Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Video Dataset

This is a python library to create a video dataset. The project is inspired from Video-Dataset-Loading-Pytorch but with a lot of additional features and modifications.

The goal is to have a very moldable and customizable video dataset that can be reused in all possible video dataset situations.

Installation

pip install video-dataset

Supported Dataset Structures

Raw Videos

- your-dataset
- - videos
- - - video-1.mp4
- - - video-2.mp3
- - - ...
- - annotations
- - - video-1.csv
- - - video-2.csv
- - - ...
training_ids.txt
testing_ids.txt
validation_ids.txt

Videos Frames

- your-dataset
- - videos
- - - video-1
- - - - img_00001.jpg
- - - - img_00002.jpg
- - - - img_00003.jpg
- - - - ...
- - - video-2
- - - ...
- - annotations
- - - video-1.csv
- - - video-2.csv
- - - ...
training_ids.txt
testing_ids.txt
validation_ids.txt

Text Annotations

Usage

Todos

  • Explore for faster methods of reading images to speed up the loading as 0.6 seconds is really too slow in my opinion.

Metadata

Release files for video-dataset 0.2.9.dev20250304145955

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for video-dataset 0.2.9.dev20250304145955
File Size Uploaded Provenance Actions
video_dataset-0.2.9.dev20250304145955.tar.gz 7.3 kB Without provenance Details for video_dataset-0.2.9.dev20250304145955.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for video-dataset 0.2.9.dev20250304145955
File Interpreter ABI Platform Actions
video_dataset-0.2.9.dev20250304145955-py3-none-any.whl Python 3 none any Details for video_dataset-0.2.9.dev20250304145955-py3-none-any.whl

Total release size: 16.6 kB

Release files / video_dataset-0.2.9.dev20250304145955.tar.gz

Download URL video_dataset-0.2.9.dev20250304145955.tar.gz
Size 7.3 kB
Tags Source
SHA-256 checksum
How to use checksums
91dc4a131fca78aa66a19b374a03d84717ba789e66ad272c54717cf47c8c9dd7
BLAKE2b-256 checksum
How to use checksums
e5da8c13cbe0416c59ccdb09fbba41bff5a592521efd35519db57a16a830f8b9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.1 CPython/3.12.9 Linux/6.8.0-1021-azure

Release files / video_dataset-0.2.9.dev20250304145955-py3-none-any.whl

Download URL video_dataset-0.2.9.dev20250304145955-py3-none-any.whl
Size 9.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b749707c298691ce82d8486ccec31608be34261fddf626dfa22d06d3990dd3de
BLAKE2b-256 checksum
How to use checksums
1e35a10259c0716e3a7c494d9f8430e131da3701b0af73748964b8981bbb56a5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.1 CPython/3.12.9 Linux/6.8.0-1021-azure

Security for video-dataset 0.2.9.dev20250304145955

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page