Flax Image Models

Introduction

Flax Image Models (fiml) is a collection of image models with pretrained weights.

Usage

Installation

pip install git+https://github.com/Ino-Ichan/flax-image-models

Docker

You can pull docker container for fiml. See here.

docker pull inoichan/fiml:latest

Create models

import jax
import fiml

rng = jax.random.PRNGKey(0)
rng, model, params = fiml.create_model(rng,
                                       'convnext_tiny',
                                       pretrained=True,
                                       num_classes=100)

inp = np.random.rand(4, 256, 256, 3)
out = model.apply(
    {"params": params},
    inp,
    deterministic=True,
)

print(out.shape)
# (4, 100)

Models

Architectures

• ConvNeXt [paper] [github]

Acknowledgement

• rwightman/pytorch-image-models
• google-research/vision_transformer

License

This project is released under the Apach 2.0 License