added face detection

Lab11.iml

@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="WEB_MODULE" version="4">
+  <component name="NewModuleRootManager" inherit-compiler-output="true">
+    <exclude-output />
+    <content url="file://$MODULE_DIR$">
+      <sourceFolder url="file://$MODULE_DIR$/res" type="java-resource" />
+      <sourceFolder url="file://$MODULE_DIR$/src" isTestSource="false" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+    <orderEntry type="library" name="scala-sdk-2.13.12" level="project" />
+    <orderEntry type="library" name="bridj-0.7.0" level="project" />
+    <orderEntry type="library" name="slf4j-api-1.7.2" level="project" />
+    <orderEntry type="library" name="webcam-capture-0.3.12" level="project" />
+    <orderEntry type="library" name="bytedeco.javacv" level="project" />
+    <orderEntry type="library" name="bytedeco.javacv.platform" level="project" />
+  </component>
+</module>

src/TestArray.scala

@@ -0,0 +1,9 @@
+object TestArray extends App {
+  def arrayAvg(arr: Array[Double]): Double = {
+    if (arr.isEmpty) return 0
+    return arr.sum / arr.length
+  }
+
+  val arr: Array[Double] = Array.range(1, 1001).map(i => i.toDouble)
+  println(arrayAvg(arr))
+}

