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Project description
BVI-AOM Dataset Downloader
A Python wrapper around AWS CLI for downloading the BVI-AOM (Bristol Vision Institute - Alliance for Open Media) video dataset hosted on Netflix's Open Content platform.
It simply syncs the entire S3 bucket and then extracts the dataset archives for you.
Installation
pip install bvi-aom
Usage
Command Line Interface
Sync and extract the full dataset:
bvi-aom /path/to/storage
Python API
from bvi_aom import BVIAOMDataset
# Sync the full dataset and extract all archives
dataset = BVIAOMDataset("/path/to/storage")
This package depends on awscli. After installation, make sure the aws command is available on your PATH.
No AWS credentials are required because downloads use --no-sign-request.
What it does
-
Runs:
aws s3 sync s3://download.opencontent.netflix.com/bvi_aom_dataset/ /path/to/storage --no-sign-request
-
Then, in
/path/to/storage, it looks for these archives and extracts them into the same folder, deleting the archives after successful extraction:1088p.tar.gz2176p_part_a.tar.gz2176p_part_b.tar.gz2176p_part_c.tar.gz2176p_part_d.tar.gz2176p_part_e.tar.gz2176p_part_f.tar.gz272p.tar.gz544p.tar.gz
Notes and Requirements
- Ensure you have enough disk space for all resolutions.
- If you re-run the command or Python API,
aws s3 syncwill only fetch changed/missing files, and already-extracted archives that no longer exist will be skipped safely.
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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