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Project description
BVI-AOM Dataset Downloader
A Python utility for downloading the BVI-AOM (Bristol Vision Institute - Alliance for Open Media) video dataset hosted on Netflix's Open Content platform.
Installation
pip install bvi-aom
Usage
Command Line Interface
Download a single resolution:
bvi-aom /path/to/storage -r 1920x1088
Download multiple resolutions:
bvi-aom /path/to/storage -r 1920x1088 960x544 480x272
Remove tar files after extraction to save disk space:
bvi-aom /path/to/storage -r 1920x1088 --remove-tar
Python API
from bvi_aom import BVIAOMDataset
# Download a single resolution
dataset = BVIAOMDataset('/path/to/storage', '1920x1088')
# Download multiple resolutions
dataset = BVIAOMDataset('/path/to/storage', ['1920x1088', '960x544'])
# Remove tar files after extraction
dataset = BVIAOMDataset('/path/to/storage', '1920x1088', remove_tar=True)
Available Resolutions
| Resolution | Description |
|---|---|
3840x2176 |
4K UHD (split into 6 parts) |
1920x1088 |
1080p Full HD |
960x544 |
544p |
480x272 |
272p |
Features
- Automatic download: Fetches video sequences from S3 bucket
- Multi-resolution support: Download one or more resolutions in a single command
- Cleanup option: Optionally remove tar files after extraction with
--remove-tar
Dataset Information
The BVI-AOM dataset is a collection of high-quality video sequences used for video codec development and evaluation by the Alliance for Open Media (AOM). The files can be quite large, so ensure you have sufficient storage space.
License
The BVI-AOM dataset is subject to its own licensing terms. Please refer to BVI-AOM Paper.
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