src/imagefilters/ImageFilters.scala

@@ -0,0 +1,189 @@
+package imagefilters
+
+import java.awt.Color
+
+/**
+ * This class implements the various image filters
+ */
+object ImageFilters {
+  // Default factors (reference values)
+  /*val SEPIA_FACTORS: Array[Array[Double]] = Array(
+    Array( 0.393, 0.769, 0.189),
+    Array( 0.349, 0.686, 0.168),
+    Array( 0.272, 0.534, 0.131)
+  )*/
+
+  // Adapted factors (matches the example in the instructions)
+  val SEPIA_FACTORS: Array[Array[Double]] = Array(
+    Array( 0.883, 0.004, 0.003),
+    Array(-0.058, 0.791,-0.097),
+    Array( 0.034,-0.244, 0.583)
+  )
+
+  def filter(src: Array[Array[Int]], func: (Int, Int, Int, Int, Int) => Int): Array[Array[Int]] = {
+    val width: Int = src.length
+    val height: Int = if (width == 0) 0 else src(0).length
+    val dst: Array[Array[Int]] = Array.ofDim(width, height)
+    for (x: Int <- 0 until width) {
+      for (y: Int <- 0 until height) {
+        dst(x)(y) = func(src(x)(y), x, y, width, height)
+      }
+    }
+    return dst
+  }
+  def filter(src: Array[Array[Int]], func: (Int) => Int): Array[Array[Int]] = filter(src, (value, x, y, width, height) => func(value))
+  def colorFilter(src: Array[Array[Color]], func: (Color, Int, Int, Int, Int) => Color): Array[Array[Color]] = {
+    val width: Int = src.length
+    val height: Int = if (width == 0) 0 else src(0).length
+    val dst: Array[Array[Color]] = Array.ofDim(width, height)
+    for (x: Int <- 0 until width) {
+      for (y: Int <- 0 until height) {
+        dst(x)(y) = func(src(x)(y), x, y, width, height)
+      }
+    }
+    return dst
+  }
+  def colorFilter(src: Array[Array[Color]], func: (Color) => Color): Array[Array[Color]] = colorFilter(src, (value, x, y, width, height) => func(value))
+
+  def duplicate(a: Array[Array[Int]]): Array[Array[Int]] = filter(a, (value) => value)
+  def threshold(a: Array[Array[Int]], thresh: Int): Array[Array[Int]] = filter(a, (value) => if (value > thresh) 255 else 0)
+  def mean(a: Array[Array[Int]]): Array[Array[Int]] = filter(a, (value, x, y, width, height) => {
+    if (x == 0 || x == width - 1 || y == 0 || y == height - 1) value
+    else {
+      var avg: Double = 0
+      for (dx: Int <- -1 to 1) {
+        for (dy: Int <- -1 to 1) {
+          avg += a(x+dx)(y+dy)
+        }
+      }
+      (avg/9.0).toInt
+    }
+  })
+  def mean(a: Array[Array[Int]], radius: Int): Array[Array[Int]] = {
+    if (radius < 0) throw new IllegalArgumentException("radius must be >= 0")
+    val diameter: Int = 2 * radius + 1
+
+    filter(a, (value, x, y, width, height) => {
+      if (x <= radius - 1 || x >= width - radius || y <= radius - 1 || y >= height - radius) value
+      else {
+        var avg: Double = 0
+        for (dx: Int <- -radius to radius) {
+          for (dy: Int <- -radius to radius) {
+            avg += a(x+dx)(y+dy)
+          }
+        }
+        (avg/(diameter * diameter)).toInt
+      }
+    })
+  }
+
+  def edges(a: Array[Array[Int]]): Array[Array[Int]] = filter(a, (value, x, y, width, height) => {
+    if (x == 0 || x == width - 1 || y == 0 || y == height - 1) value
+    else {
+      val dx: Int = a(x+1)(y) - a(x-1)(y)
+      val dy: Int = a(x)(y+1) - a(x)(y-1)
+      Math.sqrt(dx*dx + dy*dy).toInt
+    }
+  })
+
+  def sobel(a: Array[Array[Int]], intensityFactor: Double): Array[Array[Int]] = filter(a, (value, x, y, width, height) => {
+    if (x == 0 || x == width - 1 || y == 0 || y == height - 1) value
+    else {
+      val dx: Int = a(x+1)(y-1) + 2*a(x+1)(y) + a(x+1)(y+1) - a(x-1)(y-1) - 2*a(x-1)(y) - a(x-1)(y+1)
+      val dy: Int = a(x-1)(y+1) + 2*a(x)(y+1) + a(x+1)(y+1) - a(x-1)(y-1) - 2*a(x)(y-1) - a(x+1)(y-1)
+      (Math.sqrt(dx*dx + dy*dy)*intensityFactor).toInt
