添加隐式字幕和翻译版字幕

本页介绍了如何向输出视频添加隐式字幕和翻译版字幕。

字幕是视频中音频的视觉展示。隐式字幕通常采用与音频相同的语言,包括背景声音和讲话人变化。

翻译版字幕通常用于将视频的对话翻译成其他语言。翻译版字幕通常不包括背景音和讲话人变化。

此页面使用输入字幕文件一词指代包含隐式字幕或字幕的文本文件。您将此文件作为作业的输入提供。

将字幕添加到作业配置

如需了解支持的输入字幕文件格式,请参阅支持的输入和输出。我们提供了示例视频文件和示例输入字幕文件供您测试配置。

以下部分中的信息用于向作业配置添加字幕。本页面假定您熟悉基本的 JobConfig。如需详细了解如何创建转码作业,请参阅创建和管理作业。

添加字幕

如需创建将字幕嵌入在输出视频文件容器中的作业,请执行以下操作:

  1. 将 inputs 数组添加到作业配置的开头。

  2. 将 Input 对象添加到 inputs 数组,以定义关联输入视频的键和 URI。

  3. 添加另一个 Input 对象,其中包含输入字幕文件的路径。

  4. 将 editList 数组添加到作业配置。此数组用于将输入添加到输出视频时间轴。

  5. 将 EditAtom 对象添加到 editList 数组。此 EditAtom 对象必须引用您在 inputs 数组中添加的输入视频和字幕的键。您可以指定 startTimeOffset 和 endTimeOffset 来剪辑输入视频。

  6. 通过将 textStream 对象添加到 elementaryStreams 数组,将字幕添加到输出容器。仅支持一个嵌入式文本流,并且它会添加到所有输出视频中(因为只有一个输出时间轴)。

  7. 使用 textStream 配置对象中的 mapping 数组来引用 EditAtom 对象键。

以下示例配置将 CEA-608 隐式字幕嵌入视频中。

您可以将此配置添加到作业模板中,也可以将其添加到临时作业配置中。

REST

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_ID:IAM 设置中列出的 Google Cloud 项目 ID。
  • LOCATION:运行作业的位置。请使用其中一个支持的区域。
    显示位置
    • us-central1
    • us-west1
    • us-west2
    • us-east1
    • us-east4
    • southamerica-east1
    • northamerica-northeast1
    • asia-east1
    • asia-northeast1
    • asia-northeast3
    • asia-south1
    • asia-southeast1
    • australia-southeast1
    • europe-west1
    • europe-west2
    • europe-west4
    • me-west1
    • me-central1
    • me-central2
  • STORAGE_BUCKET_NAME:您创建的 Cloud Storage 存储分区的名称。
  • STORAGE_INPUT_VIDEO:您要对其进行转码的 Cloud Storage 存储桶中的视频的名称,例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/my-vid.mp4)。
  • STORAGE_CAPTIONS_FILE:Cloud Storage 存储分区中的字幕文件的名称,例如 captions.srt。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/captions.srt)。
  • STORAGE_OUTPUT_FOLDER:您要在 Cloud Storage 存储桶中保存已编码视频输出的输出文件夹的名称。

如需发送您的请求,请展开以下选项之一:

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
   ...
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

gcloud

在使用下面的命令数据之前,请先进行以下替换:

  • LOCATION:运行作业的位置。请使用其中一个支持的区域。
    显示位置
    • us-central1
    • us-west1
    • us-west2
    • us-east1
    • us-east4
    • southamerica-east1
    • northamerica-northeast1
    • asia-east1
    • asia-northeast1
    • asia-northeast3
    • asia-south1
    • asia-southeast1
    • australia-southeast1
    • europe-west1
    • europe-west2
    • europe-west4
    • me-west1
    • me-central1
    • me-central2
  • STORAGE_BUCKET_NAME:您创建的 Cloud Storage 存储分区的名称。
  • STORAGE_INPUT_VIDEO:您要对其进行转码的 Cloud Storage 存储桶中的视频的名称,例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/my-vid.mp4)。
  • STORAGE_CAPTIONS_FILE:Cloud Storage 存储分区中的字幕文件的名称,例如 captions.srt。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/captions.srt)。
  • STORAGE_OUTPUT_FOLDER:您要在 Cloud Storage 存储桶中保存已编码视频输出的输出文件夹的名称。

将以下内容保存在名为 request.json 的文件中:

{
  "config": {
    "inputs": [
      {
        "key": "input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
      },
      {
        "key": "caption_input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_CAPTIONS_FILE"
      }
    ],
    "editList": [
      {
        "key": "atom0",
        "inputs": [
          "input0",
          "caption_input0"
        ]
      }
    ],
    "elementaryStreams": [
      {
        "key": "video-stream0",
        "videoStream": {
          "h264": {
            "heightPixels": 360,
            "widthPixels": 640,
            "bitrateBps": 550000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "audio-stream0",
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000
        }
      },
      {
        "key": "cea-stream0",
        "textStream": {
          "codec": "cea608",
          "mapping": [
            {
              "atomKey": "atom0",
              "inputKey": "caption_input0",
              "inputTrack": 0
            }
          ],
          "languageCode": "en-US",
          "displayName": "English"
        }
      }
    ],
    "muxStreams": [
      {
        "key": "sd-hls",
        "container": "ts",
        "elementaryStreams": [
          "video-stream0",
          "audio-stream0"
        ]
      },
      {
        "key": "sd-dash",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream0"
        ]
      },
      {
        "key": "audio-dash",
        "container": "fmp4",
        "elementaryStreams": [
          "audio-stream0"
        ]
      }
    ],
    "manifests": [
      {
        "fileName": "manifest.m3u8",
        "type": "HLS",
        "muxStreams": [
          "sd-hls"
        ]
      },
      {
        "fileName": "manifest.mpd",
        "type": "DASH",
        "muxStreams": [
          "sd-dash",
          "audio-dash"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  }
}

执行以下命令:

