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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:
Repository: https://github.com/rwightman/efficientdet-pytorch
Commit: c6dff775a36cea0bf9b76c58e59f936411c5ce01
Release: effdet 0.4.1
License: Apache License 2.0
Copyright: Copyright 2020 Ross Wightman
The native EfficientNet block structure and timm-compatible parameter names
also follow:
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
The original EfficientDet TensorFlow implementation is from Google Research:
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
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.
No source from the LGPL-licensed
``zylo117/Yet-Another-EfficientDet-Pytorch`` project was consulted or used.
The Apache License 2.0 text is distributed at
``licenses/Apache-2.0.txt``.
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