public OpencvSource(string cam_or_url)
{
MAssert.Check(cam_or_url != string.Empty);
// check if cam_or_url is number
bool stream = false;
for (int i = 0; i < cam_or_url.Length; ++i)
{
stream = stream ||
(cam_or_url[i] < '0') ||
(cam_or_url[i] > '9');
}
if (stream)
{
// open stream
Console.WriteLine("opening stream '{0}'", cam_or_url);
capturer = new OpenCvSharp.VideoCapture(cam_or_url);
}
else
{
// convert to integer
int cam_id = Convert.ToInt32(cam_or_url, 10);
MAssert.Check(cam_id >= 0, "wrong webcam id");
// open vebcam
Console.WriteLine("opening webcam {0}", cam_id);
capturer = new OpenCvSharp.VideoCapture(cam_id);
MAssert.Check(capturer.IsOpened(), "webcam not opened");
// set resolution
capturer.Set(OpenCvSharp.CaptureProperty.FrameWidth, 1280);
capturer.Set(OpenCvSharp.CaptureProperty.FrameHeight, 720);
MAssert.Check(capturer.IsOpened(), "webcam not opened");
}
// sometimes first few frames can be empty even if camera is good
// so skip few frames
OpenCvSharp.Mat frame;
for (int i = 0; i < 10; ++i)
{
frame = capturer.RetrieveMat();
}
// check first two frames
OpenCvSharp.Mat image1 = new OpenCvSharp.Mat(), image2 = new OpenCvSharp.Mat();
capturer.Read(image1);
capturer.Read(image2);
Console.WriteLine("image1 size: {0}", image1.Size());
Console.WriteLine("image1 size: {0}", image2.Size());
MAssert.Check(
!image1.Empty() &&
!image2.Empty() &&
image1.Size() == image2.Size() &&
image1.Type() == OpenCvSharp.MatType.CV_8UC3 &&
image2.Type() == OpenCvSharp.MatType.CV_8UC3,
"error opening webcam or stream");
}
//https://stackoverflow.com/questions/52016253/python-np-array-equivilent-in-opencv-opencvsharp
public static Mat zeros_like(Mat a)
{
return(new Mat(a.Size(), a.Type(), new Scalar(0)));
}
// create the database
public Database(
string databaseDirPath,
Recognizer recognizer,
Capturer capturer,
float distanceThreshold)
{
vwElements = new List <VideoWorker.DatabaseElement>();
samples = new List <RawSample>();
thumbnails = new List <OpenCvSharp.Mat>();
names = new List <string>();
// check paths
MAssert.Check(Directory.Exists(databaseDirPath), "database not found");
// get directory content
List <string> path_l1 = new List <string>(Directory.EnumerateDirectories(databaseDirPath));
// check every element in that directory
ulong element_id_counter = 0;
for (int il1 = 0; il1 < path_l1.Count; ++il1)
{
// ignore files
if (!Directory.Exists(path_l1[il1]))
{
continue;
}
// so path_l1[il1] is supposed to be the path to the person directory
// get files inside i
List <string> path_l2 = new List <string>(Directory.EnumerateFiles(path_l1[il1]));
string name = string.Empty;
// search for the name.txt file
for (int il2 = 0; il2 < path_l2.Count; ++il2)
{
if (Path.GetFileName(path_l2[il2]) == "name.txt")
{
// put file content in the name
using (StreamReader sr = new StreamReader(path_l2[il2]))
{
name = sr.ReadToEnd();
}
}
}
// try to open each file as an image
for (int il2 = 0; il2 < path_l2.Count; ++il2)
{
if (Path.GetFileName(path_l2[il2]) == "name.txt")
{
continue;
}
