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Roman Donchenko
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Replace tools/downloader/license.txt with per-model licensing notices
This finally makes it so that all information about the model is contained within that model's directory. Some notes about the changes: * I embedded most of the licenses into the model's documentation pages to make them easily accessible. The exceptions are long licenses (Apache and Creative Commons), which would dominate the documentation page if I embedded them too. I split them off into separate files instead. * Several projects have made trivial modifications to the Apache license. This shouldn't have any legal significance, but to be on the safe side, I included every such modified license into the `licenses` directory as a separate file. * Several models had the wrong license links in the documentation. I fixed those. * `googlenet-v1` even had the wrong license link in `model.yml`. I fixed that too. * I didn't update the documentation for Intel models, since the overall project license already implicitly applies to them.
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‎models/public/Sphereface/Sphereface.md

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## Legal Information
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[LICENSE](https://raw.githubusercontent.com/wy1iu/sphereface/master/LICENSE)
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/wy1iu/sphereface/master/LICENSE):
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```
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MIT License
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Copyright (c) 2017 Weiyang Liu and Yandong Wen
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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```

‎models/public/alexnet/alexnet.md

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## Legal Information
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[https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/readme.md]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/readme.md):
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```
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This model is released for unrestricted use.
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```

‎models/public/brain-tumor-segmentation-0001/brain-tumor-segmentation-0001.md

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## Legal Information
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[https://github.com/lachinov/brats2018-graphlabunn/blob/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://github.com/lachinov/brats2018-graphlabunn/blob/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0.txt](../licenses/APACHE-2.0.txt).

‎models/public/caffenet/caffenet.md

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## Legal Information
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[https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_reference_caffenet/readme.md]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_reference_caffenet/readme.md):
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```
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This model is released for unrestricted use.
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```

‎models/public/ctpn/ctpn.md

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## Legal Information
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[https://raw.githubusercontent.com/eragonruan/text-detection-ctpn/banjin-dev/LICENSE]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/eragonruan/text-detection-ctpn/banjin-dev/LICENSE):
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```
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MIT License
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Copyright (c) 2017 shaohui ruan
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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```

‎models/public/deeplabv3/deeplabv3.md

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## Legal Information
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[https://raw.githubusercontent.com/tensorflow/models/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/models/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TensorFlow.txt](../licenses/APACHE-2.0-TensorFlow.txt).

‎models/public/densenet-121-caffe2/densenet-121-caffe2.md

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## Legal Information
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[https://raw.githubusercontent.com/caffe2/models/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/caffe2/models/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0.txt](../licenses/APACHE-2.0.txt).

‎models/public/densenet-121-tf/densenet-121-tf.md

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## Legal Information
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[https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-DenseNet.txt](../licenses/APACHE-2.0-TF-DenseNet.txt).

‎models/public/densenet-121/densenet-121.md

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## Legal Information
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[https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE):
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```
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Copyright (c) 2016, Zhuang Liu.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name DenseNet nor the names of its contributors may be used to
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endorse or promote products derived from this software without specific
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prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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```

‎models/public/densenet-161-tf/densenet-161-tf.md

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## Legal Information
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[https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-DenseNet.txt](../licenses/APACHE-2.0-TF-DenseNet.txt).

‎models/public/densenet-161/densenet-161.md

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## Legal Information
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[https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE):
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```
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Copyright (c) 2016, Zhuang Liu.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name DenseNet nor the names of its contributors may be used to
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endorse or promote products derived from this software without specific
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prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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```

‎models/public/densenet-169-tf/densenet-169-tf.md

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## Legal Information
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[https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE]()
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/pudae/tensorflow-densenet/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-DenseNet.txt](../licenses/APACHE-2.0-TF-DenseNet.txt).

‎models/public/densenet-169/densenet-169.md

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Object classifier according to ImageNet classes, name - `prob`, shape - `1,1000,1,1`, contains predicted
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probability for each class in logits format
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## License
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[https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE]()
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## Legal Information
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE):
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```
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Copyright (c) 2016, Zhuang Liu.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name DenseNet nor the names of its contributors may be used to
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endorse or promote products derived from this software without specific
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prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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```

‎models/public/densenet-201/densenet-201.md

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## Legal Information
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[https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE]()
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/liuzhuang13/DenseNet/master/LICENSE):
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```
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Copyright (c) 2016, Zhuang Liu.
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this
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list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the name DenseNet nor the names of its contributors may be used to
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endorse or promote products derived from this software without specific
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prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
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ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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```

‎models/public/efficientnet-b0-pytorch/efficientnet-b0-pytorch.md

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## Legal Information
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[LICENSE](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/5e91628ed98250989a7ddd20abfe27385e0493c1/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/5e91628ed98250989a7ddd20abfe27385e0493c1/LICENSE).
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A copy of the license is provided in [APACHE-2.0-PyTorch-EfficientNet.txt](../licenses/APACHE-2.0-PyTorch-EfficientNet.txt).

‎models/public/efficientnet-b0/efficientnet-b0.md

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[LICENSE](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-TPU.txt](../licenses/APACHE-2.0-TF-TPU.txt).

‎models/public/efficientnet-b0_auto_aug/efficientnet-b0_auto_aug.md

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## Legal Information
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[LICENSE](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-TPU.txt](../licenses/APACHE-2.0-TF-TPU.txt).

‎models/public/efficientnet-b5-pytorch/efficientnet-b5-pytorch.md

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[LICENSE](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/a36e2b2cd1bd122a508a6fffeaa7606890f8c882/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/5e91628ed98250989a7ddd20abfe27385e0493c1/LICENSE).
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A copy of the license is provided in [APACHE-2.0-PyTorch-EfficientNet.txt](../licenses/APACHE-2.0-PyTorch-EfficientNet.txt).

‎models/public/efficientnet-b5/efficientnet-b5.md

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## Legal Information
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[LICENSE](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-TPU.txt](../licenses/APACHE-2.0-TF-TPU.txt).

‎models/public/efficientnet-b7-pytorch/efficientnet-b7-pytorch.md

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[LICENSE](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/a36e2b2cd1bd122a508a6fffeaa7606890f8c882/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/rwightman/gen-efficientnet-pytorch/5e91628ed98250989a7ddd20abfe27385e0493c1/LICENSE).
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A copy of the license is provided in [APACHE-2.0-PyTorch-EfficientNet.txt](../licenses/APACHE-2.0-PyTorch-EfficientNet.txt).

‎models/public/efficientnet-b7_auto_aug/efficientnet-b7_auto_aug.md

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[LICENSE](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE)
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The original model is distributed under the
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[Apache License, Version 2.0](https://raw.githubusercontent.com/tensorflow/tpu/master/LICENSE).
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A copy of the license is provided in [APACHE-2.0-TF-TPU.txt](../licenses/APACHE-2.0-TF-TPU.txt).

‎models/public/face-recognition-mobilefacenet-arcface/face-recognition-mobilefacenet-arcface.md

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## Legal Information
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[LICENSE](https://raw.githubusercontent.com/deepinsight/insightface/master/LICENSE)
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The original model is distributed under the following
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[license](https://raw.githubusercontent.com/deepinsight/insightface/master/LICENSE):
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```
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MIT License
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Copyright (c) 2018 Jiankang Deng and Jia Guo
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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```

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