2026-09-01T01:43:07 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC053_W024(6)_2026-08-26_bent-wand ===
2026-09-01T01:43:07 - INFO: Camera ID: 6396150
2026-09-01T01:43:07 - INFO: Wand ID: 
2026-09-01T01:43:07 - INFO: Recorded At: 2026-08-25T23:05:54Z

-------------------------------------------------------------------
                        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 544 stationary frames, 592 remain


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→ 2000R Phase 2: corners: 100%|█████████▉| 590/592 [00:04<00:00, 180.73it/s]

                                                                            [PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000244: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000245: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000246: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000247: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000248: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000249: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000517: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000518: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000519: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000520: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000521: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000522: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000884: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000885: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000886: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000887: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001084: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001085: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001086: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001090: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000246: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000248: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000519: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000520: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000521: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000886: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001086: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 17 frames fixed, 25 untrusted, 592 total


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→ 2000R Phase 3: finalize:  60%|█████▉    | 354/592 [00:07<00:05, 46.39it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 359/592 [00:08<00:05, 46.51it/s]

→ 2000R Phase 3: finalize:  61%|██████▏   | 364/592 [00:08<00:04, 46.68it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 369/592 [00:08<00:04, 46.67it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 374/592 [00:08<00:04, 46.58it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 379/592 [00:08<00:04, 46.64it/s]

→ 2000R Phase 3: finalize:  65%|██████▍   | 384/592 [00:08<00:04, 46.61it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 389/592 [00:08<00:04, 46.56it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 394/592 [00:08<00:04, 46.40it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 399/592 [00:08<00:04, 46.35it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 404/592 [00:08<00:04, 46.46it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 409/592 [00:09<00:03, 46.44it/s]

→ 2000R Phase 3: finalize:  70%|██████▉   | 414/592 [00:09<00:03, 46.45it/s]

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→ 2000R Phase 3: finalize:  72%|███████▏  | 424/592 [00:09<00:03, 46.59it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 429/592 [00:09<00:03, 46.86it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 434/592 [00:09<00:03, 47.03it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 439/592 [00:09<00:03, 47.05it/s]

→ 2000R Phase 3: finalize:  75%|███████▌  | 444/592 [00:09<00:03, 46.88it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 449/592 [00:09<00:03, 46.71it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 454/592 [00:10<00:02, 46.62it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 459/592 [00:10<00:02, 46.61it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 464/592 [00:10<00:02, 46.46it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 469/592 [00:10<00:02, 46.10it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 474/592 [00:10<00:02, 45.78it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 479/592 [00:10<00:02, 45.63it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 484/592 [00:10<00:02, 45.43it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 489/592 [00:10<00:02, 45.34it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 494/592 [00:10<00:02, 45.03it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 499/592 [00:11<00:02, 44.95it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 504/592 [00:11<00:01, 44.92it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 509/592 [00:11<00:01, 44.92it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 514/592 [00:11<00:01, 44.81it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 519/592 [00:11<00:01, 44.69it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 524/592 [00:11<00:01, 44.68it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 529/592 [00:11<00:01, 44.67it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 534/592 [00:11<00:01, 44.69it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 539/592 [00:11<00:01, 44.63it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 544/592 [00:12<00:01, 44.48it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 549/592 [00:12<00:00, 44.33it/s]

→ 2000R Phase 3: finalize:  94%|█████████▎| 554/592 [00:12<00:00, 44.24it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 559/592 [00:12<00:00, 44.20it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 564/592 [00:12<00:00, 44.29it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 569/592 [00:12<00:00, 44.53it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 574/592 [00:12<00:00, 44.67it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 579/592 [00:12<00:00, 44.86it/s]

→ 2000R Phase 3: finalize:  99%|█████████▊| 584/592 [00:12<00:00, 44.94it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 589/592 [00:13<00:00, 44.99it/s]

                                                                            
[TIMING] 2000R — 592 frames
  Phase 1  radial detect   (parallel)  :   8.94s  (15.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.47s  (7.5 ms/frame)
  Phase 2b corner fix      (sequential):   1.24s
  Phase 3  finalize        (sequential):  13.12s  (22.2 ms/frame)
    decode + undistort                 :   7.58s  (12.8 ms/frame)
    corner apply + refinement          :   2.47s  (4.2 ms/frame)
    segment                            :   2.37s  (4.0 ms/frame)
    smooth                             :   0.50s  (0.8 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  27.77s


Processing Rigs:  25%|██▌       | 1/4 [00:35<01:47, 35.80s/it][INFO] Filtered 483 stationary frames, 561 remain


→ 2000L (561 images) Phase 1:   0%|          | 0/561 [00:00<?, ?it/s]

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→ 2000L (561 images) Phase 1:  11%|█         | 59/561 [00:01<00:07, 67.85it/s]

→ 2000L (561 images) Phase 1:  13%|█▎        | 71/561 [00:01<00:09, 51.63it/s]

→ 2000L (561 images) Phase 1:  16%|█▌        | 90/561 [00:01<00:06, 72.64it/s]

→ 2000L (561 images) Phase 1:  18%|█▊        | 102/561 [00:02<00:08, 57.27it/s]

→ 2000L (561 images) Phase 1:  22%|██▏       | 121/561 [00:02<00:05, 77.77it/s]

→ 2000L (561 images) Phase 1:  24%|██▍       | 134/561 [00:02<00:07, 60.05it/s]

→ 2000L (561 images) Phase 1:  27%|██▋       | 153/561 [00:02<00:05, 79.10it/s]

→ 2000L (561 images) Phase 1:  30%|██▉       | 166/561 [00:02<00:06, 61.56it/s]

→ 2000L (561 images) Phase 1:  33%|███▎      | 185/561 [00:03<00:04, 80.57it/s]

→ 2000L (561 images) Phase 1:  35%|███▌      | 198/561 [00:03<00:05, 62.15it/s]

→ 2000L (561 images) Phase 1:  39%|███▊      | 217/561 [00:03<00:04, 81.12it/s]

→ 2000L (561 images) Phase 1:  41%|████      | 230/561 [00:03<00:05, 62.88it/s]

→ 2000L (561 images) Phase 1:  44%|████▍     | 248/561 [00:03<00:03, 80.13it/s]

→ 2000L (561 images) Phase 1:  47%|████▋     | 261/561 [00:04<00:04, 60.62it/s]

→ 2000L (561 images) Phase 1:  50%|█████     | 281/561 [00:04<00:03, 79.79it/s]

→ 2000L (561 images) Phase 1:  52%|█████▏    | 294/561 [00:04<00:04, 58.63it/s]

→ 2000L (561 images) Phase 1:  55%|█████▌    | 309/561 [00:04<00:03, 70.47it/s]

→ 2000L (561 images) Phase 1:  57%|█████▋    | 321/561 [00:05<00:03, 62.20it/s]

→ 2000L (561 images) Phase 1:  59%|█████▉    | 330/561 [00:05<00:03, 63.45it/s]

→ 2000L (561 images) Phase 1:  62%|██████▏   | 347/561 [00:05<00:02, 79.28it/s]

→ 2000L (561 images) Phase 1:  64%|██████▍   | 358/561 [00:05<00:03, 63.47it/s]

→ 2000L (561 images) Phase 1:  66%|██████▋   | 372/561 [00:05<00:02, 76.08it/s]

→ 2000L (561 images) Phase 1:  69%|██████▊   | 385/561 [00:06<00:02, 65.89it/s]

→ 2000L (561 images) Phase 1:  70%|███████   | 394/561 [00:06<00:02, 66.59it/s]

→ 2000L (561 images) Phase 1:  73%|███████▎  | 409/561 [00:06<00:01, 81.50it/s]

→ 2000L (561 images) Phase 1:  75%|███████▍  | 419/561 [00:06<00:02, 64.97it/s]

→ 2000L (561 images) Phase 1:  76%|███████▋  | 428/561 [00:06<00:01, 67.20it/s]

→ 2000L (561 images) Phase 1:  79%|███████▉  | 444/561 [00:06<00:01, 83.63it/s]

→ 2000L (561 images) Phase 1:  81%|████████  | 454/561 [00:07<00:01, 64.06it/s]

→ 2000L (561 images) Phase 1:  83%|████████▎ | 467/561 [00:07<00:01, 75.74it/s]

→ 2000L (561 images) Phase 1:  85%|████████▌ | 478/561 [00:07<00:01, 80.64it/s]

→ 2000L (561 images) Phase 1:  87%|████████▋ | 488/561 [00:07<00:01, 64.01it/s]

→ 2000L (561 images) Phase 1:  89%|████████▉ | 502/561 [00:07<00:00, 77.00it/s]

→ 2000L (561 images) Phase 1:  91%|█████████▏| 512/561 [00:07<00:00, 69.34it/s]

→ 2000L (561 images) Phase 1:  93%|█████████▎| 521/561 [00:08<00:00, 62.68it/s]

→ 2000L (561 images) Phase 1:  96%|█████████▌| 539/561 [00:08<00:00, 85.27it/s]

→ 2000L (561 images) Phase 1:  98%|█████████▊| 550/561 [00:08<00:00, 74.40it/s]

→ 2000L (561 images) Phase 1: 100%|██████████| 561/561 [00:08<00:00, 80.85it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/561 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/561 [00:00<02:18,  4.03it/s]

→ 2000L Phase 2: corners:   2%|▏         | 12/561 [00:00<00:13, 41.74it/s]

→ 2000L Phase 2: corners:   4%|▍         | 25/561 [00:00<00:08, 66.18it/s]

→ 2000L Phase 2: corners:   7%|▋         | 41/561 [00:00<00:05, 92.91it/s]

→ 2000L Phase 2: corners:   9%|▉         | 52/561 [00:00<00:05, 96.85it/s]

→ 2000L Phase 2: corners:  11%|█▏        | 64/561 [00:00<00:04, 103.21it/s]

→ 2000L Phase 2: corners:  14%|█▎        | 76/561 [00:00<00:04, 106.25it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 88/561 [00:01<00:04, 109.42it/s]

→ 2000L Phase 2: corners:  19%|█▊        | 104/561 [00:01<00:03, 122.67it/s]

→ 2000L Phase 2: corners:  21%|██▏       | 120/561 [00:01<00:03, 133.01it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 136/561 [00:01<00:03, 140.55it/s]

→ 2000L Phase 2: corners:  27%|██▋       | 154/561 [00:01<00:02, 150.23it/s]

→ 2000L Phase 2: corners:  31%|███       | 175/561 [00:01<00:02, 167.27it/s]

→ 2000L Phase 2: corners:  34%|███▍      | 192/561 [00:01<00:02, 158.61it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 209/561 [00:01<00:02, 157.87it/s]

→ 2000L Phase 2: corners:  40%|████      | 225/561 [00:01<00:02, 148.35it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 241/561 [00:02<00:02, 130.56it/s]

→ 2000L Phase 2: corners:  46%|████▌     | 259/561 [00:02<00:02, 141.22it/s]

→ 2000L Phase 2: corners:  50%|████▉     | 278/561 [00:02<00:01, 152.61it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 296/561 [00:02<00:01, 157.24it/s]

→ 2000L Phase 2: corners:  56%|█████▌    | 315/561 [00:02<00:01, 164.66it/s]

→ 2000L Phase 2: corners:  59%|█████▉    | 333/561 [00:02<00:01, 165.77it/s]

→ 2000L Phase 2: corners:  63%|██████▎   | 356/561 [00:02<00:01, 179.56it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 376/561 [00:02<00:01, 183.04it/s]

→ 2000L Phase 2: corners:  71%|███████   | 396/561 [00:02<00:00, 186.73it/s]

→ 2000L Phase 2: corners:  74%|███████▍  | 416/561 [00:02<00:00, 187.44it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 436/561 [00:03<00:00, 183.99it/s]

→ 2000L Phase 2: corners:  81%|████████  | 455/561 [00:03<00:00, 178.84it/s]

→ 2000L Phase 2: corners:  84%|████████▍ | 474/561 [00:03<00:00, 179.99it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 493/561 [00:03<00:00, 182.23it/s]

→ 2000L Phase 2: corners:  91%|█████████▏| 512/561 [00:03<00:00, 173.94it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 530/561 [00:03<00:00, 171.52it/s]

→ 2000L Phase 2: corners:  99%|█████████▉| 556/561 [00:03<00:00, 196.13it/s]

                                                                            [PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000400: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000401: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000938: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000939: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000942: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000943: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000955: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000956: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000957: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000958: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000400: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000942: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000957: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000939: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 15 frames fixed, 27 untrusted, 561 total


→ 2000L Phase 3: finalize:   0%|          | 0/561 [00:00<?, ?it/s]

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→ 2000L Phase 3: finalize:  20%|█▉        | 110/561 [00:02<00:09, 45.22it/s]

→ 2000L Phase 3: finalize:  20%|██        | 115/561 [00:02<00:09, 45.97it/s]

→ 2000L Phase 3: finalize:  21%|██▏       | 120/561 [00:02<00:09, 45.49it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 125/561 [00:02<00:09, 44.97it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 130/561 [00:02<00:09, 44.47it/s]

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→ 2000L Phase 3: finalize:  46%|████▋     | 260/561 [00:05<00:06, 45.92it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 265/561 [00:05<00:06, 46.01it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 270/561 [00:06<00:06, 45.88it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 275/561 [00:06<00:06, 45.65it/s]

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→ 2000L Phase 3: finalize:  55%|█████▌    | 310/561 [00:06<00:05, 45.43it/s]

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→ 2000L Phase 3: finalize:  57%|█████▋    | 320/561 [00:07<00:05, 45.76it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 325/561 [00:07<00:05, 45.86it/s]

→ 2000L Phase 3: finalize:  59%|█████▉    | 330/561 [00:07<00:05, 45.99it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 335/561 [00:07<00:04, 46.13it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 340/561 [00:07<00:04, 46.07it/s]

→ 2000L Phase 3: finalize:  61%|██████▏   | 345/561 [00:07<00:04, 46.09it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 350/561 [00:07<00:04, 46.22it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 355/561 [00:07<00:04, 46.48it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 360/561 [00:07<00:04, 46.65it/s]

→ 2000L Phase 3: finalize:  65%|██████▌   | 365/561 [00:08<00:04, 46.39it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 370/561 [00:08<00:04, 46.30it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 375/561 [00:08<00:04, 46.30it/s]

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→ 2000L Phase 3: finalize:  69%|██████▊   | 385/561 [00:08<00:03, 45.78it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 390/561 [00:08<00:03, 45.63it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 395/561 [00:08<00:03, 45.30it/s]

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→ 2000L Phase 3: finalize:  72%|███████▏  | 405/561 [00:08<00:03, 44.72it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 410/561 [00:09<00:03, 44.50it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 415/561 [00:09<00:03, 44.38it/s]

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→ 2000L Phase 3: finalize:  76%|███████▌  | 425/561 [00:09<00:03, 44.26it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 430/561 [00:09<00:02, 44.25it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 435/561 [00:09<00:02, 44.24it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 440/561 [00:09<00:02, 44.14it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 445/561 [00:09<00:02, 44.11it/s]

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→ 2000L Phase 3: finalize:  81%|████████  | 455/561 [00:10<00:02, 44.10it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 460/561 [00:10<00:02, 44.19it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 465/561 [00:10<00:02, 44.33it/s]

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→ 2000L Phase 3: finalize:  85%|████████▍ | 475/561 [00:10<00:01, 44.53it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 480/561 [00:10<00:01, 44.62it/s]

→ 2000L Phase 3: finalize:  86%|████████▋ | 485/561 [00:10<00:01, 44.71it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 490/561 [00:10<00:01, 44.67it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 495/561 [00:11<00:01, 44.60it/s]

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→ 2000L Phase 3: finalize:  92%|█████████▏| 515/561 [00:11<00:01, 44.56it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 520/561 [00:11<00:00, 44.55it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 525/561 [00:11<00:00, 44.41it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 530/561 [00:11<00:00, 44.23it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 535/561 [00:11<00:00, 44.15it/s]

→ 2000L Phase 3: finalize:  96%|█████████▋| 540/561 [00:12<00:00, 44.22it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 545/561 [00:12<00:00, 44.39it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 550/561 [00:12<00:00, 44.63it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 555/561 [00:12<00:00, 44.86it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 560/561 [00:12<00:00, 44.95it/s]

                                                                            
[TIMING] 2000L — 561 frames
  Phase 1  radial detect   (parallel)  :   8.56s  (15.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.83s  (6.8 ms/frame)
  Phase 2b corner fix      (sequential):   1.25s
  Phase 3  finalize        (sequential):  12.49s  (22.3 ms/frame)
    decode + undistort                 :   7.23s  (12.9 ms/frame)
    corner apply + refinement          :   2.35s  (4.2 ms/frame)
    segment                            :   2.24s  (4.0 ms/frame)
    smooth                             :   0.49s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  26.14s


Processing Rigs:  50%|█████     | 2/4 [01:08<01:07, 33.73s/it][INFO] Filtered 399 stationary frames, 241 remain


→ 1000 (241 images) Phase 1:   0%|          | 0/241 [00:00<?, ?it/s]

→ 1000 (241 images) Phase 1:   0%|          | 1/241 [00:00<02:29,  1.60it/s]

→ 1000 (241 images) Phase 1:   2%|▏         | 4/241 [00:00<00:34,  6.89it/s]

→ 1000 (241 images) Phase 1:  10%|█         | 25/241 [00:00<00:04, 48.35it/s]

→ 1000 (241 images) Phase 1:  15%|█▍        | 35/241 [00:01<00:05, 39.08it/s]