Console.WriteLine("processing '{0}' name: '{1}'", path_l2[il2], name);
// read image with opencv
OpenCvSharp.Mat readed_image = OpenCvSharp.Cv2.ImRead(path_l2[il2]);
if (readed_image.Empty() || readed_image.Type() != OpenCvSharp.MatType.CV_8UC3)
{
Console.WriteLine("\n\nWARNING: can't read image '{0}'\n\n", path_l2[il2]);
continue;
}
byte[] data = new byte[readed_image.Total() * readed_image.Type().Channels];
Marshal.Copy(readed_image.DataStart, data, 0, (int)data.Length);
RawImage image = new RawImage(readed_image.Width, readed_image.Height, RawImage.Format.FORMAT_BGR, data);
// capture the face
List <RawSample> capturedSamples = capturer.capture(image);
if (capturedSamples.Count != 1)
{
Console.WriteLine("\n\nWARNING: detected {0} faces on '{1}' image instead of one, image ignored \n\n", capturedSamples.Count, path_l2[il2]);
continue;
}
RawSample sample = capturedSamples[0];
// make template
Template templ = recognizer.processing(sample);
// prepare data for VideoWorker
VideoWorker.DatabaseElement vwElement = new VideoWorker.DatabaseElement(element_id_counter++, (ulong)il1, templ, distanceThreshold);
vwElements.Add(vwElement);
samples.Add(sample);
thumbnails.Add(makeThumbnail(sample, name));
names.Add(name);
}
}
MAssert.Check((int)element_id_counter == vwElements.Count);
MAssert.Check((int)element_id_counter == samples.Count);
MAssert.Check((int)element_id_counter == thumbnails.Count);
MAssert.Check((int)element_id_counter == names.Count);
}
// make a thumbnail of a sample
public static OpenCvSharp.Mat makeThumbnail(
RawSample sample,
string name = "")
{
int thumbnail_size = Worker.thumbnail_size;
// buffer for the cutted image
MemoryStream stream = new MemoryStream();
// make a cut in bmp format
// so we don't waste time for encode/decode image
// just copying it few times, which is irrelevant
sample.cutFaceImage(
stream,
RawSample.ImageFormat.IMAGE_FORMAT_BMP,
RawSample.FaceCutType.FACE_CUT_BASE);
OpenCvSharp.Mat temp = OpenCvSharp.Mat.ImDecode(stream.ToArray(), OpenCvSharp.ImreadModes.Color);
// so we got an image
// check it
MAssert.Check(!temp.Empty());
MAssert.Check(temp.Type() == OpenCvSharp.MatType.CV_8UC3);
// and resize to the thumbnail_size
OpenCvSharp.Rect resRect;
if (temp.Rows >= temp.Cols)
{
resRect.Height = thumbnail_size;
resRect.Width = temp.Cols * thumbnail_size / temp.Rows;
}
else
{
resRect.Width = thumbnail_size;
resRect.Height = temp.Rows * thumbnail_size / temp.Cols;
}
resRect.X = (thumbnail_size - resRect.Width) / 2;
resRect.Y = (thumbnail_size - resRect.Height) / 2;
OpenCvSharp.Mat result = new OpenCvSharp.Mat(
thumbnail_size,
thumbnail_size,
OpenCvSharp.MatType.CV_8UC3,
OpenCvSharp.Scalar.All(0));
OpenCvSharp.Cv2.Resize(
temp,
result[resRect],
resRect.Size);
if (!string.IsNullOrEmpty(name))
{
result[new OpenCvSharp.Rect(0, result.Rows - 27, result.Cols, 27)] = result.RowRange(result.Rows - 27, result.Rows) * 0.5f;
OpenCvSharp.Cv2.PutText(
result,
name,
new OpenCvSharp.Point(0, result.Rows - 7),
OpenCvSharp.HersheyFonts.HersheyDuplex,
0.7,
OpenCvSharp.Scalar.All(255),
1,
