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我正在使用 AVFoundation 来捕获视频帧，使用 opencv 处理并将结果显示在新 iPad 上的 UIImageView 中。opencv 进程执行以下操作（“inImg”是视频帧）：

cv::Mat testROI = inImg.rowRange(0,100);
testROI = testROI.colRange(0,10);
testROI.setTo(255); // this is a BGRA frame.

但是，我没有在框架的左上角得到一个垂直的白条（100 行 x 10 列），而是从右上角到左下角有 100 条阶梯状水平线，每条长 10 像素。

经过一番调查，我意识到显示帧的宽度似乎比 cv::Mat 宽 8 个像素。（即第 2 行的第 9 个像素位于第 1 行的第 1 个像素的正下方。）。

视频帧本身显示正确（行之间没有位移）。当 AVCaptureSession.sessionPreset 为 AVCaptureSessionPresetMedium (frame rows=480, cols=360) 但为 AVCaptureSessionPresetHigh (frame rows=640, cols=480) 时不会出现问题。

全屏显示 360 列。（我尝试逐个像素遍历和修改 cv::Mat。像素 1-360 显示正确。361-368 消失，369 显示在像素 1 的正下方）。

我尝试了 imageview.contentMode (UIViewContentModeScaleAspectFill 和 UIViewContentModeScaleAspectFit) 和 imageview.clipsToBound (YES/NO) 的组合，但没有运气。

可能是什么问题呢？非常感谢。

我使用以下代码创建 AVCaptureSession：

NSArray* devices = [AVCaptureDevice devicesWithMediaType:AVMediaTypeVideo];

if ([devices count] == 0) {
    NSLog(@"No video capture devices found");
    return NO;
}


for (AVCaptureDevice *device in devices) {
     if ([device position] == AVCaptureDevicePositionFront) {
           _captureDevice = device;
     }
}


NSError* error_exp = nil;
if ([_captureDevice lockForConfiguration:&error_exp]) {
    [_captureDevice setWhiteBalanceMode:AVCaptureWhiteBalanceModeContinuousAutoWhiteBalance];
    [_captureDevice unlockForConfiguration];
}
// Create the capture session
_captureSession = [[AVCaptureSession alloc] init];
_captureSession.sessionPreset = AVCaptureSessionPresetMedium;


// Create device input
NSError *error = nil;
AVCaptureDeviceInput *input = [[AVCaptureDeviceInput alloc] initWithDevice:_captureDevice error:&error];

// Create and configure device output
_videoOutput = [[AVCaptureVideoDataOutput alloc] init];

dispatch_queue_t queue = dispatch_queue_create("cameraQueue", NULL); 
[_videoOutput setSampleBufferDelegate:self queue:queue];
dispatch_release(queue); 

_videoOutput.alwaysDiscardsLateVideoFrames = YES; 

OSType format = kCVPixelFormatType_32BGRA;

_videoOutput.videoSettings = [NSDictionary dictionaryWithObject:[NSNumber numberWithUnsignedInt:format]forKey:(id)kCVPixelBufferPixelFormatTypeKey];


// Connect up inputs and outputs
if ([_captureSession canAddInput:input]) {
    [_captureSession addInput:input];
}

if ([_captureSession canAddOutput:_videoOutput]) {
    [_captureSession addOutput:_videoOutput];
}

AVCaptureConnection * captureConnection = [_videoOutput connectionWithMediaType:AVMediaTypeVideo];

if (captureConnection.isVideoMinFrameDurationSupported)
    captureConnection.videoMinFrameDuration = CMTimeMake(1, 60);
if (captureConnection.isVideoMaxFrameDurationSupported)
    captureConnection.videoMaxFrameDuration = CMTimeMake(1, 60);

if (captureConnection.supportsVideoMirroring)
    [captureConnection setVideoMirrored:NO];

[captureConnection setVideoOrientation:AVCaptureVideoOrientationPortraitUpsideDown];

当接收到帧时，会调用以下函数：

- (void)captureOutput:(AVCaptureOutput *)captureOutput didOutputSampleBuffer:(CMSampleBufferRef)sampleBuffer fromConnection:(AVCaptureConnection *)connection
{
@autoreleasepool {

    CVPixelBufferRef pixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer);
    OSType format = CVPixelBufferGetPixelFormatType(pixelBuffer);
    CGRect videoRect = CGRectMake(0.0f, 0.0f, CVPixelBufferGetWidth(pixelBuffer), CVPixelBufferGetHeight(pixelBuffer));

    AVCaptureConnection *currentConnection = [[_videoOutput connections] objectAtIndex:0];

    AVCaptureVideoOrientation videoOrientation = [currentConnection videoOrientation];
    CGImageRef quartzImage;

    // For color mode a 4-channel cv::Mat is created from the BGRA data
    CVPixelBufferLockBaseAddress(pixelBuffer, 0);
    void *baseaddress = CVPixelBufferGetBaseAddress(pixelBuffer);

    cv::Mat mat(videoRect.size.height, videoRect.size.width, CV_8UC4, baseaddress, 0);

    if ([self doFrame]) { // a flag to switch processing ON/OFF
            [self processFrame:mat videoRect:videoRect videoOrientation:videoOrientation];  // "processFrame" is the opencv function shown above
    }

    CIImage *ciImage = [CIImage imageWithCVPixelBuffer:pixelBuffer];
    quartzImage = [self.context createCGImage:ciImage fromRect:ciImage.extent];
    CVPixelBufferUnlockBaseAddress(pixelBuffer, 0);

    UIImage *image = [UIImage imageWithCGImage:quartzImage scale:1.0 orientation:UIImageOrientationUp];

    CGImageRelease(quartzImage);

    [self.imageView performSelectorOnMainThread:@selector(setImage:) withObject:image waitUntilDone:YES];
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1 回答 1

1

我假设您正在使用构造函数Mat(int _rows, int _cols, int _type, void* _data, size_t _step=AUTO_STEP)并且 AUTO_STEP 为 0 并假设行步幅为width*bytesPerPixel.

这通常是错误的——将行与某个更大的边界对齐是很常见的。在这种情况下，360 不是 16 的倍数，但 368 是；这强烈表明它与 16 像素边界对齐（也许有助于在 16×16 块中处理的算法？）。

尝试

cv::Mat mat(videoRect.size.height, videoRect.size.width, CV_8UC4, baseaddress, CVPixelBufferGetBytesPerRow(pixelBuffer));
于 2013-03-07T02:33:57.940 回答