feat(webrtc): 新增解码耗时统计并修复黑屏问题
1. 新增自编码与全托管模式的解码耗时探针(VideoSink),统计帧率与解码耗时。 2. 修复 SPS 与 PPS 作为独立 CONFIG 单元发送时被误丢弃导致 H.264 永久黑屏的问题。 3. 优化分片重组缓冲,丢弃过期单元并限制缓冲堆积以防内存泄漏。
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@@ -16,6 +16,10 @@ import io.flutter.view.TextureRegistry
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import java.io.ByteArrayOutputStream
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import java.nio.ByteBuffer
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import java.nio.ByteOrder
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import org.webrtc.VideoFrame
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import org.webrtc.VideoSink
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import org.webrtc.VideoTrack
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import com.cloudwebrtc.webrtc.FlutterWebRTCPlugin
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private const val CHANNEL = "com.ttstd.fluttercontroller/self_codec"
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private const val TAG = "SelfCodecDecoderPlugin"
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@@ -27,6 +31,8 @@ private const val UNIT_TYPE_CONFIG = 1
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private const val UNIT_TYPE_FRAME = 2
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private const val PLACEHOLDER_W = 1920
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private const val PLACEHOLDER_H = 1080
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// 解码耗时滑动平均窗口(帧数)。
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private const val DECODE_STATS_WINDOW = 90
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/// 单个单元的分片重组缓冲。
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private class ChunkBuffer(val seq: Int, val total: Int) {
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@@ -52,6 +58,80 @@ private class ChunkBuffer(val seq: Int, val total: Int) {
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private class Frame(val data: ByteArray, val pts: Long, val key: Boolean)
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/// WebRTC 全托管模式下的解码耗时探针:给远端视频轨道额外挂一个 [VideoSink],
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/// 逐帧记录真实到达时间,计算帧间耗时(≈真实解码+渲染周期)的 last/avg/peak 与帧率。
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/// 与自编码解码器不同,这里拿不到 MediaCodec 的单帧解码开销,只能测"连续两帧被解码
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/// 交付"的真实时间间隔——它是原生层实测值,不会像 totalDecodeTime 那样恒为 0。
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private class DecodeProbeSink {
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private val lock = Any()
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private var lastArrivalNs: Long = 0
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private var sumMs = 0.0
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private var count = 0
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private var lastMs = 0.0
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private var avgMs = 0.0
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private var peakMs = 0.0
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private var lastFpsStampMs = 0L
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private var framesSinceFps = 0
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private var fpsNow = 0
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fun onFrame() {
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val now = System.nanoTime()
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synchronized(lock) {
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if (lastArrivalNs != 0L) {
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val deltaMs = (now - lastArrivalNs) / 1_000_000.0
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// 丢弃异常跳变(首帧 / 长时间卡顿后的大间隔),避免污染统计。
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if (deltaMs in 0.5..1000.0) {
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lastMs = deltaMs
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if (peakMs < deltaMs) peakMs = deltaMs
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count++
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sumMs += deltaMs
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avgMs = sumMs / count
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// 1 秒滑动窗口估算当前帧率。
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val nowMs = System.currentTimeMillis()
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framesSinceFps++
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if (lastFpsStampMs != 0L && nowMs - lastFpsStampMs >= 1000) {
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fpsNow = framesSinceFps * 1000 / (nowMs - lastFpsStampMs)
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framesSinceFps = 0
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lastFpsStampMs = nowMs
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} else if (lastFpsStampMs == 0L) {
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lastFpsStampMs = nowMs
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}
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}
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}
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lastArrivalNs = now
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}
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}
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fun snapshot(): Map<String, Any> = synchronized(lock) {
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mapOf(
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"lastMs" to lastMs,
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"avgMs" to avgMs,
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"peakMs" to peakMs,
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"totalFrames" to count,
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"fpsNow" to fpsNow,
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"fpsAvg" to if (avgMs > 0) (1000.0 / avgMs).toInt() else 0
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)
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}
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fun reset() = synchronized(lock) {
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lastArrivalNs = 0
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sumMs = 0.0
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count = 0
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lastMs = 0.0
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avgMs = 0.0
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peakMs = 0.0
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lastFpsStampMs = 0L
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framesSinceFps = 0
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fpsNow = 0
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}
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}
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private data class ProbeHolder(
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val track: VideoTrack,
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val sink: VideoSink,
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val stats: DecodeProbeSink
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)
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/// 自编码解码器(控制端原生实现)。
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///
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/// 对应 WebRTCController 的 SelfCodecDecoder.java:从 `video` DataChannel 接收
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@@ -63,6 +143,10 @@ class SelfCodecDecoderPlugin :
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private var methodChannel: MethodChannel? = null
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private var textureRegistry: TextureRegistry? = null
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/// WebRTC 全托管模式的解码耗时探针(独立通道,复用同一 MethodCallHandler)。
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private var probeChannel: MethodChannel? = null
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private var probeHolder: ProbeHolder? = null
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private var textureEntry: TextureRegistry.SurfaceTextureEntry? = null
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private var surfaceTexture: SurfaceTexture? = null
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private var surface: Surface? = null
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@@ -77,17 +161,34 @@ class SelfCodecDecoderPlugin :
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private val frameQueue = ArrayList<Frame>()
