For AI agents: see the complete documentation index at /llms.txt.
Custom video source
Updated
Integrate a custom video or audio capture into your client
Custom video capture refers to the collection of a video stream from a custom source. Unlike the default video capture method, custom video capture enables you to control the capture source, and precisely adjust video attributes. You can dynamically adjust parameters such as video quality, resolution, and frame rate to adapt to various application use-cases. For example, you can capture video from high-definition cameras, and drone cameras.
Agora recommends default video capture for its stability, reliability, and ease of integration. Custom video capture offers flexibility and customization for specific video capture use-cases where default video capture does not fulfill your requirements.
Understand the tech
Video SDK provides a custom video track method for video self-collection. You can create and publish custom video tracks to one or more channels. You use the self-capture module to drive the capture device, and send the captured video frames to the SDK through the video track.
The following figure illustrates the video data transmission process when custom video capture is implemented:
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to implement custom video capture and custom video rendering in your app.
Custom video capture
The following figure shows the workflow you implement to capture and stream a custom video source in your app.
Custom video capture
Take the following steps to implement this workflow:
- Create a custom video track
To create a custom video track and obtain the video track ID, call createCustomVideoTrack after initializing an instance of RtcEngine. To create multiple custom video tracks, call the method multiple times.
int videoTrackId = RtcEngine.createCustomVideoTrack();val videoTrackId = RtcEngine.createCustomVideoTrack()- Join a channel and publish the custom video track
// Create a ChannelMediaOptions instance
ChannelMediaOptions option = new ChannelMediaOptions();
// Set the client role to BROADCASTER
option.clientRoleType = Constants.CLIENT_ROLE_BROADCASTER;
// Enable auto subscription of audio and video
option.autoSubscribeAudio = true;
option.autoSubscribeVideo = true;
// Publish self-captured video stream
option.publishCustomVideoTrack = true;
// Set custom video track ID
option.customVideoTrackId = videoTrackId;
// Join a channel with the specified options
int res = engine.joinChannel(accessToken, channelId, 0, option);// Create a ChannelMediaOptions instance
val option = ChannelMediaOptions().apply {
// Set the client role to BROADCASTER
clientRoleType = Constants.CLIENT_ROLE_BROADCASTER
// Enable auto subscription of audio and video
autoSubscribeAudio = true
autoSubscribeVideo = true
// Publish self-captured video stream
publishCustomVideoTrack = true
// Set custom video track ID
customVideoTrackId = videoTrackId
}
// Join a channel with the specified options
val res = engine.joinChannel(accessToken, channelId, 0, option)- Implement your self-capture module
Agora provides the VideoFileReader demo project that shows you how to read YUV format video data from a local file. In a production environment, create a custom video module for your device using Video SDK based on your business requirements.
- Push video data to the SDK
Before sending captured video frames to Video SDK, integrate your video module with the VideoFrame. To ensure audio-video synchronization, best practice is to obtain the current monotonic time from Video SDK and pass it as the timestamp parameter in the VideoFrame.
To ensure audio-video synchronization, set the timestamp parameter of VideoFrame to the system's Monotonic Time. Use getCurrentMonotonicTimeInMs to obtain the current monotonic Time.
Call pushExternalVideoFrameById [2/2] to push the captured video frames through the video track to Video SDK. Ensure that the videoTrackId matches the track ID you specified when joining the channel. Customize parameters like pixel format, data type, and timestamp in the VideoFrame.
The following code samples demonstrate pushing I420, NV21, NV12, and Texture format video data:
I420
private void pushVideoFrameByI420(int trackId, byte[] yuv, int width, int height) {
// Create an i420Buffer object and store the original YUV data in the buffer
JavaI420Buffer i420Buffer = JavaI420Buffer.allocate(width, height);
i420Buffer.getDataY().put(yuv, 0, i420Buffer.getDataY().limit());
i420Buffer.getDataU().put(yuv, i420Buffer.getDataY().limit(), i420Buffer.getDataU().limit());
i420Buffer.getDataV().put(yuv, i420Buffer.getDataY().limit() + i420Buffer.getDataU().limit(), i420Buffer.getDataV().limit());
// Get the current monotonic time from the SDK
long currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs();
// Create a VideoFrame object, passing the I420 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
VideoFrame videoFrame = new VideoFrame(i420Buffer, 0, currentMonotonicTimeInMs * 1000000);
// Push the video frame to the SDK through the video track
int ret = engine.pushExternalVideoFrameById(videoFrame, trackId);
// Release the memory resources occupied by the i420Buffer object
i420Buffer.release();
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error");
}
}private fun pushVideoFrameByI420(trackId: Int, yuv: ByteArray, width: Int, height: Int) {
// Create an i420Buffer object and store the original YUV data in the buffer
val i420Buffer = JavaI420Buffer.allocate(width, height)
i420Buffer.getDataY().put(yuv, 0, i420Buffer.getDataY().limit())
i420Buffer.getDataU().put(yuv, i420Buffer.getDataY().limit(), i420Buffer.getDataU().limit())
i420Buffer.getDataV().put(yuv, i420Buffer.getDataY().limit() + i420Buffer.getDataU().limit(), i420Buffer.getDataV().limit())
// Get the current monotonic time from the SDK
val currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs()
// Create a VideoFrame object, passing the I420 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
val videoFrame = VideoFrame(i420Buffer, 0, currentMonotonicTimeInMs * 1_000_000)
// Push the video frame to the SDK through the video track
val ret = engine.pushExternalVideoFrameById(videoFrame, trackId)
// Release the memory resources occupied by the i420Buffer object
i420Buffer.release()
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error")
}
}NV21
private void pushVideoFrameByNV21(int trackId, byte[] nv21, int width, height) {
