react-native-vision-camera/ios/CameraView+RecordVideo.swift

306 lines
12 KiB
Swift

//
// CameraView+RecordVideo.swift
// mrousavy
//
// Created by Marc Rousavy on 16.12.20.
// Copyright © 2020 mrousavy. All rights reserved.
//
import AVFoundation
// MARK: - CameraView + AVCaptureVideoDataOutputSampleBufferDelegate, AVCaptureAudioDataOutputSampleBufferDelegate
extension CameraView: AVCaptureVideoDataOutputSampleBufferDelegate, AVCaptureAudioDataOutputSampleBufferDelegate {
/**
Starts a video + audio recording with a custom Asset Writer.
*/
func startRecording(options: NSDictionary, callback jsCallbackFunc: @escaping RCTResponseSenderBlock) {
cameraQueue.async {
ReactLogger.log(level: .info, message: "Starting Video recording...")
let callback = Callback(jsCallbackFunc)
var fileType = AVFileType.mov
if let fileTypeOption = options["fileType"] as? String {
guard let parsed = try? AVFileType(withString: fileTypeOption) else {
callback.reject(error: .parameter(.invalid(unionName: "fileType", receivedValue: fileTypeOption)))
return
}
fileType = parsed
}
let errorPointer = ErrorPointer(nilLiteral: ())
let fileExtension = fileType.descriptor ?? "mov"
guard let tempFilePath = RCTTempFilePath(fileExtension, errorPointer) else {
callback.reject(error: .capture(.createTempFileError), cause: errorPointer?.pointee)
return
}
ReactLogger.log(level: .info, message: "File path: \(tempFilePath)")
let tempURL = URL(string: "file://\(tempFilePath)")!
if let flashMode = options["flash"] as? String {
// use the torch as the video's flash
self.setTorchMode(flashMode)
}
guard let videoOutput = self.videoOutput else {
if self.video?.boolValue == true {
callback.reject(error: .session(.cameraNotReady))
return
} else {
callback.reject(error: .capture(.videoNotEnabled))
return
}
}
guard let videoInput = self.videoDeviceInput else {
callback.reject(error: .session(.cameraNotReady))
return
}
// TODO: The startRecording() func cannot be async because RN doesn't allow
// both a callback and a Promise in a single function. Wait for TurboModules?
// This means that any errors that occur in this function have to be delegated through
// the callback, but I'd prefer for them to throw for the original function instead.
let enableAudio = self.audio?.boolValue == true
let onFinish = { (recordingSession: RecordingSession, status: AVAssetWriter.Status, error: Error?) in
defer {
if enableAudio {
self.audioQueue.async {
self.deactivateAudioSession()
}
}
if options["flash"] != nil {
// Set torch mode back to what it was before if we used it for the video flash.
self.setTorchMode(self.torch)
}
}
self.recordingSession = nil
self.isRecording = false
ReactLogger.log(level: .info, message: "RecordingSession finished with status \(status.descriptor).")
if let error = error as NSError? {
if error.domain == "capture/aborted" {
callback.reject(error: .capture(.aborted), cause: error)
} else {
callback.reject(error: .capture(.unknown(message: "An unknown recording error occured! \(error.description)")), cause: error)
}
} else {
if status == .completed {
callback.resolve([
"path": recordingSession.url.absoluteString,
"duration": recordingSession.duration,
])
} else {
callback.reject(error: .unknown(message: "AVAssetWriter completed with status: \(status.descriptor)"))
}
}
}
let recordingSession: RecordingSession
do {
recordingSession = try RecordingSession(url: tempURL,
fileType: fileType,
completion: onFinish)
} catch let error as NSError {
callback.reject(error: .capture(.createRecorderError(message: nil)), cause: error)
return
}
self.recordingSession = recordingSession
var videoCodec: AVVideoCodecType?
if let codecString = options["videoCodec"] as? String {
videoCodec = AVVideoCodecType(withString: codecString)
}
// Init Video
guard let videoSettings = self.recommendedVideoSettings(videoOutput: videoOutput, fileType: fileType, videoCodec: videoCodec),
!videoSettings.isEmpty else {
callback.reject(error: .capture(.createRecorderError(message: "Failed to get video settings!")))
return
}
// get pixel format (420f, 420v, x420)
let pixelFormat = CMFormatDescriptionGetMediaSubType(videoInput.device.activeFormat.formatDescription)
recordingSession.initializeVideoWriter(withSettings: videoSettings,
pixelFormat: pixelFormat)
// Init Audio (optional, async)
if enableAudio {
// Activate Audio Session (blocking)
self.activateAudioSession()
if let audioOutput = self.audioOutput,
let audioSettings = audioOutput.recommendedAudioSettingsForAssetWriter(writingTo: fileType) {
recordingSession.initializeAudioWriter(withSettings: audioSettings)
}
}
// start recording session with or without audio.
do {
try recordingSession.startAssetWriter()
} catch let error as NSError {
callback.reject(error: .capture(.createRecorderError(message: "RecordingSession failed to start asset writer.")), cause: error)
return
}
self.isRecording = true
}
}
func stopRecording(promise: Promise) {
cameraQueue.async {
self.isRecording = false
withPromise(promise) {
guard let recordingSession = self.recordingSession else {
throw CameraError.capture(.noRecordingInProgress)
}
recordingSession.finish()
return nil
}
}
}
func pauseRecording(promise: Promise) {
cameraQueue.async {
withPromise(promise) {
guard self.recordingSession != nil else {
// there's no active recording!
