Metadata-Version: 2.1
Name: augbuilder
Version: 0.0.3
Summary: A No-code solution to create the images transformation pipeline.
Home-page: UNKNOWN
Author: 7bits
Author-email: aloha@7bits.it
License: MIT
Project-URL: source, https://gitlab.7bits.it/internship-2020/ml-framework/augmentation-pipeline-builder
Project-URL: demo site, https://augbuilder.herokuapp.com/
Description: # AugBuilder
        
        [![PyPI version](https://badge.fury.io/py/augbuilder.svg)](https://badge.fury.io/py/augbuilder)
        
        **A No-code solution to create the images transformation pipelin.**
        
        - Installed as a pip package.
        - Runs in a browser.
        - Uses [Albumentations](https://albumentations.ai/) library to apply transformations.
        - **Benchmarks** the pipeline.
        - Generates a YAML config and a tiny chunk of python code to **integrate with PyTorch** code.
        
        ![Interface image](https://raw.githubusercontent.com/7bits/augbuilder/master/docs/images/screenshot_1.png)
        
        > Powered by [Albumentations](https://albumentations.ai/) and [Streamlit](https://streamlit.io/).
        
        ## WIP
        
        Work still in progress.
        We'll appreciate any feedback from the community: bug-report, feature-request, pull-request.
        
        You can leave [anonimous feedback here](https://forms.gle/VGkYs4fiLWDexBGV9).
        
        ## Installation
        
        You need python 3.6+ and [pip](https://pip.pypa.io/en/stable/installing/) to install the app.
        
        ```shell
        pip install augbuilder
        ```
        
        ## Usage
        
        ### Run the app
        
        Run `augbuilder` from the terminal.
        
        After a few seconds the browser will open the page [localhost:8501](http://localhost:8501).
        
        To stop the application press the `ctrl+c` combination in the terminal.
        
        ### Step by step guide
        
        Watch this demo video of usage.
        
        [![youtube video](https://raw.githubusercontent.com/7bits/augbuilder/master/docs/images/video_preview.png)](https://youtu.be/SVppY2Kobm0)
        
        1. Drop an image to the upload area.
        2. Use dropdown on left side to select transformations.
        3. Configure transformations below the list of dropdowns.
        4. Random results are shown in the main area.
        5. To regenerate results click "Refresh images" button.
        6. Click "Download config" to get the yaml config and a python integration script.
        
        ### How to use ONE-OF
        
        Select oneof in list if you want to add this into you transformation list.
        Then you can add different transformations in it.
        To close oneof select StopOneOf.
        Please, don't select THE SAME transformation, it can caused some errors which will be removed later.
        
        ### Pipeline config example
        
        ```yaml
        RandomResizedCrop:
            height: 299
            width: 299
            scale: (0.24, 1.0)
            ratio: (0.75, 1.3333333333333333)
            interpolation: 0
        Flip:
        Transpose:
        OneOf:
            MotionBlur: {'blur_limit': (3, 53)}
            Blur: {'blur_limit': (3, 22)}
        ShiftScaleRotate:
            shift_limit: (-0.06, 0.06)
            scale_limit: (-0.1, 0.1)
            rotate_limit: (-90, 90)
            interpolation: 0
            border_mode: 3
            value: [0, 0, 0]
        HueSaturationValue:
            hue_shift_limit: (-20, 20)
            sat_shift_limit: (-30, 30)
            val_shift_limit: (-20, 20)
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
