2026-05-17T22:23:43 - INFO: Slick 0.0.8a11

🟢 Starting Calibration Pipeline

=== Processing MDC053_W024(6)_2025-08-06 ===
2026-05-17T22:23:43 - INFO: Camera ID: 6396150
2026-05-17T22:23:43 - INFO: Wand ID: 
2026-05-17T22:23:43 - INFO: Recorded At: 2025-08-06T01:47:36Z

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                        Step 1: Digitization                       
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[🔄] 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 377 stationary frames, 353 remain


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→ 1000 Phase 2: corners: 100%|█████████▉| 352/353 [00:02<00:00, 171.06it/s]

                                                                           [PASS2] Frame 0000650: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000651: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000652: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000653: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000652: fixed corners {3} (was_fixed=True, trusted=True)


→ 1000 Phase 3: finalize:   0%|          | 0/353 [00:00<?, ?it/s][PASS2] Summary: 2 frames fixed, 2 untrusted, 353 total


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→ 1000 Phase 3: finalize:  99%|█████████▉| 350/353 [00:07<00:00, 46.65it/s]

                                                                           
[TIMING] 1000 — 353 frames
  Phase 1  radial detect   (parallel)  :   5.49s  (15.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.52s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.27s
  Phase 3  finalize        (sequential):   7.43s  (21.0 ms/frame)
    decode + undistort                 :   4.49s  (12.7 ms/frame)
    corner apply + refinement          :   1.27s  (3.6 ms/frame)
    segment                            :   1.36s  (3.8 ms/frame)
    smooth                             :   0.19s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  15.71s


Processing Rigs:  25%|██▌       | 1/4 [00:19<00:59, 19.94s/it][INFO] Filtered 518 stationary frames, 861 remain


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→ 2000L (861 images) Phase 1:  80%|████████  | 693/861 [00:10<00:02, 63.95it/s]

→ 2000L (861 images) Phase 1:  81%|████████▏ | 700/861 [00:10<00:02, 65.05it/s]

→ 2000L (861 images) Phase 1:  83%|████████▎ | 711/861 [00:10<00:02, 74.71it/s]

→ 2000L (861 images) Phase 1:  84%|████████▎ | 719/861 [00:10<00:01, 72.36it/s]

→ 2000L (861 images) Phase 1:  84%|████████▍ | 727/861 [00:11<00:01, 70.24it/s]

→ 2000L (861 images) Phase 1:  85%|████████▌ | 735/861 [00:11<00:01, 69.40it/s]

→ 2000L (861 images) Phase 1:  86%|████████▋ | 743/861 [00:11<00:01, 67.70it/s]

→ 2000L (861 images) Phase 1:  87%|████████▋ | 752/861 [00:11<00:01, 70.89it/s]

→ 2000L (861 images) Phase 1:  88%|████████▊ | 760/861 [00:11<00:01, 67.26it/s]

→ 2000L (861 images) Phase 1:  89%|████████▉ | 768/861 [00:11<00:01, 70.40it/s]

→ 2000L (861 images) Phase 1:  90%|█████████ | 776/861 [00:11<00:01, 68.61it/s]

→ 2000L (861 images) Phase 1:  91%|█████████ | 783/861 [00:11<00:01, 67.86it/s]

→ 2000L (861 images) Phase 1:  92%|█████████▏| 792/861 [00:12<00:00, 71.66it/s]

→ 2000L (861 images) Phase 1:  93%|█████████▎| 800/861 [00:12<00:00, 65.78it/s]

→ 2000L (861 images) Phase 1:  94%|█████████▍| 808/861 [00:12<00:00, 63.80it/s]

→ 2000L (861 images) Phase 1:  95%|█████████▌| 818/861 [00:12<00:00, 72.68it/s]

→ 2000L (861 images) Phase 1:  96%|█████████▌| 826/861 [00:12<00:00, 72.19it/s]

→ 2000L (861 images) Phase 1:  97%|█████████▋| 834/861 [00:12<00:00, 72.39it/s]

→ 2000L (861 images) Phase 1:  98%|█████████▊| 842/861 [00:12<00:00, 71.01it/s]

→ 2000L (861 images) Phase 1:  99%|█████████▉| 856/861 [00:12<00:00, 89.39it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/861 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/861 [00:00<04:04,  3.51it/s]

→ 2000L Phase 2: corners:   2%|▏         | 18/861 [00:00<00:14, 57.83it/s]

→ 2000L Phase 2: corners:   3%|▎         | 30/861 [00:00<00:10, 76.60it/s]

→ 2000L Phase 2: corners:   5%|▍         | 43/861 [00:00<00:08, 91.89it/s]

→ 2000L Phase 2: corners:   7%|▋         | 57/861 [00:00<00:07, 106.00it/s]

→ 2000L Phase 2: corners:   8%|▊         | 71/861 [00:00<00:07, 111.76it/s]

→ 2000L Phase 2: corners:  10%|▉         | 85/861 [00:00<00:06, 115.62it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 101/861 [00:01<00:06, 124.22it/s]

→ 2000L Phase 2: corners:  13%|█▎        | 115/861 [00:01<00:05, 127.21it/s]

→ 2000L Phase 2: corners:  15%|█▌        | 130/861 [00:01<00:05, 130.82it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 145/861 [00:01<00:05, 135.78it/s]

→ 2000L Phase 2: corners:  19%|█▉        | 162/861 [00:01<00:04, 143.13it/s]

→ 2000L Phase 2: corners:  21%|██        | 182/861 [00:01<00:04, 145.15it/s]

→ 2000L Phase 2: corners:  23%|██▎       | 197/861 [00:01<00:04, 136.08it/s]

→ 2000L Phase 2: corners:  25%|██▍       | 211/861 [00:01<00:04, 135.36it/s]

→ 2000L Phase 2: corners:  26%|██▌       | 225/861 [00:01<00:04, 135.82it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 241/861 [00:02<00:04, 140.44it/s]

→ 2000L Phase 2: corners:  30%|██▉       | 256/861 [00:02<00:04, 141.85it/s]

→ 2000L Phase 2: corners:  31%|███▏      | 271/861 [00:02<00:04, 141.48it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 286/861 [00:02<00:04, 133.95it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 306/861 [00:02<00:03, 149.75it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 322/861 [00:02<00:03, 150.41it/s]

→ 2000L Phase 2: corners:  39%|███▉      | 338/861 [00:02<00:03, 152.34it/s]

→ 2000L Phase 2: corners:  41%|████      | 354/861 [00:02<00:03, 143.69it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 373/861 [00:02<00:03, 154.11it/s]

→ 2000L Phase 2: corners:  45%|████▌     | 390/861 [00:03<00:03, 156.78it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 406/861 [00:03<00:03, 145.68it/s]

→ 2000L Phase 2: corners:  49%|████▉     | 421/861 [00:03<00:03, 143.24it/s]

→ 2000L Phase 2: corners:  51%|█████     | 437/861 [00:03<00:02, 143.50it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 455/861 [00:03<00:02, 151.60it/s]

→ 2000L Phase 2: corners:  55%|█████▍    | 471/861 [00:03<00:02, 150.43it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 487/861 [00:03<00:03, 121.77it/s]

→ 2000L Phase 2: corners:  58%|█████▊    | 503/861 [00:03<00:02, 131.01it/s]

→ 2000L Phase 2: corners:  60%|██████    | 519/861 [00:03<00:02, 137.18it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 535/861 [00:04<00:02, 138.55it/s]

→ 2000L Phase 2: corners:  64%|██████▍   | 553/861 [00:04<00:02, 139.75it/s]

→ 2000L Phase 2: corners:  66%|██████▌   | 568/861 [00:04<00:02, 138.50it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 583/861 [00:04<00:02, 132.39it/s]

→ 2000L Phase 2: corners:  69%|██████▉   | 597/861 [00:04<00:02, 123.89it/s]

→ 2000L Phase 2: corners:  71%|███████▏  | 615/861 [00:04<00:01, 136.15it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 629/861 [00:04<00:01, 132.57it/s]

→ 2000L Phase 2: corners:  75%|███████▍  | 643/861 [00:04<00:01, 130.79it/s]

→ 2000L Phase 2: corners:  77%|███████▋  | 660/861 [00:05<00:01, 136.15it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 674/861 [00:05<00:01, 136.56it/s]

→ 2000L Phase 2: corners:  80%|████████  | 691/861 [00:05<00:01, 143.48it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 709/861 [00:05<00:01, 151.88it/s]

→ 2000L Phase 2: corners:  85%|████████▍ | 729/861 [00:05<00:00, 160.30it/s]

→ 2000L Phase 2: corners:  87%|████████▋ | 750/861 [00:05<00:00, 172.47it/s]

→ 2000L Phase 2: corners:  89%|████████▉ | 768/861 [00:05<00:00, 171.59it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 789/861 [00:05<00:00, 181.46it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 808/861 [00:05<00:00, 178.60it/s]

→ 2000L Phase 2: corners:  96%|█████████▌| 827/861 [00:05<00:00, 177.93it/s]

→ 2000L Phase 2: corners:  98%|█████████▊| 845/861 [00:06<00:00, 177.01it/s]

                                                                            [PASS2] Frame 0001014: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001015: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001016: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001017: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001016: fixed corners {2} (was_fixed=True, trusted=True)

[PASS2] Summary: 2 frames fixed, 2 untrusted, 861 total

→ 2000L Phase 3: finalize:   0%|          | 0/861 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   0%|          | 4/861 [00:00<00:23, 35.98it/s]

→ 2000L Phase 3: finalize:   1%|          | 9/861 [00:00<00:21, 39.76it/s]

→ 2000L Phase 3: finalize:   2%|▏         | 14/861 [00:00<00:19, 42.85it/s]

→ 2000L Phase 3: finalize:   2%|▏         | 19/861 [00:00<00:19, 44.27it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 24/861 [00:00<00:18, 46.06it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 29/861 [00:00<00:17, 47.22it/s]

→ 2000L Phase 3: finalize:   4%|▍         | 34/861 [00:00<00:17, 48.09it/s]

→ 2000L Phase 3: finalize:   5%|▍         | 39/861 [00:00<00:17, 46.94it/s]

→ 2000L Phase 3: finalize:   5%|▌         | 44/861 [00:00<00:18, 43.28it/s]

→ 2000L Phase 3: finalize:   6%|▌         | 49/861 [00:01<00:19, 41.08it/s]

→ 2000L Phase 3: finalize:   6%|▋         | 54/861 [00:01<00:20, 39.70it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 59/861 [00:01<00:20, 38.70it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 63/861 [00:01<00:20, 38.26it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 67/861 [00:01<00:20, 37.87it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 71/861 [00:01<00:21, 37.53it/s]

→ 2000L Phase 3: finalize:   9%|▊         | 75/861 [00:01<00:20, 37.45it/s]

→ 2000L Phase 3: finalize:   9%|▉         | 79/861 [00:01<00:20, 37.32it/s]

→ 2000L Phase 3: finalize:  10%|▉         | 83/861 [00:02<00:20, 37.38it/s]

→ 2000L Phase 3: finalize:  10%|█         | 87/861 [00:02<00:20, 37.53it/s]

→ 2000L Phase 3: finalize:  11%|█         | 91/861 [00:02<00:20, 37.41it/s]

→ 2000L Phase 3: finalize:  11%|█         | 95/861 [00:02<00:20, 37.54it/s]

→ 2000L Phase 3: finalize:  11%|█▏        | 99/861 [00:02<00:20, 37.65it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 103/861 [00:02<00:20, 37.61it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 107/861 [00:02<00:20, 37.68it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 111/861 [00:02<00:19, 37.69it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 115/861 [00:02<00:19, 37.74it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 119/861 [00:03<00:19, 37.81it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 123/861 [00:03<00:19, 37.68it/s]

→ 2000L Phase 3: finalize:  15%|█▍        | 127/861 [00:03<00:19, 37.75it/s]

→ 2000L Phase 3: finalize:  15%|█▌        | 131/861 [00:03<00:19, 37.81it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 135/861 [00:03<00:19, 38.12it/s]

→ 2000L Phase 3: finalize:  16%|█▋        | 140/861 [00:03<00:18, 39.74it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 144/861 [00:03<00:18, 39.18it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 148/861 [00:03<00:18, 38.75it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 152/861 [00:03<00:18, 38.38it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 156/861 [00:03<00:18, 38.20it/s]

→ 2000L Phase 3: finalize:  19%|█▊        | 160/861 [00:04<00:18, 37.99it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 164/861 [00:04<00:18, 37.95it/s]

→ 2000L Phase 3: finalize:  20%|█▉        | 169/861 [00:04<00:17, 38.73it/s]

→ 2000L Phase 3: finalize:  20%|██        | 173/861 [00:04<00:18, 37.24it/s]

→ 2000L Phase 3: finalize:  21%|██        | 177/861 [00:04<00:18, 36.12it/s]

→ 2000L Phase 3: finalize:  21%|██        | 181/861 [00:04<00:19, 35.44it/s]

→ 2000L Phase 3: finalize:  21%|██▏       | 185/861 [00:04<00:18, 36.07it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 190/861 [00:04<00:17, 39.36it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 196/861 [00:04<00:15, 42.87it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 202/861 [00:05<00:14, 45.16it/s]

→ 2000L Phase 3: finalize:  24%|██▍       | 208/861 [00:05<00:13, 46.90it/s]

→ 2000L Phase 3: finalize:  25%|██▍       | 213/861 [00:05<00:13, 47.08it/s]

→ 2000L Phase 3: finalize:  25%|██▌       | 218/861 [00:05<00:13, 47.50it/s]

→ 2000L Phase 3: finalize:  26%|██▌       | 223/861 [00:05<00:13, 48.03it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 229/861 [00:05<00:12, 48.62it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 235/861 [00:05<00:12, 49.20it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 241/861 [00:05<00:12, 49.48it/s]

→ 2000L Phase 3: finalize:  29%|██▊       | 247/861 [00:06<00:12, 49.96it/s]

→ 2000L Phase 3: finalize:  29%|██▉       | 253/861 [00:06<00:12, 49.61it/s]

→ 2000L Phase 3: finalize:  30%|██▉       | 258/861 [00:06<00:12, 47.71it/s]

→ 2000L Phase 3: finalize:  31%|███       | 264/861 [00:06<00:12, 48.92it/s]

→ 2000L Phase 3: finalize:  31%|███▏      | 270/861 [00:06<00:11, 49.69it/s]

→ 2000L Phase 3: finalize:  32%|███▏      | 276/861 [00:06<00:11, 50.43it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 282/861 [00:06<00:11, 51.06it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 288/861 [00:06<00:11, 51.59it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 294/861 [00:06<00:10, 52.07it/s]

→ 2000L Phase 3: finalize:  35%|███▍      | 300/861 [00:07<00:10, 52.30it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 306/861 [00:07<00:10, 52.60it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 312/861 [00:07<00:10, 52.09it/s]

→ 2000L Phase 3: finalize:  37%|███▋      | 318/861 [00:07<00:10, 50.06it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 324/861 [00:07<00:10, 50.96it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 330/861 [00:07<00:10, 51.68it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 336/861 [00:07<00:10, 52.25it/s]

→ 2000L Phase 3: finalize:  40%|███▉      | 342/861 [00:07<00:09, 52.62it/s]

→ 2000L Phase 3: finalize:  40%|████      | 348/861 [00:07<00:09, 53.11it/s]

→ 2000L Phase 3: finalize:  41%|████      | 354/861 [00:08<00:09, 53.72it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 360/861 [00:08<00:09, 54.33it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 366/861 [00:08<00:09, 54.47it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 372/861 [00:08<00:08, 54.86it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 378/861 [00:08<00:08, 55.03it/s]

→ 2000L Phase 3: finalize:  45%|████▍     | 384/861 [00:08<00:08, 55.14it/s]

→ 2000L Phase 3: finalize:  45%|████▌     | 390/861 [00:08<00:08, 55.38it/s]

→ 2000L Phase 3: finalize:  46%|████▌     | 396/861 [00:08<00:08, 55.48it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 402/861 [00:08<00:08, 55.62it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 408/861 [00:09<00:08, 55.64it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 414/861 [00:09<00:08, 55.69it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 420/861 [00:09<00:08, 54.41it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 426/861 [00:09<00:08, 54.06it/s]

→ 2000L Phase 3: finalize:  50%|█████     | 432/861 [00:09<00:08, 50.67it/s]

→ 2000L Phase 3: finalize:  51%|█████     | 438/861 [00:09<00:08, 48.64it/s]

→ 2000L Phase 3: finalize:  51%|█████▏    | 443/861 [00:09<00:08, 47.07it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 449/861 [00:09<00:08, 49.14it/s]

→ 2000L Phase 3: finalize:  53%|█████▎    | 455/861 [00:09<00:08, 50.17it/s]

→ 2000L Phase 3: finalize:  54%|█████▎    | 461/861 [00:10<00:07, 51.03it/s]

→ 2000L Phase 3: finalize:  54%|█████▍    | 467/861 [00:10<00:07, 51.51it/s]

→ 2000L Phase 3: finalize:  55%|█████▍    | 473/861 [00:10<00:07, 51.91it/s]

→ 2000L Phase 3: finalize:  56%|█████▌    | 479/861 [00:10<00:08, 47.74it/s]

→ 2000L Phase 3: finalize:  56%|█████▌    | 484/861 [00:10<00:08, 45.15it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 489/861 [00:10<00:08, 43.45it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 494/861 [00:10<00:08, 42.11it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 499/861 [00:10<00:08, 41.24it/s]

→ 2000L Phase 3: finalize:  59%|█████▊    | 504/861 [00:11<00:08, 40.66it/s]

→ 2000L Phase 3: finalize:  59%|█████▉    | 509/861 [00:11<00:08, 40.26it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 514/861 [00:11<00:08, 40.00it/s]

→ 2000L Phase 3: finalize:  60%|██████    | 519/861 [00:11<00:08, 39.73it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 523/861 [00:11<00:08, 39.62it/s]

→ 2000L Phase 3: finalize:  61%|██████▏   | 528/861 [00:11<00:08, 40.70it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 533/861 [00:11<00:08, 40.25it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 538/861 [00:11<00:08, 39.91it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 542/861 [00:12<00:08, 39.72it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 546/861 [00:12<00:07, 39.45it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 550/861 [00:12<00:07, 39.35it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 554/861 [00:12<00:07, 39.18it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 558/861 [00:12<00:07, 39.01it/s]

→ 2000L Phase 3: finalize:  65%|██████▌   | 562/861 [00:12<00:07, 38.90it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 566/861 [00:12<00:07, 38.74it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 570/861 [00:12<00:07, 38.65it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 574/861 [00:12<00:07, 38.50it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 578/861 [00:13<00:07, 38.22it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 582/861 [00:13<00:07, 38.08it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 586/861 [00:13<00:07, 37.96it/s]

→ 2000L Phase 3: finalize:  69%|██████▊   | 590/861 [00:13<00:07, 37.74it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 594/861 [00:13<00:07, 37.64it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 598/861 [00:13<00:07, 37.44it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 602/861 [00:13<00:06, 37.36it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 606/861 [00:13<00:06, 37.29it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 610/861 [00:13<00:06, 37.16it/s]

→ 2000L Phase 3: finalize:  71%|███████▏  | 615/861 [00:13<00:06, 38.69it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 619/861 [00:14<00:06, 36.93it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 623/861 [00:14<00:06, 35.65it/s]

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→ 2000L Phase 3: finalize:  99%|█████████▉| 853/861 [00:19<00:00, 45.69it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 858/861 [00:19<00:00, 45.85it/s]

                                                                            
[TIMING] 2000L — 861 frames
  Phase 1  radial detect   (parallel)  :  13.02s  (15.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.21s  (7.2 ms/frame)
  Phase 2b corner fix      (sequential):   0.58s
  Phase 3  finalize        (sequential):  20.01s  (23.2 ms/frame)
    decode + undistort                 :   9.86s  (11.5 ms/frame)
    corner apply + refinement          :   4.83s  (5.6 ms/frame)
    segment                            :   4.39s  (5.1 ms/frame)
    smooth                             :   0.55s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  39.82s


Processing Rigs:  50%|█████     | 2/4 [01:07<01:12, 36.09s/it][INFO] Filtered 593 stationary frames, 1121 remain


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→ 2000R (1121 images) Phase 1:  83%|████████▎ | 930/1121 [00:19<00:03, 58.27it/s]

→ 2000R (1121 images) Phase 1:  84%|████████▎ | 937/1121 [00:19<00:03, 54.67it/s]

→ 2000R (1121 images) Phase 1:  84%|████████▍ | 943/1121 [00:20<00:03, 47.59it/s]

→ 2000R (1121 images) Phase 1:  85%|████████▍ | 949/1121 [00:20<00:03, 46.84it/s]

→ 2000R (1121 images) Phase 1:  85%|████████▌ | 955/1121 [00:20<00:03, 48.23it/s]

→ 2000R (1121 images) Phase 1:  86%|████████▌ | 964/1121 [00:20<00:02, 56.99it/s]

→ 2000R (1121 images) Phase 1:  87%|████████▋ | 970/1121 [00:20<00:03, 48.57it/s]

→ 2000R (1121 images) Phase 1:  87%|████████▋ | 976/1121 [00:20<00:02, 48.51it/s]

→ 2000R (1121 images) Phase 1:  88%|████████▊ | 982/1121 [00:20<00:02, 48.49it/s]

→ 2000R (1121 images) Phase 1:  88%|████████▊ | 988/1121 [00:21<00:02, 47.60it/s]

→ 2000R (1121 images) Phase 1:  89%|████████▊ | 994/1121 [00:21<00:02, 49.75it/s]

→ 2000R (1121 images) Phase 1:  89%|████████▉ | 1000/1121 [00:21<00:02, 50.16it/s]

→ 2000R (1121 images) Phase 1:  90%|████████▉ | 1006/1121 [00:21<00:02, 49.01it/s]

→ 2000R (1121 images) Phase 1:  90%|█████████ | 1012/1121 [00:21<00:02, 46.92it/s]

→ 2000R (1121 images) Phase 1:  91%|█████████ | 1017/1121 [00:21<00:02, 46.11it/s]

→ 2000R (1121 images) Phase 1:  91%|█████████▏| 1023/1121 [00:21<00:01, 49.05it/s]

→ 2000R (1121 images) Phase 1:  92%|█████████▏| 1030/1121 [00:21<00:01, 54.32it/s]

→ 2000R (1121 images) Phase 1:  92%|█████████▏| 1036/1121 [00:21<00:01, 55.45it/s]

→ 2000R (1121 images) Phase 1:  93%|█████████▎| 1042/1121 [00:22<00:01, 54.15it/s]

→ 2000R (1121 images) Phase 1:  93%|█████████▎| 1048/1121 [00:22<00:01, 44.16it/s]

→ 2000R (1121 images) Phase 1:  94%|█████████▍| 1053/1121 [00:22<00:01, 42.41it/s]

→ 2000R (1121 images) Phase 1:  95%|█████████▍| 1060/1121 [00:22<00:01, 48.23it/s]

→ 2000R (1121 images) Phase 1:  95%|█████████▌| 1068/1121 [00:22<00:00, 54.56it/s]

→ 2000R (1121 images) Phase 1:  96%|█████████▌| 1076/1121 [00:22<00:00, 55.80it/s]

→ 2000R (1121 images) Phase 1:  97%|█████████▋| 1082/1121 [00:22<00:00, 43.81it/s]

→ 2000R (1121 images) Phase 1:  97%|█████████▋| 1090/1121 [00:23<00:00, 50.80it/s]

→ 2000R (1121 images) Phase 1:  98%|█████████▊| 1099/1121 [00:23<00:00, 58.78it/s]

→ 2000R (1121 images) Phase 1:  99%|█████████▉| 1110/1121 [00:23<00:00, 71.22it/s]

                                                                                  

→ 2000R Phase 2: corners:   0%|          | 0/1121 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/1121 [00:00<15:23,  1.21it/s]

→ 2000R Phase 2: corners:   1%|▏         | 15/1121 [00:00<00:52, 21.17it/s]

→ 2000R Phase 2: corners:   2%|▏         | 26/1121 [00:01<00:30, 36.24it/s]

→ 2000R Phase 2: corners:   3%|▎         | 36/1121 [00:01<00:22, 48.20it/s]

→ 2000R Phase 2: corners:   4%|▍         | 50/1121 [00:01<00:15, 67.52it/s]

→ 2000R Phase 2: corners:   6%|▌         | 64/1121 [00:01<00:12, 81.41it/s]

→ 2000R Phase 2: corners:   7%|▋         | 78/1121 [00:01<00:10, 94.91it/s]

→ 2000R Phase 2: corners:   8%|▊         | 90/1121 [00:01<00:10, 100.95it/s]

→ 2000R Phase 2: corners:   9%|▉         | 104/1121 [00:01<00:09, 110.05it/s]

→ 2000R Phase 2: corners:  11%|█         | 119/1121 [00:01<00:08, 117.35it/s]

→ 2000R Phase 2: corners:  12%|█▏        | 135/1121 [00:01<00:07, 128.46it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 151/1121 [00:01<00:07, 135.25it/s]

→ 2000R Phase 2: corners:  15%|█▍        | 166/1121 [00:02<00:07, 131.34it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 185/1121 [00:02<00:06, 145.99it/s]

→ 2000R Phase 2: corners:  18%|█▊        | 200/1121 [00:02<00:06, 142.19it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 216/1121 [00:02<00:06, 144.31it/s]

→ 2000R Phase 2: corners:  21%|██        | 231/1121 [00:02<00:06, 143.31it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 246/1121 [00:02<00:06, 143.16it/s]

→ 2000R Phase 2: corners:  23%|██▎       | 261/1121 [00:02<00:06, 143.28it/s]

→ 2000R Phase 2: corners:  25%|██▍       | 276/1121 [00:02<00:05, 141.74it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 291/1121 [00:02<00:06, 133.10it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 307/1121 [00:03<00:05, 139.14it/s]

→ 2000R Phase 2: corners:  29%|██▉       | 326/1121 [00:03<00:05, 149.83it/s]

→ 2000R Phase 2: corners:  31%|███       | 343/1121 [00:03<00:05, 154.25it/s]

→ 2000R Phase 2: corners:  32%|███▏      | 363/1121 [00:03<00:04, 166.37it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 384/1121 [00:03<00:04, 177.00it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 402/1121 [00:03<00:05, 130.56it/s]

→ 2000R Phase 2: corners:  38%|███▊      | 424/1121 [00:03<00:04, 150.90it/s]

→ 2000R Phase 2: corners:  39%|███▉      | 441/1121 [00:03<00:04, 146.03it/s]

→ 2000R Phase 2: corners:  41%|████      | 461/1121 [00:04<00:04, 159.34it/s]

→ 2000R Phase 2: corners:  43%|████▎     | 480/1121 [00:04<00:03, 166.22it/s]

→ 2000R Phase 2: corners:  44%|████▍     | 498/1121 [00:04<00:03, 165.67it/s]

→ 2000R Phase 2: corners:  46%|████▌     | 516/1121 [00:04<00:03, 160.83it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 533/1121 [00:04<00:04, 145.85it/s]

→ 2000R Phase 2: corners:  49%|████▉     | 550/1121 [00:04<00:03, 151.73it/s]

→ 2000R Phase 2: corners:  50%|█████     | 566/1121 [00:04<00:03, 148.08it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 585/1121 [00:04<00:03, 158.91it/s]

→ 2000R Phase 2: corners:  54%|█████▍    | 603/1121 [00:04<00:03, 161.74it/s]

→ 2000R Phase 2: corners:  55%|█████▌    | 622/1121 [00:05<00:02, 169.05it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 642/1121 [00:05<00:02, 175.70it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 660/1121 [00:05<00:02, 176.12it/s]

→ 2000R Phase 2: corners:  61%|██████    | 683/1121 [00:05<00:02, 187.71it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 702/1121 [00:05<00:02, 185.51it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 721/1121 [00:05<00:02, 174.43it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 741/1121 [00:05<00:02, 177.73it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 759/1121 [00:05<00:02, 175.47it/s]

→ 2000R Phase 2: corners:  69%|██████▉   | 778/1121 [00:05<00:01, 179.47it/s]

→ 2000R Phase 2: corners:  71%|███████   | 797/1121 [00:06<00:01, 177.51it/s]

→ 2000R Phase 2: corners:  73%|███████▎  | 815/1121 [00:06<00:01, 174.88it/s]

→ 2000R Phase 2: corners:  75%|███████▍  | 837/1121 [00:06<00:01, 183.41it/s]

→ 2000R Phase 2: corners:  76%|███████▋  | 856/1121 [00:06<00:01, 183.11it/s]

→ 2000R Phase 2: corners:  78%|███████▊  | 875/1121 [00:06<00:01, 181.03it/s]

