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我在 ARKit 应用程序中使用预训练的 CoreML 模型。我正在从 ARCamera 捕获图像并将它们放入 CVPixelBuffer 进行处理：

let pixelBuffer: CVPixelBuffer? = (sceneView.session.currentFrame?.capturedImage)

ARKit 可以捕获 YCbCr 格式的像素缓冲区。要在 iPhone 的显示器上正确渲染这些图像，您需要访问像素缓冲区的luma和平面，并使用 float4x4矩阵chroma将全范围 YCbCr 值转换为 sRGB 。ycbcrToRGBTransform所以我了解如何处理颜色。

但我想知道是否可以更改 CVPixelBuffer 中捕获的 AR 图像的分辨率？

怎么做？我需要一个尽可能低的处理。

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1 回答 1

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是的，你可以做到。这是怎么回事！

/**
 Resizes a CVPixelBuffer to a new width and height.
 */
func resizePixelBuffer(_ pixelBuffer: CVPixelBuffer,
                       width: Int, height: Int) -> CVPixelBuffer? {
    return resizePixelBuffer(pixelBuffer, cropX: 0, cropY: 0,
                             cropWidth: CVPixelBufferGetWidth(pixelBuffer),
                             cropHeight: CVPixelBufferGetHeight(pixelBuffer),
                             scaleWidth: width, scaleHeight: height)
}

func resizePixelBuffer(_ srcPixelBuffer: CVPixelBuffer,
                       cropX: Int,
                       cropY: Int,
                       cropWidth: Int,
                       cropHeight: Int,
                       scaleWidth: Int,
                       scaleHeight: Int) -> CVPixelBuffer? {

    CVPixelBufferLockBaseAddress(srcPixelBuffer, CVPixelBufferLockFlags(rawValue: 0))
    guard let srcData = CVPixelBufferGetBaseAddress(srcPixelBuffer) else {
        print("Error: could not get pixel buffer base address")
        return nil
    }
    let srcBytesPerRow = CVPixelBufferGetBytesPerRow(srcPixelBuffer)
    let offset = cropY*srcBytesPerRow + cropX*4
    var srcBuffer = vImage_Buffer(data: srcData.advanced(by: offset),
                                  height: vImagePixelCount(cropHeight),
                                  width: vImagePixelCount(cropWidth),
                                  rowBytes: srcBytesPerRow)

    let destBytesPerRow = scaleWidth*4
    guard let destData = malloc(scaleHeight*destBytesPerRow) else {
        print("Error: out of memory")
        return nil
    }
    var destBuffer = vImage_Buffer(data: destData,
                                   height: vImagePixelCount(scaleHeight),
                                   width: vImagePixelCount(scaleWidth),
                                   rowBytes: destBytesPerRow)

    let error = vImageScale_ARGB8888(&srcBuffer, &destBuffer, nil, vImage_Flags(0))
    CVPixelBufferUnlockBaseAddress(srcPixelBuffer, CVPixelBufferLockFlags(rawValue: 0))
    if error != kvImageNoError {
        print("Error:", error)
        free(destData)
        return nil
    }

    let releaseCallback: CVPixelBufferReleaseBytesCallback = { _, ptr in
        if let ptr = ptr {
            free(UnsafeMutableRawPointer(mutating: ptr))
        }
    }

    let pixelFormat = CVPixelBufferGetPixelFormatType(srcPixelBuffer)
    var dstPixelBuffer: CVPixelBuffer?
    let status = CVPixelBufferCreateWithBytes(nil, scaleWidth, scaleHeight,
                                              pixelFormat, destData,
                                              destBytesPerRow, releaseCallback,
                                              nil, nil, &dstPixelBuffer)
    if status != kCVReturnSuccess {
        print("Error: could not create new pixel buffer")
        free(destData)
        return nil
    }
    return dstPixelBuffer
}

用法：

if let pixelBuffer = sceneView.session.currentFrame?.capturedImage, let resizedBuffer = resizePixelBuffer(pixelBuffer, width: 320, height: 480) {
    //Core Model Processing
}

参考：https ://github.com/hollance/CoreMLHelpers/tree/master/CoreMLHelpers

于 2018-11-05T10:57:51.013 回答