2026-05-17T22:22:01 - INFO: Slick 0.0.8a11

🟢 Starting Calibration Pipeline

=== Processing MDC006_W020(6)_2025-11-03 ===
2026-05-17T22:22:01 - INFO: Camera ID: 15091886
2026-05-17T22:22:01 - INFO: Wand ID: 
2026-05-17T22:22:01 - INFO: Recorded At: 2025-11-03T13:17:26Z

-------------------------------------------------------------------
                        Step 1: Digitization                       
-------------------------------------------------------------------

[🔄] Full PTD mode: Processing ALL images then creating calibration subset
[📸] Digitizing ALL images...
[📸] Full dataset mode: Processing ALL images (no debug visualizations)
[INFO] Found 4 las0.zip files to process

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 1347 stationary frames, 299 remain


→ 1500 (299 images) Phase 1:   0%|          | 0/299 [00:00<?, ?it/s]

→ 1500 (299 images) Phase 1:   0%|          | 1/299 [00:00<02:39,  1.87it/s]

→ 1500 (299 images) Phase 1:   1%|          | 3/299 [00:00<00:53,  5.58it/s]

→ 1500 (299 images) Phase 1:   9%|▉         | 27/299 [00:00<00:04, 58.95it/s]

→ 1500 (299 images) Phase 1:  13%|█▎        | 39/299 [00:01<00:05, 46.37it/s]

→ 1500 (299 images) Phase 1:  18%|█▊        | 55/299 [00:01<00:03, 66.61it/s]

→ 1500 (299 images) Phase 1:  22%|██▏       | 67/299 [00:01<00:03, 59.26it/s]

→ 1500 (299 images) Phase 1:  25%|██▌       | 76/299 [00:01<00:03, 59.07it/s]

→ 1500 (299 images) Phase 1:  32%|███▏      | 95/299 [00:01<00:02, 83.11it/s]

→ 1500 (299 images) Phase 1:  36%|███▌      | 107/299 [00:02<00:03, 60.97it/s]

→ 1500 (299 images) Phase 1:  42%|████▏     | 127/299 [00:02<00:02, 84.15it/s]

→ 1500 (299 images) Phase 1:  47%|████▋     | 140/299 [00:02<00:02, 62.98it/s]

→ 1500 (299 images) Phase 1:  54%|█████▎    | 160/299 [00:02<00:01, 81.64it/s]

→ 1500 (299 images) Phase 1:  58%|█████▊    | 172/299 [00:02<00:01, 64.20it/s]

→ 1500 (299 images) Phase 1:  64%|██████▍   | 191/299 [00:03<00:01, 83.49it/s]

→ 1500 (299 images) Phase 1:  68%|██████▊   | 204/299 [00:03<00:01, 64.96it/s]

→ 1500 (299 images) Phase 1:  75%|███████▍  | 223/299 [00:03<00:00, 83.69it/s]

→ 1500 (299 images) Phase 1:  79%|███████▉  | 236/299 [00:03<00:00, 65.66it/s]

→ 1500 (299 images) Phase 1:  85%|████████▌ | 255/299 [00:03<00:00, 82.83it/s]

→ 1500 (299 images) Phase 1:  89%|████████▉ | 267/299 [00:04<00:00, 65.50it/s]

→ 1500 (299 images) Phase 1:  95%|█████████▌| 285/299 [00:04<00:00, 83.01it/s]

→ 1500 (299 images) Phase 1:  99%|█████████▉| 297/299 [00:04<00:00, 79.31it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/299 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/299 [00:00<00:39,  7.48it/s]

→ 1500 Phase 2: corners:   2%|▏         | 7/299 [00:00<00:08, 34.03it/s]

→ 1500 Phase 2: corners:   6%|▋         | 19/299 [00:00<00:04, 67.66it/s]

→ 1500 Phase 2: corners:  10%|█         | 31/299 [00:00<00:03, 84.30it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 43/299 [00:00<00:02, 95.46it/s]

→ 1500 Phase 2: corners:  19%|█▉        | 58/299 [00:00<00:02, 109.95it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 73/299 [00:00<00:01, 121.46it/s]

→ 1500 Phase 2: corners:  29%|██▉       | 86/299 [00:00<00:01, 112.44it/s]

→ 1500 Phase 2: corners:  34%|███▍      | 101/299 [00:01<00:01, 121.57it/s]

→ 1500 Phase 2: corners:  40%|████      | 121/299 [00:01<00:01, 143.62it/s]

→ 1500 Phase 2: corners:  45%|████▌     | 136/299 [00:01<00:01, 135.60it/s]

→ 1500 Phase 2: corners:  52%|█████▏    | 154/299 [00:01<00:00, 146.79it/s]

→ 1500 Phase 2: corners:  57%|█████▋    | 169/299 [00:01<00:00, 142.94it/s]

→ 1500 Phase 2: corners:  62%|██████▏   | 184/299 [00:01<00:00, 136.25it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 199/299 [00:01<00:00, 135.52it/s]

→ 1500 Phase 2: corners:  71%|███████   | 213/299 [00:01<00:00, 135.99it/s]

→ 1500 Phase 2: corners:  76%|███████▋  | 228/299 [00:01<00:00, 139.00it/s]

→ 1500 Phase 2: corners:  81%|████████▏ | 243/299 [00:01<00:00, 140.67it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 262/299 [00:02<00:00, 154.03it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 299 total


→ 1500 Phase 3: finalize:   0%|          | 0/299 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 6/299 [00:00<00:05, 52.19it/s]

→ 1500 Phase 3: finalize:   4%|▍         | 12/299 [00:00<00:05, 53.11it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 18/299 [00:00<00:05, 53.59it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 24/299 [00:00<00:05, 53.91it/s]

→ 1500 Phase 3: finalize:  10%|█         | 30/299 [00:00<00:04, 54.16it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 36/299 [00:00<00:04, 54.41it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 42/299 [00:00<00:04, 54.53it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 48/299 [00:00<00:04, 54.54it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 54/299 [00:01<00:04, 53.72it/s]

→ 1500 Phase 3: finalize:  20%|██        | 60/299 [00:01<00:04, 53.37it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 66/299 [00:01<00:04, 53.16it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 72/299 [00:01<00:04, 52.99it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 78/299 [00:01<00:04, 52.86it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 84/299 [00:01<00:04, 52.76it/s]

→ 1500 Phase 3: finalize:  30%|███       | 90/299 [00:01<00:03, 52.49it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 96/299 [00:01<00:03, 52.10it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 102/299 [00:01<00:03, 52.12it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 108/299 [00:02<00:03, 52.42it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 114/299 [00:02<00:03, 52.66it/s]

→ 1500 Phase 3: finalize:  40%|████      | 120/299 [00:02<00:03, 52.84it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 126/299 [00:02<00:03, 53.09it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 132/299 [00:02<00:03, 53.29it/s]

→ 1500 Phase 3: finalize:  46%|████▌     | 138/299 [00:02<00:03, 53.53it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 144/299 [00:02<00:02, 53.49it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 150/299 [00:02<00:02, 53.54it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 156/299 [00:02<00:02, 53.47it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 162/299 [00:03<00:02, 53.38it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 168/299 [00:03<00:02, 53.12it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 174/299 [00:03<00:02, 52.67it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 180/299 [00:03<00:02, 52.54it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 186/299 [00:03<00:02, 53.00it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 192/299 [00:03<00:02, 53.35it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 198/299 [00:03<00:01, 53.65it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 204/299 [00:03<00:01, 53.92it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 210/299 [00:03<00:01, 54.14it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 216/299 [00:04<00:01, 54.36it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 222/299 [00:04<00:01, 54.36it/s]

→ 1500 Phase 3: finalize:  76%|███████▋  | 228/299 [00:04<00:01, 53.90it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 234/299 [00:04<00:01, 54.21it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 240/299 [00:04<00:01, 54.28it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 246/299 [00:04<00:00, 54.11it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 252/299 [00:04<00:00, 54.37it/s]

→ 1500 Phase 3: finalize:  86%|████████▋ | 258/299 [00:04<00:00, 54.62it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 264/299 [00:04<00:00, 54.74it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 270/299 [00:05<00:00, 54.69it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 276/299 [00:05<00:00, 54.65it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 282/299 [00:05<00:00, 54.57it/s]

→ 1500 Phase 3: finalize:  96%|█████████▋| 288/299 [00:05<00:00, 54.49it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 294/299 [00:05<00:00, 54.38it/s]

                                                                           
[TIMING] 1500 — 299 frames
  Phase 1  radial detect   (parallel)  :   4.56s  (15.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.20s  (7.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.07s
  Phase 3  finalize        (sequential):   5.57s  (18.6 ms/frame)
    decode + undistort                 :   2.97s  (9.9 ms/frame)
    corner apply + refinement          :   1.16s  (3.9 ms/frame)
    segment                            :   1.19s  (4.0 ms/frame)
    smooth                             :   0.16s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  12.40s


Processing Rigs:  25%|██▌       | 1/4 [00:19<00:58, 19.64s/it][INFO] Filtered 1201 stationary frames, 232 remain


→ 2000L (232 images) Phase 1:   0%|          | 0/232 [00:00<?, ?it/s]

→ 2000L (232 images) Phase 1:   0%|          | 1/232 [00:00<01:49,  2.11it/s]

→ 2000L (232 images) Phase 1:   2%|▏         | 4/232 [00:00<00:27,  8.21it/s]

→ 2000L (232 images) Phase 1:  10%|▉         | 23/232 [00:00<00:04, 50.22it/s]

→ 2000L (232 images) Phase 1:  14%|█▍        | 32/232 [00:00<00:03, 51.87it/s]

→ 2000L (232 images) Phase 1:  17%|█▋        | 40/232 [00:01<00:03, 50.18it/s]

→ 2000L (232 images) Phase 1:  24%|██▎       | 55/232 [00:01<00:02, 72.48it/s]

→ 2000L (232 images) Phase 1:  28%|██▊       | 65/232 [00:01<00:02, 66.93it/s]

→ 2000L (232 images) Phase 1:  32%|███▏      | 74/232 [00:01<00:02, 62.52it/s]

→ 2000L (232 images) Phase 1:  38%|███▊      | 87/232 [00:01<00:01, 77.10it/s]

→ 2000L (232 images) Phase 1:  41%|████▏     | 96/232 [00:01<00:01, 68.08it/s]

→ 2000L (232 images) Phase 1:  45%|████▍     | 104/232 [00:01<00:02, 61.64it/s]

→ 2000L (232 images) Phase 1:  52%|█████▏    | 120/232 [00:02<00:01, 77.81it/s]

→ 2000L (232 images) Phase 1:  56%|█████▌    | 129/232 [00:02<00:01, 73.81it/s]

→ 2000L (232 images) Phase 1:  59%|█████▉    | 137/232 [00:02<00:01, 65.61it/s]

→ 2000L (232 images) Phase 1:  66%|██████▌   | 152/232 [00:02<00:01, 79.19it/s]

→ 2000L (232 images) Phase 1:  69%|██████▉   | 161/232 [00:02<00:00, 73.97it/s]

→ 2000L (232 images) Phase 1:  73%|███████▎  | 169/232 [00:02<00:00, 65.72it/s]

→ 2000L (232 images) Phase 1:  79%|███████▉  | 184/232 [00:02<00:00, 82.55it/s]

→ 2000L (232 images) Phase 1:  83%|████████▎ | 193/232 [00:03<00:00, 73.11it/s]

→ 2000L (232 images) Phase 1:  87%|████████▋ | 201/232 [00:03<00:00, 64.47it/s]

→ 2000L (232 images) Phase 1:  94%|█████████▎| 217/232 [00:03<00:00, 84.72it/s]

→ 2000L (232 images) Phase 1:  98%|█████████▊| 227/232 [00:03<00:00, 81.28it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/232 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/232 [00:00<00:52,  4.44it/s]

→ 2000L Phase 2: corners:   7%|▋         | 16/232 [00:00<00:03, 60.13it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 28/232 [00:00<00:02, 77.74it/s]

→ 2000L Phase 2: corners:  18%|█▊        | 41/232 [00:00<00:02, 90.91it/s]

→ 2000L Phase 2: corners:  24%|██▎       | 55/232 [00:00<00:01, 103.05it/s]

→ 2000L Phase 2: corners:  29%|██▉       | 67/232 [00:00<00:01, 107.33it/s]

→ 2000L Phase 2: corners:  35%|███▍      | 81/232 [00:00<00:01, 115.51it/s]

→ 2000L Phase 2: corners:  41%|████      | 94/232 [00:00<00:01, 119.09it/s]

→ 2000L Phase 2: corners:  46%|████▌     | 107/232 [00:01<00:01, 112.96it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 123/232 [00:01<00:00, 124.44it/s]

→ 2000L Phase 2: corners:  59%|█████▊    | 136/232 [00:01<00:00, 115.66it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 156/232 [00:01<00:00, 137.18it/s]

→ 2000L Phase 2: corners:  74%|███████▎  | 171/232 [00:01<00:00, 138.14it/s]

→ 2000L Phase 2: corners:  81%|████████  | 188/232 [00:01<00:00, 143.40it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 203/232 [00:01<00:00, 144.41it/s]

→ 2000L Phase 2: corners:  95%|█████████▌| 221/232 [00:01<00:00, 152.72it/s]

                                                                            [PASS2] Frame 0000843: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000844: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000845: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000846: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000853: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0001108: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001109: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001110: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001111: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001122: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001123: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001124: fixed corners {2, 3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001127: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001131: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001132: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001134: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001135: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001344: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001345: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001346: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001347: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001351: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001352: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001353: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001354: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000845: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0001110: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001124: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001125: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001126: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001134: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001346: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001353: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 15 frames fixed, 12 untrusted, 232 total


→ 2000L Phase 3: finalize:   0%|          | 0/232 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 6/232 [00:00<00:04, 54.24it/s]

→ 2000L Phase 3: finalize:   5%|▌         | 12/232 [00:00<00:04, 51.67it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 18/232 [00:00<00:04, 51.23it/s]

→ 2000L Phase 3: finalize:  10%|█         | 24/232 [00:00<00:04, 50.30it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 30/232 [00:00<00:04, 50.23it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 36/232 [00:00<00:03, 50.11it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 42/232 [00:00<00:03, 49.87it/s]

→ 2000L Phase 3: finalize:  21%|██        | 48/232 [00:00<00:03, 50.07it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 54/232 [00:01<00:03, 50.20it/s]

→ 2000L Phase 3: finalize:  26%|██▌       | 60/232 [00:01<00:03, 50.23it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 66/232 [00:01<00:03, 50.28it/s]

→ 2000L Phase 3: finalize:  31%|███       | 72/232 [00:01<00:03, 50.24it/s]

→ 2000L Phase 3: finalize:  34%|███▎      | 78/232 [00:01<00:03, 50.20it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 84/232 [00:01<00:02, 50.20it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 90/232 [00:01<00:02, 50.25it/s]

→ 2000L Phase 3: finalize:  41%|████▏     | 96/232 [00:01<00:02, 50.26it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 102/232 [00:02<00:02, 50.26it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 108/232 [00:02<00:02, 50.15it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 114/232 [00:02<00:02, 50.38it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 120/232 [00:02<00:02, 50.73it/s]

→ 2000L Phase 3: finalize:  54%|█████▍    | 126/232 [00:02<00:02, 51.09it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 132/232 [00:02<00:01, 51.43it/s]

→ 2000L Phase 3: finalize:  59%|█████▉    | 138/232 [00:02<00:01, 51.81it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 144/232 [00:02<00:01, 52.16it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 150/232 [00:02<00:01, 52.40it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 156/232 [00:03<00:01, 52.96it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 162/232 [00:03<00:01, 53.45it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 168/232 [00:03<00:01, 53.82it/s]

→ 2000L Phase 3: finalize:  75%|███████▌  | 174/232 [00:03<00:01, 53.88it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 180/232 [00:03<00:00, 54.02it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 186/232 [00:03<00:00, 54.24it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 192/232 [00:03<00:00, 54.46it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 198/232 [00:03<00:00, 54.60it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 204/232 [00:03<00:00, 54.49it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 210/232 [00:04<00:00, 54.35it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 216/232 [00:04<00:00, 54.12it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 222/232 [00:04<00:00, 53.96it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 228/232 [00:04<00:00, 53.48it/s]

                                                                            
[TIMING] 2000L — 232 frames
  Phase 1  radial detect   (parallel)  :   3.58s  (15.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.97s  (8.5 ms/frame)
  Phase 2b corner fix      (sequential):   0.61s
  Phase 3  finalize        (sequential):   4.47s  (19.3 ms/frame)
    decode + undistort                 :   2.30s  (9.9 ms/frame)
    corner apply + refinement          :   1.02s  (4.4 ms/frame)
    segment                            :   0.94s  (4.0 ms/frame)
    smooth                             :   0.13s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  10.62s


Processing Rigs:  50%|█████     | 2/4 [00:34<00:33, 16.87s/it][INFO] Filtered 1168 stationary frames, 207 remain


→ 1000 (207 images) Phase 1:   0%|          | 0/207 [00:00<?, ?it/s]

→ 1000 (207 images) Phase 1:   0%|          | 1/207 [00:00<01:31,  2.25it/s]

→ 1000 (207 images) Phase 1:   1%|▏         | 3/207 [00:00<00:32,  6.22it/s]

→ 1000 (207 images) Phase 1:  11%|█         | 22/207 [00:00<00:03, 49.31it/s]

→ 1000 (207 images) Phase 1:  15%|█▍        | 31/207 [00:00<00:02, 59.34it/s]

→ 1000 (207 images) Phase 1:  19%|█▉        | 40/207 [00:01<00:03, 47.10it/s]

→ 1000 (207 images) Phase 1:  26%|██▌       | 54/207 [00:01<00:02, 66.12it/s]

→ 1000 (207 images) Phase 1:  31%|███▏      | 65/207 [00:01<00:02, 65.94it/s]

→ 1000 (207 images) Phase 1:  36%|███▌      | 74/207 [00:01<00:02, 61.42it/s]

→ 1000 (207 images) Phase 1:  42%|████▏     | 87/207 [00:01<00:01, 75.90it/s]

→ 1000 (207 images) Phase 1:  47%|████▋     | 97/207 [00:01<00:01, 70.64it/s]

→ 1000 (207 images) Phase 1:  51%|█████     | 106/207 [00:01<00:01, 65.11it/s]

→ 1000 (207 images) Phase 1:  58%|█████▊    | 120/207 [00:02<00:01, 81.03it/s]

→ 1000 (207 images) Phase 1:  63%|██████▎   | 130/207 [00:02<00:01, 59.93it/s]

→ 1000 (207 images) Phase 1:  71%|███████   | 147/207 [00:02<00:00, 80.65it/s]

→ 1000 (207 images) Phase 1:  76%|███████▋  | 158/207 [00:02<00:00, 83.89it/s]

→ 1000 (207 images) Phase 1:  82%|████████▏ | 169/207 [00:02<00:00, 65.25it/s]

→ 1000 (207 images) Phase 1:  89%|████████▉ | 184/207 [00:02<00:00, 79.81it/s]

→ 1000 (207 images) Phase 1:  94%|█████████▎| 194/207 [00:03<00:00, 75.45it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/207 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/207 [00:00<00:43,  4.68it/s]

→ 1000 Phase 2: corners:   6%|▋         | 13/207 [00:00<00:03, 50.39it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 25/207 [00:00<00:02, 70.56it/s]

→ 1000 Phase 2: corners:  22%|██▏       | 45/207 [00:00<00:01, 104.02it/s]

→ 1000 Phase 2: corners:  29%|██▊       | 59/207 [00:00<00:01, 114.25it/s]

→ 1000 Phase 2: corners:  35%|███▍      | 72/207 [00:00<00:01, 116.73it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 88/207 [00:00<00:00, 129.42it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 102/207 [00:00<00:00, 128.81it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 116/207 [00:01<00:00, 120.16it/s]

→ 1000 Phase 2: corners:  64%|██████▍   | 132/207 [00:01<00:00, 130.56it/s]

→ 1000 Phase 2: corners:  71%|███████   | 146/207 [00:01<00:00, 130.85it/s]

→ 1000 Phase 2: corners:  81%|████████  | 167/207 [00:01<00:00, 151.03it/s]

→ 1000 Phase 2: corners:  89%|████████▉ | 184/207 [00:01<00:00, 155.49it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 200/207 [00:01<00:00, 149.65it/s]

                                                                           [PASS2] Frame 0001361: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001362: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001363: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001364: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001363: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 3 untrusted, 207 total


→ 1000 Phase 3: finalize:   0%|          | 0/207 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 6/207 [00:00<00:03, 59.94it/s]

→ 1000 Phase 3: finalize:   6%|▌         | 12/207 [00:00<00:03, 57.03it/s]

→ 1000 Phase 3: finalize:   9%|▊         | 18/207 [00:00<00:03, 56.37it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 24/207 [00:00<00:03, 56.28it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 30/207 [00:00<00:03, 56.10it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 36/207 [00:00<00:03, 56.02it/s]

→ 1000 Phase 3: finalize:  20%|██        | 42/207 [00:00<00:02, 55.88it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 48/207 [00:00<00:02, 55.81it/s]

→ 1000 Phase 3: finalize:  26%|██▌       | 54/207 [00:00<00:02, 55.75it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 60/207 [00:01<00:02, 55.61it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 66/207 [00:01<00:02, 55.45it/s]

→ 1000 Phase 3: finalize:  35%|███▍      | 72/207 [00:01<00:02, 55.28it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 78/207 [00:01<00:02, 55.32it/s]

→ 1000 Phase 3: finalize:  41%|████      | 84/207 [00:01<00:02, 55.34it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 90/207 [00:01<00:02, 55.36it/s]

→ 1000 Phase 3: finalize:  46%|████▋     | 96/207 [00:01<00:02, 55.29it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 102/207 [00:01<00:01, 55.35it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 108/207 [00:01<00:01, 55.38it/s]

→ 1000 Phase 3: finalize:  55%|█████▌    | 114/207 [00:02<00:01, 55.28it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 120/207 [00:02<00:01, 55.22it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 126/207 [00:02<00:01, 55.11it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 132/207 [00:02<00:01, 54.50it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 138/207 [00:02<00:01, 54.60it/s]

→ 1000 Phase 3: finalize:  70%|██████▉   | 144/207 [00:02<00:01, 54.90it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 150/207 [00:02<00:01, 55.08it/s]

→ 1000 Phase 3: finalize:  75%|███████▌  | 156/207 [00:02<00:00, 55.25it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 162/207 [00:02<00:00, 55.48it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 168/207 [00:03<00:00, 55.77it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 174/207 [00:03<00:00, 56.06it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 180/207 [00:03<00:00, 56.21it/s]

→ 1000 Phase 3: finalize:  90%|████████▉ | 186/207 [00:03<00:00, 56.23it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 192/207 [00:03<00:00, 56.21it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 198/207 [00:03<00:00, 55.93it/s]

→ 1000 Phase 3: finalize:  99%|█████████▊| 204/207 [00:03<00:00, 55.60it/s]

                                                                           
[TIMING] 1000 — 207 frames
  Phase 1  radial detect   (parallel)  :   3.22s  (15.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.76s  (8.5 ms/frame)
  Phase 2b corner fix      (sequential):   0.19s
  Phase 3  finalize        (sequential):   3.72s  (18.0 ms/frame)
    decode + undistort                 :   2.06s  (9.9 ms/frame)
    corner apply + refinement          :   0.69s  (3.3 ms/frame)
    segment                            :   0.80s  (3.9 ms/frame)
    smooth                             :   0.11s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   8.90s


Processing Rigs:  75%|███████▌  | 3/4 [00:47<00:15, 15.11s/it][INFO] Filtered 1182 stationary frames, 214 remain


→ 2000R (214 images) Phase 1:   0%|          | 0/214 [00:00<?, ?it/s]

→ 2000R (214 images) Phase 1:   0%|          | 1/214 [00:00<02:03,  1.72it/s]

→ 2000R (214 images) Phase 1:  11%|█         | 23/214 [00:00<00:04, 44.65it/s]

→ 2000R (214 images) Phase 1:  17%|█▋        | 36/214 [00:01<00:04, 35.81it/s]

→ 2000R (214 images) Phase 1:  26%|██▌       | 56/214 [00:01<00:02, 59.27it/s]

→ 2000R (214 images) Phase 1:  32%|███▏      | 68/214 [00:01<00:02, 50.18it/s]

→ 2000R (214 images) Phase 1:  42%|████▏     | 89/214 [00:01<00:01, 74.04it/s]

→ 2000R (214 images) Phase 1:  48%|████▊     | 102/214 [00:02<00:01, 57.66it/s]

→ 2000R (214 images) Phase 1:  58%|█████▊    | 124/214 [00:02<00:01, 81.47it/s]

→ 2000R (214 images) Phase 1:  64%|██████▍   | 138/214 [00:02<00:01, 58.37it/s]

→ 2000R (214 images) Phase 1:  75%|███████▌  | 161/214 [00:02<00:00, 66.27it/s]

→ 2000R (214 images) Phase 1:  80%|███████▉  | 171/214 [00:02<00:00, 65.34it/s]

→ 2000R (214 images) Phase 1:  90%|█████████ | 193/214 [00:03<00:00, 80.06it/s]

→ 2000R (214 images) Phase 1:  95%|█████████▍| 203/214 [00:03<00:00, 82.01it/s]

→ 2000R (214 images) Phase 1: 100%|█████████▉| 213/214 [00:03<00:00, 84.07it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/214 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/214 [00:00<00:55,  3.84it/s]

→ 2000R Phase 2: corners:   9%|▉         | 20/214 [00:00<00:02, 68.68it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 34/214 [00:00<00:01, 91.44it/s]

→ 2000R Phase 2: corners:  23%|██▎       | 50/214 [00:00<00:01, 110.26it/s]

→ 2000R Phase 2: corners:  30%|██▉       | 64/214 [00:00<00:01, 111.69it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 77/214 [00:00<00:01, 110.38it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 89/214 [00:00<00:01, 107.89it/s]

→ 2000R Phase 2: corners:  47%|████▋     | 101/214 [00:01<00:01, 106.24it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 113/214 [00:01<00:00, 107.33it/s]

→ 2000R Phase 2: corners:  60%|█████▉    | 128/214 [00:01<00:00, 117.23it/s]

