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run
string
input
dict
params
dict
total_raw_detections
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by_class
dict
detections_per_frame
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confidence_histogram
dict
kept_at_threshold
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delta_vs_run2
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run3_recall
{ "frames": 5323, "blocks": 12, "preprocess": "per-frame CLAHE (clipLimit=2.0, tile=8x8) on dimmed thermal", "peak_temp_C": "unavailable (8-bit masked JPG, no radiometric scale)" }
{ "conf": 0.1, "iou_nms": 0.7, "agnostic_nms": false, "imgsz": 1280, "augment_TTA": "requested=True, EFFECTIVE=False (YOLO26 end-to-end model does not support TTA; Ultralytics reverted to single-scale @ imgsz=1280)", "crop": "NONE (full frame)", "post_filters": "NONE", "nms_note": "YOLO26 is NMS-free en...
1,463
{ "open_circuit": 712, "single_bypassed": 374, "multi_hotspot": 377 }
{ "frames_total": 5323, "frames_with_detection": 972, "frames_zero_detection": 4351, "frames_single_detection": 658, "frames_multi_detection": 314, "pct_single_of_detection_frames": 67.7, "pct_multi_of_detection_frames": 32.3, "distribution_ndets_to_nframes": { "0": 4351, "1": 658, "2": 196,...
{ "0.10-0.20": 536, "0.20-0.30": 247, "0.30-0.40": 154, "0.40-0.50": 123, "0.50-0.60": 91, "0.60-0.70": 83, "0.70-0.80": 102, "0.80-0.90": 117, "0.90-1.01": 10 }
{ ">=0.10": 1463, ">=0.20": 927, ">=0.30": 680 }
{ "raw_dets": "428 -> 1463", "pct_single_detection_frames": "80.0 -> 67.7", "note": "run-2 was a ~339-frame set; run-3 is the full 5,323-frame flight-2 set, so absolute raw-det counts are not directly comparable; the single-detection % is the crop-removal signal to watch." }

No-Filter Results — Run 3 (recall pass)

Raw, unfiltered detection output from running the merdiofrivia/YOLO26 thermal solar-PV fault detector over the full merdiofrivia/Szaszberek-flight2-masked-thermal set (5,323 frames / 12 blocks).

All gates OFF — full frame (no crop), conf 0.10, no temperature ceiling, no mask post-filter, no corroboration/≥2-frame gate, no unsnapped-drop. Every raw detection kept; no projection / snapping / dedup.

Inference settings

  • Input: per-frame CLAHE (clipLimit 2.0, tile 8×8) on the dimmed masked thermal frames.
  • conf=0.10, imgsz=1280, full frame.
  • augment=True was requested but YOLO26 is an end-to-end model → reverted to single-scale.
  • YOLO26 is NMS-free end-to-end, so iou/agnostic_nms apply no suppression.

Results

  • 1,463 raw detections across 972 frames (4,351 frames had zero).
  • By class: open_circuit 712 · multi_hotspot 377 · single_bypassed 374 · hotspot 0.
  • 67.7% of detection-bearing frames are single-detection (run-2: 80%).
  • Kept at threshold: ≥0.10 → 1,463 · ≥0.20 → 927 · ≥0.30 → 680.

Files

  • detections.csv — one row per raw detection (frame, block, class, conf, x1, y1, x2, y2, peak_temp_C). peak_temp_C is blank: 8-bit masked JPGs carry no radiometric scale.
  • summary.json — counts, per-frame distribution, confidence histogram, run-2 delta.
  • run.log — full inference log.
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