→ 2000R Phase 2: corners:  80%|███████▉  | 894/1121 [00:06<00:01, 175.28it/s]

→ 2000R Phase 2: corners:  81%|████████▏ | 912/1121 [00:06<00:01, 170.93it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 930/1121 [00:06<00:01, 166.16it/s]

→ 2000R Phase 2: corners:  84%|████████▍ | 947/1121 [00:06<00:01, 166.17it/s]

→ 2000R Phase 2: corners:  86%|████████▌ | 964/1121 [00:07<00:00, 160.75it/s]

→ 2000R Phase 2: corners:  88%|████████▊ | 983/1121 [00:07<00:00, 166.70it/s]

→ 2000R Phase 2: corners:  89%|████████▉ | 1002/1121 [00:07<00:00, 168.89it/s]

→ 2000R Phase 2: corners:  91%|█████████▏| 1024/1121 [00:07<00:00, 183.19it/s]

→ 2000R Phase 2: corners:  93%|█████████▎| 1043/1121 [00:07<00:00, 180.24it/s]

→ 2000R Phase 2: corners:  95%|█████████▍| 1062/1121 [00:07<00:00, 180.01it/s]

→ 2000R Phase 2: corners:  97%|█████████▋| 1084/1121 [00:07<00:00, 191.01it/s]

→ 2000R Phase 2: corners:  98%|█████████▊| 1104/1121 [00:07<00:00, 192.01it/s]

                                                                              [PASS2] Frame 0001044: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001045: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001046: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001055: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001958: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001959: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001960: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001961: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001964: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001965: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001966: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001967: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0002663: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0002664: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0002665: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0002666: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001960: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001966: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0002665: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 7 frames fixed, 9 untrusted, 1121 total


→ 2000R Phase 3: finalize:   0%|          | 0/1121 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   1%|          | 6/1121 [00:00<00:21, 51.75it/s]

→ 2000R Phase 3: finalize:   1%|          | 12/1121 [00:00<00:21, 51.77it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 18/1121 [00:00<00:21, 52.38it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 24/1121 [00:00<00:20, 52.82it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 30/1121 [00:00<00:20, 53.18it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 36/1121 [00:00<00:20, 53.24it/s]

→ 2000R Phase 3: finalize:   4%|▎         | 42/1121 [00:00<00:20, 53.17it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 48/1121 [00:00<00:20, 53.19it/s]

→ 2000R Phase 3: finalize:   5%|▍         | 54/1121 [00:01<00:20, 53.11it/s]

→ 2000R Phase 3: finalize:   5%|▌         | 60/1121 [00:01<00:19, 53.18it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 66/1121 [00:01<00:19, 53.07it/s]

→ 2000R Phase 3: finalize:   6%|▋         | 72/1121 [00:01<00:19, 53.06it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 78/1121 [00:01<00:19, 53.03it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 84/1121 [00:01<00:19, 52.99it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 90/1121 [00:01<00:19, 52.94it/s]

→ 2000R Phase 3: finalize:   9%|▊         | 96/1121 [00:01<00:19, 52.84it/s]

→ 2000R Phase 3: finalize:   9%|▉         | 102/1121 [00:02<00:27, 37.27it/s]

→ 2000R Phase 3: finalize:  10%|▉         | 108/1121 [00:02<00:24, 40.73it/s]

→ 2000R Phase 3: finalize:  10%|█         | 114/1121 [00:02<00:23, 43.63it/s]

→ 2000R Phase 3: finalize:  11%|█         | 120/1121 [00:02<00:21, 45.79it/s]

→ 2000R Phase 3: finalize:  11%|█         | 126/1121 [00:02<00:20, 47.41it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 132/1121 [00:02<00:20, 48.40it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 138/1121 [00:02<00:19, 49.20it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 144/1121 [00:02<00:19, 50.01it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 150/1121 [00:03<00:19, 50.42it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 156/1121 [00:03<00:18, 50.90it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 162/1121 [00:03<00:18, 51.14it/s]

→ 2000R Phase 3: finalize:  15%|█▍        | 168/1121 [00:03<00:18, 51.44it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 174/1121 [00:03<00:18, 52.23it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 180/1121 [00:03<00:17, 52.86it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 186/1121 [00:03<00:17, 53.39it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 192/1121 [00:03<00:17, 53.81it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 198/1121 [00:03<00:17, 54.10it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 204/1121 [00:04<00:16, 54.11it/s]

→ 2000R Phase 3: finalize:  19%|█▊        | 210/1121 [00:04<00:16, 54.37it/s]

→ 2000R Phase 3: finalize:  19%|█▉        | 216/1121 [00:04<00:16, 54.50it/s]

→ 2000R Phase 3: finalize:  20%|█▉        | 222/1121 [00:04<00:16, 54.66it/s]

→ 2000R Phase 3: finalize:  20%|██        | 228/1121 [00:04<00:16, 54.70it/s]

→ 2000R Phase 3: finalize:  21%|██        | 234/1121 [00:04<00:16, 54.62it/s]

→ 2000R Phase 3: finalize:  21%|██▏       | 240/1121 [00:04<00:16, 54.72it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 246/1121 [00:04<00:16, 54.66it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 252/1121 [00:04<00:15, 54.80it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 258/1121 [00:05<00:15, 54.90it/s]

→ 2000R Phase 3: finalize:  24%|██▎       | 264/1121 [00:05<00:15, 55.02it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 270/1121 [00:05<00:15, 55.05it/s]

→ 2000R Phase 3: finalize:  25%|██▍       | 276/1121 [00:05<00:15, 55.16it/s]

→ 2000R Phase 3: finalize:  25%|██▌       | 282/1121 [00:05<00:15, 55.17it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 288/1121 [00:05<00:15, 55.16it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 294/1121 [00:05<00:14, 55.17it/s]

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→ 2000R Phase 3: finalize:  28%|██▊       | 318/1121 [00:06<00:14, 54.57it/s]

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→ 2000R Phase 3: finalize:  31%|███       | 342/1121 [00:06<00:14, 54.37it/s]

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→ 2000R Phase 3: finalize:  32%|███▏      | 354/1121 [00:06<00:14, 54.54it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 360/1121 [00:06<00:13, 54.58it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 366/1121 [00:06<00:13, 54.42it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 372/1121 [00:07<00:13, 54.35it/s]

→ 2000R Phase 3: finalize:  34%|███▎      | 378/1121 [00:07<00:13, 54.42it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 384/1121 [00:07<00:13, 54.52it/s]

→ 2000R Phase 3: finalize:  35%|███▍      | 390/1121 [00:07<00:13, 54.78it/s]

→ 2000R Phase 3: finalize:  35%|███▌      | 396/1121 [00:07<00:13, 54.73it/s]

→ 2000R Phase 3: finalize:  36%|███▌      | 402/1121 [00:07<00:13, 54.92it/s]

→ 2000R Phase 3: finalize:  36%|███▋      | 408/1121 [00:07<00:12, 55.15it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 414/1121 [00:07<00:12, 55.27it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 420/1121 [00:07<00:12, 55.52it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 426/1121 [00:08<00:12, 55.82it/s]

→ 2000R Phase 3: finalize:  39%|███▊      | 432/1121 [00:08<00:12, 55.97it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 438/1121 [00:08<00:12, 56.25it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 444/1121 [00:08<00:11, 56.44it/s]

→ 2000R Phase 3: finalize:  40%|████      | 450/1121 [00:08<00:11, 56.64it/s]

→ 2000R Phase 3: finalize:  41%|████      | 456/1121 [00:08<00:11, 56.74it/s]

→ 2000R Phase 3: finalize:  41%|████      | 462/1121 [00:08<00:11, 57.02it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 468/1121 [00:08<00:11, 57.15it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 474/1121 [00:08<00:11, 57.26it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 480/1121 [00:09<00:11, 57.46it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 486/1121 [00:09<00:11, 57.53it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 492/1121 [00:09<00:10, 57.73it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 498/1121 [00:09<00:10, 57.76it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 504/1121 [00:09<00:10, 57.80it/s]

→ 2000R Phase 3: finalize:  45%|████▌     | 510/1121 [00:09<00:10, 57.79it/s]

→ 2000R Phase 3: finalize:  46%|████▌     | 516/1121 [00:09<00:10, 57.89it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 522/1121 [00:09<00:10, 57.81it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 528/1121 [00:09<00:10, 57.83it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 534/1121 [00:09<00:10, 57.92it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 540/1121 [00:10<00:10, 57.97it/s]

→ 2000R Phase 3: finalize:  49%|████▊     | 546/1121 [00:10<00:10, 57.07it/s]

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→ 2000R Phase 3: finalize:  55%|█████▍    | 612/1121 [00:11<00:08, 58.19it/s]

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→ 2000R Phase 3: finalize:  65%|██████▍   | 726/1121 [00:13<00:07, 51.57it/s]

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→ 2000R Phase 3: finalize:  73%|███████▎  | 819/1121 [00:15<00:06, 46.34it/s]

→ 2000R Phase 3: finalize:  74%|███████▎  | 824/1121 [00:15<00:06, 46.32it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 829/1121 [00:15<00:06, 46.25it/s]

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→ 2000R Phase 3: finalize:  75%|███████▌  | 844/1121 [00:15<00:06, 45.91it/s]

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→ 2000R Phase 3: finalize:  77%|███████▋  | 864/1121 [00:16<00:05, 45.22it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 869/1121 [00:16<00:05, 45.15it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 874/1121 [00:16<00:05, 45.03it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 879/1121 [00:16<00:05, 44.89it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 884/1121 [00:16<00:05, 44.80it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 889/1121 [00:16<00:05, 44.71it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 894/1121 [00:16<00:05, 44.63it/s]

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→ 2000R Phase 3: finalize:  81%|████████  | 904/1121 [00:17<00:04, 44.54it/s]

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→ 2000R Phase 3: finalize:  82%|████████▏ | 914/1121 [00:17<00:04, 44.72it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 919/1121 [00:17<00:04, 44.63it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 924/1121 [00:17<00:04, 44.73it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 929/1121 [00:17<00:04, 44.80it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 934/1121 [00:17<00:04, 44.63it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 939/1121 [00:17<00:04, 44.72it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 944/1121 [00:18<00:03, 44.62it/s]

→ 2000R Phase 3: finalize:  85%|████████▍ | 949/1121 [00:18<00:03, 44.69it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 954/1121 [00:18<00:03, 44.75it/s]

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→ 2000R Phase 3: finalize:  86%|████████▌ | 964/1121 [00:18<00:03, 44.95it/s]

→ 2000R Phase 3: finalize:  86%|████████▋ | 969/1121 [00:18<00:03, 45.12it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 974/1121 [00:18<00:03, 45.43it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 979/1121 [00:18<00:03, 45.56it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 984/1121 [00:18<00:03, 45.61it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 989/1121 [00:19<00:02, 45.70it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 994/1121 [00:19<00:02, 45.78it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 999/1121 [00:19<00:02, 45.82it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 1004/1121 [00:19<00:02, 45.93it/s]

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→ 2000R Phase 3: finalize:  90%|█████████ | 1014/1121 [00:19<00:02, 46.09it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 1019/1121 [00:19<00:02, 46.04it/s]

→ 2000R Phase 3: finalize:  91%|█████████▏| 1024/1121 [00:19<00:02, 46.01it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 1029/1121 [00:19<00:02, 45.96it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 1034/1121 [00:20<00:01, 45.69it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 1039/1121 [00:20<00:01, 45.57it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 1044/1121 [00:20<00:01, 45.58it/s]

→ 2000R Phase 3: finalize:  94%|█████████▎| 1049/1121 [00:20<00:01, 45.48it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 1054/1121 [00:20<00:01, 45.46it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 1059/1121 [00:20<00:01, 45.36it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 1064/1121 [00:20<00:01, 45.31it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 1069/1121 [00:20<00:01, 45.30it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 1074/1121 [00:20<00:01, 45.36it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 1079/1121 [00:20<00:00, 45.34it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 1084/1121 [00:21<00:00, 45.41it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 1089/1121 [00:21<00:00, 45.56it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 1094/1121 [00:21<00:00, 45.68it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 1099/1121 [00:21<00:00, 45.97it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 1104/1121 [00:21<00:00, 46.38it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 1109/1121 [00:21<00:00, 46.31it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 1114/1121 [00:21<00:00, 46.28it/s]

→ 2000R Phase 3: finalize: 100%|█████████▉| 1119/1121 [00:21<00:00, 46.34it/s]

                                                                              
[TIMING] 2000R — 1121 frames
  Phase 1  radial detect   (parallel)  :  23.49s  (21.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   7.95s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.91s
  Phase 3  finalize        (sequential):  21.90s  (19.5 ms/frame)
    decode + undistort                 :  11.70s  (10.4 ms/frame)
    corner apply + refinement          :   4.80s  (4.3 ms/frame)
    segment                            :   4.42s  (3.9 ms/frame)
    smooth                             :   0.61s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  54.25s


Processing Rigs:  75%|███████▌  | 3/4 [02:12<00:49, 49.45s/it][INFO] Filtered 492 stationary frames, 592 remain


→ 1500 (592 images) Phase 1:   0%|          | 0/592 [00:00<?, ?it/s]

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→ 1500 (592 images) Phase 1:  40%|███▉      | 235/592 [00:04<00:05, 63.02it/s]

→ 1500 (592 images) Phase 1:  43%|████▎     | 254/592 [00:04<00:04, 81.91it/s]

→ 1500 (592 images) Phase 1:  45%|████▌     | 267/592 [00:04<00:05, 63.30it/s]

→ 1500 (592 images) Phase 1:  48%|████▊     | 286/592 [00:04<00:03, 81.89it/s]

→ 1500 (592 images) Phase 1:  51%|█████     | 299/592 [00:05<00:04, 63.77it/s]

→ 1500 (592 images) Phase 1:  54%|█████▎    | 318/592 [00:05<00:03, 81.91it/s]

→ 1500 (592 images) Phase 1:  56%|█████▌    | 331/592 [00:05<00:04, 63.48it/s]

→ 1500 (592 images) Phase 1:  59%|█████▉    | 350/592 [00:05<00:02, 81.93it/s]

→ 1500 (592 images) Phase 1:  61%|██████▏   | 363/592 [00:06<00:03, 64.08it/s]

→ 1500 (592 images) Phase 1:  64%|██████▍   | 380/592 [00:06<00:02, 79.50it/s]

→ 1500 (592 images) Phase 1:  66%|██████▌   | 392/592 [00:06<00:03, 61.41it/s]

→ 1500 (592 images) Phase 1:  69%|██████▉   | 411/592 [00:06<00:02, 80.34it/s]

→ 1500 (592 images) Phase 1:  71%|███████▏  | 423/592 [00:07<00:03, 55.59it/s]

→ 1500 (592 images) Phase 1:  74%|███████▎  | 436/592 [00:07<00:02, 65.90it/s]

→ 1500 (592 images) Phase 1:  76%|███████▌  | 448/592 [00:07<00:02, 62.41it/s]

→ 1500 (592 images) Phase 1:  77%|███████▋  | 457/592 [00:07<00:02, 57.75it/s]

→ 1500 (592 images) Phase 1:  81%|████████  | 477/592 [00:07<00:01, 81.53it/s]

→ 1500 (592 images) Phase 1:  83%|████████▎ | 489/592 [00:08<00:01, 60.76it/s]

→ 1500 (592 images) Phase 1:  85%|████████▌ | 506/592 [00:08<00:01, 78.06it/s]

→ 1500 (592 images) Phase 1:  88%|████████▊ | 518/592 [00:08<00:01, 60.81it/s]

→ 1500 (592 images) Phase 1:  90%|█████████ | 533/592 [00:08<00:00, 74.33it/s]

→ 1500 (592 images) Phase 1:  92%|█████████▏| 544/592 [00:08<00:00, 71.51it/s]

→ 1500 (592 images) Phase 1:  94%|█████████▎| 554/592 [00:08<00:00, 63.88it/s]

→ 1500 (592 images) Phase 1:  97%|█████████▋| 576/592 [00:09<00:00, 83.13it/s]

→ 1500 (592 images) Phase 1:  99%|█████████▉| 586/592 [00:09<00:00, 75.40it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/592 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/592 [00:00<08:30,  1.16it/s]

→ 1500 Phase 2: corners:   3%|▎         | 19/592 [00:00<00:21, 26.09it/s]

→ 1500 Phase 2: corners:   5%|▌         | 31/592 [00:01<00:13, 41.54it/s]

→ 1500 Phase 2: corners:   7%|▋         | 44/592 [00:01<00:09, 58.07it/s]

→ 1500 Phase 2: corners:  10%|▉         | 58/592 [00:01<00:07, 74.89it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 71/592 [00:01<00:06, 82.66it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 85/592 [00:01<00:05, 94.38it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 102/592 [00:01<00:04, 111.03it/s]

→ 1500 Phase 2: corners:  20%|█▉        | 116/592 [00:01<00:04, 113.01it/s]

→ 1500 Phase 2: corners:  22%|██▏       | 130/592 [00:01<00:03, 118.32it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 143/592 [00:01<00:03, 115.53it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 159/592 [00:02<00:03, 126.70it/s]

→ 1500 Phase 2: corners:  29%|██▉       | 173/592 [00:02<00:03, 126.69it/s]

→ 1500 Phase 2: corners:  32%|███▏      | 189/592 [00:02<00:03, 133.29it/s]

→ 1500 Phase 2: corners:  34%|███▍      | 204/592 [00:02<00:02, 136.24it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 218/592 [00:02<00:02, 136.54it/s]

→ 1500 Phase 2: corners:  40%|███▉      | 235/592 [00:02<00:02, 144.15it/s]

→ 1500 Phase 2: corners:  42%|████▏     | 250/592 [00:02<00:02, 145.40it/s]

→ 1500 Phase 2: corners:  46%|████▌     | 270/592 [00:02<00:02, 159.25it/s]

→ 1500 Phase 2: corners:  49%|████▉     | 289/592 [00:02<00:01, 167.82it/s]

→ 1500 Phase 2: corners:  52%|█████▏    | 308/592 [00:03<00:01, 171.87it/s]

→ 1500 Phase 2: corners:  55%|█████▌    | 327/592 [00:03<00:01, 176.74it/s]

→ 1500 Phase 2: corners:  58%|█████▊    | 345/592 [00:03<00:01, 171.51it/s]

→ 1500 Phase 2: corners:  61%|██████▏   | 364/592 [00:03<00:01, 175.17it/s]

→ 1500 Phase 2: corners:  65%|██████▍   | 382/592 [00:03<00:01, 172.93it/s]

→ 1500 Phase 2: corners:  68%|██████▊   | 403/592 [00:03<00:01, 181.59it/s]

→ 1500 Phase 2: corners:  71%|███████▏  | 423/592 [00:03<00:00, 183.88it/s]

→ 1500 Phase 2: corners:  75%|███████▍  | 443/592 [00:03<00:00, 183.69it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 462/592 [00:03<00:00, 176.51it/s]

→ 1500 Phase 2: corners:  81%|████████▏ | 482/592 [00:03<00:00, 180.50it/s]

→ 1500 Phase 2: corners:  85%|████████▍ | 501/592 [00:04<00:00, 135.59it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 522/592 [00:04<00:00, 150.12it/s]

→ 1500 Phase 2: corners:  91%|█████████▏| 541/592 [00:04<00:00, 158.77it/s]

→ 1500 Phase 2: corners:  95%|█████████▍| 561/592 [00:04<00:00, 167.31it/s]

→ 1500 Phase 2: corners:  98%|█████████▊| 579/592 [00:04<00:00, 167.61it/s]

                                                                           [PASS2] Frame 0000417: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000418: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000419: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000420: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000510: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000511: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000512: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000513: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000519: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000520: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000521: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000524: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000525: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000527: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000528: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000529: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000530: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001302: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001303: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001304: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001305: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001309: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001310: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001311: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001312: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001328: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001329: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001330: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000419: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000512: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000522: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000523: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000524: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000529: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001328: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001329: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001330: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000522: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000523: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001328: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001329: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001330: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Summary: 14 frames fixed, 19 untrusted, 592 total


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→ 1500 Phase 3: finalize: 100%|██████████| 592/592 [00:10<00:00, 56.31it/s]

                                                                           
[TIMING] 1500 — 592 frames
  Phase 1  radial detect   (parallel)  :   9.56s  (16.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.82s  (8.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.91s
  Phase 3  finalize        (sequential):  10.46s  (17.7 ms/frame)
    decode + undistort                 :   5.33s  (9.0 ms/frame)
    corner apply + refinement          :   2.30s  (3.9 ms/frame)
    segment                            :   2.31s  (3.9 ms/frame)
    smooth                             :   0.32s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  25.74s


Processing Rigs: 100%|██████████| 4/4 [02:44<00:00, 42.47s/it]
Processing Rigs: 100%|██████████| 4/4 [02:44<00:00, 41.11s/it]
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2025-08-06/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 2927 frames from 4 rigs to /working/MDC053_W024(6)_2025-08-06/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2025-08-06/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1000: 100 frames selected from 353
[📋] 2000L: 100 frames selected from 861
[📋] 2000R: 100 frames selected from 1121
[📋] 1500: 100 frames selected from 592
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2025-08-06/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC053_W024(6)_2025-08-06/calibration/debug/1_digitized/rig_frames.json

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

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

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Computing max image from bright frames:  79%|███████▉  | 63/80 [03:21<00:54,  3.19s/it]
Computing max image from bright frames:  80%|████████  | 64/80 [03:25<00:51,  3.21s/it]
Computing max image from bright frames:  81%|████████▏ | 65/80 [03:28<00:47,  3.20s/it]
Computing max image from bright frames:  82%|████████▎ | 66/80 [03:31<00:44,  3.19s/it]
Computing max image from bright frames:  84%|████████▍ | 67/80 [03:34<00:41,  3.18s/it]
Computing max image from bright frames:  85%|████████▌ | 68/80 [03:37<00:37,  3.16s/it]
Computing max image from bright frames:  86%|████████▋ | 69/80 [03:40<00:34,  3.17s/it]
Computing max image from bright frames:  88%|████████▊ | 70/80 [03:44<00:31,  3.15s/it]
Computing max image from bright frames:  89%|████████▉ | 71/80 [03:47<00:28,  3.17s/it]
Computing max image from bright frames:  90%|█████████ | 72/80 [03:50<00:25,  3.17s/it]
Computing max image from bright frames:  91%|█████████▏| 73/80 [03:53<00:22,  3.18s/it]
Computing max image from bright frames:  92%|█████████▎| 74/80 [03:56<00:19,  3.18s/it]
Computing max image from bright frames:  94%|█████████▍| 75/80 [03:59<00:15,  3.18s/it]
Computing max image from bright frames:  95%|█████████▌| 76/80 [04:03<00:12,  3.19s/it]
Computing max image from bright frames:  96%|█████████▋| 77/80 [04:06<00:09,  3.18s/it]
Computing max image from bright frames:  98%|█████████▊| 78/80 [04:09<00:06,  3.17s/it]
Computing max image from bright frames:  99%|█████████▉| 79/80 [04:12<00:03,  3.17s/it]
Computing max image from bright frames: 100%|██████████| 80/80 [04:15<00:00,  3.16s/it]
                                                                                       
