run 2026-11-06_v7-crop-m: registered

models/registry/yolo26m-seg-v7-crop-m-2026-11-06/metadata.json

@@ -0,0 +1,34 @@
+{
+  "model_id": "yolo26m-seg-v7-crop-m-2026-11-06",
+  "family": "yolo26m",
+  "task": "segmentation",
+  "training_date": "2026-11-06",
+  "run": "2026-11-06_v7-crop-m",
+  "dataset": "dataset/2026-11-04_v7crop",
+  "base_weights": "models/base/yolo26m-seg.pt",
+  "hyperparams": {
+    "epochs": 400,
+    "patience": 50,
+    "imgsz": 640,
+    "batch": 16,
+    "device": "0",
+    "overlap_mask": false,
+    "scale": 0.7,
+    "translate": 0.15,
+    "mosaic": 0.5,
+    "close_mosaic": 10,
+    "fliplr": 0,
+    "flipud": 0.3,
+    "shear": 5.0,
+    "perspective": 0.0,
+    "mask_ratio": 1
+  },
+  "export_formats": [
+    "pt"
+  ],
+  "metrics": null,
+  "gate": {
+    "rule": "none",
+    "note": "registered with --no-gate"
+  }
+}

runs/2026-11-06_v7-crop-m/latency.json

@@ -0,0 +1 @@
+{"weights": "runs/2026-11-06_v7-crop-m/ultralytics/train/weights/best.pt", "frames": 150, "imgsz": 640, "infer_scale": 0.5, "half": true, "ms_median": 7.65, "ms_p90": 8.9, "ms_max": 11.59, "fps_median": 130.8, "device": "0", "backend": "pytorch", "gpu": "NVIDIA GB10", "ultralytics": "8.4.160", "torch": "2.14.0+cu130"}

runs/2026-11-06_v7-crop-m/metrics.json

@@ -0,0 +1,20 @@
+{
+  "overall": null,
+  "gate": {
+    "rule": "none",
+    "note": "registered with --no-gate"
+  },
+  "training": {
+    "epochs_run": 266,
+    "precision(B)": 0.63266,
+    "recall(B)": 0.60361,
+    "mAP50(B)": 0.58968,
+    "mAP50-95(B)": 0.41336,
+    "precision(M)": 0.62089,
+    "recall(M)": 0.5904,
+    "mAP50(M)": 0.5732,
+    "mAP50-95(M)": 0.40437
+  },
+  "version": "yolo26m-seg-v7-crop-m-2026-11-06",
+  "measured_at": null
+}

runs/2026-11-06_v7-crop-m/run.json

@@ -2,18 +2,54 @@
   "id": "2026-11-06_v7-crop-m",
   "dataset": "dataset/2026-11-04_v7crop",
   "base_weights": "models/base/yolo26m-seg.pt",
-  "status": "exported",
+  "status": "registered",
   "created": "2026-11-06T03:14:08",
   "created_by": "jungfrau@mx-spark-01",
-  "hyperparams": {},
-  "version": null,
-  "metrics": {},
+  "hyperparams": {
+    "epochs": 400,
+    "patience": 50,
+    "imgsz": 640,
+    "batch": 16,
+    "device": "0",
+    "overlap_mask": false,
+    "scale": 0.7,
+    "translate": 0.15,
+    "mosaic": 0.5,
+    "close_mosaic": 10,
+    "fliplr": 0,
+    "flipud": 0.3,
+    "shear": 5.0,
+    "perspective": 0.0,
+    "mask_ratio": 1
+  },
+  "version": "yolo26m-seg-v7-crop-m-2026-11-06",
+  "metrics": {
+    "f1": null,
+    "mean_mask_iou": null,
+    "gate_pass": null,
+    "baseline": null,
+    "measured_at": "2026-11-06T21:55:56"
+  },
   "history": [
     {
       "status": "exported",
       "at": "2026-11-06T03:14:08",
       "by": "jungfrau@mx-spark-01",
       "note": "loop-head crop model (yolo26m) for the studio second pass on the v7 pool: crops 1.6x the face, min 512 px, head classes only; promoted recipe; no gold gate, measured as a two-pass behind the first-pass models, Spark"
+    },
+    {
+      "status": "training",
+      "at": "2026-11-06T03:14:08",
+      "by": "jungfrau@mx-spark-01",
+      "note": "train_run.py"
+    },
+    {
+      "status": "registered",
+      "at": "2026-11-06T21:55:56",
+      "by": "jungfrau@mx-spark-01",
+      "note": "--no-gate: no gold measure"
     }
-  ]
+  ],
+  "host": "mx-spark-01",
+  "started": "2026-11-06T03:14:08"
 }

