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hecate

Image Segmentation
PyTorch
hecate
experimental
vesuvius-challenge
ink-detection
3d-segmentation
knowledge-distillation
Model card Files
xet
 Community
3
hecate
File size: 3,689 Bytes
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{
  "status": "PASS",
  "checkpoint_sha256": "809f4f10f7cb7afa19b4bee0f7d2ab31edd7e11b664f9f210cc9c17f22fcfe5d",
  "input_sha256": "04224e26f565c4a5c1ff7f018e4904a381e7d0d6a217a6ade09ab6ec313e312a",
  "hecate_sha256": "c232c18a1a86cfb91257a00db13288202bb8ae33732ba26f7291a9b8adb8da59",
  "helper_sha256": "69b28298711a90019e2a4e9ec67a81b287391a9c0231e41edf3374817894c152",
  "export_seconds": 9.94456380000338,
  "rows": [
    {
      "case": "overlap",
      "shape": [
        16,
        96,
        96
      ],
      "max_uint8_difference": 0,
      "different_pixels": 0,
      "pixels": 9216,
      "cpu_seconds": 13.018276199931279,
      "directml_seconds": 3.5383093000855297,
      "tiles": 4,
      "model_forwards": 4,
      "forward_seconds": [
        0.9426679000025615,
        0.8602820000378415,
        0.8697611999232322,
        0.8601702000014484
      ]
    },
    {
      "case": "reverse",
      "shape": [
        16,
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        96
      ],
      "max_uint8_difference": 0,
      "different_pixels": 0,
      "pixels": 9216,
      "cpu_seconds": 12.973447300028056,
      "directml_seconds": 3.476844499935396,
      "tiles": 4,
      "model_forwards": 4,
      "forward_seconds": [
        0.8666426000418141,
        0.8924879000987858,
        0.8558254999807104,
        0.856082099955529
      ]
    },
    {
      "case": "padded_edge",
      "shape": [
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      ],
      "max_uint8_difference": 0,
      "different_pixels": 0,
      "pixels": 2385,
      "cpu_seconds": 3.299313399940729,
      "directml_seconds": 0.9228492999682203,
      "tiles": 1,
      "model_forwards": 1,
      "forward_seconds": [
        0.880084800068289
      ]
    },
    {
      "case": "empty_columns",
      "shape": [
        16,
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      ],
      "max_uint8_difference": 0,
      "different_pixels": 0,
      "pixels": 9216,
      "cpu_seconds": 13.231093699927442,
      "directml_seconds": 3.571005600038916,
      "tiles": 4,
      "model_forwards": 4,
      "forward_seconds": [
        0.8853788999840617,
        0.8660517999669537,
        0.9252147999359295,
        0.8839931000256911
      ]
    },
    {
      "case": "blank_control",
      "shape": [
        16,
        96,
        96
      ],
      "max_uint8_difference": 0,
      "different_pixels": 0,
      "pixels": 9216,
      "cpu_seconds": 0.0044531000312417746,
      "directml_seconds": 0.00914159999229014,
      "tiles": 4,
      "model_forwards": 0,
      "forward_seconds": []
    }
  ],
  "exact_repeat": true,
  "zarr_cli_exact": true,
  "failure_cleanup": true,
  "cpu_fallback_disabled": true,
  "executed_providers": {
    "DmlExecutionProvider": 17
  },
  "environment": {
    "python": "3.11.9",
    "torch": "2.10.0+cpu",
    "os": "Windows 11",
    "processor": "AMD Ryzen 5 8540U",
    "gpu": "Radeon 740M integrated",
    "ram_gib": 16,
    "onnx": "1.23.2",
    "onnxruntime": "1.24.4",
    "cpu_threads": 4
  },
  "scope": "Backend equivalence on a real exposed crop and explicit edge controls; no new text or model-accuracy claim.",
  "cpu_reference_provenance": "CPU references completed in a separate process; exact retained input, checkpoint, source CPU code and images were reused for final DirectML comparison. Export reused after a Windows temporary-mapping cleanup-only change.",
  "fresh_cli_seconds_including_initialization": 5.313350200071,
  "publication_note": "No raw CT or model weights included. fetch_example.py reconstructs the hash-checked input from official chunks."
}