QUick and DIrty Domain Adaptation
QuDiDA (QUick and DIrty Domain Adaptation)
QuDiDA is a micro library for very naive though quick pixel level image domain adaptation via
Is assumed to be used as image augmentation technique, while was not tested in public benchmarks.
pip install qudida
pip install git+https://github.com/arsenyinfo/qudida
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)
Source image: Target image (style donor): Result with various adaptations:
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