Upload blinkcnn.onnx.json with huggingface_hub

blinkcnn.onnx.json

@@ -0,0 +1,54 @@
+{
+  "model_id": "blinkcnn-onnx",
+  "generation": "v2",
+  "runtime": "onnx",
+  "opset": 17,
+  "inputs": [
+    "crops"
+  ],
+  "outputs": [
+    "sequence"
+  ],
+  "image_size": 64,
+  "feature_dim": null,
+  "normalisation": {
+    "mean": [
+      0.0,
+      0.0,
+      0.0
+    ],
+    "std": [
+      1.0,
+      1.0,
+      1.0
+    ]
+  },
+  "normalisation_note": "ImageNet standardisation lives INSIDE the graph (EyeEncoder's pixel_mean/pixel_std buffers). Callers pass raw [0, 1] crops. Applying ImageNet externally as well normalises twice: the model still runs and still returns plausible probabilities, silently degraded.",
+  "operating_point": {
+    "threshold": 0.53,
+    "low_ratio": 0.25
+  },
+  "source_checkpoint": "blinkcnn.pt",
+  "source_sha256": "dbac20bbacbd805ba09b03aaded070cdfc177657c1e0ef1eedb024bb8ceec82f",
+  "parity": {
+    "lengths": [
+      1,
+      15,
+      30
+    ],
+    "probes": [
+      "uniform",
+      "gaussian",
+      "constant"
+    ],
+    "rtol": 0.001,
+    "atol": 1e-05,
+    "max_deviation": {
+      "uniform": 1.7881393432617188e-06,
+      "gaussian": 2.562999725341797e-06,
+      "constant": 4.544854164123535e-07
+    },
+    "detector_max_deviation": 4.76837158203125e-07
+  },
+  "traced_guard_dropped": "collate.check_eye_images validates rank and shape in Python; the tracer folds it away, so the graph does not re-check its input."
+}