→ 2000R Phase 2: corners:  67%|██████▋   | 144/214 [00:01<00:00, 127.89it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 158/214 [00:01<00:00, 126.81it/s]

→ 2000R Phase 2: corners:  80%|███████▉  | 171/214 [00:01<00:00, 126.97it/s]

→ 2000R Phase 2: corners:  86%|████████▋ | 185/214 [00:01<00:00, 128.81it/s]

→ 2000R Phase 2: corners:  93%|█████████▎| 198/214 [00:01<00:00, 125.62it/s]

                                                                            [PASS2] Frame 0000543: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000544: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000545: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000546: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000549: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000550: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000551: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000553: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000554: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000555: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000710: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000711: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000712: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000713: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000714: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000715: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000716: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000717: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000865: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000545: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000551: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000552: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000554: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000712: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000713: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000716: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 12 frames fixed, 9 untrusted, 214 total


→ 2000R Phase 3: finalize:   0%|          | 0/214 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 6/214 [00:00<00:03, 52.20it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 12/214 [00:00<00:03, 51.46it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 18/214 [00:00<00:03, 52.32it/s]

→ 2000R Phase 3: finalize:  11%|█         | 24/214 [00:00<00:03, 51.49it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 30/214 [00:00<00:03, 52.25it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 36/214 [00:00<00:03, 52.91it/s]

→ 2000R Phase 3: finalize:  20%|█▉        | 42/214 [00:00<00:03, 53.34it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 48/214 [00:00<00:03, 53.63it/s]

→ 2000R Phase 3: finalize:  25%|██▌       | 54/214 [00:01<00:02, 53.67it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 60/214 [00:01<00:02, 53.86it/s]

→ 2000R Phase 3: finalize:  31%|███       | 66/214 [00:01<00:02, 53.98it/s]

→ 2000R Phase 3: finalize:  34%|███▎      | 72/214 [00:01<00:02, 54.26it/s]

→ 2000R Phase 3: finalize:  36%|███▋      | 78/214 [00:01<00:02, 54.22it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 84/214 [00:01<00:02, 54.14it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 90/214 [00:01<00:02, 54.03it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 96/214 [00:01<00:02, 53.75it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 102/214 [00:01<00:02, 53.31it/s]

→ 2000R Phase 3: finalize:  50%|█████     | 108/214 [00:02<00:02, 52.90it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 114/214 [00:02<00:01, 52.54it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 120/214 [00:02<00:01, 52.24it/s]

→ 2000R Phase 3: finalize:  59%|█████▉    | 126/214 [00:02<00:01, 52.01it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 132/214 [00:02<00:01, 51.72it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 138/214 [00:02<00:01, 51.86it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 144/214 [00:02<00:01, 51.96it/s]

→ 2000R Phase 3: finalize:  70%|███████   | 150/214 [00:02<00:01, 51.83it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 156/214 [00:02<00:01, 51.79it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 162/214 [00:03<00:01, 51.74it/s]

→ 2000R Phase 3: finalize:  79%|███████▊  | 168/214 [00:03<00:00, 51.60it/s]

→ 2000R Phase 3: finalize:  81%|████████▏ | 174/214 [00:03<00:00, 51.61it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 180/214 [00:03<00:00, 51.67it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 186/214 [00:03<00:00, 51.60it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 192/214 [00:03<00:00, 51.23it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 198/214 [00:03<00:00, 51.37it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 204/214 [00:03<00:00, 51.45it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 210/214 [00:04<00:00, 51.52it/s]

                                                                            
[TIMING] 2000R — 214 frames
  Phase 1  radial detect   (parallel)  :   3.52s  (16.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.92s  (9.0 ms/frame)
  Phase 2b corner fix      (sequential):   0.52s
  Phase 3  finalize        (sequential):   4.08s  (19.1 ms/frame)
    decode + undistort                 :   2.14s  (10.0 ms/frame)
    corner apply + refinement          :   0.88s  (4.1 ms/frame)
    segment                            :   0.87s  (4.0 ms/frame)
    smooth                             :   0.12s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  10.03s


Processing Rigs: 100%|██████████| 4/4 [01:01<00:00, 14.75s/it]
Processing Rigs: 100%|██████████| 4/4 [01:01<00:00, 15.45s/it]
[💾] Saved RigFrameDataset to /working/MDC006_W020(6)_2025-11-03/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 952 frames from 4 rigs to /working/MDC006_W020(6)_2025-11-03/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC006_W020(6)_2025-11-03/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1500: 100 frames selected from 299
[📋] 2000L: 100 frames selected from 232
[📋] 1000: 100 frames selected from 207
[📋] 2000R: 100 frames selected from 214
[💾] Saved RigFrameDataset to /working/MDC006_W020(6)_2025-11-03/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC006_W020(6)_2025-11-03/calibration/debug/1_digitized/rig_frames.json

-------------------------------------------------------------------
                      Step 2: Casing Detection                     
-------------------------------------------------------------------

-> Calculating the casing center ...
[INFO] Using 80 total sampled bright frames

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:03<04:26,  3.37s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:06<04:22,  3.36s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:10<04:16,  3.34s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:13<04:12,  3.32s/it]
Computing max image from bright frames:   6%|▋         | 5/80 [00:16<04:09,  3.33s/it]
Computing max image from bright frames:   8%|▊         | 6/80 [00:19<04:05,  3.31s/it]
Computing max image from bright frames:   9%|▉         | 7/80 [00:23<04:02,  3.32s/it]
Computing max image from bright frames:  10%|█         | 8/80 [00:26<04:00,  3.34s/it]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:29<03:56,  3.33s/it]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:33<03:52,  3.33s/it]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:36<03:50,  3.34s/it]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:40<03:49,  3.37s/it]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:43<03:46,  3.38s/it]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:46<03:43,  3.39s/it]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:50<03:38,  3.36s/it]
Computing max image from bright frames:  20%|██        | 16/80 [00:53<03:34,  3.34s/it]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:56<03:30,  3.34s/it]
Computing max image from bright frames:  22%|██▎       | 18/80 [01:00<03:26,  3.33s/it]
Computing max image from bright frames:  24%|██▍       | 19/80 [01:03<03:22,  3.32s/it]
Computing max image from bright frames:  25%|██▌       | 20/80 [01:05<02:48,  2.81s/it]
Computing max image from bright frames:  26%|██▋       | 21/80 [01:08<02:54,  2.97s/it]
Computing max image from bright frames:  28%|██▊       | 22/80 [01:11<02:57,  3.06s/it]
Computing max image from bright frames:  29%|██▉       | 23/80 [01:15<02:59,  3.14s/it]
Computing max image from bright frames:  30%|███       | 24/80 [01:18<02:58,  3.20s/it]
Computing max image from bright frames:  31%|███▏      | 25/80 [01:21<02:57,  3.23s/it]
Computing max image from bright frames:  32%|███▎      | 26/80 [01:24<02:56,  3.27s/it]
Computing max image from bright frames:  34%|███▍      | 27/80 [01:28<02:54,  3.29s/it]
Computing max image from bright frames:  35%|███▌      | 28/80 [01:31<02:51,  3.30s/it]
Computing max image from bright frames:  36%|███▋      | 29/80 [01:34<02:48,  3.30s/it]
Computing max image from bright frames:  38%|███▊      | 30/80 [01:38<02:45,  3.31s/it]
Computing max image from bright frames:  39%|███▉      | 31/80 [01:41<02:43,  3.33s/it]
Computing max image from bright frames:  40%|████      | 32/80 [01:45<02:41,  3.36s/it]
Computing max image from bright frames:  41%|████▏     | 33/80 [01:48<02:38,  3.37s/it]
Computing max image from bright frames:  42%|████▎     | 34/80 [01:51<02:35,  3.38s/it]
Computing max image from bright frames:  44%|████▍     | 35/80 [01:55<02:31,  3.37s/it]
Computing max image from bright frames:  45%|████▌     | 36/80 [01:58<02:27,  3.35s/it]
Computing max image from bright frames:  46%|████▋     | 37/80 [02:01<02:23,  3.33s/it]
Computing max image from bright frames:  48%|████▊     | 38/80 [02:05<02:19,  3.32s/it]
Computing max image from bright frames:  49%|████▉     | 39/80 [02:08<02:16,  3.33s/it]
Computing max image from bright frames:  50%|█████     | 40/80 [02:10<01:52,  2.82s/it]
Computing max image from bright frames:  51%|█████▏    | 41/80 [02:13<01:56,  2.98s/it]
Computing max image from bright frames:  52%|█████▎    | 42/80 [02:16<01:57,  3.09s/it]
Computing max image from bright frames:  54%|█████▍    | 43/80 [02:20<01:56,  3.16s/it]
Computing max image from bright frames:  55%|█████▌    | 44/80 [02:23<01:55,  3.21s/it]
Computing max image from bright frames:  56%|█████▋    | 45/80 [02:26<01:53,  3.24s/it]
Computing max image from bright frames:  57%|█████▊    | 46/80 [02:30<01:51,  3.27s/it]
Computing max image from bright frames:  59%|█████▉    | 47/80 [02:33<01:48,  3.29s/it]
Computing max image from bright frames:  60%|██████    | 48/80 [02:36<01:45,  3.30s/it]
Computing max image from bright frames:  61%|██████▏   | 49/80 [02:40<01:42,  3.31s/it]
Computing max image from bright frames:  62%|██████▎   | 50/80 [02:43<01:40,  3.34s/it]
Computing max image from bright frames:  64%|██████▍   | 51/80 [02:46<01:37,  3.36s/it]
Computing max image from bright frames:  65%|██████▌   | 52/80 [02:50<01:34,  3.38s/it]
Computing max image from bright frames:  66%|██████▋   | 53/80 [02:53<01:31,  3.40s/it]
Computing max image from bright frames:  68%|██████▊   | 54/80 [02:57<01:27,  3.38s/it]
Computing max image from bright frames:  69%|██████▉   | 55/80 [03:00<01:24,  3.36s/it]
Computing max image from bright frames:  70%|███████   | 56/80 [03:03<01:20,  3.35s/it]
Computing max image from bright frames:  71%|███████▏  | 57/80 [03:07<01:16,  3.34s/it]
Computing max image from bright frames:  72%|███████▎  | 58/80 [03:10<01:13,  3.34s/it]
Computing max image from bright frames:  74%|███████▍  | 59/80 [03:13<01:10,  3.34s/it]
Computing max image from bright frames:  75%|███████▌  | 60/80 [03:17<01:06,  3.33s/it]
Computing max image from bright frames:  76%|███████▋  | 61/80 [03:20<01:03,  3.32s/it]
Computing max image from bright frames:  78%|███████▊  | 62/80 [03:23<00:59,  3.32s/it]
Computing max image from bright frames:  79%|███████▉  | 63/80 [03:26<00:56,  3.32s/it]
Computing max image from bright frames:  80%|████████  | 64/80 [03:30<00:53,  3.32s/it]
Computing max image from bright frames:  81%|████████▏ | 65/80 [03:33<00:49,  3.33s/it]
Computing max image from bright frames:  82%|████████▎ | 66/80 [03:36<00:46,  3.33s/it]
Computing max image from bright frames:  84%|████████▍ | 67/80 [03:40<00:43,  3.32s/it]
Computing max image from bright frames:  85%|████████▌ | 68/80 [03:43<00:39,  3.31s/it]
Computing max image from bright frames:  86%|████████▋ | 69/80 [03:46<00:36,  3.31s/it]
Computing max image from bright frames:  88%|████████▊ | 70/80 [03:50<00:33,  3.34s/it]
Computing max image from bright frames:  89%|████████▉ | 71/80 [03:53<00:30,  3.36s/it]
Computing max image from bright frames:  90%|█████████ | 72/80 [03:57<00:27,  3.38s/it]
Computing max image from bright frames:  91%|█████████▏| 73/80 [04:00<00:23,  3.39s/it]
Computing max image from bright frames:  92%|█████████▎| 74/80 [04:03<00:20,  3.40s/it]
Computing max image from bright frames:  94%|█████████▍| 75/80 [04:07<00:17,  3.40s/it]
Computing max image from bright frames:  95%|█████████▌| 76/80 [04:10<00:13,  3.38s/it]
Computing max image from bright frames:  96%|█████████▋| 77/80 [04:14<00:10,  3.36s/it]
Computing max image from bright frames:  98%|█████████▊| 78/80 [04:17<00:06,  3.34s/it]
Computing max image from bright frames:  99%|█████████▉| 79/80 [04:20<00:03,  3.33s/it]
Computing max image from bright frames: 100%|██████████| 80/80 [04:22<00:00,  2.80s/it]
                                                                                       
[✅] Casing detection complete: cx=1022.0, cy=793.0

-------------------------------------------------------------------
                        Step 3: Calibration                        
-------------------------------------------------------------------


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:28,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:28,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:07, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:07, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:07, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:06, 13.06it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 363.636} (0.001):  10%|█         | 10/100 [00:00<00:03, 22.86it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:03, 22.86it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:03, 22.86it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  12%|█▏        | 12/100 [00:00<00:03, 22.86it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 21.10it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.005 | Best: {'fx': 398.99} (0.005):  13%|█▎        | 13/100 [00:00<00:04, 21.10it/s] 
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 398.99} (0.005):  14%|█▍        | 14/100 [00:00<00:04, 21.10it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  15%|█▌        | 15/100 [00:00<00:04, 21.10it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 22.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 22.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 22.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 22.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  19%|█▉        | 19/100 [00:00<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  19%|█▉        | 19/100 [00:00<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.007 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:00<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  21%|██        | 21/100 [00:00<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:00<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:03, 23.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  25%|██▌       | 25/100 [00:01<00:02, 32.32it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:02, 32.32it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.032 | Best: {'fx': 490.909} (0.032):  26%|██▌       | 26/100 [00:01<00:02, 32.32it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 490.909} (0.032):  27%|██▋       | 27/100 [00:01<00:02, 32.32it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.040 | Best: {'fx': 497.98} (0.040):  28%|██▊       | 28/100 [00:01<00:02, 32.32it/s] 
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.040 | Best: {'fx': 497.98} (0.040):  29%|██▉       | 29/100 [00:01<00:02, 26.98it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.060 | Best: {'fx': 512.121} (0.060):  29%|██▉       | 29/100 [00:01<00:02, 26.98it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.049 | Best: {'fx': 512.121} (0.060):  30%|███       | 30/100 [00:01<00:02, 26.98it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.090 | Best: {'fx': 526.263} (0.090):  31%|███       | 31/100 [00:01<00:02, 26.98it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.073 | Best: {'fx': 526.263} (0.090):  32%|███▏      | 32/100 [00:01<00:02, 26.98it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.073 | Best: {'fx': 526.263} (0.090):  33%|███▎      | 33/100 [00:01<00:02, 22.39it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.071 | Best: {'fx': 526.263} (0.090):  33%|███▎      | 33/100 [00:01<00:02, 22.39it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.085 | Best: {'fx': 526.263} (0.090):  34%|███▍      | 34/100 [00:01<00:02, 22.39it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.091 | Best: {'fx': 533.333} (0.091):  35%|███▌      | 35/100 [00:01<00:02, 22.39it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.040 | Best: {'fx': 533.333} (0.091):  36%|███▌      | 36/100 [00:01<00:02, 22.39it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.040 | Best: {'fx': 533.333} (0.091):  37%|███▋      | 37/100 [00:01<00:03, 19.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.045 | Best: {'fx': 533.333} (0.091):  37%|███▋      | 37/100 [00:01<00:03, 19.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.036 | Best: {'fx': 533.333} (0.091):  38%|███▊      | 38/100 [00:01<00:03, 19.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.062 | Best: {'fx': 533.333} (0.091):  39%|███▉      | 39/100 [00:01<00:03, 19.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.037 | Best: {'fx': 533.333} (0.091):  40%|████      | 40/100 [00:01<00:03, 19.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.037 | Best: {'fx': 533.333} (0.091):  41%|████      | 41/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.055 | Best: {'fx': 533.333} (0.091):  41%|████      | 41/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.050 | Best: {'fx': 533.333} (0.091):  42%|████▏     | 42/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.034 | Best: {'fx': 533.333} (0.091):  43%|████▎     | 43/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.042 | Best: {'fx': 533.333} (0.091):  44%|████▍     | 44/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.033 | Best: {'fx': 533.333} (0.091):  45%|████▌     | 45/100 [00:01<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.031 | Best: {'fx': 533.333} (0.091):  46%|████▌     | 46/100 [00:02<00:02, 22.79it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.031 | Best: {'fx': 533.333} (0.091):  47%|████▋     | 47/100 [00:02<00:01, 28.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.032 | Best: {'fx': 533.333} (0.091):  47%|████▋     | 47/100 [00:02<00:01, 28.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.030 | Best: {'fx': 533.333} (0.091):  48%|████▊     | 48/100 [00:02<00:01, 28.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.028 | Best: {'fx': 533.333} (0.091):  49%|████▉     | 49/100 [00:02<00:01, 28.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.029 | Best: {'fx': 533.333} (0.091):  50%|█████     | 50/100 [00:02<00:01, 28.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.029 | Best: {'fx': 533.333} (0.091):  51%|█████     | 51/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.027 | Best: {'fx': 533.333} (0.091):  51%|█████     | 51/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.028 | Best: {'fx': 533.333} (0.091):  52%|█████▏    | 52/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 533.333} (0.091):  53%|█████▎    | 53/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.024 | Best: {'fx': 533.333} (0.091):  54%|█████▍    | 54/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 533.333} (0.091):  55%|█████▌    | 55/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 533.333} (0.091):  56%|█████▌    | 56/100 [00:02<00:01, 28.04it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 533.333} (0.091):  57%|█████▋    | 57/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.027 | Best: {'fx': 533.333} (0.091):  57%|█████▋    | 57/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 533.333} (0.091):  58%|█████▊    | 58/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 533.333} (0.091):  59%|█████▉    | 59/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  60%|██████    | 60/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 533.333} (0.091):  61%|██████    | 61/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 533.333} (0.091):  62%|██████▏   | 62/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  63%|██████▎   | 63/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  64%|██████▍   | 64/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 533.333} (0.091):  65%|██████▌   | 65/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 533.333} (0.091):  66%|██████▌   | 66/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  67%|██████▋   | 67/100 [00:02<00:01, 32.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  68%|██████▊   | 68/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 533.333} (0.091):  68%|██████▊   | 68/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.024 | Best: {'fx': 533.333} (0.091):  69%|██████▉   | 69/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 533.333} (0.091):  70%|███████   | 70/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  71%|███████   | 71/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  72%|███████▏  | 72/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  73%|███████▎  | 73/100 [00:02<00:00, 48.74it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  74%|███████▍  | 74/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  74%|███████▍  | 74/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  75%|███████▌  | 75/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  76%|███████▌  | 76/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  77%|███████▋  | 77/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 533.333} (0.091):  78%|███████▊  | 78/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  79%|███████▉  | 79/100 [00:02<00:00, 45.25it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  80%|████████  | 80/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  80%|████████  | 80/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  81%|████████  | 81/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  82%|████████▏ | 82/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  83%|████████▎ | 83/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  84%|████████▍ | 84/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  85%|████████▌ | 85/100 [00:02<00:00, 40.66it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  86%|████████▌ | 86/100 [00:02<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  86%|████████▌ | 86/100 [00:02<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  87%|████████▋ | 87/100 [00:03<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  88%|████████▊ | 88/100 [00:03<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  89%|████████▉ | 89/100 [00:03<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  90%|█████████ | 90/100 [00:03<00:00, 42.72it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  91%|█████████ | 91/100 [00:03<00:00, 33.70it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  91%|█████████ | 91/100 [00:03<00:00, 33.70it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  92%|█████████▏| 92/100 [00:03<00:00, 33.70it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 533.333} (0.091):  93%|█████████▎| 93/100 [00:03<00:00, 33.70it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  94%|█████████▍| 94/100 [00:03<00:00, 33.70it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  95%|█████████▌| 95/100 [00:03<00:00, 34.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  95%|█████████▌| 95/100 [00:03<00:00, 34.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  96%|█████████▌| 96/100 [00:03<00:00, 34.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  97%|█████████▋| 97/100 [00:03<00:00, 34.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  98%|█████████▊| 98/100 [00:03<00:00, 34.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  99%|█████████▉| 99/100 [00:03<00:00, 32.15it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 533.333} (0.091):  99%|█████████▉| 99/100 [00:03<00:00, 32.15it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.054 | Best: {'fx': 508.333} (0.054):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.054 | Best: {'fx': 508.333} (0.054):   2%|▏         | 1/50 [00:00<00:25,  1.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.056 | Best: {'fx': 509.354} (0.056):   2%|▏         | 1/50 [00:00<00:25,  1.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.060 | Best: {'fx': 512.415} (0.060):   4%|▍         | 2/50 [00:00<00:25,  1.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.059 | Best: {'fx': 512.415} (0.060):   6%|▌         | 3/50 [00:00<00:24,  1.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.059 | Best: {'fx': 512.415} (0.060):   8%|▊         | 4/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.062 | Best: {'fx': 513.435} (0.062):   8%|▊         | 4/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.069 | Best: {'fx': 516.497} (0.069):  10%|█         | 5/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.057 | Best: {'fx': 516.497} (0.069):  12%|█▏        | 6/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.067 | Best: {'fx': 516.497} (0.069):  14%|█▍        | 7/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.072 | Best: {'fx': 518.537} (0.072):  16%|█▌        | 8/50 [00:00<00:06,  6.90it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.072 | Best: {'fx': 518.537} (0.072):  18%|█▊        | 9/50 [00:00<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.064 | Best: {'fx': 518.537} (0.072):  18%|█▊        | 9/50 [00:00<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.077 | Best: {'fx': 520.578} (0.077):  20%|██        | 10/50 [00:00<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.071 | Best: {'fx': 520.578} (0.077):  22%|██▏       | 11/50 [00:00<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.071 | Best: {'fx': 520.578} (0.077):  24%|██▍       | 12/50 [00:00<00:02, 17.72it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.074 | Best: {'fx': 520.578} (0.077):  24%|██▍       | 12/50 [00:00<00:02, 17.72it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.080 | Best: {'fx': 521.599} (0.080):  26%|██▌       | 13/50 [00:01<00:02, 17.72it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.084 | Best: {'fx': 523.639} (0.084):  28%|██▊       | 14/50 [00:01<00:02, 17.72it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.082 | Best: {'fx': 523.639} (0.084):  30%|███       | 15/50 [00:01<00:01, 17.72it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.082 | Best: {'fx': 523.639} (0.084):  32%|███▏      | 16/50 [00:01<00:01, 21.54it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.087 | Best: {'fx': 524.66} (0.087):  32%|███▏      | 16/50 [00:01<00:01, 21.54it/s] 
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.090 | Best: {'fx': 525.68} (0.090):  34%|███▍      | 17/50 [00:01<00:01, 21.54it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.093 | Best: {'fx': 527.721} (0.093):  36%|███▌      | 18/50 [00:01<00:01, 21.54it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.093 | Best: {'fx': 527.721} (0.093):  38%|███▊      | 19/50 [00:01<00:01, 22.87it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.093 | Best: {'fx': 527.721} (0.093):  38%|███▊      | 19/50 [00:01<00:01, 22.87it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.095 | Best: {'fx': 528.741} (0.095):  40%|████      | 20/50 [00:01<00:01, 22.87it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.091 | Best: {'fx': 528.741} (0.095):  42%|████▏     | 21/50 [00:01<00:01, 22.87it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.091 | Best: {'fx': 528.741} (0.095):  44%|████▍     | 22/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.080 | Best: {'fx': 528.741} (0.095):  44%|████▍     | 22/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.094 | Best: {'fx': 528.741} (0.095):  46%|████▌     | 23/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.092 | Best: {'fx': 528.741} (0.095):  48%|████▊     | 24/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.095 | Best: {'fx': 529.762} (0.095):  50%|█████     | 25/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.090 | Best: {'fx': 529.762} (0.095):  52%|█████▏    | 26/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.085 | Best: {'fx': 529.762} (0.095):  54%|█████▍    | 27/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.090 | Best: {'fx': 529.762} (0.095):  56%|█████▌    | 28/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.084 | Best: {'fx': 529.762} (0.095):  58%|█████▊    | 29/50 [00:01<00:01, 19.28it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.084 | Best: {'fx': 529.762} (0.095):  60%|██████    | 30/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.074 | Best: {'fx': 529.762} (0.095):  60%|██████    | 30/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.089 | Best: {'fx': 529.762} (0.095):  62%|██████▏   | 31/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.089 | Best: {'fx': 529.762} (0.095):  64%|██████▍   | 32/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.079 | Best: {'fx': 529.762} (0.095):  66%|██████▌   | 33/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.075 | Best: {'fx': 529.762} (0.095):  68%|██████▊   | 34/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.076 | Best: {'fx': 529.762} (0.095):  70%|███████   | 35/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.087 | Best: {'fx': 529.762} (0.095):  72%|███████▏  | 36/50 [00:01<00:00, 30.67it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.087 | Best: {'fx': 529.762} (0.095):  74%|███████▍  | 37/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.069 | Best: {'fx': 529.762} (0.095):  74%|███████▍  | 37/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.088 | Best: {'fx': 529.762} (0.095):  76%|███████▌  | 38/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.068 | Best: {'fx': 529.762} (0.095):  78%|███████▊  | 39/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.064 | Best: {'fx': 529.762} (0.095):  80%|████████  | 40/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.066 | Best: {'fx': 529.762} (0.095):  82%|████████▏ | 41/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.072 | Best: {'fx': 529.762} (0.095):  84%|████████▍ | 42/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.071 | Best: {'fx': 529.762} (0.095):  86%|████████▌ | 43/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.063 | Best: {'fx': 529.762} (0.095):  88%|████████▊ | 44/50 [00:01<00:00, 36.91it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.063 | Best: {'fx': 529.762} (0.095):  90%|█████████ | 45/50 [00:01<00:00, 43.77it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.062 | Best: {'fx': 529.762} (0.095):  90%|█████████ | 45/50 [00:01<00:00, 43.77it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.059 | Best: {'fx': 529.762} (0.095):  92%|█████████▏| 46/50 [00:01<00:00, 43.77it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.061 | Best: {'fx': 529.762} (0.095):  94%|█████████▍| 47/50 [00:01<00:00, 43.77it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.058 | Best: {'fx': 529.762} (0.095):  96%|█████████▌| 48/50 [00:01<00:00, 43.77it/s]
Brute | Start: {'fx': 533.333} (0.091) | Current: 0.057 | Best: {'fx': 529.762} (0.095):  98%|█████████▊| 49/50 [00:01<00:00, 43.77it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 529.7619047619048
    px: 1022.0
    py: 793.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