[✅] Casing detection complete: cx=1035.0, cy=764.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:32,  3.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 307.071} (0.000):   1%|          | 1/100 [00:00<00:32,  3.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:32,  3.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:31,  3.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:08, 10.69it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:08, 10.69it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:08, 10.69it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:08, 10.69it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   7%|▋         | 7/100 [00:00<00:05, 15.62it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:05, 15.62it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 15.62it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:05, 15.62it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.001 | Best: {'fx': 363.636} (0.001):  10%|█         | 10/100 [00:00<00:04, 19.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:04, 19.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  11%|█         | 11/100 [00:00<00:04, 19.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 19.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  13%|█▎        | 13/100 [00:00<00:04, 20.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 20.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:04, 20.04it/s] 
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  15%|█▌        | 15/100 [00:00<00:04, 20.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  16%|█▌        | 16/100 [00:00<00:03, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:01<00:03, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:01<00:03, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  19%|█▉        | 19/100 [00:01<00:03, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  19%|█▉        | 19/100 [00:01<00:03, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.007 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:01<00:03, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.011 | Best: {'fx': 455.556} (0.011):  21%|██        | 21/100 [00:01<00:03, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.011 | Best: {'fx': 455.556} (0.011):  22%|██▏       | 22/100 [00:01<00:03, 21.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.010 | Best: {'fx': 455.556} (0.011):  22%|██▏       | 22/100 [00:01<00:03, 21.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  23%|██▎       | 23/100 [00:01<00:03, 21.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.014 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:03, 21.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.014 | Best: {'fx': 469.697} (0.016):  25%|██▌       | 25/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  25%|██▌       | 25/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.028 | Best: {'fx': 490.909} (0.028):  27%|██▋       | 27/100 [00:01<00:03, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.028 | Best: {'fx': 490.909} (0.028):  28%|██▊       | 28/100 [00:01<00:03, 23.36it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.035 | Best: {'fx': 497.98} (0.035):  28%|██▊       | 28/100 [00:01<00:03, 23.36it/s] 
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.042 | Best: {'fx': 505.051} (0.042):  29%|██▉       | 29/100 [00:01<00:03, 23.36it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.051 | Best: {'fx': 512.121} (0.051):  30%|███       | 30/100 [00:01<00:02, 23.36it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.051 | Best: {'fx': 512.121} (0.051):  31%|███       | 31/100 [00:01<00:02, 23.83it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.065 | Best: {'fx': 519.192} (0.065):  31%|███       | 31/100 [00:01<00:02, 23.83it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  32%|███▏      | 32/100 [00:01<00:02, 23.83it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.083 | Best: {'fx': 533.333} (0.083):  33%|███▎      | 33/100 [00:01<00:02, 23.83it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.083 | Best: {'fx': 533.333} (0.083):  34%|███▍      | 34/100 [00:01<00:04, 14.71it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.075 | Best: {'fx': 533.333} (0.083):  34%|███▍      | 34/100 [00:02<00:04, 14.71it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.060 | Best: {'fx': 533.333} (0.083):  35%|███▌      | 35/100 [00:02<00:04, 14.71it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.060 | Best: {'fx': 533.333} (0.083):  36%|███▌      | 36/100 [00:02<00:04, 14.59it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.067 | Best: {'fx': 533.333} (0.083):  36%|███▌      | 36/100 [00:02<00:04, 14.59it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.051 | Best: {'fx': 533.333} (0.083):  37%|███▋      | 37/100 [00:02<00:04, 14.59it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.047 | Best: {'fx': 533.333} (0.083):  38%|███▊      | 38/100 [00:02<00:04, 14.59it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.043 | Best: {'fx': 533.333} (0.083):  39%|███▉      | 39/100 [00:02<00:04, 14.59it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.043 | Best: {'fx': 533.333} (0.083):  40%|████      | 40/100 [00:02<00:03, 18.99it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.039 | Best: {'fx': 533.333} (0.083):  40%|████      | 40/100 [00:02<00:03, 18.99it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.035 | Best: {'fx': 533.333} (0.083):  41%|████      | 41/100 [00:02<00:03, 18.99it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.034 | Best: {'fx': 533.333} (0.083):  42%|████▏     | 42/100 [00:02<00:03, 18.99it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.034 | Best: {'fx': 533.333} (0.083):  43%|████▎     | 43/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.030 | Best: {'fx': 533.333} (0.083):  43%|████▎     | 43/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.031 | Best: {'fx': 533.333} (0.083):  44%|████▍     | 44/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.037 | Best: {'fx': 533.333} (0.083):  45%|████▌     | 45/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.029 | Best: {'fx': 533.333} (0.083):  46%|████▌     | 46/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.032 | Best: {'fx': 533.333} (0.083):  47%|████▋     | 47/100 [00:02<00:03, 16.44it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.032 | Best: {'fx': 533.333} (0.083):  48%|████▊     | 48/100 [00:02<00:02, 20.98it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.028 | Best: {'fx': 533.333} (0.083):  48%|████▊     | 48/100 [00:02<00:02, 20.98it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.027 | Best: {'fx': 533.333} (0.083):  49%|████▉     | 49/100 [00:02<00:02, 20.98it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.025 | Best: {'fx': 533.333} (0.083):  50%|█████     | 50/100 [00:02<00:02, 20.98it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.025 | Best: {'fx': 533.333} (0.083):  51%|█████     | 51/100 [00:02<00:02, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.027 | Best: {'fx': 533.333} (0.083):  51%|█████     | 51/100 [00:02<00:02, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.026 | Best: {'fx': 533.333} (0.083):  52%|█████▏    | 52/100 [00:02<00:02, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.025 | Best: {'fx': 533.333} (0.083):  53%|█████▎    | 53/100 [00:02<00:02, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.024 | Best: {'fx': 533.333} (0.083):  54%|█████▍    | 54/100 [00:02<00:02, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.024 | Best: {'fx': 533.333} (0.083):  55%|█████▌    | 55/100 [00:02<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.024 | Best: {'fx': 533.333} (0.083):  55%|█████▌    | 55/100 [00:02<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.023 | Best: {'fx': 533.333} (0.083):  56%|█████▌    | 56/100 [00:02<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  57%|█████▋    | 57/100 [00:02<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.023 | Best: {'fx': 533.333} (0.083):  58%|█████▊    | 58/100 [00:02<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  59%|█████▉    | 59/100 [00:03<00:01, 22.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  60%|██████    | 60/100 [00:03<00:01, 25.75it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.024 | Best: {'fx': 533.333} (0.083):  60%|██████    | 60/100 [00:03<00:01, 25.75it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  61%|██████    | 61/100 [00:03<00:01, 25.75it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  62%|██████▏   | 62/100 [00:03<00:01, 25.75it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  63%|██████▎   | 63/100 [00:03<00:01, 25.75it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  64%|██████▍   | 64/100 [00:03<00:01, 28.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  64%|██████▍   | 64/100 [00:03<00:01, 28.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  65%|██████▌   | 65/100 [00:03<00:01, 28.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  66%|██████▌   | 66/100 [00:03<00:01, 28.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  67%|██████▋   | 67/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.021 | Best: {'fx': 533.333} (0.083):  67%|██████▋   | 67/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.022 | Best: {'fx': 533.333} (0.083):  68%|██████▊   | 68/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  69%|██████▉   | 69/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  70%|███████   | 70/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  71%|███████   | 71/100 [00:03<00:01, 28.12it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  72%|███████▏  | 72/100 [00:03<00:00, 33.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  72%|███████▏  | 72/100 [00:03<00:00, 33.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  73%|███████▎  | 73/100 [00:03<00:00, 33.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  74%|███████▍  | 74/100 [00:03<00:00, 33.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  75%|███████▌  | 75/100 [00:03<00:00, 33.02it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.020 | Best: {'fx': 533.333} (0.083):  76%|███████▌  | 76/100 [00:03<00:00, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  76%|███████▌  | 76/100 [00:03<00:00, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  77%|███████▋  | 77/100 [00:03<00:00, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  78%|███████▊  | 78/100 [00:03<00:00, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  79%|███████▉  | 79/100 [00:03<00:00, 31.56it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  80%|████████  | 80/100 [00:03<00:00, 29.05it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  80%|████████  | 80/100 [00:03<00:00, 29.05it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  81%|████████  | 81/100 [00:03<00:00, 29.05it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  82%|████████▏ | 82/100 [00:03<00:00, 29.05it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  83%|████████▎ | 83/100 [00:03<00:00, 29.05it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  84%|████████▍ | 84/100 [00:03<00:00, 28.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  84%|████████▍ | 84/100 [00:03<00:00, 28.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  85%|████████▌ | 85/100 [00:03<00:00, 28.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  86%|████████▌ | 86/100 [00:03<00:00, 28.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  87%|████████▋ | 87/100 [00:03<00:00, 28.70it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.019 | Best: {'fx': 533.333} (0.083):  88%|████████▊ | 88/100 [00:03<00:00, 31.19it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  88%|████████▊ | 88/100 [00:04<00:00, 31.19it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  89%|████████▉ | 89/100 [00:04<00:00, 31.19it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  90%|█████████ | 90/100 [00:04<00:00, 31.19it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  91%|█████████ | 91/100 [00:04<00:00, 31.19it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  92%|█████████▏| 92/100 [00:04<00:00, 23.18it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  92%|█████████▏| 92/100 [00:04<00:00, 23.18it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  93%|█████████▎| 93/100 [00:04<00:00, 23.18it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  94%|█████████▍| 94/100 [00:04<00:00, 23.18it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  95%|█████████▌| 95/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  95%|█████████▌| 95/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  96%|█████████▌| 96/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  97%|█████████▋| 97/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  98%|█████████▊| 98/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083):  99%|█████████▉| 99/100 [00:04<00:00, 22.23it/s]
Brute | Start: {'fx': 500.0} (0.037) | Current: 0.018 | Best: {'fx': 533.333} (0.083): 100%|██████████| 100/100 [00:04<00:00, 24.23it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.045 | Best: {'fx': 508.333} (0.045):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.045 | Best: {'fx': 508.333} (0.045):   2%|▏         | 1/50 [00:00<00:28,  1.70it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.047 | Best: {'fx': 509.354} (0.047):   2%|▏         | 1/50 [00:00<00:28,  1.70it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.049 | Best: {'fx': 510.374} (0.049):   4%|▍         | 2/50 [00:00<00:28,  1.70it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.051 | Best: {'fx': 511.395} (0.051):   6%|▌         | 3/50 [00:00<00:27,  1.70it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.051 | Best: {'fx': 511.395} (0.051):   8%|▊         | 4/50 [00:00<00:06,  6.72it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.052 | Best: {'fx': 512.415} (0.052):   8%|▊         | 4/50 [00:00<00:06,  6.72it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.055 | Best: {'fx': 514.456} (0.055):  10%|█         | 5/50 [00:00<00:06,  6.72it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.055 | Best: {'fx': 514.456} (0.055):  12%|█▏        | 6/50 [00:00<00:04,  8.84it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.054 | Best: {'fx': 514.456} (0.055):  12%|█▏        | 6/50 [00:00<00:04,  8.84it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.059 | Best: {'fx': 516.497} (0.059):  14%|█▍        | 7/50 [00:00<00:04,  8.84it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.061 | Best: {'fx': 517.517} (0.061):  16%|█▌        | 8/50 [00:01<00:04,  8.84it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.061 | Best: {'fx': 517.517} (0.061):  18%|█▊        | 9/50 [00:01<00:03, 12.11it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.057 | Best: {'fx': 517.517} (0.061):  18%|█▊        | 9/50 [00:01<00:03, 12.11it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.063 | Best: {'fx': 518.537} (0.063):  20%|██        | 10/50 [00:01<00:03, 12.11it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.065 | Best: {'fx': 519.558} (0.065):  22%|██▏       | 11/50 [00:01<00:03, 12.11it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.067 | Best: {'fx': 520.578} (0.067):  24%|██▍       | 12/50 [00:01<00:03, 12.11it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.067 | Best: {'fx': 520.578} (0.067):  26%|██▌       | 13/50 [00:01<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.071 | Best: {'fx': 522.619} (0.071):  26%|██▌       | 13/50 [00:01<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.070 | Best: {'fx': 522.619} (0.071):  28%|██▊       | 14/50 [00:01<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.073 | Best: {'fx': 523.639} (0.073):  30%|███       | 15/50 [00:01<00:02, 15.06it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.074 | Best: {'fx': 524.66} (0.074):  32%|███▏      | 16/50 [00:01<00:02, 15.06it/s] 
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.074 | Best: {'fx': 524.66} (0.074):  34%|███▍      | 17/50 [00:01<00:01, 18.93it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.077 | Best: {'fx': 525.68} (0.077):  34%|███▍      | 17/50 [00:01<00:01, 18.93it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.078 | Best: {'fx': 526.701} (0.078):  36%|███▌      | 18/50 [00:01<00:01, 18.93it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.084 | Best: {'fx': 530.782} (0.084):  38%|███▊      | 19/50 [00:01<00:01, 18.93it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.084 | Best: {'fx': 530.782} (0.084):  40%|████      | 20/50 [00:01<00:01, 16.01it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.080 | Best: {'fx': 530.782} (0.084):  40%|████      | 20/50 [00:01<00:01, 16.01it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.083 | Best: {'fx': 530.782} (0.084):  42%|████▏     | 21/50 [00:01<00:01, 16.01it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.082 | Best: {'fx': 530.782} (0.084):  44%|████▍     | 22/50 [00:01<00:01, 16.01it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.082 | Best: {'fx': 530.782} (0.084):  46%|████▌     | 23/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.085 | Best: {'fx': 531.803} (0.085):  46%|████▌     | 23/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.076 | Best: {'fx': 531.803} (0.085):  48%|████▊     | 24/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.082 | Best: {'fx': 531.803} (0.085):  50%|█████     | 25/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.082 | Best: {'fx': 531.803} (0.085):  52%|█████▏    | 26/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.073 | Best: {'fx': 531.803} (0.085):  54%|█████▍    | 27/50 [00:01<00:01, 18.55it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.073 | Best: {'fx': 531.803} (0.085):  56%|█████▌    | 28/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.071 | Best: {'fx': 531.803} (0.085):  56%|█████▌    | 28/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.076 | Best: {'fx': 531.803} (0.085):  58%|█████▊    | 29/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.081 | Best: {'fx': 531.803} (0.085):  60%|██████    | 30/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.081 | Best: {'fx': 531.803} (0.085):  62%|██████▏   | 31/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.079 | Best: {'fx': 531.803} (0.085):  64%|██████▍   | 32/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.069 | Best: {'fx': 531.803} (0.085):  66%|██████▌   | 33/50 [00:01<00:00, 23.48it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.069 | Best: {'fx': 531.803} (0.085):  68%|██████▊   | 34/50 [00:01<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.080 | Best: {'fx': 531.803} (0.085):  68%|██████▊   | 34/50 [00:01<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.069 | Best: {'fx': 531.803} (0.085):  70%|███████   | 35/50 [00:02<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.070 | Best: {'fx': 531.803} (0.085):  72%|███████▏  | 36/50 [00:02<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.066 | Best: {'fx': 531.803} (0.085):  74%|███████▍  | 37/50 [00:02<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.078 | Best: {'fx': 531.803} (0.085):  76%|███████▌  | 38/50 [00:02<00:00, 29.04it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.078 | Best: {'fx': 531.803} (0.085):  78%|███████▊  | 39/50 [00:02<00:00, 32.26it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.067 | Best: {'fx': 531.803} (0.085):  78%|███████▊  | 39/50 [00:02<00:00, 32.26it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.065 | Best: {'fx': 531.803} (0.085):  80%|████████  | 40/50 [00:02<00:00, 32.26it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.063 | Best: {'fx': 531.803} (0.085):  82%|████████▏ | 41/50 [00:02<00:00, 32.26it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.062 | Best: {'fx': 531.803} (0.085):  84%|████████▍ | 42/50 [00:02<00:00, 32.26it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.062 | Best: {'fx': 531.803} (0.085):  86%|████████▌ | 43/50 [00:02<00:00, 33.25it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.061 | Best: {'fx': 531.803} (0.085):  86%|████████▌ | 43/50 [00:02<00:00, 33.25it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.060 | Best: {'fx': 531.803} (0.085):  88%|████████▊ | 44/50 [00:02<00:00, 33.25it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.060 | Best: {'fx': 531.803} (0.085):  90%|█████████ | 45/50 [00:02<00:00, 33.25it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.059 | Best: {'fx': 531.803} (0.085):  92%|█████████▏| 46/50 [00:02<00:00, 33.25it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.059 | Best: {'fx': 531.803} (0.085):  94%|█████████▍| 47/50 [00:02<00:00, 32.23it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.058 | Best: {'fx': 531.803} (0.085):  94%|█████████▍| 47/50 [00:02<00:00, 32.23it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.056 | Best: {'fx': 531.803} (0.085):  96%|█████████▌| 48/50 [00:02<00:00, 32.23it/s]
Brute | Start: {'fx': 533.333} (0.083) | Current: 0.055 | Best: {'fx': 531.803} (0.085):  98%|█████████▊| 49/50 [00:02<00:00, 32.23it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 531.8027210884354
    px: 1035.0
    py: 764.0
    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: 1000(1000mm):20/20, 2000L(2000mm):20/20, 2000R(2000mm):20/20, 1500(1500mm):20/20
  Total: 80/80 frames used for optimization

Initial score: 22.9806: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 22.9806, picklable_objective(x0) = 22.9973

Best score: 22.9973: : 0iter [00:01, ?iter/s] 
Best score: 22.9973: : 1iter [00:01,  2.00s/iter]
Best score: 22.9973: : 1iter [00:02,  2.00s/iter]
Best score: 22.9973: : 2iter [00:02,  2.00s/iter]
Best score: 22.9973: : 3iter [00:02,  1.72iter/s]
Best score: 22.9973: : 3iter [00:02,  1.72iter/s]
Best score: 22.9973: : 4iter [00:02,  1.72iter/s]
Best score: 22.9973: : 5iter [00:02,  3.05iter/s]
Best score: 22.9973: : 5iter [00:02,  3.05iter/s]
Best score: 22.9973: : 6iter [00:02,  3.05iter/s]
Best score: 22.9973: : 7iter [00:02,  4.42iter/s]
Best score: 22.9973: : 7iter [00:02,  4.42iter/s]
Best score: 22.9973: : 8iter [00:02,  4.42iter/s]
Best score: 22.9973: : 9iter [00:02,  5.76iter/s]
Best score: 22.9973: : 9iter [00:02,  5.76iter/s]
Best score: 22.9973: : 10iter [00:02,  5.76iter/s]
Best score: 22.9973: : 11iter [00:02,  6.90iter/s]
Best score: 22.9973: : 11iter [00:02,  6.90iter/s]
Best score: 22.9973: : 12iter [00:03,  6.90iter/s]
Best score: 22.9973: : 13iter [00:03,  7.95iter/s]
Best score: 22.9973: : 13iter [00:03,  7.95iter/s]
Best score: 22.9973: : 14iter [00:03,  7.95iter/s]
Best score: 22.9973: : 15iter [00:03,  8.81iter/s]
Best score: 22.9973: : 15iter [00:03,  8.81iter/s]
Best score: 22.9973: : 16iter [00:03,  8.81iter/s]
Best score: 22.9973: : 17iter [00:03,  9.49iter/s]
Best score: 22.9973: : 17iter [00:03,  9.49iter/s]
Best score: 22.9973: : 18iter [00:03,  9.49iter/s]
Best score: 22.9973: : 19iter [00:03, 10.04iter/s]
Best score: 22.9973: : 19iter [00:03, 10.04iter/s]
Best score: 22.9973: : 20iter [00:03, 10.04iter/s]
Best score: 22.9973: : 21iter [00:03, 10.29iter/s]
Best score: 22.9973: : 21iter [00:03, 10.29iter/s]
Best score: 22.9973: : 22iter [00:03, 10.29iter/s]
Best score: 22.9973: : 23iter [00:03, 10.62iter/s]
Best score: 22.9973: : 23iter [00:04, 10.62iter/s]
Best score: 22.9973: : 24iter [00:04, 10.62iter/s]
Best score: 22.9973: : 25iter [00:04, 10.87iter/s]
Best score: 22.9973: : 25iter [00:04, 10.87iter/s]
Best score: 22.9973: : 26iter [00:04, 10.87iter/s]
Best score: 22.9973: : 27iter [00:04, 11.08iter/s]
Best score: 22.9973: : 27iter [00:04, 11.08iter/s]
Best score: 22.9973: : 28iter [00:04, 11.08iter/s]
Best score: 22.9973: : 29iter [00:04, 11.24iter/s]
Best score: 22.9973: : 29iter [00:04, 11.24iter/s]
Best score: 22.9973: : 30iter [00:04, 11.24iter/s]
Best score: 22.9973: : 31iter [00:04, 11.22iter/s]
Best score: 22.9973: : 31iter [00:04, 11.22iter/s]
Best score: 22.9973: : 32iter [00:04, 11.22iter/s]
Best score: 22.9973: : 33iter [00:04, 11.30iter/s]
Best score: 22.9973: : 33iter [00:04, 11.30iter/s]
Best score: 22.9973: : 34iter [00:04, 11.30iter/s]
Best score: 22.9973: : 35iter [00:04, 11.38iter/s]
Best score: 22.9973: : 35iter [00:05, 11.38iter/s]
Best score: 22.9973: : 36iter [00:05, 11.38iter/s]
Best score: 22.9973: : 37iter [00:05, 11.43iter/s]
Best score: 22.9973: : 37iter [00:05, 11.43iter/s]
Best score: 22.9973: : 38iter [00:05, 11.43iter/s]
Best score: 22.9973: : 39iter [00:05, 11.49iter/s]
Best score: 22.9973: : 39iter [00:05, 11.49iter/s]
Best score: 22.9973: : 40iter [00:05, 11.49iter/s]
Best score: 22.9973: : 41iter [00:05, 11.36iter/s]
Best score: 22.9973: : 41iter [00:05, 11.36iter/s]
Best score: 22.9973: : 42iter [00:05, 11.36iter/s]
Best score: 22.9973: : 43iter [00:05, 11.44iter/s]
Best score: 22.9973: : 43iter [00:05, 11.44iter/s]
Best score: 22.9973: : 44iter [00:05, 11.44iter/s]
Best score: 22.9973: : 45iter [00:05, 11.44iter/s]
Best score: 22.9973: : 45iter [00:05, 11.44iter/s]
Best score: 22.9973: : 46iter [00:06, 11.44iter/s]
Best score: 22.9973: : 47iter [00:06, 11.44iter/s]
Best score: 22.9973: : 47iter [00:06, 11.44iter/s]
Best score: 22.9973: : 48iter [00:06, 11.44iter/s]
Best score: 22.9973: : 49iter [00:06, 11.48iter/s]
[ITER 50] Best: 22.9973
[PARAMS] Current best parameters:
  fx: 531.8027
  fy: 531.8027
  px: 1035.0000
  py: 764.0000
  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: 22.9973: : 49iter [00:06, 11.48iter/s]
Best score: 22.9973: : 50iter [00:06, 11.48iter/s]
Best score: 22.9973: : 51iter [00:06, 11.40iter/s]
Best score: 22.9973: : 51iter [00:06, 11.40iter/s]
Best score: 22.9973: : 52iter [00:06, 11.40iter/s]
Best score: 22.9973: : 53iter [00:06, 11.44iter/s]
Best score: 22.9973: : 53iter [00:06, 11.44iter/s]
Best score: 22.9973: : 54iter [00:06, 11.44iter/s]
Best score: 22.9973: : 55iter [00:06, 11.46iter/s]
Best score: 22.9973: : 55iter [00:06, 11.46iter/s]
Best score: 22.9973: : 56iter [00:06, 11.46iter/s]
Best score: 22.9973: : 57iter [00:06, 11.44iter/s]
Best score: 22.9973: : 57iter [00:06, 11.44iter/s]
Best score: 22.9973: : 58iter [00:07, 11.44iter/s]
Best score: 22.9973: : 59iter [00:07, 11.51iter/s]
Best score: 22.9973: : 59iter [00:07, 11.51iter/s]
Best score: 22.9973: : 60iter [00:07, 11.51iter/s]
Best score: 22.9973: : 61iter [00:07, 11.41iter/s]
Best score: 22.9973: : 61iter [00:07, 11.41iter/s]
Best score: 22.9973: : 62iter [00:07, 11.41iter/s]
Best score: 22.9973: : 63iter [00:07, 11.51iter/s]
Best score: 22.9973: : 63iter [00:07, 11.51iter/s]
Best score: 22.9973: : 64iter [00:07, 11.51iter/s]
Best score: 22.9973: : 65iter [00:07, 11.56iter/s]
Best score: 22.9973: : 65iter [00:07, 11.56iter/s]
Best score: 22.9973: : 66iter [00:07, 11.56iter/s]
Best score: 22.9973: : 67iter [00:07, 11.59iter/s]
Best score: 22.9973: : 67iter [00:07, 11.59iter/s]
Best score: 22.9973: : 68iter [00:07, 11.59iter/s]
Best score: 22.9973: : 69iter [00:07, 11.64iter/s]
Best score: 10.6961: : 69iter [00:08, 11.64iter/s]
Best score: 10.6961: : 70iter [00:08, 11.64iter/s]
Best score: 10.6961: : 71iter [00:08, 11.48iter/s]
Best score: 10.6961: : 71iter [00:08, 11.48iter/s]
Best score: 10.6961: : 72iter [00:08, 11.48iter/s]
Best score: 10.6961: : 73iter [00:08, 11.55iter/s]
Best score: 10.6961: : 73iter [00:08, 11.55iter/s]
Best score: 10.6961: : 74iter [00:08, 11.55iter/s]
Best score: 10.6961: : 75iter [00:08, 11.62iter/s]
Best score: 10.6961: : 75iter [00:08, 11.62iter/s]
Best score: 10.6961: : 76iter [00:08, 11.62iter/s]
Best score: 10.6961: : 77iter [00:08, 11.59iter/s]
Best score: 10.6961: : 77iter [00:08, 11.59iter/s]
Best score: 10.6961: : 78iter [00:08, 11.59iter/s]
Best score: 10.6961: : 79iter [00:08, 11.62iter/s]
Best score: 10.6961: : 79iter [00:08, 11.62iter/s]
Best score: 10.6961: : 80iter [00:08, 11.62iter/s]
Best score: 10.6961: : 81iter [00:08, 11.46iter/s]
Best score: 10.6961: : 81iter [00:09, 11.46iter/s]
Best score: 10.6961: : 82iter [00:09, 11.46iter/s]
Best score: 10.6961: : 83iter [00:09, 11.54iter/s]
Best score: 10.6961: : 83iter [00:09, 11.54iter/s]
Best score: 10.6961: : 84iter [00:09, 11.54iter/s]
Best score: 10.6961: : 85iter [00:09, 11.57iter/s]
Best score: 10.6961: : 85iter [00:09, 11.57iter/s]
Best score: 10.6961: : 86iter [00:09, 11.57iter/s]
Best score: 10.6961: : 87iter [00:09, 11.63iter/s]
Best score: 10.6961: : 87iter [00:09, 11.63iter/s]
Best score: 10.6961: : 88iter [00:09, 11.63iter/s]
Best score: 10.6961: : 89iter [00:09, 11.68iter/s]
Best score: 5.5683: : 89iter [00:09, 11.68iter/s] 
Best score: 5.5683: : 90iter [00:09, 11.68iter/s]
Best score: 5.5683: : 91iter [00:09, 11.48iter/s]
Best score: 5.5683: : 91iter [00:09, 11.48iter/s]
Best score: 5.5683: : 92iter [00:10, 11.48iter/s]
Best score: 5.5683: : 93iter [00:10, 11.54iter/s]
Best score: 5.5683: : 93iter [00:10, 11.54iter/s]
Best score: 5.5683: : 94iter [00:10, 11.54iter/s]
Best score: 5.5683: : 95iter [00:10, 11.57iter/s]
Best score: 5.5683: : 95iter [00:10, 11.57iter/s]
Best score: 5.5683: : 96iter [00:10, 11.57iter/s]
Best score: 5.5683: : 97iter [00:10, 11.61iter/s]
Best score: 5.5683: : 97iter [00:10, 11.61iter/s]
Best score: 5.5683: : 98iter [00:10, 11.61iter/s]
Best score: 5.5683: : 99iter [00:10, 11.58iter/s]
[ITER 100] Best: 5.5683
[PARAMS] Current best parameters:
  fx: 485.4031
  fy: 483.4854
  px: 1035.1601
  py: 773.0210
  k1: 0.11545967
  k2: 0.00977710
  k3: -0.06511655
  k4: 0.02162625
  p1: 0.02006231
  p2: -0.01139342
  p3: 0.00578451
  p4: -0.01874805
  s1: 0.0200
  s2: 0.0068
  s3: -0.0059
  s4: 0.0063
  tilt_x: -0.0463
  tilt_y: -0.0211
  scale: 2.8346
  rotation: -0.1054

Best score: 5.5683: : 99iter [00:10, 11.58iter/s]
Best score: 5.5683: : 100iter [00:10, 11.58iter/s]
Best score: 5.5683: : 101iter [00:10,  9.85iter/s]
Best score: 5.5683: : 101iter [00:10,  9.85iter/s]
Best score: 5.5683: : 102iter [00:10,  9.85iter/s]
Best score: 5.5683: : 103iter [00:10, 10.28iter/s]
Best score: 5.5683: : 103iter [00:11, 10.28iter/s]
Best score: 5.5683: : 104iter [00:11, 10.28iter/s]
Best score: 5.5683: : 105iter [00:11, 10.59iter/s]
Best score: 5.5683: : 105iter [00:11, 10.59iter/s]
Best score: 5.5683: : 106iter [00:11, 10.59iter/s]
Best score: 5.5683: : 107iter [00:11, 10.81iter/s]
Best score: 5.5683: : 107iter [00:11, 10.81iter/s]
Best score: 5.5683: : 108iter [00:11, 10.81iter/s]
Best score: 5.5683: : 109iter [00:11, 10.99iter/s]
Best score: 5.5683: : 109iter [00:11, 10.99iter/s]
Best score: 5.5683: : 110iter [00:11, 10.99iter/s]
Best score: 5.5683: : 111iter [00:11, 10.96iter/s]
Best score: 5.5683: : 111iter [00:11, 10.96iter/s]
Best score: 5.5683: : 112iter [00:11, 10.96iter/s]
Best score: 5.5683: : 113iter [00:11, 11.07iter/s]
Best score: 5.5683: : 113iter [00:11, 11.07iter/s]
Best score: 5.5683: : 114iter [00:12, 11.07iter/s]
Best score: 5.5683: : 115iter [00:12, 11.14iter/s]
Best score: 5.5683: : 115iter [00:12, 11.14iter/s]
Best score: 5.5683: : 116iter [00:12, 11.14iter/s]
Best score: 5.5683: : 117iter [00:12, 11.25iter/s]
Best score: 5.5683: : 117iter [00:12, 11.25iter/s]
Best score: 5.5683: : 118iter [00:12, 11.25iter/s]
Best score: 5.5683: : 119iter [00:12, 11.30iter/s]
Best score: 5.5683: : 119iter [00:12, 11.30iter/s]
Best score: 5.5683: : 120iter [00:12, 11.30iter/s]
Best score: 5.5683: : 121iter [00:12, 11.19iter/s]
Best score: 5.5683: : 121iter [00:12, 11.19iter/s]
Best score: 5.5683: : 122iter [00:12, 11.19iter/s]
Best score: 5.5683: : 123iter [00:12, 11.27iter/s]
Best score: 5.5683: : 123iter [00:12, 11.27iter/s]
Best score: 5.5683: : 124iter [00:12, 11.27iter/s]
Best score: 5.5683: : 125iter [00:12, 11.31iter/s]
Best score: 5.5683: : 125iter [00:13, 11.31iter/s]
Best score: 5.5683: : 126iter [00:13, 11.31iter/s]
Best score: 5.5683: : 127iter [00:13, 11.36iter/s]
Best score: 5.5683: : 127iter [00:13, 11.36iter/s]
Best score: 5.5683: : 128iter [00:13, 11.36iter/s]
Best score: 5.5683: : 129iter [00:13, 11.37iter/s]
Best score: 5.5683: : 129iter [00:13, 11.37iter/s]
Best score: 5.5683: : 130iter [00:13, 11.37iter/s]
Best score: 5.5683: : 131iter [00:13, 11.22iter/s]
Best score: 5.5683: : 131iter [00:13, 11.22iter/s]
Best score: 5.5683: : 132iter [00:13, 11.22iter/s]
Best score: 5.5683: : 133iter [00:13, 11.29iter/s]
Best score: 5.5683: : 133iter [00:13, 11.29iter/s]
Best score: 5.5683: : 134iter [00:13, 11.29iter/s]
Best score: 5.5683: : 135iter [00:13, 11.34iter/s]
Best score: 5.5683: : 135iter [00:13, 11.34iter/s]
Best score: 5.5683: : 136iter [00:13, 11.34iter/s]
Best score: 5.5683: : 137iter [00:13, 11.39iter/s]
Best score: 5.5683: : 137iter [00:14, 11.39iter/s]
Best score: 5.5683: : 138iter [00:14, 11.39iter/s]
Best score: 5.5683: : 139iter [00:14, 11.40iter/s]
Best score: 5.5683: : 139iter [00:14, 11.40iter/s]
Best score: 5.5683: : 140iter [00:14, 11.40iter/s]
Best score: 5.5683: : 141iter [00:14, 11.22iter/s]
Best score: 5.5683: : 141iter [00:14, 11.22iter/s]
Best score: 5.5683: : 142iter [00:14, 11.22iter/s]
Best score: 5.5683: : 143iter [00:14, 11.29iter/s]
Best score: 5.5683: : 143iter [00:14, 11.29iter/s]
Best score: 5.5683: : 144iter [00:14, 11.29iter/s]
Best score: 5.5683: : 145iter [00:14, 11.33iter/s]
Best score: 5.5683: : 145iter [00:14, 11.33iter/s]
Best score: 5.5683: : 146iter [00:14, 11.33iter/s]
Best score: 5.5683: : 147iter [00:14, 11.32iter/s]
Best score: 5.5683: : 147iter [00:14, 11.32iter/s]
Best score: 5.5683: : 148iter [00:15, 11.32iter/s]
Best score: 5.5683: : 149iter [00:15, 11.42iter/s]
[ITER 150] Best: 5.5683
[PARAMS] Current best parameters:
  fx: 485.4031
  fy: 483.4854
  px: 1035.1601
  py: 773.0210
  k1: 0.11545967
  k2: 0.00977710
  k3: -0.06511655
  k4: 0.02162625
  p1: 0.02006231
  p2: -0.01139342
  p3: 0.00578451
  p4: -0.01874805
  s1: 0.0200
  s2: 0.0068
  s3: -0.0059
  s4: 0.0063
  tilt_x: -0.0463
  tilt_y: -0.0211
  scale: 2.8346
  rotation: -0.1054