+    }
+  })
+
+  def noise(a: Array[Array[Int]], intensity: Double): Array[Array[Int]] = filter(a, (value) => {
+    Math.max(0, Math.min(255, value + (Math.random()*2-1)*intensity)).toInt
+  })
+
+  def noise(a: Array[Array[Color]], intensity: Double): Array[Array[Color]] = colorFilter(a, (col) => {
+    val r: Double = col.getRed + (Math.random()*2-1)*intensity
+    val g: Double = col.getGreen + (Math.random()*2-1)*intensity
+    val b: Double = col.getBlue + (Math.random()*2-1)*intensity
+    new Color(
+      Math.max(0, Math.min(255, r)).toInt,
+      Math.max(0, Math.min(255, g)).toInt,
+      Math.max(0, Math.min(255, b)).toInt
+    )
+  })
+
+  def mask(a: Array[Array[Color]], maskImg: Array[Array[Int]]): Array[Array[Color]] = {
+    val maskWidth: Int = maskImg.length
+    val maskHeight: Int = if (maskWidth == 0) 0 else maskImg(0).length
+
+    colorFilter(a, (col, x, y, width, height) => {
+      if (x >= maskWidth || y >= maskHeight) col
+      else {
+        val factor: Double = maskImg(x)(y)/255.0
+        new Color(
+          (col.getRed * factor).toInt,
+          (col.getGreen * factor).toInt,
+          (col.getBlue * factor).toInt
+        )
+      }
+    })
+  }
+
+  def getAvgInPixel(a: Array[Array[Color]], pixelSize: Int, px: Int, py: Int): Color = {
+    val width: Int = a.length
+    val height: Int = if (width == 0) 0 else a(0).length
+    var r: Double = 0
+    var g: Double = 0
+    var b: Double = 0
+    var cnt: Int = 0
+    for (x: Int <- px*pixelSize until (px+1)*pixelSize) {
+      for (y: Int <- py*pixelSize until (py+1)*pixelSize) {
+        if (x < width && y < height) {
+          cnt += 1
+          r += a(x)(y).getRed
+          g += a(x)(y).getGreen
+          b += a(x)(y).getBlue
+        }
+      }
+    }
+    return new Color((r/cnt).toInt, (g/cnt).toInt, (b/cnt).toInt)
+  }
+  def pixelize(a: Array[Array[Color]], pixelSize: Int): Array[Array[Color]] = {
+    val width: Int = a.length
+    val height: Int = if (width == 0) 0 else a(0).length
+    val hPixels: Int = Math.ceil(width.toDouble/pixelSize).toInt
+    val vPixels: Int = Math.ceil(height.toDouble/pixelSize).toInt
+    val pixels: Array[Array[Color]] = Array.ofDim[Color](hPixels, vPixels)
+    for (x: Int <- 0 until hPixels) {
+      for (y: Int <- 0 until vPixels) {
+        pixels(x)(y) = getAvgInPixel(a, pixelSize, x, y)
+      }
+    }
+
+    colorFilter(a, (col, x, y, w, h) => pixels(x/pixelSize)(y/pixelSize))
+  }
+
+  def pixelize(a: Array[Array[Color]], pixelSize: Int, x1: Int, y1: Int, x2: Int, y2: Int): Array[Array[Color]] = {
+    val pixelated: Array[Array[Color]] = pixelize(a, pixelSize)
+    colorFilter(a, (col, x, y, w, h) => {
+      if (x1 <= x && x <= x2 && y1 <= y && y <= y2) {
+        pixelated(x)(y)
+      }
+      else col
+    })
+  }
+
+  def sepia(a: Array[Array[Color]]): Array[Array[Color]] = colorFilter(a, (col) => {
+    val r: Double = Math.max(0, Math.min(255, col.getRed   * SEPIA_FACTORS(0)(0) +
+                                              col.getGreen * SEPIA_FACTORS(0)(1) +
+                                              col.getBlue  * SEPIA_FACTORS(0)(2)))
+
+    val g: Double = Math.max(0, Math.min(255, col.getRed   * SEPIA_FACTORS(1)(0) +
+                                              col.getGreen * SEPIA_FACTORS(1)(1) +
+                                              col.getBlue  * SEPIA_FACTORS(1)(2)))
+
+    val b: Double = Math.max(0, Math.min(255, col.getRed   * SEPIA_FACTORS(2)(0) +
+                                              col.getGreen * SEPIA_FACTORS(2)(1) +
+                                              col.getBlue  * SEPIA_FACTORS(2)(2)))
+
+    new Color(r.toInt, g.toInt, b.toInt)
+  })
+}