OpenCvSharp.LineTypes.AntiAlias);
}
return(result);
}
public void work(OpenCvSharp.Mat frame)
{
// sending the frame in the capturer (_tracker)
// pbio::CVRawImage cvri_frame;
byte[] data = new byte[frame.Total() * frame.Type().Channels];
Marshal.Copy(frame.DataStart, data, 0, (int)data.Length);
RawImage ri_frame = new RawImage(frame.Width, frame.Height, RawImage.Format.FORMAT_BGR, data);
List <RawSample> samples = _tracker.capture(ri_frame);
// clone the frame for drawing on it
OpenCvSharp.Mat draw_image = frame.Clone();
// handle each face on the frame separately
for (int i = 0; i < samples.Count; ++i)
{
RawSample sample = samples[i];
// get a face rectangle
RawSample.Rectangle rectangle = sample.getRectangle();
// set a point to place information for this face
OpenCvSharp.Point2f text_point = new OpenCvSharp.Point2f(
rectangle.x + rectangle.width + 3,
rectangle.y + 10);
const float text_line_height = 22;
// draw facial points
// red color for all points
// green for left eye
// yellow for right eye
// (yes, there is a mess with left and right eyes in face_sdk api,
// but if we fix it now we will lose compatibility with previous versions)
if (_flag_points)
{
List <Point> points = sample.getLandmarks();
for (int j = -2; j < points.Count; ++j)
{
Point p =
j == -2 ?
sample.getLeftEye() :
j == -1 ?
sample.getRightEye() :
points[j];
OpenCvSharp.Scalar color =
j == -2 ?
new OpenCvSharp.Scalar(50, 255, 50) :
j == -1 ?
new OpenCvSharp.Scalar(50, 255, 255) :
new OpenCvSharp.Scalar(50, 50, 255);
OpenCvSharp.Cv2.Circle(
draw_image,
new OpenCvSharp.Point2f(p.x, p.y),
j < 0 ? 4 : 2,
color,
-1,
OpenCvSharp.LineTypes.AntiAlias);
}
}
// draw rectangle
if (_flag_positions)
{
OpenCvSharp.Cv2.Rectangle(
draw_image,
new OpenCvSharp.Rect(
rectangle.x,
rectangle.y,
rectangle.width,
rectangle.height),
new OpenCvSharp.Scalar(50, 50, 255),
2,
OpenCvSharp.LineTypes.AntiAlias);
}
// draw age and gender
if (_flag_age_gender)
{
AgeGenderEstimator.AgeGender age_gender = _age_geder_estimator.estimateAgeGender(sample);
string age_text = "age: ";
switch (age_gender.age)
{
case AgeGenderEstimator.Age.AGE_KID: age_text += "kid "; break;
case AgeGenderEstimator.Age.AGE_YOUNG: age_text += "young "; break;
case AgeGenderEstimator.Age.AGE_ADULT: age_text += "adult "; break;
case AgeGenderEstimator.Age.AGE_SENIOR: age_text += "senior "; break;
}
age_text += string.Format("years: {0:G3}", age_gender.age_years);
puttext(
draw_image,
age_text,
text_point);
text_point.Y += text_line_height;
puttext(
draw_image,
age_gender.gender == AgeGenderEstimator.Gender.GENDER_FEMALE ? "gender: female" :
age_gender.gender == AgeGenderEstimator.Gender.GENDER_MALE ? "gender: male" : "?",
text_point);
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
// draw emotions
if (_flag_emotions)
{
List <EmotionsEstimator.EmotionConfidence> emotions =
_emotions_estimator.estimateEmotions(sample);
for (int j = 0; j < emotions.Count; ++j)
{
EmotionsEstimator.Emotion emotion = emotions[j].emotion;
float confidence = emotions[j].confidence;
