Metadata-Version: 2.1
Name: qudida
Version: 0.0.4
Summary: QUick and DIrty Domain Adaptation
Home-page: https://github.com/arsenyinfo/qudida
License: UNKNOWN
Description: 
        # QuDiDA (QUick and DIrty Domain Adaptation)
        
        QuDiDA is a micro library for very naive though quick pixel level image domain adaptation via `scikit-learn` transformers.
        Is assumed to be used as image augmentation technique, while was not tested in public benchmarks. 
        
        ## Installation
        ```
        pip install qudida
        ```
        or
        ```
        pip install git+https://github.com/arsenyinfo/qudida
        ```
        
        ## Usage 
        ```
        import cv2
        
        from sklearn.decomposition import PCA
        from qudida import DomainAdapter
        
        adapter = DomainAdapter(transformer=PCA(n_components=1), ref_img=cv2.imread('target.png'))
        source = cv2.imread('source.png')
        result = adapter(source)
        cv2.imwrite('../result.png', result)
        ```
        
        ## Example 
        Source image: 
        ![source](source.png)
        Target image (style donor):
        ![target](target.png)
        Result with various adaptations:
        ![result](result.gif)
        
Keywords: Machine Learning,Computer Vision
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5.0
Description-Content-Type: text/markdown