Linux、macOS 或 Cloud Shell

gcloud transcoder jobs create --location=LOCATION --file=request.json

Windows (PowerShell)

gcloud transcoder jobs create --location=LOCATION --file=request.json

Windows (cmd.exe)

gcloud transcoder jobs create --location=LOCATION --file=request.json

您应该会收到类似如下所示的响应:

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
   ...
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

Go

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Go 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Go API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// createJobWithEmbeddedCaptions creates a job that embeds closed captions in the
// output video. See https://cloud.google.com/transcoder/docs/how-to/captions-and-subtitles
// for more information.
func createJobWithEmbeddedCaptions(w io.Writer, projectID string, location string, inputVideoURI string, inputCaptionsURI string, outputURI string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputVideoURI := "gs://my-bucket/my-video-file"
	// inputCaptionsURI := "gs://my-bucket/my-captions-file"
	// outputURI := "gs://my-bucket/my-output-folder/"

	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	// Set up elementary streams. The InputKey field refers to inputs in
	// the Inputs array defined the job config.
	elementaryStreams := []*transcoderpb.ElementaryStream{
		{
			Key: "video_stream0",
			ElementaryStream: &transcoderpb.ElementaryStream_VideoStream{
				VideoStream: &transcoderpb.VideoStream{
					CodecSettings: &transcoderpb.VideoStream_H264{
						H264: &transcoderpb.VideoStream_H264CodecSettings{
							BitrateBps:   550000,
							FrameRate:    60,
							HeightPixels: 360,
							WidthPixels:  640,
						},
					},
				},
			},
		},
		{
			Key: "audio_stream0",
			ElementaryStream: &transcoderpb.ElementaryStream_AudioStream{
				AudioStream: &transcoderpb.AudioStream{
					Codec:      "aac",
					BitrateBps: 64000,
				},
			},
		},
		{
			Key: "cea_stream0",
			ElementaryStream: &transcoderpb.ElementaryStream_TextStream{
				TextStream: &transcoderpb.TextStream{
					Codec: "cea608",
					Mapping: []*transcoderpb.TextStream_TextMapping{
						{
							AtomKey:    "atom0",
							InputKey:   "caption_input0",
							InputTrack: 0,
						},
					},
					LanguageCode: "en-US",
					DisplayName:  "English",
				},
			},
		},
	}

	req := &transcoderpb.CreateJobRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		Job: &transcoderpb.Job{
			OutputUri: outputURI,
			JobConfig: &transcoderpb.Job_Config{
				Config: &transcoderpb.JobConfig{
					Inputs: []*transcoderpb.Input{
						{
							Key: "input0",
							Uri: inputVideoURI,
						},
						{
							Key: "caption_input0",
							Uri: inputCaptionsURI,
						},
					},
					EditList: []*transcoderpb.EditAtom{
						{
							Key:    "atom0",
							Inputs: []string{"input0", "caption_input0"},
						},
					},
					ElementaryStreams: elementaryStreams,
					MuxStreams: []*transcoderpb.MuxStream{
						{
							Key:               "sd-hls",
							Container:         "ts",
							ElementaryStreams: []string{"video_stream0", "audio_stream0"},
						},
						{
							Key:               "sd-dash",
							Container:         "fmp4",
							ElementaryStreams: []string{"video_stream0"},
						},
						{
							Key:               "audio-dash",
							Container:         "fmp4",
							ElementaryStreams: []string{"audio_stream0"},
						},
					},
					Manifests: []*transcoderpb.Manifest{
						{
							FileName:   "manifest.m3u8",
							Type:       transcoderpb.Manifest_HLS,
							MuxStreams: []string{"sd-hls"},
						},
						{
							FileName:   "manifest.mpd",
							Type:       transcoderpb.Manifest_DASH,
							MuxStreams: []string{"sd-dash", "audio-dash"},
						},
					},
				},
			},
		},
	}
	// Creates the job. Jobs take a variable amount of time to run.
	// You can query for the job state; see getJob() in get_job.go.
	response, err := client.CreateJob(ctx, req)
	if err != nil {
		return fmt.Errorf("CreateJob: %w", err)
	}

	fmt.Fprintf(w, "Job: %v", response.GetName())
	return nil
}

Java

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Java 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Java API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。


import com.google.cloud.video.transcoder.v1.AudioStream;
import com.google.cloud.video.transcoder.v1.CreateJobRequest;
import com.google.cloud.video.transcoder.v1.EditAtom;
import com.google.cloud.video.transcoder.v1.ElementaryStream;
import com.google.cloud.video.transcoder.v1.Input;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.JobConfig;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.Manifest;
import com.google.cloud.video.transcoder.v1.Manifest.ManifestType;
import com.google.cloud.video.transcoder.v1.MuxStream;
import com.google.cloud.video.transcoder.v1.Output;
import com.google.cloud.video.transcoder.v1.TextStream;
import com.google.cloud.video.transcoder.v1.TextStream.TextMapping;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import com.google.cloud.video.transcoder.v1.VideoStream;
import java.io.IOException;

public class CreateJobWithEmbeddedCaptions {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String inputVideoUri = "gs://my-bucket/my-video-file";
    String inputCaptionsUri = "gs://my-bucket/my-captions-file";
    String outputUri = "gs://my-bucket/my-output-folder/";

    createJobWithEmbeddedCaptions(projectId, location, inputVideoUri, inputCaptionsUri, outputUri);
  }

  // Creates a job from an ad-hoc configuration that embeds captions in the output video.
  public static void createJobWithEmbeddedCaptions(
      String projectId,
      String location,
      String inputVideoUri,
      String inputCaptionsUri,
      String outputUri)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {

      VideoStream videoStream0 =
          VideoStream.newBuilder()
              .setH264(
                  VideoStream.H264CodecSettings.newBuilder()
                      .setBitrateBps(550000)
                      .setFrameRate(60)
                      .setHeightPixels(360)
                      .setWidthPixels(640))
              .build();

      AudioStream audioStream0 =
          AudioStream.newBuilder().setCodec("aac").setBitrateBps(64000).build();

      TextStream textStream0 =
          TextStream.newBuilder()
              .setCodec("cea608")
              .addMapping(
                  0,
                  TextMapping.newBuilder()
                      .setAtomKey("atom0")
                      .setInputKey("caption_input0")
                      .setInputTrack(0)
                      .build())
              .build();

