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标题: ios - 将 CVPixelBuffer 转换为 Mat (OpenCV) [打印本页]

作者: 菜鸟教程小白    时间: 2022-12-11 19:41
标题: ios - 将 CVPixelBuffer 转换为 Mat (OpenCV)

UPDATE 似乎与 LegoCV 有问题,它甚至无法从简单的 UIImage 创建 OCVMat

    let image = UIImage(named: "myImage")
    let mat = OCVMat(image: image!)

enter image description here



我正在尝试将 CVPixelBuffer(从相机 - 视频输出)转换为 Mat (OpenCV) - OCVMat

我使用下一个框架在我的 iOS Swift 项目中添加 OpenCV https://github.com/Legoless/LegoCV

it wraps OpenCV native C++ classes into lightweight Objective-C classes, which are then natively bridged to Swift

我为我的相机类实现了 AVCaptureVideoDataOutputSampleBufferDelegate 以获取相机帧缓冲区

设置所需的视频输入并开始 session ,相机工作正常,缓冲区即将到来,但是当我尝试从 CVPixelBuffer 创建 OCVMat (" OCVMat(pixelBuffer: imageBuffer)") 应用程序崩溃并出现下一个错误

opencv(1934,0x16f087000) malloc: *** error for object 0x16f086108: pointer being freed was not allocated
*** set a breakpoint in malloc_error_break to debug

Objective-C 类:https://github.com/Legoless/LegoCV/blob/master/LegoCV/LegoCV/Wrapper/Core/Mat/OCVMatDataAllocator.mm

enter image description here

一些 Swift 代码

fileprivate func configureVideoOutput() {
    let videoOutput = AVCaptureVideoDataOutput()
    videoOutput.setSampleBufferDelegate(self, queue: DispatchQueue(label: "sample buffer"))

    if self.session.canAddOutput(videoOutput) {
        print("canAddOutput yes")
        self.session.addOutput(videoOutput)
        print("canAddOutput yes added")
    } else {
        print("canAddOutput no")
    }
}

private func matFromSampleBuffer(sampleBuffer: CMSampleBuffer) -> OCVMat? {
    guard let imageBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return nil }
    return OCVMat(pixelBuffer: imageBuffer)
}

public func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
    count = count + 1
    print("Got a frame # \(count)")
    guard let mat = matFromSampleBuffer(sampleBuffer: sampleBuffer) else { return }
}



Best Answer-推荐答案


解决方案 - 不要使用包装器,最好在 .mm 文件中编写 OpenCV C++ 代码(与 Objective-C 混合)

关于ios - 将 CVPixelBuffer 转换为 Mat (OpenCV),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48540004/






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