请不要以为我只是在学习Swift。
最近我安装了MetalPetal框架,并按照说明进行操作:
但是由于MTIContext,我得到了错误。也许我必须声明更多MetalPetal吗?
我的代码:
import UIKit
import MetalPetal
import CoreGraphics
class ViewController: UIViewController {
@IBOutlet weak var image1: UIImageView!
override func viewDidLoad() {
super.viewDidLoad()
weak var image: UIImage?
image = image1.image
var ciImage = CIImage(image: image!)
var cgImage1 = convertCIImageToCGImage(inputImage: ciImage!)
let imageFromCGImage = MTIImage(cgImage: cgImage1!)
let inputImage = imageFromCGImage
let filter = MTISaturationFilter()
filter.saturation = 1
filter.inputImage = inputImage
let outputImage = filter.outputImage
let context = MTIContext()
do {
try context.render(outputImage, to: pixelBuffer)
var image3: CIImage? = try context.makeCIImage(from: outputImage!)
//context.makeCIImage(from: image)
//context.makeCGImage(from: image)
} catch {
print(error)
}
// Do any additional setup after loading the view, typically from a nib.
}
override func didReceiveMemoryWarning() {
super.didReceiveMemoryWarning()
// Dispose of any resources that can be recreated.
}
func convertCIImageToCGImage(inputImage: CIImage) -> CGImage? {
let context = CIContext(options: nil)
if let cgImage = context.createCGImage(inputImage, from: inputImage.extent) {
return cgImage
}
return nil
}
}
@YuAo
答案 0 :(得分:3)
输入图片
UIImage基于基础Quartz图像(可以使用cgImage检索)或基础Core图像(可以从具有ciImage的UIImage检索)。
MTIImage提供两种类型的构造函数。
MTIContext
必须使用可以通过调用MTLCreateSystemDefaultDevice()进行检索的设备来初始化MTIContext。
渲染
不需要渲染到像素缓冲区。我们可以通过调用makeCGImage获得结果。
测试
我已将您的源代码带到上面,并略微调整了以适应上述要点。
我还添加了第二个UIImageView来查看过滤的结果。我也将饱和度更改为0,以查看过滤器是否有效
如果涉及GPU或着色器,则有必要在真实设备上而不是在模拟器上进行测试。
结果如下:
在上方区域中看到原始jpg,在下方区域中应用滤镜。
快速
产生此结果的简化Swift代码如下:
override func viewDidLoad() {
super.viewDidLoad()
guard let image = UIImage(named: "regensburg.jpg") else { return }
guard let cgImage = image.cgImage else { return }
imageView1.image = image
let filter = MTISaturationFilter()
filter.saturation = 0
filter.inputImage = MTIImage(cgImage: cgImage)
if let device = MTLCreateSystemDefaultDevice(),
let outputImage = filter.outputImage {
do {
let context = try MTIContext(device: device)
let filteredImage = try context.makeCGImage(from: outputImage)
imageView2.image = UIImage(cgImage: filteredImage)
} catch {
print(error)
}
}
}