      JobConfig config =
          JobConfig.newBuilder()
              .addInputs(Input.newBuilder().setKey("input0").setUri(inputVideoUri))
              .addInputs(Input.newBuilder().setKey("caption_input0").setUri(inputCaptionsUri))
              .addEditList(
                  0, // Index in the edit list
                  EditAtom.newBuilder()
                      .setKey("atom0")
                      .addInputs("input0")
                      .addInputs("caption_input0")
                      .build())
              .setOutput(Output.newBuilder().setUri(outputUri))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("video_stream0")
                      .setVideoStream(videoStream0))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("audio_stream0")
                      .setAudioStream(audioStream0))
              .addElementaryStreams(
                  ElementaryStream.newBuilder().setKey("cea_stream0").setTextStream(textStream0))
              .addMuxStreams(
                  0,
                  MuxStream.newBuilder()
                      .setKey("sd")
                      .setContainer("mp4")
                      .addElementaryStreams("video_stream0")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .addMuxStreams(
                  1,
                  MuxStream.newBuilder()
                      .setKey("sd_hls")
                      .setContainer("ts")
                      .addElementaryStreams("video_stream0")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .addMuxStreams(
                  2,
                  MuxStream.newBuilder()
                      .setKey("sd_dash")
                      .setContainer("fmp4")
                      .addElementaryStreams("video_stream0")
                      .build())
              .addMuxStreams(
                  3,
                  MuxStream.newBuilder()
                      .setKey("audio_dash")
                      .setContainer("fmp4")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .addManifests(
                  0,
                  Manifest.newBuilder()
                      .setFileName("manifest.m3u8")
                      .setType(ManifestType.HLS)
                      .addMuxStreams("sd_hls")
                      .build())
              .addManifests(
                  1,
                  Manifest.newBuilder()
                      .setFileName("manifest.mpd")
                      .setType(ManifestType.DASH)
                      .addMuxStreams("sd_dash")
                      .addMuxStreams("audio_dash")
                      .build())
              .build();

      CreateJobRequest createJobRequest =
          CreateJobRequest.newBuilder()
              .setJob(Job.newBuilder().setOutputUri(outputUri).setConfig(config).build())
              .setParent(LocationName.of(projectId, location).toString())
              .build();

      // Send the job creation request and process the response.
      Job job = transcoderServiceClient.createJob(createJobRequest);
      System.out.println("Job: " + job.getName());
    }
  }
}

Node.js

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Node.js 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Node.js API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// inputVideoUri = 'gs://my-bucket/my-video-file';
// inputCaptionsUri = 'gs://my-bucket/my-captions-file';
// outputUri = 'gs://my-bucket/my-output-folder/';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function createJobWithEmbeddedCaptions() {
  // Construct request
  const request = {
    parent: transcoderServiceClient.locationPath(projectId, location),
    job: {
      outputUri: outputUri,
      config: {
        inputs: [
          {
            key: 'input0',
            uri: inputVideoUri,
          },
          {
            key: 'caption_input0',
            uri: inputCaptionsUri,
          },
        ],
        editList: [
          {
            key: 'atom0',
            inputs: ['input0', 'caption_input0'],
          },
        ],
        elementaryStreams: [
          {
            key: 'video-stream0',
            videoStream: {
              h264: {
                heightPixels: 360,
                widthPixels: 640,
                bitrateBps: 550000,
                frameRate: 60,
              },
            },
          },
          {
            key: 'audio-stream0',
            audioStream: {
              codec: 'aac',
              bitrateBps: 64000,
            },
          },
          {
            key: 'cea-stream0',
            textStream: {
              codec: 'cea608',
              mapping: [
                {
                  atomKey: 'atom0',
                  inputKey: 'caption_input0',
                  inputTrack: 0,
                },
              ],
              languageCode: 'en-US',
              displayName: 'English',
            },
          },
        ],
        muxStreams: [
          {
            key: 'sd-hls',
            container: 'ts',
            elementaryStreams: ['video-stream0', 'audio-stream0'],
          },
          {
            key: 'sd-dash',
            container: 'fmp4',
            elementaryStreams: ['video-stream0'],
          },
          {
            key: 'audio-dash',
            container: 'fmp4',
            elementaryStreams: ['audio-stream0'],
          },
        ],
        manifests: [
          {
            fileName: 'manifest.m3u8',
            type: 'HLS',
            muxStreams: ['sd-hls'],
          },
          {
            fileName: 'manifest.mpd',
            type: 'DASH',
            muxStreams: ['sd-dash', 'audio-dash'],
          },
        ],
      },
    },
  };

  // Run request
  const [response] = await transcoderServiceClient.createJob(request);
  console.log(`Job: ${response.name}`);
}

createJobWithEmbeddedCaptions();

Python

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Python 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Python API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。


import argparse

from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)


def create_job_with_embedded_captions(
    project_id: str,
    location: str,
    input_video_uri: str,
    input_captions_uri: str,
    output_uri: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job based on an ad-hoc job configuration that embeds closed captions in the output video.

    Args:
        project_id (str): The GCP project ID.
        location (str): The location to start the job in.
        input_video_uri (str): Uri of the input video in the Cloud Storage
          bucket.
        input_captions_uri (str): Uri of the input captions file in the Cloud
          Storage bucket.
        output_uri (str): Uri of the video output folder in the Cloud Storage
          bucket.

