Cabbage alternatives and similar libraries
Based on the "Video" category.
Alternatively, view Cabbage alternatives based on common mentions on social networks and blogs.
🔄 Export and transcode media in Swift
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Do you think we are missing an alternative of Cabbage or a related project?
A high-level video composition framework build on top of AVFoundation. It's simple to use and easy to extend. Use it and make life easier if you are implementing video composition feature.
This project has a Timeline concept. Any resource can put into Timeline. A resource can be Image, Video, Audio, Gif and so on.
- Build result content objcet with only few step.
- Create resource
- Set configuration
- Put them into Timeline
- Use Timeline to generate AVPlayerItem/AVAssetImageGenerator/AVExportSession
- Resouce: Support video, audio, and image. Resource is extendable, you can create your customized resource type. e.g gif image resource
- Video configuration support: transform, opacity and so on. The configuration is extendable.
- Audio configuration support: change volume or process with audio raw data in real time. The configuration is extendable.
- Transition: Clips may transition with previous and next clip
Below is the simplest example. Create a resource from AVAsset, set the video frame's scale mode to aspect fill, then insert trackItem to timeline, after all use CompositionGenerator to build AVAssetExportSession/AVAssetImageGenerator/AVPlayerItem.
// 1. Create a resource let asset: AVAsset = ... let resource = AVAssetTrackResource(asset: asset) // 2. Create a TrackItem instance, TrackItem can configure video&audio configuration let trackItem = TrackItem(resource: resource) // Set the video scale mode on canvas trackItem.configuration.videoConfiguration.baseContentMode = .aspectFill // 3. Add TrackItem to timeline let timeline = Timeline() timeline.videoChannel = [trackItem] timeline.audioChannel = [trackItem] // 4. Use CompositionGenerator to create AVAssetExportSession/AVAssetImageGenerator/AVPlayerItem let compositionGenerator = CompositionGenerator(timeline: timeline) // Set the video canvas's size compositionGenerator.renderSize = CGSize(width: 1920, height: 1080) let exportSession = compositionGenerator.buildExportSession(presetName: AVAssetExportPresetMediumQuality) let playerItem = compositionGenerator.buildPlayerItem() let imageGenerator = compositionGenerator.buildImageGenerator()
Use to construct resource, the developer is responsible for putting resources at the right time range.
Use CompositionGenerator to create AVAssetExportSession/AVAssetImageGenerator/AVPlayerItem
CompositionGenerator use Timeline instance translate to AVFoundation API.
Resource provider Image or/and audio data. It also provide time infomation about the data.
- Image type:
ImageResource: Provide a CIImage as video frame
PHAssetImageResource: Provide a PHAsset, load CIImage as video frame
AVAssetReaderImageResource: Provide AVAsset, reader samplebuffer as video frame using AVAssetReader
AVAssetReverseImageResource: Provide AVAsset, reader samplebuffer as video frame using AVAssetReader, but reverse the order
- Video&Audio type:
AVAssetTrackResource: Provide AVAsset, use AVAssetTrack as video frame and audio frame.
PHAssetTrackResource: Provide PHAsset, load AVAsset from it.
A TrackItem contains Resource, VideoConfiguration and AudioConfiguration.
- Video Configuration
- baseContentMode, video frame's scale mode base on canvas size
- configurations, custom filter can be added here.
- Audio Configuration
- nodes, apply custom audio process operation, e.g VolumeAudioConfiguration
- videoTransition, audioTransition
You can provide custom resource type by subclass
Resource, and implement
func tracks(for type: AVMediaType) -> [AVAssetTrack].
ImageResource, you can use CIImage as video frame.
Custom Image Filter
Image filter need Implement
VideoConfigurationProtocol protocol, then it can be added to
KeyframeVideoConfiguration is a concrete class.
Custom Audio Mixer
Audio Mixer need implement
AudioConfigurationProtocol protocol, then it can be added to
VolumeAudioConfiguration is a concrete class.
Why I create this project
AVFoundation aready provide powerful composition API for video and audio, but these API are far away from easy to use.
We need to know how and when to connect different tracks. Say we save the time range info for a track, finnaly we will realize the time range info is very easy to broken, consider below scenarios
- Change previous track's time range info
- Change speed
- Add new track
- Add/remove transition
These operations will affect the timeline and all tracks' time range info need to be updated.
Bad thing is that AVComposition only supports video track and audio track. If we want to combine photo and video, it's very difficult to implement.
AVVideoCompositionInstruction to construct timeline, use
AVVideoCompositionLayerInstruction to configure track's transform. If we want to operate raw video frame data, need implement
After I write the code, I realized there are many codes unrelated to business logic, they should be encapsulated.
3.Difffcult to extend features
AVFoundation only supports a few basic composition features. As far as I know, it only can change video frame transform and audio volume. If a developer wants to implement other features, e.g apply a filter to a video frame, then need to rewrite AVVideoCompostion's
AVVideoCompositing protocol. The workload suddenly become very large.
Life is hard why should I write hard code too? So I create Cabbage, easy to understand API, flexible feature scalability.
platform :ios, '9.0' use_frameworks! target 'MyApp' do # your other pod # ... pod 'VFCabbage' end
It is not recommended to install the framework manually, but if you have to do it manually. You can
- simplely drag
Cabbage/Sourcesfolder to you project.
- Or add Cabbage as a submodule.
$ git submodule add https://github.com/VideoFlint/Cabbage.git
- iOS 9.0+
- Swift 4.x
Projects using Cabbage
- VideoCat: A demo project demonstrates how to use Cabbage.
- Icon designed by 熊猫先生
*Note that all licence references and agreements mentioned in the Cabbage README section above are relevant to that project's source code only.