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  • Optimize the Core Image pipeline for your video app

    Explore how you can harness the processing power of Core Image and optimize video performance within your app. We'll show you how to build your Core Image pipeline for applying effects to your video in your apps: Discover how to reduce your app's memory footprint when using CIContext, and learn best practices for using AVPlayView or MTKView view classes for video playback with Core Image filters. Additionally, find out why you should write your own custom kernels in the Metal Shading Language, and learn performance tips for optimal usage of Metal command queues in your Core Image pipeline.

    Recursos

    • Core Image
      • Video HD
      • Video SD

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  • Buscar este video…
    • 0:52 - Creating CIContext

      let context =  CIContext(options: [
          .cacheIntermediates : false,
          .name : ”MyAppView”
      ])
    • 1:26 - Creating CIContext 2

      let context =  CIContext(MTLCommandQueue : queue, options: […])
    • 2:59 - Use builtins Whenever possible

      import CoreImage.CIFilterBuiltins
      
      func motionBlur(inputImage: CIImage) -> CIImage? {
          let motionBlurFilter = CIFilter.motionBlur()
          motionBlurFilter.inputImage = inputImage
          motionBlurFilter.angle = 0
          motionBlurFilter.radius = 20
          return motionBlurFilter.outputImage
      }
    • 3:56 - Put your kernels in .ci.metal sources

      // MyKernels.ci.metal
      #include <CoreImage/CoreImage.h> // includes CIKernelMetalLib.h
      using namespace metal;
      
      extern "C" float4 HDRZebra (coreimage::sample_t s, float time, coreimage::destination dest) 
      {
      	float diagLine = dest.coord().x + dest.coord().y;
      	float zebra = fract(diagLine/20.0 + time*2.0);
      	if ((zebra > 0.5) && (s.r > 1 || s.g > 1 || s.b > 1))
      		return float4(2.0, 0.0, 0.0, 1.0);
      	return s;
      }
    • 5:50 - Using AVPlayer View

      let videoComposition = AVMutableVideoComposition(
          asset: asset, 
    applyingCIFiltersWithHandler:
          { (request: AVAsynchronousCIImageFilteringRequest) -> Void in
              let filter = HDRZebraFilter()
        filter.inputImage = request.sourceImage
              let output = filter.outputImage
      
              if (output != nil) {
                  request.finish(with: output, context: myCtx)
              }
              else { request.finish(with: err) }
          }
      )
    • 7:01 - Using MTKView

      class MyView : MTKView {
          var context: CIContext
          var commandQueue : MTLCommandQueue
          
          override init(frame frameRect: CGRect, device: MTLDevice?) {
              let dev = device ?? MTLCreateSystemDefaultDevice()!
              context = CIContext(mtlDevice: dev, options: [.cacheIntermediates : false] )
              commandQueue = dev.makeCommandQueue()!
              
              super.init(frame: frameRect, device: dev)
      
              framebufferOnly = false  // allow Core Image to use Metal Compute
              colorPixelFormat = MTLPixelFormat.rgba16Float
              if let caml = layer as? CAMetalLayer {
                  caml.wantsExtendedDynamicRangeContent = true
              }
          }
    • 7:29 - Using MTKView 2

      func draw(in view: MTKView) {
      
              let size = self.convertToBacking(self.bounds.size)
              let rd = CIRenderDestination(width: Int(size.width),
                                           height: Int(size.height),
                                           pixelFormat: colorPixelFormat,
                                           commandBuffer: nil)
                        { () -> MTLTexture in return view.currentDrawable!.texture }
      
              context.startTask(toRender:image, from:rect, to:rd, at:point)
      
              // Present the current drawable
              let cmdBuf = commandQueue.makeCommandBuffer()!
              cmdBuf.present(view.currentDrawable!)
              cmdBuf.commit()
         }

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