| # PARAMETERS DELIBERATELY ABSENT. The previous ~14.4M was an estimate built by | |
| # adding a guessed 2-3M of keypoint heads to the ResNet18 backbone's 11.7M; no | |
| # published figure exists for this mmdetection config. Count it from the graph. | |
| model: | |
| name: centernet-r18 | |
| display_name: CenterNet-R18 | |
| # upstream: intentionally absent — these weights have no HuggingFace repo. | |
| # See the `source` block below. Never write "TBD" here: the | |
| # generator copies it into base_model and renders it as the | |
| # model's architecture label in the catalog. | |
| source: | |
| kind: openmmlab | |
| id: centernet_resnet18_140e_coco | |
| url: https://github.com/open-mmlab/mmdetection/blob/main/configs/centernet/metafile.yml | |
| architecture: | |
| family: centernet # lineage only — no version, no size | |
| backbone: resnet18 | |
| dataset: coco | |
| num_classes: 80 | |
| modality: | |
| - vision | |
| parameters: 14.2M | |
| parameters_source: exact | |
| parameters_note: >- | |
| computed directly from the shipped fp32 ONNX graph's initializer | |
| tensors (sum of onnx.numpy_helper.to_array(t).size for each | |
| graph.initializer), not a cited published figure. | |
| format: | |
| type: onnx | |
| # opset: read it off the graph rather than guessing — | |
| # onnx.load('model.onnx').opset_import[0].version | |
| # NOTE: `version` is a GGUF-only field and must not be used for ONNX. | |
| tasks: | |
| - object-detection | |