semvec/pypi-packages huggingface dataset:
vre-video 0.5.1
Video Representations Extractor (VRE) Video reader
License: MIT
Requires Python: >=3.8

# VRE Video

A python video reader that can read video frames using ffmpeg behind the scenes. Support for PIL/Numpy based directory of frames as well + in memory numpy frames for testing. This repository is used to drive advancements/optimizations and supporting more video formats (thanks to ffmpeg). We have a dummy [video player](examples/vre-video-player/) as well in the examples.

Dependencies:
- `ffmpeg` If you want to use the standard video reader/writer, you need ffmpeg installed in your path.

Install (pip):
```bash
pip install vre-video
```

Install (dev):
```bash
git clone https://gitlab.com/meehai/ffmpeg-video/
echo "$(pwd)/ffmpeg-video" >> ~/.bashrc
source ~/.bashrc
pip install -r ffmpeg-video/requirements.txt
```

Handle venv/conda/uv stuff on your own!

Usage:
```python
from vre_video import VREVideo
video = VREVideo("video.mp4")
frame = video[ix] # returns a numpy array
```

Supports 3 backends for both reading and writing: `numpy`, `Pillow` and `ffmpeg`. It will auto-detect based on input: if a directory is provided it'll try to guess (png/jpg/npz/npy etc.) assuming it's a dir of frames (1.npz, ..., N.npz). If it's a path with suffix (i.e. .mp4, .mkv etc.) it will use the ffmpeg-based variant. Same for writing.

### Support for youtube videos

Requires `youtube-dl` python package.

Usage:
```python
from vre_video import VREVideo
video = VREVideo("https://www.youtube.com/...")
frame = video[ix] # returns a numpy array
```

### Support for stdin (like ffplay)

Usage:
```python
from vre_video import VREVideo
video = VREVideo("-")
frame = video[ix] # returns a numpy array
```

Used in combination with [vre_video_player](examples/vre-video-player/) (i.e. reading from `/dev/videoXX` webcam).

# Projects using VRE Video

## Video Representations Extractor (VRE)

Used in [Video Representations Extractor](https://gitlab.com/video-representations-extractor/video-representations-extractor) (VRE) library to extract multiple modalities for multi-task learning (MTL) in machine learning from videos

## Drones I/O & Actions (drone-ioact)

Used in [drone-ioact](https://gitlab.com/meehai/drone-ioact) as a base layer for the video player which acts as a testing ground for the simplest possible drone simulator environment: video continuously playing with basic actions like pause/play or take screenshot.