    Returns:
        The job resource.
    """

    client = TranscoderServiceClient()

    parent = f"projects/{project_id}/locations/{location}"
    job = transcoder_v1.types.Job()
    job.output_uri = output_uri
    job.config = transcoder_v1.types.JobConfig(
        inputs=[
            transcoder_v1.types.Input(
                key="input0",
                uri=input_video_uri,
            ),
            transcoder_v1.types.Input(
                key="caption-input0",
                uri=input_captions_uri,
            ),
        ],
        edit_list=[
            transcoder_v1.types.EditAtom(
                key="atom0",
                inputs=["input0", "caption-input0"],
            ),
        ],
        elementary_streams=[
            transcoder_v1.types.ElementaryStream(
                key="video-stream0",
                video_stream=transcoder_v1.types.VideoStream(
                    h264=transcoder_v1.types.VideoStream.H264CodecSettings(
                        height_pixels=360,
                        width_pixels=640,
                        bitrate_bps=550000,
                        frame_rate=60,
                    ),
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="audio-stream0",
                audio_stream=transcoder_v1.types.AudioStream(
                    codec="aac",
                    bitrate_bps=64000,
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="cea-stream0",
                text_stream=transcoder_v1.types.TextStream(
                    codec="cea608",
                    mapping_=[
                        transcoder_v1.types.TextStream.TextMapping(
                            atom_key="atom0",
                            input_key="caption-input0",
                            input_track=0,
                        ),
                    ],
                    language_code="en-US",
                    display_name="English",
                ),
            ),
        ],
        mux_streams=[
            transcoder_v1.types.MuxStream(
                key="sd-hls",
                container="ts",
                elementary_streams=["video-stream0", "audio-stream0"],
            ),
            transcoder_v1.types.MuxStream(
                key="sd-dash",
                container="fmp4",
                elementary_streams=["video-stream0"],
            ),
            transcoder_v1.types.MuxStream(
                key="audio-dash",
                container="fmp4",
                elementary_streams=["audio-stream0"],
            ),
        ],
        manifests=[
            transcoder_v1.types.Manifest(
                file_name="manifest.m3u8",
                type_="HLS",
                mux_streams=["sd-hls"],
            ),
            transcoder_v1.types.Manifest(
                file_name="manifest.mpd",
                type_="DASH",
                mux_streams=["sd-dash", "audio-dash"],
            ),
        ],
    )
    response = client.create_job(parent=parent, job=job)
    print(f"Job: {response.name}")
    return response

添加字幕

如需创建可从清单中播放的多语言字幕文件,请执行以下操作:

  1. 将 inputs 数组添加到作业配置。

  2. 将 Input 对象添加到 inputs 数组,以定义关联输入视频的键和 URI。

  3. 添加另一个 Input 对象,用于定义输入字幕文件的 URI。

  4. 将 editList 数组添加到配置。此数组用于将输入添加到输出视频时间轴。

  5. 将 EditAtom 对象添加到 editList 数组,以通过键引用 inputs 数组中的对象。您可以指定 startTimeOffset 和 endTimeOffset 来剪辑输入视频。

  6. 通过将 textStream 对象添加到 elementaryStreams 数组,将字幕添加到输出容器。

  7. 对于独立字幕文件,请在 muxStream 数组中指定容器;请参阅以下配置中键为 text-vtt-en 和 text-vtt-es 的对象。对于嵌入式字幕,您只需要基本流。

以下配置会生成多个 WebVTT 文件,一个用于英语字幕,另一个用于西班牙语字幕。WebVTT 文件中的 DASH 字幕以 fMP4 容器格式创建。

您可以将此配置添加到作业模板中,也可以将其添加到临时作业配置中。

REST

在使用任何请求数据之前,请先进行以下替换:

  • PROJECT_ID:IAM 设置中列出的 Google Cloud 项目 ID。
  • LOCATION:运行作业的位置。请使用其中一个支持的区域。
    显示位置
    • us-central1
    • us-west1
    • us-west2
    • us-east1
    • us-east4
    • southamerica-east1
    • northamerica-northeast1
    • asia-east1
    • asia-northeast1
    • asia-northeast3
    • asia-south1
    • asia-southeast1
    • australia-southeast1
    • europe-west1
    • europe-west2
    • europe-west4
    • me-west1
    • me-central1
    • me-central2
  • STORAGE_BUCKET_NAME:您创建的 Cloud Storage 存储分区的名称。
  • STORAGE_INPUT_VIDEO:您要对其进行转码的 Cloud Storage 存储桶中的视频的名称,例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/my-vid.mp4)。
  • STORAGE_SUBTITLES_FILE1:Cloud Storage 存储桶中的字幕文件的名称,例如 subtitles-en.srt(表示英语字幕)。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/subtitles-en.srt)。
  • STORAGE_SUBTITLES_FILE2:Cloud Storage 存储桶中其他字幕文件的名称,例如 subtitles-es.srt(西班牙语字幕)。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/subtitles-es.srt)。
  • STORAGE_OUTPUT_FOLDER:您要在 Cloud Storage 存储桶中保存已编码视频输出的输出文件夹的名称。

如需发送您的请求,请展开以下选项之一:

您应该收到类似以下内容的 JSON 响应:

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
   ...
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

gcloud

在使用下面的命令数据之前,请先进行以下替换:

  • LOCATION:运行作业的位置。请使用其中一个支持的区域。
    显示位置
    • us-central1
    • us-west1
    • us-west2
    • us-east1
    • us-east4
    • southamerica-east1
    • northamerica-northeast1
    • asia-east1
    • asia-northeast1
    • asia-northeast3
    • asia-south1
    • asia-southeast1
    • australia-southeast1
    • europe-west1
    • europe-west2
    • europe-west4
    • me-west1
    • me-central1
    • me-central2
  • STORAGE_BUCKET_NAME:您创建的 Cloud Storage 存储分区的名称。
  • STORAGE_INPUT_VIDEO:您要对其进行转码的 Cloud Storage 存储桶中的视频的名称,例如 my-vid.mp4。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/my-vid.mp4)。
  • STORAGE_SUBTITLES_FILE1:Cloud Storage 存储桶中的字幕文件的名称,例如 subtitles-en.srt(表示英语字幕)。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/subtitles-en.srt)。
  • STORAGE_SUBTITLES_FILE2:Cloud Storage 存储桶中其他字幕文件的名称,例如 subtitles-es.srt(西班牙语字幕)。此字段应考虑您在存储分区中创建的任何文件夹(例如 input/subtitles-es.srt)。
  • STORAGE_OUTPUT_FOLDER:您要在 Cloud Storage 存储桶中保存已编码视频输出的输出文件夹的名称。