src/imagefilters/ImageProcessingApp.scala

@@ -0,0 +1,61 @@
+package imagefilters
+
+import isc.graphics.ImageGraphics
+
+object ImageProcessingApp extends App {
+
+	/*val imageFile = "./res/collins_eileen.png"
+	val org = new ImageGraphics(imageFile, "Original", -500, -250)
+	val dest = new ImageGraphics(imageFile, "Duplicate", 0, -250)
+	val thresh = new ImageGraphics(imageFile, "Threshold", -500, 250)
+
+    // Simple copy and display
+	val newPixels = ImageFilters.duplicate(org.getPixelsBW())
+	dest.setPixelsBW(newPixels)
+
+	thresh.setPixelsBW(ImageFilters.threshold(newPixels, 128))
+
+	val mean = new ImageGraphics("./res/imageProcessing.jpg", "Mean", 0, 250)
+	mean.setPixelsBW(ImageFilters.mean(mean.getPixelsBW()))
+
+	val mean2 = new ImageGraphics("./res/imageProcessing.jpg", "Mean 2", 250, 250)
+	mean2.setPixelsBW(ImageFilters.mean(mean2.getPixelsBW(), 4))
+
+	val edges = new ImageGraphics("./res/rice.jpg", "Edges", 500, 250)
+	edges.setPixelsBW(ImageFilters.edges(edges.getPixelsBW()))*/
+
+	/*val imageFile: String = "./res/grace_hopper.jpg"
+	val org = new ImageGraphics(imageFile, "Original", -768, -512)
+	val bw = new ImageGraphics(imageFile, "Black & White", -256, -512)
+	val threshold = new ImageGraphics(imageFile, "Threshold", 256, -512)
+	val blur = new ImageGraphics(imageFile, "Blurred", -768, 0)
+	val edges = new ImageGraphics(imageFile, "Edge detection", -256, 0)
+	val sobel = new ImageGraphics(imageFile, "Sobel", 256, 0)
+	val noise = new ImageGraphics(imageFile, "Noise", -768, 512)
+
+	bw.setPixelsBW(ImageFilters.duplicate(org.getPixelsBW()))
+	threshold.setPixelsBW(ImageFilters.threshold(org.getPixelsBW(), 128))
+	blur.setPixelsBW(ImageFilters.mean(org.getPixelsBW(), 3))
+	edges.setPixelsBW(ImageFilters.edges(org.getPixelsBW()))
+	sobel.setPixelsBW(ImageFilters.sobel(org.getPixelsBW(), 0.3))
+	noise.setPixelsBW(ImageFilters.noise(org.getPixelsBW(), 30))*/
+
+	/*val imageFile: String = "./res/collins_eileen.png"
+	val maskFile: String = "./res/mask.png"
+	val org = new ImageGraphics(imageFile, "Original", -768, -512)
+	val mask = new ImageGraphics(maskFile, "Mask", -256, -512)
+	val masked = new ImageGraphics(imageFile, "Masked", 256, -512)
+	masked.setPixelsColor(ImageFilters.mask(org.getPixelsColor(), mask.getPixelsBW()))*/
+
+	/*val imageFile: String = "./res/grace_hopper.jpg"
+	val org = new ImageGraphics(imageFile, "Original", -768, -512)
+	val pixelated = new ImageGraphics(imageFile, "Pixelated", -256, -512)
+	pixelated.setPixelsColor(ImageFilters.pixelize(org.getPixelsColor(), 30, 130, 120, 400, 230))*/
+
+	val imageFile: String = "./res/collins_eileen.png"
+	val org = new ImageGraphics(imageFile, "Original", -768, -512)
+	val sepia = new ImageGraphics(imageFile, "Sepia", -256, -512)
+	val noise = new ImageGraphics(imageFile, "Noise", 256, -512)
+	sepia.setPixelsColor(ImageFilters.sepia(org.getPixelsColor()))
+	noise.setPixelsColor(ImageFilters.noise(org.getPixelsColor(), 50))
+}

