15 fps ,

cpu占用高，卡死

用的是onCaptureVideoFrame获取的yuv数据，随后将数据推送到sdk，cpu占用暴涨,手机性能很好

_videoFrameObserver = VideoFrameObserver(

onCaptureVideoFrame: (sourceType, videoFrame) {

// print(

// 'Captured video frame from $sourceType size: ${videoFrame.width}x${videoFrame.height} y: ${videoFrame.yBuffer?.length} u:${videoFrame.uBuffer?.length} v:${videoFrame.vBuffer?.length}');

if (!isJoined) {

return;

}

if (videoFrame.yBuffer != null &&

videoFrame.uBuffer != null &&

videoFrame.vBuffer != null &&

videoFrame.width != null &&

videoFrame.height != null) {

final int totalLength = videoFrame.yBuffer!.length +

videoFrame.uBuffer!.length +

videoFrame.vBuffer!.length;

final Uint8List yuvBuffer = Uint8List(totalLength);

yuvBuffer.setRange(

0, videoFrame.yBuffer!.length, videoFrame.yBuffer!);

yuvBuffer.setRange(

videoFrame.yBuffer!.length,

videoFrame.yBuffer!.length + videoFrame.uBuffer!.length,

videoFrame.uBuffer!);

yuvBuffer.setRange(

videoFrame.yBuffer!.length + videoFrame.uBuffer!.length,

totalLength,

videoFrame.vBuffer!);

_pushVideoFrame(

yuvBuffer,

videoFrame.width!,

videoFrame.height!,

VideoPixelFormat.videoPixelNv12,

videoFrame.renderTimeMs ?? DateTime.now().millisecondsSinceEpoch);

}

},

);

_engine.getMediaEngine().registerVideoFrameObserver(_videoFrameObserver);

Future<void> _pushVideoFrame(Uint8List frame, int w, int h,

VideoPixelFormat format, int timestamp) async {

await _engine.getMediaEngine().pushVideoFrame(

frame: ExternalVideoFrame(

type: VideoBufferType.videoBufferArray,

// format: VideoPixelFormat.videoPixelNv12,

format: format,

buffer: frame,

stride: w,

height: h,

// timestamp: DateTime.now().millisecondsSinceEpoch,

timestamp: timestamp,

),

);

}