→ 1000 (241 images) Phase 1:  22%|██▏       | 54/241 [00:01<00:02, 65.04it/s]

→ 1000 (241 images) Phase 1:  27%|██▋       | 66/241 [00:01<00:03, 52.57it/s]

→ 1000 (241 images) Phase 1:  35%|███▍      | 84/241 [00:01<00:02, 73.18it/s]

→ 1000 (241 images) Phase 1:  40%|███▉      | 96/241 [00:01<00:01, 74.52it/s]

→ 1000 (241 images) Phase 1:  44%|████▍     | 107/241 [00:02<00:02, 61.80it/s]

→ 1000 (241 images) Phase 1:  51%|█████     | 123/241 [00:02<00:01, 77.61it/s]

→ 1000 (241 images) Phase 1:  56%|█████▌    | 134/241 [00:02<00:01, 58.30it/s]

→ 1000 (241 images) Phase 1:  64%|██████▍   | 154/241 [00:02<00:01, 80.90it/s]

→ 1000 (241 images) Phase 1:  69%|██████▉   | 166/241 [00:03<00:01, 59.86it/s]

→ 1000 (241 images) Phase 1:  78%|███████▊  | 187/241 [00:03<00:00, 80.35it/s]

→ 1000 (241 images) Phase 1:  83%|████████▎ | 199/241 [00:03<00:00, 61.10it/s]

→ 1000 (241 images) Phase 1:  91%|█████████ | 219/241 [00:03<00:00, 81.28it/s]

→ 1000 (241 images) Phase 1:  96%|█████████▋| 232/241 [00:03<00:00, 75.18it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/241 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/241 [00:00<01:14,  3.22it/s]

→ 1000 Phase 2: corners:   5%|▍         | 12/241 [00:00<00:06, 36.36it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 29/241 [00:00<00:02, 76.40it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 43/241 [00:00<00:02, 93.71it/s]

→ 1000 Phase 2: corners:  24%|██▎       | 57/241 [00:00<00:01, 107.18it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 70/241 [00:00<00:01, 111.80it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 83/241 [00:00<00:01, 115.70it/s]

→ 1000 Phase 2: corners:  40%|███▉      | 96/241 [00:01<00:01, 117.64it/s]

→ 1000 Phase 2: corners:  45%|████▌     | 109/241 [00:01<00:01, 120.32it/s]

→ 1000 Phase 2: corners:  51%|█████▏    | 124/241 [00:01<00:00, 128.49it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 140/241 [00:01<00:00, 133.48it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 159/241 [00:01<00:00, 149.01it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 178/241 [00:01<00:00, 160.33it/s]

→ 1000 Phase 2: corners:  81%|████████▏ | 196/241 [00:01<00:00, 163.75it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 213/241 [00:01<00:00, 161.36it/s]

→ 1000 Phase 2: corners:  98%|█████████▊| 237/241 [00:01<00:00, 182.69it/s]

                                                                           [PASS2] Frame 0000381: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000422: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000426: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000432: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000591: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000596: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 6 frames fixed, 3 untrusted, 241 total


→ 1000 Phase 3: finalize:   0%|          | 0/241 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 5/241 [00:00<00:04, 48.14it/s]

→ 1000 Phase 3: finalize:   5%|▍         | 11/241 [00:00<00:04, 52.47it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 17/241 [00:00<00:04, 50.13it/s]

→ 1000 Phase 3: finalize:  10%|▉         | 23/241 [00:00<00:04, 48.90it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 28/241 [00:00<00:04, 48.36it/s]

→ 1000 Phase 3: finalize:  14%|█▎        | 33/241 [00:00<00:04, 48.22it/s]

→ 1000 Phase 3: finalize:  16%|█▌        | 38/241 [00:00<00:04, 48.03it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 43/241 [00:00<00:04, 47.84it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 48/241 [00:00<00:04, 47.73it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 53/241 [00:01<00:03, 47.63it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 58/241 [00:01<00:03, 47.46it/s]

→ 1000 Phase 3: finalize:  26%|██▌       | 63/241 [00:01<00:03, 47.51it/s]

→ 1000 Phase 3: finalize:  28%|██▊       | 68/241 [00:01<00:03, 47.53it/s]

→ 1000 Phase 3: finalize:  30%|███       | 73/241 [00:01<00:03, 47.19it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 78/241 [00:01<00:03, 46.83it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 83/241 [00:01<00:03, 46.71it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 88/241 [00:01<00:03, 46.67it/s]

→ 1000 Phase 3: finalize:  39%|███▊      | 93/241 [00:01<00:03, 46.58it/s]

→ 1000 Phase 3: finalize:  41%|████      | 98/241 [00:02<00:03, 46.44it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 103/241 [00:02<00:02, 46.37it/s]

→ 1000 Phase 3: finalize:  45%|████▍     | 108/241 [00:02<00:02, 46.14it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 113/241 [00:02<00:02, 46.28it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 118/241 [00:02<00:02, 46.46it/s]

→ 1000 Phase 3: finalize:  51%|█████     | 123/241 [00:02<00:02, 46.45it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 128/241 [00:02<00:02, 46.39it/s]

→ 1000 Phase 3: finalize:  55%|█████▌    | 133/241 [00:02<00:02, 46.38it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 138/241 [00:02<00:02, 46.34it/s]

→ 1000 Phase 3: finalize:  59%|█████▉    | 143/241 [00:03<00:02, 46.23it/s]

→ 1000 Phase 3: finalize:  61%|██████▏   | 148/241 [00:03<00:02, 45.94it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 153/241 [00:03<00:01, 46.12it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 158/241 [00:03<00:01, 46.22it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 163/241 [00:03<00:01, 46.25it/s]

→ 1000 Phase 3: finalize:  70%|██████▉   | 168/241 [00:03<00:01, 46.34it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 173/241 [00:03<00:01, 46.74it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 178/241 [00:03<00:01, 47.58it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 183/241 [00:03<00:01, 47.40it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 188/241 [00:03<00:01, 47.11it/s]

→ 1000 Phase 3: finalize:  80%|████████  | 193/241 [00:04<00:01, 47.17it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 198/241 [00:04<00:00, 47.37it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 203/241 [00:04<00:00, 47.60it/s]

→ 1000 Phase 3: finalize:  86%|████████▋ | 208/241 [00:04<00:00, 47.71it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 213/241 [00:04<00:00, 47.86it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 218/241 [00:04<00:00, 47.93it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 223/241 [00:04<00:00, 47.76it/s]

→ 1000 Phase 3: finalize:  95%|█████████▍| 228/241 [00:04<00:00, 47.49it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 233/241 [00:04<00:00, 46.93it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 238/241 [00:05<00:00, 46.90it/s]

                                                                           
[TIMING] 1000 — 241 frames
  Phase 1  radial detect   (parallel)  :   3.94s  (16.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.98s  (8.2 ms/frame)
  Phase 2b corner fix      (sequential):   0.16s
  Phase 3  finalize        (sequential):   5.11s  (21.2 ms/frame)
    decode + undistort                 :   3.06s  (12.7 ms/frame)
    corner apply + refinement          :   0.83s  (3.5 ms/frame)
    segment                            :   0.92s  (3.8 ms/frame)
    smooth                             :   0.23s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  11.19s


Processing Rigs:  75%|███████▌  | 3/4 [01:22<00:25, 25.14s/it][INFO] Filtered 378 stationary frames, 408 remain


→ 1500 (408 images) Phase 1:   0%|          | 0/408 [00:00<?, ?it/s]

→ 1500 (408 images) Phase 1:   0%|          | 1/408 [00:00<04:38,  1.46it/s]

→ 1500 (408 images) Phase 1:   7%|▋         | 30/408 [00:00<00:07, 50.47it/s]

→ 1500 (408 images) Phase 1:  11%|█▏        | 46/408 [00:01<00:08, 43.49it/s]

→ 1500 (408 images) Phase 1:  16%|█▌        | 65/408 [00:01<00:06, 51.03it/s]

→ 1500 (408 images) Phase 1:  18%|█▊        | 74/408 [00:01<00:06, 52.56it/s]

→ 1500 (408 images) Phase 1:  23%|██▎       | 93/408 [00:01<00:04, 73.77it/s]

→ 1500 (408 images) Phase 1:  26%|██▌       | 105/408 [00:02<00:05, 57.09it/s]

→ 1500 (408 images) Phase 1:  30%|███       | 124/408 [00:02<00:03, 76.91it/s]

→ 1500 (408 images) Phase 1:  33%|███▎      | 136/408 [00:02<00:04, 58.28it/s]

→ 1500 (408 images) Phase 1:  39%|███▊      | 158/408 [00:02<00:03, 80.17it/s]

→ 1500 (408 images) Phase 1:  42%|████▏     | 171/408 [00:03<00:03, 62.78it/s]

→ 1500 (408 images) Phase 1:  47%|████▋     | 190/408 [00:03<00:02, 80.13it/s]

→ 1500 (408 images) Phase 1:  50%|████▉     | 202/408 [00:03<00:03, 61.84it/s]

→ 1500 (408 images) Phase 1:  54%|█████▍    | 222/408 [00:03<00:02, 80.89it/s]

→ 1500 (408 images) Phase 1:  57%|█████▋    | 234/408 [00:03<00:02, 62.43it/s]

→ 1500 (408 images) Phase 1:  62%|██████▏   | 254/408 [00:04<00:01, 81.33it/s]

→ 1500 (408 images) Phase 1:  65%|██████▌   | 266/408 [00:04<00:02, 62.63it/s]

→ 1500 (408 images) Phase 1:  70%|███████   | 286/408 [00:04<00:01, 81.38it/s]

→ 1500 (408 images) Phase 1:  73%|███████▎  | 298/408 [00:04<00:01, 62.36it/s]

→ 1500 (408 images) Phase 1:  78%|███████▊  | 318/408 [00:04<00:01, 81.78it/s]

→ 1500 (408 images) Phase 1:  81%|████████  | 331/408 [00:05<00:01, 63.09it/s]

→ 1500 (408 images) Phase 1:  86%|████████▌ | 351/408 [00:05<00:00, 78.94it/s]

→ 1500 (408 images) Phase 1:  89%|████████▉ | 363/408 [00:05<00:00, 56.91it/s]

→ 1500 (408 images) Phase 1:  94%|█████████▍| 383/408 [00:05<00:00, 74.62it/s]

→ 1500 (408 images) Phase 1:  97%|█████████▋| 395/408 [00:06<00:00, 64.08it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/408 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/408 [00:00<02:06,  3.22it/s]

→ 1500 Phase 2: corners:   5%|▍         | 20/408 [00:00<00:06, 60.34it/s]

→ 1500 Phase 2: corners:   8%|▊         | 33/408 [00:00<00:04, 81.46it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 48/408 [00:00<00:03, 101.40it/s]

→ 1500 Phase 2: corners:  16%|█▌        | 64/408 [00:00<00:02, 117.71it/s]

→ 1500 Phase 2: corners:  19%|█▉        | 78/408 [00:00<00:02, 117.00it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 94/408 [00:00<00:02, 125.62it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 110/408 [00:01<00:02, 134.65it/s]

→ 1500 Phase 2: corners:  31%|███       | 127/408 [00:01<00:01, 142.48it/s]

→ 1500 Phase 2: corners:  35%|███▍      | 142/408 [00:01<00:01, 142.86it/s]

→ 1500 Phase 2: corners:  39%|███▊      | 158/408 [00:01<00:01, 146.34it/s]

→ 1500 Phase 2: corners:  42%|████▏     | 173/408 [00:01<00:01, 143.47it/s]

→ 1500 Phase 2: corners:  46%|████▌     | 188/408 [00:01<00:01, 142.59it/s]

→ 1500 Phase 2: corners:  50%|█████     | 204/408 [00:01<00:01, 141.24it/s]

→ 1500 Phase 2: corners:  54%|█████▎    | 219/408 [00:01<00:01, 141.22it/s]

→ 1500 Phase 2: corners:  58%|█████▊    | 237/408 [00:01<00:01, 151.97it/s]

→ 1500 Phase 2: corners:  62%|██████▏   | 254/408 [00:02<00:00, 156.64it/s]

→ 1500 Phase 2: corners:  66%|██████▌   | 270/408 [00:02<00:00, 144.87it/s]

→ 1500 Phase 2: corners:  70%|██████▉   | 285/408 [00:02<00:00, 143.21it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 301/408 [00:02<00:00, 147.84it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 316/408 [00:02<00:00, 145.59it/s]

→ 1500 Phase 2: corners:  81%|████████▏ | 332/408 [00:02<00:00, 146.52it/s]

→ 1500 Phase 2: corners:  85%|████████▌ | 347/408 [00:02<00:00, 145.56it/s]

→ 1500 Phase 2: corners:  89%|████████▉ | 364/408 [00:02<00:00, 151.81it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 380/408 [00:02<00:00, 147.71it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 396/408 [00:02<00:00, 149.86it/s]

                                                                           [PASS2] Frame 0000246: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000247: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000248: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000249: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000276: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000277: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000313: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000314: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000315: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000316: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000317: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000318: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000319: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000320: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000324: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000335: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000549: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000619: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000620: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000621: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000622: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000623: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000624: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000625: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000626: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000627: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000628: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000629: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000631: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000632: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000633: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000634: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000637: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000639: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000640: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000641: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000642: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000643: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000644: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000645: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000646: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000676: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000677: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000678: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000679: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000684: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000685: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000686: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000687: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000688: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000689: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000690: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000717: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000719: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000720: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000722: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000723: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000724: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000725: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000730: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000731: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000732: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000733: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000734: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000735: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000736: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000737: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000738: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000740: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000741: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000742: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000743: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000744: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000745: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000746: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000747: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000748: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000749: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000750: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000751: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000752: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000753: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000754: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000755: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000763: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000764: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000831: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000832: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000833: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000834: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000248: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000313: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000314: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000316: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000319: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000625: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000631: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000632: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000639: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000640: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000646: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000677: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000678: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000686: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000687: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000689: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000717: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000719: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000724: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000732: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000733: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000735: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000737: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000742: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000743: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000746: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000748: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000749: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000753: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000763: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000833: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000622: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000628: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000629: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000643: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000644: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000719: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000755: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 67 frames fixed, 71 untrusted, 408 total


→ 1500 Phase 3: finalize:   0%|          | 0/408 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 5/408 [00:00<00:08, 48.07it/s]

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→ 1500 Phase 3: finalize:   6%|▌         | 25/408 [00:00<00:08, 44.48it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 30/408 [00:00<00:08, 44.39it/s]

→ 1500 Phase 3: finalize:   9%|▊         | 35/408 [00:00<00:08, 44.43it/s]

→ 1500 Phase 3: finalize:  10%|▉         | 40/408 [00:00<00:08, 44.54it/s]

→ 1500 Phase 3: finalize:  11%|█         | 45/408 [00:01<00:08, 44.55it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 50/408 [00:01<00:08, 44.72it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 55/408 [00:01<00:07, 44.94it/s]

→ 1500 Phase 3: finalize:  15%|█▍        | 60/408 [00:01<00:07, 45.34it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 65/408 [00:01<00:07, 45.70it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 70/408 [00:01<00:07, 45.88it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 75/408 [00:01<00:07, 46.03it/s]

→ 1500 Phase 3: finalize:  20%|█▉        | 80/408 [00:01<00:07, 46.58it/s]

→ 1500 Phase 3: finalize:  21%|██        | 86/408 [00:01<00:06, 47.71it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 91/408 [00:01<00:06, 47.62it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 97/408 [00:02<00:06, 48.89it/s]

→ 1500 Phase 3: finalize:  25%|██▌       | 102/408 [00:02<00:06, 48.32it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 107/408 [00:02<00:06, 47.81it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 113/408 [00:02<00:06, 48.78it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 119/408 [00:02<00:05, 49.71it/s]

→ 1500 Phase 3: finalize:  30%|███       | 124/408 [00:02<00:05, 48.85it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 129/408 [00:02<00:05, 47.58it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 134/408 [00:02<00:05, 46.74it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 139/408 [00:02<00:05, 46.07it/s]

→ 1500 Phase 3: finalize:  35%|███▌      | 144/408 [00:03<00:05, 45.89it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 149/408 [00:03<00:05, 45.63it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 154/408 [00:03<00:05, 45.64it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 159/408 [00:03<00:05, 45.70it/s]

→ 1500 Phase 3: finalize:  40%|████      | 164/408 [00:03<00:05, 45.64it/s]

→ 1500 Phase 3: finalize:  41%|████▏     | 169/408 [00:03<00:05, 45.48it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 174/408 [00:03<00:05, 45.60it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 179/408 [00:03<00:05, 45.76it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 184/408 [00:03<00:04, 45.90it/s]

→ 1500 Phase 3: finalize:  46%|████▋     | 189/408 [00:04<00:04, 45.86it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 194/408 [00:04<00:04, 46.00it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 199/408 [00:04<00:04, 46.03it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 204/408 [00:04<00:04, 45.98it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 209/408 [00:04<00:04, 46.04it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 214/408 [00:04<00:04, 46.07it/s]

→ 1500 Phase 3: finalize:  54%|█████▎    | 219/408 [00:04<00:04, 46.09it/s]

→ 1500 Phase 3: finalize:  55%|█████▍    | 224/408 [00:04<00:03, 46.07it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 229/408 [00:04<00:03, 46.21it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 234/408 [00:05<00:03, 46.18it/s]

