# 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: intentionally absent — see the note above. Fill it with the
  #             exact count instead of an estimate:
  #   import onnx; from onnx import numpy_helper
  #   m = onnx.load('model.onnx')
  #   sum(numpy_helper.to_array(t).size for t in m.graph.initializer)
  parameters_source: unknown

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