[🔲] Square Reference Optimization
    Including tangential distortion parameters (p1, p2, p3, p4) in joint optimization
  Selecting up to 20 frames per rig (excluded 0 incomplete frames): 80 frames will be used for optimization
  Rigs: 1500(1500mm):20/20, 2000L(2000mm):20/20, 1000(1000mm):20/20, 2000R(2000mm):20/20
  Total: 80/80 frames used for optimization

Initial score: 26.4655: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 26.4655, picklable_objective(x0) = 26.4774

Best score: 26.4774: : 0iter [00:02, ?iter/s] 
Best score: 26.4774: : 1iter [00:02,  2.02s/iter]
Best score: 26.4774: : 1iter [00:02,  2.02s/iter]
Best score: 26.4774: : 2iter [00:02,  2.02s/iter]
Best score: 26.4774: : 3iter [00:02,  1.70iter/s]
Best score: 26.4774: : 3iter [00:02,  1.70iter/s]
Best score: 26.4774: : 4iter [00:02,  1.70iter/s]
Best score: 26.4774: : 5iter [00:02,  3.02iter/s]
Best score: 26.4774: : 5iter [00:02,  3.02iter/s]
Best score: 26.4774: : 6iter [00:02,  3.02iter/s]
Best score: 26.4774: : 7iter [00:02,  4.40iter/s]
Best score: 26.4774: : 7iter [00:02,  4.40iter/s]
Best score: 26.4774: : 8iter [00:02,  4.40iter/s]
Best score: 26.4774: : 9iter [00:02,  5.74iter/s]
Best score: 26.4774: : 9iter [00:02,  5.74iter/s]
Best score: 26.4774: : 10iter [00:02,  5.74iter/s]
Best score: 26.4774: : 11iter [00:02,  6.91iter/s]
Best score: 26.4774: : 11iter [00:02,  6.91iter/s]
Best score: 26.4774: : 12iter [00:03,  6.91iter/s]
Best score: 26.4774: : 13iter [00:03,  8.00iter/s]
Best score: 26.4774: : 13iter [00:03,  8.00iter/s]
Best score: 26.4774: : 14iter [00:03,  8.00iter/s]
Best score: 26.4774: : 15iter [00:03,  8.88iter/s]
Best score: 26.4774: : 15iter [00:03,  8.88iter/s]
Best score: 26.4774: : 16iter [00:03,  8.88iter/s]
Best score: 26.4774: : 17iter [00:03,  9.60iter/s]
Best score: 26.4774: : 17iter [00:03,  9.60iter/s]
Best score: 26.4774: : 18iter [00:03,  9.60iter/s]
Best score: 26.4774: : 19iter [00:03, 10.15iter/s]
Best score: 26.4774: : 19iter [00:03, 10.15iter/s]
Best score: 26.4774: : 20iter [00:03, 10.15iter/s]
Best score: 26.4774: : 21iter [00:03, 10.44iter/s]
Best score: 26.4774: : 21iter [00:03, 10.44iter/s]
Best score: 26.4774: : 22iter [00:03, 10.44iter/s]
Best score: 26.4774: : 23iter [00:03, 10.83iter/s]
Best score: 26.4774: : 23iter [00:04, 10.83iter/s]
Best score: 26.4774: : 24iter [00:04, 10.83iter/s]
Best score: 26.4774: : 25iter [00:04, 11.08iter/s]
Best score: 26.4774: : 25iter [00:04, 11.08iter/s]
Best score: 26.4774: : 26iter [00:04, 11.08iter/s]
Best score: 26.4774: : 27iter [00:04, 11.25iter/s]
Best score: 26.4774: : 27iter [00:04, 11.25iter/s]
Best score: 26.4774: : 28iter [00:04, 11.25iter/s]
Best score: 26.4774: : 29iter [00:04, 11.37iter/s]
Best score: 26.4774: : 29iter [00:04, 11.37iter/s]
Best score: 26.4774: : 30iter [00:04, 11.37iter/s]
Best score: 26.4774: : 31iter [00:04, 11.33iter/s]
Best score: 26.4774: : 31iter [00:04, 11.33iter/s]
Best score: 26.4774: : 32iter [00:04, 11.33iter/s]
Best score: 26.4774: : 33iter [00:04, 11.43iter/s]
Best score: 26.4774: : 33iter [00:04, 11.43iter/s]
Best score: 26.4774: : 34iter [00:04, 11.43iter/s]
Best score: 26.4774: : 35iter [00:04, 11.56iter/s]
Best score: 26.4774: : 35iter [00:05, 11.56iter/s]
Best score: 26.4774: : 36iter [00:05, 11.56iter/s]
Best score: 26.4774: : 37iter [00:05, 11.63iter/s]
Best score: 26.4774: : 37iter [00:05, 11.63iter/s]
Best score: 26.4774: : 38iter [00:05, 11.63iter/s]
Best score: 26.4774: : 39iter [00:05, 11.65iter/s]
Best score: 26.4774: : 39iter [00:05, 11.65iter/s]
Best score: 26.4774: : 40iter [00:05, 11.65iter/s]
Best score: 26.4774: : 41iter [00:05, 11.48iter/s]
Best score: 26.4774: : 41iter [00:05, 11.48iter/s]
Best score: 26.4774: : 42iter [00:05, 11.48iter/s]
Best score: 26.4774: : 43iter [00:05, 11.49iter/s]
Best score: 26.4774: : 43iter [00:05, 11.49iter/s]
Best score: 26.4774: : 44iter [00:05, 11.49iter/s]
Best score: 26.4774: : 45iter [00:05, 11.56iter/s]
Best score: 26.4774: : 45iter [00:05, 11.56iter/s]
Best score: 26.4774: : 46iter [00:06, 11.56iter/s]
Best score: 26.4774: : 47iter [00:06, 11.62iter/s]
Best score: 26.4774: : 47iter [00:06, 11.62iter/s]
Best score: 26.4774: : 48iter [00:06, 11.62iter/s]
Best score: 26.4774: : 49iter [00:06, 11.64iter/s]
[ITER 50] Best: 26.4774
[PARAMS] Current best parameters:
  fx: 529.7619
  fy: 529.7619
  px: 1022.0000
  py: 793.0000
  k1: 0.00000000
  k2: -0.00000000
  k3: 0.00000000
  k4: 0.00000000
  p1: 0.00000000
  p2: 0.00000000
  p3: 0.00000000
  p4: 0.00000000
  s1: 0.0000
  s2: 0.0000
  s3: 0.0000
  s4: 0.0000
  tilt_x: 0.0000
  tilt_y: 0.0000
  scale: 3.0000
  rotation: 0.0000

Best score: 26.4774: : 49iter [00:06, 11.64iter/s]
Best score: 26.4774: : 50iter [00:06, 11.64iter/s]
Best score: 26.4774: : 51iter [00:06, 11.49iter/s]
Best score: 26.4774: : 51iter [00:06, 11.49iter/s]
Best score: 26.4774: : 52iter [00:06, 11.49iter/s]
Best score: 26.4774: : 53iter [00:06, 11.59iter/s]
Best score: 26.4774: : 53iter [00:06, 11.59iter/s]
Best score: 26.4774: : 54iter [00:06, 11.59iter/s]
Best score: 26.4774: : 55iter [00:06, 11.65iter/s]
Best score: 26.4774: : 55iter [00:06, 11.65iter/s]
Best score: 26.4774: : 56iter [00:06, 11.65iter/s]
Best score: 26.4774: : 57iter [00:06, 11.71iter/s]
Best score: 26.4774: : 57iter [00:06, 11.71iter/s]
Best score: 26.4774: : 58iter [00:07, 11.71iter/s]
Best score: 26.4774: : 59iter [00:07, 11.75iter/s]
Best score: 26.4774: : 59iter [00:07, 11.75iter/s]
Best score: 26.4774: : 60iter [00:07, 11.75iter/s]
Best score: 26.4774: : 61iter [00:07, 11.61iter/s]
Best score: 26.4774: : 61iter [00:07, 11.61iter/s]
Best score: 26.4774: : 62iter [00:07, 11.61iter/s]
Best score: 26.4774: : 63iter [00:07, 11.67iter/s]
Best score: 26.4774: : 63iter [00:07, 11.67iter/s]
Best score: 26.4774: : 64iter [00:07, 11.67iter/s]
Best score: 26.4774: : 65iter [00:07, 11.67iter/s]
Best score: 26.4774: : 65iter [00:07, 11.67iter/s]
Best score: 26.4774: : 66iter [00:07, 11.67iter/s]
Best score: 26.4774: : 67iter [00:07, 11.72iter/s]
Best score: 26.4774: : 67iter [00:07, 11.72iter/s]
Best score: 26.4774: : 68iter [00:07, 11.72iter/s]
Best score: 26.4774: : 69iter [00:07, 11.73iter/s]
Best score: 26.4774: : 69iter [00:07, 11.73iter/s]
Best score: 26.4774: : 70iter [00:08, 11.73iter/s]
Best score: 26.4774: : 71iter [00:08, 11.56iter/s]
Best score: 26.4774: : 71iter [00:08, 11.56iter/s]
Best score: 26.4774: : 72iter [00:08, 11.56iter/s]
Best score: 26.4774: : 73iter [00:08, 11.68iter/s]
Best score: 26.4774: : 73iter [00:08, 11.68iter/s]
Best score: 26.4774: : 74iter [00:08, 11.68iter/s]
Best score: 26.4774: : 75iter [00:08, 11.76iter/s]
Best score: 26.4774: : 75iter [00:08, 11.76iter/s]
Best score: 26.4774: : 76iter [00:08, 11.76iter/s]
Best score: 26.4774: : 77iter [00:08, 11.75iter/s]
Best score: 26.4774: : 77iter [00:08, 11.75iter/s]
Best score: 26.4774: : 78iter [00:08, 11.75iter/s]
Best score: 26.4774: : 79iter [00:08, 11.79iter/s]
Best score: 22.7888: : 79iter [00:08, 11.79iter/s]
Best score: 22.7888: : 80iter [00:08, 11.79iter/s]
Best score: 22.7888: : 81iter [00:08, 11.61iter/s]
Best score: 22.7888: : 81iter [00:08, 11.61iter/s]
Best score: 22.7888: : 82iter [00:09, 11.61iter/s]
Best score: 22.7888: : 83iter [00:09, 11.70iter/s]
Best score: 22.7888: : 83iter [00:09, 11.70iter/s]
Best score: 22.7888: : 84iter [00:09, 11.70iter/s]
Best score: 22.7888: : 85iter [00:09, 11.76iter/s]
Best score: 22.7888: : 85iter [00:09, 11.76iter/s]
Best score: 22.7888: : 86iter [00:09, 11.76iter/s]
Best score: 22.7888: : 87iter [00:09, 11.82iter/s]
Best score: 22.7888: : 87iter [00:09, 11.82iter/s]
Best score: 22.7888: : 88iter [00:09, 11.82iter/s]
Best score: 22.7888: : 89iter [00:09, 11.83iter/s]
Best score: 9.9487: : 89iter [00:09, 11.83iter/s] 
Best score: 9.9487: : 90iter [00:09, 11.83iter/s]
Best score: 9.9487: : 91iter [00:09, 11.61iter/s]
Best score: 9.9487: : 91iter [00:09, 11.61iter/s]
Best score: 9.9487: : 92iter [00:09, 11.61iter/s]
Best score: 9.9487: : 93iter [00:09, 11.66iter/s]
Best score: 9.9487: : 93iter [00:10, 11.66iter/s]
Best score: 9.9487: : 94iter [00:10, 11.66iter/s]
Best score: 9.9487: : 95iter [00:10, 11.70iter/s]
Best score: 9.9487: : 95iter [00:10, 11.70iter/s]
Best score: 9.9487: : 96iter [00:10, 11.70iter/s]
Best score: 9.9487: : 97iter [00:10, 11.73iter/s]
Best score: 9.9487: : 97iter [00:10, 11.73iter/s]
Best score: 9.9487: : 98iter [00:10, 11.73iter/s]
Best score: 9.9487: : 99iter [00:10, 11.79iter/s]
[ITER 100] Best: 6.7077
[PARAMS] Current best parameters:
  fx: 540.3725
  fy: 542.5597
  px: 1042.2269
  py: 791.0187
  k1: -0.00156997
  k2: 0.03197984
  k3: -0.04721122
  k4: 0.01496332
  p1: -0.01519939
  p2: -0.00217012
  p3: 0.00202666
  p4: -0.00131160
  s1: 0.0209
  s2: 0.0196
  s3: 0.0070
  s4: 0.0088
  tilt_x: 0.0107
  tilt_y: -0.0482
  scale: 2.9667
  rotation: 0.8065

Best score: 6.7077: : 99iter [00:10, 11.79iter/s]
Best score: 6.7077: : 100iter [00:10, 11.79iter/s]
Best score: 6.7077: : 101iter [00:10, 10.06iter/s]
Best score: 6.7077: : 101iter [00:10, 10.06iter/s]
Best score: 6.7077: : 102iter [00:10, 10.06iter/s]
Best score: 6.7077: : 103iter [00:10, 10.45iter/s]
Best score: 6.7077: : 103iter [00:10, 10.45iter/s]
Best score: 6.7077: : 104iter [00:11, 10.45iter/s]
Best score: 6.7077: : 105iter [00:11, 10.76iter/s]
Best score: 6.7077: : 105iter [00:11, 10.76iter/s]
Best score: 6.7077: : 106iter [00:11, 10.76iter/s]
Best score: 6.7077: : 107iter [00:11, 10.98iter/s]
Best score: 6.7077: : 107iter [00:11, 10.98iter/s]
Best score: 6.7077: : 108iter [00:11, 10.98iter/s]
Best score: 6.7077: : 109iter [00:11, 11.13iter/s]
Best score: 6.7077: : 109iter [00:11, 11.13iter/s]
Best score: 6.7077: : 110iter [00:11, 11.13iter/s]
Best score: 6.7077: : 111iter [00:11, 11.04iter/s]
Best score: 6.7077: : 111iter [00:11, 11.04iter/s]
Best score: 6.7077: : 112iter [00:11, 11.04iter/s]
Best score: 6.7077: : 113iter [00:11, 11.22iter/s]
Best score: 6.7077: : 113iter [00:11, 11.22iter/s]
Best score: 6.7077: : 114iter [00:11, 11.22iter/s]
Best score: 6.7077: : 115iter [00:11, 11.32iter/s]
Best score: 6.7077: : 115iter [00:12, 11.32iter/s]
Best score: 6.7077: : 116iter [00:12, 11.32iter/s]
Best score: 6.7077: : 117iter [00:12, 11.42iter/s]
Best score: 6.7077: : 117iter [00:12, 11.42iter/s]
Best score: 6.7077: : 118iter [00:12, 11.42iter/s]
Best score: 6.7077: : 119iter [00:12, 11.43iter/s]
Best score: 6.7077: : 119iter [00:12, 11.43iter/s]
Best score: 6.7077: : 120iter [00:12, 11.43iter/s]
Best score: 6.7077: : 121iter [00:12, 11.35iter/s]
Best score: 6.7077: : 121iter [00:12, 11.35iter/s]
Best score: 6.7077: : 122iter [00:12, 11.35iter/s]
Best score: 6.7077: : 123iter [00:12, 11.39iter/s]
Best score: 6.7077: : 123iter [00:12, 11.39iter/s]
Best score: 6.7077: : 124iter [00:12, 11.39iter/s]
Best score: 6.7077: : 125iter [00:12, 11.45iter/s]
Best score: 6.7077: : 125iter [00:12, 11.45iter/s]
Best score: 6.7077: : 126iter [00:12, 11.45iter/s]
Best score: 6.7077: : 127iter [00:12, 11.48iter/s]
Best score: 6.7077: : 127iter [00:13, 11.48iter/s]
Best score: 6.7077: : 128iter [00:13, 11.48iter/s]
Best score: 6.7077: : 129iter [00:13, 11.51iter/s]
Best score: 6.7077: : 129iter [00:13, 11.51iter/s]
Best score: 6.7077: : 130iter [00:13, 11.51iter/s]
Best score: 6.7077: : 131iter [00:13, 11.38iter/s]
Best score: 6.7077: : 131iter [00:13, 11.38iter/s]
Best score: 6.7077: : 132iter [00:13, 11.38iter/s]
Best score: 6.7077: : 133iter [00:13, 11.45iter/s]
Best score: 6.7077: : 133iter [00:13, 11.45iter/s]
Best score: 6.7077: : 134iter [00:13, 11.45iter/s]
Best score: 6.7077: : 135iter [00:13, 11.49iter/s]
Best score: 6.7077: : 135iter [00:13, 11.49iter/s]
Best score: 6.7077: : 136iter [00:13, 11.49iter/s]
Best score: 6.7077: : 137iter [00:13, 11.53iter/s]
Best score: 6.7077: : 137iter [00:13, 11.53iter/s]
Best score: 6.7077: : 138iter [00:14, 11.53iter/s]
Best score: 6.7077: : 139iter [00:14, 11.59iter/s]
Best score: 6.7077: : 139iter [00:14, 11.59iter/s]
Best score: 6.7077: : 140iter [00:14, 11.59iter/s]
Best score: 6.7077: : 141iter [00:14, 11.50iter/s]
Best score: 6.7077: : 141iter [00:14, 11.50iter/s]
Best score: 6.7077: : 142iter [00:14, 11.50iter/s]
Best score: 6.7077: : 143iter [00:14, 11.53iter/s]
Best score: 6.7077: : 143iter [00:14, 11.53iter/s]
Best score: 6.7077: : 144iter [00:14, 11.53iter/s]
Best score: 6.7077: : 145iter [00:14, 11.50iter/s]
Best score: 6.7077: : 145iter [00:14, 11.50iter/s]
Best score: 6.7077: : 146iter [00:14, 11.50iter/s]
Best score: 6.7077: : 147iter [00:14, 11.53iter/s]
Best score: 6.7077: : 147iter [00:14, 11.53iter/s]
Best score: 6.7077: : 148iter [00:14, 11.53iter/s]
Best score: 6.7077: : 149iter [00:14, 11.58iter/s]
[ITER 150] Best: 6.7077
[PARAMS] Current best parameters:
  fx: 540.3725
  fy: 542.5597
  px: 1042.2269
  py: 791.0187
  k1: -0.00156997
  k2: 0.03197984
  k3: -0.04721122
  k4: 0.01496332
  p1: -0.01519939
  p2: -0.00217012
  p3: 0.00202666
  p4: -0.00131160
  s1: 0.0209
  s2: 0.0196
  s3: 0.0070
  s4: 0.0088
  tilt_x: 0.0107
  tilt_y: -0.0482
  scale: 2.9667
  rotation: 0.8065

Best score: 6.7077: : 149iter [00:14, 11.58iter/s]
Best score: 6.7077: : 150iter [00:15, 11.58iter/s]
Best score: 6.7077: : 151iter [00:15,  7.48iter/s]
Best score: 6.7077: : 151iter [00:15,  7.48iter/s]
Best score: 6.7077: : 152iter [00:15,  7.48iter/s]
Best score: 6.7077: : 153iter [00:15,  8.41iter/s]
Best score: 6.7077: : 153iter [00:15,  8.41iter/s]
Best score: 6.7077: : 154iter [00:15,  8.41iter/s]
Best score: 6.7077: : 155iter [00:15,  9.24iter/s]
Best score: 6.7077: : 155iter [00:15,  9.24iter/s]
Best score: 6.7077: : 156iter [00:15,  9.24iter/s]
Best score: 6.7077: : 157iter [00:15,  9.88iter/s]
Best score: 6.7077: : 157iter [00:15,  9.88iter/s]
Best score: 6.7077: : 158iter [00:16,  9.88iter/s]
Best score: 6.7077: : 159iter [00:16, 10.41iter/s]
Best score: 6.7077: : 159iter [00:16, 10.41iter/s]
Best score: 6.7077: : 160iter [00:16, 10.41iter/s]
Best score: 6.7077: : 161iter [00:16, 10.66iter/s]
Best score: 6.7077: : 161iter [00:16, 10.66iter/s]
Best score: 6.7077: : 162iter [00:16, 10.66iter/s]
Best score: 6.7077: : 163iter [00:16, 10.98iter/s]
Best score: 6.7077: : 163iter [00:16, 10.98iter/s]
Best score: 6.7077: : 164iter [00:16, 10.98iter/s]
Best score: 6.7077: : 165iter [00:16, 11.24iter/s]
Best score: 6.7077: : 165iter [00:16, 11.24iter/s]
Best score: 6.7077: : 166iter [00:16, 11.24iter/s]
Best score: 6.7077: : 167iter [00:16, 11.43iter/s]
Best score: 6.7077: : 167iter [00:16, 11.43iter/s]
Best score: 6.7077: : 168iter [00:16, 11.43iter/s]
Best score: 6.7077: : 169iter [00:16, 11.55iter/s]
Best score: 6.7077: : 169iter [00:16, 11.55iter/s]
Best score: 6.7077: : 170iter [00:17, 11.55iter/s]
Best score: 6.7077: : 171iter [00:17, 11.45iter/s]
Best score: 6.7077: : 171iter [00:17, 11.45iter/s]
Best score: 6.7077: : 172iter [00:17, 11.45iter/s]
Best score: 6.7077: : 173iter [00:17,  9.20iter/s]
Best score: 6.7077: : 173iter [00:17,  9.20iter/s]
Best score: 6.7077: : 174iter [00:17,  9.20iter/s]
Best score: 6.7077: : 175iter [00:17,  9.84iter/s]
Best score: 6.7077: : 175iter [00:17,  9.84iter/s]
Best score: 6.7077: : 176iter [00:17,  9.84iter/s]
Best score: 6.7077: : 177iter [00:17, 10.37iter/s]
Best score: 6.7077: : 177iter [00:17, 10.37iter/s]
Best score: 6.7077: : 178iter [00:17, 10.37iter/s]
Best score: 6.7077: : 179iter [00:17, 10.77iter/s]
Best score: 6.7077: : 179iter [00:17, 10.77iter/s]
Best score: 6.7077: : 180iter [00:18, 10.77iter/s]
Best score: 6.7077: : 181iter [00:18, 10.93iter/s]
Best score: 6.7077: : 181iter [00:18, 10.93iter/s]
Best score: 6.7077: : 182iter [00:18, 10.93iter/s]
Best score: 6.7077: : 183iter [00:18, 11.22iter/s]
Best score: 6.7077: : 183iter [00:18, 11.22iter/s]
Best score: 6.7077: : 184iter [00:18, 11.22iter/s]
Best score: 6.7077: : 185iter [00:18, 11.40iter/s]
Best score: 6.7077: : 185iter [00:18, 11.40iter/s]
Best score: 6.7077: : 186iter [00:18, 11.40iter/s]
Best score: 6.7077: : 187iter [00:18, 11.56iter/s]
Best score: 6.7077: : 187iter [00:18, 11.56iter/s]
Best score: 6.7077: : 188iter [00:18, 11.56iter/s]
Best score: 6.7077: : 189iter [00:18, 11.69iter/s]
Best score: 3.8743: : 189iter [00:18, 11.69iter/s]
Best score: 3.8743: : 190iter [00:18, 11.69iter/s]
Best score: 3.8743: : 191iter [00:18, 11.55iter/s]
Best score: 3.8743: : 191iter [00:19, 11.55iter/s]
Best score: 3.8743: : 192iter [00:19, 11.55iter/s]
Best score: 3.8743: : 193iter [00:19, 11.67iter/s]
Best score: 3.8743: : 193iter [00:19, 11.67iter/s]
Best score: 3.8743: : 194iter [00:19, 11.67iter/s]
Best score: 3.8743: : 195iter [00:19, 11.78iter/s]
Best score: 3.8743: : 195iter [00:19, 11.78iter/s]
Best score: 3.8743: : 196iter [00:19, 11.78iter/s]
Best score: 3.8743: : 197iter [00:19, 11.86iter/s]
Best score: 3.8743: : 197iter [00:19, 11.86iter/s]
Best score: 3.8743: : 198iter [00:19, 11.86iter/s]
Best score: 3.8743: : 199iter [00:19, 11.85iter/s]
[ITER 200] Best: 3.8743
[PARAMS] Current best parameters:
  fx: 552.6317
  fy: 552.2232
  px: 1043.8783
  py: 778.8791
  k1: -0.04405406
  k2: 0.06586155
  k3: -0.05372541
  k4: 0.01342813
  p1: -0.02189530
  p2: 0.01589521
  p3: -0.00679162
  p4: -0.01197573
  s1: 0.0222
  s2: 0.0194
  s3: -0.0015
  s4: 0.0180
  tilt_x: -0.0152
  tilt_y: -0.0172
  scale: 2.9871
  rotation: 0.7970