将以下内容保存在名为 request.json 的文件中:

{
  "config": {
    "inputs": [
      {
        "key": "input0",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_INPUT_VIDEO"
      },
      {
        "key": "subtitle_input_en",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_SUBTITLES_FILE1"
      },
      {
        "key": "subtitle_input_es",
        "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_SUBTITLES_FILE2"
      }
    ],
    "editList": [
      {
        "key": "atom0",
        "inputs": [
          "input0",
          "subtitle_input_en",
          "subtitle_input_es"
        ]
      }
    ],
    "elementaryStreams": [
      {
        "key": "video-stream0",
        "videoStream": {
          "h264": {
            "heightPixels": 360,
            "widthPixels": 640,
            "bitrateBps": 550000,
            "frameRate": 60
          }
        }
      },
      {
        "key": "audio-stream0",
        "audioStream": {
          "codec": "aac",
          "bitrateBps": 64000
        }
      },
      {
        "key": "vtt-stream-en",
        "textStream": {
          "codec": "webvtt",
          "languageCode": "en-US",
          "displayName": "English",
          "mapping": [
            {
              "atomKey": "atom0",
              "inputKey": "subtitle_input_en"
            }
          ]
        }
      },
      {
        "key": "vtt-stream-es",
        "textStream": {
          "codec": "webvtt",
          "languageCode": "es-ES",
          "displayName": "Spanish",
          "mapping": [
            {
              "atomKey": "atom0",
              "inputKey": "subtitle_input_es"
            }
          ]
        }
      }
    ],
    "muxStreams": [
      {
        "key": "sd-hls-fmp4",
        "container": "fmp4",
        "elementaryStreams": [
          "video-stream0"
        ]
      },
      {
        "key": "audio-hls-fmp4",
        "container": "fmp4",
        "elementaryStreams": [
          "audio-stream0"
        ]
      },
      {
        "key": "text-vtt-en",
        "container": "vtt",
        "elementaryStreams": [
          "vtt-stream-en"
        ],
        "segmentSettings": {
          "segmentDuration": "6s",
          "individualSegments": true
        }
      },
      {
        "key": "text-vtt-es",
        "container": "vtt",
        "elementaryStreams": [
          "vtt-stream-es"
        ],
        "segmentSettings": {
          "segmentDuration": "6s",
          "individualSegments": true
        }
      }
    ],
    "manifests": [
      {
        "fileName": "manifest.m3u8",
        "type": "HLS",
        "muxStreams": [
          "sd-hls-fmp4",
          "audio-hls-fmp4",
          "text-vtt-en",
          "text-vtt-es"
        ]
      }
    ],
    "output": {
      "uri": "gs://STORAGE_BUCKET_NAME/STORAGE_OUTPUT_FOLDER/"
    }
  }
}

执行以下命令:

Linux、macOS 或 Cloud Shell

gcloud transcoder jobs create --location=LOCATION --file=request.json

Windows (PowerShell)

gcloud transcoder jobs create --location=LOCATION --file=request.json

Windows (cmd.exe)

gcloud transcoder jobs create --location=LOCATION --file=request.json

您应该会收到类似如下所示的响应:

{
  "name": "projects/PROJECT_NUMBER/locations/LOCATION/jobs/JOB_ID",
  "config": {
   ...
  },
  "state": "PENDING",
  "createTime": CREATE_TIME,
  "ttlAfterCompletionDays": 30
}

Go

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Go 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Go API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。

import (
	"context"
	"fmt"
	"io"

	"github.com/golang/protobuf/ptypes/duration"

	transcoder "cloud.google.com/go/video/transcoder/apiv1"
	"cloud.google.com/go/video/transcoder/apiv1/transcoderpb"
)

// createJobWithStandaloneCaptions creates a job that can use subtitles from a
// standalone file. See https://cloud.google.com/transcoder/docs/how-to/captions-and-subtitles
// for more information.
func createJobWithStandaloneCaptions(w io.Writer, projectID string, location string, inputVideoURI string, inputSubtitles1URI string, inputSubtitles2URI string, outputURI string) error {
	// projectID := "my-project-id"
	// location := "us-central1"
	// inputVideoURI := "gs://my-bucket/my-video-file"
	// inputSubtitles1URI := "gs://my-bucket/my-subtitles-file1"
	// inputSubtitles2URI := "gs://my-bucket/my-subtitles-file2"
	// outputURI := "gs://my-bucket/my-output-folder/"

	ctx := context.Background()
	client, err := transcoder.NewClient(ctx)
	if err != nil {
		return fmt.Errorf("NewClient: %w", err)
	}
	defer client.Close()

	// Set up elementary streams. The InputKey field refers to inputs in
	// the Inputs array defined the job config.
	elementaryStreams := []*transcoderpb.ElementaryStream{
		{
			Key: "video_stream0",
			ElementaryStream: &transcoderpb.ElementaryStream_VideoStream{
				VideoStream: &transcoderpb.VideoStream{
					CodecSettings: &transcoderpb.VideoStream_H264{
						H264: &transcoderpb.VideoStream_H264CodecSettings{
							BitrateBps:   550000,
							FrameRate:    60,
							HeightPixels: 360,
							WidthPixels:  640,
						},
					},
				},
			},
		},
		{
			Key: "audio_stream0",
			ElementaryStream: &transcoderpb.ElementaryStream_AudioStream{
				AudioStream: &transcoderpb.AudioStream{
					Codec:      "aac",
					BitrateBps: 64000,
				},
			},
		},
		{
			Key: "vtt_stream_en",
			ElementaryStream: &transcoderpb.ElementaryStream_TextStream{
				TextStream: &transcoderpb.TextStream{
					Codec:        "webvtt",
					LanguageCode: "en-US",
					DisplayName:  "English",
					Mapping: []*transcoderpb.TextStream_TextMapping{
						{
							AtomKey:  "atom0",
							InputKey: "subtitle_input_en",
						},
					},
				},
			},
		},
		{
			Key: "vtt_stream_es",
			ElementaryStream: &transcoderpb.ElementaryStream_TextStream{
				TextStream: &transcoderpb.TextStream{
					Codec:        "webvtt",
					LanguageCode: "es-ES",
					DisplayName:  "Spanish",
					Mapping: []*transcoderpb.TextStream_TextMapping{
						{
							AtomKey:  "atom0",
							InputKey: "subtitle_input_es",
						},
					},
				},
			},
		},
	}