// Create a frameBuffer object and store the original YUV data in the NV21 format buffer
VideoFrame.Buffer frameBuffer = new NV21Buffer(nv21, width, height, null);
// Get the current monotonic time from the SDK
long currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs();
// Create a VideoFrame object, pass the NV21 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
VideoFrame videoFrame = new VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1000000);
// Push the video frame to the SDK through the video track
int ret = engine.pushExternalVideoFrameById(videoFrame, trackId);
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error");
}
}private fun pushVideoFrameByNV21(trackId: Int, nv21: ByteArray, width: Int, height: Int) {
// Create a frameBuffer object and store the original YUV data in the NV21 format buffer
val frameBuffer: VideoFrame.Buffer = NV21Buffer(nv21, width, height, null)
// Get the current monotonic time from the SDK
val currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs()
// Create a VideoFrame object, pass the NV21 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
val videoFrame = VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1_000_000)
// Push the video frame to the SDK through the video track
val ret = engine.pushExternalVideoFrameById(videoFrame, trackId)
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error")
}
}NV12
private void pushVideoFrameByNV12(int trackId, ByteBuffer nv12, int width, int height) {
// Create a frameBuffer object and store the original YUV data in the NV12 format buffer
VideoFrame.Buffer frameBuffer = new NV12Buffer(width, height, width, height, nv12, null);
// Get the current monotonic time from the SDK
long currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs();
// Create a VideoFrame object, pass the NV12 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
VideoFrame videoFrame = new VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1000000);
// Push the video frame to the SDK through the video track
int ret = engine.pushExternalVideoFrameById(videoFrame, trackId);
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error");
}
}private fun pushVideoFrameByNV12(trackId: Int, nv12: ByteBuffer, width: Int, height: Int) {
// Create a frameBuffer object and store the original YUV data in the NV12 format buffer
val frameBuffer: VideoFrame.Buffer = NV12Buffer(width, height, width, height, nv12, null)
// Get the current monotonic time from the SDK
val currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs()
// Create a VideoFrame object, pass the NV12 video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
val videoFrame = VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1_000_000)
// Push the video frame to the SDK through the video track
val ret = engine.pushExternalVideoFrameById(videoFrame, trackId)
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error")
}
}Texture
private void pushVideoFrameByTexture(int trackId, int textureId, VideoFrame.TextureBuffer.Type textureType, int width, int height) {
// Create a frameBuffer object to store the texture format video frame
VideoFrame.Buffer frameBuffer = new TextureBuffer(
EglBaseProvider.getCurrentEglContext(),
width,
height,
textureType,
textureId,
new Matrix(),
null,
null,
null
);
// Get the current monotonic time from the SDK
long currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs();
// Create a VideoFrame object, passing the texture video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
VideoFrame videoFrame = new VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1000000);
// Push the video frame to the SDK through the video track
int ret = engine.pushExternalVideoFrameById(videoFrame, trackId);
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error");
}
}private fun pushVideoFrameByTexture(
trackId: Int,
textureId: Int,
textureType: VideoFrame.TextureBuffer.Type,
width: Int,
height: Int
) {
// Create a frameBuffer object to store the texture format video frame
val frameBuffer: VideoFrame.Buffer = TextureBuffer(
EglBaseProvider.getCurrentEglContext(),
width,
height,
textureType,
textureId,
Matrix(),
null,
null,
null
)
// Get the current monotonic time from the SDK
val currentMonotonicTimeInMs = engine.getCurrentMonotonicTimeInMs()
// Create a VideoFrame object, passing the texture video frame to be pushed and the monotonic time of the video frame (in nanoseconds)
val videoFrame = VideoFrame(frameBuffer, 0, currentMonotonicTimeInMs * 1_000_000)
// Push the video frame to the SDK through the video track
val ret = engine.pushExternalVideoFrameById(videoFrame, trackId)
if (ret != Constants.ERR_OK) {
Log.w(TAG, "pushExternalVideoFrame error")
}
}If the captured custom video format is Texture and remote users experience flickering or distortion in the captured video, it is recommended to first duplicate the video data and then send both the original and duplicated video data back to the Video SDK. This helps eliminate anomalies during internal data encoding processes.
- Destroy custom video tracks
To stop custom video capture and destroy the video track, call destroyCustomVideoTrack.
// Destroy custom video track
engine.destroyCustomVideoTrack(videoTrack);
// Leave the channel
engine.leaveChannelEx(connection);// Destroy custom video track
engine.destroyCustomVideoTrack(videoTrack)
// Leave the channel
engine.leaveChannelEx(connection)Custom video rendering
To implement custom video rendering in your app, refer to the following steps:
- Set up
onCaptureVideoFrameoronRenderVideoFramecallback to obtain the video data to be played. - Implement video rendering and playback yourself.
Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
Applicable use-cases
Use custom video capture in the following industries and use-cases:
Specialized video processing and enhancement
In specific gaming or virtual reality use-cases, real-time effects processing, filter handling, or other enhancement effects necessitate direct access to the original video stream. Custom video capture facilitates this, enabling seamless real-time processing and enhances the overall gaming or virtual reality experience for a more realistic outcome.
High-precision video capture
In video surveillance applications, detailed observation and analysis of scene details is necessary. Custom video capture enables higher image quality and finer control over capture to meet the requirements of video monitoring.
