我使用opencv_480查找图像模糊，因为我使用unmanagedBase在build.sbt中添加了opencv-480.jar作为外部库，添加jar文件后，我可以导入其库并在我的sbt-shell中成功使用。
但现在我想dockerize我的项目，因为我创建了一个我的scala项目的图像使用sbt-native-packager并编写一个docker compose它，当我做docker-compose up它通过一个错误。

scala-service_1  | Exception in thread "main" java.lang.UnsatisfiedLinkError: no opencv_java480 in java.library.path: [/usr/java/packages/lib, /usr/lib64, /lib64, /lib, /usr/lib]
scala-service_1  |  at java.base/java.lang.ClassLoader.loadLibrary(ClassLoader.java:2673)
scala-service_1  |  at java.base/java.lang.Runtime.loadLibrary0(Runtime.java:830)
scala-service_1  |  at java.base/java.lang.System.loadLibrary(System.java:1873)
scala-service_1  |  at blurriness.CheckBlurry$.isImageBlurry(CheckBlurry.scala:11)

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这是我的建筑。sbt

import com.typesafe.sbt.packager.docker._

ThisBuild / version := "0.1.0-SNAPSHOT"

ThisBuild / scalaVersion := "2.13.4"

lazy val root = (project in file("."))
  .settings(
    name := "document-verification"
  )

enablePlugins(JavaAppPackaging, DockerPlugin)

Docker / packageName := "document-identification-test"

Docker / version := "0.0.1"
dockerExposedPorts := Seq(8085)

dockerChmodType := DockerChmodType.UserGroupWriteExecute
dockerPermissionStrategy := DockerPermissionStrategy.CopyChown
dockerAdditionalPermissions += (DockerChmodType.UserGroupPlusExecute, "/var/run/")

fork := true

    val openCVNativeLibPath = file("/opencv_lib/native_libs")
unmanagedBase := baseDirectory.value / "opencv_lib"

run / javaOptions += s"-Djava.library.path=${openCVNativeLibPath.getAbsolutePath}"

Docker / daemonUserUid := None
Docker / daemonUser := "root"

dockerBaseImage := "openjdk:11"

型
我已经将native-libs和opencv-480.jar添加到opencv_lib目录中（opencv_lib是在根级别创建的）。
这是我的主类CheckBlurry.scala

import logfactory.LogFactory.logger
import org.opencv.core.{Core, CvType, Mat, MatOfDouble}
import org.opencv.imgcodecs.Imgcodecs
import org.opencv.imgproc.Imgproc

object CheckBlurry extends App {
  def isImageBlurry(imagePath: String): Boolean = {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME)
    val image = Imgcodecs.imread(imagePath)
    val gray = new Mat()
    Imgproc.cvtColor(image, gray, Imgproc.COLOR_BGR2GRAY)
    val laplacian = new Mat()
    Imgproc.Laplacian(gray, laplacian, CvType.CV_64F)
    val variance = new MatOfDouble()
    Core.meanStdDev(laplacian, new MatOfDouble(), variance)
    println("variance: {}", variance.get(0, 0)(0))
    val threshold = 35
    variance.get(0, 0)(0) < threshold
  }

  val isBlurry = isImageBlurry("src/main/resources/blurImage.png")
  
  if (isBlurry) {
    logger.info("Image is blurry")
  } else {
    logger.info("Image is not blurry")
  }
}

型
我的项目Image是（使用sbt-native-packager创建的）

document-identification-test                   0.0.1           eb7f17b525d1   3 hours ago     736MB

型
我的docker-compose

version: '3'
services:
  scala-service:
    image: document-identification-test:0.0.1
    ports:
      - "8085:8085"
    volumes:
      - ./opencv_lib:/opencv_lib

型
我是在正确的为什么还是做了一些错误的dockerizing我的项目？为什么我的项目在sbt-shell中运行，但在docker容器中抛出错误？