src/isc/graphics/ImageGraphics.scala

@@ -0,0 +1,241 @@
+package isc.graphics
+
+import java.awt._
+import java.awt.image.BufferedImage
+import java.io.{File, FileInputStream}
+import javax.imageio.ImageIO
+import javax.swing.{JFrame, JPanel}
+
+/**
+ * [ImageGraphics] helpers functions in companion object.
+ */
+object ImageGraphics {
+	/**
+	 * Converts a color array to a black-or-white array
+	 *
+	 * @param c The color array
+	 * @return The array converted to BW
+	 */
+	def convertToGray(c: Array[Array[Color]]): Array[Array[Color]] = {
+		val w = c.length
+		val h = c(0).length
+		val values = Array.ofDim[Color](w, h)
+
+		// FIXME this is slow
+		for (i <- 0 until w) {
+			for (j <- 0 until h) {
+				val col = c(i)(j)
+				val intColor = (0.3 * col.getRed + 0.59 * col.getGreen + 0.11 * col.getBlue).toInt
+				values(i)(j) = new Color(intColor, intColor, intColor)
+			}
+		}
+		values
+	}
+
+	def convertToGrayInt(c: Array[Array[Color]]): Array[Array[Int]] = {
+		val w = c.length
+		val h = c(0).length
+		val values = Array.ofDim[Int](w, h)
+		for (i <- 0 until w) {
+			for (j <- 0 until h) {
+				val col = c(i)(j)
+				val intColor = (0.3 * col.getRed + 0.59 * col.getGreen + 0.11 * col.getBlue).toInt
+				values(i)(j) = intColor
+			}
+		}
+		values
+	}
+
+	def main(args: Array[String]): Unit = {
+		val imageUsed = "res/grace_hopper.jpg"
+		val org = new ImageGraphics(imageUsed, "Original", 0, 0)
+	}
+}
+
+/**
+ * This class was made to deal with images as multidimensional arrays.
+ * Mainly used in the <code>ImageProcessing</code> lab. It expects the images to reside in the <code>src</code> directory
+ *
+ * @author Pierre-André Mudry
+ * @version 1.0
+ * @constructor
+ *
+ * @param filePath        the path of the file, relative to the project. For instance, "./res/grace_hopper.jpg"
+ * @param windowTitle     the title
+ * @param xPositionOffset the x offset
+ * @param yPositionOffset the y offet
+ */
+class ImageGraphics(val filePath: String, val windowTitle: String,
+						  val xPositionOffset: Int, val yPositionOffset: Int) extends JFrame {
+
+	private var imgBuffer: BufferedImage = null
+	private var w = 0
+	private var h = 0
+
+	class ImgPanel extends JPanel {
+		override def paint(g: Graphics): Unit = {
+			super.paint(g)
+			g.drawImage(imgBuffer, 0, 0, null)
+			g.dispose()
+		}
+	}
+
+	val imgPanel = new ImgPanel()
+
+	try { // Fill the frame content with the image
+		try {
+			imgBuffer = ImageIO.read(new FileInputStream(new File(filePath)))
+			w = imgBuffer.getWidth
+			h = imgBuffer.getHeight
+		} catch {
+			case e: Exception =>
+				println("Could not load directly, using classpath.")
+		}
+
+		// If the first technique failed, try using resource instead
+		if (imgBuffer == null) {
+			try {
+				imgBuffer = ImageIO.read(classOf[ImageGraphics].getResource(filePath))
+				w = imgBuffer.getWidth
+				h = imgBuffer.getHeight
+			} catch {
+				case e: Exception =>
+					System.err.println("Could not find image " + filePath + ", exiting !")
+					e.printStackTrace()
+					System.exit(-1)
+			}
+		}
+
+		this.setResizable(false)
+		this.setTitle(windowTitle)
+		this.setLayout(new BorderLayout())
+		this.setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE)
+
+		imgPanel.setPreferredSize(new Dimension(imgBuffer.getWidth, imgBuffer.getHeight))
+		this.add(imgPanel, BorderLayout.CENTER)
+		this.pack()
+
+		// Get the size of the screen
+		val dim = Toolkit.getDefaultToolkit.getScreenSize
+
+		// Determine the new location of the window
+		val lw = this.getSize.width
+		val lh = this.getSize.height
+		val x = (dim.width - lw) / 2 + xPositionOffset
+		val y = (dim.height - lh) / 2 + yPositionOffset
+
+		// Move the window
+		this.setLocation(x, y)
+		this.setVisible(true)
+	} catch {
+		case e: Exception =>
+			e.printStackTrace()
+	}
+
+	/**
+	 * Sets a grayscale pixel, does not sets values for invalid pixels
+	 * outside the screen. Does not repaint the screen either because it
+	 * is slow.
+	 *
+	 * @param x
+	 * @param y
+	 * @param intensity
+	 */
+	def setPixelBW(x: Int, y: Int, intensity: Int): Unit = {
+		if (!((x < 0) || (y < 0) || (x >= w) || (y >= h)))
+			imgBuffer.setRGB(x, y, intensity << 16 | intensity << 8 | intensity)
+	}
+
+	/**
+	 * Sets an array of grayscale pixels (from 0 to 255) and displays them
+	 *
+	 * @param pixels
+	 */
+	def setPixelsBW(pixels: Array[Array[Int]]): Unit = {
+		try {
+			if (pixels(0).length != h || pixels.length != w) throw new Exception("Invalid size of the pixel array !")
+			for (i <- 0 until w) {
+				for (j <- 0 until h) {
+					val c = pixels(i)(j) << 16 | pixels(i)(j) << 8 | pixels(i)(j)
+					imgBuffer.setRGB(i, j, c)
+				}
+			}
+			this.repaint()
+		} catch {
+			case e: Exception =>
+				e.printStackTrace()
+		}
+	}
+
+	/**
+	 * Sets an array of pixels of Color and displays them
+	 *
+	 * @param pixels
+	 */
+	def setPixelsColor(pixels: Array[Array[Color]]): Unit = {
+		try {
+			if (pixels(0).length != h || pixels.length != w) throw new Exception("Invalid size of the pixel array !")
+
+			for (i <- 0 until w) {
+				for (j <- 0 until h) {
+					imgBuffer.setRGB(i, j, pixels(i)(j).getRGB)
+				}
+			}
+			this.repaint()
+		} catch {
+			case e: Exception =>
+				e.printStackTrace()
+		}
+	}
+
+	/**
+	 * Gets a single pixel from the background image and returns its
+	 * grayscale value
+	 *
+	 * @param x the x coordinate
+	 * @param y the y coordinate
+	 * @return the pixel
+	 */
+	def getPixelBW(x: Int, y: Int): Int =
+		if ((x < 0) || (y < 0) || (x >= w) || (y >= h)) {
+			0
+		}
+		else {
+			// Inside the image. Make the gray conversion and return the value
+			val c = new Color(imgBuffer.getRGB(x, y))
+			(0.3 * c.getRed + 0.59 * c.getGreen + 0.11 * c.getBlue).toInt
+		}
+
+	/**
+	 * Gets the array of the pixels (which have been converted to grayscale
+	 * if required)
+	 *
+	 * @return The arrays of gray pixels
+	 */
+	def getPixelsBW(): Array[Array[Int]] = {
+		val values = Array.ofDim[Int](w, h)
+
+		for (i <- 0 until w) {
+			for (j <- 0 until h) {
+				val c = new Color(imgBuffer.getRGB(i, j))
+				values(i)(j) = (0.3 * c.getRed + 0.59 * c.getGreen + 0.11 * c.getBlue).toInt
+			}
+		}
+		values
+	}
+
+	/**
+	 * Gets the array of the pixels as Colors (see #Color)
+	 *
+	 * @return The arrays of pixels
+	 */
+	def getPixelsColor(): Array[Array[Color]] = {
+		val values = Array.ofDim[Color](w, h)
+		for (i <- 0 until w) {
+			for (j <- 0 until h) {
+				values(i)(j) = new Color(imgBuffer.getRGB(i, j))
+			}
+		}
+		values
+	}
+}