Capture from specific video sources
Industries such as IoT and live streaming often require the use of specific cameras, monitoring devices, or non-camera video sources, such as video capture cards or screen recording data. In such situations, default Video SDK capture may not meet your requirements, necessitating use of custom video capture.
Seamless integration with specific devices or third-party applications
In smart home or IoT applications, transmitting video from devices to users' smartphones or computers for monitoring and control may require the use of specific devices or applications for video capture. Custom video capture facilitates seamless integration of specific devices or applications with the Video SDK.
Specific video encoding formats
In certain live streaming use-cases, specific video encoding formats may be needed to meet business requirements. In such cases, Video SDK default capture might not suffice, and custom video capture is required to capture and encode videos in specific formats.
Advantages
Using custom video capture offers the following advantages:
More types of video streams
Custom video capture allows the use of higher quality and a greater variety of capture devices and cameras, resulting in clearer and smoother video streams. This enhances the user viewing experience and makes the product more competitive.
More flexible video effects
Custom video capture enables you to implement richer and more personalized video effects and filters, enhancing the user experience. You can implement effects such as beautification filters and dynamic stickers.
Adaptation to diverse use-case requirements
Custom video capture helps applications better adapt to the requirements of various use-cases, such as live streaming, video conferencing, and online education. You can customize different video capture solutions based on the use-case requirements to provide a more robust application.
Sample projects
Agora provides the following open-source sample projects for your reference. Download the project or view the source code for a more detailed example.
- MultiVideoSourceTracks: Video self-capture
- CustomRemoteVideoRender: Custom remote video rendering
API reference
Understand the tech
Video SDK provides a custom video track method for video self-collection. You can create and publish custom video tracks to one or more channels. You use the self-capture module to drive the capture device, and send the captured video frames to the SDK through the video track.
The following figure illustrates the video data transmission process when custom video capture is implemented:
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to implement custom video capture and custom video rendering in your app.
Custom video capture
The figure below shows the workflow you need to implement to stream a custom video source in your app.
Custom video capture
Take the following steps to implement this workflow:
- Create a custom video track
To create a custom video track and obtain the video track ID, call createCustomVideoTrack after initializing an instance of AgoraRtcEngineKit. To create multiple custom video tracks, call the method multiple times.
customCamera?.trackId = agoraKit.createCustomVideoTrack()-
Join a channel and publish the custom video track
// Create an AgoraRtcChannelMediaOptions instance let option = AgoraRtcChannelMediaOptions() // Set the client role to broadcaster option.clientRoleType = .broadcaster // Enable auto subscription for audio and video option.autoSubscribeAudio = true option.autoSubscribeVideo = true // Publish the self-collected video stream option.publishCustomVideoTrack = true // Set the custom video track ID option.customVideoTrackId = Int(customCamera?.trackId ?? 0) // Generate a token for the channel NetworkManager.shared.generateToken(channelName: channel, success: { token in // Join a channel with the specified options let result = self.agoraKit.joinChannel(byToken: token, channelId: channel, uid: 0, mediaOptions: option) if result != 0 { self.isProcessing = false self.showAlert(title: "Error", message: "joinChannel call failed: \(result), please check your params") } }) -
Implement your self-capture module
Agora provides the
CustomVideoSourcePushMulti demo project that shows you how to read YUV format video data from a local file. In a production environment, create a custom video module for your device using Video SDK based on your business requirements.
- Push video data to the SDK
Use pushExternalVideoFrame to send the captured video frame to the SDK through the video track. Ensure that the videoTrackId matches the video track ID specified when joining the channel. In AgoraVideoFrame, you can set the pixel format, data type, timestamp, and other parameters of the video frame.
The following code demonstrates how to push video data in the CVPixelBufferRef format. For other supported video frame formats, refer to the format field in AgoraVideoFrame.
let videoFrame = AgoraVideoFrame()
videoFrame.format = 12
videoFrame.textureBuf = buffer
videoFrame.rotation = Int32(rotation)
agoraKit?.pushExternalVideoFrame(videoFrame, videoTrackId: trackId)To ensure audio and video synchronization, Agora recommends setting the time (timestamp) of AgoraVideoFrame to the system monotonic time. To retrieve the current monotonic time, call getCurrentMonotonicTimeInMs.
If the captured custom video format is Texture and remote users experience flickering or distortion in the captured video, it is recommended to first duplicate the video data and then send both the original and duplicated video data back to the Video SDK. This helps eliminate anomalies during internal data encoding processes.
- Destroy custom video track
To stop publishing the custom video track, call destroyCustomVideoTrack.
// Destroy the custom video track
agoraKit.destroyCustomVideoTrack(UInt(userModel?.trackId ?? 0))
// Leave the channel
agoraKit.leaveChannelEx(connection) { state in
LogUtils.log(message: "warning: \(state.description)", level: .info)
}Custom video rendering
To implement custom video rendering in your app, refer to the following steps:
- Set up
onCaptureVideoFrameoronRenderVideoFramecallback to obtain the video data to be played. - Implement video rendering and playback yourself.
In
renderPixelBufferorrenderRawData, therotationparameter of the video frame may not be 0. You need to set the rotation parameters yourself.
Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
Applicable use-cases
Use custom video capture in the following industries and use-cases:
Specialized video processing and enhancement
In specific gaming or virtual reality use-cases, real-time effects processing, filter handling, or other enhancement effects necessitate direct access to the original video stream. Custom video capture facilitates this, enabling seamless real-time processing and enhances the overall gaming or virtual reality experience for a more realistic outcome.