Best score: 5.5683: : 149iter [00:15, 11.42iter/s]
Best score: 5.5683: : 150iter [00:15, 11.42iter/s]
Best score: 5.5683: : 151iter [00:15,  7.40iter/s]
Best score: 5.5683: : 151iter [00:15,  7.40iter/s]
Best score: 5.5683: : 152iter [00:15,  7.40iter/s]
Best score: 5.5683: : 153iter [00:15,  8.29iter/s]
Best score: 5.5683: : 153iter [00:15,  8.29iter/s]
Best score: 5.5683: : 154iter [00:15,  8.29iter/s]
Best score: 5.5683: : 155iter [00:15,  9.07iter/s]
Best score: 5.5683: : 155iter [00:15,  9.07iter/s]
Best score: 5.5683: : 156iter [00:16,  9.07iter/s]
Best score: 5.5683: : 157iter [00:16,  9.68iter/s]
Best score: 5.5683: : 157iter [00:16,  9.68iter/s]
Best score: 5.5683: : 158iter [00:16,  9.68iter/s]
Best score: 5.5683: : 159iter [00:16, 10.21iter/s]
Best score: 5.5683: : 159iter [00:16, 10.21iter/s]
Best score: 5.5683: : 160iter [00:16, 10.21iter/s]
Best score: 5.5683: : 161iter [00:16, 10.47iter/s]
Best score: 5.5683: : 161iter [00:16, 10.47iter/s]
Best score: 5.5683: : 162iter [00:16, 10.47iter/s]
Best score: 5.5683: : 163iter [00:16, 10.82iter/s]
Best score: 5.5683: : 163iter [00:16, 10.82iter/s]
Best score: 5.5683: : 164iter [00:16, 10.82iter/s]
Best score: 5.5683: : 165iter [00:16, 11.08iter/s]
Best score: 5.5683: : 165iter [00:16, 11.08iter/s]
Best score: 5.5683: : 166iter [00:16, 11.08iter/s]
Best score: 5.5683: : 167iter [00:16, 11.26iter/s]
Best score: 5.5683: : 167iter [00:16, 11.26iter/s]
Best score: 5.5683: : 168iter [00:17, 11.26iter/s]
Best score: 5.5683: : 169iter [00:17, 11.40iter/s]
Best score: 5.5683: : 169iter [00:17, 11.40iter/s]
Best score: 5.5683: : 170iter [00:17, 11.40iter/s]
Best score: 5.5683: : 171iter [00:17, 11.24iter/s]
Best score: 5.5683: : 171iter [00:17, 11.24iter/s]
Best score: 5.5683: : 172iter [00:17, 11.24iter/s]
Best score: 5.5683: : 173iter [00:17, 11.35iter/s]
Best score: 5.5683: : 173iter [00:17, 11.35iter/s]
Best score: 5.5683: : 174iter [00:17, 11.35iter/s]
Best score: 5.5683: : 175iter [00:17, 11.43iter/s]
Best score: 5.5683: : 175iter [00:17, 11.43iter/s]
Best score: 5.5683: : 176iter [00:17, 11.43iter/s]
Best score: 5.5683: : 177iter [00:17, 11.50iter/s]
Best score: 5.5683: : 177iter [00:17, 11.50iter/s]
Best score: 5.5683: : 178iter [00:17, 11.50iter/s]
Best score: 5.5683: : 179iter [00:17, 11.53iter/s]
Best score: 5.5683: : 179iter [00:18, 11.53iter/s]
Best score: 5.5683: : 180iter [00:18, 11.53iter/s]
Best score: 5.5683: : 181iter [00:18, 11.37iter/s]
Best score: 5.5683: : 181iter [00:18, 11.37iter/s]
Best score: 5.5683: : 182iter [00:18, 11.37iter/s]
Best score: 5.5683: : 183iter [00:18, 11.43iter/s]
Best score: 5.5683: : 183iter [00:18, 11.43iter/s]
Best score: 5.5683: : 184iter [00:18, 11.43iter/s]
Best score: 5.5683: : 185iter [00:18, 11.47iter/s]
Best score: 5.5683: : 185iter [00:18, 11.47iter/s]
Best score: 5.5683: : 186iter [00:18, 11.47iter/s]
Best score: 5.5683: : 187iter [00:18, 11.52iter/s]
Best score: 5.5683: : 187iter [00:18, 11.52iter/s]
Best score: 5.5683: : 188iter [00:18, 11.52iter/s]
Best score: 5.5683: : 189iter [00:18, 11.59iter/s]
Best score: 5.5683: : 189iter [00:18, 11.59iter/s]
Best score: 5.5683: : 190iter [00:19, 11.59iter/s]
Best score: 5.5683: : 191iter [00:19, 11.46iter/s]
Best score: 5.5683: : 191iter [00:19, 11.46iter/s]
Best score: 5.5683: : 192iter [00:19, 11.46iter/s]
Best score: 5.5683: : 193iter [00:19, 11.51iter/s]
Best score: 5.5683: : 193iter [00:19, 11.51iter/s]
Best score: 5.5683: : 194iter [00:19, 11.51iter/s]
Best score: 5.5683: : 195iter [00:19, 11.57iter/s]
Best score: 5.5683: : 195iter [00:19, 11.57iter/s]
Best score: 5.5683: : 196iter [00:19, 11.57iter/s]
Best score: 5.5683: : 197iter [00:19, 11.58iter/s]
Best score: 5.5683: : 197iter [00:19, 11.58iter/s]
Best score: 5.5683: : 198iter [00:19, 11.58iter/s]
Best score: 5.5683: : 199iter [00:19, 11.61iter/s]
[ITER 200] Best: 5.5683
[PARAMS] Current best parameters:
  fx: 485.4031
  fy: 483.4854
  px: 1035.1601
  py: 773.0210
  k1: 0.11545967
  k2: 0.00977710
  k3: -0.06511655
  k4: 0.02162625
  p1: 0.02006231
  p2: -0.01139342
  p3: 0.00578451
  p4: -0.01874805
  s1: 0.0200
  s2: 0.0068
  s3: -0.0059
  s4: 0.0063
  tilt_x: -0.0463
  tilt_y: -0.0211
  scale: 2.8346
  rotation: -0.1054

Best score: 5.5683: : 199iter [00:19, 11.61iter/s]
Best score: 5.5683: : 200iter [00:20, 11.61iter/s]
Best score: 5.5683: : 201iter [00:20,  7.49iter/s]
Best score: 5.5683: : 201iter [00:20,  7.49iter/s]
Best score: 5.5683: : 202iter [00:20,  7.49iter/s]
Best score: 5.5683: : 203iter [00:20,  8.40iter/s]
Best score: 5.5683: : 203iter [00:20,  8.40iter/s]
Best score: 5.5683: : 204iter [00:20,  8.40iter/s]
Best score: 5.5683: : 205iter [00:20,  9.15iter/s]
Best score: 5.5683: : 205iter [00:20,  9.15iter/s]
Best score: 5.5683: : 206iter [00:20,  9.15iter/s]
Best score: 5.5683: : 207iter [00:20,  9.76iter/s]
Best score: 5.5683: : 207iter [00:20,  9.76iter/s]
Best score: 5.5683: : 208iter [00:20,  9.76iter/s]
Best score: 5.5683: : 209iter [00:20, 10.28iter/s]
Best score: 5.5587: : 209iter [00:20, 10.28iter/s]
Best score: 5.5587: : 210iter [00:21, 10.28iter/s]
Best score: 5.5587: : 211iter [00:21, 10.50iter/s]
Best score: 5.5587: : 211iter [00:21, 10.50iter/s]
Best score: 5.5587: : 212iter [00:21, 10.50iter/s]
Best score: 5.5587: : 213iter [00:21, 10.81iter/s]
Best score: 5.5587: : 213iter [00:21, 10.81iter/s]
Best score: 5.5587: : 214iter [00:21, 10.81iter/s]
Best score: 5.5587: : 215iter [00:21, 11.01iter/s]
Best score: 5.5587: : 215iter [00:21, 11.01iter/s]
Best score: 5.5587: : 216iter [00:21, 11.01iter/s]
Best score: 5.5587: : 217iter [00:21, 11.25iter/s]
Best score: 5.5587: : 217iter [00:21, 11.25iter/s]
Best score: 5.5587: : 218iter [00:21, 11.25iter/s]
Best score: 5.5587: : 219iter [00:21, 11.41iter/s]
Best score: 5.5587: : 219iter [00:21, 11.41iter/s]
Best score: 5.5587: : 220iter [00:21, 11.41iter/s]
Best score: 5.5587: : 221iter [00:21, 11.34iter/s]
Best score: 5.5587: : 221iter [00:21, 11.34iter/s]
Best score: 5.5587: : 222iter [00:22, 11.34iter/s]
Best score: 5.5587: : 223iter [00:22, 11.48iter/s]
Best score: 5.5587: : 223iter [00:22, 11.48iter/s]
Best score: 5.5587: : 224iter [00:22, 11.48iter/s]
Best score: 5.5587: : 225iter [00:22, 11.51iter/s]
Best score: 5.5587: : 225iter [00:22, 11.51iter/s]
Best score: 5.5587: : 226iter [00:22, 11.51iter/s]
Best score: 5.5587: : 227iter [00:22, 11.60iter/s]
Best score: 5.5587: : 227iter [00:22, 11.60iter/s]
Best score: 5.5587: : 228iter [00:22, 11.60iter/s]
Best score: 5.5587: : 229iter [00:22, 11.63iter/s]
Best score: 5.5587: : 229iter [00:22, 11.63iter/s]
Best score: 5.5587: : 230iter [00:22, 11.63iter/s]
Best score: 5.5587: : 231iter [00:22, 11.42iter/s]
Best score: 5.5587: : 231iter [00:22, 11.42iter/s]
Best score: 5.5587: : 232iter [00:22, 11.42iter/s]
Best score: 5.5587: : 233iter [00:22, 11.51iter/s]
Best score: 5.5587: : 233iter [00:23, 11.51iter/s]
Best score: 5.5587: : 234iter [00:23, 11.51iter/s]
Best score: 5.5587: : 235iter [00:23, 11.60iter/s]
Best score: 5.5587: : 235iter [00:23, 11.60iter/s]
Best score: 5.5587: : 236iter [00:23, 11.60iter/s]
Best score: 5.5587: : 237iter [00:23, 11.60iter/s]
Best score: 5.5587: : 237iter [00:23, 11.60iter/s]
Best score: 5.5587: : 238iter [00:23, 11.60iter/s]
Best score: 5.5587: : 239iter [00:23, 11.65iter/s]
Best score: 3.9529: : 239iter [00:23, 11.65iter/s]
Best score: 3.9529: : 240iter [00:23, 11.65iter/s]
Best score: 3.9529: : 241iter [00:23, 11.48iter/s]
Best score: 3.9529: : 241iter [00:23, 11.48iter/s]
Best score: 3.9529: : 242iter [00:23, 11.48iter/s]
Best score: 3.9529: : 243iter [00:23, 11.57iter/s]
Best score: 3.9529: : 243iter [00:23, 11.57iter/s]
Best score: 3.9529: : 244iter [00:23, 11.57iter/s]
Best score: 3.9529: : 245iter [00:23, 11.56iter/s]
Best score: 3.9529: : 245iter [00:24, 11.56iter/s]
Best score: 3.9529: : 246iter [00:24, 11.56iter/s]
Best score: 3.9529: : 247iter [00:24, 11.61iter/s]
Best score: 3.9529: : 247iter [00:24, 11.61iter/s]
Best score: 3.9529: : 248iter [00:24, 11.61iter/s]
Best score: 3.9529: : 249iter [00:24, 11.64iter/s]
[ITER 250] Best: 2.6649
[PARAMS] Current best parameters:
  fx: 508.9920
  fy: 509.8671
  px: 1045.7282
  py: 782.9559
  k1: 0.03985771
  k2: 0.03470995
  k3: -0.05648455
  k4: 0.01736694
  p1: 0.04335695
  p2: 0.00073015
  p3: -0.00691825
  p4: -0.01811158
  s1: 0.0298
  s2: 0.0042
  s3: -0.0084
  s4: 0.0088
  tilt_x: -0.0493
  tilt_y: -0.0421
  scale: 2.9346
  rotation: -0.0243

Best score: 2.6649: : 249iter [00:24, 11.64iter/s]
Best score: 2.6649: : 250iter [00:24, 11.64iter/s]
Best score: 2.6649: : 251iter [00:24,  7.48iter/s]
Best score: 2.6649: : 251iter [00:24,  7.48iter/s]
Best score: 2.6649: : 252iter [00:24,  7.48iter/s]
Best score: 2.6649: : 253iter [00:24,  8.37iter/s]
Best score: 2.6649: : 253iter [00:25,  8.37iter/s]
Best score: 2.6649: : 254iter [00:25,  8.37iter/s]
Best score: 2.6649: : 255iter [00:25,  9.13iter/s]
Best score: 2.6649: : 255iter [00:25,  9.13iter/s]
Best score: 2.6649: : 256iter [00:25,  9.13iter/s]
Best score: 2.6649: : 257iter [00:25,  9.77iter/s]
Best score: 2.6649: : 257iter [00:25,  9.77iter/s]
Best score: 2.6649: : 258iter [00:25,  9.77iter/s]
Best score: 2.6649: : 259iter [00:25, 10.30iter/s]
Best score: 2.4200: : 259iter [00:25, 10.30iter/s]
Best score: 2.4200: : 260iter [00:25, 10.30iter/s]
Best score: 2.4200: : 261iter [00:25, 10.54iter/s]
Best score: 2.4200: : 261iter [00:25, 10.54iter/s]
Best score: 2.4200: : 262iter [00:25, 10.54iter/s]
Best score: 2.4200: : 263iter [00:25, 10.89iter/s]
Best score: 2.4200: : 263iter [00:25, 10.89iter/s]
Best score: 2.4200: : 264iter [00:26, 10.89iter/s]
Best score: 2.4200: : 265iter [00:26, 11.12iter/s]
Best score: 2.4200: : 265iter [00:26, 11.12iter/s]
Best score: 2.4200: : 266iter [00:26, 11.12iter/s]
Best score: 2.4200: : 267iter [00:26, 11.32iter/s]
Best score: 2.4200: : 267iter [00:26, 11.32iter/s]
Best score: 2.4200: : 268iter [00:26, 11.32iter/s]
Best score: 2.4200: : 269iter [00:26, 11.47iter/s]
Best score: 2.1325: : 269iter [00:26, 11.47iter/s]
Best score: 2.1325: : 270iter [00:26, 11.47iter/s]
Best score: 2.1325: : 271iter [00:26, 11.32iter/s]
Best score: 2.1325: : 271iter [00:26, 11.32iter/s]
Best score: 2.1325: : 272iter [00:26, 11.32iter/s]
Best score: 2.1325: : 273iter [00:26, 11.45iter/s]
Best score: 2.1325: : 273iter [00:26, 11.45iter/s]
Best score: 2.1325: : 274iter [00:26, 11.45iter/s]
Best score: 2.1325: : 275iter [00:26, 11.52iter/s]
Best score: 2.1325: : 275iter [00:26, 11.52iter/s]
Best score: 2.1325: : 276iter [00:27, 11.52iter/s]
Best score: 2.1325: : 277iter [00:27,  8.67iter/s]
Best score: 2.1325: : 277iter [00:27,  8.67iter/s]
Best score: 2.1325: : 278iter [00:27,  8.67iter/s]
Best score: 2.1325: : 279iter [00:27,  9.40iter/s]
Best score: 1.9806: : 279iter [00:27,  9.40iter/s]
Best score: 1.9806: : 280iter [00:27,  9.40iter/s]
Best score: 1.9806: : 281iter [00:27,  9.85iter/s]
Best score: 1.9806: : 281iter [00:27,  9.85iter/s]
Best score: 1.9806: : 282iter [00:27,  9.85iter/s]
Best score: 1.9806: : 283iter [00:27, 10.35iter/s]
Best score: 1.9806: : 283iter [00:27, 10.35iter/s]
Best score: 1.9806: : 284iter [00:27, 10.35iter/s]
Best score: 1.9806: : 285iter [00:27, 10.75iter/s]
Best score: 1.9806: : 285iter [00:28, 10.75iter/s]
Best score: 1.9806: : 286iter [00:28, 10.75iter/s]
Best score: 1.9806: : 287iter [00:28, 11.04iter/s]
Best score: 1.9806: : 287iter [00:28, 11.04iter/s]
Best score: 1.9806: : 288iter [00:28, 11.04iter/s]
Best score: 1.9806: : 289iter [00:28, 11.28iter/s]
Best score: 1.8719: : 289iter [00:28, 11.28iter/s]
Best score: 1.8719: : 290iter [00:28, 11.28iter/s]
Best score: 1.8719: : 291iter [00:28, 11.24iter/s]
Best score: 1.8719: : 291iter [00:28, 11.24iter/s]
Best score: 1.8719: : 292iter [00:28, 11.24iter/s]
Best score: 1.8719: : 293iter [00:28, 11.39iter/s]
Best score: 1.8719: : 293iter [00:28, 11.39iter/s]
Best score: 1.8719: : 294iter [00:28, 11.39iter/s]
Best score: 1.8719: : 295iter [00:28, 11.52iter/s]
Best score: 1.8719: : 295iter [00:28, 11.52iter/s]
Best score: 1.8719: : 296iter [00:28, 11.52iter/s]
Best score: 1.8719: : 297iter [00:28, 11.62iter/s]
Best score: 1.8719: : 297iter [00:29, 11.62iter/s]
Best score: 1.8719: : 298iter [00:29, 11.62iter/s]
Best score: 1.8719: : 299iter [00:29, 11.63iter/s]
[ITER 300] Best: 1.8719
[PARAMS] Current best parameters:
  fx: 516.6940
  fy: 516.7899
  px: 1053.2621
  py: 780.2825
  k1: 0.05261757
  k2: -0.01379107
  k3: -0.02583811
  k4: 0.01238195
  p1: 0.04633522
  p2: 0.00902796
  p3: -0.01713196
  p4: -0.01122756
  s1: 0.0339
  s2: 0.0037
  s3: -0.0070
  s4: 0.0059
  tilt_x: -0.0650
  tilt_y: -0.0521
  scale: 2.9485
  rotation: 0.4248

Best score: 1.8719: : 299iter [00:29, 11.63iter/s]
Best score: 1.8719: : 300iter [00:29, 11.63iter/s]
Best score: 1.8719: : 301iter [00:29,  7.49iter/s]
Best score: 1.8719: : 301iter [00:29,  7.49iter/s]
Best score: 1.8719: : 302iter [00:29,  7.49iter/s]
Best score: 1.8719: : 303iter [00:29,  8.41iter/s]
Best score: 1.8719: : 303iter [00:29,  8.41iter/s]
Best score: 1.8719: : 304iter [00:29,  8.41iter/s]
Best score: 1.8719: : 305iter [00:29,  9.19iter/s]
Best score: 1.8719: : 305iter [00:30,  9.19iter/s]
Best score: 1.8719: : 306iter [00:30,  9.19iter/s]
Best score: 1.8719: : 307iter [00:30,  9.83iter/s]
Best score: 1.8719: : 307iter [00:30,  9.83iter/s]
Best score: 1.8719: : 308iter [00:30,  9.83iter/s]
Best score: 1.8719: : 309iter [00:30, 10.36iter/s]
Best score: 1.6633: : 309iter [00:30, 10.36iter/s]
Best score: 1.6633: : 310iter [00:30, 10.36iter/s]
Best score: 1.6633: : 311iter [00:30, 10.59iter/s]
Best score: 1.6633: : 311iter [00:30, 10.59iter/s]
Best score: 1.6633: : 312iter [00:30, 10.59iter/s]
Best score: 1.6633: : 313iter [00:30, 10.95iter/s]
Best score: 1.6633: : 313iter [00:30, 10.95iter/s]
Best score: 1.6633: : 314iter [00:30, 10.95iter/s]
Best score: 1.6633: : 315iter [00:30, 11.21iter/s]
Best score: 1.6633: : 315iter [00:30, 11.21iter/s]
Best score: 1.6633: : 316iter [00:30, 11.21iter/s]
Best score: 1.6633: : 317iter [00:30, 11.38iter/s]
Best score: 1.6633: : 317iter [00:31, 11.38iter/s]
Best score: 1.6633: : 318iter [00:31, 11.38iter/s]
Best score: 1.6633: : 319iter [00:31, 11.52iter/s]
Best score: 1.2274: : 319iter [00:31, 11.52iter/s]
Best score: 1.2274: : 320iter [00:31, 11.52iter/s]
Best score: 1.2274: : 321iter [00:31, 11.40iter/s]
Best score: 1.2274: : 321iter [00:31, 11.40iter/s]
Best score: 1.2274: : 322iter [00:31, 11.40iter/s]
Best score: 1.2274: : 323iter [00:31, 11.51iter/s]
Best score: 1.2274: : 323iter [00:31, 11.51iter/s]
Best score: 1.2274: : 324iter [00:31, 11.51iter/s]
Best score: 1.2274: : 325iter [00:31, 11.59iter/s]
Best score: 1.2274: : 325iter [00:31, 11.59iter/s]
Best score: 1.2274: : 326iter [00:31, 11.59iter/s]
Best score: 1.2274: : 327iter [00:31, 11.66iter/s]
Best score: 1.2274: : 327iter [00:31, 11.66iter/s]
Best score: 1.2274: : 328iter [00:32, 11.66iter/s]
Best score: 1.2274: : 329iter [00:32, 11.72iter/s]
Best score: 1.2274: : 329iter [00:32, 11.72iter/s]
Best score: 1.2274: : 330iter [00:32, 11.72iter/s]
Best score: 1.2274: : 331iter [00:32, 11.55iter/s]
Best score: 1.2274: : 331iter [00:32, 11.55iter/s]
Best score: 1.2274: : 332iter [00:32, 11.55iter/s]
Best score: 1.2274: : 333iter [00:32, 11.64iter/s]
Best score: 1.2274: : 333iter [00:32, 11.64iter/s]
Best score: 1.2274: : 334iter [00:32, 11.64iter/s]
Best score: 1.2274: : 335iter [00:32, 11.68iter/s]
Best score: 1.2274: : 335iter [00:32, 11.68iter/s]
Best score: 1.2274: : 336iter [00:32, 11.68iter/s]
Best score: 1.2274: : 337iter [00:32, 11.73iter/s]
Best score: 1.2274: : 337iter [00:32, 11.73iter/s]
Best score: 1.2274: : 338iter [00:32, 11.73iter/s]
Best score: 1.2274: : 339iter [00:32, 11.65iter/s]
Best score: 1.2274: : 339iter [00:32, 11.65iter/s]
Best score: 1.2274: : 340iter [00:33, 11.65iter/s]
Best score: 1.2274: : 341iter [00:33, 11.47iter/s]
Best score: 1.2274: : 341iter [00:33, 11.47iter/s]
Best score: 1.2274: : 342iter [00:33, 11.47iter/s]
Best score: 1.2274: : 343iter [00:33, 11.57iter/s]
Best score: 1.2274: : 343iter [00:33, 11.57iter/s]
Best score: 1.2274: : 344iter [00:33, 11.57iter/s]
Best score: 1.2274: : 345iter [00:33, 11.65iter/s]
Best score: 1.2274: : 345iter [00:33, 11.65iter/s]
Best score: 1.2274: : 346iter [00:33, 11.65iter/s]
Best score: 1.2274: : 347iter [00:33, 11.70iter/s]
Best score: 1.2274: : 347iter [00:33, 11.70iter/s]
Best score: 1.2274: : 348iter [00:33, 11.70iter/s]
Best score: 1.2274: : 349iter [00:33, 11.69iter/s]
[ITER 350] Best: 1.2274
[PARAMS] Current best parameters:
  fx: 508.8987
  fy: 509.3952
  px: 1051.6714
  py: 777.3066
  k1: 0.02522539
  k2: 0.02672112
  k3: -0.03820605
  k4: 0.01222856
  p1: 0.04556261
  p2: 0.02057496
  p3: -0.01969434
  p4: -0.01414807
  s1: 0.0257
  s2: 0.0086
  s3: 0.0027
  s4: 0.0024
  tilt_x: -0.0783
  tilt_y: -0.0253
  scale: 2.9946
  rotation: 0.2058

Best score: 1.2274: : 349iter [00:33, 11.69iter/s]
Best score: 1.2274: : 350iter [00:34, 11.69iter/s]
Best score: 1.2274: : 351iter [00:34,  7.52iter/s]
Best score: 1.2274: : 351iter [00:34,  7.52iter/s]
Best score: 1.2274: : 352iter [00:34,  7.52iter/s]
Best score: 1.2274: : 353iter [00:34,  8.43iter/s]
Best score: 1.2274: : 353iter [00:34,  8.43iter/s]
Best score: 1.2274: : 354iter [00:34,  8.43iter/s]
Best score: 1.2274: : 355iter [00:34,  9.23iter/s]
Best score: 1.2274: : 355iter [00:34,  9.23iter/s]
Best score: 1.2274: : 356iter [00:34,  9.23iter/s]
Best score: 1.2274: : 357iter [00:34,  9.83iter/s]
Best score: 1.2274: : 357iter [00:34,  9.83iter/s]
Best score: 1.2274: : 358iter [00:34,  9.83iter/s]
Best score: 1.2274: : 359iter [00:34, 10.33iter/s]
Best score: 1.1284: : 359iter [00:34, 10.33iter/s]
Best score: 1.1284: : 360iter [00:35, 10.33iter/s]
Best score: 1.1284: : 361iter [00:35, 10.57iter/s]
Best score: 1.1284: : 361iter [00:35, 10.57iter/s]
Best score: 1.1284: : 362iter [00:35, 10.57iter/s]
Best score: 1.1284: : 363iter [00:35, 10.92iter/s]
Best score: 1.1284: : 363iter [00:35, 10.92iter/s]
Best score: 1.1284: : 364iter [00:35, 10.92iter/s]
Best score: 1.1284: : 365iter [00:35, 11.18iter/s]
Best score: 1.1284: : 365iter [00:35, 11.18iter/s]
Best score: 1.1284: : 366iter [00:35, 11.18iter/s]
Best score: 1.1284: : 367iter [00:35, 11.34iter/s]
Best score: 1.1284: : 367iter [00:35, 11.34iter/s]
Best score: 1.1284: : 368iter [00:35, 11.34iter/s]
Best score: 1.1284: : 369iter [00:35, 11.49iter/s]
Best score: 1.1284: : 369iter [00:35, 11.49iter/s]
Best score: 1.1284: : 370iter [00:35, 11.49iter/s]
Best score: 1.1284: : 371iter [00:35, 11.39iter/s]
Best score: 1.1284: : 371iter [00:36, 11.39iter/s]
Best score: 1.1284: : 372iter [00:36, 11.39iter/s]
Best score: 1.1284: : 373iter [00:36, 11.47iter/s]
Best score: 1.1284: : 373iter [00:36, 11.47iter/s]
Best score: 1.1284: : 374iter [00:36, 11.47iter/s]
Best score: 1.1284: : 375iter [00:36, 11.55iter/s]
Best score: 1.1284: : 375iter [00:36, 11.55iter/s]
Best score: 1.1284: : 376iter [00:36, 11.55iter/s]
Best score: 1.1284: : 377iter [00:36, 11.59iter/s]
Best score: 1.1284: : 377iter [00:36, 11.59iter/s]
Best score: 1.1284: : 378iter [00:36, 11.59iter/s]
Best score: 1.1284: : 379iter [00:36, 11.62iter/s]
Best score: 1.1284: : 379iter [00:36, 11.62iter/s]
Best score: 1.1284: : 380iter [00:36, 11.62iter/s]
Best score: 1.1284: : 381iter [00:36, 11.47iter/s]
Best score: 1.1284: : 381iter [00:36, 11.47iter/s]
Best score: 1.1284: : 382iter [00:36, 11.47iter/s]
Best score: 1.1284: : 383iter [00:36, 11.58iter/s]
Best score: 1.1284: : 383iter [00:37, 11.58iter/s]
Best score: 1.1284: : 384iter [00:37, 11.58iter/s]
Best score: 1.1284: : 385iter [00:37, 11.63iter/s]
Best score: 1.1284: : 385iter [00:37, 11.63iter/s]
Best score: 1.1284: : 386iter [00:37, 11.63iter/s]
Best score: 1.1284: : 387iter [00:37, 11.67iter/s]
Best score: 1.1284: : 387iter [00:37, 11.67iter/s]
Best score: 1.1284: : 388iter [00:37, 11.67iter/s]
Best score: 1.1284: : 389iter [00:37, 11.72iter/s]
Best score: 1.0075: : 389iter [00:37, 11.72iter/s]
Best score: 1.0075: : 390iter [00:37, 11.72iter/s]
Best score: 1.0075: : 391iter [00:37, 11.54iter/s]
Best score: 1.0075: : 391iter [00:37, 11.54iter/s]
Best score: 1.0075: : 392iter [00:37, 11.54iter/s]
Best score: 1.0075: : 393iter [00:37, 11.61iter/s]
Best score: 1.0075: : 393iter [00:37, 11.61iter/s]
Best score: 1.0075: : 394iter [00:37, 11.61iter/s]
Best score: 1.0075: : 395iter [00:37, 11.67iter/s]
Best score: 1.0075: : 395iter [00:38, 11.67iter/s]
Best score: 1.0075: : 396iter [00:38, 11.67iter/s]
Best score: 1.0075: : 397iter [00:38, 11.71iter/s]
Best score: 1.0075: : 397iter [00:38, 11.71iter/s]
Best score: 1.0075: : 398iter [00:38, 11.71iter/s]
Best score: 1.0075: : 399iter [00:38, 11.75iter/s]
[ITER 400] Best: 0.8300
[PARAMS] Current best parameters:
  fx: 510.8807
  fy: 510.4917
  px: 1049.7477
  py: 779.6529
  k1: 0.02435002
  k2: 0.03177912
  k3: -0.04335802
  k4: 0.01338538
  p1: 0.03964711
  p2: 0.01576656
  p3: -0.01745772
  p4: -0.00834451
  s1: 0.0276
  s2: 0.0040
  s3: 0.0028
  s4: 0.0006
  tilt_x: -0.0558
  tilt_y: -0.0232
  scale: 2.9785
  rotation: 0.2673

