Photo Assessment (i.e. quality score) using Core ML and Metal.
To run the example project, clone the repo and run PhotoAssessment target.
PhotoAssessmentHelper
generates assessment result quicker and easier, using far less code.
self.helper.requestMLAssessmentScore(for: downsampleImage, completionHandler: { (score) in
DispatchQueue.main.async {
self.assessmentLabel.text = String(format: "Assessment Score:%0.5f", score)
}
})
self.helper.requestMPSAssessmentScore(for: downsampleImage, completionHandler: { (result) in
DispatchQueue.main.async {
self.detailLabel.text = result.description
}
})
Support iOSใtvOS.
Support macOS.
Convert NIMA model to Core ML format.
CocoaPods is a dependency manager for Cocoa projects. You can install it with the following command:
$ gem install cocoapods
To integrate PhotoAssessment 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 'MyApp' do
pod 'PhotoAssessment'
end
You need replace "MyApp" with your project's name.
Then, run the following command:
$ pod install
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 PhotoAssessment into your Xcode project using Carthage, specify it in your Cartfile
:
github "yulingtianxia/PhotoAssessment"
Run carthage update
to build the framework and drag the built PhotoAssessmentKit.framework
into your Xcode project.
Just drag the "Sources" document folder into your project.
- If you need help or you'd like to ask a general question, open an issue.
- If you found a bug, open an issue.
- If you have a feature request, open an issue.
- If you want to contribute, submit a pull request.
yulingtianxia, yulingtianxia@gmail.com
PhotoAssessment is available under the MIT license. See the LICENSE file for more info.