{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"QuDiDA performs pixel-level image domain adaptation using scikit-learn transformers, allowing you to adjust image style or appearance to match a reference image.","skillfed_tags":["domain-adaptation","image-augmentation","computer-vision"],"use_cases":["Augment training datasets by adapting source images to match target domain appearance before model training.","Quick style transfer between images using decomposition-based transformers without deep learning.","Preprocessing step to reduce visual domain shift in computer vision pipelines.","Rapid prototyping of domain adaptation ideas without heavy dependencies."],"what_it_does":"QuDiDA is a lightweight library for adapting image appearance at the pixel level by applying scikit-learn transformers to match a reference image's style. It wraps numpy, scikit-learn, and opencv-python-headless to enable quick, naive domain adaptation\u2014treating it as an image augmentation technique rather than a production-grade solution.\n\nThe library works by taking a source image and a reference image, then using a scikit-learn transformer (such as PCA or other decomposition methods) to adjust the source image's pixel values to align with the target's characteristics. It is designed for speed and simplicity over accuracy, and the author notes it has not been tested in public benchmarks.","worth_installing":"Yes, if you need a lightweight, quick pixel-level domain adaptation tool for prototyping or augmentation and are comfortable with dormant maintenance. No, if you require active support, production-grade accuracy, or a clearly licensed library. Verify the license in the repository first."},"id":"qudida","links":{"html":"https://skillfed.io/packages/qudida","md":"https://skillfed.io/packages/qudida.md","pypi":"https://pypi.org/project/qudida/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2021-08-09","license_spdx":null,"license_treatment":"unclear","name":"qudida","python_support":"supports_current","summary":"QUick and DIrty Domain Adaptation"},"popularity":{"monthly_downloads":539552,"position":6107,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.4"}