→ 1500 Phase 3: finalize:  59%|█████▊    | 239/408 [00:05<00:03, 46.15it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 244/408 [00:05<00:03, 46.36it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 249/408 [00:05<00:03, 46.24it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 254/408 [00:05<00:03, 45.85it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 259/408 [00:05<00:03, 45.72it/s]

→ 1500 Phase 3: finalize:  65%|██████▍   | 264/408 [00:05<00:03, 44.28it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 269/408 [00:05<00:03, 44.63it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 274/408 [00:05<00:02, 45.13it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 279/408 [00:06<00:02, 45.36it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 284/408 [00:06<00:02, 45.33it/s]

→ 1500 Phase 3: finalize:  71%|███████   | 289/408 [00:06<00:02, 45.14it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 294/408 [00:06<00:02, 44.91it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 299/408 [00:06<00:02, 44.71it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 304/408 [00:06<00:02, 44.65it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 309/408 [00:06<00:02, 44.93it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 314/408 [00:06<00:02, 45.20it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 319/408 [00:06<00:01, 45.31it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 324/408 [00:07<00:01, 45.23it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 329/408 [00:07<00:01, 44.85it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 334/408 [00:07<00:01, 45.83it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 339/408 [00:07<00:01, 46.17it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 344/408 [00:07<00:01, 46.13it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 349/408 [00:07<00:01, 46.12it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 354/408 [00:07<00:01, 46.17it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 359/408 [00:07<00:01, 46.02it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 364/408 [00:07<00:00, 46.16it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 369/408 [00:08<00:00, 46.15it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 374/408 [00:08<00:00, 46.26it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 379/408 [00:08<00:00, 46.26it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 384/408 [00:08<00:00, 45.96it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 389/408 [00:08<00:00, 45.77it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 394/408 [00:08<00:00, 45.67it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 399/408 [00:08<00:00, 45.58it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 404/408 [00:08<00:00, 45.58it/s]

                                                                           
[TIMING] 1500 — 408 frames
  Phase 1  radial detect   (parallel)  :   6.44s  (15.8 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.13s  (7.7 ms/frame)
  Phase 2b corner fix      (sequential):   2.38s
  Phase 3  finalize        (sequential):   8.88s  (21.8 ms/frame)
    decode + undistort                 :   5.19s  (12.7 ms/frame)
    corner apply + refinement          :   1.59s  (3.9 ms/frame)
    segment                            :   1.58s  (3.9 ms/frame)
    smooth                             :   0.39s  (1.0 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  20.83s


Processing Rigs: 100%|██████████| 4/4 [01:48<00:00, 25.22s/it]
Processing Rigs: 100%|██████████| 4/4 [01:48<00:00, 27.08s/it]
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1802 frames from 4 rigs to /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 592
[📋] 2000L: 100 frames selected from 561
[📋] 1000: 100 frames selected from 241
[📋] 1500: 100 frames selected from 408
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26_bent-wand/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)_2026-08-26_bent-wand/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:04<05:58,  4.54s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:04<02:30,  1.93s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:39,  1.30s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:03,  1.20it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:05<00:42,  1.75it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:05<00:32,  2.29it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:05<00:23,  3.06it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:05<00:15,  4.54it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:13,  5.01it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:06<00:11,  6.01it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:06<00:10,  6.31it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:06<00:08,  7.24it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:06<00:07,  8.33it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:07,  7.92it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:07<00:07,  8.23it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:07<00:08,  7.31it/s]
Computing max image from bright frames:  28%|██▊       | 22/80 [00:07<00:07,  7.32it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:07<00:08,  7.03it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:07<00:07,  7.38it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:07<00:06,  8.97it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:08<00:07,  7.51it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:08<00:05,  8.66it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:08<00:05,  8.85it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:08<00:05,  8.85it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:08<00:05,  9.08it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:10<00:28,  1.66it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:10<00:21,  2.13it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:11<00:22,  1.97it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:11<00:15,  2.81it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:11<00:10,  3.89it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:12<00:07,  5.08it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:12<00:05,  6.17it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:12<00:05,  6.66it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:12<00:04,  7.45it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:12<00:04,  7.62it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:12<00:03,  9.46it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:13<00:03,  8.24it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:13<00:02,  9.79it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:13<00:03,  7.60it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:13<00:03,  7.32it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:13<00:02,  8.98it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:14<00:01, 10.39it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:14<00:02,  8.06it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:15<00:02,  5.64it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:15<00:03,  4.48it/s]
Computing max image from bright frames:  85%|████████▌ | 68/80 [00:15<00:02,  5.90it/s]
Computing max image from bright frames:  90%|█████████ | 72/80 [00:16<00:01,  7.81it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:16<00:00,  8.21it/s]
Computing max image from bright frames:  96%|█████████▋| 77/80 [00:16<00:00,  9.66it/s]
                                                                                       
[✅] Casing detection complete: cx=1034.0, cy=764.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:27,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:26,  3.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 12.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:07, 12.55it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   8%|▊         | 8/100 [00:00<00:04, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:04, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:04, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:04, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  11%|█         | 11/100 [00:00<00:04, 20.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 20.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 20.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 20.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 391.919} (0.004):  14%|█▍        | 14/100 [00:00<00:04, 20.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  14%|█▍        | 14/100 [00:00<00:04, 20.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 413.131} (0.005):  15%|█▌        | 15/100 [00:00<00:04, 20.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  16%|█▌        | 16/100 [00:00<00:04, 20.62it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:00<00:03, 22.67it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:00<00:03, 22.67it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 22.67it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 22.67it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:00<00:03, 22.67it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  21%|██        | 21/100 [00:00<00:02, 27.15it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  21%|██        | 21/100 [00:01<00:02, 27.15it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  22%|██▏       | 22/100 [00:01<00:02, 27.15it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:02, 27.15it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 462.626} (0.014):  24%|██▍       | 24/100 [00:01<00:02, 25.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:02, 25.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  25%|██▌       | 25/100 [00:01<00:02, 25.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:02, 25.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.029 | Best: {'fx': 490.909} (0.029):  27%|██▋       | 27/100 [00:01<00:02, 25.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.029 | Best: {'fx': 490.909} (0.029):  28%|██▊       | 28/100 [00:01<00:03, 20.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.035 | Best: {'fx': 497.98} (0.035):  28%|██▊       | 28/100 [00:01<00:03, 20.60it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.043 | Best: {'fx': 505.051} (0.043):  29%|██▉       | 29/100 [00:01<00:03, 20.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 512.121} (0.052):  30%|███       | 30/100 [00:01<00:03, 20.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 512.121} (0.052):  31%|███       | 31/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.065 | Best: {'fx': 519.192} (0.065):  31%|███       | 31/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  32%|███▏      | 32/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.075 | Best: {'fx': 526.263} (0.077):  33%|███▎      | 33/100 [00:01<00:03, 21.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.075 | Best: {'fx': 526.263} (0.077):  34%|███▍      | 34/100 [00:01<00:03, 20.80it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.069 | Best: {'fx': 526.263} (0.077):  34%|███▍      | 34/100 [00:01<00:03, 20.80it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.059 | Best: {'fx': 526.263} (0.077):  35%|███▌      | 35/100 [00:01<00:03, 20.80it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.042 | Best: {'fx': 526.263} (0.077):  36%|███▌      | 36/100 [00:01<00:03, 20.80it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.042 | Best: {'fx': 526.263} (0.077):  37%|███▋      | 37/100 [00:01<00:03, 19.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.039 | Best: {'fx': 526.263} (0.077):  37%|███▋      | 37/100 [00:01<00:03, 19.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 526.263} (0.077):  38%|███▊      | 38/100 [00:01<00:03, 19.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.046 | Best: {'fx': 526.263} (0.077):  39%|███▉      | 39/100 [00:01<00:03, 19.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.033 | Best: {'fx': 526.263} (0.077):  40%|████      | 40/100 [00:01<00:03, 19.20it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.033 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:01<00:02, 23.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.036 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:02<00:02, 23.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.034 | Best: {'fx': 526.263} (0.077):  42%|████▏     | 42/100 [00:02<00:02, 23.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  43%|████▎     | 43/100 [00:02<00:02, 23.10it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  45%|████▌     | 45/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.031 | Best: {'fx': 526.263} (0.077):  46%|████▌     | 46/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  47%|████▋     | 47/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.029 | Best: {'fx': 526.263} (0.077):  48%|████▊     | 48/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.030 | Best: {'fx': 526.263} (0.077):  49%|████▉     | 49/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 526.263} (0.077):  50%|█████     | 50/100 [00:02<00:02, 20.53it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 526.263} (0.077):  51%|█████     | 51/100 [00:02<00:01, 30.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  51%|█████     | 51/100 [00:02<00:01, 30.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  52%|█████▏    | 52/100 [00:02<00:01, 30.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  53%|█████▎    | 53/100 [00:02<00:01, 30.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  54%|█████▍    | 54/100 [00:02<00:01, 30.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  55%|█████▌    | 55/100 [00:02<00:01, 29.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  55%|█████▌    | 55/100 [00:02<00:01, 29.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  56%|█████▌    | 56/100 [00:02<00:01, 29.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  57%|█████▋    | 57/100 [00:02<00:01, 29.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  58%|█████▊    | 58/100 [00:02<00:01, 29.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  59%|█████▉    | 59/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  59%|█████▉    | 59/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  60%|██████    | 60/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  61%|██████    | 61/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  62%|██████▏   | 62/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  63%|██████▎   | 63/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  64%|██████▍   | 64/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  65%|██████▌   | 65/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  66%|██████▌   | 66/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  67%|██████▋   | 67/100 [00:02<00:01, 32.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  68%|██████▊   | 68/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  68%|██████▊   | 68/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  69%|██████▉   | 69/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  70%|███████   | 70/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  71%|███████   | 71/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  72%|███████▏  | 72/100 [00:02<00:00, 44.99it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  73%|███████▎  | 73/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  73%|███████▎  | 73/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  74%|███████▍  | 74/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  75%|███████▌  | 75/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  76%|███████▌  | 76/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  77%|███████▋  | 77/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  78%|███████▊  | 78/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  79%|███████▉  | 79/100 [00:02<00:00, 42.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  80%|████████  | 80/100 [00:02<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  80%|████████  | 80/100 [00:02<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  81%|████████  | 81/100 [00:02<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  82%|████████▏ | 82/100 [00:02<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  83%|████████▎ | 83/100 [00:03<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  84%|████████▍ | 84/100 [00:03<00:00, 45.24it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  85%|████████▌ | 85/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  85%|████████▌ | 85/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  86%|████████▌ | 86/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  87%|████████▋ | 87/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  88%|████████▊ | 88/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  89%|████████▉ | 89/100 [00:03<00:00, 37.63it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  90%|█████████ | 90/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  90%|█████████ | 90/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  91%|█████████ | 91/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  92%|█████████▏| 92/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  93%|█████████▎| 93/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  94%|█████████▍| 94/100 [00:03<00:00, 33.18it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  95%|█████████▌| 95/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  95%|█████████▌| 95/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  96%|█████████▌| 96/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  97%|█████████▋| 97/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  98%|█████████▊| 98/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  99%|█████████▉| 99/100 [00:03<00:00, 33.86it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  99%|█████████▉| 99/100 [00:03<00:00, 33.86it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.040 | Best: {'fx': 502.283} (0.040):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.040 | Best: {'fx': 502.283} (0.040):   2%|▏         | 1/50 [00:00<00:28,  1.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.039 | Best: {'fx': 502.283} (0.040):   2%|▏         | 1/50 [00:00<00:28,  1.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.041 | Best: {'fx': 503.303} (0.041):   4%|▍         | 2/50 [00:00<00:27,  1.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.042 | Best: {'fx': 504.324} (0.042):   6%|▌         | 3/50 [00:00<00:26,  1.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.043 | Best: {'fx': 505.344} (0.043):   8%|▊         | 4/50 [00:00<00:26,  1.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.043 | Best: {'fx': 505.344} (0.043):  10%|█         | 5/50 [00:00<00:05,  8.84it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.044 | Best: {'fx': 506.365} (0.044):  10%|█         | 5/50 [00:00<00:05,  8.84it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.048 | Best: {'fx': 509.426} (0.048):  12%|█▏        | 6/50 [00:00<00:04,  8.84it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.048 | Best: {'fx': 509.426} (0.048):  14%|█▍        | 7/50 [00:00<00:04, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.047 | Best: {'fx': 509.426} (0.048):  14%|█▍        | 7/50 [00:00<00:04, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.046 | Best: {'fx': 509.426} (0.048):  16%|█▌        | 8/50 [00:00<00:04, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.049 | Best: {'fx': 510.446} (0.049):  18%|█▊        | 9/50 [00:00<00:03, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.051 | Best: {'fx': 511.467} (0.051):  20%|██        | 10/50 [00:00<00:03, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.052 | Best: {'fx': 512.487} (0.052):  22%|██▏       | 11/50 [00:00<00:03, 10.40it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.052 | Best: {'fx': 512.487} (0.052):  24%|██▍       | 12/50 [00:00<00:02, 17.94it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.054 | Best: {'fx': 513.508} (0.054):  24%|██▍       | 12/50 [00:00<00:02, 17.94it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.055 | Best: {'fx': 514.528} (0.055):  26%|██▌       | 13/50 [00:01<00:02, 17.94it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 515.548} (0.057):  28%|██▊       | 14/50 [00:01<00:02, 17.94it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 515.548} (0.057):  30%|███       | 15/50 [00:01<00:01, 19.60it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 517.589} (0.061):  30%|███       | 15/50 [00:01<00:01, 19.60it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 517.589} (0.061):  32%|███▏      | 16/50 [00:01<00:01, 19.60it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.063 | Best: {'fx': 518.61} (0.063):  34%|███▍      | 17/50 [00:01<00:01, 19.60it/s] 
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.066 | Best: {'fx': 519.63} (0.066):  36%|███▌      | 18/50 [00:01<00:01, 19.60it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.066 | Best: {'fx': 519.63} (0.066):  38%|███▊      | 19/50 [00:01<00:01, 21.82it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 520.65} (0.067):  38%|███▊      | 19/50 [00:01<00:01, 21.82it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 522.691} (0.072):  40%|████      | 20/50 [00:01<00:01, 21.82it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 523.712} (0.072):  42%|████▏     | 21/50 [00:01<00:01, 21.82it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 523.712} (0.072):  44%|████▍     | 22/50 [00:01<00:01, 19.83it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.075 | Best: {'fx': 532.895} (0.075):  44%|████▍     | 22/50 [00:01<00:01, 19.83it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.069 | Best: {'fx': 532.895} (0.075):  46%|████▌     | 23/50 [00:01<00:01, 19.83it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.076 | Best: {'fx': 525.752} (0.076):  48%|████▊     | 24/50 [00:01<00:01, 19.83it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 527.793} (0.079):  50%|█████     | 25/50 [00:01<00:01, 19.83it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 527.793} (0.079):  52%|█████▏    | 26/50 [00:01<00:01, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 527.793} (0.079):  52%|█████▏    | 26/50 [00:01<00:01, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 527.793} (0.079):  54%|█████▍    | 27/50 [00:01<00:01, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 527.793} (0.079):  56%|█████▌    | 28/50 [00:01<00:01, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 527.793} (0.079):  58%|█████▊    | 29/50 [00:01<00:00, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.075 | Best: {'fx': 527.793} (0.079):  60%|██████    | 30/50 [00:01<00:00, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.075 | Best: {'fx': 527.793} (0.079):  62%|██████▏   | 31/50 [00:01<00:00, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 527.793} (0.079):  64%|██████▍   | 32/50 [00:01<00:00, 21.26it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 527.793} (0.079):  66%|██████▌   | 33/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 527.793} (0.079):  66%|██████▌   | 33/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 527.793} (0.079):  68%|██████▊   | 34/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 527.793} (0.079):  70%|███████   | 35/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.064 | Best: {'fx': 527.793} (0.079):  72%|███████▏  | 36/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.080 | Best: {'fx': 529.834} (0.080):  74%|███████▍  | 37/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 529.834} (0.080):  76%|███████▌  | 38/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.065 | Best: {'fx': 529.834} (0.080):  78%|███████▊  | 39/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 529.834} (0.080):  80%|████████  | 40/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.069 | Best: {'fx': 529.834} (0.080):  82%|████████▏ | 41/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 529.834} (0.080):  84%|████████▍ | 42/50 [00:01<00:00, 27.85it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 529.834} (0.080):  86%|████████▌ | 43/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.062 | Best: {'fx': 529.834} (0.080):  86%|████████▌ | 43/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 529.834} (0.080):  88%|████████▊ | 44/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 529.834} (0.080):  90%|█████████ | 45/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.058 | Best: {'fx': 529.834} (0.080):  92%|█████████▏| 46/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.080):  94%|█████████▍| 47/50 [00:01<00:00, 42.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.080):  96%|█████████▌| 48/50 [00:01<00:00, 42.28it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.056 | Best: {'fx': 529.834} (0.080):  96%|█████████▌| 48/50 [00:01<00:00, 42.28it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.056 | Best: {'fx': 529.834} (0.080):  98%|█████████▊| 49/50 [00:02<00:00, 42.28it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 529.8340548340549
    px: 1034.0
    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: 2000R(2000mm):20/20, 2000L(2000mm):20/20, 1000(1000mm):20/20, 1500(1500mm):20/20
  Total: 80/80 frames used for optimization

Initial score: 29.0232: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 29.0232, picklable_objective(x0) = 28.9551

