{ "info": { "author": "wuhuikai", "author_email": "huikaiwu@icloud.com", "bugtrack_url": null, "classifiers": [], "description": "Fast End-to-End Trainable Guided Filter\n=======================================\n\n`[Project] `__\n`[Paper] `__\n`[arXiv] `__\n`[Demo] `__\n`[Home] `__\n\n| Official implementation of **Fast End-to-End Trainable Guided\n Filter**.\n| **Faster**, **Better** and **Lighter** for pixel-wise image\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-pytorch\n\nUsage\n-----\n\n::\n\n from guided_filter_pytorch.guided_filter import FastGuidedFilter\n\n hr_y = FastGuidedFilter(r, eps)(lr_x, lr_y, hr_x)\n\n::\n\n from guided_filter_pytorch.guided_filter import GuidedFilter\n\n hr_y = GuidedFilter(r, eps)(hr_x, init_hr_y)\n\n::\n\n from guided_filter_pytorch.guided_filter import ConvGuidedFilter\n\n hr_y = 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