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        "description": "Fast End-to-End Trainable Guided Filter\n=======================================\n\n`[Project] <http://wuhuikai.me/DeepGuidedFilterProject>`__\n`[Paper] <http://wuhuikai.me/DeepGuidedFilterProject/deep_guided_filter.pdf>`__\n`[arXiv] <https://arxiv.org/abs/1803.05619>`__\n`[Demo] <http://wuhuikai.me/DeepGuidedFilterProject#demo>`__\n`[Home] <http://wuhuikai.me>`__\n\n| Official implementation of **Fast End-to-End Trainable Guided\n  Filter**.\n| **Faster**, **Better** and **Lighter** for image processing and dense\n  prediction.\n\nPaper\n-----\n\n| **Fast End-to-End Trainable Guided Filter**\n| Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang\n| CVPR 2018\n\nInstall\n-------\n\n::\n\n    pip install guided-filter-tf\n\nUsage\n-----\n\n::\n\n    from guided_filter_tf.guided_filter import fast_guided_filter\n\n    hr_y = fast_guided_filter(lr_x, lr_y, hr_x, r, eps, nhwc)\n\n::\n\n    from guided_filter_tf.guided_filter import guided_filter\n    hr_y = guided_filter(hr_x, init_hr_y, r, eps, nhwc)\n\nCitation\n--------\n\n::\n\n    @inproceedings{wu2017fast,\n      title     = {Fast End-to-End Trainable Guided Filter},\n      author    = {Wu, Huikai and Zheng, Shuai and Zhang, Junge and Huang, Kaiqi},\n      booktitle = {CVPR},\n      year = {2018}\n    }\n\n\n",
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