High-precision video capture
In video surveillance applications, detailed observation and analysis of scene details is necessary. Custom video capture enables higher image quality and finer control over capture to meet the requirements of video monitoring.
Capture from specific video sources
Industries such as IoT and live streaming often require the use of specific cameras, monitoring devices, or non-camera video sources, such as video capture cards or screen recording data. In such situations, default Video SDK capture may not meet your requirements, necessitating use of custom video capture.
Seamless integration with specific devices or third-party applications
In smart home or IoT applications, transmitting video from devices to users' smartphones or computers for monitoring and control may require the use of specific devices or applications for video capture. Custom video capture facilitates seamless integration of specific devices or applications with the Video SDK.
Specific video encoding formats
In certain live streaming use-cases, specific video encoding formats may be needed to meet business requirements. In such cases, Video SDK default capture might not suffice, and custom video capture is required to capture and encode videos in specific formats.
Advantages
Using custom video capture offers the following advantages:
More types of video streams
Custom video capture allows the use of higher quality and a greater variety of capture devices and cameras, resulting in clearer and smoother video streams. This enhances the user viewing experience and makes the product more competitive.
More flexible video effects
Custom video capture enables you to implement richer and more personalized video effects and filters, enhancing the user experience. You can implement effects such as beautification filters and dynamic stickers.
Adaptation to diverse use-case requirements
Custom video capture helps applications better adapt to the requirements of various use-cases, such as live streaming, video conferencing, and online education. You can customize different video capture solutions based on the use-case requirements to provide a more robust application.
Sample projects
Agora provides the following open-source sample projects for your reference. Download the project or view the source code for a more detailed example.
- CustomVideoSourcePush: Video self-capture
- CustomVideoRender: Custom video rendering
- CustomVideoSourcePushMulti.swift: Read YUV format video data from a local file.
API reference
Understand the tech
Video SDK provides a custom video track method for video self-collection. You can create and publish custom video tracks to one or more channels. You use the self-capture module to drive the capture device, and send the captured video frames to the SDK through the video track.
The following figure illustrates the video data transmission process when custom video capture is implemented:
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to implement custom video capture and custom video rendering in your app.
Custom video capture
The figure below shows the workflow you need to implement to stream a custom video source in your app.
Custom video capture
Take the following steps to implement this workflow:
- Create a custom video track
To create a custom video track and obtain the video track ID, call createCustomVideoTrack after initializing an instance of AgoraRtcEngineKit. To create multiple custom video tracks, call the method multiple times.
customCamera?.trackId = agoraKit.createCustomVideoTrack()-
Join a channel and publish the custom video track
// Create an AgoraRtcChannelMediaOptions instance let option = AgoraRtcChannelMediaOptions() // Set the client role to broadcaster option.clientRoleType = .broadcaster // Enable auto subscription for audio and video option.autoSubscribeAudio = true option.autoSubscribeVideo = true // Publish the self-collected video stream option.publishCustomVideoTrack = true // Set the custom video track ID option.customVideoTrackId = Int(customCamera?.trackId ?? 0) // Generate a token for the channel NetworkManager.shared.generateToken(channelName: channel, success: { token in // Join a channel with the specified options let result = self.agoraKit.joinChannel(byToken: token, channelId: channel, uid: 0, mediaOptions: option) if result != 0 { self.isProcessing = false self.showAlert(title: "Error", message: "joinChannel call failed: \(result), please check your params") } }) -
Implement your self-capture module
Agora provides the
CustomVideoSourcePushMulti demo project that shows you how to read YUV format video data from a local file. In a production environment, create a custom video module for your device using Video SDK based on your business requirements.
- Push video data to the SDK
Use pushExternalVideoFrame to send the captured video frame to the SDK through the video track. Ensure that the videoTrackId matches the video track ID specified when joining the channel. In AgoraVideoFrame, you can set the pixel format, data type, timestamp, and other parameters of the video frame.
The following code demonstrates how to push video data in the CVPixelBufferRef format. For other supported video frame formats, refer to the format field in AgoraVideoFrame.
let videoFrame = AgoraVideoFrame()
videoFrame.format = 12
videoFrame.textureBuf = buffer
videoFrame.rotation = Int32(rotation)
agoraKit?.pushExternalVideoFrame(videoFrame, videoTrackId: trackId)To ensure audio and video synchronization, Agora recommends setting the time (timestamp) of AgoraVideoFrame to the system monotonic time. To retrieve the current monotonic time, call getCurrentMonotonicTimeInMs.
If the captured custom video format is Texture and remote users experience flickering or distortion in the captured video, it is recommended to first duplicate the video data and then send both the original and duplicated video data back to the Video SDK. This helps eliminate anomalies during internal data encoding processes.
- Destroy custom video track
To stop publishing the custom video track, call destroyCustomVideoTrack.
// Destroy the custom video track
agoraKit.destroyCustomVideoTrack(UInt(userModel?.trackId ?? 0))
// Leave the channel
agoraKit.leaveChannelEx(connection) { state in
LogUtils.log(message: "warning: \(state.description)", level: .info)
}Custom video rendering
To implement custom video rendering in your app, refer to the following steps:
- Set up
onCaptureVideoFrameoronRenderVideoFramecallback to obtain the video data to be played. - Implement video rendering and playback yourself.
In
renderPixelBufferorrenderRawData, therotationparameter of the video frame may not be 0. You need to set the rotation parameters yourself.
Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
Applicable use-cases
Use custom video capture in the following industries and use-cases:
Specialized video processing and enhancement
In specific gaming or virtual reality use-cases, real-time effects processing, filter handling, or other enhancement effects necessitate direct access to the original video stream. Custom video capture facilitates this, enabling seamless real-time processing and enhances the overall gaming or virtual reality experience for a more realistic outcome.
High-precision video capture
In video surveillance applications, detailed observation and analysis of scene details is necessary. Custom video capture enables higher image quality and finer control over capture to meet the requirements of video monitoring.
Capture from specific video sources
Industries such as IoT and live streaming often require the use of specific cameras, monitoring devices, or non-camera video sources, such as video capture cards or screen recording data. In such situations, default Video SDK capture may not meet your requirements, necessitating use of custom video capture.
Seamless integration with specific devices or third-party applications
In smart home or IoT applications, transmitting video from devices to users' smartphones or computers for monitoring and control may require the use of specific devices or applications for video capture. Custom video capture facilitates seamless integration of specific devices or applications with the Video SDK.
Specific video encoding formats
In certain live streaming use-cases, specific video encoding formats may be needed to meet business requirements. In such cases, Video SDK default capture might not suffice, and custom video capture is required to capture and encode videos in specific formats.
Advantages
Using custom video capture offers the following advantages:
More types of video streams
Custom video capture allows the use of higher quality and a greater variety of capture devices and cameras, resulting in clearer and smoother video streams. This enhances the user viewing experience and makes the product more competitive.
More flexible video effects
Custom video capture enables you to implement richer and more personalized video effects and filters, enhancing the user experience. You can implement effects such as beautification filters and dynamic stickers.
Adaptation to diverse use-case requirements
Custom video capture helps applications better adapt to the requirements of various use-cases, such as live streaming, video conferencing, and online education. You can customize different video capture solutions based on the use-case requirements to provide a more robust application.
Sample projects
Agora provides the following open-source sample projects for your reference. Download the project or view the source code for a more detailed example.
- CustomVideoSourcePush: Video self-capture
- CustomVideoRender: Custom video rendering
API reference
Try out the online demo for Custom video source.
Understand the tech
Video SDK provides support for creating local video tracks by passing in a MediaStreamTrack object to createCustomVideoTrack.
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to create and publish a custom video track from a media streams or a canvas stream.
Create a custom video track a media stream
You can implement custom video capture or preprocessing by obtaining a MediaStreamTrack object. For example, manually call the getUserMedia method to obtain a MediaStreamTrack, then use the createCustomVideoTrack method to create a local video track object for use in Video SDK.
async function createAndPublishCustomVideoTrack() {
try {
// Get the video media stream
const mediaStream = await navigator.mediaDevices.getUserMedia({ video: true, audio: false });
// Extract the video track from the media stream
const videoMediaStreamTrack = mediaStream.getVideoTracks()[0];
// Create a custom video track
const customVideoTrack = await AgoraRTC.createCustomVideoTrack({
mediaStreamTrack: videoMediaStreamTrack,
});
// Store the custom video track for later use in a shared object
rtc.localVideoTrack = customVideoTrack;
// Publish the custom video track to the RTC channel
await rtc.client.publish([rtc.localVideoTrack]);
console.log("Custom video track published successfully!");
} catch (error) {
console.error("Failed to create or publish custom video track:", error);
}
}You can also use HTMLMediaElement.captureStream or HTMLCanvasElement.captureStream to obtain the MediaStreamTrack object.
The MediaStreamTrack object refers to the browser-native MediaStreamTrack API. For details on usage and browser support, see th MediaStreamTrack API documentation.
Create a custom video track from a canvas stream
To create and publish a custom video track generated from a canvas stream, follow these steps:
- Create a canvas element and set its dimensions.
- Continuously draw content on the canvas using
requestAnimationFrameto ensure the stream updates in real time. - Capture a media stream from the canvas.
- Create a custom video track using the canvas stream.
- Publish the custom video track to the channel.
Refer to the following example:
// Function to create and publish a custom video track
async function createAndPublishCustomVideoTrack() {
try {
// Create and draw on the canvas
const canvas = createAndDrawCanvas();
// Get the media stream from the canvas
const canvasStream = canvas.captureStream();
const canvasMediaStreamTrack = canvasStream.getVideoTracks()[0];
// Create a custom video track from the canvas stream
rtc.localVideoTrack = await AgoraRTC.createCustomVideoTrack({
mediaStreamTrack: canvasMediaStreamTrack,
});
// Publish the custom video track to the RTC channel
await rtc.client.publish([rtc.localVideoTrack]);
console.log("Custom video track published successfully!");
} catch (error) {
console.error("Failed to create or publish custom video track:", error);
}
}
// Function to create a canvas and start drawing
function createAndDrawCanvas() {
const canvas = document.createElement("canvas");
canvas.width = 640;
canvas.height = 480;
const context = canvas.getContext("2d");
// Continuously draw on the canvas
function drawCanvas() {
// Clear previous drawings
context.clearRect(0, 0, canvas.width, canvas.height);
context.fillStyle = "blue";
context.fillRect(0, 0, canvas.width, canvas.height);
// Add your code to draw on the canvas
// Keep refreshing the canvas
requestAnimationFrame(drawCanvas);
}
drawCanvas();
return canvas;
}
// Call the function to create and publish the track
createAndPublishCustomVideoTrack();Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
API reference
Understand the tech
Video SDK provides a custom video track method for video self-collection. You can create and publish custom video tracks to one or more channels. You use the self-capture module to drive the capture device, and send the captured video frames to the SDK through the video track.