Best score: 28.9551: : 0iter [00:01, ?iter/s] 
Best score: 28.9551: : 1iter [00:01,  2.00s/iter]
Best score: 28.9551: : 1iter [00:02,  2.00s/iter]
Best score: 28.9551: : 2iter [00:02,  2.00s/iter]
Best score: 28.9551: : 3iter [00:02,  1.72iter/s]
Best score: 28.9551: : 3iter [00:02,  1.72iter/s]
Best score: 28.9551: : 4iter [00:02,  1.72iter/s]
Best score: 28.9551: : 5iter [00:02,  3.05iter/s]
Best score: 28.9551: : 5iter [00:02,  3.05iter/s]
Best score: 28.9551: : 6iter [00:02,  3.05iter/s]
Best score: 28.9551: : 7iter [00:02,  4.41iter/s]
Best score: 28.9551: : 7iter [00:02,  4.41iter/s]
Best score: 28.9551: : 8iter [00:02,  4.41iter/s]
Best score: 28.9551: : 9iter [00:02,  5.75iter/s]
Best score: 28.9551: : 9iter [00:02,  5.75iter/s]
Best score: 28.9551: : 10iter [00:02,  5.75iter/s]
Best score: 28.9551: : 11iter [00:02,  6.89iter/s]
Best score: 28.9551: : 11iter [00:02,  6.89iter/s]
Best score: 28.9551: : 12iter [00:03,  6.89iter/s]
Best score: 28.9551: : 13iter [00:03,  7.97iter/s]
Best score: 28.9551: : 13iter [00:03,  7.97iter/s]
Best score: 28.9551: : 14iter [00:03,  7.97iter/s]
Best score: 28.9551: : 15iter [00:03,  8.88iter/s]
Best score: 28.9551: : 15iter [00:03,  8.88iter/s]
Best score: 28.9551: : 16iter [00:03,  8.88iter/s]
Best score: 28.9551: : 17iter [00:03,  9.58iter/s]
Best score: 28.9551: : 17iter [00:03,  9.58iter/s]
Best score: 28.9551: : 18iter [00:03,  9.58iter/s]
Best score: 28.9551: : 19iter [00:03, 10.11iter/s]
Best score: 28.9551: : 19iter [00:03, 10.11iter/s]
Best score: 28.9551: : 20iter [00:03, 10.11iter/s]
Best score: 28.9551: : 21iter [00:03, 10.38iter/s]
Best score: 28.9551: : 21iter [00:03, 10.38iter/s]
Best score: 28.9551: : 22iter [00:03, 10.38iter/s]
Best score: 28.9551: : 23iter [00:03, 10.76iter/s]
Best score: 28.9551: : 23iter [00:04, 10.76iter/s]
Best score: 28.9551: : 24iter [00:04, 10.76iter/s]
Best score: 28.9551: : 25iter [00:04, 10.99iter/s]
Best score: 28.9551: : 25iter [00:04, 10.99iter/s]
Best score: 28.9551: : 26iter [00:04, 10.99iter/s]
Best score: 28.9551: : 27iter [00:04, 11.16iter/s]
Best score: 28.9551: : 27iter [00:04, 11.16iter/s]
Best score: 28.9551: : 28iter [00:04, 11.16iter/s]
Best score: 28.9551: : 29iter [00:04, 11.32iter/s]
Best score: 28.9551: : 29iter [00:04, 11.32iter/s]
Best score: 28.9551: : 30iter [00:04, 11.32iter/s]
Best score: 28.9551: : 31iter [00:04, 11.22iter/s]
Best score: 28.9551: : 31iter [00:04, 11.22iter/s]
Best score: 28.9551: : 32iter [00:04, 11.22iter/s]
Best score: 28.9551: : 33iter [00:04, 11.28iter/s]
Best score: 28.9551: : 33iter [00:04, 11.28iter/s]
Best score: 28.9551: : 34iter [00:04, 11.28iter/s]
Best score: 28.9551: : 35iter [00:04, 11.37iter/s]
Best score: 28.9551: : 35iter [00:05, 11.37iter/s]
Best score: 28.9551: : 36iter [00:05, 11.37iter/s]
Best score: 28.9551: : 37iter [00:05, 11.48iter/s]
Best score: 28.9551: : 37iter [00:05, 11.48iter/s]
Best score: 28.9551: : 38iter [00:05, 11.48iter/s]
Best score: 28.9551: : 39iter [00:05, 11.51iter/s]
Best score: 23.4469: : 39iter [00:05, 11.51iter/s]
Best score: 23.4469: : 40iter [00:05, 11.51iter/s]
Best score: 23.4469: : 41iter [00:05, 11.36iter/s]
Best score: 23.4469: : 41iter [00:05, 11.36iter/s]
Best score: 23.4469: : 42iter [00:05, 11.36iter/s]
Best score: 23.4469: : 43iter [00:05, 11.46iter/s]
Best score: 23.4469: : 43iter [00:05, 11.46iter/s]
Best score: 23.4469: : 44iter [00:05, 11.46iter/s]
Best score: 23.4469: : 45iter [00:05, 11.50iter/s]
Best score: 23.4469: : 45iter [00:05, 11.50iter/s]
Best score: 23.4469: : 46iter [00:06, 11.50iter/s]
Best score: 23.4469: : 47iter [00:06, 11.56iter/s]
Best score: 23.4469: : 47iter [00:06, 11.56iter/s]
Best score: 23.4469: : 48iter [00:06, 11.56iter/s]
Best score: 23.4469: : 49iter [00:06, 11.56iter/s]
[ITER 50] Best: 16.6740
[PARAMS] Current best parameters:
  fx: 508.1692
  fy: 503.5979
  px: 1027.0731
  py: 777.9790
  k1: 0.06727283
  k2: 0.02298940
  k3: -0.06163162
  k4: 0.01914654
  p1: 0.01450755
  p2: 0.00047879
  p3: 0.01128377
  p4: 0.02125695
  s1: -0.0041
  s2: -0.0308
  s3: -0.0152
  s4: -0.0066
  tilt_x: -0.0231
  tilt_y: 0.0081
  scale: 2.9037
  rotation: 0.1028

Best score: 16.6740: : 49iter [00:06, 11.56iter/s]
Best score: 16.6740: : 50iter [00:06, 11.56iter/s]
Best score: 16.6740: : 51iter [00:06, 11.43iter/s]
Best score: 16.6740: : 51iter [00:06, 11.43iter/s]
Best score: 16.6740: : 52iter [00:06, 11.43iter/s]
Best score: 16.6740: : 53iter [00:06, 11.50iter/s]
Best score: 16.6740: : 53iter [00:06, 11.50iter/s]
Best score: 16.6740: : 54iter [00:06, 11.50iter/s]
Best score: 16.6740: : 55iter [00:06, 11.58iter/s]
Best score: 16.6740: : 55iter [00:06, 11.58iter/s]
Best score: 16.6740: : 56iter [00:06, 11.58iter/s]
Best score: 16.6740: : 57iter [00:06, 11.60iter/s]
Best score: 16.6740: : 57iter [00:06, 11.60iter/s]
Best score: 16.6740: : 58iter [00:07, 11.60iter/s]
Best score: 16.6740: : 59iter [00:07, 11.64iter/s]
Best score: 11.3810: : 59iter [00:07, 11.64iter/s]
Best score: 11.3810: : 60iter [00:07, 11.64iter/s]
Best score: 11.3810: : 61iter [00:07, 11.46iter/s]
Best score: 11.3810: : 61iter [00:07, 11.46iter/s]
Best score: 11.3810: : 62iter [00:07, 11.46iter/s]
Best score: 11.3810: : 63iter [00:07, 11.56iter/s]
Best score: 11.3810: : 63iter [00:07, 11.56iter/s]
Best score: 11.3810: : 64iter [00:07, 11.56iter/s]
Best score: 11.3810: : 65iter [00:07, 11.61iter/s]
Best score: 11.3810: : 65iter [00:07, 11.61iter/s]
Best score: 11.3810: : 66iter [00:07, 11.61iter/s]
Best score: 11.3810: : 67iter [00:07, 11.62iter/s]
Best score: 11.3810: : 67iter [00:07, 11.62iter/s]
Best score: 11.3810: : 68iter [00:07, 11.62iter/s]
Best score: 11.3810: : 69iter [00:07, 11.60iter/s]
Best score: 11.3810: : 69iter [00:08, 11.60iter/s]
Best score: 11.3810: : 70iter [00:08, 11.60iter/s]
Best score: 11.3810: : 71iter [00:08, 11.40iter/s]
Best score: 11.3810: : 71iter [00:08, 11.40iter/s]
Best score: 11.3810: : 72iter [00:08, 11.40iter/s]
Best score: 11.3810: : 73iter [00:08, 11.52iter/s]
Best score: 11.3810: : 73iter [00:08, 11.52iter/s]
Best score: 11.3810: : 74iter [00:08, 11.52iter/s]
Best score: 11.3810: : 75iter [00:08, 11.57iter/s]
Best score: 11.3810: : 75iter [00:08, 11.57iter/s]
Best score: 11.3810: : 76iter [00:08, 11.57iter/s]
Best score: 11.3810: : 77iter [00:08, 11.59iter/s]
Best score: 11.3810: : 77iter [00:08, 11.59iter/s]
Best score: 11.3810: : 78iter [00:08, 11.59iter/s]
Best score: 11.3810: : 79iter [00:08, 11.63iter/s]
Best score: 9.3698: : 79iter [00:08, 11.63iter/s] 
Best score: 9.3698: : 80iter [00:08, 11.63iter/s]
Best score: 9.3698: : 81iter [00:08, 11.44iter/s]
Best score: 9.3698: : 81iter [00:09, 11.44iter/s]
Best score: 9.3698: : 82iter [00:09, 11.44iter/s]
Best score: 9.3698: : 83iter [00:09, 11.51iter/s]
Best score: 9.3698: : 83iter [00:09, 11.51iter/s]
Best score: 9.3698: : 84iter [00:09, 11.51iter/s]
Best score: 9.3698: : 85iter [00:09, 11.54iter/s]
Best score: 9.3698: : 85iter [00:09, 11.54iter/s]
Best score: 9.3698: : 86iter [00:09, 11.54iter/s]
Best score: 9.3698: : 87iter [00:09, 11.59iter/s]
Best score: 9.3698: : 87iter [00:09, 11.59iter/s]
Best score: 9.3698: : 88iter [00:09, 11.59iter/s]
Best score: 9.3698: : 89iter [00:09, 11.60iter/s]
Best score: 5.1962: : 89iter [00:09, 11.60iter/s]
Best score: 5.1962: : 90iter [00:09, 11.60iter/s]
Best score: 5.1962: : 91iter [00:09, 11.36iter/s]
Best score: 5.1962: : 91iter [00:09, 11.36iter/s]
Best score: 5.1962: : 92iter [00:10, 11.36iter/s]
Best score: 5.1962: : 93iter [00:10, 11.43iter/s]
Best score: 5.1962: : 93iter [00:10, 11.43iter/s]
Best score: 5.1962: : 94iter [00:10, 11.43iter/s]
Best score: 5.1962: : 95iter [00:10, 11.50iter/s]
Best score: 5.1962: : 95iter [00:10, 11.50iter/s]
Best score: 5.1962: : 96iter [00:10, 11.50iter/s]
Best score: 5.1962: : 97iter [00:10, 11.51iter/s]
Best score: 5.1962: : 97iter [00:10, 11.51iter/s]
Best score: 5.1962: : 98iter [00:10, 11.51iter/s]
Best score: 5.1962: : 99iter [00:10, 11.50iter/s]
[ITER 100] Best: 4.8669
[PARAMS] Current best parameters:
  fx: 531.1692
  fy: 532.4438
  px: 1016.6275
  py: 775.5827
  k1: 0.00647538
  k2: -0.07441965
  k3: 0.08766177
  k4: -0.02804285
  p1: 0.01002840
  p2: -0.02873792
  p3: 0.02598120
  p4: -0.00354398
  s1: 0.0045
  s2: -0.0163
  s3: -0.0386
  s4: 0.0222
  tilt_x: -0.0161
  tilt_y: 0.0186
  scale: 3.0216
  rotation: 0.0046

Best score: 4.8669: : 99iter [00:10, 11.50iter/s]
Best score: 4.8669: : 100iter [00:10, 11.50iter/s]
Best score: 4.8669: : 101iter [00:10,  9.85iter/s]
Best score: 4.8669: : 101iter [00:10,  9.85iter/s]
Best score: 4.8669: : 102iter [00:10,  9.85iter/s]
Best score: 4.8669: : 103iter [00:10, 10.28iter/s]
Best score: 4.8669: : 103iter [00:11, 10.28iter/s]
Best score: 4.8669: : 104iter [00:11, 10.28iter/s]
Best score: 4.8669: : 105iter [00:11, 10.61iter/s]
Best score: 4.8669: : 105iter [00:11, 10.61iter/s]
Best score: 4.8669: : 106iter [00:11, 10.61iter/s]
Best score: 4.8669: : 107iter [00:11, 10.89iter/s]
Best score: 4.8669: : 107iter [00:11, 10.89iter/s]
Best score: 4.8669: : 108iter [00:11, 10.89iter/s]
Best score: 4.8669: : 109iter [00:11, 11.08iter/s]
Best score: 4.8669: : 109iter [00:11, 11.08iter/s]
Best score: 4.8669: : 110iter [00:11, 11.08iter/s]
Best score: 4.8669: : 111iter [00:11, 11.06iter/s]
Best score: 4.8669: : 111iter [00:11, 11.06iter/s]
Best score: 4.8669: : 112iter [00:11, 11.06iter/s]
Best score: 4.8669: : 113iter [00:11, 11.21iter/s]
Best score: 4.8669: : 113iter [00:11, 11.21iter/s]
Best score: 4.8669: : 114iter [00:12, 11.21iter/s]
Best score: 4.8669: : 115iter [00:12, 11.30iter/s]
Best score: 4.8669: : 115iter [00:12, 11.30iter/s]
Best score: 4.8669: : 116iter [00:12, 11.30iter/s]
Best score: 4.8669: : 117iter [00:12, 11.36iter/s]
Best score: 4.8669: : 117iter [00:12, 11.36iter/s]
Best score: 4.8669: : 118iter [00:12, 11.36iter/s]
Best score: 4.8669: : 119iter [00:12, 11.43iter/s]
Best score: 4.8669: : 119iter [00:12, 11.43iter/s]
Best score: 4.8669: : 120iter [00:12, 11.43iter/s]
Best score: 4.8669: : 121iter [00:12, 11.29iter/s]
Best score: 4.8669: : 121iter [00:12, 11.29iter/s]
Best score: 4.8669: : 122iter [00:12, 11.29iter/s]
Best score: 4.8669: : 123iter [00:12, 11.42iter/s]
Best score: 4.8669: : 123iter [00:12, 11.42iter/s]
Best score: 4.8669: : 124iter [00:12, 11.42iter/s]
Best score: 4.8669: : 125iter [00:12, 11.42iter/s]
Best score: 4.8669: : 125iter [00:12, 11.42iter/s]
Best score: 4.8669: : 126iter [00:13, 11.42iter/s]
Best score: 4.8669: : 127iter [00:13, 11.44iter/s]
Best score: 4.8669: : 127iter [00:13, 11.44iter/s]
Best score: 4.8669: : 128iter [00:13, 11.44iter/s]
Best score: 4.8669: : 129iter [00:13, 11.46iter/s]
Best score: 4.8669: : 129iter [00:13, 11.46iter/s]
Best score: 4.8669: : 130iter [00:13, 11.46iter/s]
Best score: 4.8669: : 131iter [00:13, 11.26iter/s]
Best score: 4.8669: : 131iter [00:13, 11.26iter/s]
Best score: 4.8669: : 132iter [00:13, 11.26iter/s]
Best score: 4.8669: : 133iter [00:13, 11.37iter/s]
Best score: 4.8669: : 133iter [00:13, 11.37iter/s]
Best score: 4.8669: : 134iter [00:13, 11.37iter/s]
Best score: 4.8669: : 135iter [00:13, 11.40iter/s]
Best score: 4.8669: : 135iter [00:13, 11.40iter/s]
Best score: 4.8669: : 136iter [00:13, 11.40iter/s]
Best score: 4.8669: : 137iter [00:13, 11.46iter/s]
Best score: 4.8669: : 137iter [00:14, 11.46iter/s]
Best score: 4.8669: : 138iter [00:14, 11.46iter/s]
Best score: 4.8669: : 139iter [00:14, 11.46iter/s]
Best score: 4.8669: : 139iter [00:14, 11.46iter/s]
Best score: 4.8669: : 140iter [00:14, 11.46iter/s]
Best score: 4.8669: : 141iter [00:14, 11.30iter/s]
Best score: 4.8669: : 141iter [00:14, 11.30iter/s]
Best score: 4.8669: : 142iter [00:14, 11.30iter/s]
Best score: 4.8669: : 143iter [00:14, 11.40iter/s]
Best score: 4.8669: : 143iter [00:14, 11.40iter/s]
Best score: 4.8669: : 144iter [00:14, 11.40iter/s]
Best score: 4.8669: : 145iter [00:14, 11.41iter/s]
Best score: 4.8669: : 145iter [00:14, 11.41iter/s]
Best score: 4.8669: : 146iter [00:14, 11.41iter/s]
Best score: 4.8669: : 147iter [00:14, 11.43iter/s]
Best score: 4.8669: : 147iter [00:14, 11.43iter/s]
Best score: 4.8669: : 148iter [00:14, 11.43iter/s]
Best score: 4.8669: : 149iter [00:14, 11.41iter/s]
[ITER 150] Best: 4.8669
[PARAMS] Current best parameters:
  fx: 531.1692
  fy: 532.4438
  px: 1016.6275
  py: 775.5827
  k1: 0.00647538
  k2: -0.07441965
  k3: 0.08766177
  k4: -0.02804285
  p1: 0.01002840
  p2: -0.02873792
  p3: 0.02598120
  p4: -0.00354398
  s1: 0.0045
  s2: -0.0163
  s3: -0.0386
  s4: 0.0222
  tilt_x: -0.0161
  tilt_y: 0.0186
  scale: 3.0216
  rotation: 0.0046

