一、最后得到的图像反向转换测试
int height = CVPixelBufferGetHeight(pixelBuffer); CGAffineTransform transform = CGAffineTransformMakeScale(1, -1); transform = CGAffineTransformTranslate(transform, 0, -1 * height); /* Do your face detection */ CGRect faceRect = CGRectApplyAffineTransform(feature.bounds, transform); CGPoint mouthPoint = CGPointApplyAffineTransform(feature.mouthPosition, transform);
二、若是图像一开始就不是正向的spa
/** * 问题来自 UIImage 的取向和 CIDetectorImageOrientation 之间的区别。从 iOS 的文档: CIDetectorImageOrientation 要检测密钥被用来指定图像的显示方向的功能。此密钥是一个 NSNumber 对象具备相同的值定义的 TIFF 和 EXIF 规格 ;值的范围能够从 1 到 8。值指定原点 (0,0) 的图像所在的位置。若是不存在,默认值是 1,这意味着图像的原点是左上角。每一个值所指定的图像来源的详细信息,请参阅 kCGImagePropertyOrientation。 可用在 iOS 5.0 和更高版本。 在 CIDetector.h 中声明。 因此如今的问题是这些两个方向之间的转换,在这里是个人代码中的所做所为、 我测试和它为全部方向工做: * */ int exifOrientation; switch (image.imageOrientation) { case UIImageOrientationUp: exifOrientation = 1; break; case UIImageOrientationDown: exifOrientation = 3; break; case UIImageOrientationLeft: exifOrientation = 8; break; case UIImageOrientationRight: exifOrientation = 6; break; case UIImageOrientationUpMirrored: exifOrientation = 2; break; case UIImageOrientationDownMirrored: exifOrientation = 4; break; case UIImageOrientationLeftMirrored: exifOrientation = 5; break; case UIImageOrientationRightMirrored: exifOrientation = 7; break; default: break; } NSDictionary *detectorOptions = @{ CIDetectorAccuracy : CIDetectorAccuracyHigh }; // TODO: read doc for more tuneups CIDetector *faceDetector = [CIDetector detectorOfType:CIDetectorTypeFace context:nil options:detectorOptions]; NSArray *features = [faceDetector featuresInImage:[CIImage imageWithCGImage:image.CGImage] options:@{CIDetectorImageOrientation:[NSNumber numberWithInt:exifOrientation]}];