throw CameraError.capture(.noRecordingInProgress)
}
self.isRecording = false
return nil
}
}
}
func resumeRecording(promise: Promise) {
cameraQueue.async {
withPromise(promise) {
guard self.recordingSession != nil else {
// there's no active recording!
throw CameraError.capture(.noRecordingInProgress)
}
self.isRecording = true
return nil
}
}
}
public final func captureOutput(_ captureOutput: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from _: AVCaptureConnection) {
// Video Recording runs in the same queue
if isRecording {
guard let recordingSession = recordingSession else {
invokeOnError(.capture(.unknown(message: "isRecording was true but the RecordingSession was null!")))
return
}
switch captureOutput {
case is AVCaptureVideoDataOutput:
recordingSession.appendBuffer(sampleBuffer, type: .video, timestamp: CMSampleBufferGetPresentationTimeStamp(sampleBuffer))
case is AVCaptureAudioDataOutput:
let timestamp = CMSyncConvertTime(CMSampleBufferGetPresentationTimeStamp(sampleBuffer),
from: audioCaptureSession.masterClock ?? CMClockGetHostTimeClock(),
to: captureSession.masterClock ?? CMClockGetHostTimeClock())
recordingSession.appendBuffer(sampleBuffer, type: .audio, timestamp: timestamp)
default:
break
}
}
if let frameProcessor = frameProcessorCallback, captureOutput is AVCaptureVideoDataOutput {
// check if last frame was x nanoseconds ago, effectively throttling FPS
let frameTime = UInt64(CMSampleBufferGetPresentationTimeStamp(sampleBuffer).seconds * 1_000_000_000.0)
let lastFrameProcessorCallElapsedTime = frameTime - lastFrameProcessorCall
let secondsPerFrame = 1.0 / actualFrameProcessorFps
let nanosecondsPerFrame = secondsPerFrame * 1_000_000_000.0
if lastFrameProcessorCallElapsedTime >= UInt64(nanosecondsPerFrame) {
if !isRunningFrameProcessor {
// we're not in the middle of executing the Frame Processor, so prepare for next call.
CameraQueues.frameProcessorQueue.async {
self.isRunningFrameProcessor = true
let perfSample = self.frameProcessorPerformanceDataCollector.beginPerformanceSampleCollection()
let frame = Frame(buffer: sampleBuffer, orientation: self.bufferOrientation)
frameProcessor(frame)
perfSample.endPerformanceSampleCollection()
self.isRunningFrameProcessor = false
}
lastFrameProcessorCall = frameTime
} else {
// we're still in the middle of executing a Frame Processor for a previous frame, so a frame was dropped.
ReactLogger.log(level: .warning, message: "The Frame Processor took so long to execute that a frame was dropped.")
}
}
if isReadyForNewEvaluation {
// last evaluation was more than 1sec ago, evaluate again
evaluateNewPerformanceSamples()
}
}
}
private func evaluateNewPerformanceSamples() {
lastFrameProcessorPerformanceEvaluation = DispatchTime.now()
guard let videoDevice = videoDeviceInput?.device else { return }
guard frameProcessorPerformanceDataCollector.hasEnoughData else { return }
let maxFrameProcessorFps = Double(videoDevice.activeVideoMinFrameDuration.timescale) * Double(videoDevice.activeVideoMinFrameDuration.value)
let averageFps = 1.0 / frameProcessorPerformanceDataCollector.averageExecutionTimeSeconds
let suggestedFrameProcessorFps = max(floor(min(averageFps, maxFrameProcessorFps)), 1)
if frameProcessorFps.intValue == -1 {
// frameProcessorFps="auto"
actualFrameProcessorFps = suggestedFrameProcessorFps
} else {
// frameProcessorFps={someCustomFpsValue}
invokeOnFrameProcessorPerformanceSuggestionAvailable(currentFps: frameProcessorFps.doubleValue,
suggestedFps: suggestedFrameProcessorFps)
}
}
private func recommendedVideoSettings(videoOutput: AVCaptureVideoDataOutput, fileType: AVFileType, videoCodec: AVVideoCodecType?) -> [String: Any]? {
if videoCodec != nil {
return videoOutput.recommendedVideoSettings(forVideoCodecType: videoCodec!, assetWriterOutputFileType: fileType)
} else {
return videoOutput.recommendedVideoSettingsForAssetWriter(writingTo: fileType)
}
}
private var isReadyForNewEvaluation: Bool {
let lastPerformanceEvaluationElapsedTime = DispatchTime.now().uptimeNanoseconds - lastFrameProcessorPerformanceEvaluation.uptimeNanoseconds
return lastPerformanceEvaluationElapsedTime > 1_000_000_000
}
/**
Gets the orientation of the CameraView's images (CMSampleBuffers).
*/
var bufferOrientation: UIImage.Orientation {
guard let cameraPosition = videoDeviceInput?.device.position else {
return .up
}
switch UIDevice.current.orientation {
case .portrait:
return cameraPosition == .front ? .leftMirrored : .right
case .landscapeLeft:
return cameraPosition == .front ? .downMirrored : .up
case .portraitUpsideDown:
return cameraPosition == .front ? .rightMirrored : .left
case .landscapeRight:
return cameraPosition == .front ? .upMirrored : .down
case .unknown, .faceUp, .faceDown:
fallthrough
@unknown default:
return .up
}
}
}