| LibreEfficientDet third-party attribution |
| ========================================= |
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| The EfficientDet D0-D4 architecture, TensorFlow-compatible EfficientNet |
| backbones, BiFPN topology, prediction heads, anchor generation, checkpoint |
| configuration, and evaluation transform are derived from: |
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| Repository: https://github.com/rwightman/efficientdet-pytorch |
| Commit: c6dff775a36cea0bf9b76c58e59f936411c5ce01 |
| Release: effdet 0.4.1 |
| License: Apache License 2.0 |
| Copyright: Copyright 2020 Ross Wightman |
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| The native EfficientNet block structure and timm-compatible parameter names |
| also follow: |
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| Repository: https://github.com/huggingface/pytorch-image-models |
| Version: v1.0.28 |
| Commit: 8ef73809f622e0031bd7f4940265734aef8b9978 |
| License: Apache License 2.0 |
| Copyright: Ross Wightman and the timm contributors |
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| The original EfficientDet TensorFlow implementation is from Google Research: |
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| Repository: https://github.com/google/automl/tree/master/efficientdet |
| BiFPN source commit: 56815c9986ffd4b508fe1d68508e268d129715c1 |
| Anchor source commit: 6f6694cec1a48cdb33d5d1551a2d5db8ad227798 |
| License: Apache License 2.0 |
| Copyright: Copyright 2020 Google Research |
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| Official D0-D4 COCO checkpoints are unmodified learned tensors from the |
| ``rwightman/efficientdet-pytorch`` v0.1 GitHub release. That Apache-2.0 |
| project supplies no checkpoint-specific license, so the redistribution basis |
| is Apache-2.0 implied by the releasing project rather than a separate explicit |
| weight grant. Converted files add LibreYOLO metadata only. |
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| No source from the LGPL-licensed |
| ``zylo117/Yet-Another-EfficientDet-Pytorch`` project was consulted or used. |
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| The Apache License 2.0 text is distributed at |
| ``licenses/Apache-2.0.txt``. |
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