Best score: 4.8669: : 149iter [00:15, 11.41iter/s]
[Periodic outlier @ iter 50] Removing 1500 frame 5 (score=119.55, threshold=35.61)
  Remaining frames: 79

Best score: 4.8669: : 150iter [00:15, 11.41iter/s]
Best score: 4.8669: : 151iter [00:15,  6.46iter/s]
Best score: 4.8669: : 151iter [00:15,  6.46iter/s]
Best score: 4.8669: : 152iter [00:15,  6.46iter/s]
Best score: 4.8669: : 153iter [00:15,  7.46iter/s]
Best score: 4.8669: : 153iter [00:15,  7.46iter/s]
Best score: 4.8669: : 154iter [00:15,  7.46iter/s]
Best score: 4.8669: : 155iter [00:15,  8.37iter/s]
Best score: 4.8669: : 155iter [00:16,  8.37iter/s]
Best score: 4.8669: : 156iter [00:16,  8.37iter/s]
Best score: 4.8669: : 157iter [00:16,  7.42iter/s]
Best score: 4.8669: : 157iter [00:16,  7.42iter/s]
Best score: 4.8669: : 158iter [00:16,  7.42iter/s]
Best score: 4.8669: : 159iter [00:16,  8.36iter/s]
Best score: 3.5103: : 159iter [00:16,  8.36iter/s]
Best score: 3.5103: : 160iter [00:16,  8.36iter/s]
Best score: 3.5103: : 161iter [00:16,  9.01iter/s]
Best score: 3.5103: : 161iter [00:16,  9.01iter/s]
Best score: 3.5103: : 162iter [00:16,  9.01iter/s]
Best score: 3.5103: : 163iter [00:16,  9.69iter/s]
Best score: 3.5103: : 163iter [00:16,  9.69iter/s]
Best score: 3.5103: : 164iter [00:16,  9.69iter/s]
Best score: 3.5103: : 165iter [00:16, 10.21iter/s]
Best score: 3.5103: : 165iter [00:17, 10.21iter/s]
Best score: 3.5103: : 166iter [00:17, 10.21iter/s]
Best score: 3.5103: : 167iter [00:17, 10.62iter/s]
Best score: 3.5103: : 167iter [00:17, 10.62iter/s]
Best score: 3.5103: : 168iter [00:17, 10.62iter/s]
Best score: 3.5103: : 169iter [00:17, 10.96iter/s]
Best score: 3.5103: : 169iter [00:17, 10.96iter/s]
Best score: 3.5103: : 170iter [00:17, 10.96iter/s]
Best score: 3.5103: : 171iter [00:17, 10.99iter/s]
Best score: 3.5103: : 171iter [00:17, 10.99iter/s]
Best score: 3.5103: : 172iter [00:17, 10.99iter/s]
Best score: 3.5103: : 173iter [00:17, 11.19iter/s]
Best score: 3.5103: : 173iter [00:17, 11.19iter/s]
Best score: 3.5103: : 174iter [00:17, 11.19iter/s]
Best score: 3.5103: : 175iter [00:17, 11.33iter/s]
Best score: 3.5103: : 175iter [00:17, 11.33iter/s]
Best score: 3.5103: : 176iter [00:18, 11.33iter/s]
Best score: 3.5103: : 177iter [00:18, 11.44iter/s]
Best score: 3.5103: : 177iter [00:18, 11.44iter/s]
Best score: 3.5103: : 178iter [00:18, 11.44iter/s]
Best score: 3.5103: : 179iter [00:18, 11.50iter/s]
Best score: 3.5103: : 179iter [00:18, 11.50iter/s]
Best score: 3.5103: : 180iter [00:18, 11.50iter/s]
Best score: 3.5103: : 181iter [00:18, 11.38iter/s]
Best score: 3.5103: : 181iter [00:18, 11.38iter/s]
Best score: 3.5103: : 182iter [00:18, 11.38iter/s]
Best score: 3.5103: : 183iter [00:18, 11.49iter/s]
Best score: 3.5103: : 183iter [00:18, 11.49iter/s]
Best score: 3.5103: : 184iter [00:18, 11.49iter/s]
Best score: 3.5103: : 185iter [00:18, 11.61iter/s]
Best score: 3.5103: : 185iter [00:18, 11.61iter/s]
Best score: 3.5103: : 186iter [00:18, 11.61iter/s]
Best score: 3.5103: : 187iter [00:18, 11.69iter/s]
Best score: 3.5103: : 187iter [00:18, 11.69iter/s]
Best score: 3.5103: : 188iter [00:19, 11.69iter/s]
Best score: 3.5103: : 189iter [00:19, 11.66iter/s]
Best score: 3.5103: : 189iter [00:19, 11.66iter/s]
Best score: 3.5103: : 190iter [00:19, 11.66iter/s]
Best score: 3.5103: : 191iter [00:19, 11.46iter/s]
Best score: 3.5103: : 191iter [00:19, 11.46iter/s]
Best score: 3.5103: : 192iter [00:19, 11.46iter/s]
Best score: 3.5103: : 193iter [00:19, 11.54iter/s]
Best score: 3.5103: : 193iter [00:19, 11.54iter/s]
Best score: 3.5103: : 194iter [00:19, 11.54iter/s]
Best score: 3.5103: : 195iter [00:19, 11.63iter/s]
Best score: 3.5103: : 195iter [00:19, 11.63iter/s]
Best score: 3.5103: : 196iter [00:19, 11.63iter/s]
Best score: 3.5103: : 197iter [00:19, 11.66iter/s]
Best score: 3.5103: : 197iter [00:19, 11.66iter/s]
Best score: 3.5103: : 198iter [00:19, 11.66iter/s]
Best score: 3.5103: : 199iter [00:19, 11.68iter/s]
[ITER 200] Best: 3.5103
[PARAMS] Current best parameters:
  fx: 531.1692
  fy: 532.4438
  px: 1016.6275
  py: 775.5827
  k1: 0.00647538
  k2: -0.07441965
  k3: 0.08766177
  k4: -0.02804285
  p1: 0.01002840
  p2: -0.02873792
  p3: 0.02598120
  p4: -0.00354398
  s1: 0.0045
  s2: -0.0163
  s3: -0.0386
  s4: 0.0222
  tilt_x: -0.0161
  tilt_y: 0.0186
  scale: 3.0216
  rotation: 0.0046

Best score: 3.5103: : 199iter [00:20, 11.68iter/s]
[Periodic outlier @ iter 100] Removing 2000L frame 7 (score=47.29, threshold=35.34)
  Remaining frames: 78

Best score: 3.5103: : 200iter [00:20, 11.68iter/s]
Best score: 3.5103: : 201iter [00:20,  6.56iter/s]
Best score: 3.5103: : 201iter [00:20,  6.56iter/s]
Best score: 3.5103: : 202iter [00:20,  6.56iter/s]
Best score: 3.5103: : 203iter [00:20,  7.57iter/s]
Best score: 3.5103: : 203iter [00:20,  7.57iter/s]
Best score: 3.5103: : 204iter [00:20,  7.57iter/s]
Best score: 3.5103: : 205iter [00:20,  8.49iter/s]
Best score: 3.5103: : 205iter [00:20,  8.49iter/s]
Best score: 3.5103: : 206iter [00:21,  8.49iter/s]
Best score: 3.5103: : 207iter [00:21,  9.29iter/s]
Best score: 3.5103: : 207iter [00:21,  9.29iter/s]
Best score: 3.5103: : 208iter [00:21,  9.29iter/s]
Best score: 3.5103: : 209iter [00:21,  9.93iter/s]
Best score: 2.9366: : 209iter [00:21,  9.93iter/s]
Best score: 2.9366: : 210iter [00:21,  9.93iter/s]
Best score: 2.9366: : 211iter [00:21, 10.32iter/s]
Best score: 2.9366: : 211iter [00:21, 10.32iter/s]
Best score: 2.9366: : 212iter [00:21, 10.32iter/s]
Best score: 2.9366: : 213iter [00:21, 10.79iter/s]
Best score: 2.9366: : 213iter [00:21, 10.79iter/s]
Best score: 2.9366: : 214iter [00:21, 10.79iter/s]
Best score: 2.9366: : 215iter [00:21, 11.07iter/s]
Best score: 2.9366: : 215iter [00:21, 11.07iter/s]
Best score: 2.9366: : 216iter [00:21, 11.07iter/s]
Best score: 2.9366: : 217iter [00:21, 11.31iter/s]
Best score: 2.9366: : 217iter [00:21, 11.31iter/s]
Best score: 2.9366: : 218iter [00:22, 11.31iter/s]
Best score: 2.9366: : 219iter [00:22, 11.47iter/s]
Best score: 2.9366: : 219iter [00:22, 11.47iter/s]
Best score: 2.9366: : 220iter [00:22, 11.47iter/s]
Best score: 2.9366: : 221iter [00:22, 11.38iter/s]
Best score: 2.9366: : 221iter [00:22, 11.38iter/s]
Best score: 2.9366: : 222iter [00:22, 11.38iter/s]
Best score: 2.9366: : 223iter [00:22, 11.50iter/s]
Best score: 2.9366: : 223iter [00:22, 11.50iter/s]
Best score: 2.9366: : 224iter [00:22, 11.50iter/s]
Best score: 2.9366: : 225iter [00:22, 11.60iter/s]
Best score: 2.9366: : 225iter [00:22, 11.60iter/s]
Best score: 2.9366: : 226iter [00:22, 11.60iter/s]
Best score: 2.9366: : 227iter [00:22, 11.70iter/s]
Best score: 2.9366: : 227iter [00:22, 11.70iter/s]
Best score: 2.9366: : 228iter [00:22, 11.70iter/s]
Best score: 2.9366: : 229iter [00:22, 11.71iter/s]
Best score: 2.9366: : 229iter [00:23, 11.71iter/s]
Best score: 2.9366: : 230iter [00:23, 11.71iter/s]
Best score: 2.9366: : 231iter [00:23, 11.52iter/s]
Best score: 2.9366: : 231iter [00:23, 11.52iter/s]
Best score: 2.9366: : 232iter [00:23, 11.52iter/s]
Best score: 2.9366: : 233iter [00:23, 11.64iter/s]
Best score: 2.9366: : 233iter [00:23, 11.64iter/s]
Best score: 2.9366: : 234iter [00:23, 11.64iter/s]
Best score: 2.9366: : 235iter [00:23, 11.70iter/s]
Best score: 2.9366: : 235iter [00:23, 11.70iter/s]
Best score: 2.9366: : 236iter [00:23, 11.70iter/s]
Best score: 2.9366: : 237iter [00:23, 11.81iter/s]
Best score: 2.9366: : 237iter [00:23, 11.81iter/s]
Best score: 2.9366: : 238iter [00:23, 11.81iter/s]
Best score: 2.9366: : 239iter [00:23, 11.84iter/s]
Best score: 2.9366: : 239iter [00:23, 11.84iter/s]
Best score: 2.9366: : 240iter [00:23, 11.84iter/s]
Best score: 2.9366: : 241iter [00:23, 11.69iter/s]
Best score: 2.9366: : 241iter [00:24, 11.69iter/s]
Best score: 2.9366: : 242iter [00:24, 11.69iter/s]
Best score: 2.9366: : 243iter [00:24, 11.78iter/s]
Best score: 2.9366: : 243iter [00:24, 11.78iter/s]
Best score: 2.9366: : 244iter [00:24, 11.78iter/s]
Best score: 2.9366: : 245iter [00:24, 11.80iter/s]
Best score: 2.9366: : 245iter [00:24, 11.80iter/s]
Best score: 2.9366: : 246iter [00:24, 11.80iter/s]
Best score: 2.9366: : 247iter [00:24, 11.88iter/s]
Best score: 2.9366: : 247iter [00:24, 11.88iter/s]
Best score: 2.9366: : 248iter [00:24, 11.88iter/s]
Best score: 2.9366: : 249iter [00:24, 11.89iter/s]
[ITER 250] Best: 2.9366
[PARAMS] Current best parameters:
  fx: 531.1692
  fy: 532.4438
  px: 1016.6275
  py: 775.5827
  k1: 0.00647538
  k2: -0.07441965
  k3: 0.08766177
  k4: -0.02804285
  p1: 0.01002840
  p2: -0.02873792
  p3: 0.02598120
  p4: -0.00354398
  s1: 0.0045
  s2: -0.0163
  s3: -0.0386
  s4: 0.0222
  tilt_x: -0.0161
  tilt_y: 0.0186
  scale: 3.0216
  rotation: 0.0046

Best score: 2.9366: : 249iter [00:24, 11.89iter/s]
Best score: 2.9366: : 250iter [00:25, 11.89iter/s]
Best score: 2.9366: : 251iter [00:25,  7.64iter/s]
Best score: 2.9366: : 251iter [00:25,  7.64iter/s]
Best score: 2.9366: : 252iter [00:25,  7.64iter/s]
Best score: 2.9366: : 253iter [00:25,  8.55iter/s]
Best score: 2.9366: : 253iter [00:25,  8.55iter/s]
Best score: 2.9366: : 254iter [00:25,  8.55iter/s]
Best score: 2.9366: : 255iter [00:25,  9.32iter/s]
Best score: 2.9366: : 255iter [00:25,  9.32iter/s]
Best score: 2.9366: : 256iter [00:25,  9.32iter/s]
Best score: 2.9366: : 257iter [00:25,  9.97iter/s]
Best score: 2.9366: : 257iter [00:25,  9.97iter/s]
Best score: 2.9366: : 258iter [00:25,  9.97iter/s]
Best score: 2.9366: : 259iter [00:25, 10.50iter/s]
Best score: 2.9366: : 259iter [00:25, 10.50iter/s]
Best score: 2.9366: : 260iter [00:25, 10.50iter/s]
Best score: 2.9366: : 261iter [00:25, 10.71iter/s]
Best score: 2.9366: : 261iter [00:26, 10.71iter/s]
Best score: 2.9366: : 262iter [00:26, 10.71iter/s]
Best score: 2.9366: : 263iter [00:26, 11.08iter/s]
Best score: 2.9366: : 263iter [00:26, 11.08iter/s]
Best score: 2.9366: : 264iter [00:26, 11.08iter/s]
Best score: 2.9366: : 265iter [00:26, 11.37iter/s]
Best score: 2.9366: : 265iter [00:26, 11.37iter/s]
Best score: 2.9366: : 266iter [00:26, 11.37iter/s]
Best score: 2.9366: : 267iter [00:26, 11.58iter/s]
Best score: 2.9366: : 267iter [00:26, 11.58iter/s]
Best score: 2.9366: : 268iter [00:26, 11.58iter/s]
Best score: 2.9366: : 269iter [00:26, 11.73iter/s]
Best score: 2.9366: : 269iter [00:26, 11.73iter/s]
Best score: 2.9366: : 270iter [00:26, 11.73iter/s]
Best score: 2.9366: : 271iter [00:26, 11.63iter/s]
Best score: 2.9366: : 271iter [00:26, 11.63iter/s]
Best score: 2.9366: : 272iter [00:26, 11.63iter/s]
Best score: 2.9366: : 273iter [00:26, 11.71iter/s]
Best score: 2.9366: : 273iter [00:27, 11.71iter/s]
Best score: 2.9366: : 274iter [00:27, 11.71iter/s]
Best score: 2.9366: : 275iter [00:27, 11.77iter/s]
Best score: 2.9366: : 275iter [00:27, 11.77iter/s]
Best score: 2.9366: : 276iter [00:27, 11.77iter/s]
Best score: 2.9366: : 277iter [00:27, 11.88iter/s]
Best score: 2.9366: : 277iter [00:27, 11.88iter/s]
Best score: 2.9366: : 278iter [00:27, 11.88iter/s]
Best score: 2.9366: : 279iter [00:27, 11.94iter/s]
Best score: 2.9366: : 279iter [00:27, 11.94iter/s]
Best score: 2.9366: : 280iter [00:27, 11.94iter/s]
Best score: 2.9366: : 281iter [00:27, 11.77iter/s]
Best score: 2.9366: : 281iter [00:27, 11.77iter/s]
Best score: 2.9366: : 282iter [00:27, 11.77iter/s]
Best score: 2.9366: : 283iter [00:27, 11.87iter/s]
Best score: 2.9366: : 283iter [00:27, 11.87iter/s]
Best score: 2.9366: : 284iter [00:27, 11.87iter/s]
Best score: 2.9366: : 285iter [00:27, 11.97iter/s]
Best score: 2.9366: : 285iter [00:28, 11.97iter/s]
Best score: 2.9366: : 286iter [00:28, 11.97iter/s]
Best score: 2.9366: : 287iter [00:28, 12.02iter/s]
Best score: 2.9366: : 287iter [00:28, 12.02iter/s]
Best score: 2.9366: : 288iter [00:28, 12.02iter/s]
Best score: 2.9366: : 289iter [00:28, 12.07iter/s]
Best score: 2.9366: : 289iter [00:28, 12.07iter/s]
Best score: 2.9366: : 290iter [00:28, 12.07iter/s]
Best score: 2.9366: : 291iter [00:28, 11.92iter/s]
Best score: 2.9366: : 291iter [00:28, 11.92iter/s]
Best score: 2.9366: : 292iter [00:28, 11.92iter/s]
Best score: 2.9366: : 293iter [00:28, 11.96iter/s]
Best score: 2.9366: : 293iter [00:28, 11.96iter/s]
Best score: 2.9366: : 294iter [00:28, 11.96iter/s]
Best score: 2.9366: : 295iter [00:28, 12.03iter/s]
Best score: 2.9366: : 295iter [00:28, 12.03iter/s]
Best score: 2.9366: : 296iter [00:28, 12.03iter/s]
Best score: 2.9366: : 297iter [00:28, 12.01iter/s]
Best score: 2.9366: : 297iter [00:29, 12.01iter/s]
Best score: 2.9366: : 298iter [00:29, 12.01iter/s]
Best score: 2.9366: : 299iter [00:29, 12.02iter/s]
[ITER 300] Best: 2.9366
[PARAMS] Current best parameters:
  fx: 531.1692
  fy: 532.4438
  px: 1016.6275
  py: 775.5827
  k1: 0.00647538
  k2: -0.07441965
  k3: 0.08766177
  k4: -0.02804285
  p1: 0.01002840
  p2: -0.02873792
  p3: 0.02598120
  p4: -0.00354398
  s1: 0.0045
  s2: -0.0163
  s3: -0.0386
  s4: 0.0222
  tilt_x: -0.0161
  tilt_y: 0.0186
  scale: 3.0216
  rotation: 0.0046

