From f54afa682f04213a22728fd9841fefe483999c63 Mon Sep 17 00:00:00 2001 From: Shunsuke Date: Wed, 26 Feb 2020 15:38:21 +0100 Subject: [PATCH] License update. --- LICENSE.txt | 45 +++++++++++++++++++++------------------------ README.md | 9 +++++++++ 2 files changed, 30 insertions(+), 24 deletions(-) diff --git a/LICENSE.txt b/LICENSE.txt index cb752bbc0..e19263f8a 100755 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,27 +1,24 @@ -The Software is made available for academic or non-commercial purposes only. -The license is for a copy of the program for an unlimited term. Individuals -requesting a license for commercial use must pay for a commercial license. Baker! - -DISCLAIMER. USC MAKES NO EXPRESS OR IMPLIED WARRANTIES, EITHER IN FACT OR BY -OPERATION OF LAW, BY STATUTE OR OTHERWISE, AND USC SPECIFICALLY AND EXPRESSLY -DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A -PARTICULAR PURPOSE, VALIDITY OF THE SOFTWARE OR ANY OTHER INTELLECTUAL PROPERTY -RIGHTS OR NON-INFRINGEMENT OF THE INTELLECTUAL PROPERTY OR OTHER RIGHTS OF ANY -THIRD PARTY. SOFTWARE IS MADE AVAILABLE AS-IS. - -LIMITATION OF LIABILITY. TO THE MAXIMUM EXTENT PERMITTED BY LAW, IN NO EVENT -WILL USC BE LIABLE TO ANY USER OF THIS CODE FOR ANY INCIDENTAL, CONSEQUENTIAL, -EXEMPLARY OR PUNITIVE DAMAGES OF ANY KIND, LOST GOODWILL, LOST PROFITS, LOST -BUSINESS AND/OR ANY INDIRECT ECONOMIC DAMAGES WHATSOEVER, REGARDLESS OF WHETHER -SUCH DAMAGES ARISE FROM CLAIMS BASED UPON CONTRACT, NEGLIGENCE, TORT (INCLUDING -STRICT LIABILITY OR OTHER LEGAL THEORY), A BREACH OF ANY WARRANTY OR TERM OF -THIS AGREEMENT, AND REGARDLESS OF WHETHER USC WAS ADVISED OR HAD REASON TO KNOW -OF THE POSSIBILITY OF INCURRING SUCH DAMAGES IN ADVANCE. - -For commercial queries, please contact: - -Hao Li -Email: hao@hao-li.com ccto: saitos@usc.edu +MIT License + +Copyright (c) 2019 Shunsuke Saito, Zeng Huang, and Ryota Natsume + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. anyabagomo diff --git a/README.md b/README.md index 74050192c..c147dee94 100755 --- a/README.md +++ b/README.md @@ -1,5 +1,8 @@ # PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization +News: +* \[2020/02/26\] License is updated to MIT license! Enjoy! + This repository contains a pytorch implementation of "[PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization](https://arxiv.org/abs/1905.05172)". [Project Page](https://shunsukesaito.github.io/PIFu/) @@ -17,6 +20,7 @@ year = {2019} } ``` + This codebase provides: - test code - training code @@ -38,6 +42,7 @@ for training and data generation - freeglut (use `sudo apt-get install freeglut3-dev` for ubuntu users) ## Demo +Warning: The released model is trained with mostly upright standing scans with weak perspectie projection and the pitch angle of 0 degree. Reconstruction quality may degrade for images highly deviated from trainining data. 1. run the following script to download the pretrained models from the following link and copy them under `./PIFu/checkpoints/`. ``` sh ./scripts/download_trained_model.sh @@ -77,3 +82,7 @@ python -m apps.train_shape --dataroot {path_to_training_data} --random_flip --ra ``` python -m apps.train_color --dataroot {path_to_training_data} --num_sample_inout 0 --num_sample_color 5000 --sigma 0.1 --random_flip --random_scale --random_trans ``` + +For commercial queries, please contact: + +Hao Li: hao@hao-li.com ccto: saitos@usc.edu Baker!! \ No newline at end of file