Best score: 0.8300: : 399iter [00:38, 11.75iter/s]
Best score: 0.8300: : 400iter [00:38, 11.75iter/s]
Best score: 0.8300: : 401iter [00:38,  7.49iter/s]
Best score: 0.8300: : 401iter [00:38,  7.49iter/s]
Best score: 0.8300: : 402iter [00:38,  7.49iter/s]
Best score: 0.8300: : 403iter [00:38,  8.39iter/s]
Best score: 0.8300: : 403iter [00:39,  8.39iter/s]
Best score: 0.8300: : 404iter [00:39,  8.39iter/s]
Best score: 0.8300: : 405iter [00:39,  9.18iter/s]
Best score: 0.8300: : 405iter [00:39,  9.18iter/s]
Best score: 0.8300: : 406iter [00:39,  9.18iter/s]
Best score: 0.8300: : 407iter [00:39,  9.82iter/s]
Best score: 0.8300: : 407iter [00:39,  9.82iter/s]
Best score: 0.8300: : 408iter [00:39,  9.82iter/s]
Best score: 0.8300: : 409iter [00:39, 10.34iter/s]
Best score: 0.7290: : 409iter [00:39, 10.34iter/s]
Best score: 0.7290: : 410iter [00:39, 10.34iter/s]
Best score: 0.7290: : 411iter [00:39, 10.57iter/s]
Best score: 0.7290: : 411iter [00:39, 10.57iter/s]
Best score: 0.7290: : 412iter [00:39, 10.57iter/s]
Best score: 0.7290: : 413iter [00:39, 10.92iter/s]
Best score: 0.7290: : 413iter [00:39, 10.92iter/s]
Best score: 0.7290: : 414iter [00:40, 10.92iter/s]
Best score: 0.7290: : 415iter [00:40, 11.16iter/s]
Best score: 0.7290: : 415iter [00:40, 11.16iter/s]
Best score: 0.7290: : 416iter [00:40, 11.16iter/s]
Best score: 0.7290: : 417iter [00:40, 11.31iter/s]
Best score: 0.7290: : 417iter [00:40, 11.31iter/s]
Best score: 0.7290: : 418iter [00:40, 11.31iter/s]
Best score: 0.7290: : 419iter [00:40, 11.45iter/s]
Best score: 0.7290: : 419iter [00:40, 11.45iter/s]
Best score: 0.7290: : 420iter [00:40, 11.45iter/s]
Best score: 0.7290: : 421iter [00:40, 11.33iter/s]
Best score: 0.7290: : 421iter [00:40, 11.33iter/s]
Best score: 0.7290: : 422iter [00:40, 11.33iter/s]
Best score: 0.7290: : 423iter [00:40, 11.47iter/s]
Best score: 0.7290: : 423iter [00:40, 11.47iter/s]
Best score: 0.7290: : 424iter [00:40, 11.47iter/s]
Best score: 0.7290: : 425iter [00:40, 11.56iter/s]
Best score: 0.7290: : 425iter [00:40, 11.56iter/s]
Best score: 0.7290: : 426iter [00:41, 11.56iter/s]
Best score: 0.7290: : 427iter [00:41, 11.64iter/s]
Best score: 0.7290: : 427iter [00:41, 11.64iter/s]
Best score: 0.7290: : 428iter [00:41, 11.64iter/s]
Best score: 0.7290: : 429iter [00:41, 11.70iter/s]
Best score: 0.6296: : 429iter [00:41, 11.70iter/s]
Best score: 0.6296: : 430iter [00:41, 11.70iter/s]
Best score: 0.6296: : 431iter [00:41, 11.50iter/s]
Best score: 0.6296: : 431iter [00:41, 11.50iter/s]
Best score: 0.6296: : 432iter [00:41, 11.50iter/s]
Best score: 0.6296: : 433iter [00:41, 11.60iter/s]
Best score: 0.6296: : 433iter [00:41, 11.60iter/s]
Best score: 0.6296: : 434iter [00:41, 11.60iter/s]
Best score: 0.6296: : 435iter [00:41, 11.62iter/s]
Best score: 0.6296: : 435iter [00:41, 11.62iter/s]
Best score: 0.6296: : 436iter [00:41, 11.62iter/s]
Best score: 0.6296: : 437iter [00:41, 11.62iter/s]
Best score: 0.6296: : 437iter [00:42, 11.62iter/s]
Best score: 0.6296: : 438iter [00:42, 11.62iter/s]
Best score: 0.6296: : 439iter [00:42, 11.69iter/s]
Best score: 0.5544: : 439iter [00:42, 11.69iter/s]
Best score: 0.5544: : 440iter [00:42, 11.69iter/s]
Best score: 0.5544: : 441iter [00:42, 11.52iter/s]
Best score: 0.5544: : 441iter [00:42, 11.52iter/s]
Best score: 0.5544: : 442iter [00:42, 11.52iter/s]
Best score: 0.5544: : 443iter [00:42, 11.61iter/s]
Best score: 0.5544: : 443iter [00:42, 11.61iter/s]
Best score: 0.5544: : 444iter [00:42, 11.61iter/s]
Best score: 0.5544: : 445iter [00:42, 11.67iter/s]
Best score: 0.5544: : 445iter [00:42, 11.67iter/s]
Best score: 0.5544: : 446iter [00:42, 11.67iter/s]
Best score: 0.5544: : 447iter [00:42, 11.71iter/s]
Best score: 0.5544: : 447iter [00:42, 11.71iter/s]
Best score: 0.5544: : 448iter [00:42, 11.71iter/s]
Best score: 0.5544: : 449iter [00:42, 11.73iter/s]
[ITER 450] Best: 0.4509
[PARAMS] Current best parameters:
  fx: 510.3260
  fy: 510.9439
  px: 1035.6855
  py: 776.3648
  k1: -0.00292364
  k2: 0.03574039
  k3: -0.01969141
  k4: 0.00304231
  p1: 0.03327305
  p2: 0.00783424
  p3: -0.02790273
  p4: -0.00480488
  s1: 0.0265
  s2: 0.0042
  s3: 0.0100
  s4: 0.0010
  tilt_x: -0.0542
  tilt_y: 0.0221
  scale: 3.0399
  rotation: 0.1795

Best score: 0.4509: : 449iter [00:43, 11.73iter/s]
Best score: 0.4509: : 450iter [00:43, 11.73iter/s]
Best score: 0.4509: : 451iter [00:43,  7.53iter/s]
Best score: 0.4509: : 451iter [00:43,  7.53iter/s]
Best score: 0.4509: : 452iter [00:43,  7.53iter/s]
Best score: 0.4509: : 453iter [00:43,  8.45iter/s]
Best score: 0.4509: : 453iter [00:43,  8.45iter/s]
Best score: 0.4509: : 454iter [00:43,  8.45iter/s]
Best score: 0.4509: : 455iter [00:43,  9.24iter/s]
Best score: 0.4509: : 455iter [00:43,  9.24iter/s]
Best score: 0.4509: : 456iter [00:43,  9.24iter/s]
Best score: 0.4509: : 457iter [00:43,  9.89iter/s]
Best score: 0.4509: : 457iter [00:44,  9.89iter/s]
Best score: 0.4509: : 458iter [00:44,  9.89iter/s]
Best score: 0.4509: : 459iter [00:44, 10.37iter/s]
Best score: 0.4392: : 459iter [00:44, 10.37iter/s]
Best score: 0.4392: : 460iter [00:44, 10.37iter/s]
Best score: 0.4392: : 461iter [00:44, 10.59iter/s]
Best score: 0.4392: : 461iter [00:44, 10.59iter/s]
Best score: 0.4392: : 462iter [00:44, 10.59iter/s]
Best score: 0.4392: : 463iter [00:44, 10.92iter/s]
Best score: 0.4392: : 463iter [00:44, 10.92iter/s]
Best score: 0.4392: : 464iter [00:44, 10.92iter/s]
Best score: 0.4392: : 465iter [00:44, 11.15iter/s]
Best score: 0.4392: : 465iter [00:44, 11.15iter/s]
Best score: 0.4392: : 466iter [00:44, 11.15iter/s]
Best score: 0.4392: : 467iter [00:44, 11.31iter/s]
Best score: 0.4392: : 467iter [00:44, 11.31iter/s]
Best score: 0.4392: : 468iter [00:44, 11.31iter/s]
Best score: 0.4392: : 469iter [00:44, 11.45iter/s]
Best score: 0.3436: : 469iter [00:45, 11.45iter/s]
Best score: 0.3436: : 470iter [00:45, 11.45iter/s]
Best score: 0.3436: : 471iter [00:45, 11.39iter/s]
Best score: 0.3436: : 471iter [00:45, 11.39iter/s]
Best score: 0.3436: : 472iter [00:45, 11.39iter/s]
Best score: 0.3436: : 473iter [00:45, 11.52iter/s]
Best score: 0.3436: : 473iter [00:45, 11.52iter/s]
Best score: 0.3436: : 474iter [00:45, 11.52iter/s]
Best score: 0.3436: : 475iter [00:45, 11.60iter/s]
Best score: 0.3436: : 475iter [00:45, 11.60iter/s]
Best score: 0.3436: : 476iter [00:45, 11.60iter/s]
Best score: 0.3436: : 477iter [00:45, 11.65iter/s]
Best score: 0.3436: : 477iter [00:45, 11.65iter/s]
Best score: 0.3436: : 478iter [00:45, 11.65iter/s]
Best score: 0.3436: : 479iter [00:45, 11.70iter/s]
Best score: 0.2707: : 479iter [00:45, 11.70iter/s]
Best score: 0.2707: : 480iter [00:46, 11.70iter/s]
Best score: 0.2707: : 481iter [00:46, 11.52iter/s]
Best score: 0.2707: : 481iter [00:46, 11.52iter/s]
Best score: 0.2707: : 482iter [00:46, 11.52iter/s]
Best score: 0.2707: : 483iter [00:46, 11.56iter/s]
Best score: 0.2707: : 483iter [00:46, 11.56iter/s]
Best score: 0.2707: : 484iter [00:46, 11.56iter/s]
Best score: 0.2707: : 485iter [00:46, 11.63iter/s]
Best score: 0.2707: : 485iter [00:46, 11.63iter/s]
Best score: 0.2707: : 486iter [00:46, 11.63iter/s]
Best score: 0.2707: : 487iter [00:46, 11.69iter/s]
Best score: 0.2707: : 487iter [00:46, 11.69iter/s]
Best score: 0.2707: : 488iter [00:46, 11.69iter/s]
Best score: 0.2707: : 489iter [00:46, 11.71iter/s]
Best score: 0.2671: : 489iter [00:46, 11.71iter/s]
Best score: 0.2671: : 490iter [00:46, 11.71iter/s]
Best score: 0.2671: : 491iter [00:46, 11.54iter/s]
Best score: 0.2671: : 491iter [00:46, 11.54iter/s]
Best score: 0.2671: : 492iter [00:47, 11.54iter/s]
Best score: 0.2671: : 493iter [00:47, 11.62iter/s]
Best score: 0.2671: : 493iter [00:47, 11.62iter/s]
Best score: 0.2671: : 494iter [00:47, 11.62iter/s]
Best score: 0.2671: : 495iter [00:47, 11.67iter/s]
Best score: 0.2671: : 495iter [00:47, 11.67iter/s]
Best score: 0.2671: : 496iter [00:47, 11.67iter/s]
Best score: 0.2671: : 497iter [00:47, 11.63iter/s]
Best score: 0.2671: : 497iter [00:47, 11.63iter/s]
Best score: 0.2671: : 498iter [00:47, 11.63iter/s]
Best score: 0.2671: : 499iter [00:47, 11.68iter/s]
[ITER 500] Best: 0.2335
[PARAMS] Current best parameters:
  fx: 526.7370
  fy: 526.6053
  px: 1030.7177
  py: 760.9489
  k1: -0.01181893
  k2: 0.03327821
  k3: -0.02306963
  k4: 0.00489593
  p1: -0.00166175
  p2: 0.01110380
  p3: -0.04335179
  p4: 0.01180477
  s1: 0.0308
  s2: -0.0106
  s3: 0.0437
  s4: -0.0122
  tilt_x: -0.0574
  tilt_y: 0.0512
  scale: 3.0226
  rotation: 0.2717

Best score: 0.2335: : 499iter [00:47, 11.68iter/s]
Best score: 0.2335: : 500iter [00:48, 11.68iter/s]
Best score: 0.2335: : 501iter [00:48,  7.51iter/s]
Best score: 0.2335: : 501iter [00:48,  7.51iter/s]
Best score: 0.2335: : 502iter [00:48,  7.51iter/s]
Best score: 0.2335: : 503iter [00:48,  8.42iter/s]
Best score: 0.2335: : 503iter [00:48,  8.42iter/s]
Best score: 0.2335: : 504iter [00:48,  8.42iter/s]
Best score: 0.2335: : 505iter [00:48,  9.19iter/s]
Best score: 0.2335: : 505iter [00:48,  9.19iter/s]
Best score: 0.2335: : 506iter [00:48,  9.19iter/s]
Best score: 0.2335: : 507iter [00:48,  9.81iter/s]
Best score: 0.2335: : 507iter [00:48,  9.81iter/s]
Best score: 0.2335: : 508iter [00:48,  9.81iter/s]
Best score: 0.2335: : 509iter [00:48, 10.27iter/s]
Best score: 0.2335: : 509iter [00:48, 10.27iter/s]
Best score: 0.2335: : 510iter [00:48, 10.27iter/s]
Best score: 0.2335: : 511iter [00:48, 10.51iter/s]
Best score: 0.2335: : 511iter [00:48, 10.51iter/s]
Best score: 0.2335: : 512iter [00:49, 10.51iter/s]
Best score: 0.2335: : 513iter [00:49, 10.88iter/s]
Best score: 0.2335: : 513iter [00:49, 10.88iter/s]
Best score: 0.2335: : 514iter [00:49, 10.88iter/s]
Best score: 0.2335: : 515iter [00:49, 11.13iter/s]
Best score: 0.2335: : 515iter [00:49, 11.13iter/s]
Best score: 0.2335: : 516iter [00:49, 11.13iter/s]
Best score: 0.2335: : 517iter [00:49, 11.33iter/s]
Best score: 0.2335: : 517iter [00:49, 11.33iter/s]
Best score: 0.2335: : 518iter [00:49, 11.33iter/s]
Best score: 0.2335: : 519iter [00:49, 11.45iter/s]
Best score: 0.2335: : 519iter [00:49, 11.45iter/s]
Best score: 0.2335: : 520iter [00:49, 11.45iter/s]
Best score: 0.2335: : 521iter [00:49, 11.37iter/s]
Best score: 0.2335: : 521iter [00:49, 11.37iter/s]
Best score: 0.2335: : 522iter [00:49, 11.37iter/s]
Best score: 0.2335: : 523iter [00:49, 11.50iter/s]
Best score: 0.2335: : 523iter [00:50, 11.50iter/s]
Best score: 0.2335: : 524iter [00:50, 11.50iter/s]
Best score: 0.2335: : 525iter [00:50, 11.58iter/s]
Best score: 0.2335: : 525iter [00:50, 11.58iter/s]
Best score: 0.2335: : 526iter [00:50, 11.58iter/s]
Best score: 0.2335: : 527iter [00:50, 11.65iter/s]
Best score: 0.2335: : 527iter [00:50, 11.65iter/s]
Best score: 0.2335: : 528iter [00:50, 11.65iter/s]
Best score: 0.2335: : 529iter [00:50, 11.69iter/s]
Best score: 0.2230: : 529iter [00:50, 11.69iter/s]
Best score: 0.2230: : 530iter [00:50, 11.69iter/s]
Best score: 0.2230: : 531iter [00:50, 11.50iter/s]
Best score: 0.2230: : 531iter [00:50, 11.50iter/s]
Best score: 0.2230: : 532iter [00:50, 11.50iter/s]
Best score: 0.2230: : 533iter [00:50, 11.55iter/s]
Best score: 0.2230: : 533iter [00:50, 11.55iter/s]
Best score: 0.2230: : 534iter [00:50, 11.55iter/s]
Best score: 0.2230: : 535iter [00:50, 11.62iter/s]
Best score: 0.2230: : 535iter [00:51, 11.62iter/s]
Best score: 0.2230: : 536iter [00:51, 11.62iter/s]
Best score: 0.2230: : 537iter [00:51, 11.65iter/s]
Best score: 0.2230: : 537iter [00:51, 11.65iter/s]
Best score: 0.2230: : 538iter [00:51, 11.65iter/s]
Best score: 0.2230: : 539iter [00:51, 11.70iter/s]
Best score: 0.2200: : 539iter [00:51, 11.70iter/s]
Best score: 0.2200: : 540iter [00:51, 11.70iter/s]
Best score: 0.2200: : 541iter [00:51, 11.53iter/s]
Best score: 0.2200: : 541iter [00:51, 11.53iter/s]
Best score: 0.2200: : 542iter [00:51, 11.53iter/s]
Best score: 0.2200: : 543iter [00:51, 11.58iter/s]
Best score: 0.2200: : 543iter [00:51, 11.58iter/s]
Best score: 0.2200: : 544iter [00:51, 11.58iter/s]
Best score: 0.2200: : 545iter [00:51, 11.65iter/s]
Best score: 0.2200: : 545iter [00:51, 11.65iter/s]
Best score: 0.2200: : 546iter [00:51, 11.65iter/s]
Best score: 0.2200: : 547iter [00:51, 11.62iter/s]
Best score: 0.2200: : 547iter [00:52, 11.62iter/s]
Best score: 0.2200: : 548iter [00:52, 11.62iter/s]
Best score: 0.2200: : 549iter [00:52, 11.67iter/s]
[ITER 550] Best: 0.2200
[PARAMS] Current best parameters:
  fx: 527.2973
  fy: 527.3209
  px: 1032.4438
  py: 761.9283
  k1: -0.00326415
  k2: 0.02156221
  k3: -0.01819558
  k4: 0.00432046
  p1: 0.00086631
  p2: 0.01081163
  p3: -0.04303468
  p4: 0.01081001
  s1: 0.0325
  s2: -0.0099
  s3: 0.0403
  s4: -0.0112
  tilt_x: -0.0567
  tilt_y: 0.0436
  scale: 3.0120
  rotation: 0.2941

Best score: 0.2200: : 549iter [00:52, 11.67iter/s]
Best score: 0.2200: : 550iter [00:52, 11.67iter/s]
Best score: 0.2200: : 551iter [00:52,  7.49iter/s]
Best score: 0.2200: : 551iter [00:52,  7.49iter/s]
Best score: 0.2200: : 552iter [00:52,  7.49iter/s]
Best score: 0.2200: : 553iter [00:52,  8.40iter/s]
Best score: 0.2200: : 553iter [00:52,  8.40iter/s]
Best score: 0.2200: : 554iter [00:52,  8.40iter/s]
Best score: 0.2200: : 555iter [00:52,  9.19iter/s]
Best score: 0.2200: : 555iter [00:53,  9.19iter/s]
Best score: 0.2200: : 556iter [00:53,  9.19iter/s]
Best score: 0.2200: : 557iter [00:53,  9.84iter/s]
Best score: 0.2200: : 557iter [00:53,  9.84iter/s]
Best score: 0.2200: : 558iter [00:53,  9.84iter/s]
Best score: 0.2200: : 559iter [00:53, 10.36iter/s]
Best score: 0.2200: : 559iter [00:53, 10.36iter/s]
Best score: 0.2200: : 560iter [00:53, 10.36iter/s]
Best score: 0.2200: : 561iter [00:53, 10.57iter/s]
Best score: 0.2200: : 561iter [00:53, 10.57iter/s]
Best score: 0.2200: : 562iter [00:53, 10.57iter/s]
Best score: 0.2200: : 563iter [00:53, 10.92iter/s]
Best score: 0.2200: : 563iter [00:53, 10.92iter/s]
Best score: 0.2200: : 564iter [00:53, 10.92iter/s]
Best score: 0.2200: : 565iter [00:53, 11.18iter/s]
Best score: 0.2200: : 565iter [00:53, 11.18iter/s]
Best score: 0.2200: : 566iter [00:54, 11.18iter/s]
Best score: 0.2200: : 567iter [00:54, 11.35iter/s]
Best score: 0.2200: : 567iter [00:54, 11.35iter/s]
Best score: 0.2200: : 568iter [00:54, 11.35iter/s]
Best score: 0.2200: : 569iter [00:54, 11.47iter/s]
Best score: 0.2055: : 569iter [00:54, 11.47iter/s]
Best score: 0.2055: : 570iter [00:54, 11.47iter/s]
Best score: 0.2055: : 571iter [00:54, 11.38iter/s]
Best score: 0.2055: : 571iter [00:54, 11.38iter/s]
Best score: 0.2055: : 572iter [00:54, 11.38iter/s]
Best score: 0.2055: : 573iter [00:54, 11.51iter/s]
Best score: 0.2055: : 573iter [00:54, 11.51iter/s]
Best score: 0.2055: : 574iter [00:54, 11.51iter/s]
Best score: 0.2055: : 575iter [00:54, 11.59iter/s]
Best score: 0.2055: : 575iter [00:54, 11.59iter/s]
Best score: 0.2055: : 576iter [00:54, 11.59iter/s]
Best score: 0.2055: : 577iter [00:54, 11.62iter/s]
Best score: 0.2055: : 577iter [00:54, 11.62iter/s]
Best score: 0.2055: : 578iter [00:55, 11.62iter/s]
Best score: 0.2055: : 579iter [00:55, 11.67iter/s]
Best score: 0.2055: : 579iter [00:55, 11.67iter/s]
Best score: 0.2055: : 580iter [00:55, 11.67iter/s]
Best score: 0.2055: : 581iter [00:55, 11.50iter/s]
Best score: 0.2055: : 581iter [00:55, 11.50iter/s]
Best score: 0.2055: : 582iter [00:55, 11.50iter/s]
Best score: 0.2055: : 583iter [00:55, 11.52iter/s]
Best score: 0.2055: : 583iter [00:55, 11.52iter/s]
Best score: 0.2055: : 584iter [00:55, 11.52iter/s]
Best score: 0.2055: : 585iter [00:55, 11.58iter/s]
Best score: 0.2055: : 585iter [00:55, 11.58iter/s]
Best score: 0.2055: : 586iter [00:55, 11.58iter/s]
Best score: 0.2055: : 587iter [00:55, 11.65iter/s]
Best score: 0.2055: : 587iter [00:55, 11.65iter/s]
Best score: 0.2055: : 588iter [00:55, 11.65iter/s]
Best score: 0.2055: : 589iter [00:55, 11.70iter/s]
Best score: 0.2023: : 589iter [00:56, 11.70iter/s]
Best score: 0.2023: : 590iter [00:56, 11.70iter/s]
Best score: 0.2023: : 591iter [00:56, 11.52iter/s]
Best score: 0.2023: : 591iter [00:56, 11.52iter/s]
Best score: 0.2023: : 592iter [00:56, 11.52iter/s]
Best score: 0.2023: : 593iter [00:56, 11.61iter/s]
Best score: 0.2023: : 593iter [00:56, 11.61iter/s]
Best score: 0.2023: : 594iter [00:56, 11.61iter/s]
Best score: 0.2023: : 595iter [00:56, 11.66iter/s]
Best score: 0.2023: : 595iter [00:56, 11.66iter/s]
Best score: 0.2023: : 596iter [00:56, 11.66iter/s]
Best score: 0.2023: : 597iter [00:56, 11.70iter/s]
Best score: 0.2023: : 597iter [00:56, 11.70iter/s]
Best score: 0.2023: : 598iter [00:56, 11.70iter/s]
Best score: 0.2023: : 599iter [00:56, 11.72iter/s]
[ITER 600] Best: 0.2023
[PARAMS] Current best parameters:
  fx: 528.7496
  fy: 528.7486
  px: 1031.4725
  py: 761.3231
  k1: -0.00063131
  k2: 0.00871278
  k3: -0.00677524
  k4: 0.00124243
  p1: -0.00077519
  p2: 0.01076937
  p3: -0.04773553
  p4: 0.01158663
  s1: 0.0406
  s2: -0.0142
  s3: 0.0474
  s4: -0.0127
  tilt_x: -0.0574
  tilt_y: 0.0481
  scale: 3.0138
  rotation: 0.2977