runs/README.md

@@ -33,6 +33,7 @@ Generated by `python tools/ledger.py render`; do not edit by hand.
 | 2026-11-04_v7-s-noflip-mask1 | gate_failed | dataset/2026-11-04_v7 | models/base/yolo26s-seg.pt | yolo26s-seg-v7-s-noflip-mask1-2026-11-05 | 0.791 | 0.874 | no | 2026-11-05T05:26 |
 | 2026-11-05_v7-crop-s | registered | dataset/2026-11-04_v7crop | models/base/yolo26s-seg.pt | yolo26s-seg-v7-crop-s-2026-11-05 | - | - | - | 2026-11-05T14:01 |
 | 2026-11-05_v7-noflip-mask1 | promoted | dataset/2026-11-04_v7 | models/base/yolo26n-seg.pt | yolo26n-seg-v7-noflip-mask1-2026-11-06 | 0.791 | 0.879 | yes | 2026-11-06T03:13 |
+| 2026-11-06_v7-crop-m | registered | dataset/2026-11-04_v7crop | models/base/yolo26m-seg.pt | yolo26m-seg-v7-crop-m-2026-11-06 | - | - | - | 2026-11-06T21:55 |
 
 States: exported → queued → training → measured → registered → gate_passed → gate_failed → promoted → deployed (or aborted).
 
@@ -268,3 +269,9 @@ States: exported → queued → training → measured → registered → gate_pa
 - 2026-11-06T03:13:57 · measured · jungfrau@mx-spark-01
 - 2026-11-06T03:13:57 · gate_passed · jungfrau@mx-spark-01 — {"baseline": "/home/jungfrau/AareLC_train/models/registry/yolo26s-seg-v5-s-noflip-mask1-2026-10-25/gold_report.json", "f1_delta": -0.0052, "mask_iou_delta": 0.0096, "mask_score": 0.6901, "mask_score_baseline": 0.6805, "matched_only_iou_delta": -0.005, "class_f1_delta": {"loop_all": -0.0038, "pin": -0.0143}, "pass_point_rule": false, "rule": "paired bootstrap", "bootstrap": {"frames": 337, "mounts": 311, "draws": 2000, "f1": {"delta": -0.0052, "lo": -0.0215, "hi": 0.0112, "win": 0.27}, "mask_score": {"delta": 0.0096, "lo": -0.0032, "hi": 0.0225, "win": 0.926}}, "pass": true}
 - 2026-11-06T03:13:57 · promoted · jungfrau@mx-spark-01 — by the gate
+
+## 2026-11-06_v7-crop-m
+
+- 2026-11-06T03:14:08 · exported · jungfrau@mx-spark-01 — loop-head crop model (yolo26m) for the studio second pass on the v7 pool: crops 1.6x the face, min 512 px, head classes only; promoted recipe; no gold gate, measured as a two-pass behind the first-pass models, Spark
+- 2026-11-06T03:14:08 · training · jungfrau@mx-spark-01 — train_run.py
+- 2026-11-06T21:55:56 · registered · jungfrau@mx-spark-01 — --no-gate: no gold measure