yangKJ / Harbeth

🎨 GPU accelerated image / video and camera filter library based on Metal. Support macOS & iOS. 图像、视频、相机滤镜框架
MIT License
474 stars 70 forks source link
camera coreimage filter graphics image metal video vr

Harbeth

Animated Still

Carthage compatible CocoaPods Compatible CocoaPods Compatible Platform

Harbeth is a high performance Swift library for GPU accelerated image processing and realtime camera capture and video smooth playback, and then add filters based on Metal, and also compatible for CoreImage filters and using Metal performance shaders filters.

This library is highly inspired by GPUImage.


English | 简体中文

Features

🟣 At the moment, the most important features of metal moudle can be summarized as follows:

A total of 100+ kinds of built-in filters are currently available.✌️

Requirements

iOS Target macOS Target Xcode Version Swift Version
iOS 10.0+ macOS 10.13+ Xcode 10.0+ Swift 5.0+

Usage

Image

let filter1 = C7ColorMatrix4x4(matrix: Matrix4x4.Color.sepia)
let filter2 = C7Granularity(grain: 0.8)
let filter3 = C7SoulOut(soul: 0.7)

let filters = [filter1, filter2, filter3]

// Use:
let dest = HarbethIO.init(element: originImage, filters: filters)
// Synchronize do something..
ImageView.image = try? dest.output()

// OR Use:
ImageView.image = try? originImage.makeGroup(filters: filters)

// OR Use:
ImageView.image = originImage.filtering(filter1, filter2, filter3)

// OR Use Operator:
ImageView.image = originImage ->> filter1 ->> filter2 ->> filter3

This performance is the best. 🚗🚗

let dest = HarbethIO.init(element: ``Source``, filter: ``filter``)

dest.transmitOutput(success: { [weak self] image in
    // do something..
})

ImageView

// It's used the same way as NSImageView.
let renderView = RenderImageView.init(image: originImage)

renderView.filters = [C7Storyboard(ranks: 2)]

Camera

// Add an edge detection filter:
let filter = C7EdgeGlow(lineColor: .red)

// Generate camera collector:
let camera = C7CollectorCamera.init(delegate: self)
camera.captureSession.sessionPreset = AVCaptureSession.Preset.hd1280x720
camera.filters = [filter]

extension CameraViewController: C7CollectorImageDelegate {
    func preview(_ collector: C7Collector, fliter image: C7Image) {
        // do something..
    }
}

Video

lazy var video: C7CollectorVideo = {
    let videoURL = URL.init(string: "Link")!
    let asset = AVURLAsset.init(url: videoURL)
    let playerItem = AVPlayerItem.init(asset: asset)
    let player = AVPlayer.init(playerItem: playerItem)
    let video = C7CollectorVideo.init(player: player, delegate: self)
    let filter = C7ColorMatrix4x4(matrix: Matrix4x4.Color.sepia)
    video.filters = [filter]
    return video
}()

self.video.play()

extension PlayerViewController: C7CollectorImageDelegate {
    func preview(_ collector: C7Collector, fliter image: C7Image) {
        // do something..
    }
}

SwiftUI Support

let filters: [C7FilterProtocol] = [
    CIHighlight(highlight: intensity),
    C7WaterRipple(ripple: intensity),
]
HarbethView(image: inputImage, filters: filters, content: { image in
    image.resizable()
        .aspectRatio(contentMode: .fit)
})

CocoaPods

pod 'Harbeth'
pod 'OpencvQueen'

Swift Package Manager

Swift Package Manager is a tool for managing the distribution of Swift code. It’s integrated with the Swift build system to automate the process of downloading, compiling, and linking dependencies.

Xcode 11+ is required to build Harbeth using Swift Package Manager.

To integrate Harbeth into your Xcode project using Swift Package Manager, add it to the dependencies value of your Package.swift:

dependencies: [
    .package(url: "https://github.com/yangKJ/Harbeth.git", branch: "master"),
]

Remarks

The general process is almost like this, the Demo is also written in great detail, you can check it out for yourself.🎷

HarbethDemo

Tip: If you find it helpful, please help me with a star. If you have any questions or needs, you can also issue.

Thanks.🎇

About the author

Buy me a coffee or support me on GitHub.

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Alipay or WeChat. Thanks.


License

Harbeth is available under the MIT license. See the LICENSE file for more info.