All Projects → abdullahselek → TakeASelfie

abdullahselek / TakeASelfie

Licence: MIT license
An iOS framework that uses the front camera, detects your face and takes a selfie.

Programming Languages

swift
15916 projects
objective c
16641 projects - #2 most used programming language
shell
77523 projects
ruby
36898 projects - #4 most used programming language

Projects that are alternatives of or similar to TakeASelfie

Imagecoordinatespace
UICoordinateSpace for UIImageView image
Stars: ✭ 42 (+16.67%)
Mutual labels:  carthage, face-detection
Faceaware
An extension that gives UIImageView the ability to focus on faces within an image.
Stars: ✭ 3,004 (+8244.44%)
Mutual labels:  carthage, face-detection
Sqlable
Swift library for making storing data in a SQLite database simple and magic-free
Stars: ✭ 83 (+130.56%)
Mutual labels:  carthage
terran
A human perception library
Stars: ✭ 98 (+172.22%)
Mutual labels:  face-detection
filestack-ios
Official iOS SDK for Filestack - API and content management system that makes it easy to add powerful file uploading and transformation capabilities to any web or mobile application.
Stars: ✭ 44 (+22.22%)
Mutual labels:  carthage
Moya-Gloss
Gloss bindings for Moya
Stars: ✭ 37 (+2.78%)
Mutual labels:  carthage
Polaris
Polaris is a Face recognition attendance system .
Stars: ✭ 211 (+486.11%)
Mutual labels:  face-detection
image processing
image-processing exercises.
Stars: ✭ 25 (-30.56%)
Mutual labels:  face-detection
deepvisualminer
Deep visual mining for your photos and videos using YOLOv2 deep convolutional neural network based object detector and traditional face recognition algorithms
Stars: ✭ 21 (-41.67%)
Mutual labels:  face-detection
ComputerVision-Essentials
Computer Vision Essentials in Python Programming Language 🎉
Stars: ✭ 28 (-22.22%)
Mutual labels:  face-detection
Cat-Face-Detector-with-OpenCV-and-JavaFX
📹 A Small OpenCV (Open Source Computer Vision) Example, who has the ability to detect multiple cat faces at the same time 🐱
Stars: ✭ 24 (-33.33%)
Mutual labels:  face-detection
TVKit
UI components for tvOS
Stars: ✭ 20 (-44.44%)
Mutual labels:  carthage
Soundable
Soundable allows you to play sounds, single and in sequence, in a very easy way
Stars: ✭ 88 (+144.44%)
Mutual labels:  carthage
visage
Add virtual makeup to picture of a face.
Stars: ✭ 97 (+169.44%)
Mutual labels:  face-detection
deepstack-ui
UI for working with Deepstack
Stars: ✭ 115 (+219.44%)
Mutual labels:  face-detection
JSONMagic
JSONMagic makes it easy to traverse and parse JSON in Swift.
Stars: ✭ 19 (-47.22%)
Mutual labels:  carthage
Dots
Lightweight Concurrent Networking Framework
Stars: ✭ 35 (-2.78%)
Mutual labels:  carthage
face-mask-detection-tf2
A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210
Stars: ✭ 72 (+100%)
Mutual labels:  face-detection
Arduino-OpenCV-Human-Follower
Face detector and follower using Arduino and OpenCV in Python
Stars: ✭ 30 (-16.67%)
Mutual labels:  face-detection
virgil-sdk-x
Virgil Core SDK allows developers to get up and running with Virgil Cards Service API quickly and add end-to-end security to their new or existing digital solutions to become HIPAA and GDPR compliant and more.
Stars: ✭ 27 (-25%)
Mutual labels:  carthage

Build Status CocoaPods Compatible Carthage Compatible License

TakeASelfie

An iOS framework that uses the front camera, detects your face and takes a selfie. This api opens the front camera and draws an green oval overlay on the center of the screen. When a single face has been included in the overlay, selfie automatically will be taken and saved in photo album.

Screenshot

Requirements

TakeASelfie Version Minimum iOS Target Swift Version
0.1.4 11.0 5.x
0.1.3 11.0 4.2
0.1.2 11.0 4.1

Don't forget to add permissions to your application.

  • Privacy - Camera Usage Description (For using camera)
  • Privacy - Photo Library Additions Usage Description (To save captured selfies)
  • Privacy - Photo Library Usage Description - Optional (To display saved selfies from photo album)

CocoaPods

CocoaPods is a dependency manager for Cocoa projects. You can install it with the following command:

$ gem install cocoapods

To integrate TakeASelfie into your Xcode project using CocoaPods, specify it in your Podfile:

source 'https://github.com/CocoaPods/Specs.git'
platform :ios, '11.0'
use_frameworks!

target '<Your Target Name>' do
    pod 'TakeASelfie', '~>0.1.4'
end

Carthage

Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks.

You can install Carthage with Homebrew using the following command:

brew update
brew install carthage

To integrate TakeASelfie into your Xcode project using Carthage, specify it in your Cartfile:

github "abdullahselek/TakeASelfie" ~> 0.1.4

Swift Package Manager

Modify your Package.swift file to include the following dependency:

.package(url: "https://github.com/abdullahselek/TakeASelfie.git", from: "0.1.4")

Run swift package resolve

XCFramework

XCFrameworks require Xcode 11 or later and integration is very similar to integration of .framework format. Please use script scripts/build-framework.sh to generate binary TakeASelfie.xcframework archive that you can use as a dependency in Xcode.

TakeASelfie.xcframework is a Release (Optimized) binary that offer best available Swift code performance.

Usage

First import library by

import TakeASelfie.

Extend your viewcontroller from SelfieViewDelegate than you can get the event that selfieviewcontroller dismessed.

extension MainViewController: SelfieViewDelegate {

    func selfieViewControllerDismissed() {

    }

}

Instantiate SelfieViewController and present as modal view controller.

let selfieViewController = SelfieViewController(withDelegate: self)
present(selfieViewController, animated: true, completion: nil)

Notes

TakeASelfie uses swiftlint as a linter to check the coding styles and to use a regular style. A script running whnen you build the framework target which invokes the swiftlint with a configuration file located on the root folder.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].