	req := &transcoderpb.CreateJobRequest{
		Parent: fmt.Sprintf("projects/%s/locations/%s", projectID, location),
		Job: &transcoderpb.Job{
			OutputUri: outputURI,
			JobConfig: &transcoderpb.Job_Config{
				Config: &transcoderpb.JobConfig{
					Inputs: []*transcoderpb.Input{
						{
							Key: "input0",
							Uri: inputVideoURI,
						},
						{
							Key: "subtitle_input_en",
							Uri: inputSubtitles1URI,
						},
						{
							Key: "subtitle_input_es",
							Uri: inputSubtitles2URI,
						},
					},
					EditList: []*transcoderpb.EditAtom{
						{
							Key:    "atom0",
							Inputs: []string{"input0", "subtitle_input_en", "subtitle_input_es"},
						},
					},
					ElementaryStreams: elementaryStreams,
					MuxStreams: []*transcoderpb.MuxStream{
						{
							Key:               "sd-hls-fmp4",
							Container:         "fmp4",
							ElementaryStreams: []string{"video_stream0"},
						},
						{
							Key:               "audio-hls-fmp4",
							Container:         "fmp4",
							ElementaryStreams: []string{"audio_stream0"},
						},
						{
							Key:               "text-vtt-en",
							Container:         "vtt",
							ElementaryStreams: []string{"vtt_stream_en"},
							SegmentSettings: &transcoderpb.SegmentSettings{
								SegmentDuration: &duration.Duration{
									Seconds: 6,
								},
								IndividualSegments: true,
							},
						},
						{
							Key:               "text-vtt-es",
							Container:         "vtt",
							ElementaryStreams: []string{"vtt_stream_es"},
							SegmentSettings: &transcoderpb.SegmentSettings{
								SegmentDuration: &duration.Duration{
									Seconds: 6,
								},
								IndividualSegments: true,
							},
						},
					},
					Manifests: []*transcoderpb.Manifest{
						{
							FileName:   "manifest.m3u8",
							Type:       transcoderpb.Manifest_HLS,
							MuxStreams: []string{"sd-hls-fmp4", "audio-hls-fmp4", "text-vtt-en", "text-vtt-es"},
						},
					},
				},
			},
		},
	}
	// Creates the job. Jobs take a variable amount of time to run.
	// You can query for the job state; see getJob() in get_job.go.
	response, err := client.CreateJob(ctx, req)
	if err != nil {
		return fmt.Errorf("CreateJob: %w", err)
	}

	fmt.Fprintf(w, "Job: %v", response.GetName())
	return nil
}

Java

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Java 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Java API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。


import com.google.cloud.video.transcoder.v1.AudioStream;
import com.google.cloud.video.transcoder.v1.CreateJobRequest;
import com.google.cloud.video.transcoder.v1.EditAtom;
import com.google.cloud.video.transcoder.v1.ElementaryStream;
import com.google.cloud.video.transcoder.v1.Input;
import com.google.cloud.video.transcoder.v1.Job;
import com.google.cloud.video.transcoder.v1.JobConfig;
import com.google.cloud.video.transcoder.v1.LocationName;
import com.google.cloud.video.transcoder.v1.Manifest;
import com.google.cloud.video.transcoder.v1.Manifest.ManifestType;
import com.google.cloud.video.transcoder.v1.MuxStream;
import com.google.cloud.video.transcoder.v1.Output;
import com.google.cloud.video.transcoder.v1.SegmentSettings;
import com.google.cloud.video.transcoder.v1.TextStream;
import com.google.cloud.video.transcoder.v1.TextStream.TextMapping;
import com.google.cloud.video.transcoder.v1.TranscoderServiceClient;
import com.google.cloud.video.transcoder.v1.VideoStream;
import com.google.protobuf.Duration;
import java.io.IOException;

public class CreateJobWithStandaloneCaptions {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "my-project-id";
    String location = "us-central1";
    String inputVideoUri = "gs://my-bucket/my-video-file";
    String inputCaptionsUri = "gs://my-bucket/my-captions-file";
    String outputUri = "gs://my-bucket/my-output-folder/";

    createJobWithStandaloneCaptions(
        projectId, location, inputVideoUri, inputCaptionsUri, outputUri);
  }

  // Creates a job from an ad-hoc configuration that can use captions from a standalone file.
  public static void createJobWithStandaloneCaptions(
      String projectId,
      String location,
      String inputVideoUri,
      String inputCaptionsUri,
      String outputUri)
      throws IOException {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests.
    try (TranscoderServiceClient transcoderServiceClient = TranscoderServiceClient.create()) {

      VideoStream videoStream0 =
          VideoStream.newBuilder()
              .setH264(
                  VideoStream.H264CodecSettings.newBuilder()
                      .setBitrateBps(550000)
                      .setFrameRate(60)
                      .setHeightPixels(360)
                      .setWidthPixels(640))
              .build();

      AudioStream audioStream0 =
          AudioStream.newBuilder().setCodec("aac").setBitrateBps(64000).build();

      TextStream textStream0 =
          TextStream.newBuilder()
              .setCodec("webvtt")
              .addMapping(
                  0,
                  TextMapping.newBuilder()
                      .setAtomKey("atom0")
                      .setInputKey("caption_input0")
                      .setInputTrack(0)
                      .build())
              .build();

