tensorflow-research

Goal

The goal of this repository is to research TensorFlow for machine vision industrial usage.
It will provide easy to use methods to train models from scratch and also fine tune them afterwards.

Starting point

To quickly get into the usage you can look into the notebooks, they provide the whole training pipline step by step.

Backbones

Backbones provide you with a ready to use model architectur.

Anomaly detection

Anomaly detection will use a autoencoder approche, the prediction substratced from the original image should show the anomaly.

Segmentation

Unet

Vanilla Unet (original paper)
Custom/Satellite Unet

Class	Group	Backbone	Sample notebook
`ClassificationConv`	Classification	`classification_conv`
	---	---
`AutoEncoderConv`	Anomaly Detection	`auto_encoder_conv`	Choco waffle anomaly detection sample
`AutoEncoderFullConnected`	Anomaly Detection	`auto_encoder_full_connected`
	---	---	---
`SegmentationVanillaUnet`	Segmentation	`segmentation_vanilla_unet`	Wood plate segmentation sample
TODO	Segmentation	`satellite_unet`
TODO	Segmentation	`custom_unet`

License

Light4Code/tensorflow-research

ErrorLooks like something went wrong!

About

Topics

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Languages

Error
Looks like something went wrong!

Packages