Best score: 2.9366: : 299iter [00:29, 12.02iter/s]
Best score: 2.9366: : 300iter [00:29, 12.02iter/s]
Best score: 2.9366: : 301iter [00:29,  7.71iter/s]
Best score: 2.9366: : 301iter [00:29,  7.71iter/s]
Best score: 2.9366: : 302iter [00:29,  7.71iter/s]
Best score: 2.9366: : 303iter [00:29,  8.61iter/s]
Best score: 2.9366: : 303iter [00:29,  8.61iter/s]
Best score: 2.9366: : 304iter [00:29,  8.61iter/s]
Best score: 2.9366: : 305iter [00:29,  9.39iter/s]
Best score: 2.9366: : 305iter [00:30,  9.39iter/s]
Best score: 2.9366: : 306iter [00:30,  9.39iter/s]
Best score: 2.9366: : 307iter [00:30, 10.08iter/s]
Best score: 2.9366: : 307iter [00:30, 10.08iter/s]
Best score: 2.9366: : 308iter [00:30, 10.08iter/s]
Best score: 2.9366: : 309iter [00:30, 10.63iter/s]
Best score: 2.5005: : 309iter [00:30, 10.63iter/s]
Best score: 2.5005: : 310iter [00:30, 10.63iter/s]
Best score: 2.5005: : 311iter [00:30, 10.87iter/s]
Best score: 2.5005: : 311iter [00:30, 10.87iter/s]
Best score: 2.5005: : 312iter [00:30, 10.87iter/s]
Best score: 2.5005: : 313iter [00:30, 11.19iter/s]
Best score: 2.5005: : 313iter [00:30, 11.19iter/s]
Best score: 2.5005: : 314iter [00:30, 11.19iter/s]
Best score: 2.5005: : 315iter [00:30, 11.48iter/s]
Best score: 2.5005: : 315iter [00:30, 11.48iter/s]
Best score: 2.5005: : 316iter [00:30, 11.48iter/s]
Best score: 2.5005: : 317iter [00:30, 11.67iter/s]
Best score: 2.5005: : 317iter [00:31, 11.67iter/s]
Best score: 2.5005: : 318iter [00:31, 11.67iter/s]
Best score: 2.5005: : 319iter [00:31, 11.81iter/s]
Best score: 1.7372: : 319iter [00:31, 11.81iter/s]
Best score: 1.7372: : 320iter [00:31, 11.81iter/s]
Best score: 1.7372: : 321iter [00:31, 11.71iter/s]
Best score: 1.7372: : 321iter [00:31, 11.71iter/s]
Best score: 1.7372: : 322iter [00:31, 11.71iter/s]
Best score: 1.7372: : 323iter [00:31, 11.83iter/s]
Best score: 1.7372: : 323iter [00:31, 11.83iter/s]
Best score: 1.7372: : 324iter [00:31, 11.83iter/s]
Best score: 1.7372: : 325iter [00:31, 11.91iter/s]
Best score: 1.7372: : 325iter [00:31, 11.91iter/s]
Best score: 1.7372: : 326iter [00:31, 11.91iter/s]
Best score: 1.7372: : 327iter [00:31, 11.98iter/s]
Best score: 1.7372: : 327iter [00:31, 11.98iter/s]
Best score: 1.7372: : 328iter [00:31, 11.98iter/s]
Best score: 1.7372: : 329iter [00:31, 12.03iter/s]
Best score: 1.5348: : 329iter [00:32, 12.03iter/s]
Best score: 1.5348: : 330iter [00:32, 12.03iter/s]
Best score: 1.5348: : 331iter [00:32, 11.86iter/s]
Best score: 1.5348: : 331iter [00:32, 11.86iter/s]
Best score: 1.5348: : 332iter [00:32, 11.86iter/s]
Best score: 1.5348: : 333iter [00:32, 11.93iter/s]
Best score: 1.5348: : 333iter [00:32, 11.93iter/s]
Best score: 1.5348: : 334iter [00:32, 11.93iter/s]
Best score: 1.5348: : 335iter [00:32, 11.95iter/s]
Best score: 1.5348: : 335iter [00:32, 11.95iter/s]
Best score: 1.5348: : 336iter [00:32, 11.95iter/s]
Best score: 1.5348: : 337iter [00:32, 11.98iter/s]
Best score: 1.5348: : 337iter [00:32, 11.98iter/s]
Best score: 1.5348: : 338iter [00:32, 11.98iter/s]
Best score: 1.5348: : 339iter [00:32, 12.03iter/s]
Best score: 0.8473: : 339iter [00:32, 12.03iter/s]
Best score: 0.8473: : 340iter [00:32, 12.03iter/s]
Best score: 0.8473: : 341iter [00:32, 11.86iter/s]
Best score: 0.8473: : 341iter [00:33, 11.86iter/s]
Best score: 0.8473: : 342iter [00:33, 11.86iter/s]
Best score: 0.8473: : 343iter [00:33, 11.95iter/s]
Best score: 0.8473: : 343iter [00:33, 11.95iter/s]
Best score: 0.8473: : 344iter [00:33, 11.95iter/s]
Best score: 0.8473: : 345iter [00:33, 12.02iter/s]
Best score: 0.8473: : 345iter [00:33, 12.02iter/s]
Best score: 0.8473: : 346iter [00:33, 12.02iter/s]
Best score: 0.8473: : 347iter [00:33, 12.06iter/s]
Best score: 0.8473: : 347iter [00:33, 12.06iter/s]
Best score: 0.8473: : 348iter [00:33, 12.06iter/s]
Best score: 0.8473: : 349iter [00:33, 12.09iter/s]
[ITER 350] Best: 0.8135
[PARAMS] Current best parameters:
  fx: 531.2609
  fy: 531.4374
  px: 1028.3330
  py: 766.6143
  k1: 0.04424790
  k2: -0.08918177
  k3: 0.06319431
  k4: -0.01561223
  p1: -0.00168918
  p2: -0.03832133
  p3: 0.04210821
  p4: -0.00680610
  s1: -0.0033
  s2: 0.0053
  s3: -0.0469
  s4: 0.0150
  tilt_x: -0.0289
  tilt_y: -0.0566
  scale: 2.9735
  rotation: -0.1280

Best score: 0.8135: : 349iter [00:33, 12.09iter/s]
Best score: 0.8135: : 350iter [00:34, 12.09iter/s]
Best score: 0.8135: : 351iter [00:34,  7.67iter/s]
Best score: 0.8135: : 351iter [00:34,  7.67iter/s]
Best score: 0.8135: : 352iter [00:34,  7.67iter/s]
Best score: 0.8135: : 353iter [00:34,  8.63iter/s]
Best score: 0.8135: : 353iter [00:34,  8.63iter/s]
Best score: 0.8135: : 354iter [00:34,  8.63iter/s]
Best score: 0.8135: : 355iter [00:34,  9.45iter/s]
Best score: 0.8135: : 355iter [00:34,  9.45iter/s]
Best score: 0.8135: : 356iter [00:34,  9.45iter/s]
Best score: 0.8135: : 357iter [00:34, 10.08iter/s]
Best score: 0.8135: : 357iter [00:34, 10.08iter/s]
Best score: 0.8135: : 358iter [00:34, 10.08iter/s]
Best score: 0.8135: : 359iter [00:34, 10.61iter/s]
Best score: 0.5569: : 359iter [00:34, 10.61iter/s]
Best score: 0.5569: : 360iter [00:34, 10.61iter/s]
Best score: 0.5569: : 361iter [00:34, 10.83iter/s]
Best score: 0.5569: : 361iter [00:34, 10.83iter/s]
Best score: 0.5569: : 362iter [00:35, 10.83iter/s]
Best score: 0.5569: : 363iter [00:35, 11.20iter/s]
Best score: 0.5569: : 363iter [00:35, 11.20iter/s]
Best score: 0.5569: : 364iter [00:35, 11.20iter/s]
Best score: 0.5569: : 365iter [00:35, 11.44iter/s]
Best score: 0.5569: : 365iter [00:35, 11.44iter/s]
Best score: 0.5569: : 366iter [00:35, 11.44iter/s]
Best score: 0.5569: : 367iter [00:35, 11.64iter/s]
Best score: 0.5569: : 367iter [00:35, 11.64iter/s]
Best score: 0.5569: : 368iter [00:35, 11.64iter/s]
Best score: 0.5569: : 369iter [00:35, 11.77iter/s]
Best score: 0.5569: : 369iter [00:35, 11.77iter/s]
Best score: 0.5569: : 370iter [00:35, 11.77iter/s]
Best score: 0.5569: : 371iter [00:35, 11.67iter/s]
Best score: 0.5569: : 371iter [00:35, 11.67iter/s]
Best score: 0.5569: : 372iter [00:35, 11.67iter/s]
Best score: 0.5569: : 373iter [00:35, 11.73iter/s]
Best score: 0.5569: : 373iter [00:35, 11.73iter/s]
Best score: 0.5569: : 374iter [00:36, 11.73iter/s]
Best score: 0.5569: : 375iter [00:36, 11.85iter/s]
Best score: 0.5569: : 375iter [00:36, 11.85iter/s]
Best score: 0.5569: : 376iter [00:36, 11.85iter/s]
Best score: 0.5569: : 377iter [00:36, 11.93iter/s]
Best score: 0.5569: : 377iter [00:36, 11.93iter/s]
Best score: 0.5569: : 378iter [00:36, 11.93iter/s]
Best score: 0.5569: : 379iter [00:36, 11.98iter/s]
Best score: 0.5294: : 379iter [00:36, 11.98iter/s]
Best score: 0.5294: : 380iter [00:36, 11.98iter/s]
Best score: 0.5294: : 381iter [00:36, 11.82iter/s]
Best score: 0.5294: : 381iter [00:36, 11.82iter/s]
Best score: 0.5294: : 382iter [00:36, 11.82iter/s]
Best score: 0.5294: : 383iter [00:36, 11.92iter/s]
Best score: 0.5294: : 383iter [00:36, 11.92iter/s]
Best score: 0.5294: : 384iter [00:36, 11.92iter/s]
Best score: 0.5294: : 385iter [00:36, 11.99iter/s]
Best score: 0.5294: : 385iter [00:36, 11.99iter/s]
Best score: 0.5294: : 386iter [00:37, 11.99iter/s]
Best score: 0.5294: : 387iter [00:37, 12.03iter/s]
Best score: 0.5294: : 387iter [00:37, 12.03iter/s]
Best score: 0.5294: : 388iter [00:37, 12.03iter/s]
Best score: 0.5294: : 389iter [00:37, 12.07iter/s]
Best score: 0.5294: : 389iter [00:37, 12.07iter/s]
Best score: 0.5294: : 390iter [00:37, 12.07iter/s]
Best score: 0.5294: : 391iter [00:37, 11.87iter/s]
Best score: 0.5294: : 391iter [00:37, 11.87iter/s]
Best score: 0.5294: : 392iter [00:37, 11.87iter/s]
Best score: 0.5294: : 393iter [00:37, 11.94iter/s]
Best score: 0.5294: : 393iter [00:37, 11.94iter/s]
Best score: 0.5294: : 394iter [00:37, 11.94iter/s]
Best score: 0.5294: : 395iter [00:37, 11.99iter/s]
Best score: 0.5294: : 395iter [00:37, 11.99iter/s]
Best score: 0.5294: : 396iter [00:37, 11.99iter/s]
Best score: 0.5294: : 397iter [00:37, 12.03iter/s]
Best score: 0.5294: : 397iter [00:37, 12.03iter/s]
Best score: 0.5294: : 398iter [00:38, 12.03iter/s]
Best score: 0.5294: : 399iter [00:38, 12.07iter/s]
[ITER 400] Best: 0.5206
[PARAMS] Current best parameters:
  fx: 529.6757
  fy: 530.2893
  px: 1029.0638
  py: 765.0052
  k1: 0.05240057
  k2: -0.09061583
  k3: 0.05879243
  k4: -0.01389437
  p1: -0.00460942
  p2: -0.03685383
  p3: 0.04307486
  p4: -0.00910287
  s1: -0.0058
  s2: 0.0075
  s3: -0.0447
  s4: 0.0122
  tilt_x: -0.0307
  tilt_y: -0.0606
  scale: 2.9650
  rotation: -0.1794

Best score: 0.5206: : 399iter [00:38, 12.07iter/s]
Best score: 0.5206: : 400iter [00:38, 12.07iter/s]
Best score: 0.5206: : 401iter [00:38,  7.71iter/s]
Best score: 0.5206: : 401iter [00:38,  7.71iter/s]
Best score: 0.5206: : 402iter [00:38,  7.71iter/s]
Best score: 0.5206: : 403iter [00:38,  8.66iter/s]
Best score: 0.5206: : 403iter [00:38,  8.66iter/s]
Best score: 0.5206: : 404iter [00:38,  8.66iter/s]
Best score: 0.5206: : 405iter [00:38,  9.47iter/s]
Best score: 0.5206: : 405iter [00:38,  9.47iter/s]
Best score: 0.5206: : 406iter [00:39,  9.47iter/s]
Best score: 0.5206: : 407iter [00:39, 10.12iter/s]
Best score: 0.5206: : 407iter [00:39, 10.12iter/s]
Best score: 0.5206: : 408iter [00:39, 10.12iter/s]
Best score: 0.5206: : 409iter [00:39, 10.64iter/s]
Best score: 0.4936: : 409iter [00:39, 10.64iter/s]
Best score: 0.4936: : 410iter [00:39, 10.64iter/s]
Best score: 0.4936: : 411iter [00:39, 10.88iter/s]
Best score: 0.4936: : 411iter [00:39, 10.88iter/s]
Best score: 0.4936: : 412iter [00:39, 10.88iter/s]
Best score: 0.4936: : 413iter [00:39, 11.23iter/s]
Best score: 0.4936: : 413iter [00:39, 11.23iter/s]
Best score: 0.4936: : 414iter [00:39, 11.23iter/s]
Best score: 0.4936: : 415iter [00:39, 11.50iter/s]
Best score: 0.4936: : 415iter [00:39, 11.50iter/s]
Best score: 0.4936: : 416iter [00:39, 11.50iter/s]
Best score: 0.4936: : 417iter [00:39, 11.68iter/s]
Best score: 0.4936: : 417iter [00:39, 11.68iter/s]
Best score: 0.4936: : 418iter [00:40, 11.68iter/s]
Best score: 0.4936: : 419iter [00:40, 11.83iter/s]
Best score: 0.4553: : 419iter [00:40, 11.83iter/s]
Best score: 0.4553: : 420iter [00:40, 11.83iter/s]
Best score: 0.4553: : 421iter [00:40, 11.73iter/s]
Best score: 0.4553: : 421iter [00:40, 11.73iter/s]
Best score: 0.4553: : 422iter [00:40, 11.73iter/s]
Best score: 0.4553: : 423iter [00:40, 11.81iter/s]
Best score: 0.4553: : 423iter [00:40, 11.81iter/s]
Best score: 0.4553: : 424iter [00:40, 11.81iter/s]
Best score: 0.4553: : 425iter [00:40, 11.91iter/s]
Best score: 0.4553: : 425iter [00:40, 11.91iter/s]
Best score: 0.4553: : 426iter [00:40, 11.91iter/s]
Best score: 0.4553: : 427iter [00:40, 11.99iter/s]
Best score: 0.4553: : 427iter [00:40, 11.99iter/s]
Best score: 0.4553: : 428iter [00:40, 11.99iter/s]
Best score: 0.4553: : 429iter [00:40, 12.03iter/s]
Best score: 0.4553: : 429iter [00:40, 12.03iter/s]
Best score: 0.4553: : 430iter [00:41, 12.03iter/s]
Best score: 0.4553: : 431iter [00:41, 11.86iter/s]
Best score: 0.4553: : 431iter [00:41, 11.86iter/s]
Best score: 0.4553: : 432iter [00:41, 11.86iter/s]
Best score: 0.4553: : 433iter [00:41, 11.94iter/s]
Best score: 0.4553: : 433iter [00:41, 11.94iter/s]
Best score: 0.4553: : 434iter [00:41, 11.94iter/s]
Best score: 0.4553: : 435iter [00:41, 11.99iter/s]
Best score: 0.4553: : 435iter [00:41, 11.99iter/s]
Best score: 0.4553: : 436iter [00:41, 11.99iter/s]
Best score: 0.4553: : 437iter [00:41, 12.01iter/s]
Best score: 0.4553: : 437iter [00:41, 12.01iter/s]
Best score: 0.4553: : 438iter [00:41, 12.01iter/s]
Best score: 0.4553: : 439iter [00:41, 12.05iter/s]
Best score: 0.4343: : 439iter [00:41, 12.05iter/s]
Best score: 0.4343: : 440iter [00:41, 12.05iter/s]
Best score: 0.4343: : 441iter [00:41, 11.87iter/s]
Best score: 0.4343: : 441iter [00:41, 11.87iter/s]
Best score: 0.4343: : 442iter [00:42, 11.87iter/s]
Best score: 0.4343: : 443iter [00:42, 11.95iter/s]
Best score: 0.4343: : 443iter [00:42, 11.95iter/s]
Best score: 0.4343: : 444iter [00:42, 11.95iter/s]
Best score: 0.4343: : 445iter [00:42, 12.01iter/s]
Best score: 0.4343: : 445iter [00:42, 12.01iter/s]
Best score: 0.4343: : 446iter [00:42, 12.01iter/s]
Best score: 0.4343: : 447iter [00:42, 12.04iter/s]
Best score: 0.4343: : 447iter [00:42, 12.04iter/s]
Best score: 0.4343: : 448iter [00:42, 12.04iter/s]
Best score: 0.4343: : 449iter [00:42, 12.07iter/s]
[ITER 450] Best: 0.4297
[PARAMS] Current best parameters:
  fx: 528.4105
  fy: 529.0451
  px: 1026.7439
  py: 761.7767
  k1: 0.05460543
  k2: -0.09193632
  k3: 0.06082351
  k4: -0.01477308
  p1: -0.00643264
  p2: -0.02998113
  p3: 0.03920896
  p4: -0.00331595
  s1: -0.0127
  s2: 0.0025
  s3: -0.0349
  s4: 0.0034
  tilt_x: -0.0442
  tilt_y: -0.0361
  scale: 2.9578
  rotation: -0.1414