The following figure illustrates the video data transmission process when custom video capture is implemented:
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to implement custom video capture and custom video rendering in your app.
Custom video capture
The following figure shows the workflow you implement to capture and stream a custom video source in your app.
Custom video capture
Take the following steps to implement this workflow:
- Create a custom video track
To create a custom video track and obtain the video track ID, call createCustomVideoTrack after initializing an instance of IRtcEngine. To create multiple custom video tracks, call the method multiple times.
// For creating multiple custom video tracks, call createCustomVideoTrack multiple times
int videoTrackId = m_rtcEngine->createCustomVideoTrack();
m_trackVideoTrackIds[trackIndex] = videoTrackId;-
Join a channel and publish the custom video track
// Create a ChannelMediaOptions instance ChannelMediaOptions mediaOptions; // Set the client role to broadcaster mediaOptions.clientRoleType = CLIENT_ROLE_BROADCASTER; // Publish the self-captured video stream mediaOptions.publishCustomVideoTrack = true; // Disable auto subscription for video and audio mediaOptions.autoSubscribeVideo = false; mediaOptions.autoSubscribeAudio = false; // Set the custom video track ID mediaOptions.customVideoTrackId = videoTrackId; // Join the channel with the specified options int ret = m_rtcEngine->joinChannel(APP_TOKEN, szChannelId.data(), 0, mediaOptions); -
Implement self-capture module
Agora provides the YUVReader.cpp and YUVReader.h demo projects that show you how to read YUV format video data from a local file. In a production environment, create a custom video module for your device using Video SDK based on your business requirements.
// Use the custom YUVReader class to continuously read YUV-format video data in the YUVReader thread and pass the data to the OnYUVRead callback for further processing
m_yuvReaderHandlers[trackIndex].Setup(m_rtcEngine, m_mediaEngine.get(), videoTrackId);
m_yuvReaders[trackIndex].start(std::bind(&MultiVideoSourceTracksYUVReaderHander::OnYUVRead, m_yuvReaderHandlers[trackIndex], std::placeholders::_1, std::placeholders::_2, std::placeholders::_3, std::placeholders::_4));- Push video data to the SDK
Call pushVideoFrame to push the captured video frames through the video track to Video SDK. Ensure that the videoTrackId matches the track ID you specified when joining the channel. Customize parameters like pixel format, data type, and timestamp in the VideoFrame.
To ensure audio-video synchronization, set the timestamp parameter of VideoFrame to the system's Monotonic Time. Use getCurrentMonotonicTimeInMs to obtain the current Monotonic Time.
void MultiVideoSourceTracksYUVReaderHander::OnYUVRead(int width, int height,
unsigned char* buffer,
int size) {
if (m_mediaEngine == nullptr || m_rtcEngine == nullptr) {
return;
}
// Set the video pixel format to I420
m_videoFrame.format = agora::media::base::VIDEO_PIXEL_I420;
// Set the video data type to raw data
m_videoFrame.type = agora::media::base::ExternalVideoFrame::
VIDEO_BUFFER_TYPE::VIDEO_BUFFER_RAW_DATA;
// Pass the width, height, and buffer of the captured YUV video data to videoFrame
m_videoFrame.height = height;
m_videoFrame.stride = width;
m_videoFrame.buffer = buffer;
// Get the current Monotonic Time from the SDK and assign it to the timestamp parameter of videoFrame
m_videoFrame.timestamp = m_rtcEngine->getCurrentMonotonicTimeInMs();
// Push the video frame to the SDK
m_mediaEngine->pushVideoFrame(&m_videoFrame, m_videoTrackId);
}The sample code demonstrates converting YUV format to raw video data in I420 format. Agora video self-capture supports pushing external video frames in other formats; refer to VIDEO_PIXEL_FORMAT.
If the captured custom video format is Texture and remote users experience flickering or distortion in the captured video, it is recommended to first duplicate the video data and then send both the original and duplicated video data back to the Video SDK. This helps eliminate anomalies during internal data encoding processes.
- Destroy custom video tracks
To stop custom video capture and destroy the video track, call destroyCustomVideoTrack. To destroy multiple video tracks, call the method for each track.
// Stop self-captured video data
m_yuvReaders[trackIndex].stop();
m_yuvReaderHandlers[trackIndex].Release();
// Destroy the custom video track
m_rtcEngine->destroyCustomVideoTrack(m_trackVideoTrackIds[trackIndex]);
// Leave the channel
m_rtcEngine->leaveChannelEx(m_trackConnections[trackIndex]);Custom video rendering
To implement custom video rendering in your app, refer to the following steps:
- Set up
onCaptureVideoFrameoronRenderVideoFramecallback to obtain the video data to be played. - Implement video rendering and playback yourself.
Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
Applicable use-cases
Use custom video capture in the following industries and use-cases:
Specialized video processing and enhancement
In specific gaming or virtual reality use-cases, real-time effects processing, filter handling, or other enhancement effects necessitate direct access to the original video stream. Custom video capture facilitates this, enabling seamless real-time processing and enhances the overall gaming or virtual reality experience for a more realistic outcome.
High-precision video capture
In video surveillance applications, detailed observation and analysis of scene details is necessary. Custom video capture enables higher image quality and finer control over capture to meet the requirements of video monitoring.
