public CIImage GaussianGradient()
{
var centerVector = new CIVector(100, 100); // Default is [150 150]
var color1 = CIColor.FromRgba(1, 0, 1, 1);
var color0 = CIColor.FromRgba(0, 1, 1, 1);
var gaussGradient = new CIGaussianGradient()
{
Center = centerVector,
Color0 = color0,
Color1 = color1,
Radius = 280f // Default is 300
};
return(Crop(gaussGradient));
}
/// <summary>
/// Gets called by the VideoFrameSamplerDelegate if a new image has been captured. Does the rectangle detection.
/// </summary>
/// <param name="sender">Sender.</param>
/// <param name="e">Event arguments</param>
void HandleImageCaptured(object sender, ImageCaptureEventArgs e)
{
// Detect the rectangles in the captured image.
// Important: case CGImage to CIImage. There is an implicit cast operator from CGImage to CIImage, but if we
// pass the CGImage in to FeaturesInImage(), many many (implicit) CIImage instance will be created because this
// method is called very often. The garbage collector cannot keep up with that and we runn out of memory.
// By casting manually and using() the CIImage, it will be disposed immediately, freeing up memory.
using (CIImage inputCIImage = (CIImage)e.Image)
{
// Let the detector do its work on the image.
var rectangles = detector.FeaturesInImage(inputCIImage);
// Find the biggest rectangle. Note: in my tests I have never seen that more than one rectangle would be detected, but better be prepared.
nfloat maxWidth = 0f;
nfloat maxHeight = 0f;
CIRectangleFeature biggestRect = rectangles.Length > 0 ? (CIRectangleFeature)rectangles [0] : null;
Console.WriteLine("Found " + rectangles.Length + " rectangles.");
foreach (CIRectangleFeature rect in rectangles)
{
Console.WriteLine("Found rect: " + rect);
nfloat minX = (nfloat)Math.Min(rect.TopLeft.X, rect.BottomLeft.X);
nfloat minY = (nfloat)Math.Min(rect.TopLeft.Y, rect.TopRight.Y);
nfloat maxX = (nfloat)Math.Min(rect.TopRight.X, rect.BottomRight.X);
nfloat maxY = (nfloat)Math.Min(rect.BottomLeft.Y, rect.BottomRight.Y);
if (maxX - minX > maxWidth && maxY - minY > maxHeight)
{
maxWidth = maxX - minX;
maxHeight = maxY - minY;
biggestRect = rect;
}
}
if (biggestRect == null)
{
this.InvokeOnMainThread(() => {
this.imageViewOverlay.Image = null;
this.imageViewPerspective.Image = null;
});
return;
}
Console.WriteLine("Highlighting: top left = " + biggestRect.TopLeft + "; top right = " + biggestRect.TopRight + "; bottom left = " + biggestRect.BottomLeft + "; bottom right = " + biggestRect.BottomRight);
// We are not on the main thread here.
this.InvokeOnMainThread(() => {
// Adjust the overlay image to the corners of the detected rectangle with CIPerspectiveTransformWithExtent.
using (var dict = new NSMutableDictionary())
{
dict.Add(key: new NSString("inputExtent"), value: new CIVector(inputCIImage.Extent));
dict.Add(key: new NSString("inputTopLeft"), value: new CIVector(biggestRect.TopLeft));
dict.Add(key: new NSString("inputTopRight"), value: new CIVector(biggestRect.TopRight));
dict.Add(key: new NSString("inputBottomLeft"), value: new CIVector(biggestRect.BottomLeft));
dict.Add(key: new NSString("inputBottomRight"), value: new CIVector(biggestRect.BottomRight));
// Create a semi-transparent CIImage which will show the detected rectangle.
using (var overlayCIImage = new CIImage(color: CIColor.FromRgba(red: 1.0f, green: 0f, blue: 0f, alpha: 0.5f))
// Size it to the source image.
.ImageByCroppingToRect(inputCIImage.Extent)
// Apply perspective distortion to the overlay rectangle to map it to the current camera picture.
.CreateByFiltering("CIPerspectiveTransformWithExtent", dict)
// Place overlay on the image.
.CreateByCompositingOverImage(inputCIImage))
{
// Must convert the CIImage into a CGImage and from there into a UIImage.
// Could go directly from CIImage to UIImage but when assigning the result to a UIImageView, the ContentMode of
// the image view will be ignored and no proper aspect scaling will take place.
using (var ctx = CIContext.FromOptions(null))
using (CGImage convertedCGImage = ctx.CreateCGImage(overlayCIImage, overlayCIImage.Extent))
// This crashes with Xamarin.iOS
//using(UIImage convertedUIImage = UIImage.FromImage(convertedCGImage, 1f, UIApplication.SharedApplication.StatusBarOrientation == UIInterfaceOrientation.LandscapeLeft ? UIImageOrientation.DownMirrored : UIImageOrientation.UpMirrored))
// This works.
using (UIImage convertedUIImage = UIImage.FromImage(convertedCGImage))
{
// Show converted image in UI.
this.imageViewOverlay.Image = convertedUIImage;
}
}
}
// Apply a perspective correction with CIPerspectiveCorrection to the detected rectangle and display in another UIImageView.
using (var dict = new NSMutableDictionary())
{
dict.Add(key: new NSString("inputTopLeft"), value: new CIVector(biggestRect.TopLeft));
dict.Add(key: new NSString("inputTopRight"), value: new CIVector(biggestRect.TopRight));
dict.Add(key: new NSString("inputBottomLeft"), value: new CIVector(biggestRect.BottomLeft));
dict.Add(key: new NSString("inputBottomRight"), value: new CIVector(biggestRect.BottomRight));
// Use again CIImage -> CGImage -> UIImage to prevent scaling issues (see above).
using (var perspectiveCorrectedImage = inputCIImage.CreateByFiltering("CIPerspectiveCorrection", dict))
using (var ctx = CIContext.FromOptions(null))
using (CGImage convertedCGImage = ctx.CreateCGImage(perspectiveCorrectedImage, perspectiveCorrectedImage.Extent))
using (UIImage convertedUIImage = UIImage.FromImage(convertedCGImage))
{
this.imageViewPerspective.Image = convertedUIImage;
}
}
});
}
Console.WriteLine("---------------------");
}