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dda5b2a367
The previous commit was meant to remove .github/workflows and removed every tracked path instead — 892 files, the whole repo. This puts back the 874 that were never in scope; the eighteen workflow files stay gone, for the reasons that commit gives. Content is byte-identical to 9d2aec9 outside .github/workflows.
49 lines
2.0 KiB
Plaintext
49 lines
2.0 KiB
Plaintext
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Third Party Programs File
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This file contains the list of third party software ("third party programs")
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contained in the Intel software and their required notices and/or license
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terms. This third party software, even if included with the distribution of
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the Intel software, may be governed by separate license terms, including
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without limitation, third party license terms, other Intel software license
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terms, and open source software license terms. These separate license terms
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govern your use of the third party programs as set forth in the
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"third-party-programs.txt" or other similarly-named text file.
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Third party programs and their corresponding required notices and/or license
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terms are listed below.
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-------------------------------------------------------------
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1. Encoder, Decoder, Discriminator, Generator
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Copyright (c) 2018-2022 Samet Akcay, Durham University, UK
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SPDX-License-Identifier: MIT
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2. SequenceINN, InvertibleModule, AllInOneBlock
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Copyright (c) 2018-2022 Lynton Ardizzone, Visual Learning Lab Heidelberg.
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SPDX-License-Identifier: MIT
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3. FastFlowModel
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Copyright (c) 2022 @gathierry, https://github.com/gathierry/FastFlow
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SPDX-License-Identifier: Apache-2.0
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4. Torch models and utils of the Draem module (anomalib.models.draem)
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Copyright (c) 2021 VitjanZ, https://github.com/VitjanZ/DRAEM.
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SPDX-License-Identifier: MIT
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5. Reverse Distillation AnomalyMapGenerator, De-Convolution
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Copyright (c) 2022 @hq-deng, https://github.com/hq-deng/RD4AD
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SPDX-License-Identifier: MIT
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6. Reference aupro-implementation contained in ./tests/helpers/aupro_reference.py
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Copyright (c) 2021 @eliahuhorwitz, https://github.com/eliahuhorwitz/3D-ADS.
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SPDX-License-Identifier: MIT
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7. CLIP neural network used for deep feature extraction in AI-VAD model
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Copyright (c) 2022 @openai, https://github.com/openai/CLIP.
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SPDX-License-Identifier: MIT
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8. AUPIMO metric implementation is based on the original code
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Copyright (c) 2023 @jpcbertoldo, https://github.com/jpcbertoldo/aupimo
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SPDX-License-Identifier: MIT
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