Capture from specific video sources
Industries such as IoT and live streaming often require the use of specific cameras, monitoring devices, or non-camera video sources, such as video capture cards or screen recording data. In such situations, default Video SDK capture may not meet your requirements, necessitating use of custom video capture.
Seamless integration with specific devices or third-party applications
In smart home or IoT applications, transmitting video from devices to users' smartphones or computers for monitoring and control may require the use of specific devices or applications for video capture. Custom video capture facilitates seamless integration of specific devices or applications with the Video SDK.
Specific video encoding formats
In certain live streaming use-cases, specific video encoding formats may be needed to meet business requirements. In such cases, Video SDK default capture might not suffice, and custom video capture is required to capture and encode videos in specific formats.
Advantages
Using custom video capture offers the following advantages:
More types of video streams
Custom video capture allows the use of higher quality and a greater variety of capture devices and cameras, resulting in clearer and smoother video streams. This enhances the user viewing experience and makes the product more competitive.
More flexible video effects
Custom video capture enables you to implement richer and more personalized video effects and filters, enhancing the user experience. You can implement effects such as beautification filters and dynamic stickers.
Adaptation to diverse use-case requirements
Custom video capture helps applications better adapt to the requirements of various use-cases, such as live streaming, video conferencing, and online education. You can customize different video capture solutions based on the use-case requirements to provide a more robust application.
Sample project
Agora provides the following open-source sample projects for your reference. Download the project or view the source code for a more detailed example.
- MultiVideoSourceTracks: Video self-capture
- CustomVideoCapture: Custom video rendering
API reference
Understand the tech
Video SDK provides a custom video track method for video self-collection. You can create and publish custom video tracks to one or more channels. You use the self-capture module to drive the capture device, and send the captured video frames to the SDK through the video track.
The following figure illustrates the video data transmission process when custom video capture is implemented:
Prerequisites
Ensure that you have implemented the SDK quickstart in your project.
Implement the logic
This section shows you how to implement custom video capture and custom video rendering in your game.
Initialize MediaEngine
Before implementing custom video features, obtain the MediaEngine interface from the initialized RtcEngine:
void InitAgoraEngine(FString APP_ID, FString TOKEN, FString CHANNEL_NAME)
{
// Initialize RtcEngine context and event handler
agora::rtc::RtcEngineContext RtcEngineContext;
UserRtcEventHandler = MakeShared<FUserRtcEventHandler>(this);
std::string StdStrAppId = TCHAR_TO_UTF8(*APP_ID);
RtcEngineContext.appId = StdStrAppId.c_str();
RtcEngineContext.eventHandler = UserRtcEventHandler.Get();
RtcEngineContext.channelProfile = agora::CHANNEL_PROFILE_TYPE::CHANNEL_PROFILE_LIVE_BROADCASTING;
// Initialize the RtcEngine
int ret = AgoraUERtcEngine::Get()->initialize(RtcEngineContext);
// Query for the MediaEngine interface
int ret = AgoraUERtcEngine::Get()->queryInterface(INTERFACE_ID_TYPE::AGORA_IID_MEDIA_ENGINE, (void**)&MediaEngineManager);
}The MediaEngine is not created directly. Instead, it's obtained as an interface from the initialized RtcEngine using the queryInterface method with AGORA_IID_MEDIA_ENGINE.
Custom video capture
The following figure shows the workflow you implement to capture and stream a custom video source in your game.
Custom video capture
Take the following steps to implement this workflow:
- Set up the external video source
To use custom video frames instead of the camera feed, configure the SDK to accept external video data.
The following code enables the external video source mode and specifies the type as VIDEO_FRAME, indicating you will push raw pixel data to the SDK.
void SetExternalVideoSource()
{
agora::rtc::SenderOptions sendoptions;
int ret = MediaEngineManager->setExternalVideoSource(true, false, agora::media::EXTERNAL_VIDEO_SOURCE_TYPE::VIDEO_FRAME, sendoptions);
UBFL_Logger::Print(FString::Printf(TEXT("%s setExternalVideoSource ret %d"), *FString(FUNCTION_MACRO), ret), LogMsgViewPtr);
}- Join a channel
Enable audio and video, set the client role, and join the channel.
void JoinChannel()
{
AgoraUERtcEngine::Get()->enableAudio();
AgoraUERtcEngine::Get()->enableVideo();
AgoraUERtcEngine::Get()->setClientRole(CLIENT_ROLE_BROADCASTER);
int ret = AgoraUERtcEngine::Get()->joinChannel(TCHAR_TO_UTF8(*Token), TCHAR_TO_UTF8(*ChannelName), "", 0);
}- Implement custom video capture
Set up a callback to capture frames from Unreal Engine's rendering pipeline. Register for the back buffer ready event to capture rendered frames.
void InitAgoraWidget(FString APP_ID, FString TOKEN, FString CHANNEL_NAME)
{
// ... other initialization code ...
// Register for back buffer ready callback
if (FSlateApplication::IsInitialized())
{
eventId = FSlateApplication::Get().GetRenderer()->OnBackBufferReadyToPresent().AddUObject(this, &UCustomCaptureVideoScene::OnBackBufferReady_RenderThread);
}
}- Push video frames
Capture frames from Unreal Engine's rendering pipeline on the render thread, convert them to raw BGRA pixel format, and send them to the Agora SDK as external video frames.
