视觉框架为捕获的视频输出帧中的矩形提供了错误的坐标
Vision framework gives incorrect coordinates for rectangles in frames from captured video output
我需要从捕获的视频中识别帧中的矩形。我使用以下方法在观察图像的顶部显示一个矩形。
func displayRect(for observation: VNRectangleObservation) {
DispatchQueue.main.async { [weak self] in
guard let size = self?.imageView.frame.size else { return }
guard let origin = self?.imageView.frame.origin else { return }
let transform = CGAffineTransform(scaleX: size.width, y: size.height)
let rect = observation.boundingBox.applying(transform)
.applying(CGAffineTransform(scaleX: 1.0, y: -1.0))
.applying(CGAffineTransform(translationX: 0.0, y: size.height))
.applying(CGAffineTransform(translationX: -origin.x, y: -origin.y))
let path = UIBezierPath(rect: rect)
let layer = CAShapeLayer()
layer.path = path.cgPath
layer.fillRule = kCAFillRuleEvenOdd
layer.fillColor = UIColor.red.withAlphaComponent(0.2).cgColor
self?.overlay.sublayers = nil
self?.overlay.addSublayer(layer)
}
}
这对于从相机拍摄的图像来说效果很好,但对于来自拍摄视频的帧,矩形是关闭的。事实上,如果偏离 90 度,它看起来就像它(以及图像的整个坐标系)。请看下面的截图。
我是否遗漏了有关视频帧的某些内容,可能会导致观察结果的 boundingBox
属性 处于完全不同的坐标系中?
下面是我对 captureOutput
委托方法的实现。
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
guard let buffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
// Also tried converting to CGImage, creating handler from that, but made no difference
let handler = VNImageRequestHandler(cvPixelBuffer: buffer, options: [:])
let request = VNDetectRectanglesRequest()
request.minimumAspectRatio = VNAspectRatio(0.2)
request.maximumAspectRatio = VNAspectRatio(1.0)
request.minimumSize = Float(0.3)
try? handler.perform([request])
// Note: Only ever captures one rectangle, so calling `first` not the issue.
guard let observations = request.results as? [VNRectangleObservation],
let observation = observations.first else {
return removeShapeLayer()
}
displayRect(for: observation, buffer: buffer)
}
这个问题是因为您没有将缓冲区的方向传递给 VNImageRequestHandler
,所以它将视频作为横向进行交易。然后当它 return 那个矩形时,你把它放在纵向显示的视频上方。
您需要将方向传递给 VNImageRequestHandler
,或者修改(旋转)矩形 returned 以将其考虑在内。
我需要从捕获的视频中识别帧中的矩形。我使用以下方法在观察图像的顶部显示一个矩形。
func displayRect(for observation: VNRectangleObservation) {
DispatchQueue.main.async { [weak self] in
guard let size = self?.imageView.frame.size else { return }
guard let origin = self?.imageView.frame.origin else { return }
let transform = CGAffineTransform(scaleX: size.width, y: size.height)
let rect = observation.boundingBox.applying(transform)
.applying(CGAffineTransform(scaleX: 1.0, y: -1.0))
.applying(CGAffineTransform(translationX: 0.0, y: size.height))
.applying(CGAffineTransform(translationX: -origin.x, y: -origin.y))
let path = UIBezierPath(rect: rect)
let layer = CAShapeLayer()
layer.path = path.cgPath
layer.fillRule = kCAFillRuleEvenOdd
layer.fillColor = UIColor.red.withAlphaComponent(0.2).cgColor
self?.overlay.sublayers = nil
self?.overlay.addSublayer(layer)
}
}
这对于从相机拍摄的图像来说效果很好,但对于来自拍摄视频的帧,矩形是关闭的。事实上,如果偏离 90 度,它看起来就像它(以及图像的整个坐标系)。请看下面的截图。
我是否遗漏了有关视频帧的某些内容,可能会导致观察结果的 boundingBox
属性 处于完全不同的坐标系中?
下面是我对 captureOutput
委托方法的实现。
func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
guard let buffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
// Also tried converting to CGImage, creating handler from that, but made no difference
let handler = VNImageRequestHandler(cvPixelBuffer: buffer, options: [:])
let request = VNDetectRectanglesRequest()
request.minimumAspectRatio = VNAspectRatio(0.2)
request.maximumAspectRatio = VNAspectRatio(1.0)
request.minimumSize = Float(0.3)
try? handler.perform([request])
// Note: Only ever captures one rectangle, so calling `first` not the issue.
guard let observations = request.results as? [VNRectangleObservation],
let observation = observations.first else {
return removeShapeLayer()
}
displayRect(for: observation, buffer: buffer)
}
这个问题是因为您没有将缓冲区的方向传递给 VNImageRequestHandler
,所以它将视频作为横向进行交易。然后当它 return 那个矩形时,你把它放在纵向显示的视频上方。
您需要将方向传递给 VNImageRequestHandler
,或者修改(旋转)矩形 returned 以将其考虑在内。