Best score: 0.2023: : 599iter [00:56, 11.72iter/s]
Best score: 0.2023: : 600iter [00:57, 11.72iter/s]
Best score: 0.2023: : 601iter [00:57,  7.51iter/s]
Best score: 0.2023: : 601iter [00:57,  7.51iter/s]
Best score: 0.2023: : 602iter [00:57,  7.51iter/s]
Best score: 0.2023: : 603iter [00:57,  8.41iter/s]
Best score: 0.2023: : 603iter [00:57,  8.41iter/s]
Best score: 0.2023: : 604iter [00:57,  8.41iter/s]
Best score: 0.2023: : 605iter [00:57,  9.18iter/s]
Best score: 0.2023: : 605iter [00:57,  9.18iter/s]
Best score: 0.2023: : 606iter [00:57,  9.18iter/s]
Best score: 0.2023: : 607iter [00:57,  9.83iter/s]
Best score: 0.2023: : 607iter [00:57,  9.83iter/s]
Best score: 0.2023: : 608iter [00:57,  9.83iter/s]
Best score: 0.2023: : 609iter [00:57, 10.35iter/s]
Best score: 0.1916: : 609iter [00:58, 10.35iter/s]
Best score: 0.1916: : 610iter [00:58, 10.35iter/s]
Best score: 0.1916: : 611iter [00:58, 10.58iter/s]
Best score: 0.1916: : 611iter [00:58, 10.58iter/s]
Best score: 0.1916: : 612iter [00:58, 10.58iter/s]
Best score: 0.1916: : 613iter [00:58, 10.91iter/s]
Best score: 0.1916: : 613iter [00:58, 10.91iter/s]
Best score: 0.1916: : 614iter [00:58, 10.91iter/s]
Best score: 0.1916: : 615iter [00:58, 11.16iter/s]
Best score: 0.1916: : 615iter [00:58, 11.16iter/s]
Best score: 0.1916: : 616iter [00:58, 11.16iter/s]
Best score: 0.1916: : 617iter [00:58, 11.30iter/s]
Best score: 0.1916: : 617iter [00:58, 11.30iter/s]
Best score: 0.1916: : 618iter [00:58, 11.30iter/s]
Best score: 0.1916: : 619iter [00:58, 11.35iter/s]
Best score: 0.1866: : 619iter [00:58, 11.35iter/s]
Best score: 0.1866: : 620iter [00:58, 11.35iter/s]
Best score: 0.1866: : 621iter [00:58, 11.29iter/s]
Best score: 0.1866: : 621iter [00:59, 11.29iter/s]
Best score: 0.1866: : 622iter [00:59, 11.29iter/s]
Best score: 0.1866: : 623iter [00:59, 11.42iter/s]
Best score: 0.1866: : 623iter [00:59, 11.42iter/s]
Best score: 0.1866: : 624iter [00:59, 11.42iter/s]
Best score: 0.1866: : 625iter [00:59, 11.54iter/s]
Best score: 0.1866: : 625iter [00:59, 11.54iter/s]
Best score: 0.1866: : 626iter [00:59, 11.54iter/s]
Best score: 0.1866: : 627iter [00:59, 11.62iter/s]
Best score: 0.1866: : 627iter [00:59, 11.62iter/s]
Best score: 0.1866: : 628iter [00:59, 11.62iter/s]
Best score: 0.1866: : 629iter [00:59, 11.68iter/s]
Best score: 0.1866: : 629iter [00:59, 11.68iter/s]
Best score: 0.1866: : 630iter [00:59, 11.68iter/s]
Best score: 0.1866: : 631iter [00:59, 11.52iter/s]
Best score: 0.1866: : 631iter [00:59, 11.52iter/s]
Best score: 0.1866: : 632iter [01:00, 11.52iter/s]
Best score: 0.1866: : 633iter [01:00, 11.61iter/s]
Best score: 0.1866: : 633iter [01:00, 11.61iter/s]
Best score: 0.1866: : 634iter [01:00, 11.61iter/s]
Best score: 0.1866: : 635iter [01:00, 11.62iter/s]
Best score: 0.1866: : 635iter [01:00, 11.62iter/s]
Best score: 0.1866: : 636iter [01:00, 11.62iter/s]
Best score: 0.1866: : 637iter [01:00, 11.68iter/s]
Best score: 0.1866: : 637iter [01:00, 11.68iter/s]
Best score: 0.1866: : 638iter [01:00, 11.68iter/s]
Best score: 0.1866: : 639iter [01:00, 11.72iter/s]
Best score: 0.1866: : 639iter [01:00, 11.72iter/s]
Best score: 0.1866: : 640iter [01:00, 11.72iter/s]
Best score: 0.1866: : 641iter [01:00, 11.50iter/s]
Best score: 0.1866: : 641iter [01:00, 11.50iter/s]
Best score: 0.1866: : 642iter [01:00, 11.50iter/s]
Best score: 0.1866: : 643iter [01:00, 11.58iter/s]
Best score: 0.1866: : 643iter [01:00, 11.58iter/s]
Best score: 0.1866: : 644iter [01:01, 11.58iter/s]
Best score: 0.1866: : 645iter [01:01, 11.65iter/s]
Best score: 0.1866: : 645iter [01:01, 11.65iter/s]
Best score: 0.1866: : 646iter [01:01, 11.65iter/s]
Best score: 0.1866: : 647iter [01:01, 11.70iter/s]
Best score: 0.1866: : 647iter [01:01, 11.70iter/s]
Best score: 0.1866: : 648iter [01:01, 11.70iter/s]
Best score: 0.1866: : 649iter [01:01, 11.74iter/s]
[ITER 650] Best: 0.1866
[PARAMS] Current best parameters:
  fx: 527.6563
  fy: 527.8189
  px: 1031.3575
  py: 761.1879
  k1: -0.00293778
  k2: 0.01568347
  k3: -0.01135162
  k4: 0.00216841
  p1: -0.00068618
  p2: 0.00901492
  p3: -0.04665884
  p4: 0.01215159
  s1: 0.0392
  s2: -0.0136
  s3: 0.0436
  s4: -0.0117
  tilt_x: -0.0574
  tilt_y: 0.0445
  scale: 3.0128
  rotation: 0.2609

Best score: 0.1866: : 649iter [01:01, 11.74iter/s]
Best score: 0.1866: : 650iter [01:01, 11.74iter/s]
Best score: 0.1866: : 651iter [01:01,  7.53iter/s]
Best score: 0.1866: : 651iter [01:01,  7.53iter/s]
Best score: 0.1866: : 652iter [01:02,  7.53iter/s]
Best score: 0.1866: : 653iter [01:02,  8.45iter/s]
Best score: 0.1866: : 653iter [01:02,  8.45iter/s]
Best score: 0.1866: : 654iter [01:02,  8.45iter/s]
Best score: 0.1866: : 655iter [01:02,  9.23iter/s]
Best score: 0.1866: : 655iter [01:02,  9.23iter/s]
Best score: 0.1866: : 656iter [01:02,  9.23iter/s]
Best score: 0.1866: : 657iter [01:02,  9.83iter/s]
Best score: 0.1866: : 657iter [01:02,  9.83iter/s]
Best score: 0.1866: : 658iter [01:02,  9.83iter/s]
Best score: 0.1866: : 659iter [01:02, 10.34iter/s]
Best score: 0.1866: : 659iter [01:02, 10.34iter/s]
Best score: 0.1866: : 660iter [01:02, 10.34iter/s]
Best score: 0.1866: : 661iter [01:02, 10.57iter/s]
Best score: 0.1866: : 661iter [01:02, 10.57iter/s]
Best score: 0.1866: : 662iter [01:02, 10.57iter/s]
Best score: 0.1866: : 663iter [01:02, 10.90iter/s]
Best score: 0.1866: : 663iter [01:02, 10.90iter/s]
Best score: 0.1866: : 664iter [01:03, 10.90iter/s]
Best score: 0.1866: : 665iter [01:03, 11.15iter/s]
Best score: 0.1866: : 665iter [01:03, 11.15iter/s]
Best score: 0.1866: : 666iter [01:03, 11.15iter/s]
Best score: 0.1866: : 667iter [01:03, 11.33iter/s]
Best score: 0.1866: : 667iter [01:03, 11.33iter/s]
Best score: 0.1866: : 668iter [01:03, 11.33iter/s]
Best score: 0.1866: : 669iter [01:03, 11.45iter/s]
Best score: 0.1814: : 669iter [01:03, 11.45iter/s]
Best score: 0.1814: : 670iter [01:03, 11.45iter/s]
Best score: 0.1814: : 671iter [01:03, 11.31iter/s]
Best score: 0.1814: : 671iter [01:03, 11.31iter/s]
Best score: 0.1814: : 672iter [01:03, 11.31iter/s]
Best score: 0.1814: : 673iter [01:03, 11.41iter/s]
Best score: 0.1814: : 673iter [01:03, 11.41iter/s]
Best score: 0.1814: : 674iter [01:03, 11.41iter/s]
Best score: 0.1814: : 675iter [01:03, 11.53iter/s]
Best score: 0.1814: : 675iter [01:04, 11.53iter/s]
Best score: 0.1814: : 676iter [01:04, 11.53iter/s]
Best score: 0.1814: : 677iter [01:04, 11.60iter/s]
Best score: 0.1814: : 677iter [01:04, 11.60iter/s]
Best score: 0.1814: : 678iter [01:04, 11.60iter/s]
Best score: 0.1814: : 679iter [01:04, 11.65iter/s]
Best score: 0.1808: : 679iter [01:04, 11.65iter/s]
Best score: 0.1808: : 680iter [01:04, 11.65iter/s]
Best score: 0.1808: : 681iter [01:04, 11.49iter/s]
Best score: 0.1808: : 681iter [01:04, 11.49iter/s]
Best score: 0.1808: : 682iter [01:04, 11.49iter/s]
Best score: 0.1808: : 683iter [01:04, 11.57iter/s]
Best score: 0.1808: : 683iter [01:04, 11.57iter/s]
Best score: 0.1808: : 684iter [01:04, 11.57iter/s]
Best score: 0.1808: : 685iter [01:04, 11.58iter/s]
Best score: 0.1808: : 685iter [01:04, 11.58iter/s]
Best score: 0.1808: : 686iter [01:04, 11.58iter/s]
Best score: 0.1808: : 687iter [01:04, 11.59iter/s]
Best score: 0.1808: : 687iter [01:05, 11.59iter/s]
Best score: 0.1808: : 688iter [01:05, 11.59iter/s]
Best score: 0.1808: : 689iter [01:05, 11.59iter/s]
Best score: 0.1786: : 689iter [01:05, 11.59iter/s]
Best score: 0.1786: : 690iter [01:05, 11.59iter/s]
Best score: 0.1786: : 691iter [01:05, 11.46iter/s]
Best score: 0.1786: : 691iter [01:05, 11.46iter/s]
Best score: 0.1786: : 692iter [01:05, 11.46iter/s]
Best score: 0.1786: : 693iter [01:05, 11.50iter/s]
Best score: 0.1786: : 693iter [01:05, 11.50iter/s]
Best score: 0.1786: : 694iter [01:05, 11.50iter/s]
Best score: 0.1786: : 695iter [01:05, 11.55iter/s]
Best score: 0.1786: : 695iter [01:05, 11.55iter/s]
Best score: 0.1786: : 696iter [01:05, 11.55iter/s]
Best score: 0.1786: : 697iter [01:05, 11.62iter/s]
Best score: 0.1786: : 697iter [01:05, 11.62iter/s]
Best score: 0.1786: : 698iter [01:05, 11.62iter/s]
Best score: 0.1786: : 699iter [01:05, 11.67iter/s]
[ITER 700] Best: 0.1786
[PARAMS] Current best parameters:
  fx: 529.1298
  fy: 529.2141
  px: 1033.1049
  py: 760.5403
  k1: -0.00319594
  k2: 0.01322040
  k3: -0.00957283
  k4: 0.00177130
  p1: -0.00245689
  p2: 0.00999348
  p3: -0.04903729
  p4: 0.01403929
  s1: 0.0434
  s2: -0.0161
  s3: 0.0483
  s4: -0.0141
  tilt_x: -0.0580
  tilt_y: 0.0388
  scale: 3.0103
  rotation: 0.2916

Best score: 0.1786: : 699iter [01:06, 11.67iter/s]
Best score: 0.1786: : 700iter [01:06, 11.67iter/s]
Best score: 0.1786: : 701iter [01:06,  7.52iter/s]
Best score: 0.1786: : 701iter [01:06,  7.52iter/s]
Best score: 0.1786: : 702iter [01:06,  7.52iter/s]
Best score: 0.1786: : 703iter [01:06,  8.42iter/s]
Best score: 0.1786: : 703iter [01:06,  8.42iter/s]
Best score: 0.1786: : 704iter [01:06,  8.42iter/s]
Best score: 0.1786: : 705iter [01:06,  9.20iter/s]
Best score: 0.1786: : 705iter [01:06,  9.20iter/s]
Best score: 0.1786: : 706iter [01:06,  9.20iter/s]
Best score: 0.1786: : 707iter [01:06,  9.84iter/s]
Best score: 0.1786: : 707iter [01:07,  9.84iter/s]
Best score: 0.1786: : 708iter [01:07,  9.84iter/s]
Best score: 0.1786: : 709iter [01:07, 10.36iter/s]
Best score: 0.1786: : 709iter [01:07, 10.36iter/s]
Best score: 0.1786: : 710iter [01:07, 10.36iter/s]
Best score: 0.1786: : 711iter [01:07, 10.58iter/s]
Best score: 0.1786: : 711iter [01:07, 10.58iter/s]
Best score: 0.1786: : 712iter [01:07, 10.58iter/s]
Best score: 0.1786: : 713iter [01:07, 10.93iter/s]
Best score: 0.1786: : 713iter [01:07, 10.93iter/s]
Best score: 0.1786: : 714iter [01:07, 10.93iter/s]
Best score: 0.1786: : 715iter [01:07, 11.18iter/s]
Best score: 0.1786: : 715iter [01:07, 11.18iter/s]
Best score: 0.1786: : 716iter [01:07, 11.18iter/s]
Best score: 0.1786: : 717iter [01:07, 11.34iter/s]
Best score: 0.1786: : 717iter [01:07, 11.34iter/s]
Best score: 0.1786: : 718iter [01:08, 11.34iter/s]
Best score: 0.1786: : 719iter [01:08, 11.45iter/s]
Best score: 0.1747: : 719iter [01:08, 11.45iter/s]
Best score: 0.1747: : 720iter [01:08, 11.45iter/s]
Best score: 0.1747: : 721iter [01:08, 11.26iter/s]
Best score: 0.1747: : 721iter [01:08, 11.26iter/s]
Best score: 0.1747: : 722iter [01:08, 11.26iter/s]
Best score: 0.1747: : 723iter [01:08, 11.40iter/s]
Best score: 0.1747: : 723iter [01:08, 11.40iter/s]
Best score: 0.1747: : 724iter [01:08, 11.40iter/s]
Best score: 0.1747: : 725iter [01:08, 11.51iter/s]
Best score: 0.1747: : 725iter [01:08, 11.51iter/s]
Best score: 0.1747: : 726iter [01:08, 11.51iter/s]
Best score: 0.1747: : 727iter [01:08, 11.59iter/s]
Best score: 0.1747: : 727iter [01:08, 11.59iter/s]
Best score: 0.1747: : 728iter [01:08, 11.59iter/s]
Best score: 0.1747: : 729iter [01:08, 11.66iter/s]
Best score: 0.1747: : 729iter [01:08, 11.66iter/s]
Best score: 0.1747: : 730iter [01:09, 11.66iter/s]
Best score: 0.1747: : 731iter [01:09, 11.49iter/s]
Best score: 0.1747: : 731iter [01:09, 11.49iter/s]
Best score: 0.1747: : 732iter [01:09, 11.49iter/s]
Best score: 0.1747: : 733iter [01:09, 11.53iter/s]
Best score: 0.1747: : 733iter [01:09, 11.53iter/s]
Best score: 0.1747: : 734iter [01:09, 11.53iter/s]
Best score: 0.1747: : 735iter [01:09, 11.61iter/s]
Best score: 0.1747: : 735iter [01:09, 11.61iter/s]
Best score: 0.1747: : 736iter [01:09, 11.61iter/s]
Best score: 0.1747: : 737iter [01:09,  8.88iter/s]
Best score: 0.1747: : 737iter [01:09,  8.88iter/s]
Best score: 0.1747: : 738iter [01:09,  8.88iter/s]
Best score: 0.1747: : 739iter [01:09,  9.58iter/s]
Best score: 0.1747: : 739iter [01:10,  9.58iter/s]
Best score: 0.1747: : 740iter [01:10,  9.58iter/s]
Best score: 0.1747: : 741iter [01:10, 10.01iter/s]
Best score: 0.1747: : 741iter [01:10, 10.01iter/s]
Best score: 0.1747: : 742iter [01:10, 10.01iter/s]
Best score: 0.1747: : 743iter [01:10, 10.48iter/s]
Best score: 0.1747: : 743iter [01:10, 10.48iter/s]
Best score: 0.1747: : 744iter [01:10, 10.48iter/s]
Best score: 0.1747: : 745iter [01:10, 10.84iter/s]
Best score: 0.1747: : 745iter [01:10, 10.84iter/s]
Best score: 0.1747: : 746iter [01:10, 10.84iter/s]
Best score: 0.1747: : 747iter [01:10, 11.06iter/s]
Best score: 0.1747: : 747iter [01:10, 11.06iter/s]
Best score: 0.1747: : 748iter [01:10, 11.06iter/s]
Best score: 0.1747: : 749iter [01:10, 11.26iter/s]
[ITER 750] Best: 0.1747
[PARAMS] Current best parameters:
  fx: 528.5808
  fy: 528.8345
  px: 1032.8619
  py: 759.9764
  k1: 0.00404621
  k2: 0.00080805
  k3: -0.00120155
  k4: -0.00022460
  p1: -0.00287533
  p2: 0.00791324
  p3: -0.04838763
  p4: 0.01496632
  s1: 0.0453
  s2: -0.0175
  s3: 0.0466
  s4: -0.0145
  tilt_x: -0.0596
  tilt_y: 0.0358
  scale: 3.0053
  rotation: 0.2767

Best score: 0.1747: : 749iter [01:10, 11.26iter/s]
Best score: 0.1747: : 750iter [01:11, 11.26iter/s]
Best score: 0.1747: : 751iter [01:11,  7.40iter/s]
Best score: 0.1747: : 751iter [01:11,  7.40iter/s]
Best score: 0.1747: : 752iter [01:11,  7.40iter/s]
Best score: 0.1747: : 753iter [01:11,  8.33iter/s]
Best score: 0.1747: : 753iter [01:11,  8.33iter/s]
Best score: 0.1747: : 754iter [01:11,  8.33iter/s]
Best score: 0.1747: : 755iter [01:11,  9.14iter/s]
Best score: 0.1747: : 755iter [01:11,  9.14iter/s]
Best score: 0.1747: : 756iter [01:11,  9.14iter/s]
Best score: 0.1747: : 757iter [01:11,  9.79iter/s]
Best score: 0.1747: : 757iter [01:11,  9.79iter/s]
Best score: 0.1747: : 758iter [01:11,  9.79iter/s]
Best score: 0.1747: : 759iter [01:11, 10.31iter/s]
Best score: 0.1736: : 759iter [01:12, 10.31iter/s]
Best score: 0.1736: : 760iter [01:12, 10.31iter/s]
Best score: 0.1736: : 761iter [01:12, 10.55iter/s]
Best score: 0.1736: : 761iter [01:12, 10.55iter/s]
Best score: 0.1736: : 762iter [01:12, 10.55iter/s]
Best score: 0.1736: : 763iter [01:12, 10.90iter/s]
Best score: 0.1736: : 763iter [01:12, 10.90iter/s]
Best score: 0.1736: : 764iter [01:12, 10.90iter/s]
Best score: 0.1736: : 765iter [01:12, 11.15iter/s]
Best score: 0.1736: : 765iter [01:12, 11.15iter/s]
Best score: 0.1736: : 766iter [01:12, 11.15iter/s]
Best score: 0.1736: : 767iter [01:12, 11.28iter/s]
Best score: 0.1736: : 767iter [01:12, 11.28iter/s]
Best score: 0.1736: : 768iter [01:12, 11.28iter/s]
Best score: 0.1736: : 769iter [01:12, 11.43iter/s]
Best score: 0.1719: : 769iter [01:12, 11.43iter/s]
Best score: 0.1719: : 770iter [01:12, 11.43iter/s]
Best score: 0.1719: : 771iter [01:12, 11.33iter/s]
Best score: 0.1719: : 771iter [01:13, 11.33iter/s]
Best score: 0.1719: : 772iter [01:13, 11.33iter/s]
Best score: 0.1719: : 773iter [01:13, 11.47iter/s]
Best score: 0.1719: : 773iter [01:13, 11.47iter/s]
Best score: 0.1719: : 774iter [01:13, 11.47iter/s]
Best score: 0.1719: : 775iter [01:13, 11.57iter/s]
Best score: 0.1719: : 775iter [01:13, 11.57iter/s]
Best score: 0.1719: : 776iter [01:13, 11.57iter/s]
Best score: 0.1719: : 777iter [01:13, 11.62iter/s]
Best score: 0.1719: : 777iter [01:13, 11.62iter/s]
Best score: 0.1719: : 778iter [01:13, 11.62iter/s]
Best score: 0.1719: : 779iter [01:13, 11.61iter/s]
Best score: 0.1714: : 779iter [01:13, 11.61iter/s]
Best score: 0.1714: : 780iter [01:13, 11.61iter/s]
Best score: 0.1714: : 781iter [01:13, 11.47iter/s]
Best score: 0.1714: : 781iter [01:13, 11.47iter/s]
Best score: 0.1714: : 782iter [01:14, 11.47iter/s]
Best score: 0.1714: : 783iter [01:14, 11.58iter/s]
Best score: 0.1714: : 783iter [01:14, 11.58iter/s]
Best score: 0.1714: : 784iter [01:14, 11.58iter/s]
Best score: 0.1714: : 785iter [01:14, 11.64iter/s]
Best score: 0.1714: : 785iter [01:14, 11.64iter/s]
Best score: 0.1714: : 786iter [01:14, 11.64iter/s]
Best score: 0.1714: : 787iter [01:14, 11.69iter/s]
Best score: 0.1714: : 787iter [01:14, 11.69iter/s]
Best score: 0.1714: : 788iter [01:14, 11.69iter/s]
Best score: 0.1714: : 789iter [01:14, 11.73iter/s]
Best score: 0.1714: : 789iter [01:14, 11.73iter/s]
Best score: 0.1714: : 790iter [01:14, 11.73iter/s]
Best score: 0.1714: : 791iter [01:14, 11.53iter/s]
Best score: 0.1714: : 791iter [01:14, 11.53iter/s]
Best score: 0.1714: : 792iter [01:14, 11.53iter/s]
Best score: 0.1714: : 793iter [01:14, 11.61iter/s]
Best score: 0.1714: : 793iter [01:14, 11.61iter/s]
Best score: 0.1714: : 794iter [01:15, 11.61iter/s]
Best score: 0.1714: : 795iter [01:15, 11.61iter/s]
Best score: 0.1714: : 795iter [01:15, 11.61iter/s]
Best score: 0.1714: : 796iter [01:15, 11.61iter/s]
Best score: 0.1714: : 797iter [01:15, 11.66iter/s]
Best score: 0.1714: : 797iter [01:15, 11.66iter/s]
Best score: 0.1714: : 798iter [01:15, 11.66iter/s]
Best score: 0.1714: : 799iter [01:15, 11.71iter/s]
[ITER 800] Best: 0.1711
[PARAMS] Current best parameters:
  fx: 530.3415
  fy: 530.4976
  px: 1033.1440
  py: 757.6502
  k1: 0.00906804
  k2: -0.01116140
  k3: 0.00632413
  k4: -0.00181364
  p1: -0.00655885
  p2: 0.00696224
  p3: -0.04782265
  p4: 0.01572453
  s1: 0.0455
  s2: -0.0182
  s3: 0.0487
  s4: -0.0163
  tilt_x: -0.0634
  tilt_y: 0.0330
  scale: 3.0003
  rotation: 0.2841

Best score: 0.1711: : 799iter [01:15, 11.71iter/s]
Best score: 0.1711: : 800iter [01:15, 11.71iter/s]
Best score: 0.1711: : 801iter [01:15,  7.51iter/s]
Best score: 0.1711: : 801iter [01:15,  7.51iter/s]
Best score: 0.1711: : 802iter [01:16,  7.51iter/s]
Best score: 0.1711: : 803iter [01:16,  8.42iter/s]
Best score: 0.1711: : 803iter [01:16,  8.42iter/s]
Best score: 0.1711: : 804iter [01:16,  8.42iter/s]
Best score: 0.1711: : 805iter [01:16,  9.21iter/s]
Best score: 0.1711: : 805iter [01:16,  9.21iter/s]
Best score: 0.1711: : 806iter [01:16,  9.21iter/s]
Best score: 0.1711: : 807iter [01:16,  9.85iter/s]
Best score: 0.1711: : 807iter [01:16,  9.85iter/s]
Best score: 0.1711: : 808iter [01:16,  9.85iter/s]
Best score: 0.1711: : 809iter [01:16, 10.37iter/s]
Best score: 0.1705: : 809iter [01:16, 10.37iter/s]
Best score: 0.1705: : 810iter [01:16, 10.37iter/s]
Best score: 0.1705: : 811iter [01:16, 10.58iter/s]
Best score: 0.1705: : 811iter [01:16, 10.58iter/s]
Best score: 0.1705: : 812iter [01:16, 10.58iter/s]
Best score: 0.1705: : 813iter [01:16, 10.93iter/s]
Best score: 0.1705: : 813iter [01:16, 10.93iter/s]
Best score: 0.1705: : 814iter [01:17, 10.93iter/s]
Best score: 0.1705: : 815iter [01:17, 11.16iter/s]
Best score: 0.1705: : 815iter [01:17, 11.16iter/s]
Best score: 0.1705: : 816iter [01:17, 11.16iter/s]
Best score: 0.1705: : 817iter [01:17, 11.28iter/s]
Best score: 0.1705: : 817iter [01:17, 11.28iter/s]
Best score: 0.1705: : 818iter [01:17, 11.28iter/s]
Best score: 0.1705: : 819iter [01:17, 11.41iter/s]
Best score: 0.1702: : 819iter [01:17, 11.41iter/s]
Best score: 0.1702: : 820iter [01:17, 11.41iter/s]
Best score: 0.1702: : 821iter [01:17, 11.33iter/s]
Best score: 0.1702: : 821iter [01:17, 11.33iter/s]
Best score: 0.1702: : 822iter [01:17, 11.33iter/s]
Best score: 0.1702: : 823iter [01:17, 11.46iter/s]
Best score: 0.1702: : 823iter [01:17, 11.46iter/s]
Best score: 0.1702: : 824iter [01:17, 11.46iter/s]
Best score: 0.1702: : 825iter [01:17, 11.50iter/s]
Best score: 0.1702: : 825iter [01:18, 11.50iter/s]
Best score: 0.1702: : 826iter [01:18, 11.50iter/s]
Best score: 0.1702: : 827iter [01:18, 11.54iter/s]
Best score: 0.1702: : 827iter [01:18, 11.54iter/s]
Best score: 0.1702: : 828iter [01:18, 11.54iter/s]
Best score: 0.1702: : 829iter [01:18, 11.61iter/s]
Best score: 0.1702: : 829iter [01:18, 11.61iter/s]
Best score: 0.1702: : 830iter [01:18, 11.61iter/s]
Best score: 0.1702: : 831iter [01:18, 11.38iter/s]
Best score: 0.1702: : 831iter [01:18, 11.38iter/s]
Best score: 0.1702: : 832iter [01:18, 11.38iter/s]
Best score: 0.1702: : 833iter [01:18, 11.38iter/s]
Best score: 0.1702: : 833iter [01:18, 11.38iter/s]
Best score: 0.1702: : 834iter [01:18, 11.38iter/s]
Best score: 0.1702: : 835iter [01:18, 11.45iter/s]
Best score: 0.1702: : 835iter [01:18, 11.45iter/s]
Best score: 0.1702: : 836iter [01:18, 11.45iter/s]
Best score: 0.1702: : 837iter [01:18, 11.56iter/s]
Best score: 0.1702: : 837iter [01:19, 11.56iter/s]
Best score: 0.1702: : 838iter [01:19, 11.56iter/s]
Best score: 0.1702: : 839iter [01:19, 11.63iter/s]
Best score: 0.1700: : 839iter [01:19, 11.63iter/s]
Best score: 0.1700: : 840iter [01:19, 11.63iter/s]
Best score: 0.1700: : 841iter [01:19, 11.48iter/s]
Best score: 0.1700: : 841iter [01:19, 11.48iter/s]
Best score: 0.1700: : 842iter [01:19, 11.48iter/s]
Best score: 0.1700: : 843iter [01:19, 11.54iter/s]
Best score: 0.1700: : 843iter [01:19, 11.54iter/s]
Best score: 0.1700: : 844iter [01:19, 11.54iter/s]
Best score: 0.1700: : 845iter [01:19, 11.60iter/s]
Best score: 0.1700: : 845iter [01:19, 11.60iter/s]
Best score: 0.1700: : 846iter [01:19, 11.60iter/s]
Best score: 0.1700: : 847iter [01:19, 11.66iter/s]
Best score: 0.1700: : 847iter [01:19, 11.66iter/s]
Best score: 0.1700: : 848iter [01:20, 11.66iter/s]
Best score: 0.1700: : 849iter [01:20, 11.69iter/s]
[ITER 850] Best: 0.1699
[PARAMS] Current best parameters:
  fx: 530.8373
  fy: 530.9874
  px: 1033.0602
  py: 757.0653
  k1: 0.00613277
  k2: -0.00660081
  k3: 0.00319644
  k4: -0.00104558
  p1: -0.00705976
  p2: 0.00717807
  p3: -0.04827937
  p4: 0.01606784
  s1: 0.0462
  s2: -0.0189
  s3: 0.0491
  s4: -0.0165
  tilt_x: -0.0656
  tilt_y: 0.0337
  scale: 3.0020
  rotation: 0.2768

