Metadata-Version: 2.1
Name: torchvision4ad
Version: 0.1.0
Summary: torchvision for anomaly detection
Home-page: https://github.com/A03ki/torchvision4ad
Author: A03ki
Author-email: a03ki04@gmail.com
License: MIT
Description: # torchvision for Anomaly Detection
        
        You can use the MVTec Anomaly Detection Dataset.
        
        ## Installation
        
        pip:
        
        ```bash
        $ pip install torchvision4ad
        ```
        
        From source:
        
        ```bash
        $ python setup.py install
        ```
        
        ## Usage
        
        You can use one of the MVTec AD Dataset names {'bottle', 'cable', 'capsule', 'carpet', 'grid', 'hazelnut', 'leather', 'metal_nut', 'pill', 'screw', 'tile', 'toothbrush', 'transistor', 'wood', 'zipper'}.
        
        ```python
        from torchvision4ad.datasets import MVTecAD
        
        
        root = "mvtec_ad"
        dataset_name = "bottle"
        mvtec_ad = MVTecAD(root, dataset_name, train=True, download=True)
        for (img, target) in mvtec_ad:
            ...
        ```
        
        Of course, you can also give a function/transform takes in an PIL image and returns a transformed version.
        
        ```python
        import torchvision.transforms as transforms
        
        from torchvision4ad.datasets import MVTecAD
        
        
        transform = transforms.Compose([transforms.Resize([64, 64]),
                                        transforms.ToTensor()])
        mvtec_ad = MVTecAD("mvtec_ad", "bottle", train=True, transform=transform, download=True)
        ```
        
Keywords: torchvision anomaly detection
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