src/livefilter/FaceDetection.scala

@@ -0,0 +1,36 @@
+package livefilter
+
+import org.bytedeco.javacpp.Loader
+import org.bytedeco.javacpp.indexer.UByteRawIndexer
+import org.bytedeco.opencv.global.opencv_core.CV_8U
+import org.bytedeco.opencv.opencv_core.{Mat, Rect, RectVector}
+import org.bytedeco.opencv.opencv_objdetect.CascadeClassifier
+
+import java.io.File
+import java.net.URL
+
+object FaceDetection {
+  val url: URL = new URL("https://raw.github.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_alt.xml")
+  val file: File = Loader.cacheResource(url)
+  val classifierName: String = file.getAbsolutePath
+  val cascade: CascadeClassifier = new CascadeClassifier(classifierName)
+
+  def detectFaces(src: Array[Array[Int]]): Array[Rect] = {
+    val grayFrame: Mat = new Mat()
+    val width: Int = src.length
+    val height: Int = if (width == 0) 0 else src(0).length
+    grayFrame.create(height, width, CV_8U)
+
+    val idx: UByteRawIndexer = grayFrame.createIndexer()
+
+    for (x: Int <- 0 until width) {
+      for (y: Int <- 0 until height) {
+        idx.put(y, x, src(x)(y))
+      }
+    }
+
+    val faces: RectVector = new RectVector()
+    cascade.detectMultiScale(grayFrame, faces)
+    return faces.get()
+  }
+}