OpenCvSharp.Cv2.Rectangle(
draw_image,
new OpenCvSharp.Rect(
(int)text_point.X,
(int)text_point.Y - (int)text_line_height / 2,
(int)(100 * confidence),
(int)text_line_height),
emotion == EmotionsEstimator.Emotion.EMOTION_NEUTRAL ? new OpenCvSharp.Scalar(255, 0, 0) :
emotion == EmotionsEstimator.Emotion.EMOTION_HAPPY ? new OpenCvSharp.Scalar(0, 255, 0) :
emotion == EmotionsEstimator.Emotion.EMOTION_ANGRY ? new OpenCvSharp.Scalar(0, 0, 255) :
emotion == EmotionsEstimator.Emotion.EMOTION_SURPRISE ? new OpenCvSharp.Scalar(0, 255, 255) :
new OpenCvSharp.Scalar(0, 0, 0),
-1);
puttext(
draw_image,
emotion == EmotionsEstimator.Emotion.EMOTION_NEUTRAL ? "neutral" :
emotion == EmotionsEstimator.Emotion.EMOTION_HAPPY ? "happy" :
emotion == EmotionsEstimator.Emotion.EMOTION_ANGRY ? "angry" :
emotion == EmotionsEstimator.Emotion.EMOTION_SURPRISE ? "surprise" : "?",
text_point + new OpenCvSharp.Point2f(100, 0));
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
}
// draw angles text
if (_flag_angles)
{
string yaw, pitch, roll;
yaw = string.Format("yaw: {0}", (0.1f * (int)10 * sample.getAngles().yaw + 0.5f));
pitch = string.Format("pitch: {0}", (0.1f * (int)10 * sample.getAngles().pitch + 0.5f));
roll = string.Format("roll: {0}", (0.1f * (int)10 * sample.getAngles().roll + 0.5f));
puttext(draw_image, yaw, text_point);
text_point.Y += text_line_height;
puttext(draw_image, pitch, text_point);
text_point.Y += text_line_height;
puttext(draw_image, roll, text_point);
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
// draw angles vectors
if (_flag_angles_vectors)
{
RawSample.Angles angles = sample.getAngles();
float cos_a = (float)Math.Cos(angles.yaw * OpenCvSharp.Cv2.PI / 180);
float sin_a = (float)Math.Sin(angles.yaw * OpenCvSharp.Cv2.PI / 180);
float cos_b = (float)Math.Cos(angles.pitch * OpenCvSharp.Cv2.PI / 180);
float sin_b = (float)Math.Sin(angles.pitch * OpenCvSharp.Cv2.PI / 180);
float cos_c = (float)Math.Cos(angles.roll * OpenCvSharp.Cv2.PI / 180);
float sin_c = (float)Math.Sin(angles.roll * OpenCvSharp.Cv2.PI / 180);
OpenCvSharp.Point3f[] xyz =
{
new OpenCvSharp.Point3f(cos_a * cos_c, -sin_c, -sin_a),
new OpenCvSharp.Point3f(sin_c, cos_b * cos_c, -sin_b),
new OpenCvSharp.Point3f(sin_a, sin_b, cos_a * cos_b)
};
OpenCvSharp.Point2f center = new OpenCvSharp.Point2f(
(sample.getLeftEye().x + sample.getRightEye().x) * 0.5f,
(sample.getLeftEye().y + sample.getRightEye().y) * 0.5f);
float length = (rectangle.width + rectangle.height) * 0.3f;
for (int c = 0; c < 3; ++c)
{
OpenCvSharp.Cv2.Line(
draw_image,
center,
center + new OpenCvSharp.Point2f(xyz[c].X, -xyz[c].Y) * length,
c == 0 ? new OpenCvSharp.Scalar(50, 255, 255) :
c == 1 ? new OpenCvSharp.Scalar(50, 255, 50) :
c == 2 ? new OpenCvSharp.Scalar(50, 50, 255) : new OpenCvSharp.Scalar(),
2,
OpenCvSharp.LineTypes.AntiAlias);
}
}
// draw quality text
if (_flag_quality)
{
QualityEstimator.Quality q =
_quality_estimator.estimateQuality(sample);
string lighting, noise, sharpness, flare;
lighting = "lighting: " + q.lighting.ToString();
