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LICENSE-OASIS.txt
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LICENSE-OASIS.txt
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OASIS, Copyright (C) 2021-2022 Naver Corporation, is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.
A summary of the CC BY-NC-SA 4.0 license is located here:
https://creativecommons.org/licenses/by-nc-sa/4.0/
The CC BY-NC-SA 4.0 license is located here:
https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
**************************************************************************
SEE NOTICES BELOW CONCERNING SOFTWARE FILES (PART 1) AND DATASETS (PART 2):
**************************************************************************
-----------------------------------------------------------------------
PART 1: SEE NOTICES BELOW WITH RESPECT TO THE FOLLOWING SOFTWARE FILES:
-----------------------------------------------------------------------
(A) /deeplab.py,
(B) /dataset/cityscapes_dataset.py,
(C) /dataset/gta5_dataset.py,
(D) /metrics_helpers.py,
(E) /train_on_source.py,
(F) /image_helpers.py,
(G) /dataset/cityscapes_list/info.json,
(H) /dataset/gta5_list/train.txt.
(I) /utils/loss.py.
(J) /style-transfer/utils/core.py
(K) /style-transfer/utils/io.py
(L) /style-transfer/model.py
(M) /style-transfer/transfer.py
[1] GENERAL NOTICE WITH RESPECT TO THE FILES (A)-(M):
THE ORIGINAL COPYRIGHT NOTICE AND PERMISSION NOTICE FOR THESE FILES AVAILABLE HERE IS REPRODUCE BELOW:
https://github.com/wasidennis/AdaptSegNet
Paper:
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai*, Wei-Chih Hung*, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang and Manmohan Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (spotlight) (* indicates equal contribution).
Acknowledgment:
This code is heavily borrowed from Pytorch-Deeplab [https://github.com/speedinghzl/Pytorch-Deeplab].
Note:
The model and code are available for non-commercial research purposes only.
[2] SPECIFIC NOTICE WITH RESPECT TO THE FILES (A)-(M):
(A) /deeplab.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/model/deeplab.py
(B) /dataset/cityscapes_dataset.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/dataset/cityscapes_dataset.py
(C) /dataset/gta5_dataset.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/dataset/gta5_dataset.py
(D) /metrics_helpers.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/compute_iou.py
(E) /train_on_source.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/train_gta2cityscapes_multi.py
(F) /image_helpers.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/evaluate_cityscapes.py
(G) /dataset/cityscapes_list/info.json: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/dataset/cityscapes_list/info.json
(H) /dataset/gta5_list/train.txt: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/dataset/gta5_list/train.txt
(I) /utils/loss.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/wasidennis/AdaptSegNet/blob/master/utils/loss.py
(J) /style-transfer/utils/core.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/NVIDIA/FastPhotoStyle/blob/master/photo_wct.py
(K) /style-transfer/utils/io.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/NVIDIA/FastPhotoStyle/blob/master/photo_wct.py
(L) /style-transfer/model.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/clovaai/WCT2/blob/master/model.py
(M) /style-transfer/transfer.py: This software is being redistributed in a modified form. The original form is available here:
https://github.com/clovaai/WCT2/blob/master/transfer.py
----------------------------------------------------------------
PART 2: SEE NOTICES BELOW WITH RESPECT TO THE FOLLOWING DATASETS:
----------------------------------------------------------------
The following datasets, which are not being distributed herewith, were used to train one or more of the models distributed with the software:
(A) ACDC Dataset: see https://acdc.vision.ee.ethz.ch
made available under the following license: https://acdc.vision.ee.ethz.ch/license
(B) Cityscapes Dataset: see https://www.cityscapes-dataset.com/
made available under the following license: https://www.cityscapes-dataset.com/license/
(C) SYNTHIA Dataset: see http://synthia-dataset.net/
made available under the following license: http://synthia-dataset.net/terms-of-use/
(D) GTA5 Dataset: see https://playing-for-benchmarks.org/
made available under the following license: https://playing-for-benchmarks.org/download/
Also see: "Playing for Benchmarks", by Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun, published on arXiv as 1709.07322.