Best score: 3.8743: : 199iter [00:19, 11.85iter/s]
Best score: 3.8743: : 200iter [00:20, 11.85iter/s]
Best score: 3.8743: : 201iter [00:20,  7.58iter/s]
Best score: 3.8743: : 201iter [00:20,  7.58iter/s]
Best score: 3.8743: : 202iter [00:20,  7.58iter/s]
Best score: 3.8743: : 203iter [00:20,  8.54iter/s]
Best score: 3.8743: : 203iter [00:20,  8.54iter/s]
Best score: 3.8743: : 204iter [00:20,  8.54iter/s]
Best score: 3.8743: : 205iter [00:20,  9.33iter/s]
Best score: 3.8743: : 205iter [00:20,  9.33iter/s]
Best score: 3.8743: : 206iter [00:20,  9.33iter/s]
Best score: 3.8743: : 207iter [00:20,  9.99iter/s]
Best score: 3.8743: : 207iter [00:20,  9.99iter/s]
Best score: 3.8743: : 208iter [00:20,  9.99iter/s]
Best score: 3.8743: : 209iter [00:20, 10.54iter/s]
Best score: 3.8743: : 209iter [00:20, 10.54iter/s]
Best score: 3.8743: : 210iter [00:20, 10.54iter/s]
Best score: 3.8743: : 211iter [00:20, 10.77iter/s]
Best score: 3.8743: : 211iter [00:21, 10.77iter/s]
Best score: 3.8743: : 212iter [00:21, 10.77iter/s]
Best score: 3.8743: : 213iter [00:21, 11.10iter/s]
Best score: 3.8743: : 213iter [00:21, 11.10iter/s]
Best score: 3.8743: : 214iter [00:21, 11.10iter/s]
Best score: 3.8743: : 215iter [00:21, 11.36iter/s]
Best score: 3.8743: : 215iter [00:21, 11.36iter/s]
Best score: 3.8743: : 216iter [00:21, 11.36iter/s]
Best score: 3.8743: : 217iter [00:21, 11.49iter/s]
Best score: 3.8743: : 217iter [00:21, 11.49iter/s]
Best score: 3.8743: : 218iter [00:21, 11.49iter/s]
Best score: 3.8743: : 219iter [00:21, 11.60iter/s]
Best score: 3.2399: : 219iter [00:21, 11.60iter/s]
Best score: 3.2399: : 220iter [00:21, 11.60iter/s]
Best score: 3.2399: : 221iter [00:21, 11.54iter/s]
Best score: 3.2399: : 221iter [00:21, 11.54iter/s]
Best score: 3.2399: : 222iter [00:21, 11.54iter/s]
Best score: 3.2399: : 223iter [00:21, 11.68iter/s]
Best score: 3.2399: : 223iter [00:22, 11.68iter/s]
Best score: 3.2399: : 224iter [00:22, 11.68iter/s]
Best score: 3.2399: : 225iter [00:22, 11.74iter/s]
Best score: 3.2399: : 225iter [00:22, 11.74iter/s]
Best score: 3.2399: : 226iter [00:22, 11.74iter/s]
Best score: 3.2399: : 227iter [00:22, 11.79iter/s]
Best score: 3.2399: : 227iter [00:22, 11.79iter/s]
Best score: 3.2399: : 228iter [00:22, 11.79iter/s]
Best score: 3.2399: : 229iter [00:22, 11.82iter/s]
Best score: 3.0751: : 229iter [00:22, 11.82iter/s]
Best score: 3.0751: : 230iter [00:22, 11.82iter/s]
Best score: 3.0751: : 231iter [00:22, 11.65iter/s]
Best score: 3.0751: : 231iter [00:22, 11.65iter/s]
Best score: 3.0751: : 232iter [00:22, 11.65iter/s]
Best score: 3.0751: : 233iter [00:22, 11.72iter/s]
Best score: 3.0751: : 233iter [00:22, 11.72iter/s]
Best score: 3.0751: : 234iter [00:22, 11.72iter/s]
Best score: 3.0751: : 235iter [00:22, 11.81iter/s]
Best score: 3.0751: : 235iter [00:23, 11.81iter/s]
Best score: 3.0751: : 236iter [00:23, 11.81iter/s]
Best score: 3.0751: : 237iter [00:23, 11.83iter/s]
Best score: 3.0751: : 237iter [00:23, 11.83iter/s]
Best score: 3.0751: : 238iter [00:23, 11.83iter/s]
Best score: 3.0751: : 239iter [00:23, 11.88iter/s]
Best score: 2.0219: : 239iter [00:23, 11.88iter/s]
Best score: 2.0219: : 240iter [00:23, 11.88iter/s]
Best score: 2.0219: : 241iter [00:23, 11.69iter/s]
Best score: 2.0219: : 241iter [00:23, 11.69iter/s]
Best score: 2.0219: : 242iter [00:23, 11.69iter/s]
Best score: 2.0219: : 243iter [00:23, 11.77iter/s]
Best score: 2.0219: : 243iter [00:23, 11.77iter/s]
Best score: 2.0219: : 244iter [00:23, 11.77iter/s]
Best score: 2.0219: : 245iter [00:23, 11.84iter/s]
Best score: 2.0219: : 245iter [00:23, 11.84iter/s]
Best score: 2.0219: : 246iter [00:23, 11.84iter/s]
Best score: 2.0219: : 247iter [00:23, 11.89iter/s]
Best score: 2.0219: : 247iter [00:24, 11.89iter/s]
Best score: 2.0219: : 248iter [00:24, 11.89iter/s]
Best score: 2.0219: : 249iter [00:24, 11.90iter/s]
[ITER 250] Best: 1.9881
[PARAMS] Current best parameters:
  fx: 548.3922
  fy: 546.6575
  px: 1037.0744
  py: 794.7643
  k1: -0.00267995
  k2: -0.00974893
  k3: -0.00656782
  k4: 0.00478471
  p1: -0.01155418
  p2: 0.00692604
  p3: -0.00498076
  p4: -0.00451279
  s1: 0.0034
  s2: 0.0123
  s3: 0.0319
  s4: -0.0044
  tilt_x: 0.0332
  tilt_y: -0.0142
  scale: 2.9924
  rotation: 0.6549

Best score: 1.9881: : 249iter [00:24, 11.90iter/s]
Best score: 1.9881: : 250iter [00:24, 11.90iter/s]
Best score: 1.9881: : 251iter [00:24,  7.58iter/s]
Best score: 1.9881: : 251iter [00:24,  7.58iter/s]
Best score: 1.9881: : 252iter [00:24,  7.58iter/s]
Best score: 1.9881: : 253iter [00:24,  8.53iter/s]
Best score: 1.9881: : 253iter [00:24,  8.53iter/s]
Best score: 1.9881: : 254iter [00:24,  8.53iter/s]
Best score: 1.9881: : 255iter [00:24,  9.35iter/s]
Best score: 1.9881: : 255iter [00:25,  9.35iter/s]
Best score: 1.9881: : 256iter [00:25,  9.35iter/s]
Best score: 1.9881: : 257iter [00:25, 10.00iter/s]
Best score: 1.9881: : 257iter [00:25, 10.00iter/s]
Best score: 1.9881: : 258iter [00:25, 10.00iter/s]
Best score: 1.9881: : 259iter [00:25, 10.50iter/s]
Best score: 1.3323: : 259iter [00:25, 10.50iter/s]
Best score: 1.3323: : 260iter [00:25, 10.50iter/s]
Best score: 1.3323: : 261iter [00:25, 10.76iter/s]
Best score: 1.3323: : 261iter [00:25, 10.76iter/s]
Best score: 1.3323: : 262iter [00:25, 10.76iter/s]
Best score: 1.3323: : 263iter [00:25, 11.11iter/s]
Best score: 1.3323: : 263iter [00:25, 11.11iter/s]
Best score: 1.3323: : 264iter [00:25, 11.11iter/s]
Best score: 1.3323: : 265iter [00:25, 11.36iter/s]
Best score: 1.3323: : 265iter [00:25, 11.36iter/s]
Best score: 1.3323: : 266iter [00:25, 11.36iter/s]
Best score: 1.3323: : 267iter [00:25, 11.54iter/s]
Best score: 1.3323: : 267iter [00:26, 11.54iter/s]
Best score: 1.3323: : 268iter [00:26, 11.54iter/s]
Best score: 1.3323: : 269iter [00:26, 11.65iter/s]
Best score: 1.3323: : 269iter [00:26, 11.65iter/s]
Best score: 1.3323: : 270iter [00:26, 11.65iter/s]
Best score: 1.3323: : 271iter [00:26, 11.50iter/s]
Best score: 1.3323: : 271iter [00:26, 11.50iter/s]
Best score: 1.3323: : 272iter [00:26, 11.50iter/s]
Best score: 1.3323: : 273iter [00:26, 11.59iter/s]
Best score: 1.3323: : 273iter [00:26, 11.59iter/s]
Best score: 1.3323: : 274iter [00:26, 11.59iter/s]
Best score: 1.3323: : 275iter [00:26, 11.67iter/s]
Best score: 1.3323: : 275iter [00:26, 11.67iter/s]
Best score: 1.3323: : 276iter [00:26, 11.67iter/s]
Best score: 1.3323: : 277iter [00:26, 11.76iter/s]
Best score: 1.3323: : 277iter [00:26, 11.76iter/s]
Best score: 1.3323: : 278iter [00:26, 11.76iter/s]
Best score: 1.3323: : 279iter [00:26, 11.76iter/s]
Best score: 1.3144: : 279iter [00:27, 11.76iter/s]
Best score: 1.3144: : 280iter [00:27, 11.76iter/s]
Best score: 1.3144: : 281iter [00:27, 11.61iter/s]
Best score: 1.3144: : 281iter [00:27, 11.61iter/s]
Best score: 1.3144: : 282iter [00:27, 11.61iter/s]
Best score: 1.3144: : 283iter [00:27, 11.72iter/s]
Best score: 1.3144: : 283iter [00:27, 11.72iter/s]
Best score: 1.3144: : 284iter [00:27, 11.72iter/s]
Best score: 1.3144: : 285iter [00:27, 11.82iter/s]
Best score: 1.3144: : 285iter [00:27, 11.82iter/s]
Best score: 1.3144: : 286iter [00:27, 11.82iter/s]
Best score: 1.3144: : 287iter [00:27, 11.84iter/s]
Best score: 1.3144: : 287iter [00:27, 11.84iter/s]
Best score: 1.3144: : 288iter [00:27, 11.84iter/s]
Best score: 1.3144: : 289iter [00:27, 11.84iter/s]
Best score: 1.1562: : 289iter [00:27, 11.84iter/s]
Best score: 1.1562: : 290iter [00:28, 11.84iter/s]
Best score: 1.1562: : 291iter [00:28, 11.61iter/s]
Best score: 1.1562: : 291iter [00:28, 11.61iter/s]
Best score: 1.1562: : 292iter [00:28, 11.61iter/s]
Best score: 1.1562: : 293iter [00:28, 11.68iter/s]
Best score: 1.1562: : 293iter [00:28, 11.68iter/s]
Best score: 1.1562: : 294iter [00:28, 11.68iter/s]
Best score: 1.1562: : 295iter [00:28, 11.76iter/s]
Best score: 1.1562: : 295iter [00:28, 11.76iter/s]
Best score: 1.1562: : 296iter [00:28, 11.76iter/s]
Best score: 1.1562: : 297iter [00:28, 11.79iter/s]
Best score: 1.1562: : 297iter [00:28, 11.79iter/s]
Best score: 1.1562: : 298iter [00:28, 11.79iter/s]
Best score: 1.1562: : 299iter [00:28, 11.82iter/s]
[ITER 300] Best: 0.6083
[PARAMS] Current best parameters:
  fx: 573.7889
  fy: 573.1831
  px: 1039.7188
  py: 793.0472
  k1: -0.03547271
  k2: -0.00467864
  k3: 0.00231514
  k4: -0.00018802
  p1: -0.02206403
  p2: 0.00054425
  p3: -0.00326039
  p4: -0.00844297
  s1: 0.0231
  s2: 0.0071
  s3: 0.0286
  s4: 0.0084
  tilt_x: 0.0417
  tilt_y: -0.0375
  scale: 2.9808
  rotation: 0.3652

Best score: 0.6083: : 299iter [00:28, 11.82iter/s]
Best score: 0.6083: : 300iter [00:29, 11.82iter/s]
Best score: 0.6083: : 301iter [00:29,  7.55iter/s]
Best score: 0.6083: : 301iter [00:29,  7.55iter/s]
Best score: 0.6083: : 302iter [00:29,  7.55iter/s]
Best score: 0.6083: : 303iter [00:29,  8.47iter/s]
Best score: 0.6083: : 303iter [00:29,  8.47iter/s]
Best score: 0.6083: : 304iter [00:29,  8.47iter/s]
Best score: 0.6083: : 305iter [00:29,  9.25iter/s]
Best score: 0.6083: : 305iter [00:29,  9.25iter/s]
Best score: 0.6083: : 306iter [00:29,  9.25iter/s]
Best score: 0.6083: : 307iter [00:29,  9.87iter/s]
Best score: 0.6083: : 307iter [00:29,  9.87iter/s]
Best score: 0.6083: : 308iter [00:29,  9.87iter/s]
Best score: 0.6083: : 309iter [00:29, 10.39iter/s]
Best score: 0.6083: : 309iter [00:29, 10.39iter/s]
Best score: 0.6083: : 310iter [00:30, 10.39iter/s]
Best score: 0.6083: : 311iter [00:30, 10.66iter/s]
Best score: 0.6083: : 311iter [00:30, 10.66iter/s]
Best score: 0.6083: : 312iter [00:30, 10.66iter/s]
Best score: 0.6083: : 313iter [00:30, 11.02iter/s]
Best score: 0.6083: : 313iter [00:30, 11.02iter/s]
Best score: 0.6083: : 314iter [00:30, 11.02iter/s]
Best score: 0.6083: : 315iter [00:30, 11.29iter/s]
Best score: 0.6083: : 315iter [00:30, 11.29iter/s]
Best score: 0.6083: : 316iter [00:30, 11.29iter/s]
Best score: 0.6083: : 317iter [00:30, 11.50iter/s]
Best score: 0.6083: : 317iter [00:30, 11.50iter/s]
Best score: 0.6083: : 318iter [00:30, 11.50iter/s]
Best score: 0.6083: : 319iter [00:30, 11.62iter/s]
Best score: 0.5542: : 319iter [00:30, 11.62iter/s]
Best score: 0.5542: : 320iter [00:30, 11.62iter/s]
Best score: 0.5542: : 321iter [00:30, 11.49iter/s]
Best score: 0.5542: : 321iter [00:30, 11.49iter/s]
Best score: 0.5542: : 322iter [00:31, 11.49iter/s]
Best score: 0.5542: : 323iter [00:31, 11.64iter/s]
Best score: 0.5542: : 323iter [00:31, 11.64iter/s]
Best score: 0.5542: : 324iter [00:31, 11.64iter/s]
Best score: 0.5542: : 325iter [00:31, 11.74iter/s]
Best score: 0.5542: : 325iter [00:31, 11.74iter/s]
Best score: 0.5542: : 326iter [00:31, 11.74iter/s]
Best score: 0.5542: : 327iter [00:31, 11.80iter/s]
Best score: 0.5542: : 327iter [00:31, 11.80iter/s]
Best score: 0.5542: : 328iter [00:31, 11.80iter/s]
Best score: 0.5542: : 329iter [00:31, 11.86iter/s]
Best score: 0.5542: : 329iter [00:31, 11.86iter/s]
Best score: 0.5542: : 330iter [00:31, 11.86iter/s]
Best score: 0.5542: : 331iter [00:31, 11.69iter/s]
Best score: 0.5542: : 331iter [00:31, 11.69iter/s]
Best score: 0.5542: : 332iter [00:31, 11.69iter/s]
Best score: 0.5542: : 333iter [00:31, 11.78iter/s]
Best score: 0.5542: : 333iter [00:31, 11.78iter/s]
Best score: 0.5542: : 334iter [00:32, 11.78iter/s]
Best score: 0.5542: : 335iter [00:32, 11.83iter/s]
Best score: 0.5542: : 335iter [00:32, 11.83iter/s]
Best score: 0.5542: : 336iter [00:32, 11.83iter/s]
Best score: 0.5542: : 337iter [00:32, 11.89iter/s]
Best score: 0.5542: : 337iter [00:32, 11.89iter/s]
Best score: 0.5542: : 338iter [00:32, 11.89iter/s]
Best score: 0.5542: : 339iter [00:32, 11.88iter/s]
Best score: 0.5542: : 339iter [00:32, 11.88iter/s]
Best score: 0.5542: : 340iter [00:32, 11.88iter/s]
Best score: 0.5542: : 341iter [00:32, 11.71iter/s]
Best score: 0.5542: : 341iter [00:32, 11.71iter/s]
Best score: 0.5542: : 342iter [00:32, 11.71iter/s]
Best score: 0.5542: : 343iter [00:32, 11.81iter/s]
Best score: 0.5542: : 343iter [00:32, 11.81iter/s]
Best score: 0.5542: : 344iter [00:32, 11.81iter/s]
Best score: 0.5542: : 345iter [00:32, 11.85iter/s]
Best score: 0.5542: : 345iter [00:32, 11.85iter/s]
Best score: 0.5542: : 346iter [00:33, 11.85iter/s]
Best score: 0.5542: : 347iter [00:33, 11.86iter/s]
Best score: 0.5542: : 347iter [00:33, 11.86iter/s]
Best score: 0.5542: : 348iter [00:33, 11.86iter/s]
Best score: 0.5542: : 349iter [00:33, 11.90iter/s]
[ITER 350] Best: 0.5272
[PARAMS] Current best parameters:
  fx: 582.9762
  fy: 582.3842
  px: 1039.5650
  py: 792.0968
  k1: -0.03515415
  k2: -0.03213330
  k3: 0.02607177
  k4: -0.00622978
  p1: -0.02239264
  p2: -0.00047448
  p3: -0.00645117
  p4: -0.00353567
  s1: 0.0296
  s2: 0.0036
  s3: 0.0338
  s4: 0.0016
  tilt_x: 0.0384
  tilt_y: -0.0362
  scale: 2.9852
  rotation: 0.3677

Best score: 0.5272: : 349iter [00:33, 11.90iter/s]
Best score: 0.5272: : 350iter [00:33, 11.90iter/s]
Best score: 0.5272: : 351iter [00:33,  7.58iter/s]
Best score: 0.5272: : 351iter [00:33,  7.58iter/s]
Best score: 0.5272: : 352iter [00:33,  7.58iter/s]
Best score: 0.5272: : 353iter [00:33,  8.50iter/s]
Best score: 0.5272: : 353iter [00:33,  8.50iter/s]
Best score: 0.5272: : 354iter [00:34,  8.50iter/s]
Best score: 0.5272: : 355iter [00:34,  9.29iter/s]
Best score: 0.5272: : 355iter [00:34,  9.29iter/s]
Best score: 0.5272: : 356iter [00:34,  9.29iter/s]
Best score: 0.5272: : 357iter [00:34,  9.95iter/s]
Best score: 0.5272: : 357iter [00:34,  9.95iter/s]
Best score: 0.5272: : 358iter [00:34,  9.95iter/s]
Best score: 0.5272: : 359iter [00:34, 10.48iter/s]
Best score: 0.5272: : 359iter [00:34, 10.48iter/s]
Best score: 0.5272: : 360iter [00:34, 10.48iter/s]
Best score: 0.5272: : 361iter [00:34, 10.72iter/s]
Best score: 0.5272: : 361iter [00:34, 10.72iter/s]
Best score: 0.5272: : 362iter [00:34, 10.72iter/s]
Best score: 0.5272: : 363iter [00:34, 11.07iter/s]
Best score: 0.5272: : 363iter [00:34, 11.07iter/s]
Best score: 0.5272: : 364iter [00:34, 11.07iter/s]
Best score: 0.5272: : 365iter [00:34, 11.34iter/s]
Best score: 0.5272: : 365iter [00:34, 11.34iter/s]
Best score: 0.5272: : 366iter [00:35, 11.34iter/s]
Best score: 0.5272: : 367iter [00:35, 11.50iter/s]
Best score: 0.5272: : 367iter [00:35, 11.50iter/s]
Best score: 0.5272: : 368iter [00:35, 11.50iter/s]
Best score: 0.5272: : 369iter [00:35, 11.65iter/s]
Best score: 0.4457: : 369iter [00:35, 11.65iter/s]
Best score: 0.4457: : 370iter [00:35, 11.65iter/s]
Best score: 0.4457: : 371iter [00:35, 11.55iter/s]
Best score: 0.4457: : 371iter [00:35, 11.55iter/s]
Best score: 0.4457: : 372iter [00:35, 11.55iter/s]
Best score: 0.4457: : 373iter [00:35, 11.68iter/s]
Best score: 0.4457: : 373iter [00:35, 11.68iter/s]
Best score: 0.4457: : 374iter [00:35, 11.68iter/s]
Best score: 0.4457: : 375iter [00:35, 11.75iter/s]
Best score: 0.4457: : 375iter [00:35, 11.75iter/s]
Best score: 0.4457: : 376iter [00:35, 11.75iter/s]
Best score: 0.4457: : 377iter [00:35, 11.80iter/s]
Best score: 0.4457: : 377iter [00:36, 11.80iter/s]
Best score: 0.4457: : 378iter [00:36, 11.80iter/s]
Best score: 0.4457: : 379iter [00:36, 11.85iter/s]
Best score: 0.4443: : 379iter [00:36, 11.85iter/s]
Best score: 0.4443: : 380iter [00:36, 11.85iter/s]
Best score: 0.4443: : 381iter [00:36, 11.70iter/s]
Best score: 0.4443: : 381iter [00:36, 11.70iter/s]
Best score: 0.4443: : 382iter [00:36, 11.70iter/s]
Best score: 0.4443: : 383iter [00:36, 11.78iter/s]
Best score: 0.4443: : 383iter [00:36, 11.78iter/s]
Best score: 0.4443: : 384iter [00:36, 11.78iter/s]
Best score: 0.4443: : 385iter [00:36, 11.85iter/s]
Best score: 0.4443: : 385iter [00:36, 11.85iter/s]
Best score: 0.4443: : 386iter [00:36, 11.85iter/s]
Best score: 0.4443: : 387iter [00:36, 11.88iter/s]
Best score: 0.4443: : 387iter [00:36, 11.88iter/s]
Best score: 0.4443: : 388iter [00:36, 11.88iter/s]
Best score: 0.4443: : 389iter [00:36, 11.92iter/s]
Best score: 0.3807: : 389iter [00:37, 11.92iter/s]
Best score: 0.3807: : 390iter [00:37, 11.92iter/s]
Best score: 0.3807: : 391iter [00:37, 11.73iter/s]
Best score: 0.3807: : 391iter [00:37, 11.73iter/s]
Best score: 0.3807: : 392iter [00:37, 11.73iter/s]
Best score: 0.3807: : 393iter [00:37, 11.81iter/s]
Best score: 0.3807: : 393iter [00:37, 11.81iter/s]
Best score: 0.3807: : 394iter [00:37, 11.81iter/s]
Best score: 0.3807: : 395iter [00:37, 11.82iter/s]
Best score: 0.3807: : 395iter [00:37, 11.82iter/s]
Best score: 0.3807: : 396iter [00:37, 11.82iter/s]
Best score: 0.3807: : 397iter [00:37, 11.88iter/s]
Best score: 0.3807: : 397iter [00:37, 11.88iter/s]
Best score: 0.3807: : 398iter [00:37, 11.88iter/s]
Best score: 0.3807: : 399iter [00:37, 11.93iter/s]
[ITER 400] Best: 0.3807
[PARAMS] Current best parameters:
  fx: 582.3517
  fy: 581.5465
  px: 1040.2617
  py: 792.3089
  k1: -0.03911896
  k2: -0.02351630
  k3: 0.01924440
  k4: -0.00418051
  p1: -0.01891714
  p2: 0.00050554
  p3: -0.00984487
  p4: 0.00396371
  s1: 0.0337
  s2: -0.0075
  s3: 0.0319
  s4: -0.0059
  tilt_x: 0.0340
  tilt_y: -0.0393
  scale: 2.9908
  rotation: 0.3255

Best score: 0.3807: : 399iter [00:37, 11.93iter/s]
Best score: 0.3807: : 400iter [00:38, 11.93iter/s]
Best score: 0.3807: : 401iter [00:38,  7.59iter/s]
Best score: 0.3807: : 401iter [00:38,  7.59iter/s]
Best score: 0.3807: : 402iter [00:38,  7.59iter/s]
Best score: 0.3807: : 403iter [00:38,  8.50iter/s]
Best score: 0.3807: : 403iter [00:38,  8.50iter/s]
Best score: 0.3807: : 404iter [00:38,  8.50iter/s]
Best score: 0.3807: : 405iter [00:38,  9.30iter/s]
Best score: 0.3807: : 405iter [00:38,  9.30iter/s]
Best score: 0.3807: : 406iter [00:38,  9.30iter/s]
Best score: 0.3807: : 407iter [00:38,  9.94iter/s]
Best score: 0.3807: : 407iter [00:38,  9.94iter/s]
Best score: 0.3807: : 408iter [00:38,  9.94iter/s]
Best score: 0.3807: : 409iter [00:38, 10.48iter/s]
Best score: 0.3807: : 409iter [00:39, 10.48iter/s]
Best score: 0.3807: : 410iter [00:39, 10.48iter/s]
Best score: 0.3807: : 411iter [00:39, 10.74iter/s]
Best score: 0.3807: : 411iter [00:39, 10.74iter/s]
Best score: 0.3807: : 412iter [00:39, 10.74iter/s]
Best score: 0.3807: : 413iter [00:39, 11.09iter/s]
Best score: 0.3807: : 413iter [00:39, 11.09iter/s]
Best score: 0.3807: : 414iter [00:39, 11.09iter/s]
Best score: 0.3807: : 415iter [00:39, 11.36iter/s]
Best score: 0.3807: : 415iter [00:39, 11.36iter/s]
Best score: 0.3807: : 416iter [00:39, 11.36iter/s]
Best score: 0.3807: : 417iter [00:39, 11.55iter/s]
Best score: 0.3807: : 417iter [00:39, 11.55iter/s]
Best score: 0.3807: : 418iter [00:39, 11.55iter/s]
Best score: 0.3807: : 419iter [00:39, 11.70iter/s]
Best score: 0.3752: : 419iter [00:39, 11.70iter/s]
Best score: 0.3752: : 420iter [00:39, 11.70iter/s]
Best score: 0.3752: : 421iter [00:39, 11.54iter/s]
Best score: 0.3752: : 421iter [00:40, 11.54iter/s]
Best score: 0.3752: : 422iter [00:40, 11.54iter/s]
Best score: 0.3752: : 423iter [00:40, 11.68iter/s]
Best score: 0.3752: : 423iter [00:40, 11.68iter/s]
Best score: 0.3752: : 424iter [00:40, 11.68iter/s]
Best score: 0.3752: : 425iter [00:40, 11.71iter/s]
Best score: 0.3752: : 425iter [00:40, 11.71iter/s]
Best score: 0.3752: : 426iter [00:40, 11.71iter/s]
Best score: 0.3752: : 427iter [00:40, 11.76iter/s]
Best score: 0.3752: : 427iter [00:40, 11.76iter/s]
Best score: 0.3752: : 428iter [00:40, 11.76iter/s]
Best score: 0.3752: : 429iter [00:40, 11.79iter/s]
Best score: 0.3643: : 429iter [00:40, 11.79iter/s]
Best score: 0.3643: : 430iter [00:40, 11.79iter/s]
Best score: 0.3643: : 431iter [00:40, 11.65iter/s]
Best score: 0.3643: : 431iter [00:40, 11.65iter/s]
Best score: 0.3643: : 432iter [00:40, 11.65iter/s]
Best score: 0.3643: : 433iter [00:40, 11.65iter/s]
Best score: 0.3643: : 433iter [00:41, 11.65iter/s]
Best score: 0.3643: : 434iter [00:41, 11.65iter/s]
Best score: 0.3643: : 435iter [00:41, 11.75iter/s]
Best score: 0.3643: : 435iter [00:41, 11.75iter/s]
Best score: 0.3643: : 436iter [00:41, 11.75iter/s]
Best score: 0.3643: : 437iter [00:41, 11.81iter/s]
Best score: 0.3643: : 437iter [00:41, 11.81iter/s]
Best score: 0.3643: : 438iter [00:41, 11.81iter/s]
Best score: 0.3643: : 439iter [00:41, 11.87iter/s]
Best score: 0.3643: : 439iter [00:41, 11.87iter/s]
Best score: 0.3643: : 440iter [00:41, 11.87iter/s]
Best score: 0.3643: : 441iter [00:41, 11.59iter/s]
Best score: 0.3643: : 441iter [00:41, 11.59iter/s]
Best score: 0.3643: : 442iter [00:41, 11.59iter/s]
Best score: 0.3643: : 443iter [00:41, 11.65iter/s]
Best score: 0.3643: : 443iter [00:41, 11.65iter/s]
Best score: 0.3643: : 444iter [00:41, 11.65iter/s]
Best score: 0.3643: : 445iter [00:41, 11.74iter/s]
Best score: 0.3643: : 445iter [00:42, 11.74iter/s]
Best score: 0.3643: : 446iter [00:42, 11.74iter/s]
Best score: 0.3643: : 447iter [00:42, 11.80iter/s]
Best score: 0.3643: : 447iter [00:42, 11.80iter/s]
Best score: 0.3643: : 448iter [00:42, 11.80iter/s]
Best score: 0.3643: : 449iter [00:42, 11.76iter/s]
[ITER 450] Best: 0.3425
[PARAMS] Current best parameters:
  fx: 580.5964
  fy: 580.0839
  px: 1036.0370
  py: 793.2738
  k1: -0.05238357
  k2: -0.00314394
  k3: 0.00977149
  k4: -0.00281617
  p1: -0.01514782
  p2: -0.00553035
  p3: -0.00772703
  p4: 0.00630625
  s1: 0.0338
  s2: -0.0109
  s3: 0.0283
  s4: -0.0096
  tilt_x: 0.0305
  tilt_y: -0.0299
  scale: 3.0079
  rotation: 0.3366

