslatorContext ctx,
                                                               ai.djl.ndarray.NDList list)

指定者:

processOutput 在接口中 ai.djl.translate.PostProcessor<ai.djl.modality.cv.output.DetectedObjects>

getBatchifier

public ai.djl.translate.Batchifier getBatchifier()

指定者:

getBatchifier 在接口中 ai.djl.translate.Translator<ai.djl.modality.cv.Image,ai.djl.modality.cv.output.DetectedObjects>

xywh2xyxy

public static ai.djl.ndarray.NDArray xywh2xyxy(ai.djl.ndarray.NDArray xywh)