Description #

Video audio track removal processor

Features #

• Removes audio tracks from video using ffmpeg subprocess
• Preserves original video encoding and quality (no re-encoding required)
• Automatically downloads remote files / uploads results
• Supports timeout control
• Supports multiple video formats

Operator parameters #

Input #

Output #

Output path array

Parameters #

If a parameter does not have a default value, it is required

Examples #

The following code demonstrates how to use Daft (for distributed scenarios) to run the operator to remove audio tracks from video.

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 VideoRemoveAudio

if __name__ == "__main__":
    # After removing audio, the video will be saved to the specified TOS path. Therefore, you need to set environment variables to ensure write access to TOS, including: 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 = {
        "input_path": [f"https://{TOS_TEST_DIR_URL}/public/archive/video_remove_audio/music_sample.mp4"],
        "output_path": [f"tos://{TOS_TEST_DIR}/video_remove_audio/music_sample_no_audio.mp4"],
    }
    ds = daft.from_pydict(samples)

    # Using Daft to remove audio tracks from video
    constructor_kwargs = {
        "output_format": None,
        "extra_params": [],
    }

    ds = ds.with_column(
        "remove_audio_result",
        las_udf(VideoRemoveAudio, construct_args=constructor_kwargs)(col("input_path"), col("output_path")),
    )

    ds.show()
    # ╭────────────────────────────────┬────────────────────────────────┬────────────────────────────────╮
    # │ input_path                     ┆ output_path                    ┆ remove_audio_result            │
    # │ ---                            ┆ ---                            ┆ ---                            │
    # │ String                         ┆ String                         ┆ String                         │
    # ╞════════════════════════════════╪════════════════════════════════╪════════════════════════════════╡
    # │ https://las-public-data-qa.to… ┆ tos://tos_bucket/video_remove… ┆ tos://tos_bucket/video_remove… │
    # ╰────────────────────────────────┴────────────────────────────────┴────────────────────────────────╯