mdb

LICENSE.md

@@ -0,0 +1,25 @@
+Learning Representations And Generative Models For 3D Point Clouds
+
+Copyright (c) 2017, Geometric Computation Group of Stanford University
+
+The MIT License (MIT)
+
+Copyright (c) 2017 Panos Achlioptas
+
+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.

README.md

@@ -61,7 +61,8 @@ The downloading script will download <a href="http://web.stanford.edu/~ericyi/pr
 Then you can run `train.py` and `test.py` in the `part_seg` folder for training and testing (computing mIoU for evaluation). -->
 
 ### License
-Our code is released under MIT License (see LICENSE file for details).
+This project is licensed under the terms of the MIT license (see LICENSE.md for details).
+
 
 <!-- ### TODO
 Add test script for evaluation on OOS shape or point cloud data. -->