| RTMDet-l — acaua mirror (pure-PyTorch port) |
| =========================================== |
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| This product includes: |
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| 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: |
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| - 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) |
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| 2. CONVERTED WEIGHTS: the model.safetensors file in this mirror is a |
| key-remapped conversion of the upstream pretrained checkpoint: |
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| - upstream URL: https://download.openmmlab.com/mmdetection/v3.0/rtmdet/rtmdet_l_8xb32-300e_coco/rtmdet_l_8xb32-300e_coco_20220719_112030-5a0be7c4.pth |
| - upstream SHA256: 5a0be7c4a8123d1e634ce09b08682af373f503de2040e1532d254791f9332cec |
| - upstream paper: Lyu et al., "RTMDet: An Empirical Study of Designing |
| Real-Time Object Detectors", arXiv:2212.07784, 2022. |
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| 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. |
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| Mirrored on 2026-04-20 by CondadosAI. |
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| 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 |
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| 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. |
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|