Best score: 0.4297: : 449iter [00:42, 12.07iter/s]
Best score: 0.4297: : 450iter [00:43, 12.07iter/s]
Best score: 0.4297: : 451iter [00:43,  7.66iter/s]
Best score: 0.4297: : 451iter [00:43,  7.66iter/s]
Best score: 0.4297: : 452iter [00:43,  7.66iter/s]
Best score: 0.4297: : 453iter [00:43,  8.61iter/s]
Best score: 0.4297: : 453iter [00:43,  8.61iter/s]
Best score: 0.4297: : 454iter [00:43,  8.61iter/s]
Best score: 0.4297: : 455iter [00:43,  9.43iter/s]
Best score: 0.4297: : 455iter [00:43,  9.43iter/s]
Best score: 0.4297: : 456iter [00:43,  9.43iter/s]
Best score: 0.4297: : 457iter [00:43, 10.11iter/s]
Best score: 0.4297: : 457iter [00:43, 10.11iter/s]
Best score: 0.4297: : 458iter [00:43, 10.11iter/s]
Best score: 0.4297: : 459iter [00:43, 10.63iter/s]
Best score: 0.4297: : 459iter [00:43, 10.63iter/s]
Best score: 0.4297: : 460iter [00:43, 10.63iter/s]
Best score: 0.4297: : 461iter [00:43, 10.87iter/s]
Best score: 0.4297: : 461iter [00:43, 10.87iter/s]
Best score: 0.4297: : 462iter [00:44, 10.87iter/s]
Best score: 0.4297: : 463iter [00:44, 11.22iter/s]
Best score: 0.4297: : 463iter [00:44, 11.22iter/s]
Best score: 0.4297: : 464iter [00:44, 11.22iter/s]
Best score: 0.4297: : 465iter [00:44, 11.49iter/s]
Best score: 0.4297: : 465iter [00:44, 11.49iter/s]
Best score: 0.4297: : 466iter [00:44, 11.49iter/s]
Best score: 0.4297: : 467iter [00:44, 11.66iter/s]
Best score: 0.4297: : 467iter [00:44, 11.66iter/s]
Best score: 0.4297: : 468iter [00:44, 11.66iter/s]
Best score: 0.4297: : 469iter [00:44, 11.78iter/s]
Best score: 0.4153: : 469iter [00:44, 11.78iter/s]
Best score: 0.4153: : 470iter [00:44, 11.78iter/s]
Best score: 0.4153: : 471iter [00:44, 11.66iter/s]
Best score: 0.4153: : 471iter [00:44, 11.66iter/s]
Best score: 0.4153: : 472iter [00:44, 11.66iter/s]
Best score: 0.4153: : 473iter [00:44, 11.80iter/s]
Best score: 0.4153: : 473iter [00:44, 11.80iter/s]
Best score: 0.4153: : 474iter [00:45, 11.80iter/s]
Best score: 0.4153: : 475iter [00:45, 11.91iter/s]
Best score: 0.4153: : 475iter [00:45, 11.91iter/s]
Best score: 0.4153: : 476iter [00:45, 11.91iter/s]
Best score: 0.4153: : 477iter [00:45, 11.95iter/s]
Best score: 0.4153: : 477iter [00:45, 11.95iter/s]
Best score: 0.4153: : 478iter [00:45, 11.95iter/s]
Best score: 0.4153: : 479iter [00:45, 11.95iter/s]
Best score: 0.4060: : 479iter [00:45, 11.95iter/s]
Best score: 0.4060: : 480iter [00:45, 11.95iter/s]
Best score: 0.4060: : 481iter [00:45, 11.74iter/s]
Best score: 0.4060: : 481iter [00:45, 11.74iter/s]
Best score: 0.4060: : 482iter [00:45, 11.74iter/s]
Best score: 0.4060: : 483iter [00:45, 11.88iter/s]
Best score: 0.4060: : 483iter [00:45, 11.88iter/s]
Best score: 0.4060: : 484iter [00:45, 11.88iter/s]
Best score: 0.4060: : 485iter [00:45, 11.95iter/s]
Best score: 0.4060: : 485iter [00:45, 11.95iter/s]
Best score: 0.4060: : 486iter [00:46, 11.95iter/s]
Best score: 0.4060: : 487iter [00:46, 12.00iter/s]
Best score: 0.4060: : 487iter [00:46, 12.00iter/s]
Best score: 0.4060: : 488iter [00:46, 12.00iter/s]
Best score: 0.4060: : 489iter [00:46, 12.04iter/s]
Best score: 0.4001: : 489iter [00:46, 12.04iter/s]
Best score: 0.4001: : 490iter [00:46, 12.04iter/s]
Best score: 0.4001: : 491iter [00:46, 11.86iter/s]
Best score: 0.4001: : 491iter [00:46, 11.86iter/s]
Best score: 0.4001: : 492iter [00:46, 11.86iter/s]
Best score: 0.4001: : 493iter [00:46, 11.93iter/s]
Best score: 0.4001: : 493iter [00:46, 11.93iter/s]
Best score: 0.4001: : 494iter [00:46, 11.93iter/s]
Best score: 0.4001: : 495iter [00:46, 11.93iter/s]
Best score: 0.4001: : 495iter [00:46, 11.93iter/s]
Best score: 0.4001: : 496iter [00:46, 11.93iter/s]
Best score: 0.4001: : 497iter [00:46, 11.94iter/s]
Best score: 0.4001: : 497iter [00:46, 11.94iter/s]
Best score: 0.4001: : 498iter [00:47, 11.94iter/s]
Best score: 0.4001: : 499iter [00:47, 12.00iter/s]
[ITER 500] Best: 0.4001
[PARAMS] Current best parameters:
  fx: 522.6666
  fy: 523.0714
  px: 1029.0584
  py: 761.3896
  k1: 0.05966669
  k2: -0.08992892
  k3: 0.05885376
  k4: -0.01426343
  p1: -0.00778504
  p2: -0.03184745
  p3: 0.04111246
  p4: -0.00498977
  s1: -0.0115
  s2: 0.0049
  s3: -0.0350
  s4: 0.0039
  tilt_x: -0.0426
  tilt_y: -0.0505
  scale: 2.9622
  rotation: -0.1223

Best score: 0.4001: : 499iter [00:47, 12.00iter/s]
Best score: 0.4001: : 500iter [00:47, 12.00iter/s]
Best score: 0.4001: : 501iter [00:47,  7.66iter/s]
Best score: 0.4001: : 501iter [00:47,  7.66iter/s]
Best score: 0.4001: : 502iter [00:47,  7.66iter/s]
Best score: 0.4001: : 503iter [00:47,  8.61iter/s]
Best score: 0.4001: : 503iter [00:47,  8.61iter/s]
Best score: 0.4001: : 504iter [00:47,  8.61iter/s]
Best score: 0.4001: : 505iter [00:47,  9.42iter/s]
Best score: 0.4001: : 505iter [00:47,  9.42iter/s]
Best score: 0.4001: : 506iter [00:48,  9.42iter/s]
Best score: 0.4001: : 507iter [00:48, 10.09iter/s]
Best score: 0.4001: : 507iter [00:48, 10.09iter/s]
Best score: 0.4001: : 508iter [00:48, 10.09iter/s]
Best score: 0.4001: : 509iter [00:48, 10.64iter/s]
Best score: 0.3985: : 509iter [00:48, 10.64iter/s]
Best score: 0.3985: : 510iter [00:48, 10.64iter/s]
Best score: 0.3985: : 511iter [00:48, 10.88iter/s]
Best score: 0.3985: : 511iter [00:48, 10.88iter/s]
Best score: 0.3985: : 512iter [00:48, 10.88iter/s]
Best score: 0.3985: : 513iter [00:48, 11.23iter/s]
Best score: 0.3985: : 513iter [00:48, 11.23iter/s]
Best score: 0.3985: : 514iter [00:48, 11.23iter/s]
Best score: 0.3985: : 515iter [00:48, 11.50iter/s]
Best score: 0.3985: : 515iter [00:48, 11.50iter/s]
Best score: 0.3985: : 516iter [00:48, 11.50iter/s]
Best score: 0.3985: : 517iter [00:48, 11.64iter/s]
Best score: 0.3985: : 517iter [00:48, 11.64iter/s]
Best score: 0.3985: : 518iter [00:49, 11.64iter/s]
Best score: 0.3985: : 519iter [00:49, 11.79iter/s]
Best score: 0.3985: : 519iter [00:49, 11.79iter/s]
Best score: 0.3985: : 520iter [00:49, 11.79iter/s]
Best score: 0.3985: : 521iter [00:49, 11.68iter/s]
Best score: 0.3985: : 521iter [00:49, 11.68iter/s]
Best score: 0.3985: : 522iter [00:49, 11.68iter/s]
Best score: 0.3985: : 523iter [00:49, 11.81iter/s]
Best score: 0.3985: : 523iter [00:49, 11.81iter/s]
Best score: 0.3985: : 524iter [00:49, 11.81iter/s]
Best score: 0.3985: : 525iter [00:49, 11.91iter/s]
Best score: 0.3985: : 525iter [00:49, 11.91iter/s]
Best score: 0.3985: : 526iter [00:49, 11.91iter/s]
Best score: 0.3985: : 527iter [00:49, 11.93iter/s]
Best score: 0.3985: : 527iter [00:49, 11.93iter/s]
Best score: 0.3985: : 528iter [00:50, 11.93iter/s]
Best score: 0.3985: : 529iter [00:50,  9.38iter/s]
Best score: 0.3985: : 529iter [00:50,  9.38iter/s]
Best score: 0.3985: : 530iter [00:50,  9.38iter/s]
Best score: 0.3985: : 531iter [00:50,  9.92iter/s]
Best score: 0.3985: : 531iter [00:50,  9.92iter/s]
Best score: 0.3985: : 532iter [00:50,  9.92iter/s]
Best score: 0.3985: : 533iter [00:50, 10.51iter/s]
Best score: 0.3985: : 533iter [00:50, 10.51iter/s]
Best score: 0.3985: : 534iter [00:50, 10.51iter/s]
Best score: 0.3985: : 535iter [00:50, 10.95iter/s]
Best score: 0.3985: : 535iter [00:50, 10.95iter/s]
Best score: 0.3985: : 536iter [00:50, 10.95iter/s]
Best score: 0.3985: : 537iter [00:50, 11.28iter/s]
Best score: 0.3985: : 537iter [00:50, 11.28iter/s]
Best score: 0.3985: : 538iter [00:50, 11.28iter/s]
Best score: 0.3985: : 539iter [00:50, 11.52iter/s]
Best score: 0.3979: : 539iter [00:50, 11.52iter/s]
Best score: 0.3979: : 540iter [00:51, 11.52iter/s]
Best score: 0.3979: : 541iter [00:51, 11.51iter/s]
Best score: 0.3979: : 541iter [00:51, 11.51iter/s]
Best score: 0.3979: : 542iter [00:51, 11.51iter/s]
Best score: 0.3979: : 543iter [00:51, 11.70iter/s]
Best score: 0.3979: : 543iter [00:51, 11.70iter/s]
Best score: 0.3979: : 544iter [00:51, 11.70iter/s]
Best score: 0.3979: : 545iter [00:51, 11.82iter/s]
Best score: 0.3979: : 545iter [00:51, 11.82iter/s]
Best score: 0.3979: : 546iter [00:51, 11.82iter/s]
Best score: 0.3979: : 547iter [00:51, 11.90iter/s]
Best score: 0.3979: : 547iter [00:51, 11.90iter/s]
Best score: 0.3979: : 548iter [00:51, 11.90iter/s]
Best score: 0.3979: : 549iter [00:51, 11.98iter/s]
[ITER 550] Best: 0.3968
[PARAMS] Current best parameters:
  fx: 523.2545
  fy: 523.6213
  px: 1029.2726
  py: 761.2898
  k1: 0.05764446
  k2: -0.08866162
  k3: 0.05876212
  k4: -0.01437292
  p1: -0.00771382
  p2: -0.03134428
  p3: 0.04196513
  p4: -0.00580226
  s1: -0.0119
  s2: 0.0052
  s3: -0.0350
  s4: 0.0039
  tilt_x: -0.0437
  tilt_y: -0.0511
  scale: 2.9646
  rotation: -0.1202

