focalnet.onnx.json

{
  "format_version": 1,
  "input": {
    "name": "image",
    "shape": [
      1,
      3,
      256,
      256
    ],
    "dtype": "float32",
    "channels": "RGB",
    "mean": [
      0.48500001430511475,
      0.4560000002384186,
      0.4059999883174896
    ],
    "std": [
      0.2290000021457672,
      0.2240000069141388,
      0.22499999403953552
    ],
    "resize": "bilinear-letterbox",
    "padding": 0,
    "orientation": "apply EXIF before resizing",
    "alpha": "composite on black"
  },
  "output": {
    "name": "importance",
    "shape": [
      1,
      1,
      64,
      64
    ],
    "activation": "sigmoid already applied",
    "coordinates": "letterboxed-input"
  },
  "model_config": {
    "backbone": "repvit_m0_9",
    "decoder_channels": 48
  },
  "parameters": 4750625,
  "trained_epochs": 7,
  "reparameterized": false,
  "fusion_max_abs_error": 0.014633774757385254,
  "checkpoint_sha256": "d1942f0652f8ea85f75ffc0cb1bf40d7e70b38e7ad102ab0e6df5c2e07ce52cf",
  "manifest_sha256": {
    "train": "61097ffbf1e03103162dc3b13829feab33aab3927e8b8085f57b304e9a810b56",
    "validation": "1048db2654c8e533875e624a5cc37488b8efd46bf6e1fddb18ca67cebb281063"
  },
  "onnxruntime_verification": {
    "provider": "CPUExecutionProvider",
    "graph_optimization": "ORT_DISABLE_ALL",
    "atol": 0.05,
    "rtol": 0.001
  },
  "confidence": "No calibrated confidence head; importance_peak is an activation statistic.",
  "export_max_abs_error": 0.005077719688415527
}