src/livefilter/LiveFilter.scala

@@ -0,0 +1,103 @@
+package livefilter
+
+import com.github.sarxos.webcam.WebcamPanel.DrawMode
+import com.github.sarxos.webcam.{Webcam, WebcamImageTransformer, WebcamPanel, WebcamResolution}
+import imagefilters.ImageFilters
+import org.bytedeco.opencv.opencv_core.{Rect, RectVector}
+
+import java.awt.image.BufferedImage
+import java.awt.{Color, Dimension}
+import java.io.{File, FileInputStream}
+import javax.imageio.ImageIO
+import javax.swing.JFrame
+
+object LiveFilter {
+	def main(args: Array[String]): Unit = {
+		new LiveFilter()
+	}
+}
+
+/**
+ * A live filter class using VGA resolution
+ */
+class LiveFilter extends WebcamImageTransformer {
+	val size: Dimension = WebcamResolution.VGA.getSize
+
+	val MASK: String = "./res/mask640x480.png"
+	val videoMask: Array[Array[Int]] = toBW(ImageIO.read(new FileInputStream(new File(MASK))))
+
+	// Gets default webcam and sets image transformer to this (transformer will modify
+	// image after it's been received from webcam, in this case it will rotate it)
+	val webcam: Webcam = Webcam.getDefault
+
+	//val webcam: Webcam = Webcam.getWebcamByName("/dev/video2")
+
+	webcam.setViewSize(size)
+	println(size)
+	webcam.setImageTransformer(this)
+	webcam.open
+
+	// Create a window
+	val window = new JFrame("Test filter")
+
+	// Creates a panel to put the webcam image in it
+	val panel = new WebcamPanel(webcam)
+	panel.setFPSDisplayed(true)
+	panel.setDrawMode(DrawMode.FIT)
+
+	// Add panel to window
+	window.add(panel)
+	window.pack()
+	window.setVisible(true)
+
+	window.setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE)
+
+	def toBW(img: BufferedImage): Array[Array[Int]] = {
+		val o = Array.ofDim[Int](img.getWidth(), img.getHeight())
+		for (x <- o.indices) {
+			for (y <- o(0).indices) {
+				val c = new Color(img.getRGB(x, y))
+				o(x)(y) = (0.3 * c.getRed + 0.59 * c.getGreen + 0.11 * c.getBlue).toInt
+			}
+		}
+		o
+	}
+
+	def toArray(image: BufferedImage): Array[Array[Color]] = {
+		val out = Array.ofDim[Color](image.getWidth, image.getHeight)
+
+		for (x <- out.indices; y <- out(0).indices) {
+			out(x)(y) = new Color(image.getRGB(x, y))
+		}
+
+		out
+	}
+
+	private def updateImage(in: Array[Array[Color]], out: BufferedImage): Unit = {
+		for (x <- in.indices; y <- in(0).indices) {
+			out.setRGB(x, y, in(x)(y).getRGB)
+		}
+	}
+
+	/**
+	 * Applies the various filters to the buffer
+	 *
+	 * @param image The input image
+	 * @return The filtered image
+	 */
+	override def transform(image: BufferedImage): BufferedImage = {
+		val img: Array[Array[Color]] = toArray(image)
+
+		val bw: Array[Array[Int]] = toBW(image)
+		val faces: Array[Rect] = FaceDetection.detectFaces(bw)
+		var filtered: Array[Array[Color]] = img
+		for (rect: Rect <- faces) {
+      filtered = ImageFilters.pixelize(filtered, 10, rect.x, rect.y, rect.x+rect.width, rect.y+rect.height)
+    }
+
+		//val filtered: Array[Array[Color]] = ImageFilters.mask(ImageFilters.sepia(ImageFilters.noise(img, 10)), videoMask)
+
+		updateImage(filtered, image)
+		return image
+	}
+}