https://github.com/nateraw/encoded-video

Utilities for working with videos
https://github.com/nateraw/encoded-video

numpy pyav serialization video-processing

Last synced: 28 days ago
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Utilities for working with videos

• Host: GitHub
• URL: https://github.com/nateraw/encoded-video
• Owner: nateraw
• Created: 2021-10-28T00:49:00.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-28T17:21:50.000Z (about 3 years ago)
• Last Synced: 2024-10-02T05:01:28.677Z (about 1 month ago)
• Topics: numpy, pyav, serialization, video-processing
• Language: Python
• Homepage:
• Size: 1.69 MB
• Stars: 13
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# encoded-video



Utilities for serializing/deserializing videos w/ `pyav` and `numpy`. 

## Purpose

1. Have a helpful API for working with videos

2. Liberate myself from relying on `torch` or `tensorflow` to do the above

3. Serialize/deserialize videos without writing directly to file (helpful for sending/recieving videos over APIs)

## Acknowledgments

This is more or less a `torch`-less version of `EncodedVideo` from [`pytorchvideo`](https://github.com/facebookresearch/pytorchvideo).

## Setup

```

pip install encoded-video

```

## Usage

```python

import numpy as np

from encoded_video import bytes_to_video, read_video, video_to_bytes

vid = read_video('archery.mp4')

video_arr = vid['video']  # (T, H, W, C)

audio_arr = vid['audio']  # (S,)

out_bytes = video_to_bytes(

    video_arr,

    fps=30,

    audio_array=np.expand_dims(audio_arr, 0),

    audio_fps=vid['audio_fps'],

    audio_codec='aac'

)

restored_video = bytes_to_video(out_bytes)

```