RTMDet-m — acaua mirror (pure-PyTorch port)
===========================================

This product includes:

1. PORTED SOURCE CODE: a pure-PyTorch port of the RTMDet architecture
   (located in the acaua repository at src/acaua/adapters/rtmdet/) is a
   derivative work of:

     - open-mmlab/mmdetection
       https://github.com/open-mmlab/mmdetection @ commit cfd5d3a985b0249de009b67d04f37263e11cdf3d
       Apache-2.0
       Files derived from:
         mmdet/models/backbones/cspnext.py
         mmdet/models/necks/cspnext_pafpn.py
         mmdet/models/dense_heads/rtmdet_head.py
         mmdet/models/layers/csp_layer.py
         mmdet/models/layers/se_layer.py (ChannelAttention)
         mmdet/models/backbones/csp_darknet.py (SPPBottleneck)
         mmdet/models/task_modules/prior_generators/point_generator.py
         mmdet/structures/bbox/transforms.py (distance2bbox)
       Plus support utilities ported from open-mmlab/mmcv:
         mmcv/cnn/bricks/conv_module.py (ConvModule)
         mmcv/cnn/bricks/depthwise_separable_conv_module.py (DepthwiseSeparableConvModule)

2. CONVERTED WEIGHTS: the model.safetensors file in this mirror is a
   key-remapped conversion of the upstream pretrained checkpoint:

     - upstream URL:    https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet_m_8xb32-300e_coco/rtmdet_m_8xb32-300e_coco_20220719_112220-229f527c.pth
     - upstream SHA256: 229f527ca88498e8894a778a62a878a322b4a3ea2cae09ea537d34b7e907792b
     - upstream paper:  Lyu et al., "RTMDet: An Empirical Study of Designing
                        Real-Time Object Detectors", arXiv:2212.07784, 2022.

   Conversion was performed by scripts/convert_rtmdet.py in the acaua
   repository. The conversion is lossless (no quantization or pruning)
   and every rename is eager — load_state_dict(strict=True) is the
   correctness gate.

Mirrored on 2026-04-20 by CondadosAI.

License
-------
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.