Metadata-Version: 2.1
Name: autolabel
Version: 0.0.1
Summary: Autolabel is an image labeling tool using Neural Network
Home-page: https://github.com/walwe/autolabel
Author: walwe
License: UNKNOWN
Description: # Autolabel
        
        Autolabel is an image labeling tool.
        Currently images are labeled using [ResNet18-152](https://arxiv.org/abs/1512.03385) implemented by [pytorch](https://pytorch.org/hub/pytorch_vision_resnet/).
        Autolabel can be used as a cli tool or as a library.
        
        ## Installation
        ```
        python setup.py install
        ```
        
        ## Command line usage
        See `--help` for a command overview
        ```
        Usage: autolabel [OPTIONS] [IMAGES]...
        
        Options:
          --batch-size INTEGER
          --sep TEXT                      Separator
          --top INTEGER
          -o, --output FILENAME           Output file
          -m, --model [resnet18|resnet34|resnet50|resnet101|resnet152]
          --help                          Show this message and exit.
        ```
        
        In the simplest form this mean:
        ```bash
        autolabel image.jpg
        ```
        
        Autolabel supports reading file names from STDIN:
        ```bash
        find /myimages -type f -iname '*.jpg' | autolabel
        ```
        
        
        ## Library usage
        ```python
        from autolabel.image import ImageListDataset
        from autolabel.classifier.resnet import Resnet18Classifier
        from pathlib import Path
        
        classifier = Resnet18Classifier()
        images = [Path('/path/to/image.jpg'), Path('/path/to/another/image.png')]
        dataset = ImageListDataset(images)
        res = classifier.predict(dataset, top=top)
        for p, decoded in res.items():
            print(p, decoded)
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