Best score: 0.1699: : 849iter [01:20, 11.69iter/s]
Best score: 0.1699: : 850iter [01:20, 11.69iter/s]
Best score: 0.1699: : 851iter [01:20,  7.52iter/s]
Best score: 0.1699: : 851iter [01:20,  7.52iter/s]
Best score: 0.1699: : 852iter [01:20,  7.52iter/s]
Best score: 0.1699: : 853iter [01:20,  8.43iter/s]
Best score: 0.1699: : 853iter [01:20,  8.43iter/s]
Best score: 0.1699: : 854iter [01:20,  8.43iter/s]
Best score: 0.1699: : 855iter [01:20,  9.20iter/s]
Best score: 0.1699: : 855iter [01:20,  9.20iter/s]
Best score: 0.1699: : 856iter [01:21,  9.20iter/s]
Best score: 0.1699: : 857iter [01:21,  9.83iter/s]
Best score: 0.1699: : 857iter [01:21,  9.83iter/s]
Best score: 0.1699: : 858iter [01:21,  9.83iter/s]
Best score: 0.1699: : 859iter [01:21, 10.35iter/s]
Best score: 0.1698: : 859iter [01:21, 10.35iter/s]
Best score: 0.1698: : 860iter [01:21, 10.35iter/s]
Best score: 0.1698: : 861iter [01:21, 10.59iter/s]
Best score: 0.1698: : 861iter [01:21, 10.59iter/s]
Best score: 0.1698: : 862iter [01:21, 10.59iter/s]
Best score: 0.1698: : 863iter [01:21, 10.93iter/s]
Best score: 0.1698: : 863iter [01:21, 10.93iter/s]
Best score: 0.1698: : 864iter [01:21, 10.93iter/s]
Best score: 0.1698: : 865iter [01:21, 11.14iter/s]
Best score: 0.1698: : 865iter [01:21, 11.14iter/s]
Best score: 0.1698: : 866iter [01:21, 11.14iter/s]
Best score: 0.1698: : 867iter [01:21, 11.32iter/s]
Best score: 0.1698: : 867iter [01:21, 11.32iter/s]
Best score: 0.1698: : 868iter [01:22, 11.32iter/s]
Best score: 0.1698: : 869iter [01:22, 11.46iter/s]
Best score: 0.1695: : 869iter [01:22, 11.46iter/s]
Best score: 0.1695: : 870iter [01:22, 11.46iter/s]
Best score: 0.1695: : 871iter [01:22, 11.34iter/s]
Best score: 0.1695: : 871iter [01:22, 11.34iter/s]
Best score: 0.1695: : 872iter [01:22, 11.34iter/s]
Best score: 0.1695: : 873iter [01:22, 11.44iter/s]
Best score: 0.1695: : 873iter [01:22, 11.44iter/s]
Best score: 0.1695: : 874iter [01:22, 11.44iter/s]
Best score: 0.1695: : 875iter [01:22, 11.55iter/s]
Best score: 0.1695: : 875iter [01:22, 11.55iter/s]
Best score: 0.1695: : 876iter [01:22, 11.55iter/s]
Best score: 0.1695: : 877iter [01:22, 11.56iter/s]
Best score: 0.1695: : 877iter [01:22, 11.56iter/s]
Best score: 0.1695: : 878iter [01:22, 11.56iter/s]
Best score: 0.1695: : 879iter [01:22, 11.63iter/s]
Best score: 0.1695: : 879iter [01:23, 11.63iter/s]
Best score: 0.1695: : 880iter [01:23, 11.63iter/s]
Best score: 0.1695: : 881iter [01:23, 11.49iter/s]
Best score: 0.1695: : 881iter [01:23, 11.49iter/s]
Best score: 0.1695: : 882iter [01:23, 11.49iter/s]
Best score: 0.1695: : 883iter [01:23, 11.57iter/s]
Best score: 0.1695: : 883iter [01:23, 11.57iter/s]
Best score: 0.1695: : 884iter [01:23, 11.57iter/s]
Best score: 0.1695: : 885iter [01:23, 11.66iter/s]
Best score: 0.1695: : 885iter [01:23, 11.66iter/s]
Best score: 0.1695: : 886iter [01:23, 11.66iter/s]
Best score: 0.1695: : 887iter [01:23, 11.70iter/s]
Best score: 0.1695: : 887iter [01:23, 11.70iter/s]
Best score: 0.1695: : 888iter [01:23, 11.70iter/s]
Best score: 0.1695: : 889iter [01:23, 11.72iter/s]
Best score: 0.1693: : 889iter [01:23, 11.72iter/s]
Best score: 0.1693: : 890iter [01:23, 11.72iter/s]
Best score: 0.1693: : 891iter [01:23, 11.43iter/s]
Best score: 0.1693: : 891iter [01:24, 11.43iter/s]
Best score: 0.1693: : 892iter [01:24, 11.43iter/s]
Best score: 0.1693: : 893iter [01:24, 11.51iter/s]
Best score: 0.1693: : 893iter [01:24, 11.51iter/s]
Best score: 0.1693: : 894iter [01:24, 11.51iter/s]
Best score: 0.1693: : 895iter [01:24, 11.60iter/s]
Best score: 0.1693: : 895iter [01:24, 11.60iter/s]
Best score: 0.1693: : 896iter [01:24, 11.60iter/s]
Best score: 0.1693: : 897iter [01:24, 11.65iter/s]
Best score: 0.1693: : 897iter [01:24, 11.65iter/s]
Best score: 0.1693: : 898iter [01:24, 11.65iter/s]
Best score: 0.1693: : 899iter [01:24, 11.69iter/s]
[ITER 900] Best: 0.1693
[PARAMS] Current best parameters:
  fx: 530.2368
  fy: 530.3660
  px: 1032.1566
  py: 757.9105
  k1: 0.00680640
  k2: -0.00643879
  k3: 0.00298124
  k4: -0.00100654
  p1: -0.00675374
  p2: 0.00604969
  p3: -0.04555554
  p4: 0.01457453
  s1: 0.0434
  s2: -0.0170
  s3: 0.0469
  s4: -0.0151
  tilt_x: -0.0619
  tilt_y: 0.0357
  scale: 3.0017
  rotation: 0.2813

Best score: 0.1693: : 899iter [01:24, 11.69iter/s]
Best score: 0.1693: : 900iter [01:25, 11.69iter/s]
Best score: 0.1693: : 901iter [01:25,  7.50iter/s]
Best score: 0.1693: : 901iter [01:25,  7.50iter/s]
Best score: 0.1693: : 902iter [01:25,  7.50iter/s]
Best score: 0.1693: : 903iter [01:25,  8.42iter/s]
Best score: 0.1693: : 903iter [01:25,  8.42iter/s]
Best score: 0.1693: : 904iter [01:25,  8.42iter/s]
Best score: 0.1693: : 905iter [01:25,  9.21iter/s]
Best score: 0.1693: : 905iter [01:25,  9.21iter/s]
Best score: 0.1693: : 906iter [01:25,  9.21iter/s]
Best score: 0.1693: : 907iter [01:25,  9.86iter/s]
Best score: 0.1693: : 907iter [01:25,  9.86iter/s]
Best score: 0.1693: : 908iter [01:25,  9.86iter/s]
Best score: 0.1693: : 909iter [01:25, 10.33iter/s]
Best score: 0.1692: : 909iter [01:25, 10.33iter/s]
Best score: 0.1692: : 910iter [01:25, 10.33iter/s]
Best score: 0.1692: : 911iter [01:25, 10.57iter/s]
Best score: 0.1692: : 911iter [01:26, 10.57iter/s]
Best score: 0.1692: : 912iter [01:26, 10.57iter/s]
Best score: 0.1692: : 913iter [01:26, 10.91iter/s]
Best score: 0.1692: : 913iter [01:26, 10.91iter/s]
Best score: 0.1692: : 914iter [01:26, 10.91iter/s]
Best score: 0.1692: : 915iter [01:26, 11.17iter/s]
Best score: 0.1692: : 915iter [01:26, 11.17iter/s]
Best score: 0.1692: : 916iter [01:26, 11.17iter/s]
Best score: 0.1692: : 917iter [01:26, 11.35iter/s]
Best score: 0.1692: : 917iter [01:26, 11.35iter/s]
Best score: 0.1692: : 918iter [01:26, 11.35iter/s]
Best score: 0.1692: : 919iter [01:26, 11.49iter/s]
Best score: 0.1690: : 919iter [01:26, 11.49iter/s]
Best score: 0.1690: : 920iter [01:26, 11.49iter/s]
Best score: 0.1690: : 921iter [01:26, 11.39iter/s]
Best score: 0.1690: : 921iter [01:26, 11.39iter/s]
Best score: 0.1690: : 922iter [01:27, 11.39iter/s]
Best score: 0.1690: : 923iter [01:27, 11.50iter/s]
Best score: 0.1690: : 923iter [01:27, 11.50iter/s]
Best score: 0.1690: : 924iter [01:27, 11.50iter/s]
Best score: 0.1690: : 925iter [01:27, 11.59iter/s]
Best score: 0.1690: : 925iter [01:27, 11.59iter/s]
Best score: 0.1690: : 926iter [01:27, 11.59iter/s]
Best score: 0.1690: : 927iter [01:27, 11.64iter/s]
Best score: 0.1690: : 927iter [01:27, 11.64iter/s]
Best score: 0.1690: : 928iter [01:27, 11.64iter/s]
Best score: 0.1690: : 929iter [01:27, 11.69iter/s]
Best score: 0.1690: : 929iter [01:27, 11.69iter/s]
Best score: 0.1690: : 930iter [01:27, 11.69iter/s]
Best score: 0.1690: : 931iter [01:27, 11.53iter/s]
Best score: 0.1690: : 931iter [01:27, 11.53iter/s]
Best score: 0.1690: : 932iter [01:27, 11.53iter/s]
Best score: 0.1690: : 933iter [01:27, 11.60iter/s]
Best score: 0.1690: : 933iter [01:27, 11.60iter/s]
Best score: 0.1690: : 934iter [01:28, 11.60iter/s]
Best score: 0.1690: : 935iter [01:28, 11.67iter/s]
Best score: 0.1690: : 935iter [01:28, 11.67iter/s]
Best score: 0.1690: : 936iter [01:28, 11.67iter/s]
Best score: 0.1690: : 937iter [01:28, 11.71iter/s]
Best score: 0.1690: : 937iter [01:28, 11.71iter/s]
Best score: 0.1690: : 938iter [01:28, 11.71iter/s]
Best score: 0.1690: : 939iter [01:28, 11.74iter/s]
Best score: 0.1687: : 939iter [01:28, 11.74iter/s]
Best score: 0.1687: : 940iter [01:28, 11.74iter/s]
Best score: 0.1687: : 941iter [01:28, 11.46iter/s]
Best score: 0.1687: : 941iter [01:28, 11.46iter/s]
Best score: 0.1687: : 942iter [01:28, 11.46iter/s]
Best score: 0.1687: : 943iter [01:28, 11.56iter/s]
Best score: 0.1687: : 943iter [01:28, 11.56iter/s]
Best score: 0.1687: : 944iter [01:28, 11.56iter/s]
Best score: 0.1687: : 945iter [01:28, 11.63iter/s]
Best score: 0.1687: : 945iter [01:28, 11.63iter/s]
Best score: 0.1687: : 946iter [01:29, 11.63iter/s]
Best score: 0.1687: : 947iter [01:29, 11.68iter/s]
Best score: 0.1687: : 947iter [01:29, 11.68iter/s]
Best score: 0.1687: : 948iter [01:29, 11.68iter/s]
Best score: 0.1687: : 949iter [01:29, 11.72iter/s]
[ITER 950] Best: 0.1687
[PARAMS] Current best parameters:
  fx: 532.0885
  fy: 532.1943
  px: 1032.7306
  py: 757.1579
  k1: 0.00435971
  k2: -0.00610972
  k3: 0.00319258
  k4: -0.00108681
  p1: -0.00866952
  p2: 0.00575339
  p3: -0.04313020
  p4: 0.01415403
  s1: 0.0422
  s2: -0.0169
  s3: 0.0456
  s4: -0.0145
  tilt_x: -0.0620
  tilt_y: 0.0326
  scale: 3.0015
  rotation: 0.2840

Best score: 0.1687: : 949iter [01:29, 11.72iter/s]
Best score: 0.1687: : 950iter [01:29, 11.72iter/s]
Best score: 0.1687: : 951iter [01:29,  7.51iter/s]
Best score: 0.1687: : 951iter [01:29,  7.51iter/s]
Best score: 0.1687: : 952iter [01:29,  7.51iter/s]
Best score: 0.1687: : 953iter [01:29,  8.42iter/s]
Best score: 0.1687: : 953iter [01:29,  8.42iter/s]
Best score: 0.1687: : 954iter [01:30,  8.42iter/s]
Best score: 0.1687: : 955iter [01:30,  9.21iter/s]
Best score: 0.1687: : 955iter [01:30,  9.21iter/s]
Best score: 0.1687: : 956iter [01:30,  9.21iter/s]
Best score: 0.1687: : 957iter [01:30,  9.86iter/s]
Best score: 0.1687: : 957iter [01:30,  9.86iter/s]
Best score: 0.1687: : 958iter [01:30,  9.86iter/s]
Best score: 0.1687: : 959iter [01:30, 10.38iter/s]
Best score: 0.1684: : 959iter [01:30, 10.38iter/s]
Best score: 0.1684: : 960iter [01:30, 10.38iter/s]
Best score: 0.1684: : 961iter [01:30, 10.59iter/s]
Best score: 0.1684: : 961iter [01:30, 10.59iter/s]
Best score: 0.1684: : 962iter [01:30, 10.59iter/s]
Best score: 0.1684: : 963iter [01:30, 10.92iter/s]
Best score: 0.1684: : 963iter [01:30, 10.92iter/s]
Best score: 0.1684: : 964iter [01:30, 10.92iter/s]
Best score: 0.1684: : 965iter [01:30, 11.18iter/s]
Best score: 0.1684: : 965iter [01:31, 11.18iter/s]
Best score: 0.1684: : 966iter [01:31, 11.18iter/s]
Best score: 0.1684: : 967iter [01:31, 11.36iter/s]
Best score: 0.1684: : 967iter [01:31, 11.36iter/s]
Best score: 0.1684: : 968iter [01:31, 11.36iter/s]
Best score: 0.1684: : 969iter [01:31, 11.49iter/s]
Best score: 0.1680: : 969iter [01:31, 11.49iter/s]
Best score: 0.1680: : 970iter [01:31, 11.49iter/s]
Best score: 0.1680: : 971iter [01:31, 11.39iter/s]
Best score: 0.1680: : 971iter [01:31, 11.39iter/s]
Best score: 0.1680: : 972iter [01:31, 11.39iter/s]
Best score: 0.1680: : 973iter [01:31, 11.51iter/s]
Best score: 0.1680: : 973iter [01:31, 11.51iter/s]
Best score: 0.1680: : 974iter [01:31, 11.51iter/s]
Best score: 0.1680: : 975iter [01:31, 11.55iter/s]
Best score: 0.1680: : 975iter [01:31, 11.55iter/s]
Best score: 0.1680: : 976iter [01:31, 11.55iter/s]
Best score: 0.1680: : 977iter [01:31, 11.63iter/s]
Best score: 0.1680: : 977iter [01:32, 11.63iter/s]
Best score: 0.1680: : 978iter [01:32, 11.63iter/s]
Best score: 0.1680: : 979iter [01:32, 11.67iter/s]
Best score: 0.1679: : 979iter [01:32, 11.67iter/s]
Best score: 0.1679: : 980iter [01:32, 11.67iter/s]
Best score: 0.1679: : 981iter [01:32, 11.51iter/s]
Best score: 0.1679: : 981iter [01:32, 11.51iter/s]
Best score: 0.1679: : 982iter [01:32, 11.51iter/s]
Best score: 0.1679: : 983iter [01:32, 11.60iter/s]
Best score: 0.1679: : 983iter [01:32, 11.60iter/s]
Best score: 0.1679: : 984iter [01:32, 11.60iter/s]
Best score: 0.1679: : 985iter [01:32, 11.64iter/s]
Best score: 0.1679: : 985iter [01:32, 11.64iter/s]
Best score: 0.1679: : 986iter [01:32, 11.64iter/s]
Best score: 0.1679: : 987iter [01:32, 11.62iter/s]
Best score: 0.1679: : 987iter [01:32, 11.62iter/s]
Best score: 0.1679: : 988iter [01:32, 11.62iter/s]
Best score: 0.1679: : 989iter [01:32, 11.57iter/s]
Best score: 0.1675: : 989iter [01:33, 11.57iter/s]
Best score: 0.1675: : 990iter [01:33, 11.57iter/s]
Best score: 0.1675: : 991iter [01:33, 11.44iter/s]
Best score: 0.1675: : 991iter [01:33, 11.44iter/s]
Best score: 0.1675: : 992iter [01:33, 11.44iter/s]
Best score: 0.1675: : 993iter [01:33, 11.55iter/s]
Best score: 0.1675: : 993iter [01:33, 11.55iter/s]
Best score: 0.1675: : 994iter [01:33, 11.55iter/s]
Best score: 0.1675: : 995iter [01:33, 11.63iter/s]
Best score: 0.1675: : 995iter [01:33, 11.63iter/s]
Best score: 0.1675: : 996iter [01:33, 11.63iter/s]
Best score: 0.1675: : 997iter [01:33, 11.69iter/s]
Best score: 0.1675: : 997iter [01:33, 11.69iter/s]
Best score: 0.1675: : 998iter [01:33, 11.69iter/s]
Best score: 0.1675: : 999iter [01:33, 11.73iter/s]
[ITER 1000] Best: 0.1673
[PARAMS] Current best parameters:
  fx: 537.1358
  fy: 537.1926
  px: 1031.9245
  py: 756.1141
  k1: -0.00186959
  k2: -0.00467686
  k3: 0.00275335
  k4: -0.00096343
  p1: -0.01268860
  p2: 0.00275868
  p3: -0.03120068
  p4: 0.01166517
  s1: 0.0326
  s2: -0.0145
  s3: 0.0365
  s4: -0.0118
  tilt_x: -0.0597
  tilt_y: 0.0306
  scale: 3.0004
  rotation: 0.2847

Best score: 0.1673: : 999iter [01:33, 11.73iter/s]
Best score: 0.1673: : 1000iter [01:34, 11.73iter/s]
Best score: 0.1673: : 1001iter [01:34,  7.54iter/s]
Best score: 0.1673: : 1001iter [01:34,  7.54iter/s]
Best score: 0.1673: : 1002iter [01:34,  7.54iter/s]
Best score: 0.1673: : 1003iter [01:34,  8.45iter/s]
Best score: 0.1673: : 1003iter [01:34,  8.45iter/s]
Best score: 0.1673: : 1004iter [01:34,  8.45iter/s]
Best score: 0.1673: : 1005iter [01:34,  9.24iter/s]
Best score: 0.1673: : 1005iter [01:34,  9.24iter/s]
Best score: 0.1673: : 1006iter [01:34,  9.24iter/s]
Best score: 0.1673: : 1007iter [01:34,  9.88iter/s]
Best score: 0.1673: : 1007iter [01:34,  9.88iter/s]
Best score: 0.1673: : 1008iter [01:35,  9.88iter/s]
Best score: 0.1673: : 1009iter [01:35, 10.40iter/s]
Best score: 0.1669: : 1009iter [01:35, 10.40iter/s]
Best score: 0.1669: : 1010iter [01:35, 10.40iter/s]
Best score: 0.1669: : 1011iter [01:35, 10.60iter/s]
Best score: 0.1669: : 1011iter [01:35, 10.60iter/s]
Best score: 0.1669: : 1012iter [01:35, 10.60iter/s]
Best score: 0.1669: : 1013iter [01:35, 10.94iter/s]
Best score: 0.1669: : 1013iter [01:35, 10.94iter/s]
Best score: 0.1669: : 1014iter [01:35, 10.94iter/s]
Best score: 0.1669: : 1015iter [01:35, 11.18iter/s]
Best score: 0.1669: : 1015iter [01:35, 11.18iter/s]
Best score: 0.1669: : 1016iter [01:35, 11.18iter/s]
Best score: 0.1669: : 1017iter [01:35, 11.36iter/s]
Best score: 0.1669: : 1017iter [01:35, 11.36iter/s]
Best score: 0.1669: : 1018iter [01:35, 11.36iter/s]
Best score: 0.1669: : 1019iter [01:35, 11.49iter/s]
Best score: 0.1668: : 1019iter [01:35, 11.49iter/s]
Best score: 0.1668: : 1020iter [01:36, 11.49iter/s]
Best score: 0.1668: : 1021iter [01:36, 11.34iter/s]
Best score: 0.1668: : 1021iter [01:36, 11.34iter/s]
Best score: 0.1668: : 1022iter [01:36, 11.34iter/s]
Best score: 0.1668: : 1023iter [01:36, 11.47iter/s]
Best score: 0.1668: : 1023iter [01:36, 11.47iter/s]
Best score: 0.1668: : 1024iter [01:36, 11.47iter/s]
Best score: 0.1668: : 1025iter [01:36, 11.57iter/s]
Best score: 0.1668: : 1025iter [01:36, 11.57iter/s]
Best score: 0.1668: : 1026iter [01:36, 11.57iter/s]
Best score: 0.1668: : 1027iter [01:36, 11.64iter/s]
Best score: 0.1668: : 1027iter [01:36, 11.64iter/s]
Best score: 0.1668: : 1028iter [01:36, 11.64iter/s]
Best score: 0.1668: : 1029iter [01:36, 11.69iter/s]
Best score: 0.1666: : 1029iter [01:36, 11.69iter/s]
Best score: 0.1666: : 1030iter [01:36, 11.69iter/s]
Best score: 0.1666: : 1031iter [01:36, 11.53iter/s]
Best score: 0.1666: : 1031iter [01:36, 11.53iter/s]
Best score: 0.1666: : 1032iter [01:37, 11.53iter/s]
Best score: 0.1666: : 1033iter [01:37, 11.62iter/s]
Best score: 0.1666: : 1033iter [01:37, 11.62iter/s]
Best score: 0.1666: : 1034iter [01:37, 11.62iter/s]
Best score: 0.1666: : 1035iter [01:37, 11.66iter/s]
Best score: 0.1666: : 1035iter [01:37, 11.66iter/s]
Best score: 0.1666: : 1036iter [01:37, 11.66iter/s]
Best score: 0.1666: : 1037iter [01:37, 11.68iter/s]
Best score: 0.1666: : 1037iter [01:37, 11.68iter/s]
Best score: 0.1666: : 1038iter [01:37, 11.68iter/s]
Best score: 0.1666: : 1039iter [01:37, 11.65iter/s]
Best score: 0.1664: : 1039iter [01:37, 11.65iter/s]
Best score: 0.1664: : 1040iter [01:37, 11.65iter/s]
Best score: 0.1664: : 1041iter [01:37, 11.44iter/s]
Best score: 0.1664: : 1041iter [01:37, 11.44iter/s]
Best score: 0.1664: : 1042iter [01:37, 11.44iter/s]
Best score: 0.1664: : 1043iter [01:37, 11.45iter/s]
Best score: 0.1664: : 1043iter [01:38, 11.45iter/s]
Best score: 0.1664: : 1044iter [01:38, 11.45iter/s]
Best score: 0.1664: : 1045iter [01:38, 11.54iter/s]
Best score: 0.1664: : 1045iter [01:38, 11.54iter/s]
Best score: 0.1664: : 1046iter [01:38, 11.54iter/s]
Best score: 0.1664: : 1047iter [01:38, 11.53iter/s]
Best score: 0.1664: : 1047iter [01:38, 11.53iter/s]
Best score: 0.1664: : 1048iter [01:38, 11.53iter/s]
Best score: 0.1664: : 1049iter [01:38, 11.56iter/s]
[ITER 1050] Best: 0.1664
[PARAMS] Current best parameters:
  fx: 540.2973
  fy: 540.2959
  px: 1031.3767
  py: 755.6704
  k1: -0.00695290
  k2: -0.00100514
  k3: 0.00037609
  k4: -0.00036083
  p1: -0.01485215
  p2: 0.00092062
  p3: -0.02475937
  p4: 0.01077405
  s1: 0.0269
  s2: -0.0135
  s3: 0.0314
  s4: -0.0107
  tilt_x: -0.0578
  tilt_y: 0.0295
  scale: 3.0000
  rotation: 0.2833

Best score: 0.1664: : 1049iter [01:38, 11.56iter/s]
Best score: 0.1664: : 1050iter [01:38, 11.56iter/s]
Best score: 0.1664: : 1051iter [01:38,  7.45iter/s]
Best score: 0.1664: : 1051iter [01:39,  7.45iter/s]
Best score: 0.1664: : 1052iter [01:39,  7.45iter/s]
Best score: 0.1664: : 1053iter [01:39,  8.38iter/s]
Best score: 0.1664: : 1053iter [01:39,  8.38iter/s]
Best score: 0.1664: : 1054iter [01:39,  8.38iter/s]
Best score: 0.1664: : 1055iter [01:39,  9.18iter/s]
Best score: 0.1664: : 1055iter [01:39,  9.18iter/s]
Best score: 0.1664: : 1056iter [01:39,  9.18iter/s]
Best score: 0.1664: : 1057iter [01:39,  9.83iter/s]
Best score: 0.1664: : 1057iter [01:39,  9.83iter/s]
Best score: 0.1664: : 1058iter [01:39,  9.83iter/s]
Best score: 0.1664: : 1059iter [01:39, 10.34iter/s]
Best score: 0.1658: : 1059iter [01:39, 10.34iter/s]
Best score: 0.1658: : 1060iter [01:39, 10.34iter/s]
Best score: 0.1658: : 1061iter [01:39, 10.56iter/s]
Best score: 0.1658: : 1061iter [01:39, 10.56iter/s]
Best score: 0.1658: : 1062iter [01:39, 10.56iter/s]
Best score: 0.1658: : 1063iter [01:39, 10.91iter/s]
Best score: 0.1658: : 1063iter [01:40, 10.91iter/s]
Best score: 0.1658: : 1064iter [01:40, 10.91iter/s]
Best score: 0.1658: : 1065iter [01:40, 11.13iter/s]
Best score: 0.1658: : 1065iter [01:40, 11.13iter/s]
Best score: 0.1658: : 1066iter [01:40, 11.13iter/s]
Best score: 0.1658: : 1067iter [01:40, 11.32iter/s]
Best score: 0.1658: : 1067iter [01:40, 11.32iter/s]
Best score: 0.1658: : 1068iter [01:40, 11.32iter/s]
Best score: 0.1658: : 1069iter [01:40, 11.41iter/s]
Best score: 0.1655: : 1069iter [01:40, 11.41iter/s]
Best score: 0.1655: : 1070iter [01:40, 11.41iter/s]
Best score: 0.1655: : 1071iter [01:40, 11.32iter/s]
Best score: 0.1655: : 1071iter [01:40, 11.32iter/s]
Best score: 0.1655: : 1072iter [01:40, 11.32iter/s]
Best score: 0.1655: : 1073iter [01:40, 11.44iter/s]
Best score: 0.1655: : 1073iter [01:40, 11.44iter/s]
Best score: 0.1655: : 1074iter [01:41, 11.44iter/s]
Best score: 0.1655: : 1075iter [01:41, 11.55iter/s]
Best score: 0.1655: : 1075iter [01:41, 11.55iter/s]
Best score: 0.1655: : 1076iter [01:41, 11.55iter/s]
Best score: 0.1655: : 1077iter [01:41, 11.61iter/s]
Best score: 0.1655: : 1077iter [01:41, 11.61iter/s]
Best score: 0.1655: : 1078iter [01:41, 11.61iter/s]
Best score: 0.1655: : 1079iter [01:41, 11.66iter/s]
Best score: 0.1651: : 1079iter [01:41, 11.66iter/s]
Best score: 0.1651: : 1080iter [01:41, 11.66iter/s]
Best score: 0.1651: : 1081iter [01:41, 11.52iter/s]
Best score: 0.1651: : 1081iter [01:41, 11.52iter/s]
Best score: 0.1651: : 1082iter [01:41, 11.52iter/s]
Best score: 0.1651: : 1083iter [01:41, 11.59iter/s]
Best score: 0.1651: : 1083iter [01:41, 11.59iter/s]
Best score: 0.1651: : 1084iter [01:41, 11.59iter/s]
Best score: 0.1651: : 1085iter [01:41, 11.65iter/s]
Best score: 0.1651: : 1085iter [01:41, 11.65iter/s]
Best score: 0.1651: : 1086iter [01:42, 11.65iter/s]
Best score: 0.1651: : 1087iter [01:42, 11.70iter/s]
Best score: 0.1651: : 1087iter [01:42, 11.70iter/s]
Best score: 0.1651: : 1088iter [01:42, 11.70iter/s]
Best score: 0.1651: : 1089iter [01:42, 11.73iter/s]
Best score: 0.1650: : 1089iter [01:42, 11.73iter/s]
Best score: 0.1650: : 1090iter [01:42, 11.73iter/s]
Best score: 0.1650: : 1091iter [01:42, 11.56iter/s]
Best score: 0.1650: : 1091iter [01:42, 11.56iter/s]
Best score: 0.1650: : 1092iter [01:42, 11.56iter/s]
Best score: 0.1650: : 1093iter [01:42, 11.63iter/s]
Best score: 0.1650: : 1093iter [01:42, 11.63iter/s]
Best score: 0.1650: : 1094iter [01:42, 11.63iter/s]
Best score: 0.1650: : 1095iter [01:42, 11.67iter/s]
Best score: 0.1650: : 1095iter [01:42, 11.67iter/s]
Best score: 0.1650: : 1096iter [01:42, 11.67iter/s]
Best score: 0.1650: : 1097iter [01:42, 11.71iter/s]
Best score: 0.1650: : 1097iter [01:42, 11.71iter/s]
Best score: 0.1650: : 1098iter [01:43, 11.71iter/s]
Best score: 0.1650: : 1099iter [01:43, 11.72iter/s]
[ITER 1100] Best: 0.1648
[PARAMS] Current best parameters:
  fx: 544.0347
  fy: 544.1352
  px: 1032.0487
  py: 755.6794
  k1: -0.01603099
  k2: 0.00614338
  k3: -0.00243568
  k4: -0.00005527
  p1: -0.01703981
  p2: -0.00042027
  p3: -0.01016898
  p4: 0.00588173
  s1: 0.0146
  s2: -0.0086
  s3: 0.0191
  s4: -0.0057
  tilt_x: -0.0542
  tilt_y: 0.0239
  scale: 3.0029
  rotation: 0.2887

Best score: 0.1648: : 1099iter [01:43, 11.72iter/s]
Best score: 0.1648: : 1100iter [01:43, 10.63iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.164769 -> 0.164359

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 102,270 → 96,154 within 3500mm ring
  Ring polish did not improve score: 0.164359
  Success: True
  Tangential distortion: p1=-0.016907, p2=-0.000506, p3=-0.010249, p4=0.006226
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1644
[✅] Parameters copied to: /working/MDC053_W024(6)_2025-08-06/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 544.0347555806313
    fy: 544.1351424769938
    px: 1032.0486609719248
    py: 755.6794442637078
    k1: -0.01600176438921108
    k2: 0.006160921333127953
    k3: -0.00249743197757597
    k4: -2.4017486471621206e-05
    p1: -0.016906663699719823
    p2: -0.0005060556492192083
    p3: -0.01024919803110596
    p4: 0.0062259295470356545
    scale: 3.002860886736001
    rotation: 0.2886968355410452
    mmpp: 3.4541612976814218

[🔄] Converting 2927 frames to PTD, creating debug images for 400 calibration frames...

