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本文档主要介绍如何使用 TRTC SDK 实现自定义视频采集和渲染,分为:视频采集、视频渲染两个部分。
自定义视频采集
TRTC SDK 的自定义视频采集功能的开启分为两步,即:开启功能、发送视频帧给 SDK,具体 API 使用步骤见下文,同时我们也提供有对应平台的API-Example:AndroidiOSWindows
开启自定义视频采集功能
首先,您需要调用 TRTCCloud 的enableCustomVideoCapture
接口开启 TRTC SDK 自定义视频采集的功能,开启后会跳过 TRTC SDK 自己的摄像头采集和图像处理逻辑,仅保留编码和传输能力,示例代码如下:Android iOS&Mac Windows
TRTCCloud mTRTCCloud = TRTCCloud.shareInstance();mTRTCCloud.enableCustomVideoCapture(TRTCCloudDef.TRTC_VIDEO_STREAM_TYPE_BIG, true);
self.trtcCloud = [TRTCCloud sharedInstance];[self.trtcCloud enableCustomVideoCapture:TRTCVideoStreamTypeBig enable:YES];
liteav::ITRTCCloud* trtc_cloud = liteav::ITRTCCloud::getTRTCShareInstance();trtc_cloud->enableCustomVideoCapture(TRTCVideoStreamType::TRTCVideoStreamTypeBig, true);
发送自定义视频帧
然后您就可以使用 TRTCCloud 的sendCustomVideoData
接口向 TRTC SDK 发送您自己的视频数据,示例代码如下:说明为了避免不必要的性能损失,对于输入 TRTC SDK 的视频数据,在不同平台上有不同的格式要求,更多信息,详见我们的 API 文档:sendCustomVideoData。Android iOS&Mac Windows
// Android 平台有 Buffer 和 Texture 两种方案,此处以 Texture 方案为例,推荐!TRTCCloudDef.TRTCVideoFrame videoFrame = new TRTCCloudDef.TRTCVideoFrame();videoFrame.texture = new TRTCCloudDef.TRTCTexture();videoFrame.texture.textureId = textureId;videoFrame.texture.eglContext14 = eglContext;videoFrame.width = width;videoFrame.height = height;videoFrame.timestamp = timestamp;videoFrame.pixelFormat = TRTCCloudDef.TRTC_VIDEO_PIXEL_FORMAT_Texture_2D;videoFrame.bufferType = TRTCCloudDef.TRTC_VIDEO_BUFFER_TYPE_TEXTURE;mTRTCCloud.sendCustomVideoData(TRTCCloudDef.TRTC_VIDEO_STREAM_TYPE_BIG, videoFrame);
// 在 iOS/Mac 平台上,摄像头原生采集的视频格式即是 NV12,原生支持且性能最佳的视频帧格式是CVPixelBufferRef,同时支持I420、OpenGL 2D纹理格式。此处以CVPixelBufferRef为例,推荐!TRTCVideoFrame *videoFrame = [[TRTCVideoFrame alloc] init];videoFrame.pixelFormat = TRTCVideoPixelFormat_NV12;videoFrame.bufferType = TRTCVideoBufferType_PixelBuffer;videoFrame.pixelBuffer = imageBuffer;videoFrame.timestamp = timeStamp;
[[TRTCCloud sharedInstance] sendCustomVideoData:TRTCVideoStreamTypeBig frame:videoFrame];
// Windows 平台目前只支持 Buffer 的方案,推荐以此方式实现功能。liteav::TRTCVideoFrame frame;frame.timestamp = getTRTCShareInstance()->generateCustomPTS();frame.videoFormat = liteav::TRTCVideoPixelFormat_I420;frame.bufferType = liteav::TRTCVideoBufferType_Buffer;frame.length = buffer_size;frame.data = array.data();frame.width = YUV_WIDTH;frame.height = YUV_HEIGHT;getTRTCShareInstance()->sendCustomVideoData(&frame);
自定义视频渲染
自定义渲染主要分为:本地预览画面的渲染、和远端用户画面的渲染,基本原理:设置本地/远端的自定义渲染回调,然后 TRTC SDK 会通过回调函数onRenderVideoFrame
中传递出来对应的视频帧(即TRTCVideoFrame),然后就开发者可以根据收到的视频帧进行自定义渲染了,这个流程需要具备一定的OpenGL 基础,我们也提供有对应平台的API-Example:AndroidiOSWindows
设置本地预览画面的渲染回调
Android iOS&MacWindows