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private val inputQueue = ArrayList<Int>()
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// 已完成重组的最大单元序号,用于丢弃明显过期的旧单元。
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private var lastSeq = -1
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// —— 解码耗时统计 ——
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// 记录每帧从 queueInputBuffer 到 onOutputBufferAvailable 的时延(毫秒)。
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private val statsLock = Any()
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private val decodeStartNs = HashMap<Long, Long>() // pts(us) -> 入队 nanoTime
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private val recentDecodeMs = ArrayDeque<Double>() // 最近若干帧耗时,用于滑动平均
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private var lastDecodeMs = 0.0
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private var maxDecodeMs = 0.0
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private var decodedFrames = 0L
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private val mainHandler = Handler(Looper.getMainLooper())
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override fun onAttachedToEngine(binding: FlutterPlugin.FlutterPluginBinding) {
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textureRegistry = binding.textureRegistry
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methodChannel = MethodChannel(binding.binaryMessenger, CHANNEL)
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methodChannel?.setMethodCallHandler(this)
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// 解码耗时探针(WebRTC 全托管模式):独立通道,复用同一 handler。
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probeChannel = MethodChannel(binding.binaryMessenger, "webrtc_decode_probe")
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probeChannel?.setMethodCallHandler(this)
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}
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override fun onDetachedFromEngine(binding: FlutterPlugin.FlutterPluginBinding) {
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methodChannel?.setMethodCallHandler(null)
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methodChannel = null
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probeChannel?.setMethodCallHandler(null)
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probeChannel = null
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textureRegistry = null
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}
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@@ -126,14 +227,75 @@ class SelfCodecDecoderPlugin :
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if (!enabled) releaseDecoder()
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result.success(null)
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}
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"getStats" -> {
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result.success(collectStats())
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}
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"dispose" -> {
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releaseAll()
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result.success(null)
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}
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"attachWebRtcDecodeProbe" -> {
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val trackId = call.argument<String>("trackId")
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if (trackId == null) {
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result.error("PROBE", "trackId is null", null)
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} else {
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attachWebRtcDecodeProbe(trackId, result)
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}
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}
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"detachWebRtcDecodeProbe" -> detachWebRtcDecodeProbe(result)
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"getWebRtcDecodeStats" -> getWebRtcDecodeStats(result)
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else -> result.notImplemented()
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}
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}
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// —— WebRTC 全托管模式解码耗时探针 ——
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private fun attachWebRtcDecodeProbe(trackId: String, result: MethodChannel.Result) {
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try {
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val plugin = FlutterWebRTCPlugin.sharedSingleton
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val track = plugin?.getRemoteTrack(trackId)
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if (track !is VideoTrack) {
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result.error("PROBE", "remote video track not found: $trackId", null)
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return
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}
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detachWebRtcDecodeProbeInternal()
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val stats = DecodeProbeSink()
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val sink = VideoSink { stats.onFrame() }
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track.addSink(sink)
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probeHolder = ProbeHolder(track, sink, stats)
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result.success(null)
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} catch (e: Exception) {
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Log.e(TAG, "attachWebRtcDecodeProbe failed", e)
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result.error("PROBE", e.message, null)
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}
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}
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private fun detachWebRtcDecodeProbeInternal() {
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probeHolder?.let { (track, sink, stats) ->
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try {
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track.removeSink(sink)
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} catch (e: Exception) {
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Log.w(TAG, "removeSink failed", e)
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}
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stats.reset()
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}
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probeHolder = null
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}
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private fun detachWebRtcDecodeProbe(result: MethodChannel.Result) {
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detachWebRtcDecodeProbeInternal()
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result.success(null)
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}
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private fun getWebRtcDecodeStats(result: MethodChannel.Result) {
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val holder = probeHolder
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if (holder == null) {
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result.success(null)
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} else {
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result.success(holder.stats.snapshot())
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}
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}
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private fun createInternal(): Int {
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if (textureEntry != null) return textureEntry!!.id().toInt()
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val entry = textureRegistry?.createSurfaceTexture() ?: return -1
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@@ -178,14 +340,26 @@ class SelfCodecDecoderPlugin :
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}
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private fun handleChunk(seq: Int, total: Int, idx: Int, data: ByteArray) {
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if (total <= 0) return
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// 过期检查:同一"单元"的所有分片共用同一个 seq(以 idx 区分),
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// 因此不能用 seq <= lastSeq 丢弃——否则同一单元除首片外的分片都会被误删,
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// 导致大帧永远无法重组、自编码串流黑屏。这里只丢弃明显更旧(seq 明显小于 lastSeq)
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// 的旧单元分片,相同 seq(同单元的其它分片)放行。
