示例#1
0
        public static List <RecognizerResult> Detect(string imageFile)
        {
            List <RecognizerResult> rcgnResultList = new List <RecognizerResult>();

            Image <Bgr, Byte> image;

            try
            {
                image = new Image <Bgr, byte>(imageFile); //Read the files as an 8-bit Bgr image
            }
            catch (Exception e)
            {
                return(rcgnResultList);
            }

            // if image is too large, resize it
            if (image.Width > 480)
            {
                image = image.Resize(((double)480 / (double)image.Width), INTER.CV_INTER_CUBIC);
            }

            List <Rectangle> faces = new List <Rectangle>();

            DetectFace.Detect(image, "haarcascade_frontalface_default.xml", faces);

            Image <Bgr, Byte> markedImage = image.Copy();

            for (int index = 0; index < faces.Count; index++)
            {
                Rectangle face = faces[index];

                // Save the detected faces to testing set
                Image <Gray, Byte> result = image.Copy(face).Convert <Gray, Byte>();
                result = result.Resize(trainingImgWidth, trainingImgHeight, INTER.CV_INTER_CUBIC);

                string fileName = String.Format(@".\testingset\{0}.face{1}.bmp",
                                                Path.GetFileName(imageFile), index);
                result.Save(fileName);

                // Mark the detected face on the image
                markedImage.Draw(face, new Bgr(Color.Blue), 2);

                // Try to recognize the face
                RecognizerResult rcgnResult = Recognize(fileName);
                rcgnResultList.Add(rcgnResult);
            }

            // Save the marked image to testing set
            markedImage.Save(String.Format(@".\testingset\marked\{0}.bmp", Path.GetFileName(imageFile)));
            return(rcgnResultList);
        }
示例#2
0
        public static RecognizerResult Recognize(string unknownImg)
        {
            RecognizerResult rcgnResult = new RecognizerResult();

            if (recognizer == null)
                return null;

            // Recognize the image
            Image<Gray, Byte> testImage = new Image<Gray, Byte>(unknownImg);

            float[] distances = recognizer.GetEigenDistances(testImage);
            string[] labels = recognizer.Labels;
            int num = labels.Count();

            for (int i = 0; i < num; i++)
            {
                rcgnResult.Distances.Add(labels[i], distances[i]);
            }

            EigenObjectRecognizer.RecognitionResult result = recognizer.Recognize(testImage);

            if (result != null)
            {
                rcgnResult.Distance = result.Distance;
                rcgnResult.Label = result.Label;
            }
            rcgnResult.FileName = Path.GetFullPath(unknownImg);

            return rcgnResult;
        }