Timestamp Sync
To synchronize audio and video streams, use system timestamp for the timestamp field in the ExternalVideoFrame.
void OnBackBufferReady_RenderThread(SWindow& window, const FTexture2DRHIRef& BackBuffer)
{
FRHICommandListImmediate& RHICmdList = FRHICommandListExecutor::GetImmediateCommandList();
auto width = BackBuffer->GetSizeX();
auto height = BackBuffer->GetSizeY();
FIntRect Rect(0, 0, BackBuffer->GetSizeX(), BackBuffer->GetSizeY());
TArray<FColor> Data;
RHICmdList.ReadSurfaceData(BackBuffer, Rect, Data, FReadSurfaceDataFlags());
if (UserExternalVideoFrame == nullptr)
{
UserExternalVideoFrame = new agora::media::base::ExternalVideoFrame();
}
// Configure the video frame
UserExternalVideoFrame->type = agora::media::base::ExternalVideoFrame::VIDEO_BUFFER_TYPE::VIDEO_BUFFER_RAW_DATA;
UserExternalVideoFrame->format = agora::media::base::VIDEO_PIXEL_FORMAT::VIDEO_PIXEL_BGRA;
UserExternalVideoFrame->stride = BackBuffer->GetSizeX();
UserExternalVideoFrame->height = BackBuffer->GetSizeY();
UserExternalVideoFrame->cropLeft = 10;
UserExternalVideoFrame->cropTop = 10;
UserExternalVideoFrame->cropRight = 10;
UserExternalVideoFrame->cropBottom = 10;
UserExternalVideoFrame->rotation = 0;
UserExternalVideoFrame->timestamp = getTimeStamp();
if (UserExternalVideoFrame->buffer == nullptr)
{
UserExternalVideoFrame->buffer = (uint8*)FMemory::Malloc(BackBuffer->GetSizeX() * BackBuffer->GetSizeY() * 4);
}
if (Data.Num() > 4)
{
FMemory::Memcpy(UserExternalVideoFrame->buffer, Data.GetData(), BackBuffer->GetSizeX() * BackBuffer->GetSizeY() * 4);
if (MediaEngineManager != nullptr)
{
// Push the video frame to the SDK
MediaEngineManager->pushVideoFrame(UserExternalVideoFrame);
}
}
}
std::time_t getTimeStamp()
{
std::chrono::time_point<std::chrono::system_clock, std::chrono::milliseconds> tp =
std::chrono::time_point_cast<std::chrono::milliseconds>(std::chrono::system_clock::now());
std::time_t timestamp = tp.time_since_epoch().count();
return timestamp;
}The sample code demonstrates converting Unreal's BGRA format to raw video data. Agora video capture supports pushing external video frames in other formats; refer to VIDEO_PIXEL_FORMAT.
- Cleanup
When finished unregister the callback and clean up resources.
void NativeDestruct()
{
Super::NativeDestruct();
// Remove the back buffer callback
FSlateApplication::Get().GetRenderer()->OnBackBufferReadyToPresent().Remove(eventId);
UnInitAgoraEngine();
}
void UnInitAgoraEngine()
{
if (AgoraUERtcEngine::Get() != nullptr)
{
AgoraUERtcEngine::Get()->leaveChannel();
AgoraUERtcEngine::Get()->unregisterEventHandler(UserRtcEventHandler.Get());
AgoraUERtcEngine::Release();
MediaEngineManager = nullptr;
}
}Custom video rendering
To implement custom video rendering in your game, refer to the following steps:
- Set up
onCaptureVideoFrameoronRenderVideoFramecallback to obtain the video data to be played. - Implement video rendering and playback yourself.
Reference
This section contains content that completes the information on this page, or points you to documentation that explains other aspects to this product.
Applicable use-cases
Use custom video capture in the following industries and use-cases:
Specialized video processing and enhancement
In specific gaming or virtual reality use-cases, real-time effects processing, filter handling, or other enhancement effects necessitate direct access to the original video stream. Custom video capture facilitates this, enabling seamless real-time processing and enhances the overall gaming or virtual reality experience for a more realistic outcome.
High-precision video capture
In video surveillance applications, detailed observation and analysis of scene details is necessary. Custom video capture enables higher image quality and finer control over capture to meet the requirements of video monitoring.
Capture from specific video sources
Industries such as IoT and live streaming often require the use of specific cameras, monitoring devices, or non-camera video sources, such as video capture cards or screen recording data. In such situations, default Video SDK capture may not meet your requirements, necessitating use of custom video capture.
Seamless integration with specific devices or third-party applications
In smart home or IoT applications, transmitting video from devices to users' smartphones or computers for monitoring and control may require the use of specific devices or applications for video capture. Custom video capture facilitates seamless integration of specific devices or applications with the Video SDK.
Specific video encoding formats
In certain live streaming use-cases, specific video encoding formats may be needed to meet business requirements. In such cases, Video SDK default capture might not suffice, and custom video capture is required to capture and encode videos in specific formats.
Advantages
Using custom video capture offers the following advantages:
More types of video streams
Custom video capture allows the use of higher quality and a greater variety of capture devices and cameras, resulting in clearer and smoother video streams. This enhances the user viewing experience and makes the product more competitive.
More flexible video effects
Custom video capture enables you to implement richer and more personalized video effects and filters, enhancing the user experience. You can implement effects such as beautification filters and dynamic stickers.
Adaptation to diverse use-case requirements
Custom video capture helps applications better adapt to the requirements of various use-cases, such as live streaming, video conferencing, and online education. You can customize different video capture solutions based on the use-case requirements to provide a more robust application.
Sample projects
Agora provides a open-source sample project for your reference. Download CustomCaptureVideo or view the source code for a more detailed example.