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if (lastSeq != -1 && seq < lastSeq && (lastSeq - seq) < 1000) return
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var buf = chunkBuffers[seq]
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if (buf == null) {
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buf = ChunkBuffer(seq, total)
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chunkBuffers[seq] = buf
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// 防止内存堆积:重组缓冲超过 24 个未完成单元时丢弃最旧的。
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if (chunkBuffers.size > 24) {
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val minKey = chunkBuffers.keys.minOrNull()
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if (minKey != null) chunkBuffers.remove(minKey)
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}
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}
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buf.add(idx, data)
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if (buf.isComplete()) {
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chunkBuffers.remove(seq)
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if (seq > lastSeq) lastSeq = seq
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handleUnit(buf.join())
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}
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}
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@@ -208,9 +382,21 @@ class SelfCodecDecoderPlugin :
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private fun handleConfig(config: ByteArray) {
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synchronized(configLock) {
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if (configured) return // 忽略重复参数集
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// 去重:仅当队列中尚无相同参数集时加入,避免关键帧前重发造成堆积。
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// 关键:绝不能因为 configured 就 return —— 编码端把 SPS(csd-0) 与 PPS(csd-1)
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// 作为两个独立的 CONFIG 单元分别发送。若第一个 CONFIG(SPS) 到达后即置
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// configured=true 而直接丢弃第二个 CONFIG(PPS),解码器只拿到 SPS 缺少 PPS,
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// H.264 将无法解码 → 永久黑屏(这正是"自编码无法显示"的根因)。
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for (c in pendingConfigs) {
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if (c.contentEquals(config)) return
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}
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pendingConfigs.add(config)
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tryConfigure()
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if (!configured) {
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tryConfigure()
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} else {
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// 已配置时也尝试喂入,以应对中途的参数集更新。
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feed()
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}
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}
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}
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@@ -240,6 +426,8 @@ class SelfCodecDecoderPlugin :
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override fun onOutputBufferAvailable(
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codec: MediaCodec, index: Int, info: MediaCodec.BufferInfo) {
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// 用输出帧的 presentationTimeUs 匹配入队时间戳,统计解码耗时。
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recordDecodeTime(info.presentationTimeUs)
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try {
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codec.releaseOutputBuffer(index, true)
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} catch (e: Exception) {
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@@ -311,6 +499,12 @@ class SelfCodecDecoderPlugin :
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val flags = if (frame.key) MediaCodec.BUFFER_FLAG_KEY_FRAME else 0
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decoder?.queueInputBuffer(
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index, 0, frame.data.size, frame.pts, flags)
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// 记录该帧入队时间,供输出回调计算解码耗时。
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synchronized(statsLock) {
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decodeStartNs[frame.pts] = System.nanoTime()
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// 防止乱序/丢帧导致 map 泄漏。
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if (decodeStartNs.size > 300) decodeStartNs.clear()
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}
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} catch (e: Exception) {
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Log.w(TAG, "queue frame failed", e)
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}
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@@ -318,6 +512,33 @@ class SelfCodecDecoderPlugin :
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}
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}
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/// 输出帧到达时计算解码耗时(毫秒),并更新滑动平均/峰值/计数。
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private fun recordDecodeTime(pts: Long) {
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synchronized(statsLock) {
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val startNs = decodeStartNs.remove(pts) ?: return
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val ms = (System.nanoTime() - startNs) / 1_000_000.0
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lastDecodeMs = ms
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if (ms > maxDecodeMs) maxDecodeMs = ms
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decodedFrames++
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recentDecodeMs.addLast(ms)
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while (recentDecodeMs.size > DECODE_STATS_WINDOW) recentDecodeMs.removeFirst()
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}
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}
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/// 汇总解码统计供 Dart 侧读取(毫秒)。
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private fun collectStats(): Map<String, Any> {
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synchronized(statsLock) {
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val avg = if (recentDecodeMs.isEmpty()) 0.0
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else recentDecodeMs.sum() / recentDecodeMs.size
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return mapOf(
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"lastMs" to lastDecodeMs,
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"avgMs" to avg,
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"maxMs" to maxDecodeMs,
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"count" to decodedFrames
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)
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}
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}
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private fun releaseDecoder() {
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synchronized(configLock) {
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try {
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@@ -333,6 +554,17 @@ class SelfCodecDecoderPlugin :
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pendingConfigs.clear()
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frameQueue.clear()
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inputQueue.clear()
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// 重置序号并清空重组缓冲,避免重连/重启后首帧被误判为过期而丢弃。
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lastSeq = -1
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chunkBuffers.clear()
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// 重置解码耗时统计。
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synchronized(statsLock) {
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decodeStartNs.clear()
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recentDecodeMs.clear()
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lastDecodeMs = 0.0
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maxDecodeMs = 0.0
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decodedFrames = 0L
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}
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}
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}
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Reference in New Issue
Block a user