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📁 Rigs:  50%|█████     | 2/4 [00:12<00:13,  6.57s/rig]

   🔄 2000R:   0%|          | 0/1121 [00:00<?, ?frame/s]

   🔄 2000R:   1%|          | 10/1121 [00:00<00:36, 30.82frame/s]

   🔄 2000R:   2%|▏         | 28/1121 [00:00<00:14, 75.64frame/s]

   🔄 2000R:   4%|▍         | 46/1121 [00:00<00:10, 105.88frame/s]

   🔄 2000R:   6%|▌         | 64/1121 [00:00<00:08, 126.77frame/s]

   🔄 2000R:   7%|▋         | 82/1121 [00:00<00:07, 140.97frame/s]

   🔄 2000R:   9%|▉         | 100/1121 [00:00<00:06, 151.00frame/s]

   🔄 2000R:  11%|█         | 118/1121 [00:00<00:06, 157.99frame/s]

   🔄 2000R:  12%|█▏        | 136/1121 [00:01<00:06, 163.07frame/s]

   🔄 2000R:  14%|█▎        | 154/1121 [00:01<00:05, 166.86frame/s]

   🔄 2000R:  15%|█▌        | 172/1121 [00:01<00:05, 170.01frame/s]

   🔄 2000R:  17%|█▋        | 191/1121 [00:01<00:05, 173.54frame/s]

   🔄 2000R:  19%|█▊        | 210/1121 [00:01<00:05, 176.33frame/s]

   🔄 2000R:  20%|██        | 229/1121 [00:01<00:04, 178.56frame/s]

   🔄 2000R:  22%|██▏       | 248/1121 [00:01<00:04, 179.78frame/s]

   🔄 2000R:  24%|██▍       | 267/1121 [00:01<00:04, 180.93frame/s]

   🔄 2000R:  26%|██▌       | 286/1121 [00:01<00:04, 181.54frame/s]

   🔄 2000R:  27%|██▋       | 305/1121 [00:01<00:04, 181.13frame/s]

   🔄 2000R:  29%|██▉       | 324/1121 [00:02<00:04, 180.56frame/s]

   🔄 2000R:  31%|███       | 343/1121 [00:02<00:04, 180.10frame/s]

   🔄 2000R:  32%|███▏      | 362/1121 [00:02<00:04, 179.21frame/s]

   🔄 2000R:  34%|███▍      | 380/1121 [00:02<00:04, 179.04frame/s]

   🔄 2000R:  36%|███▌      | 398/1121 [00:02<00:04, 178.13frame/s]

   🔄 2000R:  37%|███▋      | 416/1121 [00:02<00:03, 178.00frame/s]

   🔄 2000R:  39%|███▊      | 434/1121 [00:02<00:03, 177.91frame/s]

   🔄 2000R:  40%|████      | 452/1121 [00:02<00:03, 178.03frame/s]

   🔄 2000R:  42%|████▏     | 470/1121 [00:02<00:03, 178.41frame/s]

   🔄 2000R:  44%|████▎     | 488/1121 [00:03<00:03, 178.55frame/s]

   🔄 2000R:  45%|████▌     | 506/1121 [00:03<00:03, 178.42frame/s]

   🔄 2000R:  47%|████▋     | 524/1121 [00:03<00:03, 178.33frame/s]

   🔄 2000R:  48%|████▊     | 542/1121 [00:03<00:03, 178.57frame/s]

   🔄 2000R:  50%|████▉     | 560/1121 [00:03<00:03, 178.30frame/s]

   🔄 2000R:  52%|█████▏    | 578/1121 [00:03<00:03, 178.74frame/s]

   🔄 2000R:  53%|█████▎    | 597/1121 [00:03<00:02, 179.49frame/s]

   🔄 2000R:  55%|█████▍    | 615/1121 [00:03<00:02, 179.26frame/s]

   🔄 2000R:  57%|█████▋    | 634/1121 [00:03<00:02, 179.74frame/s]

   🔄 2000R:  58%|█████▊    | 653/1121 [00:03<00:02, 180.31frame/s]

   🔄 2000R:  60%|█████▉    | 672/1121 [00:04<00:02, 180.84frame/s]

   🔄 2000R:  62%|██████▏   | 691/1121 [00:04<00:02, 181.13frame/s]

   🔄 2000R:  63%|██████▎   | 710/1121 [00:04<00:02, 181.29frame/s]

   🔄 2000R:  65%|██████▌   | 729/1121 [00:04<00:02, 181.54frame/s]

   🔄 2000R:  67%|██████▋   | 748/1121 [00:04<00:02, 181.80frame/s]

   🔄 2000R:  68%|██████▊   | 767/1121 [00:04<00:01, 181.68frame/s]

   🔄 2000R:  70%|███████   | 786/1121 [00:04<00:01, 181.56frame/s]

   🔄 2000R:  72%|███████▏  | 805/1121 [00:04<00:01, 181.37frame/s]

   🔄 2000R:  74%|███████▎  | 824/1121 [00:04<00:01, 181.10frame/s]

   🔄 2000R:  75%|███████▌  | 843/1121 [00:04<00:01, 180.74frame/s]

   🔄 2000R:  77%|███████▋  | 862/1121 [00:05<00:01, 179.60frame/s]

   🔄 2000R:  79%|███████▊  | 880/1121 [00:05<00:01, 178.51frame/s]

   🔄 2000R:  80%|████████  | 898/1121 [00:05<00:01, 178.07frame/s]

   🔄 2000R:  82%|████████▏ | 916/1121 [00:05<00:01, 177.45frame/s]

   🔄 2000R:  83%|████████▎ | 934/1121 [00:05<00:01, 177.03frame/s]

   🔄 2000R:  85%|████████▍ | 952/1121 [00:05<00:00, 176.90frame/s]

   🔄 2000R:  87%|████████▋ | 970/1121 [00:05<00:00, 176.84frame/s]

   🔄 2000R:  88%|████████▊ | 989/1121 [00:05<00:00, 178.19frame/s]

   🔄 2000R:  90%|████████▉ | 1008/1121 [00:05<00:00, 178.98frame/s]

   🔄 2000R:  92%|█████████▏| 1026/1121 [00:06<00:00, 179.21frame/s]

   🔄 2000R:  93%|█████████▎| 1044/1121 [00:06<00:00, 179.31frame/s]

   🔄 2000R:  95%|█████████▍| 1062/1121 [00:06<00:00, 178.34frame/s]

   🔄 2000R:  96%|█████████▋| 1080/1121 [00:06<00:00, 177.10frame/s]

   🔄 2000R:  98%|█████████▊| 1098/1121 [00:06<00:00, 176.35frame/s]

   🔄 2000R: 100%|█████████▉| 1116/1121 [00:06<00:00, 175.78frame/s]

                                                                    
📁 Rigs:  75%|███████▌  | 3/4 [00:23<00:08,  8.73s/rig]

   🔄 1500:   0%|          | 0/592 [00:00<?, ?frame/s]

   🔄 1500:   3%|▎         | 18/592 [00:00<00:03, 177.34frame/s]

   🔄 1500:   6%|▌         | 36/592 [00:00<00:03, 177.97frame/s]

   🔄 1500:   9%|▉         | 54/592 [00:00<00:03, 178.23frame/s]

   🔄 1500:  12%|█▏        | 72/592 [00:00<00:02, 178.29frame/s]

   🔄 1500:  15%|█▌        | 91/592 [00:00<00:02, 180.16frame/s]

   🔄 1500:  19%|█▊        | 110/592 [00:00<00:02, 183.02frame/s]

   🔄 1500:  22%|██▏       | 129/592 [00:00<00:02, 184.77frame/s]

   🔄 1500:  25%|██▌       | 148/592 [00:00<00:02, 185.89frame/s]

   🔄 1500:  28%|██▊       | 167/592 [00:00<00:02, 186.34frame/s]

   🔄 1500:  31%|███▏      | 186/592 [00:01<00:02, 185.46frame/s]

   🔄 1500:  35%|███▍      | 205/592 [00:01<00:02, 183.63frame/s]

   🔄 1500:  38%|███▊      | 224/592 [00:01<00:02, 182.61frame/s]

   🔄 1500:  41%|████      | 243/592 [00:01<00:01, 182.10frame/s]

   🔄 1500:  44%|████▍     | 262/592 [00:01<00:01, 181.94frame/s]

   🔄 1500:  47%|████▋     | 281/592 [00:01<00:01, 182.10frame/s]

   🔄 1500:  51%|█████     | 300/592 [00:01<00:01, 182.23frame/s]

   🔄 1500:  54%|█████▍    | 319/592 [00:01<00:01, 182.61frame/s]

   🔄 1500:  57%|█████▋    | 338/592 [00:01<00:01, 183.01frame/s]

   🔄 1500:  60%|██████    | 357/592 [00:01<00:01, 183.16frame/s]

   🔄 1500:  64%|██████▎   | 376/592 [00:02<00:01, 183.31frame/s]

   🔄 1500:  67%|██████▋   | 395/592 [00:02<00:01, 182.55frame/s]

   🔄 1500:  70%|██████▉   | 414/592 [00:02<00:00, 181.89frame/s]

   🔄 1500:  73%|███████▎  | 433/592 [00:02<00:00, 181.60frame/s]

   🔄 1500:  76%|███████▋  | 452/592 [00:02<00:00, 181.49frame/s]

   🔄 1500:  80%|███████▉  | 471/592 [00:02<00:00, 182.56frame/s]

   🔄 1500:  83%|████████▎ | 490/592 [00:02<00:00, 184.16frame/s]

   🔄 1500:  86%|████████▌ | 510/592 [00:02<00:00, 185.94frame/s]

   🔄 1500:  89%|████████▉ | 529/592 [00:02<00:00, 186.21frame/s]

   🔄 1500:  93%|█████████▎| 548/592 [00:02<00:00, 185.76frame/s]

   🔄 1500:  96%|█████████▌| 567/592 [00:03<00:00, 182.94frame/s]

   🔄 1500:  99%|█████████▉| 586/592 [00:03<00:00, 181.08frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:29<00:00,  7.53s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:29<00:00,  7.31s/rig]
[✅] Saved PTDs: /working/MDC053_W024(6)_2025-08-06/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 183.33frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 184.44frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 183.46frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 181.93frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 184.09frame/s]

                                                                
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.07rig/s]

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 175.72frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 174.46frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 176.30frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 176.06frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 175.80frame/s]

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

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 174.32frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.23frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 175.89frame/s]

   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 177.41frame/s]

   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 178.09frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:03<00:01,  1.11s/rig]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 174.32frame/s]

   🔄 1500:  37%|███▋      | 37/100 [00:00<00:00, 177.23frame/s]

   🔄 1500:  55%|█████▌    | 55/100 [00:00<00:00, 176.80frame/s]

   🔄 1500:  73%|███████▎  | 73/100 [00:00<00:00, 176.34frame/s]

   🔄 1500:  92%|█████████▏| 92/100 [00:00<00:00, 178.00frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.04s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.05s/rig]
[✅] Saved PTDs: /working/MDC053_W024(6)_2025-08-06/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%|▎         | 99537/3080448 [00:00<00:02, 995366.20px/s]
📤 Writing LUT:   7%|▋         | 211979/3080448 [00:00<00:02, 1071273.17px/s]
📤 Writing LUT:  10%|█         | 319107/3080448 [00:00<00:02, 1063637.79px/s]
📤 Writing LUT:  14%|█▍        | 425478/3080448 [00:00<00:02, 1037507.14px/s]
📤 Writing LUT:  17%|█▋        | 529318/3080448 [00:00<00:02, 1007090.43px/s]
📤 Writing LUT:  20%|██        | 630185/3080448 [00:00<00:02, 972601.31px/s] 
📤 Writing LUT:  24%|██▎       | 727671/3080448 [00:00<00:02, 959990.07px/s]
📤 Writing LUT:  27%|██▋       | 823802/3080448 [00:00<00:02, 932125.01px/s]
📤 Writing LUT:  30%|██▉       | 917169/3080448 [00:00<00:02, 914875.17px/s]
📤 Writing LUT:  33%|███▎      | 1008753/3080448 [00:01<00:02, 913736.79px/s]
📤 Writing LUT:  36%|███▌      | 1100189/3080448 [00:01<00:02, 911406.20px/s]
📤 Writing LUT:  39%|███▊      | 1191366/3080448 [00:01<00:02, 909475.88px/s]
📤 Writing LUT:  42%|████▏     | 1282335/3080448 [00:01<00:01, 909336.91px/s]
📤 Writing LUT:  45%|████▍     | 1373284/3080448 [00:01<00:01, 908829.06px/s]
📤 Writing LUT:  48%|████▊     | 1464177/3080448 [00:01<00:01, 906004.46px/s]
📤 Writing LUT:  50%|█████     | 1555432/3080448 [00:01<00:01, 907953.27px/s]
📤 Writing LUT:  53%|█████▎    | 1646234/3080448 [00:01<00:01, 907652.83px/s]
📤 Writing LUT:  56%|█████▋    | 1737004/3080448 [00:01<00:01, 903465.55px/s]
📤 Writing LUT:  59%|█████▉    | 1827356/3080448 [00:01<00:01, 899170.50px/s]
📤 Writing LUT:  62%|██████▏   | 1920201/3080448 [00:02<00:01, 907890.14px/s]
📤 Writing LUT:  65%|██████▌   | 2011001/3080448 [00:02<00:01, 903769.64px/s]
📤 Writing LUT:  68%|██████▊   | 2101388/3080448 [00:02<00:01, 897590.70px/s]
📤 Writing LUT:  71%|███████   | 2191160/3080448 [00:02<00:00, 891483.65px/s]
📤 Writing LUT:  74%|███████▍  | 2280321/3080448 [00:02<00:00, 888392.00px/s]
📤 Writing LUT:  77%|███████▋  | 2369168/3080448 [00:02<00:00, 885008.66px/s]
📤 Writing LUT:  80%|███████▉  | 2457674/3080448 [00:02<00:00, 882935.45px/s]
📤 Writing LUT:  83%|████████▎ | 2545970/3080448 [00:02<00:00, 880073.23px/s]
📤 Writing LUT:  86%|████████▌ | 2635115/3080448 [00:02<00:00, 883455.41px/s]
📤 Writing LUT:  88%|████████▊ | 2724703/3080448 [00:02<00:00, 887159.22px/s]
📤 Writing LUT:  91%|█████████▏| 2815990/3080448 [00:03<00:00, 894837.70px/s]
📤 Writing LUT:  94%|█████████▍| 2905481/3080448 [00:03<00:00, 892355.92px/s]
📤 Writing LUT:  97%|█████████▋| 2996516/3080448 [00:03<00:00, 897732.25px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 916653.81px/s]
[✅] LUT written to: /working/MDC053_W024(6)_2025-08-06/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC053_W024(6)_2025-08-06' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC053_W024(6)_2025-08-06/calibration/MDC053_W024(6)_2025-08-06_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]

   🔥 1000:   0%|          | 0/353 [00:00<?, ?frame/s]

   🔥 1000:   3%|▎         | 9/353 [00:00<00:04, 83.92frame/s]

   🔥 1000:   5%|▌         | 19/353 [00:00<00:03, 89.39frame/s]

   🔥 1000:   8%|▊         | 29/353 [00:00<00:03, 90.81frame/s]

   🔥 1000:  11%|█         | 39/353 [00:00<00:03, 91.87frame/s]

   🔥 1000:  14%|█▍        | 49/353 [00:00<00:03, 93.20frame/s]

   🔥 1000:  17%|█▋        | 59/353 [00:00<00:03, 93.85frame/s]

   🔥 1000:  20%|█▉        | 69/353 [00:00<00:03, 92.61frame/s]

   🔥 1000:  22%|██▏       | 79/353 [00:00<00:03, 90.44frame/s]

   🔥 1000:  25%|██▌       | 89/353 [00:00<00:02, 89.07frame/s]

   🔥 1000:  28%|██▊       | 98/353 [00:01<00:02, 88.43frame/s]

   🔥 1000:  30%|███       | 107/353 [00:01<00:02, 86.99frame/s]

   🔥 1000:  33%|███▎      | 116/353 [00:01<00:02, 85.86frame/s]

   🔥 1000:  35%|███▌      | 125/353 [00:01<00:02, 85.17frame/s]

   🔥 1000:  38%|███▊      | 134/353 [00:01<00:02, 84.72frame/s]

   🔥 1000:  41%|████      | 143/353 [00:01<00:02, 83.95frame/s]

   🔥 1000:  43%|████▎     | 152/353 [00:01<00:02, 83.68frame/s]

   🔥 1000:  46%|████▌     | 161/353 [00:01<00:02, 84.89frame/s]

   🔥 1000:  48%|████▊     | 171/353 [00:01<00:02, 87.78frame/s]

   🔥 1000:  51%|█████▏    | 181/353 [00:02<00:01, 90.29frame/s]

   🔥 1000:  54%|█████▍    | 191/353 [00:02<00:01, 91.69frame/s]

   🔥 1000:  57%|█████▋    | 201/353 [00:02<00:01, 92.51frame/s]

   🔥 1000:  60%|█████▉    | 211/353 [00:02<00:01, 93.16frame/s]

   🔥 1000:  63%|██████▎   | 221/353 [00:02<00:01, 92.16frame/s]

   🔥 1000:  65%|██████▌   | 231/353 [00:02<00:01, 91.62frame/s]

   🔥 1000:  68%|██████▊   | 241/353 [00:02<00:01, 90.14frame/s]

   🔥 1000:  71%|███████   | 251/353 [00:02<00:01, 88.21frame/s]

   🔥 1000:  74%|███████▎  | 260/353 [00:02<00:01, 86.34frame/s]

   🔥 1000:  76%|███████▌  | 269/353 [00:03<00:00, 86.39frame/s]

   🔥 1000:  79%|███████▉  | 278/353 [00:03<00:00, 86.27frame/s]

   🔥 1000:  81%|████████▏ | 287/353 [00:03<00:00, 87.00frame/s]

   🔥 1000:  84%|████████▍ | 297/353 [00:03<00:00, 88.35frame/s]

   🔥 1000:  87%|████████▋ | 307/353 [00:03<00:00, 90.03frame/s]

   🔥 1000:  90%|████████▉ | 317/353 [00:03<00:00, 91.94frame/s]

   🔥 1000:  93%|█████████▎| 327/353 [00:03<00:00, 92.23frame/s]

   🔥 1000:  95%|█████████▌| 337/353 [00:03<00:00, 92.45frame/s]

   🔥 1000:  98%|█████████▊| 347/353 [00:03<00:00, 92.45frame/s]

                                                                [✅] 1000: /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/1000_heatmap_fitted.png

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                                                                 [✅] 2000L: /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:16<00:17,  8.68s/rig]

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   🔥 2000R:  94%|█████████▎| 1049/1121 [00:11<00:00, 93.33frame/s]

   🔥 2000R:  94%|█████████▍| 1059/1121 [00:11<00:00, 91.14frame/s]

   🔥 2000R:  95%|█████████▌| 1069/1121 [00:12<00:00, 88.85frame/s]

   🔥 2000R:  96%|█████████▌| 1078/1121 [00:12<00:00, 87.03frame/s]

   🔥 2000R:  97%|█████████▋| 1087/1121 [00:12<00:00, 85.25frame/s]

   🔥 2000R:  98%|█████████▊| 1096/1121 [00:12<00:00, 84.17frame/s]

   🔥 2000R:  99%|█████████▊| 1105/1121 [00:12<00:00, 83.20frame/s]

   🔥 2000R:  99%|█████████▉| 1114/1121 [00:12<00:00, 81.97frame/s]

                                                                   [✅] 2000R: /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:30<00:11, 11.28s/rig]

   🔥 1500:   0%|          | 0/592 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 9/592 [00:00<00:06, 83.72frame/s]

   🔥 1500:   3%|▎         | 18/592 [00:00<00:06, 85.72frame/s]

   🔥 1500:   5%|▍         | 27/592 [00:00<00:06, 87.48frame/s]

   🔥 1500:   6%|▌         | 36/592 [00:00<00:06, 87.96frame/s]

   🔥 1500:   8%|▊         | 46/592 [00:00<00:06, 89.65frame/s]

   🔥 1500:   9%|▉         | 56/592 [00:00<00:05, 90.63frame/s]

   🔥 1500:  11%|█         | 66/592 [00:00<00:05, 90.93frame/s]

   🔥 1500:  13%|█▎        | 76/592 [00:00<00:05, 91.21frame/s]

   🔥 1500:  15%|█▍        | 86/592 [00:00<00:05, 92.07frame/s]

   🔥 1500:  16%|█▌        | 96/592 [00:01<00:05, 93.05frame/s]

   🔥 1500:  18%|█▊        | 106/592 [00:01<00:07, 62.46frame/s]

   🔥 1500:  20%|█▉        | 116/592 [00:01<00:06, 68.98frame/s]

   🔥 1500:  21%|██        | 125/592 [00:01<00:06, 73.01frame/s]

   🔥 1500:  23%|██▎       | 134/592 [00:01<00:06, 75.51frame/s]

   🔥 1500:  24%|██▍       | 143/592 [00:01<00:05, 76.81frame/s]

   🔥 1500:  26%|██▌       | 152/592 [00:01<00:05, 78.31frame/s]

   🔥 1500:  27%|██▋       | 161/592 [00:01<00:05, 79.30frame/s]

   🔥 1500:  29%|██▊       | 170/592 [00:02<00:05, 79.44frame/s]

   🔥 1500:  30%|███       | 179/592 [00:02<00:05, 79.97frame/s]

   🔥 1500:  32%|███▏      | 188/592 [00:02<00:05, 79.82frame/s]

   🔥 1500:  33%|███▎      | 197/592 [00:02<00:04, 79.42frame/s]

   🔥 1500:  35%|███▍      | 206/592 [00:02<00:04, 79.75frame/s]

   🔥 1500:  36%|███▋      | 215/592 [00:02<00:04, 79.73frame/s]

   🔥 1500:  38%|███▊      | 224/592 [00:02<00:04, 79.61frame/s]

   🔥 1500:  39%|███▉      | 232/592 [00:02<00:04, 79.33frame/s]

   🔥 1500:  41%|████      | 240/592 [00:02<00:04, 79.15frame/s]

   🔥 1500:  42%|████▏     | 248/592 [00:03<00:04, 78.40frame/s]

   🔥 1500:  43%|████▎     | 256/592 [00:03<00:04, 78.57frame/s]

   🔥 1500:  45%|████▍     | 264/592 [00:03<00:04, 78.32frame/s]

   🔥 1500:  46%|████▌     | 272/592 [00:03<00:04, 78.27frame/s]

   🔥 1500:  47%|████▋     | 280/592 [00:03<00:03, 78.44frame/s]

   🔥 1500:  49%|████▊     | 288/592 [00:03<00:03, 78.71frame/s]

   🔥 1500:  50%|█████     | 297/592 [00:03<00:03, 79.62frame/s]

   🔥 1500:  52%|█████▏    | 306/592 [00:03<00:03, 80.79frame/s]

   🔥 1500:  53%|█████▎    | 315/592 [00:03<00:03, 82.77frame/s]

   🔥 1500:  55%|█████▍    | 325/592 [00:04<00:03, 85.23frame/s]

   🔥 1500:  57%|█████▋    | 335/592 [00:04<00:02, 87.52frame/s]

   🔥 1500:  58%|█████▊    | 345/592 [00:04<00:02, 89.18frame/s]

   🔥 1500:  60%|█████▉    | 355/592 [00:04<00:02, 90.30frame/s]

   🔥 1500:  62%|██████▏   | 365/592 [00:04<00:02, 91.20frame/s]

   🔥 1500:  63%|██████▎   | 375/592 [00:04<00:02, 91.83frame/s]

   🔥 1500:  65%|██████▌   | 385/592 [00:04<00:02, 91.80frame/s]

   🔥 1500:  67%|██████▋   | 395/592 [00:04<00:02, 91.84frame/s]

   🔥 1500:  68%|██████▊   | 405/592 [00:04<00:02, 91.16frame/s]

   🔥 1500:  70%|███████   | 415/592 [00:05<00:01, 90.10frame/s]

   🔥 1500:  72%|███████▏  | 425/592 [00:05<00:01, 88.47frame/s]

   🔥 1500:  73%|███████▎  | 434/592 [00:05<00:01, 87.68frame/s]

   🔥 1500:  75%|███████▍  | 443/592 [00:05<00:01, 86.99frame/s]

   🔥 1500:  76%|███████▋  | 452/592 [00:05<00:01, 87.82frame/s]

   🔥 1500:  78%|███████▊  | 462/592 [00:05<00:01, 89.11frame/s]

   🔥 1500:  80%|███████▉  | 472/592 [00:05<00:01, 89.70frame/s]

   🔥 1500:  81%|████████▏ | 482/592 [00:05<00:01, 90.15frame/s]

   🔥 1500:  83%|████████▎ | 492/592 [00:05<00:01, 90.92frame/s]

   🔥 1500:  85%|████████▍ | 502/592 [00:05<00:00, 91.35frame/s]

   🔥 1500:  86%|████████▋ | 512/592 [00:06<00:00, 91.45frame/s]

   🔥 1500:  88%|████████▊ | 522/592 [00:06<00:00, 92.38frame/s]

   🔥 1500:  90%|████████▉ | 532/592 [00:06<00:00, 92.22frame/s]

   🔥 1500:  92%|█████████▏| 542/592 [00:06<00:00, 92.49frame/s]

   🔥 1500:  93%|█████████▎| 552/592 [00:06<00:00, 92.38frame/s]

   🔥 1500:  95%|█████████▍| 562/592 [00:06<00:00, 91.87frame/s]

   🔥 1500:  97%|█████████▋| 572/592 [00:06<00:00, 91.75frame/s]

   🔥 1500:  98%|█████████▊| 582/592 [00:06<00:00, 91.86frame/s]

   🔥 1500: 100%|██████████| 592/592 [00:06<00:00, 91.72frame/s]

                                                                [✅] 1500: /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:38<00:00, 10.09s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:38<00:00,  9.70s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC053_W024(6)_2025-08-06/calibration/debug/5_heatmap
[🏁] Finished processing MDC053_W024(6)_2025-08-06


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