Description #

Video and audio detection processor

Features #

• Uses ffprobe to detect whether an audio stream exists in the video
• Automatically downloads remote files
• Supports timeout control
• Supports multiple video formats
• Returns a boolean value indicating whether audio exists

Operator parameters #

Input #

Output #

Boolean array: True indicates audio exists, False indicates no audio, None indicates detection failed

Parameters #

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

Examples #

The following code demonstrates how to use Daft in distributed scenarios to run the operator to detect whether audio exists in a 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 VideoDetectAudio

if __name__ == "__main__":
    TOS_TEST_DIR_URL = os.getenv("TOS_TEST_DIR_URL", "las-cn-beijing-public-online.tos-cn-beijing.volces.com")

    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_detect_audio/music_sample.mp4",
            f"https://{TOS_TEST_DIR_URL}/public/archive/video_detect_audio/music_sample_no_audio.mp4",
        ],
    }
    ds = daft.from_pydict(samples)

    # Using Daft to detect audio in video
    constructor_kwargs = {
        "timeout": 600,
    }

    ds = ds.with_column(
        "has_audio",
        las_udf(VideoDetectAudio, construct_args=constructor_kwargs)(col("input_path")),
    )

    ds.show()
    # ╭────────────────────────────────┬───────────╮
    # │ input_path                     ┆ has_audio │
    # │ ---                            ┆ ---       │
    # │ String                         ┆ Bool      │
    # ╞════════════════════════════════╪═══════════╡
    # │ https://las-public-data-qa.to… ┆ true      │
    # ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┤
    # │ https://las-public-data-qa.to… ┆ false     │
    # ╰────────────────────────────────┴───────────╯