Attention!: This repo is not ready! Work in progress🚧
An unofficial implementation of the architecture of FastFlow (Jiawei Yu et al.). Starting from this implementation of Differnet by Marco Rudolph, I'm trying to create an easy to use implementation of FastFlow.
Python version >= 3.8
If you use neptune, create a file named neptuneparams.py
and insert this code
project="insert_name_of_neptune_project_here"
api_token="inset_token_here"
These parameters are generated when you create a project on neptune, and you can find them there.
If you are not interested in using neptune, you can comment the neptune code and the import statement in train.py
.
This project assumes that you have the mvtec dataset in the following path structure:
- data:
- mvtec:
- hazelnut
- toothbush
- ...