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https://github.com/pyannote/pyannote-video
Face detection, tracking and clustering in videos
https://github.com/pyannote/pyannote-video
Last synced: 4 days ago
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Face detection, tracking and clustering in videos
- Host: GitHub
- URL: https://github.com/pyannote/pyannote-video
- Owner: pyannote
- License: mit
- Created: 2015-10-09T12:47:33.000Z (about 9 years ago)
- Default Branch: develop
- Last Pushed: 2024-03-25T12:36:59.000Z (8 months ago)
- Last Synced: 2024-08-03T02:10:09.350Z (3 months ago)
- Language: Python
- Homepage: http://pyannote.github.io
- Size: 18 MB
- Stars: 432
- Watchers: 21
- Forks: 129
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Announcement
Open [postdoc position](https://mycore.core-cloud.net/public.php?service=files&t=2b5f5a79d24ac81c3b3c371fcd80734b) at [LIMSI](https://www.limsi.fr/en/) combining machine learning, NLP, speech processing, and computer vision.
# pyannote-video
> a toolkit for face detection, tracking, and clustering in videos
## Installation
Create a new `conda` environment:
```bash
$ conda create -n pyannote python=3.6 anaconda
$ source activate pyannote
```Install `pyannote-video` and its dependencies:
```bash
$ pip install pyannote-video
```Download `dlib` models:
```bash
$ git clone https://github.com/pyannote/pyannote-data.git
$ git clone https://github.com/davisking/dlib-models.git
$ bunzip2 dlib-models/dlib_face_recognition_resnet_model_v1.dat.bz2
$ bunzip2 dlib-models/shape_predictor_68_face_landmarks.dat.bz2
```## Tutorial
To execute the ["Getting started"](http://nbviewer.ipython.org/github/pyannote/pyannote-video/blob/master/doc/getting_started.ipynb) notebook locally, download the example video and `pyannote.video` source code:
```bash
$ git clone https://github.com/pyannote/pyannote-data.git
$ git clone https://github.com/pyannote/pyannote-video.git
$ pip install jupyter
$ jupyter notebook --notebook-dir="pyannote-video/doc"
```## Documentation
No proper documentation for the time being...