算子ID：daft.las.functions.video.video_concat.VideoConcat

描述 #

视频拼接处理器，将多个视频顺序拼接为一个输出视频

核心功能： #

• 支持多个视频文件拼接
• 支持本地/TOS/HTTP 路径输入
• 支持配置视频/音频编码参数
• 适合批量视频合并处理

格式支持： #

• MP4 (.mp4)
• MOV (.mov)
• MKV (.mkv)
• AVI (.avi)
• 其他常见视频格式

算子参数 #

输入 #

输出 #

拼接后的视频路径列

参数 #

调用示例 #

下面的代码展示了如何使用 Daft（适用于分布式）运行算子对视频进行拼接。输入和输出都使用TOS路径，因此，需要设置好环境变量以保证有权限读写TOS，包括：ACCESS_KEY,SECRET_KEY,TOS_ENDPOINT,TOS_REGION,TOS_TEST_DIR

from __future__ import annotations

import os

import daft
from daft import col
from daft.las.functions.udf import las_udf
from daft.las.functions.video import VideoConcat

if __name__ == "__main__":
    # 输入和输出都使用TOS路径，因此，需要设置好环境变量以保证有权限读写TOS，包括：ACCESS_KEY,SECRET_KEY,TOS_ENDPOINT,TOS_REGION,TOS_TEST_DIR
    TOS_TEST_DIR_URL = os.getenv("TOS_TEST_DIR_URL", "las-cn-beijing-public-online.tos-cn-beijing.volces.com")
    TOS_TEST_DIR = os.getenv("TOS_TEST_DIR", "tos_bucket")

    if os.getenv("DAFT_RUNNER", "native") == "ray":
        import logging

        import ray

        def configure_logging():
            logging.basicConfig(
                level=logging.INFO,
                format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
                datefmt="%Y-%m-%d %H:%M:%S",
            )
            logging.getLogger("tracing.span").setLevel(logging.WARNING)
            logging.getLogger("daft_io.stats").setLevel(logging.WARNING)
            logging.getLogger("DaftStatisticsManager").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaScheduler").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaDispatcher").setLevel(logging.WARNING)

        ray.init(dashboard_host="0.0.0.0", runtime_env={"worker_process_setup_hook": configure_logging})
        daft.set_runner_ray()

    daft.set_execution_config(actor_udf_ready_timeout=600)
    daft.set_execution_config(min_cpu_per_task=0)

    samples = {
        "video_paths": [
            [
                f"https://{TOS_TEST_DIR_URL}/public/shared_video_dataset/music_sample.mp4",
                f"https://{TOS_TEST_DIR_URL}/public/shared_video_dataset/music_sample.mp4",
            ]
        ],
        "output_path": [f"tos://{TOS_TEST_DIR}/video/video_concat/concatenated_video.mp4"],
    }
    ds = daft.from_pydict(samples)

    constructor_kwargs = {
        "output_format": "mp4",
        "video_codec": "libx264",
        "audio_codec": "aac",
    }

    ds = ds.with_column(
        "concat_path",
        las_udf(VideoConcat, construct_args=constructor_kwargs)(
            col("video_paths"),
            col("output_path"),
        ),
    )

    ds.show()
    # ╭────────────────────────────────┬────────────────────────────────┬────────────────────────────────╮
    # │ video_paths                    ┆ output_path                    ┆ concat_path                    │
    # │ ---                            ┆ ---                            ┆ ---                            │
    # │ List[String]                   ┆ String                         ┆ String                         │
    # ╞════════════════════════════════╪════════════════════════════════╪════════════════════════════════╡
    # │ [https://las-cn-beijing-pub…   ┆ tos://tos_bucket/video/video_… ┆ tos://tos_bucket/video/video_… │
    # ╰────────────────────────────────┴────────────────────────────────┴────────────────────────────────╯