puttext(draw_image, lighting, text_point);
text_point.Y += text_line_height;
noise = "noise: " + q.noise.ToString();
puttext(draw_image, noise, text_point);
text_point.Y += text_line_height;
sharpness = "sharpness: " + q.sharpness.ToString();
puttext(draw_image, sharpness, text_point);
text_point.Y += text_line_height;
flare = "flare: " + q.flare.ToString();
puttext(draw_image, flare, text_point);
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
// draw liveness text
if (_flag_liveness)
{
Liveness2DEstimator.Liveness liveness_2d_result = _liveness_2d_estimator.estimateLiveness(sample);
puttext(
draw_image,
"liveness: " + (
liveness_2d_result == Liveness2DEstimator.Liveness.REAL ? "real" :
liveness_2d_result == Liveness2DEstimator.Liveness.FAKE ? "fake" :
liveness_2d_result == Liveness2DEstimator.Liveness.NOT_ENOUGH_DATA ? "not enough data" : "??"),
text_point);
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
// draw face quality
if (_flag_face_quality)
{
float quality = _face_quality_estimator.estimateQuality(sample);
string ss = "face quality: " + quality.ToString();
puttext(draw_image, ss, text_point);
text_point.Y += text_line_height;
text_point.Y += text_line_height / 3;
}
// draw face cuts
for (int cut_i = 0; cut_i < 3; ++cut_i)
{
if ((cut_i == 0 && !_flag_cutting_base) ||
(cut_i == 1 && !_flag_cutting_full) ||
(cut_i == 2 && !_flag_cutting_token))
{
continue;
}
puttext(
draw_image,
cut_i == 0 ? "base cut:" :
cut_i == 1 ? "full cut:" :
cut_i == 2 ? "token cut:" : "?? cut",
text_point);
text_point.Y += text_line_height / 2;
MemoryStream obuf = new MemoryStream();
sample.cutFaceImage(
obuf,
RawSample.ImageFormat.IMAGE_FORMAT_BMP,
cut_i == 0 ? RawSample.FaceCutType.FACE_CUT_BASE :
cut_i == 1 ? RawSample.FaceCutType.FACE_CUT_FULL_FRONTAL :
cut_i == 2 ? RawSample.FaceCutType.FACE_CUT_TOKEN_FRONTAL :
(RawSample.FaceCutType) 999);
byte[] sbuf = obuf.ToArray();
// const OpenCvSharp.Mat_<uchar> cvbuf(1, sbuf.length(), (uchar*) sbuf.c_str());
OpenCvSharp.Mat img = OpenCvSharp.Cv2.ImDecode(sbuf, OpenCvSharp.ImreadModes.Unchanged);
OpenCvSharp.Cv2.Resize(img, img, OpenCvSharp.Size.Zero, 0.3, 0.3);
int img_rect_x = (int)Math.Max(0, -text_point.X);
int img_rect_y = (int)Math.Max(0, -text_point.Y);
int img_rect_width = (int)Math.Min(
img.Cols - img_rect_x,
draw_image.Cols - Math.Max(0, text_point.X));
int img_rect_height = (int)Math.Min(
img.Rows - img_rect_y,
draw_image.Rows - Math.Max(0, text_point.Y));
if (img_rect_width <= 0 || img_rect_height <= 0)
{
continue;
}
OpenCvSharp.Rect img_rect = new OpenCvSharp.Rect(img_rect_x, img_rect_y, img_rect_width, img_rect_height);
img[img_rect].CopyTo(
draw_image[new OpenCvSharp.Rect(
(int)Math.Max(0, text_point.X),
(int)Math.Max(0, text_point.Y),
img_rect.Width,
img_rect.Height)]);
text_point.Y += text_line_height / 2;
text_point.Y += img.Rows;
text_point.Y += text_line_height / 3;
}
}
// draw checkboxes
for (int i = 0; i < flags_count; ++i)
{
OpenCvSharp.Rect rect = flag_rect(i);
OpenCvSharp.Rect rect2 = new OpenCvSharp.Rect(rect.X + 5, rect.Y + 5, rect.Width - 10, rect.Height - 10);
