Metal每日分享,颜色转换滤镜效果

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Metal每日分享,颜色转换滤镜效果

2023-04-07 00:16| 来源: 网络整理| 查看: 265

本案例的目的是理解如何用Metal实现像素颜色转换滤镜,通过对像素颜色的不同读取方式获取到相应像素颜色,灰度图移除场景中除了黑白灰以外所有的颜色,让整个图像灰度化;

效果图 WX20221121-165812.png 实操代码 // 转成灰度图滤镜 let filter = C7ColorConvert(with: .gray) // 方案1: let dest = BoxxIO.init(element: originImage, filter: filter) ImageView.image = try? dest.output() dest.filters.forEach { NSLog("%@", "\($0.parameterDescription)") } // 方案2: ImageView.image = try? originImage.make(filter: filter) // 方案3: ImageView.image = originImage ->> filter 实现原理 过滤器

这款滤镜采用并行计算编码器设计.compute(kernel: "C7ColorConvert")

/// 颜色通道`RGB`位置转换 public struct C7ColorConvert: C7FilterProtocol { public enum ColorType: String, CaseIterable { case invert = "C7ColorInvert" case gray = "C7Color2Gray" case bgra = "C7Color2BGRA" case brga = "C7Color2BRGA" case gbra = "C7Color2GBRA" case grba = "C7Color2GRBA" case rbga = "C7Color2RBGA" } private let type: ColorType public var modifier: Modifier { return .compute(kernel: type.rawValue) } public init(with type: ColorType) { self.type = type } } 着色器

取出像素rgb值,然后根据对应像素颜色;灰度图则是取所有的颜色分量,将它们加权或平均;

// 颜色反转,1 - rgb kernel void C7ColorInvert(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(1.0h - inColor.rgb, inColor.a); outputTexture.write(outColor, grid); } // 转灰度图 kernel void C7Color2Gray(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half3 kRec709Luma = half3(0.2126, 0.7152, 0.0722); const half gray = dot(inColor.rgb, kRec709Luma); const half4 outColor = half4(half3(gray), 1.0h); outputTexture.write(outColor, grid); } kernel void C7Color2BGRA(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(inColor.bgr, inColor.a); outputTexture.write(outColor, grid); } kernel void C7Color2BRGA(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(inColor.brg, inColor.a); outputTexture.write(outColor, grid); } kernel void C7Color2GBRA(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(inColor.gbr, inColor.a); outputTexture.write(outColor, grid); } kernel void C7Color2GRBA(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(inColor.grb, inColor.a); outputTexture.write(outColor, grid); } kernel void C7Color2RBGA(texture2d outputTexture [[texture(0)]], texture2d inputTexture [[texture(1)]], uint2 grid [[thread_position_in_grid]]) { const half4 inColor = inputTexture.read(grid); const half4 outColor(inColor.rbg, inColor.a); outputTexture.write(outColor, grid); } 多滤镜联动

运算符链式处理 /// 1.转换成BGRA let filter1 = C7ColorConvert(with: C7ColorConvert.ColorType.bgra) /// 2.调整颗粒度 var filter2 = C7Granularity() filter2.grain = 0.8 /// 3.调整白平衡 var filter3 = C7WhiteBalance() filter3.temperature = 5555 /// 4.调整高光阴影 var filter4 = C7HighlightShadow() filter4.shadows = 0.4 filter4.highlights = 0.5 /// 5.组合操作,获取结果 filterImageView.image = originImage ->> filter1 ->> filter2 ->> filter3 ->> filter4

组合操作 /// 1.转换成RBGA let filter1 = C7ColorConvert(with: C7ColorConvert.ColorType.rbga) /// 2.调整颗粒度 var filter2 = C7Granularity() filter2.grain = 0.8 /// 3.配置灵魂效果 var filter3 = C7SoulOut() filter3.soul = 0.7 /// 4.组合操作 let group: [C7FilterProtocol] = [filter1, filter2, filter3] /// 5.获取结果 filterImageView.image = try? originImage.makeGroup(filters: group) Harbeth功能清单 支持ios系统和macOS系统 支持运算符函数式操作 支持多种模式数据源 UIImage, CIImage, CGImage, CMSampleBuffer, CVPixelBuffer. 支持快速设计滤镜 支持合并多种滤镜效果 支持输出源的快速扩展 支持相机采集特效 支持视频添加滤镜特效 支持矩阵卷积 支持使用系统 MetalPerformanceShaders. 支持兼容 CoreImage. 滤镜部分大致分为以下几个模块: Blend:图像融合技术 Blur:模糊效果 Pixel:图像的基本像素颜色处理 Effect:效果处理 Lookup:查找表过滤器 Matrix: 矩阵卷积滤波器 Shape:图像形状大小相关 Visual: 视觉动态特效 MPS: 系统 MetalPerformanceShaders. 最后 关于颜色转换滤镜介绍与设计到此为止吧。 慢慢再补充其他相关滤镜,喜欢就给我点个星🌟吧。 滤镜Demo地址,目前包含100+种滤镜,同时也支持CoreImage混合使用。 再附上一个开发加速库KJCategoriesDemo地址 再附上一个网络基础库RxNetworksDemo地址 喜欢的老板们可以点个星🌟,谢谢各位老板!!!

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