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.
1 maintainer
Release files for video-dataset 0.3.0.dev20250306131850
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| video_dataset-0.3.0.dev20250306131850.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| video_dataset-0.3.0.dev20250306131850-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / video_dataset-0.3.0.dev20250306131850.tar.gz
| Download URL | video_dataset-0.3.0.dev20250306131850.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / video_dataset-0.3.0.dev20250306131850-py3-none-any.whl
| Download URL | video_dataset-0.3.0.dev20250306131850-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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
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