Best score: 0.3425: : 449iter [00:42, 11.76iter/s]
Best score: 0.3425: : 450iter [00:42, 11.76iter/s]
Best score: 0.3425: : 451iter [00:42,  7.50iter/s]
Best score: 0.3425: : 451iter [00:42,  7.50iter/s]
Best score: 0.3425: : 452iter [00:42,  7.50iter/s]
Best score: 0.3425: : 453iter [00:42,  8.41iter/s]
Best score: 0.3425: : 453iter [00:43,  8.41iter/s]
Best score: 0.3425: : 454iter [00:43,  8.41iter/s]
Best score: 0.3425: : 455iter [00:43,  9.21iter/s]
Best score: 0.3425: : 455iter [00:43,  9.21iter/s]
Best score: 0.3425: : 456iter [00:43,  9.21iter/s]
Best score: 0.3425: : 457iter [00:43,  9.90iter/s]
Best score: 0.3425: : 457iter [00:43,  9.90iter/s]
Best score: 0.3425: : 458iter [00:43,  9.90iter/s]
Best score: 0.3425: : 459iter [00:43, 10.44iter/s]
Best score: 0.3422: : 459iter [00:43, 10.44iter/s]
Best score: 0.3422: : 460iter [00:43, 10.44iter/s]
Best score: 0.3422: : 461iter [00:43, 10.65iter/s]
Best score: 0.3422: : 461iter [00:43, 10.65iter/s]
Best score: 0.3422: : 462iter [00:43, 10.65iter/s]
Best score: 0.3422: : 463iter [00:43, 10.95iter/s]
Best score: 0.3422: : 463iter [00:43, 10.95iter/s]
Best score: 0.3422: : 464iter [00:44, 10.95iter/s]
Best score: 0.3422: : 465iter [00:44, 11.18iter/s]
Best score: 0.3422: : 465iter [00:44, 11.18iter/s]
Best score: 0.3422: : 466iter [00:44, 11.18iter/s]
Best score: 0.3422: : 467iter [00:44, 11.42iter/s]
Best score: 0.3422: : 467iter [00:44, 11.42iter/s]
Best score: 0.3422: : 468iter [00:44, 11.42iter/s]
Best score: 0.3422: : 469iter [00:44, 11.56iter/s]
Best score: 0.3357: : 469iter [00:44, 11.56iter/s]
Best score: 0.3357: : 470iter [00:44, 11.56iter/s]
Best score: 0.3357: : 471iter [00:44, 11.49iter/s]
Best score: 0.3357: : 471iter [00:44, 11.49iter/s]
Best score: 0.3357: : 472iter [00:44, 11.49iter/s]
Best score: 0.3357: : 473iter [00:44, 11.65iter/s]
Best score: 0.3357: : 473iter [00:44, 11.65iter/s]
Best score: 0.3357: : 474iter [00:44, 11.65iter/s]
Best score: 0.3357: : 475iter [00:44, 11.76iter/s]
Best score: 0.3357: : 475iter [00:44, 11.76iter/s]
Best score: 0.3357: : 476iter [00:45, 11.76iter/s]
Best score: 0.3357: : 477iter [00:45, 11.78iter/s]
Best score: 0.3357: : 477iter [00:45, 11.78iter/s]
Best score: 0.3357: : 478iter [00:45, 11.78iter/s]
Best score: 0.3357: : 479iter [00:45, 11.84iter/s]
Best score: 0.3252: : 479iter [00:45, 11.84iter/s]
Best score: 0.3252: : 480iter [00:45, 11.84iter/s]
Best score: 0.3252: : 481iter [00:45, 11.66iter/s]
Best score: 0.3252: : 481iter [00:45, 11.66iter/s]
Best score: 0.3252: : 482iter [00:45, 11.66iter/s]
Best score: 0.3252: : 483iter [00:45, 11.76iter/s]
Best score: 0.3252: : 483iter [00:45, 11.76iter/s]
Best score: 0.3252: : 484iter [00:45, 11.76iter/s]
Best score: 0.3252: : 485iter [00:45, 11.83iter/s]
Best score: 0.3252: : 485iter [00:45, 11.83iter/s]
Best score: 0.3252: : 486iter [00:45, 11.83iter/s]
Best score: 0.3252: : 487iter [00:45, 11.87iter/s]
Best score: 0.3252: : 487iter [00:45, 11.87iter/s]
Best score: 0.3252: : 488iter [00:46, 11.87iter/s]
Best score: 0.3252: : 489iter [00:46, 11.90iter/s]
Best score: 0.3158: : 489iter [00:46, 11.90iter/s]
Best score: 0.3158: : 490iter [00:46, 11.90iter/s]
Best score: 0.3158: : 491iter [00:46, 11.72iter/s]
Best score: 0.3158: : 491iter [00:46, 11.72iter/s]
Best score: 0.3158: : 492iter [00:46, 11.72iter/s]
Best score: 0.3158: : 493iter [00:46, 11.80iter/s]
Best score: 0.3158: : 493iter [00:46, 11.80iter/s]
Best score: 0.3158: : 494iter [00:46, 11.80iter/s]
Best score: 0.3158: : 495iter [00:46, 11.86iter/s]
Best score: 0.3158: : 495iter [00:46, 11.86iter/s]
Best score: 0.3158: : 496iter [00:46, 11.86iter/s]
Best score: 0.3158: : 497iter [00:46, 11.86iter/s]
Best score: 0.3158: : 497iter [00:46, 11.86iter/s]
Best score: 0.3158: : 498iter [00:46, 11.86iter/s]
Best score: 0.3158: : 499iter [00:46, 11.88iter/s]
[ITER 500] Best: 0.3158
[PARAMS] Current best parameters:
  fx: 571.9648
  fy: 571.9799
  px: 1032.3305
  py: 793.0031
  k1: -0.06369958
  k2: 0.03568188
  k3: -0.01845821
  k4: 0.00396498
  p1: -0.01037340
  p2: -0.02001376
  p3: -0.00556235
  p4: 0.01744184
  s1: 0.0408
  s2: -0.0201
  s3: 0.0206
  s4: -0.0194
  tilt_x: 0.0201
  tilt_y: -0.0384
  scale: 3.0233
  rotation: 0.3281

Best score: 0.3158: : 499iter [00:46, 11.88iter/s]
Best score: 0.3158: : 500iter [00:47, 11.88iter/s]
Best score: 0.3158: : 501iter [00:47,  7.58iter/s]
Best score: 0.3158: : 501iter [00:47,  7.58iter/s]
Best score: 0.3158: : 502iter [00:47,  7.58iter/s]
Best score: 0.3158: : 503iter [00:47,  8.52iter/s]
Best score: 0.3158: : 503iter [00:47,  8.52iter/s]
Best score: 0.3158: : 504iter [00:47,  8.52iter/s]
Best score: 0.3158: : 505iter [00:47,  9.35iter/s]
Best score: 0.3158: : 505iter [00:47,  9.35iter/s]
Best score: 0.3158: : 506iter [00:47,  9.35iter/s]
Best score: 0.3158: : 507iter [00:47, 10.02iter/s]
Best score: 0.3158: : 507iter [00:47, 10.02iter/s]
Best score: 0.3158: : 508iter [00:48, 10.02iter/s]
Best score: 0.3158: : 509iter [00:48, 10.54iter/s]
Best score: 0.3060: : 509iter [00:48, 10.54iter/s]
Best score: 0.3060: : 510iter [00:48, 10.54iter/s]
Best score: 0.3060: : 511iter [00:48, 10.77iter/s]
Best score: 0.3060: : 511iter [00:48, 10.77iter/s]
Best score: 0.3060: : 512iter [00:48, 10.77iter/s]
Best score: 0.3060: : 513iter [00:48, 11.11iter/s]
Best score: 0.3060: : 513iter [00:48, 11.11iter/s]
Best score: 0.3060: : 514iter [00:48, 11.11iter/s]
Best score: 0.3060: : 515iter [00:48, 11.37iter/s]
Best score: 0.3060: : 515iter [00:48, 11.37iter/s]
Best score: 0.3060: : 516iter [00:48, 11.37iter/s]
Best score: 0.3060: : 517iter [00:48, 11.57iter/s]
Best score: 0.3060: : 517iter [00:48, 11.57iter/s]
Best score: 0.3060: : 518iter [00:48, 11.57iter/s]
Best score: 0.3060: : 519iter [00:48, 11.70iter/s]
Best score: 0.3059: : 519iter [00:48, 11.70iter/s]
Best score: 0.3059: : 520iter [00:49, 11.70iter/s]
Best score: 0.3059: : 521iter [00:49, 11.58iter/s]
Best score: 0.3059: : 521iter [00:49, 11.58iter/s]
Best score: 0.3059: : 522iter [00:49, 11.58iter/s]
Best score: 0.3059: : 523iter [00:49, 11.72iter/s]
Best score: 0.3059: : 523iter [00:49, 11.72iter/s]
Best score: 0.3059: : 524iter [00:49, 11.72iter/s]
Best score: 0.3059: : 525iter [00:49, 11.82iter/s]
Best score: 0.3059: : 525iter [00:49, 11.82iter/s]
Best score: 0.3059: : 526iter [00:49, 11.82iter/s]
Best score: 0.3059: : 527iter [00:49, 11.86iter/s]
Best score: 0.3059: : 527iter [00:49, 11.86iter/s]
Best score: 0.3059: : 528iter [00:49, 11.86iter/s]
Best score: 0.3059: : 529iter [00:49, 11.92iter/s]
Best score: 0.3059: : 529iter [00:49, 11.92iter/s]
Best score: 0.3059: : 530iter [00:49, 11.92iter/s]
Best score: 0.3059: : 531iter [00:49, 11.74iter/s]
Best score: 0.3059: : 531iter [00:49, 11.74iter/s]
Best score: 0.3059: : 532iter [00:50, 11.74iter/s]
Best score: 0.3059: : 533iter [00:50, 11.82iter/s]
Best score: 0.3059: : 533iter [00:50, 11.82iter/s]
Best score: 0.3059: : 534iter [00:50, 11.82iter/s]
Best score: 0.3059: : 535iter [00:50, 11.88iter/s]
Best score: 0.3059: : 535iter [00:50, 11.88iter/s]
Best score: 0.3059: : 536iter [00:50, 11.88iter/s]
Best score: 0.3059: : 537iter [00:50, 11.83iter/s]
Best score: 0.3059: : 537iter [00:50, 11.83iter/s]
Best score: 0.3059: : 538iter [00:50, 11.83iter/s]
Best score: 0.3059: : 539iter [00:50, 11.88iter/s]
Best score: 0.3056: : 539iter [00:50, 11.88iter/s]
Best score: 0.3056: : 540iter [00:50, 11.88iter/s]
Best score: 0.3056: : 541iter [00:50, 11.73iter/s]
Best score: 0.3056: : 541iter [00:50, 11.73iter/s]
Best score: 0.3056: : 542iter [00:50, 11.73iter/s]
Best score: 0.3056: : 543iter [00:50, 11.82iter/s]
Best score: 0.3056: : 543iter [00:50, 11.82iter/s]
Best score: 0.3056: : 544iter [00:51, 11.82iter/s]
Best score: 0.3056: : 545iter [00:51, 11.88iter/s]
Best score: 0.3056: : 545iter [00:51, 11.88iter/s]
Best score: 0.3056: : 546iter [00:51, 11.88iter/s]
Best score: 0.3056: : 547iter [00:51, 11.93iter/s]
Best score: 0.3056: : 547iter [00:51, 11.93iter/s]
Best score: 0.3056: : 548iter [00:51, 11.93iter/s]
Best score: 0.3056: : 549iter [00:51, 11.86iter/s]
[ITER 550] Best: 0.3039
[PARAMS] Current best parameters:
  fx: 568.9829
  fy: 568.7799
  px: 1033.3815
  py: 792.0641
  k1: -0.05639055
  k2: 0.02518139
  k3: -0.01026510
  k4: 0.00176369
  p1: -0.01149848
  p2: -0.01860720
  p3: -0.00235709
  p4: 0.01751474
  s1: 0.0373
  s2: -0.0211
  s3: 0.0179
  s4: -0.0192
  tilt_x: 0.0167
  tilt_y: -0.0422
  scale: 3.0236
  rotation: 0.3466

Best score: 0.3039: : 549iter [00:51, 11.86iter/s]
Best score: 0.3039: : 550iter [00:51, 11.86iter/s]
Best score: 0.3039: : 551iter [00:51,  7.56iter/s]
Best score: 0.3039: : 551iter [00:51,  7.56iter/s]
Best score: 0.3039: : 552iter [00:52,  7.56iter/s]
Best score: 0.3039: : 553iter [00:52,  8.51iter/s]
Best score: 0.3039: : 553iter [00:52,  8.51iter/s]
Best score: 0.3039: : 554iter [00:52,  8.51iter/s]
Best score: 0.3039: : 555iter [00:52,  9.33iter/s]
Best score: 0.3039: : 555iter [00:52,  9.33iter/s]
Best score: 0.3039: : 556iter [00:52,  9.33iter/s]
Best score: 0.3039: : 557iter [00:52, 10.01iter/s]
Best score: 0.3039: : 557iter [00:52, 10.01iter/s]
Best score: 0.3039: : 558iter [00:52, 10.01iter/s]
Best score: 0.3039: : 559iter [00:52, 10.54iter/s]
Best score: 0.3020: : 559iter [00:52, 10.54iter/s]
Best score: 0.3020: : 560iter [00:52, 10.54iter/s]
Best score: 0.3020: : 561iter [00:52, 10.78iter/s]
Best score: 0.3020: : 561iter [00:52, 10.78iter/s]
Best score: 0.3020: : 562iter [00:52, 10.78iter/s]
Best score: 0.3020: : 563iter [00:52, 11.12iter/s]
Best score: 0.3020: : 563iter [00:52, 11.12iter/s]
Best score: 0.3020: : 564iter [00:53, 11.12iter/s]
Best score: 0.3020: : 565iter [00:53, 11.35iter/s]
Best score: 0.3020: : 565iter [00:53, 11.35iter/s]
Best score: 0.3020: : 566iter [00:53, 11.35iter/s]
Best score: 0.3020: : 567iter [00:53, 11.55iter/s]
Best score: 0.3020: : 567iter [00:53, 11.55iter/s]
Best score: 0.3020: : 568iter [00:53, 11.55iter/s]
Best score: 0.3020: : 569iter [00:53, 11.66iter/s]
Best score: 0.3005: : 569iter [00:53, 11.66iter/s]
Best score: 0.3005: : 570iter [00:53, 11.66iter/s]
Best score: 0.3005: : 571iter [00:53, 11.46iter/s]
Best score: 0.3005: : 571iter [00:53, 11.46iter/s]
Best score: 0.3005: : 572iter [00:53, 11.46iter/s]
Best score: 0.3005: : 573iter [00:53, 11.54iter/s]
Best score: 0.3005: : 573iter [00:53, 11.54iter/s]
Best score: 0.3005: : 574iter [00:53, 11.54iter/s]
Best score: 0.3005: : 575iter [00:53, 11.67iter/s]
Best score: 0.3005: : 575iter [00:54, 11.67iter/s]
Best score: 0.3005: : 576iter [00:54, 11.67iter/s]
Best score: 0.3005: : 577iter [00:54, 11.70iter/s]
Best score: 0.3005: : 577iter [00:54, 11.70iter/s]
Best score: 0.3005: : 578iter [00:54, 11.70iter/s]
Best score: 0.3005: : 579iter [00:54, 11.72iter/s]
Best score: 0.2938: : 579iter [00:54, 11.72iter/s]
Best score: 0.2938: : 580iter [00:54, 11.72iter/s]
Best score: 0.2938: : 581iter [00:54, 11.52iter/s]
Best score: 0.2938: : 581iter [00:54, 11.52iter/s]
Best score: 0.2938: : 582iter [00:54, 11.52iter/s]
Best score: 0.2938: : 583iter [00:54, 11.63iter/s]
Best score: 0.2938: : 583iter [00:54, 11.63iter/s]
Best score: 0.2938: : 584iter [00:54, 11.63iter/s]
Best score: 0.2938: : 585iter [00:54, 11.69iter/s]
Best score: 0.2938: : 585iter [00:54, 11.69iter/s]
Best score: 0.2938: : 586iter [00:54, 11.69iter/s]
Best score: 0.2938: : 587iter [00:54, 11.75iter/s]
Best score: 0.2938: : 587iter [00:55, 11.75iter/s]
Best score: 0.2938: : 588iter [00:55, 11.75iter/s]
Best score: 0.2938: : 589iter [00:55, 11.84iter/s]
Best score: 0.2938: : 589iter [00:55, 11.84iter/s]
Best score: 0.2938: : 590iter [00:55, 11.84iter/s]
Best score: 0.2938: : 591iter [00:55, 11.69iter/s]
Best score: 0.2938: : 591iter [00:55, 11.69iter/s]
Best score: 0.2938: : 592iter [00:55, 11.69iter/s]
Best score: 0.2938: : 593iter [00:55, 11.75iter/s]
Best score: 0.2938: : 593iter [00:55, 11.75iter/s]
Best score: 0.2938: : 594iter [00:55, 11.75iter/s]
Best score: 0.2938: : 595iter [00:55, 11.83iter/s]
Best score: 0.2938: : 595iter [00:55, 11.83iter/s]
Best score: 0.2938: : 596iter [00:55, 11.83iter/s]
Best score: 0.2938: : 597iter [00:55, 11.87iter/s]
Best score: 0.2938: : 597iter [00:55, 11.87iter/s]
Best score: 0.2938: : 598iter [00:55, 11.87iter/s]
Best score: 0.2938: : 599iter [00:55, 11.91iter/s]
[ITER 600] Best: 0.2938
[PARAMS] Current best parameters:
  fx: 565.9909
  fy: 565.7841
  px: 1032.1437
  py: 791.7931
  k1: -0.06031286
  k2: 0.03887544
  k3: -0.01985374
  k4: 0.00391345
  p1: -0.01041345
  p2: -0.01752839
  p3: -0.00266826
  p4: 0.01880484
  s1: 0.0348
  s2: -0.0215
  s3: 0.0161
  s4: -0.0199
  tilt_x: 0.0133
  tilt_y: -0.0332
  scale: 3.0270
  rotation: 0.3432

Best score: 0.2938: : 599iter [00:56, 11.91iter/s]
Best score: 0.2938: : 600iter [00:56, 11.91iter/s]
Best score: 0.2938: : 601iter [00:56,  7.59iter/s]
Best score: 0.2938: : 601iter [00:56,  7.59iter/s]
Best score: 0.2938: : 602iter [00:56,  7.59iter/s]
Best score: 0.2938: : 603iter [00:56,  8.53iter/s]
Best score: 0.2938: : 603iter [00:56,  8.53iter/s]
Best score: 0.2938: : 604iter [00:56,  8.53iter/s]
Best score: 0.2938: : 605iter [00:56,  9.35iter/s]
Best score: 0.2938: : 605iter [00:56,  9.35iter/s]
Best score: 0.2938: : 606iter [00:56,  9.35iter/s]
Best score: 0.2938: : 607iter [00:56, 10.01iter/s]
Best score: 0.2938: : 607iter [00:57, 10.01iter/s]
Best score: 0.2938: : 608iter [00:57, 10.01iter/s]
Best score: 0.2938: : 609iter [00:57, 10.54iter/s]
Best score: 0.2938: : 609iter [00:57, 10.54iter/s]
Best score: 0.2938: : 610iter [00:57, 10.54iter/s]
Best score: 0.2938: : 611iter [00:57, 10.78iter/s]
Best score: 0.2938: : 611iter [00:57, 10.78iter/s]
Best score: 0.2938: : 612iter [00:57, 10.78iter/s]
Best score: 0.2938: : 613iter [00:57, 11.13iter/s]
Best score: 0.2938: : 613iter [00:57, 11.13iter/s]
Best score: 0.2938: : 614iter [00:57, 11.13iter/s]
Best score: 0.2938: : 615iter [00:57, 11.39iter/s]
Best score: 0.2938: : 615iter [00:57, 11.39iter/s]
Best score: 0.2938: : 616iter [00:57, 11.39iter/s]
Best score: 0.2938: : 617iter [00:57, 11.56iter/s]
Best score: 0.2938: : 617iter [00:57, 11.56iter/s]
Best score: 0.2938: : 618iter [00:57, 11.56iter/s]
Best score: 0.2938: : 619iter [00:57, 11.67iter/s]
Best score: 0.2885: : 619iter [00:58, 11.67iter/s]
Best score: 0.2885: : 620iter [00:58, 11.67iter/s]
Best score: 0.2885: : 621iter [00:58, 11.56iter/s]
Best score: 0.2885: : 621iter [00:58, 11.56iter/s]
Best score: 0.2885: : 622iter [00:58, 11.56iter/s]
Best score: 0.2885: : 623iter [00:58, 11.67iter/s]
Best score: 0.2885: : 623iter [00:58, 11.67iter/s]
Best score: 0.2885: : 624iter [00:58, 11.67iter/s]
Best score: 0.2885: : 625iter [00:58, 11.78iter/s]
Best score: 0.2885: : 625iter [00:58, 11.78iter/s]
Best score: 0.2885: : 626iter [00:58, 11.78iter/s]
Best score: 0.2885: : 627iter [00:58, 11.80iter/s]
Best score: 0.2885: : 627iter [00:58, 11.80iter/s]
Best score: 0.2885: : 628iter [00:58, 11.80iter/s]
Best score: 0.2885: : 629iter [00:58, 11.84iter/s]
Best score: 0.2854: : 629iter [00:58, 11.84iter/s]
Best score: 0.2854: : 630iter [00:58, 11.84iter/s]
Best score: 0.2854: : 631iter [00:58, 11.69iter/s]
Best score: 0.2854: : 631iter [00:59, 11.69iter/s]
Best score: 0.2854: : 632iter [00:59, 11.69iter/s]
Best score: 0.2854: : 633iter [00:59, 11.80iter/s]
Best score: 0.2854: : 633iter [00:59, 11.80iter/s]
Best score: 0.2854: : 634iter [00:59, 11.80iter/s]
Best score: 0.2854: : 635iter [00:59, 11.87iter/s]
Best score: 0.2854: : 635iter [00:59, 11.87iter/s]
Best score: 0.2854: : 636iter [00:59, 11.87iter/s]
Best score: 0.2854: : 637iter [00:59, 11.83iter/s]
Best score: 0.2854: : 637iter [00:59, 11.83iter/s]
Best score: 0.2854: : 638iter [00:59, 11.83iter/s]
Best score: 0.2854: : 639iter [00:59, 11.89iter/s]
Best score: 0.2854: : 639iter [00:59, 11.89iter/s]
Best score: 0.2854: : 640iter [00:59, 11.89iter/s]
Best score: 0.2854: : 641iter [00:59, 11.71iter/s]
Best score: 0.2854: : 641iter [00:59, 11.71iter/s]
Best score: 0.2854: : 642iter [00:59, 11.71iter/s]
Best score: 0.2854: : 643iter [00:59, 11.81iter/s]
Best score: 0.2854: : 643iter [01:00, 11.81iter/s]
Best score: 0.2854: : 644iter [01:00, 11.81iter/s]
Best score: 0.2854: : 645iter [01:00, 11.87iter/s]
Best score: 0.2854: : 645iter [01:00, 11.87iter/s]
Best score: 0.2854: : 646iter [01:00, 11.87iter/s]
Best score: 0.2854: : 647iter [01:00, 11.90iter/s]
Best score: 0.2854: : 647iter [01:00, 11.90iter/s]
Best score: 0.2854: : 648iter [01:00, 11.90iter/s]
Best score: 0.2854: : 649iter [01:00, 11.94iter/s]
[ITER 650] Best: 0.2852
[PARAMS] Current best parameters:
  fx: 563.6098
  fy: 563.3950
  px: 1030.4648
  py: 792.0378
  k1: -0.05975140
  k2: 0.04604722
  k3: -0.02657781
  k4: 0.00567162
  p1: -0.00909161
  p2: -0.01081203
  p3: -0.00680304
  p4: 0.02470909
  s1: 0.0277
  s2: -0.0255
  s3: 0.0189
  s4: -0.0261
  tilt_x: 0.0122
  tilt_y: -0.0123
  scale: 3.0229
  rotation: 0.3537

