Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Minor fix: Update folder dataset + notebooks link #338

Merged
merged 4 commits into from
Jun 1, 2022
Merged

Minor fix: Update folder dataset + notebooks link #338

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
e5f71b5
Update folder dataset + notebooks link
ashwinvaidya17 May 31, 2022
12ea388
update readme
ashwinvaidya17 May 31, 2022
a84319b
Upgrade wandb version (#340)
ashwinvaidya17 May 31, 2022
659e4a8
Fix torchmetrics to v0.8
samet-akcay Jun 1, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 10 additions & 3 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,13 @@ ___

To get an overview of all the devices where `anomalib` as been tested thoroughly, look at the [Supported Hardware](https://openvinotoolkit.github.io/anomalib/#supported-hardware) section in the documentation.

### Jupyter Notebooks

For getting started with a Jupyter Notebook, please refer to the [Notebooks](./notebooks) folder of this repository. Additionally, you can refer to a few created by the community:

- [Google Colab](https://colab.research.google.com/drive/1K4a4z2iZGBNhWdmt9Aqdld7kTAxBfAmi?usp=sharing) by @bth5
- [Kaggle](https://www.kaggle.com/code/ipythonx/mvtec-ad-anomaly-detection-with-anomalib-library) by @innat

### PyPI Install

You can get started with `anomalib` by just using pip.
Expand Down Expand Up @@ -110,13 +117,13 @@ dataset:
name: <name-of-the-dataset>
format: folder
path: <path/to/folder/dataset>
normal: normal # name of the folder containing normal images.
abnormal: abnormal # name of the folder containing abnormal images.
normal_dir: normal # name of the folder containing normal images.
abnormal_dir: abnormal # name of the folder containing abnormal images.
normal_test_dir: null # name of the folder containing normal test images.
task: segmentation # classification or segmentation
mask: <path/to/mask/annotations> #optional
extensions: null
split_ratio: 0.2 # ratio of the normal images that will be used to create a test split
seed: 0
image_size: 256
train_batch_size: 32
test_batch_size: 32
Expand Down
2 changes: 1 addition & 1 deletion anomalib/data/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@ def get_datamodule(config: Union[DictConfig, ListConfig]) -> LightningDataModule
mask_dir=config.dataset.mask,
extensions=config.dataset.extensions,
split_ratio=config.dataset.split_ratio,
seed=config.dataset.seed,
seed=config.project.seed,
image_size=(config.dataset.image_size[0], config.dataset.image_size[1]),
train_batch_size=config.dataset.train_batch_size,
test_batch_size=config.dataset.test_batch_size,
Expand Down