mTRTCCloud.setLocalVideoRenderListener(TRTCCloudDef.TRTC_VIDEO_PIXEL_FORMAT_Texture_2D, TRTCCloudDef.TRTC_VIDEO_BUFFER_TYPE_TEXTURE, new TRTCCloudListener.TRTCVideoRenderListener() { @Override public void onRenderVideoFrame(String suserId int streamType, TRTCCloudDef.TRTCVideoFrame frame) { // 详见TRTC-API-Example 中自定义渲染的工具类:com.tencent.trtc.mediashare.helper.CustomFrameRender }});
self.trtcCloud = [TRTCCloud sharedInstance];[self.trtcCloud setLocalVideoRenderDelegate:self pixelFormat:TRTCVideoPixelFormat_NV12 bufferType:TRTCVideoBufferType_PixelBuffer];
// 具体实现请参考 TRTC-API-Example-Qt 中 test_custom_render.cpp 的实现。void TestCustomRender::onRenderVideoFrame( const char* userId, liteav::TRTCVideoStreamType streamType, liteav::TRTCVideoFrame* frame) { if (gl_yuv_widget_ == nullptr) { return; }
if (streamType == liteav::TRTCVideoStreamType::TRTCVideoStreamTypeBig) { // 调整渲染窗口 emit renderViewSize(frame->width, frame->height); // 绘制视频帧 gl_yuv_widget_->slotShowYuv(reinterpret_cast(frame->data), frame->width, frame->height); }}
设置远端用户画面的渲染回调
Android iOS&MacWindows
mTRTCCloud.setRemoteVideoRenderListener(userId, TRTCCloudDef.TRTC_VIDEO_PIXEL_FORMAT_I420, TRTCCloudDef.TRTC_VIDEO_BUFFER_TYPE_BYTE_ARRAY, new TRTCCloudListener.TRTCVideoRenderListener() { @Override public void onRenderVideoFrame(String userId, int streamType, TRTCCloudDef.TRTCVideoFrame frame) { // 详见TRTC-API-Example 中自定义渲染的工具类:com.tencent.trtc.mediashare.helper.CustomFrameRender }});
- (void)onRenderVideoFrame:(TRTCVideoFrame *)frame userId:(NSString *)userId streamType:(TRTCVideoStreamType)streamType{ //userId是nil时为本地画面,否则为远端画面 CFRetain(frame.pixelBuffer); __weak __typeof(self) weakSelf = self; dispatch_async(dispatch_get_main_queue(), ^{ TestRenderVideoFrame *strongSelf = weakSelf; UIImageView* videoView = nil; if (userId) { videoView = [strongSelf.userVideoViews objectForKey:userId]; } else { videoView = strongSelf.localVideoView; } videoView.image = [UIImage imageWithCIImage:[CIImage imageWithCVImageBuffer:frame.pixelBuffer]]; videoView.contentMode = UIViewContentModeScaleAspectFit; CFRelease(frame.pixelBuffer); });}
// 具体实现请参考 TRTC-API-Example-Qt 中 test_custom_render.cpp 的实现。void TestCustomRender::onRenderVideoFrame( const char* userId, liteav::TRTCVideoStreamType streamType, liteav::TRTCVideoFrame* frame) { if (gl_yuv_widget_ == nullptr) { return; }
if (streamType == liteav::TRTCVideoStreamType::TRTCVideoStreamTypeBig) { // 调整渲染窗口 emit renderViewSize(frame->width, frame->height); // 绘制视频帧 gl_yuv_widget_->slotShowYuv(reinterpret_cast(frame->data), frame->width, frame->height); }}
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