      JobConfig config =
          JobConfig.newBuilder()
              .addInputs(Input.newBuilder().setKey("input0").setUri(inputVideoUri))
              .addInputs(Input.newBuilder().setKey("caption_input0").setUri(inputCaptionsUri))
              .addEditList(
                  0, // Index in the edit list
                  EditAtom.newBuilder()
                      .setKey("atom0")
                      .addInputs("input0")
                      .addInputs("caption_input0")
                      .build())
              .setOutput(Output.newBuilder().setUri(outputUri))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("video_stream0")
                      .setVideoStream(videoStream0))
              .addElementaryStreams(
                  ElementaryStream.newBuilder()
                      .setKey("audio_stream0")
                      .setAudioStream(audioStream0))
              .addElementaryStreams(
                  ElementaryStream.newBuilder().setKey("vtt_stream0").setTextStream(textStream0))
              .addMuxStreams(
                  0,
                  MuxStream.newBuilder()
                      .setKey("sd_hls_fmp4")
                      .setContainer("fmp4")
                      .addElementaryStreams("video_stream0")
                      .build())
              .addMuxStreams(
                  1,
                  MuxStream.newBuilder()
                      .setKey("audio_hls_fmp4")
                      .setContainer("fmp4")
                      .addElementaryStreams("audio_stream0")
                      .build())
              .addMuxStreams(
                  2,
                  MuxStream.newBuilder()
                      .setKey("text_vtt")
                      .setContainer("vtt")
                      .addElementaryStreams("vtt_stream0")
                      .setSegmentSettings(
                          SegmentSettings.newBuilder()
                              .setSegmentDuration(Duration.newBuilder().setSeconds(6).build())
                              .setIndividualSegments(true)
                              .build())
                      .build())
              .addManifests(
                  0,
                  Manifest.newBuilder()
                      .setFileName("manifest.m3u8")
                      .setType(ManifestType.HLS)
                      .addMuxStreams("sd_hls_fmp4")
                      .addMuxStreams("audio_hls_fmp4")
                      .addMuxStreams("text_vtt")
                      .build())
              .build();

      CreateJobRequest createJobRequest =
          CreateJobRequest.newBuilder()
              .setJob(Job.newBuilder().setOutputUri(outputUri).setConfig(config).build())
              .setParent(LocationName.of(projectId, location).toString())
              .build();

      // Send the job creation request and process the response.
      Job job = transcoderServiceClient.createJob(createJobRequest);
      System.out.println("Job: " + job.getName());
    }
  }
}

Node.js

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Node.js 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Node.js API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// projectId = 'my-project-id';
// location = 'us-central1';
// inputVideoUri = 'gs://my-bucket/my-video-file';
// inputSubtitles1Uri = 'gs://my-bucket/my-captions-file1';
// inputSubtitles2Uri = 'gs://my-bucket/my-captions-file2';
// outputUri = 'gs://my-bucket/my-output-folder/';

// Imports the Transcoder library
const {TranscoderServiceClient} =
  require('@google-cloud/video-transcoder').v1;

// Instantiates a client
const transcoderServiceClient = new TranscoderServiceClient();

async function createJobWithStandaloneCaptions() {
  // Construct request
  const request = {
    parent: transcoderServiceClient.locationPath(projectId, location),
    job: {
      outputUri: outputUri,
      config: {
        inputs: [
          {
            key: 'input0',
            uri: inputVideoUri,
          },
          {
            key: 'subtitle_input_en',
            uri: inputSubtitles1Uri,
          },
          {
            key: 'subtitle_input_es',
            uri: inputSubtitles2Uri,
          },
        ],
        editList: [
          {
            key: 'atom0',
            inputs: ['input0', 'subtitle_input_en', 'subtitle_input_es'],
          },
        ],
        elementaryStreams: [
          {
            key: 'video-stream0',
            videoStream: {
              h264: {
                heightPixels: 360,
                widthPixels: 640,
                bitrateBps: 550000,
                frameRate: 60,
              },
            },
          },
          {
            key: 'audio-stream0',
            audioStream: {
              codec: 'aac',
              bitrateBps: 64000,
            },
          },
          {
            key: 'vtt-stream-en',
            textStream: {
              codec: 'webvtt',
              languageCode: 'en-US',
              displayName: 'English',
              mapping: [
                {
                  atomKey: 'atom0',
                  inputKey: 'subtitle_input_en',
                },
              ],
            },
          },
          {
            key: 'vtt-stream-es',
            textStream: {
              codec: 'webvtt',
              languageCode: 'es-ES',
              displayName: 'Spanish',
              mapping: [
                {
                  atomKey: 'atom0',
                  inputKey: 'subtitle_input_es',
                },
              ],
            },
          },
        ],
        muxStreams: [
          {
            key: 'sd-hls-fmp4',
            container: 'fmp4',
            elementaryStreams: ['video-stream0'],
          },
          {
            key: 'audio-hls-fmp4',
            container: 'fmp4',
            elementaryStreams: ['audio-stream0'],
          },
          {
            key: 'text-vtt-en',
            container: 'vtt',
            elementaryStreams: ['vtt-stream-en'],
            segmentSettings: {
              segmentDuration: {
                seconds: 6,
              },
              individualSegments: true,
            },
          },
          {
            key: 'text-vtt-es',
            container: 'vtt',
            elementaryStreams: ['vtt-stream-es'],
            segmentSettings: {
              segmentDuration: {
                seconds: 6,
              },
              individualSegments: true,
            },
          },
        ],
        manifests: [
          {
            fileName: 'manifest.m3u8',
            type: 'HLS',
            muxStreams: [
              'sd-hls-fmp4',
              'audio-hls-fmp4',
              'text-vtt-en',
              'text-vtt-es',
            ],
          },
        ],
      },
    },
  };

  // Run request
  const [response] = await transcoderServiceClient.createJob(request);
  console.log(`Job: ${response.name}`);
}

createJobWithStandaloneCaptions();

Python

在试用此示例之前,请按照《Transcoder API 快速入门:使用客户端库》中的 Python 设置说明进行操作。 如需了解详情,请参阅 Transcoder API Python API 参考文档。

如需向 Transcoder API 进行身份验证,请设置应用默认凭据。如需了解详情,请参阅为本地开发环境设置身份验证。


import argparse

from google.cloud.video import transcoder_v1
from google.cloud.video.transcoder_v1.services.transcoder_service import (
    TranscoderServiceClient,
)
from google.protobuf import duration_pb2 as duration


def create_job_with_standalone_captions(
    project_id: str,
    location: str,
    input_video_uri: str,
    input_subtitles1_uri: str,
    input_subtitles2_uri: str,
    output_uri: str,
) -> transcoder_v1.types.resources.Job:
    """Creates a job based on an ad-hoc job configuration that can use subtitles from a standalone file.

