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Indonesian Video Salient Entity Detection

Project description

IndoVSE

IndoVSE is a Python package for extracting salient named entities from Indonesian videos.

Requirements

You must have ffmpeg installed on your system (not via pip).

  • Ubuntu/Debian: sudo apt install ffmpeg
  • MacOS: brew install ffmpeg
  • Windows: Download from official ffmpeg website and add it to your system PATH.

Installation

pip install indovse

(atau instal dari source: pip install -e . di dalam folder ini)

Usage

from indovse import predict_vid, predict_yt

# Models are automatically downloaded on first call and cached in memory
# GPU is highly recommended for Whisper and BERT inference
result = predict_vid("video.mp4", top_k=5)

# YouTube URLs are also supported
yt_result = predict_yt("https://www.youtube.com/watch?v=example", top_k=5)

# Output is a dict with 'salient_entities' and 'entity_timeline'
print(result["salient_entities"])

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