Flax Vision Models

A repository of Deep Learning models in Flax pre-trained on Imagenet. Most of the models instead of being trained from scratch have been ported from exiting repositories such as tf.keras.applications and PyTorch Image Models.

Usage

Installation

Sample Inference Example

Pre-trained Models

VGG Models

Model	Original Source	Paper
`flax_models.vgg.build_vgg16`	`tf.keras.applications.vgg16.VGG16`	Very Deep Convolutional Networks for Large-Scale Image Recognition
`flax_models.vgg.build_vgg19`	`tf.keras.applications.vgg19.VGG19`	Very Deep Convolutional Networks for Large-Scale Image Recognition

Metadata

Release files for flax-vision-models 0.0.3

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Source distribution for flax-vision-models 0.0.3
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Built distribution (wheel)

Table of built distributions (wheels) for flax-vision-models 0.0.3
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flax_vision_models-0.0.3-py3-none-any.whl 6.2 kB Apr 18, 2022 Without provenance	Python 3	none	any	Details for flax_vision_models-0.0.3-py3-none-any.whl

Total release size: 11.1 kB

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Download URL	flax-vision-models-0.0.3.tar.gz
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Uploaded via	`twine/4.0.0 CPython/3.10.4`

Release files / flax_vision_models-0.0.3-py3-none-any.whl

Download URL	flax_vision_models-0.0.3-py3-none-any.whl
Size	6.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8619c6476e50362f9b0334f363d0d11c085ee9edf508ff7fa4673a05e3caed15`
BLAKE2b-256 checksum How to use checksums	`c35836daed067a458ac5e17d1722364ec6113a38d8a8ecc6827e13f477f23a2c`
Upload date	Apr 18, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.10.4`

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This release

0.0.3 This release

Apr 18, 2022 2 release files No provenance

0.0.2