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 downloaded and loaded during module import
# 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-0.1.4.tar.gz
(5.5 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-0.1.4.tar.gz.
File metadata
- Download URL: indovse-0.1.4.tar.gz
- Upload date:
- Size: 5.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d51da0665644bd5cc5d83ce64bcd70f48fb11e59406cfb00b47591bd0082eae6
|
|
| MD5 |
0e16816422203de9a5a9e472d0430064
|
|
| BLAKE2b-256 |
9d510e4ccf4bb9bdfd1d9d31ba576beaab39d20dba07021b9e14064b86a7620f
|
File details
Details for the file indovse-0.1.4-py3-none-any.whl.
File metadata
- Download URL: indovse-0.1.4-py3-none-any.whl
- Upload date:
- Size: 6.4 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 |
7c0aa9551cb79ff51d4f98f24ed069cfe70c27487aed335d5e8e1ab7bb4dce5b
|
|
| MD5 |
8e2bfea7bf865d0623c1c3b91362fda2
|
|
| BLAKE2b-256 |
98f69abb177b70b3a298dd53a52ea5d9832b92845762ae1dc43b25786e1c5348
|