f4334277
 Hu Chunming
提交3rdparty
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import org.opencv.core.Core
import org.opencv.core.MatOfRect
import org.opencv.core.Point
import org.opencv.core.Scalar
import org.opencv.imgcodecs.Imgcodecs
import org.opencv.imgproc.Imgproc
import org.opencv.objdetect.CascadeClassifier
import reflect._
/*
* Detects faces in an image, draws boxes around them, and writes the results
* to "scalaFaceDetection.png".
*/
object ScalaDetectFaceDemo {
def run() {
println(s"\nRunning ${classTag[this.type].toString.replace("$", "")}")
// Create a face detector from the cascade file in the resources directory.
val faceDetector = new CascadeClassifier(getClass.getResource("/lbpcascade_frontalface.xml").getPath)
val image = Imgcodecs.imread(getClass.getResource("/AverageMaleFace.jpg").getPath)
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
val faceDetections = new MatOfRect
faceDetector.detectMultiScale(image, faceDetections)
println(s"Detected ${faceDetections.toArray.size} faces")
// Draw a bounding box around each face.
for (rect <- faceDetections.toArray) {
Imgproc.rectangle(
image,
new Point(rect.x, rect.y),
new Point(rect.x + rect.width,
rect.y + rect.height),
new Scalar(0, 255, 0))
}
// Save the visualized detection.
val filename = "scalaFaceDetection.png"
println(s"Writing ${filename}")
assert(Imgcodecs.imwrite(filename, image))
}
}
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