Best score: 0.2852: : 649iter [01:00, 11.94iter/s]
Best score: 0.2852: : 650iter [01:00, 11.94iter/s]
Best score: 0.2852: : 651iter [01:00,  7.60iter/s]
Best score: 0.2852: : 651iter [01:01,  7.60iter/s]
Best score: 0.2852: : 652iter [01:01,  7.60iter/s]
Best score: 0.2852: : 653iter [01:01,  8.54iter/s]
Best score: 0.2852: : 653iter [01:01,  8.54iter/s]
Best score: 0.2852: : 654iter [01:01,  8.54iter/s]
Best score: 0.2852: : 655iter [01:01,  9.29iter/s]
Best score: 0.2852: : 655iter [01:01,  9.29iter/s]
Best score: 0.2852: : 656iter [01:01,  9.29iter/s]
Best score: 0.2852: : 657iter [01:01,  9.97iter/s]
Best score: 0.2852: : 657iter [01:01,  9.97iter/s]
Best score: 0.2852: : 658iter [01:01,  9.97iter/s]
Best score: 0.2852: : 659iter [01:01, 10.47iter/s]
Best score: 0.2819: : 659iter [01:01, 10.47iter/s]
Best score: 0.2819: : 660iter [01:01, 10.47iter/s]
Best score: 0.2819: : 661iter [01:01, 10.65iter/s]
Best score: 0.2819: : 661iter [01:01, 10.65iter/s]
Best score: 0.2819: : 662iter [01:02, 10.65iter/s]
Best score: 0.2819: : 663iter [01:02, 11.02iter/s]
Best score: 0.2819: : 663iter [01:02, 11.02iter/s]
Best score: 0.2819: : 664iter [01:02, 11.02iter/s]
Best score: 0.2819: : 665iter [01:02, 11.30iter/s]
Best score: 0.2819: : 665iter [01:02, 11.30iter/s]
Best score: 0.2819: : 666iter [01:02, 11.30iter/s]
Best score: 0.2819: : 667iter [01:02, 11.52iter/s]
Best score: 0.2819: : 667iter [01:02, 11.52iter/s]
Best score: 0.2819: : 668iter [01:02, 11.52iter/s]
Best score: 0.2819: : 669iter [01:02, 11.68iter/s]
Best score: 0.2743: : 669iter [01:02, 11.68iter/s]
Best score: 0.2743: : 670iter [01:02, 11.68iter/s]
Best score: 0.2743: : 671iter [01:02, 11.58iter/s]
Best score: 0.2743: : 671iter [01:02, 11.58iter/s]
Best score: 0.2743: : 672iter [01:02, 11.58iter/s]
Best score: 0.2743: : 673iter [01:02, 11.71iter/s]
Best score: 0.2743: : 673iter [01:02, 11.71iter/s]
Best score: 0.2743: : 674iter [01:03, 11.71iter/s]
Best score: 0.2743: : 675iter [01:03, 11.81iter/s]
Best score: 0.2743: : 675iter [01:03, 11.81iter/s]
Best score: 0.2743: : 676iter [01:03, 11.81iter/s]
Best score: 0.2743: : 677iter [01:03, 11.87iter/s]
Best score: 0.2743: : 677iter [01:03, 11.87iter/s]
Best score: 0.2743: : 678iter [01:03, 11.87iter/s]
Best score: 0.2743: : 679iter [01:03, 11.91iter/s]
Best score: 0.2739: : 679iter [01:03, 11.91iter/s]
Best score: 0.2739: : 680iter [01:03, 11.91iter/s]
Best score: 0.2739: : 681iter [01:03, 11.74iter/s]
Best score: 0.2739: : 681iter [01:03, 11.74iter/s]
Best score: 0.2739: : 682iter [01:03, 11.74iter/s]
Best score: 0.2739: : 683iter [01:03, 11.81iter/s]
Best score: 0.2739: : 683iter [01:03, 11.81iter/s]
Best score: 0.2739: : 684iter [01:03, 11.81iter/s]
Best score: 0.2739: : 685iter [01:03, 11.82iter/s]
Best score: 0.2739: : 685iter [01:03, 11.82iter/s]
Best score: 0.2739: : 686iter [01:04, 11.82iter/s]
Best score: 0.2739: : 687iter [01:04, 11.86iter/s]
Best score: 0.2739: : 687iter [01:04, 11.86iter/s]
Best score: 0.2739: : 688iter [01:04, 11.86iter/s]
Best score: 0.2739: : 689iter [01:04, 11.90iter/s]
Best score: 0.2677: : 689iter [01:04, 11.90iter/s]
Best score: 0.2677: : 690iter [01:04, 11.90iter/s]
Best score: 0.2677: : 691iter [01:04, 11.74iter/s]
Best score: 0.2677: : 691iter [01:04, 11.74iter/s]
Best score: 0.2677: : 692iter [01:04, 11.74iter/s]
Best score: 0.2677: : 693iter [01:04, 11.83iter/s]
Best score: 0.2677: : 693iter [01:04, 11.83iter/s]
Best score: 0.2677: : 694iter [01:04, 11.83iter/s]
Best score: 0.2677: : 695iter [01:04, 11.89iter/s]
Best score: 0.2677: : 695iter [01:04, 11.89iter/s]
Best score: 0.2677: : 696iter [01:04, 11.89iter/s]
Best score: 0.2677: : 697iter [01:04, 11.91iter/s]
Best score: 0.2677: : 697iter [01:04, 11.91iter/s]
Best score: 0.2677: : 698iter [01:05, 11.91iter/s]
Best score: 0.2677: : 699iter [01:05, 11.96iter/s]
[ITER 700] Best: 0.2645
[PARAMS] Current best parameters:
  fx: 568.2915
  fy: 568.0151
  px: 1026.5661
  py: 786.2175
  k1: -0.06474249
  k2: 0.04692613
  k3: -0.02694209
  k4: 0.00586845
  p1: -0.01772423
  p2: -0.01565675
  p3: -0.00123418
  p4: 0.02907662
  s1: 0.0221
  s2: -0.0289
  s3: 0.0156
  s4: -0.0300
  tilt_x: -0.0001
  tilt_y: -0.0013
  scale: 3.0196
  rotation: 0.3381

Best score: 0.2645: : 699iter [01:05, 11.96iter/s]
Best score: 0.2645: : 700iter [01:05, 11.96iter/s]
Best score: 0.2645: : 701iter [01:05,  7.58iter/s]
Best score: 0.2645: : 701iter [01:05,  7.58iter/s]
Best score: 0.2645: : 702iter [01:05,  7.58iter/s]
Best score: 0.2645: : 703iter [01:05,  8.53iter/s]
Best score: 0.2645: : 703iter [01:05,  8.53iter/s]
Best score: 0.2645: : 704iter [01:05,  8.53iter/s]
Best score: 0.2645: : 705iter [01:05,  9.34iter/s]
Best score: 0.2645: : 705iter [01:05,  9.34iter/s]
Best score: 0.2645: : 706iter [01:06,  9.34iter/s]
Best score: 0.2645: : 707iter [01:06,  9.99iter/s]
Best score: 0.2645: : 707iter [01:06,  9.99iter/s]
Best score: 0.2645: : 708iter [01:06,  9.99iter/s]
Best score: 0.2645: : 709iter [01:06, 10.51iter/s]
Best score: 0.2645: : 709iter [01:06, 10.51iter/s]
Best score: 0.2645: : 710iter [01:06, 10.51iter/s]
Best score: 0.2645: : 711iter [01:06, 10.72iter/s]
Best score: 0.2645: : 711iter [01:06, 10.72iter/s]
Best score: 0.2645: : 712iter [01:06, 10.72iter/s]
Best score: 0.2645: : 713iter [01:06, 11.08iter/s]
Best score: 0.2645: : 713iter [01:06, 11.08iter/s]
Best score: 0.2645: : 714iter [01:06, 11.08iter/s]
Best score: 0.2645: : 715iter [01:06, 11.35iter/s]
Best score: 0.2645: : 715iter [01:06, 11.35iter/s]
Best score: 0.2645: : 716iter [01:06, 11.35iter/s]
Best score: 0.2645: : 717iter [01:06, 11.55iter/s]
Best score: 0.2645: : 717iter [01:06, 11.55iter/s]
Best score: 0.2645: : 718iter [01:07, 11.55iter/s]
Best score: 0.2645: : 719iter [01:07, 11.67iter/s]
Best score: 0.2645: : 719iter [01:07, 11.67iter/s]
Best score: 0.2645: : 720iter [01:07, 11.67iter/s]
Best score: 0.2645: : 721iter [01:07, 11.55iter/s]
Best score: 0.2645: : 721iter [01:07, 11.55iter/s]
Best score: 0.2645: : 722iter [01:07, 11.55iter/s]
Best score: 0.2645: : 723iter [01:07, 11.68iter/s]
Best score: 0.2645: : 723iter [01:07, 11.68iter/s]
Best score: 0.2645: : 724iter [01:07, 11.68iter/s]
Best score: 0.2645: : 725iter [01:07, 11.79iter/s]
Best score: 0.2645: : 725iter [01:07, 11.79iter/s]
Best score: 0.2645: : 726iter [01:07, 11.79iter/s]
Best score: 0.2645: : 727iter [01:07, 11.87iter/s]
Best score: 0.2645: : 727iter [01:07, 11.87iter/s]
Best score: 0.2645: : 728iter [01:07, 11.87iter/s]
Best score: 0.2645: : 729iter [01:07, 11.91iter/s]
Best score: 0.2636: : 729iter [01:07, 11.91iter/s]
Best score: 0.2636: : 730iter [01:08, 11.91iter/s]
Best score: 0.2636: : 731iter [01:08, 11.72iter/s]
Best score: 0.2636: : 731iter [01:08, 11.72iter/s]
Best score: 0.2636: : 732iter [01:08, 11.72iter/s]
Best score: 0.2636: : 733iter [01:08, 11.81iter/s]
Best score: 0.2636: : 733iter [01:08, 11.81iter/s]
Best score: 0.2636: : 734iter [01:08, 11.81iter/s]
Best score: 0.2636: : 735iter [01:08, 11.88iter/s]
Best score: 0.2636: : 735iter [01:08, 11.88iter/s]
Best score: 0.2636: : 736iter [01:08, 11.88iter/s]
Best score: 0.2636: : 737iter [01:08, 11.92iter/s]
Best score: 0.2636: : 737iter [01:08, 11.92iter/s]
Best score: 0.2636: : 738iter [01:08, 11.92iter/s]
Best score: 0.2636: : 739iter [01:08, 11.95iter/s]
Best score: 0.2632: : 739iter [01:08, 11.95iter/s]
Best score: 0.2632: : 740iter [01:08, 11.95iter/s]
Best score: 0.2632: : 741iter [01:08, 11.76iter/s]
Best score: 0.2632: : 741iter [01:08, 11.76iter/s]
Best score: 0.2632: : 742iter [01:09, 11.76iter/s]
Best score: 0.2632: : 743iter [01:09, 11.85iter/s]
Best score: 0.2632: : 743iter [01:09, 11.85iter/s]
Best score: 0.2632: : 744iter [01:09, 11.85iter/s]
Best score: 0.2632: : 745iter [01:09, 11.88iter/s]
Best score: 0.2632: : 745iter [01:09, 11.88iter/s]
Best score: 0.2632: : 746iter [01:09, 11.88iter/s]
Best score: 0.2632: : 747iter [01:09, 11.91iter/s]
Best score: 0.2632: : 747iter [01:09, 11.91iter/s]
Best score: 0.2632: : 748iter [01:09, 11.91iter/s]
Best score: 0.2632: : 749iter [01:09, 11.95iter/s]
[ITER 750] Best: 0.2632
[PARAMS] Current best parameters:
  fx: 567.2204
  fy: 566.9325
  px: 1026.5172
  py: 786.6836
  k1: -0.06339496
  k2: 0.04472077
  k3: -0.02480115
  k4: 0.00526623
  p1: -0.01680469
  p2: -0.01340717
  p3: -0.00289302
  p4: 0.02743807
  s1: 0.0220
  s2: -0.0278
  s3: 0.0167
  s4: -0.0285
  tilt_x: 0.0005
  tilt_y: 0.0032
  scale: 3.0212
  rotation: 0.3322

Best score: 0.2632: : 749iter [01:09, 11.95iter/s]
Best score: 0.2632: : 750iter [01:10, 11.95iter/s]
Best score: 0.2632: : 751iter [01:10,  7.59iter/s]
Best score: 0.2632: : 751iter [01:10,  7.59iter/s]
Best score: 0.2632: : 752iter [01:10,  7.59iter/s]
Best score: 0.2632: : 753iter [01:10,  8.53iter/s]
Best score: 0.2632: : 753iter [01:10,  8.53iter/s]
Best score: 0.2632: : 754iter [01:10,  8.53iter/s]
Best score: 0.2632: : 755iter [01:10,  9.28iter/s]
Best score: 0.2632: : 755iter [01:10,  9.28iter/s]
Best score: 0.2632: : 756iter [01:10,  9.28iter/s]
Best score: 0.2632: : 757iter [01:10,  9.97iter/s]
Best score: 0.2632: : 757iter [01:10,  9.97iter/s]
Best score: 0.2632: : 758iter [01:10,  9.97iter/s]
Best score: 0.2632: : 759iter [01:10, 10.49iter/s]
Best score: 0.2632: : 759iter [01:10, 10.49iter/s]
Best score: 0.2632: : 760iter [01:10, 10.49iter/s]
Best score: 0.2632: : 761iter [01:10, 10.74iter/s]
Best score: 0.2632: : 761iter [01:10, 10.74iter/s]
Best score: 0.2632: : 762iter [01:11, 10.74iter/s]
Best score: 0.2632: : 763iter [01:11, 11.00iter/s]
Best score: 0.2632: : 763iter [01:11, 11.00iter/s]
Best score: 0.2632: : 764iter [01:11, 11.00iter/s]
Best score: 0.2632: : 765iter [01:11, 11.23iter/s]
Best score: 0.2632: : 765iter [01:11, 11.23iter/s]
Best score: 0.2632: : 766iter [01:11, 11.23iter/s]
Best score: 0.2632: : 767iter [01:11, 11.46iter/s]
Best score: 0.2632: : 767iter [01:11, 11.46iter/s]
Best score: 0.2632: : 768iter [01:11, 11.46iter/s]
Best score: 0.2632: : 769iter [01:11, 11.60iter/s]
Best score: 0.2630: : 769iter [01:11, 11.60iter/s]
Best score: 0.2630: : 770iter [01:11, 11.60iter/s]
Best score: 0.2630: : 771iter [01:11, 11.49iter/s]
Best score: 0.2630: : 771iter [01:11, 11.49iter/s]
Best score: 0.2630: : 772iter [01:11, 11.49iter/s]
Best score: 0.2630: : 773iter [01:11, 11.63iter/s]
Best score: 0.2630: : 773iter [01:11, 11.63iter/s]
Best score: 0.2630: : 774iter [01:12, 11.63iter/s]
Best score: 0.2630: : 775iter [01:12, 11.69iter/s]
Best score: 0.2630: : 775iter [01:12, 11.69iter/s]
Best score: 0.2630: : 776iter [01:12, 11.69iter/s]
Best score: 0.2630: : 777iter [01:12, 11.78iter/s]
Best score: 0.2630: : 777iter [01:12, 11.78iter/s]
Best score: 0.2630: : 778iter [01:12, 11.78iter/s]
Best score: 0.2630: : 779iter [01:12, 11.86iter/s]
Best score: 0.2617: : 779iter [01:12, 11.86iter/s]
Best score: 0.2617: : 780iter [01:12, 11.86iter/s]
Best score: 0.2617: : 781iter [01:12, 11.67iter/s]
Best score: 0.2617: : 781iter [01:12, 11.67iter/s]
Best score: 0.2617: : 782iter [01:12, 11.67iter/s]
Best score: 0.2617: : 783iter [01:12, 11.78iter/s]
Best score: 0.2617: : 783iter [01:12, 11.78iter/s]
Best score: 0.2617: : 784iter [01:12, 11.78iter/s]
Best score: 0.2617: : 785iter [01:12, 11.82iter/s]
Best score: 0.2617: : 785iter [01:13, 11.82iter/s]
Best score: 0.2617: : 786iter [01:13, 11.82iter/s]
Best score: 0.2617: : 787iter [01:13, 11.86iter/s]
Best score: 0.2617: : 787iter [01:13, 11.86iter/s]
Best score: 0.2617: : 788iter [01:13, 11.86iter/s]
Best score: 0.2617: : 789iter [01:13, 11.89iter/s]
Best score: 0.2599: : 789iter [01:13, 11.89iter/s]
Best score: 0.2599: : 790iter [01:13, 11.89iter/s]
Best score: 0.2599: : 791iter [01:13, 11.69iter/s]
Best score: 0.2599: : 791iter [01:13, 11.69iter/s]
Best score: 0.2599: : 792iter [01:13, 11.69iter/s]
Best score: 0.2599: : 793iter [01:13, 11.78iter/s]
Best score: 0.2599: : 793iter [01:13, 11.78iter/s]
Best score: 0.2599: : 794iter [01:13, 11.78iter/s]
Best score: 0.2599: : 795iter [01:13, 11.85iter/s]
Best score: 0.2599: : 795iter [01:13, 11.85iter/s]
Best score: 0.2599: : 796iter [01:13, 11.85iter/s]
Best score: 0.2599: : 797iter [01:13, 11.88iter/s]
Best score: 0.2599: : 797iter [01:14, 11.88iter/s]
Best score: 0.2599: : 798iter [01:14, 11.88iter/s]
Best score: 0.2599: : 799iter [01:14, 11.92iter/s]
[ITER 800] Best: 0.2599
[PARAMS] Current best parameters:
  fx: 569.2792
  fy: 569.0007
  px: 1025.1958
  py: 786.1091
  k1: -0.06361393
  k2: 0.04097641
  k3: -0.02169778
  k4: 0.00445251
  p1: -0.01922726
  p2: -0.01592055
  p3: 0.00305473
  p4: 0.02590322
  s1: 0.0187
  s2: -0.0277
  s3: 0.0123
  s4: -0.0265
  tilt_x: 0.0021
  tilt_y: 0.0051
  scale: 3.0188
  rotation: 0.3384

Best score: 0.2599: : 799iter [01:14, 11.92iter/s]
Best score: 0.2599: : 800iter [01:14, 11.92iter/s]
Best score: 0.2599: : 801iter [01:14,  7.58iter/s]
Best score: 0.2599: : 801iter [01:14,  7.58iter/s]
Best score: 0.2599: : 802iter [01:14,  7.58iter/s]
Best score: 0.2599: : 803iter [01:14,  8.53iter/s]
Best score: 0.2599: : 803iter [01:14,  8.53iter/s]
Best score: 0.2599: : 804iter [01:14,  8.53iter/s]
Best score: 0.2599: : 805iter [01:14,  9.33iter/s]
Best score: 0.2599: : 805iter [01:15,  9.33iter/s]
Best score: 0.2599: : 806iter [01:15,  9.33iter/s]
Best score: 0.2599: : 807iter [01:15, 10.00iter/s]
Best score: 0.2599: : 807iter [01:15, 10.00iter/s]
Best score: 0.2599: : 808iter [01:15, 10.00iter/s]
Best score: 0.2599: : 809iter [01:15, 10.49iter/s]
Best score: 0.2599: : 809iter [01:15, 10.49iter/s]
Best score: 0.2599: : 810iter [01:15, 10.49iter/s]
Best score: 0.2599: : 811iter [01:15, 10.73iter/s]
Best score: 0.2599: : 811iter [01:15, 10.73iter/s]
Best score: 0.2599: : 812iter [01:15, 10.73iter/s]
Best score: 0.2599: : 813iter [01:15, 11.09iter/s]
Best score: 0.2599: : 813iter [01:15, 11.09iter/s]
Best score: 0.2599: : 814iter [01:15, 11.09iter/s]
Best score: 0.2599: : 815iter [01:15, 11.37iter/s]
Best score: 0.2599: : 815iter [01:15, 11.37iter/s]
Best score: 0.2599: : 816iter [01:15, 11.37iter/s]
Best score: 0.2599: : 817iter [01:15, 11.55iter/s]
Best score: 0.2599: : 817iter [01:16, 11.55iter/s]
Best score: 0.2599: : 818iter [01:16, 11.55iter/s]
Best score: 0.2599: : 819iter [01:16, 11.69iter/s]
Best score: 0.2599: : 819iter [01:16, 11.69iter/s]
Best score: 0.2599: : 820iter [01:16, 11.69iter/s]
Best score: 0.2599: : 821iter [01:16, 11.55iter/s]
Best score: 0.2599: : 821iter [01:16, 11.55iter/s]
Best score: 0.2599: : 822iter [01:16, 11.55iter/s]
Best score: 0.2599: : 823iter [01:16, 11.65iter/s]
Best score: 0.2599: : 823iter [01:16, 11.65iter/s]
Best score: 0.2599: : 824iter [01:16, 11.65iter/s]
Best score: 0.2599: : 825iter [01:16, 11.76iter/s]
Best score: 0.2599: : 825iter [01:16, 11.76iter/s]
Best score: 0.2599: : 826iter [01:16, 11.76iter/s]
Best score: 0.2599: : 827iter [01:16, 11.78iter/s]
Best score: 0.2599: : 827iter [01:16, 11.78iter/s]
Best score: 0.2599: : 828iter [01:16, 11.78iter/s]
Best score: 0.2599: : 829iter [01:16, 11.85iter/s]
Best score: 0.2596: : 829iter [01:17, 11.85iter/s]
Best score: 0.2596: : 830iter [01:17, 11.85iter/s]
Best score: 0.2596: : 831iter [01:17, 11.69iter/s]
Best score: 0.2596: : 831iter [01:17, 11.69iter/s]
Best score: 0.2596: : 832iter [01:17, 11.69iter/s]
Best score: 0.2596: : 833iter [01:17, 11.79iter/s]
Best score: 0.2596: : 833iter [01:17, 11.79iter/s]
Best score: 0.2596: : 834iter [01:17, 11.79iter/s]
Best score: 0.2596: : 835iter [01:17, 11.86iter/s]
Best score: 0.2596: : 835iter [01:17, 11.86iter/s]
Best score: 0.2596: : 836iter [01:17, 11.86iter/s]
Best score: 0.2596: : 837iter [01:17, 11.90iter/s]
Best score: 0.2596: : 837iter [01:17, 11.90iter/s]
Best score: 0.2596: : 838iter [01:17, 11.90iter/s]
Best score: 0.2596: : 839iter [01:17, 11.92iter/s]
Best score: 0.2585: : 839iter [01:17, 11.92iter/s]
Best score: 0.2585: : 840iter [01:17, 11.92iter/s]
Best score: 0.2585: : 841iter [01:17, 11.75iter/s]
Best score: 0.2585: : 841iter [01:18, 11.75iter/s]
Best score: 0.2585: : 842iter [01:18, 11.75iter/s]
Best score: 0.2585: : 843iter [01:18, 11.78iter/s]
Best score: 0.2585: : 843iter [01:18, 11.78iter/s]
Best score: 0.2585: : 844iter [01:18, 11.78iter/s]
Best score: 0.2585: : 845iter [01:18, 11.84iter/s]
Best score: 0.2585: : 845iter [01:18, 11.84iter/s]
Best score: 0.2585: : 846iter [01:18, 11.84iter/s]
Best score: 0.2585: : 847iter [01:18, 11.89iter/s]
Best score: 0.2585: : 847iter [01:18, 11.89iter/s]
Best score: 0.2585: : 848iter [01:18, 11.89iter/s]
Best score: 0.2585: : 849iter [01:18, 11.93iter/s]
[ITER 850] Best: 0.2583
[PARAMS] Current best parameters:
  fx: 571.6566
  fy: 571.3789
  px: 1025.4907
  py: 787.6084
  k1: -0.06331235
  k2: 0.03673396
  k3: -0.01924256
  k4: 0.00404378
  p1: -0.01882069
  p2: -0.01410019
  p3: 0.00077718
  p4: 0.02573338
  s1: 0.0191
  s2: -0.0274
  s3: 0.0160
  s4: -0.0267
  tilt_x: 0.0090
  tilt_y: 0.0073
  scale: 3.0168
  rotation: 0.3293

