Porting all models from everywhere to Keras to leverage multi-backend support.
Cause why not?🤷🏻♂️
Table of Contents
Progress
- Working on adding MobileNet V4
Updates
- [2025-03-12] Finished adding FastViT image classification model by Apple added. The model weights are available at url.
- [2025-02-22] Working (v1) FastViT classification code added.
- [2024-06-24] Released MobileViT v2 - All Image Classification variants.
- [2024-05-15] Fixed MobileViT v1 - Now works will all 3 backends. 🎉🎉
- [2024-05-04] Converted MobileViT to Keras 3 and released weights of all 3 variants.
- Jax backend currently not working, I'm working on a fix.
- Release: https://github.com/veb-101/keras-vision/releases/tag/v0.4
Quick Setup
Stable PyPi Package
pip install -U keras-vision
OR
Latest Git Updates
pip install git+https://github.com/veb-101/keras-vision.git
Models Supported
| # No. | Models | Paper | Additional Materials | Example notebook | Weights URL |
|---|---|---|---|---|---|
| 1 | MobileViT-V1 | MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | Blogpost: Building MobileViT In Keras 3 | Colab link | 🤗 |
| 2 | MobileViT-V2 | Separable Self-attention for Mobile Vision Transformers | -- | Colab link | 🤗 |
| 2 | FastViT | FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization | -- | Colab link | 🤗 |
1 maintainer
Metadata
1 maintainer
Release files for keras-vision 0.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| keras_vision-0.6.3.tar.gz | 35.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| keras_vision-0.6.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 80.6 kB
Release files / keras_vision-0.6.3.tar.gz
| Download URL | keras_vision-0.6.3.tar.gz |
|---|---|
| Size | 35.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d1a6a17ea5a9142eadd80392f2f91ed91ea88b89fbb4a3e9fa7a92251a0654ff
|
|
BLAKE2b-256 checksum How to use checksums |
be90aaa198e92545a08940e56dc17e927a63a0c0584bd2dcc0db7a919987dcda
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.10
|
Release files / keras_vision-0.6.3-py3-none-any.whl
| Download URL | keras_vision-0.6.3-py3-none-any.whl |
|---|---|
| Size | 45.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
31ef85739a78b4025c827c5071a75a244660afd382866e1b9b380e57a2e351f5
|
|
BLAKE2b-256 checksum How to use checksums |
5cbf9219269ab5700ee4e8682b64568ecaa11e7a83edc0b73502f98a0b0c7ed2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.10
|
Security for keras-vision 0.6.3
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.