OpenCvSharp.Cv2.Rectangle(draw_image, rect, OpenCvSharp.Scalar.All(255), -1);
OpenCvSharp.Cv2.Rectangle(draw_image, rect, OpenCvSharp.Scalar.All(0), 2, OpenCvSharp.LineTypes.AntiAlias);
if (get_flag(i))
{
OpenCvSharp.Cv2.Rectangle(draw_image, rect2, OpenCvSharp.Scalar.All(0), -1, OpenCvSharp.LineTypes.AntiAlias);
}
puttext(
draw_image,
flag_name(i),
new OpenCvSharp.Point2f(rect.X + rect.Width + 3, rect.Y + rect.Height - 3));
}
// show image with drawed information
OpenCvSharp.Cv2.ImShow("demo", draw_image);
// register callback on mouse events
OpenCvSharp.Cv2.SetMouseCallback("demo", (OpenCvSharp.CvMouseCallback)onMouse);
}
/// <summary>
/// Combines original and processed images into a new twice wide image
/// </summary>
/// <param name="original">Source image</param>
/// <param name="processed">Processed image</param>
/// <param name="detectedContour">Contour to draw over original image to show detected shape</param>
/// <returns>OpenCV::Mat image with images combined</returns>
private Mat CombineMats(Mat original, Mat processed, Point[] detectedContour)
{
Size inputSize = new Size(original.Width, original.Height);
// combine fancy output image:
// - create new texture twice as wide as input
// - copy input into the left half
// - draw detected paper contour over original input
// - put "scanned", un-warped and cleared paper to the right, centered in the right half
var matCombined = new Mat(new Size(inputSize.Width * 2, inputSize.Height), original.Type(), Scalar.FromRgb(64, 64, 64));
// copy original image with detected shape drawn over
original.CopyTo(matCombined.SubMat(0, inputSize.Height, 0, inputSize.Width));
if (null != detectedContour && detectedContour.Length > 2)
{
matCombined.DrawContours(new Point[][] { detectedContour }, 0, Scalar.FromRgb(255, 255, 0), 3);
}
// copy scanned paper without extra scaling, as is
if (null != processed)
{
double hw = processed.Width * 0.5, hh = processed.Height * 0.5;
Point2d center = new Point2d(inputSize.Width + inputSize.Width * 0.5, inputSize.Height * 0.5);
Mat roi = matCombined.SubMat(
(int)(center.Y - hh), (int)(center.Y + hh),
(int)(center.X - hw), (int)(center.X + hw)
);
processed.CopyTo(roi);
}
return(matCombined);
}
public Texture getScanFrame(WebCamTexture inputTexture)
{
Mat original = Unity.TextureToMat(inputTexture);
Size inputSize = new Size(original.Width, original.Height);
scanner.Input = Unity.TextureToMat(inputTexture);
if (!scanner.Success)
{
scanner.Settings.GrayMode = PaperScanner.ScannerSettings.ColorMode.HueGrayscale;
}
Point[] detectedContour = scanner.PaperShape;
var matCombinedFrame = new Mat(new Size(inputSize.Width, inputSize.Height), original.Type(), Scalar.FromRgb(64, 64, 64));
original.CopyTo(matCombinedFrame.SubMat(0, inputSize.Height, 0, inputSize.Width));
if (null != detectedContour && detectedContour.Length > 2)
{
matCombinedFrame.DrawContours(new Point[][] { detectedContour }, 0, Scalar.FromRgb(255, 255, 0), 3);
}
return(Unity.MatToTexture(matCombinedFrame));
}