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"])
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
indovse-0.1.2.tar.gz
(5.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file indovse-0.1.2.tar.gz.
File metadata
- Download URL: indovse-0.1.2.tar.gz
- Upload date:
- Size: 5.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
16955ad89b59c4ba04add392265a8cb6d8463e871f80543d1ea41b6fc452dde4
|
|
| MD5 |
815377c187ea554bc2eba2b4c560b0f8
|
|
| BLAKE2b-256 |
3c71ca876f7190296f0abf06ebb4bfae33c42b136280e2a1a9da016a1d3486bb
|
File details
Details for the file indovse-0.1.2-py3-none-any.whl.
File metadata
- Download URL: indovse-0.1.2-py3-none-any.whl
- Upload date:
- Size: 5.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7133f71efcbb99bb20ad0ebf8b5f52b78527b0f49c2e2aff208acf6aaaa61f0
|
|
| MD5 |
dc38e8839397fce38c69dfc353550307
|
|
| BLAKE2b-256 |
126feb5ec1cdab10e611246802f02086860ecd7acf467726f6eb6719e54f35b3
|