AugVid
AugVid is a collection of augmentation layers for videos, inspired by the corresponding image preprocessing layers from tf.keras.
demo
Installation
pip install augvid
Getting Started
The augmentation layers can be added during the model construction:
import tensorflow as tf
from augvid import RandomVideoBrightness, RandomHorizontalVideoFlip
model = tf.keras.Sequential([
RandomVideoBrightness(max_delta=0.1),
RandomHorizontalVideoFlip(),
# add more layers here
])
Demo
To generate demo video, first install the required dependencies:
pip install 'augvid[dev]'
Then run:
python demo.py --video <PATH_TO_VIDEO>
1 maintainer
Metadata
1 maintainer
Release files for augvid 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| augvid-0.0.3.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| augvid-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.4 kB
Release files / augvid-0.0.3.tar.gz
| Download URL | augvid-0.0.3.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64ce9fd4265038be4e04b87357946b7a5dbdd6939ff3fe98554edeb6189b7dfe
|
|
BLAKE2b-256 checksum How to use checksums |
23e4ea22dfda1d0f3b290f37767091b24d46fc87712561ab6d0b1e6ca2b970e0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 30, 2026.
Transparency logRelease files / augvid-0.0.3-py3-none-any.whl
| Download URL | augvid-0.0.3-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d28348e33d704d3cd1b74c4a4aefc019189081d79669e8968778294c846d5e20
|
|
BLAKE2b-256 checksum How to use checksums |
10434676fbc6d545fff7f9844dcf5696655db3cc8ea3a4a1623815736bd4bf7d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 30, 2026.
Transparency log
