如何在CIImage上应用CIEdgePreserveUpsampleFilter?

时间:2018-03-22 12:31:39

标签: swift ciimage

我正在关注this WWDC讲座。

在讲座中,他提到了一个名为“CIEdgePreserveUpsampleFilter”的过滤器,它使边缘更加保留和上采样。 我试图在我的CIImage上应用它,我得到一个未初始化的图像和崩溃的结果。

这是我正在使用的代码以及我如何尝试应用过滤器的示例(这显然是错误的)。我只是找不到应用此过滤器的任何相关说明,我只知道我希望其结果在我的图像上。 我在我尝试应用过滤器的位置旁边发表评论,以及当我这样做时会发生什么。

func createMask(for depthImage: CIImage, withFocus focus: CGFloat, andScale scale: CGFloat, andSlope slope: CGFloat = 4.0, andWidth width: CGFloat = 0.1) -> CIImage {

    let s1 = slope
    let s2 = -slope
    let filterWidth =  2 / slope + width
    let b1 = -s1 * (focus - filterWidth / 2)
    let b2 = -s2 * (focus + filterWidth / 2)

    let mask0 = depthImage
        .applyingFilter("CIColorMatrix", withInputParameters: [
            "inputRVector": CIVector(x: s1, y: 0, z: 0, w: 0),
            "inputGVector": CIVector(x: 0, y: s1, z: 0, w: 0),
            "inputBVector": CIVector(x: 0, y: 0, z: s1, w: 0),
            "inputBiasVector": CIVector(x: b1, y: b1, z: b1, w: 0)])
        .applyingFilter("CIColorClamp").applyingFilter("CIEdgePreserveUpsampleFilter") //returns uninitialized image

    let mask1 = depthImage
        .applyingFilter("CIColorMatrix", withInputParameters: [
            "inputRVector": CIVector(x: s2, y: 0, z: 0, w: 0),
            "inputGVector": CIVector(x: 0, y: s2, z: 0, w: 0),
            "inputBVector": CIVector(x: 0, y: 0, z: s2, w: 0),
            "inputBiasVector": CIVector(x: b2, y: b2, z: b2, w: 0)])
        .applyingFilter("CIColorClamp")

    var combinedMask = mask0.applyingFilter("CIEdgePreserveUpsampleFilter", withInputParameters: ["inputBackgroundImage" : mask1]) //complete crash
    if PortraitModel.sharedInstance.filterArea == .front {
        combinedMask = combinedMask.applyingFilter("CIColorInvert")
    }
    let mask = combinedMask.applyingFilter("CIBicubicScaleTransform", withInputParameters: [kCIInputScaleKey: scale])

    return mask
}

1 个答案:

答案 0 :(得分:1)

我发现的运行时标头和一些使用代码似乎表明CIEdgePreserveUpsampleFilter不采用inputBackgroundImage参数,而是inputSmallImage

请参阅https://gist.github.com/HarshilShah/ca0e18db01ce250fd308ab5acc99a9d0