Giter VIP home page Giter VIP logo

cameraengine's Introduction

cameraenginelogo

๐ŸŒŸ The most advanced Camera framework in Swift ๐ŸŒŸ

License MITย  Carthage compatibleย  CocoaPodsย  Build Status CocoaPodsย  Supportย  codebeat badgeย  Donate

CameraEngine is an iOS camera engine library that allows easy integration of special capture features and camera customization in your iOS app.

๐Ÿ”ฅ Features

          |  CameraEngine

--------------------------|------------------------------------------------------------ :relaxed: | Support iOS8 - iOS9 :triangular_ruler: | Support orientation device :checkered_flag: | Fast capture :camera: | Photo capture :movie_camera: | Video capture :chart_with_upwards_trend: | quality settings presset video / photo capture :raising_hand: | switch device (front, back) :bulb: | flash mode management :flashlight: | torch mode management :mag_right: | focus mode management :bowtie: | detection face, barecode, and qrcode :rocket: | GIF encoder

๐Ÿ”จ Installation

CocoaPods

  • Add pod "CameraEngine" to your Podfile.
  • Run pod install or pod update.
  • import CameraEngine

Carthage

  • Add github "remirobert/CameraEngine" to your Cartfile.
  • Run carthage update and add the framework to your project.
  • import CameraEngine

Manually

  • Download all the files in the CameraEngine subdirectory.
  • Add the source files to your Xcode project.
  • import CameraEngine

๐Ÿš€ Quick start

First let's init the and start the camera session. You can call that in the viewDidLoad, or in the appDelegate.

override func viewDidLoad() {
  super.viewDidLoad()
  self.cameraEngine.startSession()
}

Next time to display the preview layer

override func viewDidLayoutSubviews() {
  let layer = self.cameraEngine.previewLayer
        
  layer.frame = self.view.bounds
  self.view.layer.insertSublayer(layer, atIndex: 0)
  self.view.layer.masksToBounds = true
}

Capture a photo

self.cameraEngine.capturePhoto { (image: UIImage?, error: NSError?) -> (Void) in
  //get the picture tooked in the ๐Ÿ‘‰ image
}

Capture a video

private func startRecording() {
  guard let url = CameraEngineFileManager.documentPath("video.mp4") else {
    return
  }
            
  self.cameraEngine.startRecordingVideo(url, blockCompletion: { (url, error) -> (Void) in
  })
}

private func stopRecording() {
  self.cameraEngine.stopRecordingVideo()
}

Generate animated image GIF

guard let url = CameraEngineFileManager.documentPath("animated.gif") else {
  return
}
self.cameraEngine.createGif(url, frames: self.frames, delayTime: 0.1, completionGif: { (success, url) -> (Void) in
  //Do some crazy stuff here
})

๐Ÿ”ง configurations

CameraEngine, allows you to set some parameters, such as management of flash, torch and focus. But also on the quality of the media, which also has an impact on the size of the output file.

Flash

self.cameraEngine.flashMode = .On
self.cameraEngine.flashMode = .Off
self.cameraEngine.flashMode = .Auto

Torch

self.cameraEngine.torchMode = .On
self.cameraEngine.torchMode = .Off
self.cameraEngine.torchMode = .Auto

Focus

          |  CameraEngine focus

--------------------------|------------------------------------------------------------ .Locked | means the lens is at a fixed position .AutoFocus | means setting this will cause the camera to focus once automatically, and then return back to Locked .ContinuousAutoFocus | means the camera will automatically refocus on the center of the frame when the scene changes

self.cameraEngine.cameraFocus = .Locked
self.cameraEngine.cameraFocus = .AutoFocus
self.cameraEngine.cameraFocus = .ContinuousAutoFocus

Camera presset Photo

self.cameraEngine.sessionPresset = .Low
self.cameraEngine.sessionPresset = .Medium
self.cameraEngine.sessionPresset = .High
...

Camera presset Video

self.cameraEngine.videoEncoderPresset = .Preset640x480
self.cameraEngine.videoEncoderPresset = .Preset960x540
self.cameraEngine.videoEncoderPresset = .Preset1280x720
self.cameraEngine.videoEncoderPresset = .Preset1920x1080
self.cameraEngine.videoEncoderPresset = .Preset3840x2160

๐Ÿ‘€ Object detection

CameraEngine can detect faces, QRcodes, or barcode. It will return all metadata on each frame, when it detects something. To exploit you whenever you want later.

Set the detection mode

self.cameraEngine.metadataDetection = .Face
self.cameraEngine.metadataDetection = .QRCode
self.cameraEngine.metadataDetection = .BareCode
self.cameraEngine.metadataDetection = .None //disable the detection

exploiting face detection

self.cameraEngine.blockCompletionFaceDetection = { faceObject in
  let frameFace = (faceObject as AVMetadataObject).bounds
  self.displayLayerDetection(frame: frameFace)
}

exploiting code detection (barecode and QRCode)

self.cameraEngine.blockCompletionCodeDetection = { codeObject in
  let valueCode = codeObject.stringValue
  let frameCode = (codeObject as AVMetadataObject).bounds
  self.displayLayerDetection(frame: frameCode)
}

๐Ÿš—๐Ÿ’จ Example

You will find a sample project, which implements all the features of CameraEngine, with an interface that allows you to test and play with the settings. To run the example projet, run pod install, because it uses the current prod version of CameraEngine.

Contributors ๐Ÿป

License

This project is licensed under the terms of the MIT license. See the LICENSE file.

This project is in no way affiliated with Apple Inc. This project is open source under the MIT license, which means you have full access to the source code and can modify it to fit your own needs.

If you want to support the development of this library, feel free to Donate. Thanks to all contributors so far!

bannabot

cameraengine's People

Contributors

remirobert avatar davidlondono avatar eyaldar avatar bitdeli-chef avatar jevarg avatar marcinwyszynski avatar michalciurus avatar patthehuman avatar

Watchers

James Cloos avatar Kei Sato avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.