Best score: 0.2583: : 849iter [01:18, 11.93iter/s]
Best score: 0.2583: : 850iter [01:19, 11.93iter/s]
Best score: 0.2583: : 851iter [01:19,  7.59iter/s]
Best score: 0.2583: : 851iter [01:19,  7.59iter/s]
Best score: 0.2583: : 852iter [01:19,  7.59iter/s]
Best score: 0.2583: : 853iter [01:19,  8.54iter/s]
Best score: 0.2583: : 853iter [01:19,  8.54iter/s]
Best score: 0.2583: : 854iter [01:19,  8.54iter/s]
Best score: 0.2583: : 855iter [01:19,  9.36iter/s]
Best score: 0.2583: : 855iter [01:19,  9.36iter/s]
Best score: 0.2583: : 856iter [01:19,  9.36iter/s]
Best score: 0.2583: : 857iter [01:19, 10.02iter/s]
Best score: 0.2583: : 857iter [01:19, 10.02iter/s]
Best score: 0.2583: : 858iter [01:19, 10.02iter/s]
Best score: 0.2583: : 859iter [01:19, 10.54iter/s]
Best score: 0.2577: : 859iter [01:19, 10.54iter/s]
Best score: 0.2577: : 860iter [01:19, 10.54iter/s]
Best score: 0.2577: : 861iter [01:19, 10.78iter/s]
Best score: 0.2577: : 861iter [01:20, 10.78iter/s]
Best score: 0.2577: : 862iter [01:20, 10.78iter/s]
Best score: 0.2577: : 863iter [01:20, 11.14iter/s]
Best score: 0.2577: : 863iter [01:20, 11.14iter/s]
Best score: 0.2577: : 864iter [01:20, 11.14iter/s]
Best score: 0.2577: : 865iter [01:20, 11.40iter/s]
Best score: 0.2577: : 865iter [01:20, 11.40iter/s]
Best score: 0.2577: : 866iter [01:20, 11.40iter/s]
Best score: 0.2577: : 867iter [01:20, 11.58iter/s]
Best score: 0.2577: : 867iter [01:20, 11.58iter/s]
Best score: 0.2577: : 868iter [01:20, 11.58iter/s]
Best score: 0.2577: : 869iter [01:20, 11.70iter/s]
Best score: 0.2577: : 869iter [01:20, 11.70iter/s]
Best score: 0.2577: : 870iter [01:20, 11.70iter/s]
Best score: 0.2577: : 871iter [01:20, 11.58iter/s]
Best score: 0.2577: : 871iter [01:20, 11.58iter/s]
Best score: 0.2577: : 872iter [01:20, 11.58iter/s]
Best score: 0.2577: : 873iter [01:20, 11.72iter/s]
Best score: 0.2577: : 873iter [01:21, 11.72iter/s]
Best score: 0.2577: : 874iter [01:21, 11.72iter/s]
Best score: 0.2577: : 875iter [01:21, 11.82iter/s]
Best score: 0.2577: : 875iter [01:21, 11.82iter/s]
Best score: 0.2577: : 876iter [01:21, 11.82iter/s]
Best score: 0.2577: : 877iter [01:21, 11.85iter/s]
Best score: 0.2577: : 877iter [01:21, 11.85iter/s]
Best score: 0.2577: : 878iter [01:21, 11.85iter/s]
Best score: 0.2577: : 879iter [01:21, 11.92iter/s]
Best score: 0.2577: : 879iter [01:21, 11.92iter/s]
Best score: 0.2577: : 880iter [01:21, 11.92iter/s]
Best score: 0.2577: : 881iter [01:21, 11.75iter/s]
Best score: 0.2577: : 881iter [01:21, 11.75iter/s]
Best score: 0.2577: : 882iter [01:21, 11.75iter/s]
Best score: 0.2577: : 883iter [01:21, 11.84iter/s]
Best score: 0.2577: : 883iter [01:21, 11.84iter/s]
Best score: 0.2577: : 884iter [01:21, 11.84iter/s]
Best score: 0.2577: : 885iter [01:21, 11.89iter/s]
Best score: 0.2577: : 885iter [01:22, 11.89iter/s]
Best score: 0.2577: : 886iter [01:22, 11.89iter/s]
Best score: 0.2577: : 887iter [01:22, 11.94iter/s]
Best score: 0.2577: : 887iter [01:22, 11.94iter/s]
Best score: 0.2577: : 888iter [01:22, 11.94iter/s]
Best score: 0.2577: : 889iter [01:22, 11.93iter/s]
Best score: 0.2576: : 889iter [01:22, 11.93iter/s]
Best score: 0.2576: : 890iter [01:22, 11.93iter/s]
Best score: 0.2576: : 891iter [01:22, 11.76iter/s]
Best score: 0.2576: : 891iter [01:22, 11.76iter/s]
Best score: 0.2576: : 892iter [01:22, 11.76iter/s]
Best score: 0.2576: : 893iter [01:22, 11.83iter/s]
Best score: 0.2576: : 893iter [01:22, 11.83iter/s]
Best score: 0.2576: : 894iter [01:22, 11.83iter/s]
Best score: 0.2576: : 895iter [01:22, 11.89iter/s]
Best score: 0.2576: : 895iter [01:22, 11.89iter/s]
Best score: 0.2576: : 896iter [01:22, 11.89iter/s]
Best score: 0.2576: : 897iter [01:22, 11.88iter/s]
Best score: 0.2576: : 897iter [01:23, 11.88iter/s]
Best score: 0.2576: : 898iter [01:23, 11.88iter/s]
Best score: 0.2576: : 899iter [01:23, 11.93iter/s]
[ITER 900] Best: 0.2570
Best score: 0.2570: : 899iter [01:23, 11.93iter/s]
[PARAMS] Current best parameters:
  fx: 569.6585
  fy: 569.4076
  px: 1025.0207
  py: 786.6543
  k1: -0.06333532
  k2: 0.03986084
  k3: -0.02099730
  k4: 0.00430022
  p1: -0.01883988
  p2: -0.01594214
  p3: 0.00220541
  p4: 0.02525134
  s1: 0.0191
  s2: -0.0269
  s3: 0.0131
  s4: -0.0257
  tilt_x: 0.0042
  tilt_y: 0.0062
  scale: 3.0186
  rotation: 0.3378

Best score: 0.2570: : 900iter [01:23, 11.93iter/s]
Best score: 0.2570: : 901iter [01:23,  7.56iter/s]
Best score: 0.2570: : 901iter [01:23,  7.56iter/s]
Best score: 0.2570: : 902iter [01:23,  7.56iter/s]
Best score: 0.2570: : 903iter [01:23,  8.49iter/s]
Best score: 0.2570: : 903iter [01:23,  8.49iter/s]
Best score: 0.2570: : 904iter [01:23,  8.49iter/s]
Best score: 0.2570: : 905iter [01:23,  9.32iter/s]
Best score: 0.2570: : 905iter [01:24,  9.32iter/s]
Best score: 0.2570: : 906iter [01:24,  9.32iter/s]
Best score: 0.2570: : 907iter [01:24, 10.01iter/s]
Best score: 0.2570: : 907iter [01:24, 10.01iter/s]
Best score: 0.2570: : 908iter [01:24, 10.01iter/s]
Best score: 0.2570: : 909iter [01:24, 10.53iter/s]
Best score: 0.2562: : 909iter [01:24, 10.53iter/s]
Best score: 0.2562: : 910iter [01:24, 10.53iter/s]
Best score: 0.2562: : 911iter [01:24, 10.77iter/s]
Best score: 0.2562: : 911iter [01:24, 10.77iter/s]
Best score: 0.2562: : 912iter [01:24, 10.77iter/s]
Best score: 0.2562: : 913iter [01:24, 11.11iter/s]
Best score: 0.2562: : 913iter [01:24, 11.11iter/s]
Best score: 0.2562: : 914iter [01:24, 11.11iter/s]
Best score: 0.2562: : 915iter [01:24, 11.35iter/s]
Best score: 0.2562: : 915iter [01:24, 11.35iter/s]
Best score: 0.2562: : 916iter [01:24, 11.35iter/s]
Best score: 0.2562: : 917iter [01:24, 11.54iter/s]
Best score: 0.2562: : 917iter [01:25, 11.54iter/s]
Best score: 0.2562: : 918iter [01:25, 11.54iter/s]
Best score: 0.2562: : 919iter [01:25, 11.60iter/s]
Best score: 0.2551: : 919iter [01:25, 11.60iter/s]
Best score: 0.2551: : 920iter [01:25, 11.60iter/s]
Best score: 0.2551: : 921iter [01:25, 11.53iter/s]
Best score: 0.2551: : 921iter [01:25, 11.53iter/s]
Best score: 0.2551: : 922iter [01:25, 11.53iter/s]
Best score: 0.2551: : 923iter [01:25, 11.68iter/s]
Best score: 0.2551: : 923iter [01:25, 11.68iter/s]
Best score: 0.2551: : 924iter [01:25, 11.68iter/s]
Best score: 0.2551: : 925iter [01:25, 11.79iter/s]
Best score: 0.2551: : 925iter [01:25, 11.79iter/s]
Best score: 0.2551: : 926iter [01:25, 11.79iter/s]
Best score: 0.2551: : 927iter [01:25, 11.86iter/s]
Best score: 0.2551: : 927iter [01:25, 11.86iter/s]
Best score: 0.2551: : 928iter [01:25, 11.86iter/s]
Best score: 0.2551: : 929iter [01:25, 11.91iter/s]
Best score: 0.2548: : 929iter [01:26, 11.91iter/s]
Best score: 0.2548: : 930iter [01:26, 11.91iter/s]
Best score: 0.2548: : 931iter [01:26, 11.74iter/s]
Best score: 0.2548: : 931iter [01:26, 11.74iter/s]
Best score: 0.2548: : 932iter [01:26, 11.74iter/s]
Best score: 0.2548: : 933iter [01:26, 11.82iter/s]
Best score: 0.2548: : 933iter [01:26, 11.82iter/s]
Best score: 0.2548: : 934iter [01:26, 11.82iter/s]
Best score: 0.2548: : 935iter [01:26, 11.89iter/s]
Best score: 0.2548: : 935iter [01:26, 11.89iter/s]
Best score: 0.2548: : 936iter [01:26, 11.89iter/s]
Best score: 0.2548: : 937iter [01:26, 11.94iter/s]
Best score: 0.2548: : 937iter [01:26, 11.94iter/s]
Best score: 0.2548: : 938iter [01:26, 11.94iter/s]
Best score: 0.2548: : 939iter [01:26, 11.97iter/s]
Best score: 0.2548: : 939iter [01:26, 11.97iter/s]
Best score: 0.2548: : 940iter [01:27, 11.97iter/s]
Best score: 0.2548: : 941iter [01:27, 11.78iter/s]
Best score: 0.2548: : 941iter [01:27, 11.78iter/s]
Best score: 0.2548: : 942iter [01:27, 11.78iter/s]
Best score: 0.2548: : 943iter [01:27, 11.86iter/s]
Best score: 0.2548: : 943iter [01:27, 11.86iter/s]
Best score: 0.2548: : 944iter [01:27, 11.86iter/s]
Best score: 0.2548: : 945iter [01:27, 11.91iter/s]
Best score: 0.2548: : 945iter [01:27, 11.91iter/s]
Best score: 0.2548: : 946iter [01:27, 11.91iter/s]
Best score: 0.2548: : 947iter [01:27, 11.94iter/s]
Best score: 0.2548: : 947iter [01:27, 11.94iter/s]
Best score: 0.2548: : 948iter [01:27, 11.94iter/s]
Best score: 0.2548: : 949iter [01:27, 11.96iter/s]
[ITER 950] Best: 0.2543
[PARAMS] Current best parameters:
  fx: 571.3756
  fy: 571.0814
  px: 1023.8195
  py: 787.5758
  k1: -0.06127792
  k2: 0.03192072
  k3: -0.01500907
  k4: 0.00283329
  p1: -0.01823437
  p2: -0.01518670
  p3: -0.00017583
  p4: 0.02845000
  s1: 0.0188
  s2: -0.0293
  s3: 0.0153
  s4: -0.0281
  tilt_x: 0.0076
  tilt_y: 0.0139
  scale: 3.0169
  rotation: 0.3377

Best score: 0.2543: : 949iter [01:27, 11.96iter/s]
Best score: 0.2543: : 950iter [01:28, 11.96iter/s]
Best score: 0.2543: : 951iter [01:28,  7.58iter/s]
Best score: 0.2543: : 951iter [01:28,  7.58iter/s]
Best score: 0.2543: : 952iter [01:28,  7.58iter/s]
Best score: 0.2543: : 953iter [01:28,  8.51iter/s]
Best score: 0.2543: : 953iter [01:28,  8.51iter/s]
Best score: 0.2543: : 954iter [01:28,  8.51iter/s]
Best score: 0.2543: : 955iter [01:28,  9.33iter/s]
Best score: 0.2543: : 955iter [01:28,  9.33iter/s]
Best score: 0.2543: : 956iter [01:28,  9.33iter/s]
Best score: 0.2543: : 957iter [01:28, 10.00iter/s]
Best score: 0.2543: : 957iter [01:28, 10.00iter/s]
Best score: 0.2543: : 958iter [01:28, 10.00iter/s]
Best score: 0.2543: : 959iter [01:28, 10.54iter/s]
Best score: 0.2543: : 959iter [01:28, 10.54iter/s]
Best score: 0.2543: : 960iter [01:29, 10.54iter/s]
Best score: 0.2543: : 961iter [01:29, 10.77iter/s]
Best score: 0.2543: : 961iter [01:29, 10.77iter/s]
Best score: 0.2543: : 962iter [01:29, 10.77iter/s]
Best score: 0.2543: : 963iter [01:29, 11.11iter/s]
Best score: 0.2543: : 963iter [01:29, 11.11iter/s]
Best score: 0.2543: : 964iter [01:29, 11.11iter/s]
Best score: 0.2543: : 965iter [01:29, 11.31iter/s]
Best score: 0.2543: : 965iter [01:29, 11.31iter/s]
Best score: 0.2543: : 966iter [01:29, 11.31iter/s]
Best score: 0.2543: : 967iter [01:29, 11.49iter/s]
Best score: 0.2543: : 967iter [01:29, 11.49iter/s]
Best score: 0.2543: : 968iter [01:29, 11.49iter/s]
Best score: 0.2543: : 969iter [01:29, 11.65iter/s]
Best score: 0.2543: : 969iter [01:29, 11.65iter/s]
Best score: 0.2543: : 970iter [01:29, 11.65iter/s]
Best score: 0.2543: : 971iter [01:29, 11.56iter/s]
Best score: 0.2543: : 971iter [01:29, 11.56iter/s]
Best score: 0.2543: : 972iter [01:30, 11.56iter/s]
Best score: 0.2543: : 973iter [01:30, 11.70iter/s]
Best score: 0.2543: : 973iter [01:30, 11.70iter/s]
Best score: 0.2543: : 974iter [01:30, 11.70iter/s]
Best score: 0.2543: : 975iter [01:30, 11.81iter/s]
Best score: 0.2543: : 975iter [01:30, 11.81iter/s]
Best score: 0.2543: : 976iter [01:30, 11.81iter/s]
Best score: 0.2543: : 977iter [01:30, 11.87iter/s]
Best score: 0.2543: : 977iter [01:30, 11.87iter/s]
Best score: 0.2543: : 978iter [01:30, 11.87iter/s]
Best score: 0.2543: : 979iter [01:30, 11.91iter/s]
Best score: 0.2543: : 979iter [01:30, 11.91iter/s]
Best score: 0.2543: : 980iter [01:30, 11.91iter/s]
Best score: 0.2543: : 981iter [01:30, 11.75iter/s]
Best score: 0.2543: : 981iter [01:30, 11.75iter/s]
Best score: 0.2543: : 982iter [01:30, 11.75iter/s]
Best score: 0.2543: : 983iter [01:30, 11.76iter/s]
Best score: 0.2543: : 983iter [01:30, 11.76iter/s]
Best score: 0.2543: : 984iter [01:31, 11.76iter/s]
Best score: 0.2543: : 985iter [01:31, 11.78iter/s]
Best score: 0.2543: : 985iter [01:31, 11.78iter/s]
Best score: 0.2543: : 986iter [01:31, 11.78iter/s]
Best score: 0.2543: : 987iter [01:31, 11.85iter/s]
Best score: 0.2543: : 987iter [01:31, 11.85iter/s]
Best score: 0.2543: : 988iter [01:31, 11.85iter/s]
Best score: 0.2543: : 989iter [01:31, 11.90iter/s]
Best score: 0.2542: : 989iter [01:31, 11.90iter/s]
Best score: 0.2542: : 990iter [01:31, 11.90iter/s]
Best score: 0.2542: : 991iter [01:31, 11.71iter/s]
Best score: 0.2542: : 991iter [01:31, 11.71iter/s]
Best score: 0.2542: : 992iter [01:31, 11.71iter/s]
Best score: 0.2542: : 993iter [01:31, 11.81iter/s]
Best score: 0.2542: : 993iter [01:31, 11.81iter/s]
Best score: 0.2542: : 994iter [01:31, 11.81iter/s]
Best score: 0.2542: : 995iter [01:31, 11.82iter/s]
Best score: 0.2542: : 995iter [01:32, 11.82iter/s]
Best score: 0.2542: : 996iter [01:32, 11.82iter/s]
Best score: 0.2542: : 997iter [01:32,  9.67iter/s]
Best score: 0.2542: : 997iter [01:32,  9.67iter/s]
Best score: 0.2542: : 998iter [01:32,  9.67iter/s]
Best score: 0.2542: : 999iter [01:32, 10.27iter/s]
[ITER 1000] Best: 0.2541
[PARAMS] Current best parameters:
  fx: 571.7885
  fy: 571.5064
  px: 1023.1687
  py: 787.1948
  k1: -0.06111810
  k2: 0.03111547
  k3: -0.01460574
  k4: 0.00278108
  p1: -0.01886557
  p2: -0.01619260
  p3: -0.00070299
  p4: 0.02906254
  s1: 0.0194
  s2: -0.0298
  s3: 0.0169
  s4: -0.0295
  tilt_x: 0.0067
  tilt_y: 0.0153
  scale: 3.0161
  rotation: 0.3438

Best score: 0.2541: : 999iter [01:32, 10.27iter/s]
Best score: 0.2541: : 1000iter [01:32, 10.27iter/s]
Best score: 0.2541: : 1001iter [01:32,  7.08iter/s]
Best score: 0.2541: : 1001iter [01:32,  7.08iter/s]
Best score: 0.2541: : 1002iter [01:33,  7.08iter/s]
Best score: 0.2541: : 1003iter [01:33,  8.02iter/s]
Best score: 0.2541: : 1003iter [01:33,  8.02iter/s]
Best score: 0.2541: : 1004iter [01:33,  8.02iter/s]
Best score: 0.2541: : 1005iter [01:33,  8.86iter/s]
Best score: 0.2541: : 1005iter [01:33,  8.86iter/s]
Best score: 0.2541: : 1006iter [01:33,  8.86iter/s]
Best score: 0.2541: : 1007iter [01:33,  9.58iter/s]
Best score: 0.2541: : 1007iter [01:33,  9.58iter/s]
Best score: 0.2541: : 1008iter [01:33,  9.58iter/s]
Best score: 0.2541: : 1009iter [01:33, 10.20iter/s]
Best score: 0.2540: : 1009iter [01:33, 10.20iter/s]
Best score: 0.2540: : 1010iter [01:33, 10.20iter/s]
Best score: 0.2540: : 1011iter [01:33, 10.51iter/s]
Best score: 0.2540: : 1011iter [01:33, 10.51iter/s]
Best score: 0.2540: : 1012iter [01:33, 10.51iter/s]
Best score: 0.2540: : 1013iter [01:33, 10.89iter/s]
Best score: 0.2540: : 1013iter [01:33, 10.89iter/s]
Best score: 0.2540: : 1014iter [01:34, 10.89iter/s]
Best score: 0.2540: : 1015iter [01:34, 11.21iter/s]
Best score: 0.2540: : 1015iter [01:34, 11.21iter/s]
Best score: 0.2540: : 1016iter [01:34, 11.21iter/s]
Best score: 0.2540: : 1017iter [01:34, 11.44iter/s]
Best score: 0.2540: : 1017iter [01:34, 11.44iter/s]
Best score: 0.2540: : 1018iter [01:34, 11.44iter/s]
Best score: 0.2540: : 1019iter [01:34, 11.59iter/s]
Best score: 0.2540: : 1019iter [01:34, 11.59iter/s]
Best score: 0.2540: : 1020iter [01:34, 11.59iter/s]
Best score: 0.2540: : 1021iter [01:34, 11.47iter/s]
Best score: 0.2540: : 1021iter [01:34, 11.47iter/s]
Best score: 0.2540: : 1022iter [01:34, 11.47iter/s]
Best score: 0.2540: : 1023iter [01:34, 11.56iter/s]
Best score: 0.2540: : 1023iter [01:34, 11.56iter/s]
Best score: 0.2540: : 1024iter [01:34, 11.56iter/s]
Best score: 0.2540: : 1025iter [01:34, 11.68iter/s]
Best score: 0.2540: : 1025iter [01:34, 11.68iter/s]
Best score: 0.2540: : 1026iter [01:35, 11.68iter/s]
Best score: 0.2540: : 1027iter [01:35, 11.78iter/s]
Best score: 0.2540: : 1027iter [01:35, 11.78iter/s]
Best score: 0.2540: : 1028iter [01:35, 11.78iter/s]
Best score: 0.2540: : 1029iter [01:35, 11.87iter/s]
Best score: 0.2540: : 1029iter [01:35, 11.87iter/s]
Best score: 0.2540: : 1030iter [01:35, 11.87iter/s]
Best score: 0.2540: : 1031iter [01:35, 11.72iter/s]
Best score: 0.2540: : 1031iter [01:35, 11.72iter/s]
Best score: 0.2540: : 1032iter [01:35, 11.72iter/s]
Best score: 0.2540: : 1033iter [01:35, 11.82iter/s]
Best score: 0.2540: : 1033iter [01:35, 11.82iter/s]
Best score: 0.2540: : 1034iter [01:35, 11.82iter/s]
Best score: 0.2540: : 1035iter [01:35, 11.89iter/s]
Best score: 0.2540: : 1035iter [01:35, 11.89iter/s]
Best score: 0.2540: : 1036iter [01:35, 11.89iter/s]
Best score: 0.2540: : 1037iter [01:35, 11.92iter/s]
Best score: 0.2540: : 1037iter [01:35, 11.92iter/s]
Best score: 0.2540: : 1038iter [01:36, 11.92iter/s]
Best score: 0.2540: : 1039iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1039iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1040iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1041iter [01:36, 11.76iter/s]
Best score: 0.2534: : 1041iter [01:36, 11.76iter/s]
Best score: 0.2534: : 1042iter [01:36, 11.76iter/s]
Best score: 0.2534: : 1043iter [01:36, 11.85iter/s]
Best score: 0.2534: : 1043iter [01:36, 11.85iter/s]
Best score: 0.2534: : 1044iter [01:36, 11.85iter/s]
Best score: 0.2534: : 1045iter [01:36, 11.92iter/s]
Best score: 0.2534: : 1045iter [01:36, 11.92iter/s]
Best score: 0.2534: : 1046iter [01:36, 11.92iter/s]
Best score: 0.2534: : 1047iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1047iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1048iter [01:36, 11.95iter/s]
Best score: 0.2534: : 1049iter [01:36, 11.98iter/s]
[ITER 1050] Best: 0.2534
[PARAMS] Current best parameters:
  fx: 569.2392
  fy: 568.9800
  px: 1023.3790
  py: 787.3503
  k1: -0.05311453
  k2: 0.02099583
  k3: -0.00800889
  k4: 0.00120336
  p1: -0.01842864
  p2: -0.01674378
  p3: -0.00279725
  p4: 0.03258506
  s1: 0.0227
  s2: -0.0336
  s3: 0.0184
  s4: -0.0326
  tilt_x: 0.0068
  tilt_y: 0.0129
  scale: 3.0123
  rotation: 0.3415

Best score: 0.2534: : 1049iter [01:36, 11.98iter/s]
Best score: 0.2534: : 1050iter [01:37, 11.98iter/s]
Best score: 0.2534: : 1051iter [01:37,  7.61iter/s]
Best score: 0.2534: : 1051iter [01:37,  7.61iter/s]
Best score: 0.2534: : 1052iter [01:37,  7.61iter/s]
Best score: 0.2534: : 1053iter [01:37,  8.54iter/s]
Best score: 0.2534: : 1053iter [01:37,  8.54iter/s]
Best score: 0.2534: : 1054iter [01:37,  8.54iter/s]
Best score: 0.2534: : 1055iter [01:37,  9.34iter/s]
Best score: 0.2534: : 1055iter [01:37,  9.34iter/s]
Best score: 0.2534: : 1056iter [01:37,  9.34iter/s]
Best score: 0.2534: : 1057iter [01:37, 10.01iter/s]
Best score: 0.2534: : 1057iter [01:37, 10.01iter/s]
Best score: 0.2534: : 1058iter [01:38, 10.01iter/s]
Best score: 0.2534: : 1059iter [01:38, 10.55iter/s]
Best score: 0.2530: : 1059iter [01:38, 10.55iter/s]
Best score: 0.2530: : 1060iter [01:38, 10.55iter/s]
Best score: 0.2530: : 1061iter [01:38, 10.79iter/s]
Best score: 0.2530: : 1061iter [01:38, 10.79iter/s]
Best score: 0.2530: : 1062iter [01:38, 10.79iter/s]
Best score: 0.2530: : 1063iter [01:38, 11.15iter/s]
Best score: 0.2530: : 1063iter [01:38, 11.15iter/s]
Best score: 0.2530: : 1064iter [01:38, 11.15iter/s]
Best score: 0.2530: : 1065iter [01:38, 11.39iter/s]
Best score: 0.2530: : 1065iter [01:38, 11.39iter/s]
Best score: 0.2530: : 1066iter [01:38, 11.39iter/s]
Best score: 0.2530: : 1067iter [01:38, 11.54iter/s]
Best score: 0.2530: : 1067iter [01:38, 11.54iter/s]
Best score: 0.2530: : 1068iter [01:38, 11.54iter/s]
Best score: 0.2530: : 1069iter [01:38, 11.69iter/s]
Best score: 0.2527: : 1069iter [01:38, 11.69iter/s]
Best score: 0.2527: : 1070iter [01:39, 11.69iter/s]
Best score: 0.2527: : 1071iter [01:39, 11.60iter/s]
Best score: 0.2527: : 1071iter [01:39, 11.60iter/s]
Best score: 0.2527: : 1072iter [01:39, 11.60iter/s]
Best score: 0.2527: : 1073iter [01:39, 11.73iter/s]
Best score: 0.2527: : 1073iter [01:39, 11.73iter/s]
Best score: 0.2527: : 1074iter [01:39, 11.73iter/s]
Best score: 0.2527: : 1075iter [01:39, 11.78iter/s]
Best score: 0.2527: : 1075iter [01:39, 11.78iter/s]
Best score: 0.2527: : 1076iter [01:39, 11.78iter/s]
Best score: 0.2527: : 1077iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1077iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1078iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1079iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1079iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1080iter [01:39, 11.86iter/s]
Best score: 0.2527: : 1081iter [01:39, 11.69iter/s]
Best score: 0.2527: : 1081iter [01:39, 11.69iter/s]
Best score: 0.2527: : 1082iter [01:40, 11.69iter/s]
Best score: 0.2527: : 1083iter [01:40, 11.70iter/s]
Best score: 0.2527: : 1083iter [01:40, 11.70iter/s]
Best score: 0.2527: : 1084iter [01:40, 11.70iter/s]
Best score: 0.2527: : 1085iter [01:40, 11.76iter/s]
Best score: 0.2527: : 1085iter [01:40, 11.76iter/s]
Best score: 0.2527: : 1086iter [01:40, 11.76iter/s]
Best score: 0.2527: : 1087iter [01:40, 11.83iter/s]
Best score: 0.2527: : 1087iter [01:40, 11.83iter/s]
Best score: 0.2527: : 1088iter [01:40, 11.83iter/s]
Best score: 0.2527: : 1089iter [01:40, 11.90iter/s]
Best score: 0.2527: : 1089iter [01:40, 11.90iter/s]
Best score: 0.2527: : 1090iter [01:40, 11.90iter/s]
Best score: 0.2527: : 1091iter [01:40, 11.75iter/s]
Best score: 0.2527: : 1091iter [01:40, 11.75iter/s]
Best score: 0.2527: : 1092iter [01:40, 11.75iter/s]
Best score: 0.2527: : 1093iter [01:40, 11.82iter/s]
Best score: 0.2527: : 1093iter [01:40, 11.82iter/s]
Best score: 0.2527: : 1094iter [01:41, 11.82iter/s]
Best score: 0.2527: : 1095iter [01:41, 11.86iter/s]
Best score: 0.2527: : 1095iter [01:41, 11.86iter/s]
Best score: 0.2527: : 1096iter [01:41, 11.86iter/s]
Best score: 0.2527: : 1097iter [01:41, 11.90iter/s]
Best score: 0.2527: : 1097iter [01:41, 11.90iter/s]
Best score: 0.2527: : 1098iter [01:41, 11.90iter/s]
Best score: 0.2527: : 1099iter [01:41, 11.93iter/s]
[ITER 1100] Best: 0.2527
[PARAMS] Current best parameters:
  fx: 568.0604
  fy: 567.7928
  px: 1023.7844
  py: 787.0019
  k1: -0.05247479
  k2: 0.02160270
  k3: -0.00826805
  k4: 0.00119671
  p1: -0.01841249
  p2: -0.01627322
  p3: -0.00160604
  p4: 0.03176342
  s1: 0.0211
  s2: -0.0324
  s3: 0.0168
  s4: -0.0319
  tilt_x: 0.0051
  tilt_y: 0.0116
  scale: 3.0135
  rotation: 0.3398

Best score: 0.2527: : 1099iter [01:41, 11.93iter/s]
Best score: 0.2527: : 1100iter [01:41, 10.80iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.252711 -> 0.251746

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,632 → 92,733 within 3500mm ring
  Ring polish did not improve score: 0.251746
  Success: True
  Tangential distortion: p1=-0.017448, p2=-0.016561, p3=-0.002396, p4=0.030332
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2517
[✅] Parameters copied to: /working/MDC006_W020(6)_2025-11-03/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


-------------------------------------------------------------------
                        Step 4: Undistortion                       
-------------------------------------------------------------------


[DEBUG] Parameters being applied to PTD conversion:
    fx: 568.0603726600357
    fy: 567.7927941733828
    px: 1023.7843452377986
    py: 787.0019250153096
    k1: -0.051770007974926376
    k2: 0.02084064467983478
    k3: -0.00819210433666484
    k4: 0.0012838104311510372
    p1: -0.01744771210395583
    p2: -0.016561361278819332
    p3: -0.002395519296578134
    p4: 0.03033180067812784
    scale: 3.0127457514801437
    rotation: 0.3397790187748091
    mmpp: 3.500026742221599

[🔄] Converting 952 frames to PTD, creating debug images for 400 calibration frames...

