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scalaでJavaCV使ってみたかっただけ

Last updated at Posted at 2016-06-25

手順

  1. IntelliJ ideaでsbtプロジェクトを作成する
  2. build.sbtを編集する
  3. plugin.sbtを編集する

build.sbt

// @formatter:off

name         := "sample"
organization := "com.github.cive"


scalaVersion  := "2.11.8"
scalacOptions ++= Seq("-unchecked", "-deprecation", "-Xlint")

classpathTypes += "maven-plugin"

libraryDependencies ++= Seq(
  "org.scala-lang.modules" % "scala-swing_2.11" % "1.0.1",
  "junit"                   % "junit"           % "4.12" % "test",
  "com.novocode"            % "junit-interface" % "0.11" % "test"
)

resolvers ++= Seq(
  Resolver.sonatypeRepo("snapshots"),
  // Use local maven repo for local javacv builds
  "Local Maven Repository" at "file:///" + Path.userHome.absolutePath + "/.m2/repository"
)

autoCompilerPlugins := true

fork := true
javaOptions += "-Xmx1G"

shellPrompt in ThisBuild := { state => "sbt:" + Project.extract(state).currentRef.project + "> " }

plugin.sbt

  • sbt-javacvのバージョン1.7ではエラーが出たので1.6を使用
logLevel := Level.Warn

addSbtPlugin("org.bytedeco" % "sbt-javacpp" % "1.4")
addSbtPlugin("org.bytedeco" % "sbt-javacv" % "1.6")

sample.scala

import java.awt.image.BufferedImage
import java.awt.{AWTException, GraphicsEnvironment, Robot}
import java.io.IOException
import javax.swing.JFrame

import org.bytedeco.javacpp.opencv_core._
import org.bytedeco.javacv._

object mainApp extends App {
  val image: Mat = try {
    val bounds = GraphicsEnvironment.getLocalGraphicsEnvironment.getMaximumWindowBounds
    val robot = new Robot
    val screen: BufferedImage = robot.createScreenCapture(bounds)
    new OpenCVFrameConverter.ToMat().convert(new Java2DFrameConverter().convert(screen))
  } catch {
    case e: AWTException => {
      println("awt" + e)
      new Mat(1, 1, CV_8UC3)
    }
    case e: IOException  => {
      println("io" + e)
      new Mat(1, 1, CV_8UC3)
    }
  }
  val canvas = new CanvasFrame("My Image", 1)

  canvas.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE)

  val converter = new OpenCVFrameConverter.ToMat()
  canvas.showImage(converter.convert(image))
}
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