docs: add NOTICE attribution per Apache-2.0 s4(d) (code AND weights)
Browse files
NOTICE
ADDED
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RTMPose-tiny — acaua mirror (pure-PyTorch port)
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=================================================
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This product includes:
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1. PORTED SOURCE CODE: a pure-PyTorch port of the RTMPose architecture
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(located in the acaua repository at src/acaua/adapters/rtmpose/) is a
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derivative work of:
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- OpenMMLab's mmpose implementation
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https://github.com/open-mmlab/mmpose @ commit
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759b39c13fea6ba094afc1fa932f51dc1b11cbf9 — Apache-2.0
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Files derived from:
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mmpose/models/heads/coord_cls_heads/rtmcc_head.py (RTMCCHead)
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mmpose/models/utils/rtmcc_block.py (RTMCCBlock, Scale)
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mmpose/models/utils/transformer.py (ScaleNorm)
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mmpose/codecs/utils/post_processing.py (get_simcc_maximum)
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mmpose/codecs/simcc_label.py (SimCCLabel.decode)
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mmpose/datasets/transforms/topdown_transforms.py (TopdownAffine)
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mmpose/structures/bbox/transforms.py (get_warp_matrix,
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_rotate_point,
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_get_3rd_point)
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- OpenMMLab's mmdetection implementation (CSPNeXt backbone)
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https://github.com/open-mmlab/mmdetection @ commit
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cfd5d3a985b0249de009b67d04f37263e11cdf3d — Apache-2.0
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Files derived from:
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mmdet/models/backbones/cspnext.py
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mmdet/models/backbones/csp_darknet.py (SPPBottleneck)
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mmdet/models/layers/csp_layer.py (CSPLayer, CSPNeXtBlock)
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mmdet/models/layers/se_layer.py (ChannelAttention)
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2. CONVERTED WEIGHTS: the model.safetensors file in this mirror is a
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key-cleaned conversion of the upstream pretrained checkpoint:
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- upstream URL: https://download.openmmlab.com/mmpose/v1/projects/
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rtmposev1/rtmpose-tiny_simcc-aic-coco_pt-aic-coco_
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420e-256x192-cfc8f33d_20230126.pth
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- upstream SHA256: e84eb5b9ee9432259bdd19d6a01156604ba27139ca6373ddb4
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ee7aa290d528e9
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- upstream paper: Jiang et al., "RTMPose: Real-Time Multi-Person Pose
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Estimation based on MMPose", arXiv:2303.07399
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- training data: AI Challenger (AIC) + COCO
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- eval dataset: COCO 17-keypoint (val 68.5 AP)
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Conversion was performed by scripts/convert_rtmpose.py in the acaua
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repository. The conversion only strips training-only buffers
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(data_preprocessor.*); no parameter renames or reshapes are applied,
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so the conversion is reversible and lossless.
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3. BUNDLED DETECTOR: the acaua RTMPoseAdapter at runtime composes with
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CondadosAI/rtmdet_t_coco (a separate mirror with its own NOTICE and
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provenance) to produce a top-down pose pipeline. The detector mirror
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is a pure-PyTorch port of RTMDet-tiny under the same Apache-2.0
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license; see https://huggingface.co/CondadosAI/rtmdet_t_coco/blob/main/
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NOTICE for that mirror's full attribution chain.
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Mirrored on 2026-04-22 by CondadosAI.
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License
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-------
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Licensed under the Apache License, Version 2.0 (the "License"); you may
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not use this file except in compliance with the License. You may obtain
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a copy of the License at:
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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