📁 Rigs:   0%|          | 0/4 [00:00<?, ?rig/s]

   🔄 1500:   0%|          | 0/299 [00:00<?, ?frame/s]

   🔄 1500:   6%|▋         | 19/299 [00:00<00:01, 180.34frame/s]

   🔄 1500:  13%|█▎        | 38/299 [00:00<00:01, 175.93frame/s]

   🔄 1500:  19%|█▊        | 56/299 [00:00<00:01, 176.24frame/s]

   🔄 1500:  25%|██▍       | 74/299 [00:00<00:01, 176.02frame/s]

   🔄 1500:  31%|███       | 92/299 [00:00<00:01, 176.25frame/s]

   🔄 1500:  37%|███▋      | 110/299 [00:00<00:01, 177.02frame/s]

   🔄 1500:  43%|████▎     | 128/299 [00:00<00:00, 177.40frame/s]

   🔄 1500:  49%|████▉     | 146/299 [00:00<00:00, 177.62frame/s]

   🔄 1500:  55%|█████▍    | 164/299 [00:00<00:00, 177.48frame/s]

   🔄 1500:  61%|██████    | 182/299 [00:01<00:00, 176.37frame/s]

   🔄 1500:  67%|██████▋   | 200/299 [00:01<00:00, 174.97frame/s]

   🔄 1500:  73%|███████▎  | 218/299 [00:01<00:00, 174.53frame/s]

   🔄 1500:  79%|███████▉  | 236/299 [00:01<00:00, 174.62frame/s]

   🔄 1500:  85%|████████▍ | 254/299 [00:01<00:00, 174.71frame/s]

   🔄 1500:  91%|█████████ | 272/299 [00:01<00:00, 174.61frame/s]

   🔄 1500:  97%|█████████▋| 290/299 [00:01<00:00, 174.23frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:03<00:09,  3.13s/rig]

   🔄 2000L:   0%|          | 0/232 [00:00<?, ?frame/s]

   🔄 2000L:   8%|▊         | 18/232 [00:00<00:01, 172.22frame/s]

   🔄 2000L:  16%|█▌        | 36/232 [00:00<00:01, 173.35frame/s]

   🔄 2000L:  23%|██▎       | 54/232 [00:00<00:01, 175.29frame/s]

   🔄 2000L:  31%|███       | 72/232 [00:00<00:00, 176.08frame/s]

   🔄 2000L:  39%|███▉      | 90/232 [00:00<00:00, 176.21frame/s]

   🔄 2000L:  47%|████▋     | 108/232 [00:00<00:00, 175.19frame/s]

   🔄 2000L:  54%|█████▍    | 126/232 [00:00<00:00, 173.97frame/s]

   🔄 2000L:  62%|██████▏   | 144/232 [00:00<00:00, 173.77frame/s]

   🔄 2000L:  70%|██████▉   | 162/232 [00:00<00:00, 174.27frame/s]

   🔄 2000L:  78%|███████▊  | 180/232 [00:01<00:00, 175.09frame/s]

   🔄 2000L:  85%|████████▌ | 198/232 [00:01<00:00, 175.18frame/s]

   🔄 2000L:  93%|█████████▎| 216/232 [00:01<00:00, 174.20frame/s]

                                                                  
📁 Rigs:  50%|█████     | 2/4 [00:05<00:05,  2.69s/rig]

   🔄 1000:   0%|          | 0/207 [00:00<?, ?frame/s]

   🔄 1000:   9%|▉         | 19/207 [00:00<00:01, 185.37frame/s]

   🔄 1000:  18%|█▊        | 38/207 [00:00<00:00, 181.96frame/s]

   🔄 1000:  28%|██▊       | 57/207 [00:00<00:00, 181.60frame/s]

   🔄 1000:  37%|███▋      | 76/207 [00:00<00:00, 180.73frame/s]

   🔄 1000:  46%|████▌     | 95/207 [00:00<00:00, 181.33frame/s]

   🔄 1000:  55%|█████▌    | 114/207 [00:00<00:00, 182.15frame/s]

   🔄 1000:  64%|██████▍   | 133/207 [00:00<00:00, 181.70frame/s]

   🔄 1000:  73%|███████▎  | 152/207 [00:00<00:00, 181.72frame/s]

   🔄 1000:  83%|████████▎ | 171/207 [00:00<00:00, 182.19frame/s]

   🔄 1000:  92%|█████████▏| 190/207 [00:01<00:00, 182.49frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:07<00:02,  2.39s/rig]

   🔄 2000R:   0%|          | 0/214 [00:00<?, ?frame/s]

   🔄 2000R:   8%|▊         | 18/214 [00:00<00:01, 173.57frame/s]

   🔄 2000R:  17%|█▋        | 36/214 [00:00<00:01, 174.88frame/s]

   🔄 2000R:  25%|██▌       | 54/214 [00:00<00:00, 175.76frame/s]

   🔄 2000R:  34%|███▎      | 72/214 [00:00<00:00, 175.72frame/s]

   🔄 2000R:  42%|████▏     | 90/214 [00:00<00:00, 175.13frame/s]

   🔄 2000R:  50%|█████     | 108/214 [00:00<00:00, 174.57frame/s]

   🔄 2000R:  59%|█████▉    | 126/214 [00:00<00:00, 174.54frame/s]

   🔄 2000R:  67%|██████▋   | 144/214 [00:00<00:00, 175.39frame/s]

   🔄 2000R:  76%|███████▌  | 162/214 [00:00<00:00, 176.35frame/s]

   🔄 2000R:  84%|████████▍ | 180/214 [00:01<00:00, 176.86frame/s]

   🔄 2000R:  93%|█████████▎| 198/214 [00:01<00:00, 176.75frame/s]

                                                                  
📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.23s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:09<00:00,  2.38s/rig]
[✅] Saved PTDs: /working/MDC006_W020(6)_2025-11-03/calibration/debug/4_undistorted/output/ptd

📁 Rigs:   0%|          | 0/4 [00:00<?, ?rig/s]

   🔄 1500:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 170.70frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 171.29frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 174.17frame/s]

   🔄 1500:  72%|███████▏  | 72/100 [00:00<00:00, 174.03frame/s]

   🔄 1500:  90%|█████████ | 90/100 [00:00<00:00, 174.25frame/s]

                                                                
📁 Rigs:  25%|██▌       | 1/4 [00:01<00:03,  1.05s/rig]

   🔄 2000L:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 172.40frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 174.22frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 173.53frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 174.22frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 174.51frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:02<00:02,  1.06s/rig]

   🔄 1000:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 1000:  18%|█▊        | 18/100 [00:00<00:00, 176.82frame/s]

   🔄 1000:  36%|███▌      | 36/100 [00:00<00:00, 177.65frame/s]

   🔄 1000:  55%|█████▌    | 55/100 [00:00<00:00, 179.64frame/s]

   🔄 1000:  73%|███████▎  | 73/100 [00:00<00:00, 179.18frame/s]

   🔄 1000:  92%|█████████▏| 92/100 [00:00<00:00, 180.19frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:03<00:01,  1.05s/rig]

   🔄 2000R:   0%|          | 0/100 [00:00<?, ?frame/s]

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 174.86frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.62frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 174.94frame/s]

   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 175.67frame/s]

   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 176.28frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.00s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.02s/rig]
[✅] Saved PTDs: /working/MDC006_W020(6)_2025-11-03/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

📤 Writing LUT:   0%|          | 0/3080448 [00:00<?, ?px/s]
📤 Writing LUT:   3%|▎         | 78274/3080448 [00:00<00:03, 782738.88px/s]
📤 Writing LUT:   5%|▌         | 165315/3080448 [00:00<00:03, 834309.39px/s]
📤 Writing LUT:   8%|▊         | 250316/3080448 [00:00<00:03, 841475.32px/s]
📤 Writing LUT:  11%|█         | 337568/3080448 [00:00<00:03, 853730.89px/s]
📤 Writing LUT:  14%|█▎        | 423479/3080448 [00:00<00:03, 855666.51px/s]
📤 Writing LUT:  17%|█▋        | 510507/3080448 [00:00<00:02, 860631.88px/s]
📤 Writing LUT:  19%|█▉        | 596812/3080448 [00:00<00:02, 861420.67px/s]
📤 Writing LUT:  22%|██▏       | 682955/3080448 [00:00<00:02, 860303.39px/s]
📤 Writing LUT:  25%|██▍       | 768986/3080448 [00:00<00:02, 858574.99px/s]
📤 Writing LUT:  28%|██▊       | 854845/3080448 [00:01<00:02, 857410.28px/s]
📤 Writing LUT:  31%|███       | 942261/3080448 [00:01<00:02, 862524.18px/s]
📤 Writing LUT:  33%|███▎      | 1028516/3080448 [00:01<00:02, 860520.24px/s]
📤 Writing LUT:  36%|███▌      | 1114570/3080448 [00:01<00:02, 859973.95px/s]
📤 Writing LUT:  39%|███▉      | 1200569/3080448 [00:01<00:02, 859274.66px/s]
📤 Writing LUT:  42%|████▏     | 1289566/3080448 [00:01<00:02, 868505.53px/s]
📤 Writing LUT:  45%|████▍     | 1378216/3080448 [00:01<00:01, 873910.52px/s]
📤 Writing LUT:  48%|████▊     | 1466052/3080448 [00:01<00:01, 875244.75px/s]
📤 Writing LUT:  50%|█████     | 1554406/3080448 [00:01<00:01, 877735.09px/s]
📤 Writing LUT:  53%|█████▎    | 1642492/3080448 [00:01<00:01, 878669.61px/s]
📤 Writing LUT:  56%|█████▌    | 1730361/3080448 [00:02<00:01, 877435.97px/s]
📤 Writing LUT:  59%|█████▉    | 1818120/3080448 [00:02<00:01, 877479.26px/s]
📤 Writing LUT:  62%|██████▏   | 1906446/3080448 [00:02<00:01, 879210.37px/s]
📤 Writing LUT:  65%|██████▍   | 1994368/3080448 [00:02<00:01, 878558.32px/s]
📤 Writing LUT:  68%|██████▊   | 2082225/3080448 [00:02<00:01, 877450.81px/s]
📤 Writing LUT:  70%|███████   | 2169971/3080448 [00:02<00:01, 873191.66px/s]
📤 Writing LUT:  73%|███████▎  | 2257425/3080448 [00:02<00:00, 873594.01px/s]
📤 Writing LUT:  76%|███████▌  | 2345103/3080448 [00:02<00:00, 874546.49px/s]
📤 Writing LUT:  79%|███████▉  | 2434313/3080448 [00:02<00:00, 879798.28px/s]
📤 Writing LUT:  82%|████████▏ | 2522296/3080448 [00:02<00:00, 874467.14px/s]
📤 Writing LUT:  85%|████████▍ | 2609752/3080448 [00:03<00:00, 869925.67px/s]
📤 Writing LUT:  88%|████████▊ | 2698644/3080448 [00:03<00:00, 875580.29px/s]
📤 Writing LUT:  90%|█████████ | 2786213/3080448 [00:03<00:00, 872402.10px/s]
📤 Writing LUT:  93%|█████████▎| 2873824/3080448 [00:03<00:00, 873507.20px/s]
📤 Writing LUT:  96%|█████████▌| 2962736/3080448 [00:03<00:00, 878168.44px/s]
📤 Writing LUT:  99%|█████████▉| 3050560/3080448 [00:03<00:00, 876331.04px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 868906.55px/s]
[✅] LUT written to: /working/MDC006_W020(6)_2025-11-03/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC006_W020(6)_2025-11-03' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC006_W020(6)_2025-11-03/calibration/MDC006_W020(6)_2025-11-03_unknown.lut

-------------------------------------------------------------------
                          Step 5: Heatmap                          
-------------------------------------------------------------------

[ℹ️] Detected device type: SMD_P3D (rigs: [1000, 1500, 2000]mm)

📁 Rigs (heatmap):   0%|          | 0/4 [00:00<?, ?rig/s]

   🔥 1500:   0%|          | 0/299 [00:00<?, ?frame/s]

   🔥 1500:   3%|▎         | 9/299 [00:00<00:03, 86.37frame/s]

   🔥 1500:   6%|▋         | 19/299 [00:00<00:03, 88.99frame/s]

   🔥 1500:   9%|▉         | 28/299 [00:00<00:03, 88.16frame/s]

   🔥 1500:  12%|█▏        | 37/299 [00:00<00:03, 84.91frame/s]

   🔥 1500:  15%|█▌        | 46/299 [00:00<00:03, 81.16frame/s]

   🔥 1500:  18%|█▊        | 55/299 [00:00<00:03, 78.21frame/s]

   🔥 1500:  21%|██        | 63/299 [00:00<00:03, 77.26frame/s]

   🔥 1500:  24%|██▎       | 71/299 [00:00<00:02, 76.18frame/s]

   🔥 1500:  26%|██▋       | 79/299 [00:00<00:02, 75.40frame/s]

   🔥 1500:  29%|██▉       | 87/299 [00:01<00:02, 75.46frame/s]

   🔥 1500:  32%|███▏      | 95/299 [00:01<00:02, 76.17frame/s]

   🔥 1500:  34%|███▍      | 103/299 [00:01<00:02, 77.16frame/s]

   🔥 1500:  37%|███▋      | 112/299 [00:01<00:02, 78.31frame/s]

   🔥 1500:  40%|████      | 120/299 [00:01<00:02, 78.63frame/s]

   🔥 1500:  43%|████▎     | 129/299 [00:01<00:02, 79.39frame/s]

   🔥 1500:  46%|████▌     | 138/299 [00:01<00:01, 82.27frame/s]

   🔥 1500:  49%|████▉     | 147/299 [00:01<00:01, 84.04frame/s]

   🔥 1500:  52%|█████▏    | 156/299 [00:01<00:01, 84.61frame/s]

   🔥 1500:  55%|█████▌    | 165/299 [00:02<00:01, 83.36frame/s]

   🔥 1500:  58%|█████▊    | 174/299 [00:02<00:01, 82.43frame/s]

   🔥 1500:  61%|██████    | 183/299 [00:02<00:01, 81.32frame/s]

   🔥 1500:  64%|██████▍   | 192/299 [00:02<00:01, 80.33frame/s]

   🔥 1500:  67%|██████▋   | 201/299 [00:02<00:01, 80.19frame/s]

   🔥 1500:  70%|███████   | 210/299 [00:02<00:01, 80.07frame/s]

   🔥 1500:  73%|███████▎  | 219/299 [00:02<00:01, 79.19frame/s]

   🔥 1500:  76%|███████▋  | 228/299 [00:02<00:00, 79.82frame/s]

   🔥 1500:  79%|███████▉  | 237/299 [00:02<00:00, 81.85frame/s]

   🔥 1500:  83%|████████▎ | 247/299 [00:03<00:00, 84.73frame/s]

   🔥 1500:  86%|████████▌ | 256/299 [00:03<00:00, 85.23frame/s]

   🔥 1500:  89%|████████▊ | 265/299 [00:03<00:00, 85.64frame/s]

   🔥 1500:  92%|█████████▏| 275/299 [00:03<00:00, 87.16frame/s]

   🔥 1500:  95%|█████████▍| 284/299 [00:03<00:00, 87.48frame/s]

   🔥 1500:  98%|█████████▊| 294/299 [00:03<00:00, 88.37frame/s]

                                                                [✅] 1500: /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:05<00:15,  5.08s/rig]

   🔥 2000L:   0%|          | 0/232 [00:00<?, ?frame/s]

   🔥 2000L:   3%|▎         | 7/232 [00:00<00:03, 68.60frame/s]

   🔥 2000L:   6%|▋         | 15/232 [00:00<00:02, 74.15frame/s]

   🔥 2000L:  10%|▉         | 23/232 [00:00<00:02, 76.42frame/s]

   🔥 2000L:  13%|█▎        | 31/232 [00:00<00:02, 77.34frame/s]

   🔥 2000L:  17%|█▋        | 40/232 [00:00<00:02, 79.04frame/s]

   🔥 2000L:  21%|██        | 49/232 [00:00<00:02, 80.09frame/s]

   🔥 2000L:  25%|██▌       | 58/232 [00:00<00:02, 81.28frame/s]

   🔥 2000L:  29%|██▉       | 67/232 [00:00<00:01, 83.37frame/s]

   🔥 2000L:  33%|███▎      | 77/232 [00:00<00:01, 85.55frame/s]

   🔥 2000L:  38%|███▊      | 87/232 [00:01<00:01, 88.90frame/s]

   🔥 2000L:  42%|████▏     | 97/232 [00:01<00:01, 90.60frame/s]

   🔥 2000L:  46%|████▌     | 107/232 [00:01<00:01, 91.37frame/s]

   🔥 2000L:  50%|█████     | 117/232 [00:01<00:01, 90.68frame/s]

   🔥 2000L:  55%|█████▍    | 127/232 [00:01<00:01, 90.78frame/s]

   🔥 2000L:  59%|█████▉    | 137/232 [00:01<00:01, 92.18frame/s]

   🔥 2000L:  63%|██████▎   | 147/232 [00:01<00:00, 94.16frame/s]

   🔥 2000L:  68%|██████▊   | 158/232 [00:01<00:00, 96.95frame/s]

   🔥 2000L:  72%|███████▏  | 168/232 [00:01<00:00, 96.78frame/s]

   🔥 2000L:  77%|███████▋  | 178/232 [00:02<00:00, 92.66frame/s]

   🔥 2000L:  81%|████████  | 188/232 [00:02<00:00, 89.15frame/s]

   🔥 2000L:  85%|████████▍ | 197/232 [00:02<00:00, 86.88frame/s]

   🔥 2000L:  89%|████████▉ | 206/232 [00:02<00:00, 83.40frame/s]

   🔥 2000L:  93%|█████████▎| 215/232 [00:02<00:00, 80.66frame/s]

   🔥 2000L:  97%|█████████▋| 224/232 [00:02<00:00, 79.35frame/s]

   🔥 2000L: 100%|██████████| 232/232 [00:02<00:00, 78.62frame/s]

                                                                 [✅] 2000L: /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:09<00:09,  4.61s/rig]

   🔥 1000:   0%|          | 0/207 [00:00<?, ?frame/s]

   🔥 1000:   4%|▍         | 9/207 [00:00<00:02, 86.73frame/s]

   🔥 1000:   9%|▊         | 18/207 [00:00<00:02, 87.93frame/s]

   🔥 1000:  14%|█▎        | 28/207 [00:00<00:01, 90.16frame/s]

   🔥 1000:  18%|█▊        | 38/207 [00:00<00:01, 87.42frame/s]

   🔥 1000:  23%|██▎       | 47/207 [00:00<00:01, 83.82frame/s]

   🔥 1000:  27%|██▋       | 56/207 [00:00<00:01, 82.85frame/s]

   🔥 1000:  31%|███▏      | 65/207 [00:00<00:01, 82.76frame/s]

   🔥 1000:  36%|███▌      | 74/207 [00:00<00:01, 83.68frame/s]

   🔥 1000:  40%|████      | 83/207 [00:00<00:01, 84.65frame/s]

   🔥 1000:  44%|████▍     | 92/207 [00:01<00:01, 85.09frame/s]

   🔥 1000:  49%|████▉     | 102/207 [00:01<00:01, 87.87frame/s]

   🔥 1000:  54%|█████▍    | 112/207 [00:01<00:01, 89.78frame/s]

   🔥 1000:  59%|█████▉    | 122/207 [00:01<00:00, 89.68frame/s]

   🔥 1000:  63%|██████▎   | 131/207 [00:01<00:00, 87.31frame/s]

   🔥 1000:  68%|██████▊   | 140/207 [00:01<00:00, 86.25frame/s]

   🔥 1000:  72%|███████▏  | 149/207 [00:01<00:00, 85.71frame/s]

   🔥 1000:  76%|███████▋  | 158/207 [00:01<00:00, 86.46frame/s]

   🔥 1000:  81%|████████  | 168/207 [00:01<00:00, 88.12frame/s]

   🔥 1000:  86%|████████▌ | 178/207 [00:02<00:00, 90.23frame/s]

   🔥 1000:  91%|█████████ | 188/207 [00:02<00:00, 91.30frame/s]

   🔥 1000:  96%|█████████▌| 198/207 [00:02<00:00, 91.66frame/s]

                                                                [✅] 1000: /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:12<00:03,  3.91s/rig]

   🔥 2000R:   0%|          | 0/214 [00:00<?, ?frame/s]

   🔥 2000R:   4%|▎         | 8/214 [00:00<00:02, 74.98frame/s]

   🔥 2000R:   7%|▋         | 16/214 [00:00<00:02, 76.49frame/s]

   🔥 2000R:  11%|█         | 24/214 [00:00<00:02, 77.85frame/s]

   🔥 2000R:  15%|█▌        | 33/214 [00:00<00:02, 79.96frame/s]

   🔥 2000R:  20%|█▉        | 42/214 [00:00<00:02, 81.94frame/s]

   🔥 2000R:  24%|██▍       | 51/214 [00:00<00:01, 83.13frame/s]

   🔥 2000R:  29%|██▊       | 61/214 [00:00<00:01, 88.28frame/s]

   🔥 2000R:  33%|███▎      | 71/214 [00:00<00:01, 90.02frame/s]

   🔥 2000R:  38%|███▊      | 81/214 [00:00<00:01, 91.56frame/s]

   🔥 2000R:  43%|████▎     | 91/214 [00:01<00:01, 92.06frame/s]

   🔥 2000R:  47%|████▋     | 101/214 [00:01<00:01, 92.39frame/s]

   🔥 2000R:  52%|█████▏    | 111/214 [00:01<00:01, 94.19frame/s]

   🔥 2000R:  57%|█████▋    | 122/214 [00:01<00:00, 97.67frame/s]

   🔥 2000R:  62%|██████▏   | 133/214 [00:01<00:00, 99.92frame/s]

   🔥 2000R:  67%|██████▋   | 144/214 [00:01<00:00, 101.12frame/s]

   🔥 2000R:  72%|███████▏  | 155/214 [00:01<00:00, 97.60frame/s] 

   🔥 2000R:  77%|███████▋  | 165/214 [00:01<00:00, 92.36frame/s]

   🔥 2000R:  82%|████████▏ | 175/214 [00:01<00:00, 89.37frame/s]

   🔥 2000R:  86%|████████▌ | 184/214 [00:02<00:00, 87.23frame/s]

   🔥 2000R:  90%|█████████ | 193/214 [00:02<00:00, 84.87frame/s]

   🔥 2000R:  94%|█████████▍| 202/214 [00:02<00:00, 82.96frame/s]

   🔥 2000R:  99%|█████████▊| 211/214 [00:02<00:00, 81.19frame/s]

                                                                 [✅] 2000R: /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:16<00:00,  3.94s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:16<00:00,  4.10s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC006_W020(6)_2025-11-03/calibration/debug/5_heatmap
[🏁] Finished processing MDC006_W020(6)_2025-11-03


================================================================================================================================
================================================================================================================================