    Args:
        project_id (str): The GCP project ID.
        location (str): The location to start the job in.
        input_video_uri (str): Uri of the input video in the Cloud Storage
          bucket.
        input_subtitles1_uri (str): Uri of an input subtitles file in the Cloud
          Storage bucket.
        input_subtitles2_uri (str): Uri of an input subtitles file in the Cloud
          Storage bucket.
        output_uri (str): Uri of the video output folder in the Cloud Storage
          bucket.

    Returns:
        The job resource.
    """

    client = TranscoderServiceClient()

    parent = f"projects/{project_id}/locations/{location}"
    job = transcoder_v1.types.Job()
    job.output_uri = output_uri
    job.config = transcoder_v1.types.JobConfig(
        inputs=[
            transcoder_v1.types.Input(
                key="input0",
                uri=input_video_uri,
            ),
            transcoder_v1.types.Input(
                key="subtitle-input-en",
                uri=input_subtitles1_uri,
            ),
            transcoder_v1.types.Input(
                key="subtitle-input-es",
                uri=input_subtitles2_uri,
            ),
        ],
        edit_list=[
            transcoder_v1.types.EditAtom(
                key="atom0",
                inputs=["input0", "subtitle-input-en", "subtitle-input-es"],
            ),
        ],
        elementary_streams=[
            transcoder_v1.types.ElementaryStream(
                key="video-stream0",
                video_stream=transcoder_v1.types.VideoStream(
                    h264=transcoder_v1.types.VideoStream.H264CodecSettings(
                        height_pixels=360,
                        width_pixels=640,
                        bitrate_bps=550000,
                        frame_rate=60,
                    ),
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="audio-stream0",
                audio_stream=transcoder_v1.types.AudioStream(
                    codec="aac",
                    bitrate_bps=64000,
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="vtt-stream-en",
                text_stream=transcoder_v1.types.TextStream(
                    codec="webvtt",
                    language_code="en-US",
                    display_name="English",
                    mapping_=[
                        transcoder_v1.types.TextStream.TextMapping(
                            atom_key="atom0",
                            input_key="subtitle-input-en",
                        ),
                    ],
                ),
            ),
            transcoder_v1.types.ElementaryStream(
                key="vtt-stream-es",
                text_stream=transcoder_v1.types.TextStream(
                    codec="webvtt",
                    language_code="es-ES",
                    display_name="Spanish",
                    mapping_=[
                        transcoder_v1.types.TextStream.TextMapping(
                            atom_key="atom0",
                            input_key="subtitle-input-es",
                        ),
                    ],
                ),
            ),
        ],
        mux_streams=[
            transcoder_v1.types.MuxStream(
                key="sd-hls-fmp4",
                container="fmp4",
                elementary_streams=["video-stream0"],
            ),
            transcoder_v1.types.MuxStream(
                key="audio-hls-fmp4",
                container="fmp4",
                elementary_streams=["audio-stream0"],
            ),
            transcoder_v1.types.MuxStream(
                key="text-vtt-en",
                container="vtt",
                elementary_streams=["vtt-stream-en"],
                segment_settings=transcoder_v1.types.SegmentSettings(
                    segment_duration=duration.Duration(
                        seconds=6,
                    ),
                    individual_segments=True,
                ),
            ),
            transcoder_v1.types.MuxStream(
                key="text-vtt-es",
                container="vtt",
                elementary_streams=["vtt-stream-es"],
                segment_settings=transcoder_v1.types.SegmentSettings(
                    segment_duration=duration.Duration(
                        seconds=6,
                    ),
                    individual_segments=True,
                ),
            ),
        ],
        manifests=[
            transcoder_v1.types.Manifest(
                file_name="manifest.m3u8",
                type_="HLS",
                mux_streams=[
                    "sd-hls-fmp4",
                    "audio-hls-fmp4",
                    "text-vtt-en",
                    "text-vtt-es",
                ],
            ),
        ],
    )
    response = client.create_job(parent=parent, job=job)
    print(f"Job: {response.name}")
    return response

播放视频

如需在 Windows 上查看字幕,请在“电影和电视”应用中播放视频。请务必选择字幕轨道。

如需在 macOS 或 Linux 上查看字幕,您可以在 Shaka Player 中播放视频。请务必通过字幕菜单启用字幕。

如需在 Shaka Player 中播放生成的媒体文件,请完成以下步骤:

  1. 请将 Cloud Storage 存储桶设为可公开读取。
  2. 如需在 Cloud Storage 存储桶上启用跨域资源共享 (CORS),请执行以下操作:
    1. 创建一个包含以下代码的 JSON 文件:
      [
        {
          "origin": ["https://shaka-player-demo.appspot.com/"],
          "responseHeader": ["Content-Type", "Range"],
          "method": ["GET", "HEAD"],
          "maxAgeSeconds": 3600
        }
      ]
    2. 将 JSON_FILE_NAME 替换为您在上一步中创建的 JSON 文件的名称,然后运行以下命令:
      gcloud storage buckets update gs://STORAGE_BUCKET_NAME --cors-file=JSON_FILE_NAME.json
  3. 在 Cloud Storage 存储桶中,选择一个由转码作业生成的 MP4 文件或清单文件。在该文件的公开访问权限列中,点击复制网址。
  4. 导航到在线直播播放器 Shaka Player。
  5. 点击顶部导航栏中的自定义内容。
  6. 点击 + 按钮。
  7. 将文件的公开网址粘贴到清单网址框中。

    在 Shaka Player 中输入文件的网址。

  8. 在名称框中输入一个名称。

  9. 点击保存。

  10. 点击播放。

  11. 选择播放器右下角的省略号按钮并启用字幕。

示例

您可以使用以下文件来运行测试作业:

输入字幕文件不得在文本行之间包含空白行。