Best score: 0.3968: : 549iter [00:51, 11.98iter/s]
Best score: 0.3968: : 550iter [00:52, 11.98iter/s]
Best score: 0.3968: : 551iter [00:52,  7.67iter/s]
Best score: 0.3968: : 551iter [00:52,  7.67iter/s]
Best score: 0.3968: : 552iter [00:52,  7.67iter/s]
Best score: 0.3968: : 553iter [00:52,  8.63iter/s]
Best score: 0.3968: : 553iter [00:52,  8.63iter/s]
Best score: 0.3968: : 554iter [00:52,  8.63iter/s]
Best score: 0.3968: : 555iter [00:52,  9.45iter/s]
Best score: 0.3968: : 555iter [00:52,  9.45iter/s]
Best score: 0.3968: : 556iter [00:52,  9.45iter/s]
Best score: 0.3968: : 557iter [00:52, 10.05iter/s]
Best score: 0.3968: : 557iter [00:52, 10.05iter/s]
Best score: 0.3968: : 558iter [00:52, 10.05iter/s]
Best score: 0.3968: : 559iter [00:52, 10.59iter/s]
Best score: 0.3968: : 559iter [00:52, 10.59iter/s]
Best score: 0.3968: : 560iter [00:52, 10.59iter/s]
Best score: 0.3968: : 561iter [00:52, 10.83iter/s]
Best score: 0.3968: : 561iter [00:53, 10.83iter/s]
Best score: 0.3968: : 562iter [00:53, 10.83iter/s]
Best score: 0.3968: : 563iter [00:53, 11.18iter/s]
Best score: 0.3968: : 563iter [00:53, 11.18iter/s]
Best score: 0.3968: : 564iter [00:53, 11.18iter/s]
Best score: 0.3968: : 565iter [00:53, 11.45iter/s]
Best score: 0.3968: : 565iter [00:53, 11.45iter/s]
Best score: 0.3968: : 566iter [00:53, 11.45iter/s]
Best score: 0.3968: : 567iter [00:53, 11.56iter/s]
Best score: 0.3968: : 567iter [00:53, 11.56iter/s]
Best score: 0.3968: : 568iter [00:53, 11.56iter/s]
Best score: 0.3968: : 569iter [00:53, 11.72iter/s]
Best score: 0.3950: : 569iter [00:53, 11.72iter/s]
Best score: 0.3950: : 570iter [00:53, 11.72iter/s]
Best score: 0.3950: : 571iter [00:53, 11.63iter/s]
Best score: 0.3950: : 571iter [00:53, 11.63iter/s]
Best score: 0.3950: : 572iter [00:54, 11.63iter/s]
Best score: 0.3950: : 573iter [00:54, 11.77iter/s]
Best score: 0.3950: : 573iter [00:54, 11.77iter/s]
Best score: 0.3950: : 574iter [00:54, 11.77iter/s]
Best score: 0.3950: : 575iter [00:54, 11.87iter/s]
Best score: 0.3950: : 575iter [00:54, 11.87iter/s]
Best score: 0.3950: : 576iter [00:54, 11.87iter/s]
Best score: 0.3950: : 577iter [00:54, 11.94iter/s]
Best score: 0.3950: : 577iter [00:54, 11.94iter/s]
Best score: 0.3950: : 578iter [00:54, 11.94iter/s]
Best score: 0.3950: : 579iter [00:54, 12.00iter/s]
Best score: 0.3945: : 579iter [00:54, 12.00iter/s]
Best score: 0.3945: : 580iter [00:54, 12.00iter/s]
Best score: 0.3945: : 581iter [00:54, 11.84iter/s]
Best score: 0.3945: : 581iter [00:54, 11.84iter/s]
Best score: 0.3945: : 582iter [00:54, 11.84iter/s]
Best score: 0.3945: : 583iter [00:54, 11.93iter/s]
Best score: 0.3945: : 583iter [00:54, 11.93iter/s]
Best score: 0.3945: : 584iter [00:55, 11.93iter/s]
Best score: 0.3945: : 585iter [00:55, 11.94iter/s]
Best score: 0.3945: : 585iter [00:55, 11.94iter/s]
Best score: 0.3945: : 586iter [00:55, 11.94iter/s]
Best score: 0.3945: : 587iter [00:55, 11.96iter/s]
Best score: 0.3945: : 587iter [00:55, 11.96iter/s]
Best score: 0.3945: : 588iter [00:55, 11.96iter/s]
Best score: 0.3945: : 589iter [00:55, 12.02iter/s]
Best score: 0.3937: : 589iter [00:55, 12.02iter/s]
Best score: 0.3937: : 590iter [00:55, 12.02iter/s]
Best score: 0.3937: : 591iter [00:55, 11.81iter/s]
Best score: 0.3937: : 591iter [00:55, 11.81iter/s]
Best score: 0.3937: : 592iter [00:55, 11.81iter/s]
Best score: 0.3937: : 593iter [00:55, 11.85iter/s]
Best score: 0.3937: : 593iter [00:55, 11.85iter/s]
Best score: 0.3937: : 594iter [00:55, 11.85iter/s]
Best score: 0.3937: : 595iter [00:55, 11.92iter/s]
Best score: 0.3937: : 595iter [00:55, 11.92iter/s]
Best score: 0.3937: : 596iter [00:56, 11.92iter/s]
Best score: 0.3937: : 597iter [00:56, 11.88iter/s]
Best score: 0.3937: : 597iter [00:56, 11.88iter/s]
Best score: 0.3937: : 598iter [00:56, 11.88iter/s]
Best score: 0.3937: : 599iter [00:56, 11.97iter/s]
[ITER 600] Best: 0.3937
[PARAMS] Current best parameters:
  fx: 521.6773
  fy: 522.0119
  px: 1029.4064
  py: 761.3117
  k1: 0.05898483
  k2: -0.08752514
  k3: 0.05745179
  k4: -0.01398447
  p1: -0.00786181
  p2: -0.03211105
  p3: 0.04207070
  p4: -0.00724031
  s1: -0.0109
  s2: 0.0061
  s3: -0.0350
  s4: 0.0052
  tilt_x: -0.0429
  tilt_y: -0.0534
  scale: 2.9660
  rotation: -0.1332

Best score: 0.3937: : 599iter [00:56, 11.97iter/s]
Best score: 0.3937: : 600iter [00:56, 11.97iter/s]
Best score: 0.3937: : 601iter [00:56,  7.67iter/s]
Best score: 0.3937: : 601iter [00:56,  7.67iter/s]
Best score: 0.3937: : 602iter [00:56,  7.67iter/s]
Best score: 0.3937: : 603iter [00:56,  8.62iter/s]
Best score: 0.3937: : 603iter [00:56,  8.62iter/s]
Best score: 0.3937: : 604iter [00:56,  8.62iter/s]
Best score: 0.3937: : 605iter [00:56,  9.44iter/s]
Best score: 0.3937: : 605iter [00:57,  9.44iter/s]
Best score: 0.3937: : 606iter [00:57,  9.44iter/s]
Best score: 0.3937: : 607iter [00:57, 10.11iter/s]
Best score: 0.3937: : 607iter [00:57, 10.11iter/s]
Best score: 0.3937: : 608iter [00:57, 10.11iter/s]
Best score: 0.3937: : 609iter [00:57, 10.57iter/s]
Best score: 0.3926: : 609iter [00:57, 10.57iter/s]
Best score: 0.3926: : 610iter [00:57, 10.57iter/s]
Best score: 0.3926: : 611iter [00:57, 10.77iter/s]
Best score: 0.3926: : 611iter [00:57, 10.77iter/s]
Best score: 0.3926: : 612iter [00:57, 10.77iter/s]
Best score: 0.3926: : 613iter [00:57, 11.15iter/s]
Best score: 0.3926: : 613iter [00:57, 11.15iter/s]
Best score: 0.3926: : 614iter [00:57, 11.15iter/s]
Best score: 0.3926: : 615iter [00:57, 11.42iter/s]
Best score: 0.3926: : 615iter [00:57, 11.42iter/s]
Best score: 0.3926: : 616iter [00:57, 11.42iter/s]
Best score: 0.3926: : 617iter [00:57, 11.63iter/s]
Best score: 0.3926: : 617iter [00:58, 11.63iter/s]
Best score: 0.3926: : 618iter [00:58, 11.63iter/s]
Best score: 0.3926: : 619iter [00:58, 11.79iter/s]
Best score: 0.3926: : 619iter [00:58, 11.79iter/s]
Best score: 0.3926: : 620iter [00:58, 11.79iter/s]
Best score: 0.3926: : 621iter [00:58, 11.69iter/s]
Best score: 0.3926: : 621iter [00:58, 11.69iter/s]
Best score: 0.3926: : 622iter [00:58, 11.69iter/s]
Best score: 0.3926: : 623iter [00:58, 11.81iter/s]
Best score: 0.3926: : 623iter [00:58, 11.81iter/s]
Best score: 0.3926: : 624iter [00:58, 11.81iter/s]
Best score: 0.3926: : 625iter [00:58, 11.91iter/s]
Best score: 0.3926: : 625iter [00:58, 11.91iter/s]
Best score: 0.3926: : 626iter [00:58, 11.91iter/s]
Best score: 0.3926: : 627iter [00:58, 11.96iter/s]
Best score: 0.3926: : 627iter [00:58, 11.96iter/s]
Best score: 0.3926: : 628iter [00:58, 11.96iter/s]
Best score: 0.3926: : 629iter [00:58, 12.02iter/s]
Best score: 0.3926: : 629iter [00:59, 12.02iter/s]
Best score: 0.3926: : 630iter [00:59, 12.02iter/s]
Best score: 0.3926: : 631iter [00:59, 11.83iter/s]
Best score: 0.3926: : 631iter [00:59, 11.83iter/s]
Best score: 0.3926: : 632iter [00:59, 11.83iter/s]
Best score: 0.3926: : 633iter [00:59, 11.93iter/s]
Best score: 0.3926: : 633iter [00:59, 11.93iter/s]
Best score: 0.3926: : 634iter [00:59, 11.93iter/s]
Best score: 0.3926: : 635iter [00:59, 11.99iter/s]
Best score: 0.3926: : 635iter [00:59, 11.99iter/s]
Best score: 0.3926: : 636iter [00:59, 11.99iter/s]
Best score: 0.3926: : 637iter [00:59, 12.00iter/s]
Best score: 0.3926: : 637iter [00:59, 12.00iter/s]
Best score: 0.3926: : 638iter [00:59, 12.00iter/s]
Best score: 0.3926: : 639iter [00:59, 12.00iter/s]
Best score: 0.3911: : 639iter [00:59, 12.00iter/s]
Best score: 0.3911: : 640iter [01:00, 12.00iter/s]
Best score: 0.3911: : 641iter [01:00, 11.79iter/s]
Best score: 0.3911: : 641iter [01:00, 11.79iter/s]
Best score: 0.3911: : 642iter [01:00, 11.79iter/s]
Best score: 0.3911: : 643iter [01:00, 11.89iter/s]
Best score: 0.3911: : 643iter [01:00, 11.89iter/s]
Best score: 0.3911: : 644iter [01:00, 11.89iter/s]
Best score: 0.3911: : 645iter [01:00, 11.97iter/s]
Best score: 0.3911: : 645iter [01:00, 11.97iter/s]
Best score: 0.3911: : 646iter [01:00, 11.97iter/s]
Best score: 0.3911: : 647iter [01:00, 11.99iter/s]
Best score: 0.3911: : 647iter [01:00, 11.99iter/s]
Best score: 0.3911: : 648iter [01:00, 11.99iter/s]
Best score: 0.3911: : 649iter [01:00, 11.99iter/s]
[ITER 650] Best: 0.3886
[PARAMS] Current best parameters:
  fx: 517.5813
  fy: 517.8460
  px: 1029.0793
  py: 761.5051
  k1: 0.06460099
  k2: -0.08768841
  k3: 0.05643412
  k4: -0.01365561
  p1: -0.00714735
  p2: -0.02859042
  p3: 0.04120154
  p4: -0.00871024
  s1: -0.0140
  s2: 0.0080
  s3: -0.0348
  s4: 0.0071
  tilt_x: -0.0433
  tilt_y: -0.0446
  scale: 2.9625
  rotation: -0.1561

Best score: 0.3886: : 649iter [01:00, 11.99iter/s]
Best score: 0.3886: : 650iter [01:01, 11.99iter/s]
Best score: 0.3886: : 651iter [01:01,  7.69iter/s]
Best score: 0.3886: : 651iter [01:01,  7.69iter/s]
Best score: 0.3886: : 652iter [01:01,  7.69iter/s]
Best score: 0.3886: : 653iter [01:01,  8.64iter/s]
Best score: 0.3886: : 653iter [01:01,  8.64iter/s]
Best score: 0.3886: : 654iter [01:01,  8.64iter/s]
Best score: 0.3886: : 655iter [01:01,  9.44iter/s]
Best score: 0.3886: : 655iter [01:01,  9.44iter/s]
Best score: 0.3886: : 656iter [01:01,  9.44iter/s]
Best score: 0.3886: : 657iter [01:01, 10.08iter/s]
Best score: 0.3886: : 657iter [01:01, 10.08iter/s]
Best score: 0.3886: : 658iter [01:01, 10.08iter/s]
Best score: 0.3886: : 659iter [01:01, 10.60iter/s]
Best score: 0.3873: : 659iter [01:01, 10.60iter/s]
Best score: 0.3873: : 660iter [01:01, 10.60iter/s]
Best score: 0.3873: : 661iter [01:01, 10.83iter/s]
Best score: 0.3873: : 661iter [01:02, 10.83iter/s]
Best score: 0.3873: : 662iter [01:02, 10.83iter/s]
Best score: 0.3873: : 663iter [01:02, 11.21iter/s]
Best score: 0.3873: : 663iter [01:02, 11.21iter/s]
Best score: 0.3873: : 664iter [01:02, 11.21iter/s]
Best score: 0.3873: : 665iter [01:02, 11.47iter/s]
Best score: 0.3873: : 665iter [01:02, 11.47iter/s]
Best score: 0.3873: : 666iter [01:02, 11.47iter/s]
Best score: 0.3873: : 667iter [01:02, 11.66iter/s]
Best score: 0.3873: : 667iter [01:02, 11.66iter/s]
Best score: 0.3873: : 668iter [01:02, 11.66iter/s]
Best score: 0.3873: : 669iter [01:02, 11.76iter/s]
Best score: 0.3863: : 669iter [01:02, 11.76iter/s]
Best score: 0.3863: : 670iter [01:02, 11.76iter/s]
Best score: 0.3863: : 671iter [01:02, 11.63iter/s]
Best score: 0.3863: : 671iter [01:02, 11.63iter/s]
Best score: 0.3863: : 672iter [01:02, 11.63iter/s]
Best score: 0.3863: : 673iter [01:02, 11.71iter/s]
Best score: 0.3863: : 673iter [01:03, 11.71iter/s]
Best score: 0.3863: : 674iter [01:03, 11.71iter/s]
Best score: 0.3863: : 675iter [01:03, 11.83iter/s]
Best score: 0.3863: : 675iter [01:03, 11.83iter/s]
Best score: 0.3863: : 676iter [01:03, 11.83iter/s]
Best score: 0.3863: : 677iter [01:03, 11.93iter/s]
Best score: 0.3863: : 677iter [01:03, 11.93iter/s]
Best score: 0.3863: : 678iter [01:03, 11.93iter/s]
Best score: 0.3863: : 679iter [01:03, 11.98iter/s]
Best score: 0.3853: : 679iter [01:03, 11.98iter/s]
Best score: 0.3853: : 680iter [01:03, 11.98iter/s]
Best score: 0.3853: : 681iter [01:03, 11.73iter/s]
Best score: 0.3853: : 681iter [01:03, 11.73iter/s]
Best score: 0.3853: : 682iter [01:03, 11.73iter/s]
Best score: 0.3853: : 683iter [01:03, 11.75iter/s]
Best score: 0.3853: : 683iter [01:03, 11.75iter/s]
Best score: 0.3853: : 684iter [01:03, 11.75iter/s]
Best score: 0.3853: : 685iter [01:03, 11.86iter/s]
Best score: 0.3853: : 685iter [01:04, 11.86iter/s]
Best score: 0.3853: : 686iter [01:04, 11.86iter/s]
Best score: 0.3853: : 687iter [01:04, 11.90iter/s]
Best score: 0.3853: : 687iter [01:04, 11.90iter/s]
Best score: 0.3853: : 688iter [01:04, 11.90iter/s]
Best score: 0.3853: : 689iter [01:04, 11.92iter/s]
Best score: 0.3853: : 689iter [01:04, 11.92iter/s]
Best score: 0.3853: : 690iter [01:04, 11.92iter/s]
Best score: 0.3853: : 691iter [01:04, 11.76iter/s]
Best score: 0.3853: : 691iter [01:04, 11.76iter/s]
Best score: 0.3853: : 692iter [01:04, 11.76iter/s]
Best score: 0.3853: : 693iter [01:04, 11.82iter/s]
Best score: 0.3853: : 693iter [01:04, 11.82iter/s]
Best score: 0.3853: : 694iter [01:04, 11.82iter/s]
Best score: 0.3853: : 695iter [01:04, 11.90iter/s]
Best score: 0.3853: : 695iter [01:04, 11.90iter/s]
Best score: 0.3853: : 696iter [01:05, 11.90iter/s]
Best score: 0.3853: : 697iter [01:05, 11.97iter/s]
Best score: 0.3853: : 697iter [01:05, 11.97iter/s]
Best score: 0.3853: : 698iter [01:05, 11.97iter/s]
Best score: 0.3853: : 699iter [01:05, 12.01iter/s]
[ITER 700] Best: 0.3849
[PARAMS] Current best parameters:
  fx: 517.3869
  fy: 517.6028
  px: 1029.7757
  py: 761.8181
  k1: 0.06406451
  k2: -0.08583154
  k3: 0.05501513
  k4: -0.01329755
  p1: -0.00741717
  p2: -0.02592175
  p3: 0.04408973
  p4: -0.01022293
  s1: -0.0189
  s2: 0.0093
  s3: -0.0364
  s4: 0.0081
  tilt_x: -0.0413
  tilt_y: -0.0429
  scale: 2.9620
  rotation: -0.1605

Best score: 0.3849: : 699iter [01:05, 12.01iter/s]
Best score: 0.3849: : 700iter [01:05, 12.01iter/s]
Best score: 0.3849: : 701iter [01:05,  7.69iter/s]
Best score: 0.3849: : 701iter [01:05,  7.69iter/s]
Best score: 0.3849: : 702iter [01:05,  7.69iter/s]
Best score: 0.3849: : 703iter [01:05,  8.64iter/s]
Best score: 0.3849: : 703iter [01:05,  8.64iter/s]
Best score: 0.3849: : 704iter [01:05,  8.64iter/s]
Best score: 0.3849: : 705iter [01:05,  9.46iter/s]
Best score: 0.3849: : 705iter [01:06,  9.46iter/s]
Best score: 0.3849: : 706iter [01:06,  9.46iter/s]
Best score: 0.3849: : 707iter [01:06, 10.14iter/s]
Best score: 0.3849: : 707iter [01:06, 10.14iter/s]
Best score: 0.3849: : 708iter [01:06, 10.14iter/s]
Best score: 0.3849: : 709iter [01:06, 10.68iter/s]
Best score: 0.3839: : 709iter [01:06, 10.68iter/s]
Best score: 0.3839: : 710iter [01:06, 10.68iter/s]
Best score: 0.3839: : 711iter [01:06, 10.87iter/s]
Best score: 0.3839: : 711iter [01:06, 10.87iter/s]
Best score: 0.3839: : 712iter [01:06, 10.87iter/s]
Best score: 0.3839: : 713iter [01:06, 11.22iter/s]
Best score: 0.3839: : 713iter [01:06, 11.22iter/s]
Best score: 0.3839: : 714iter [01:06, 11.22iter/s]
Best score: 0.3839: : 715iter [01:06, 11.49iter/s]
Best score: 0.3839: : 715iter [01:06, 11.49iter/s]
Best score: 0.3839: : 716iter [01:06, 11.49iter/s]
Best score: 0.3839: : 717iter [01:06, 11.63iter/s]
Best score: 0.3839: : 717iter [01:07, 11.63iter/s]
Best score: 0.3839: : 718iter [01:07, 11.63iter/s]
Best score: 0.3839: : 719iter [01:07, 11.73iter/s]
Best score: 0.3827: : 719iter [01:07, 11.73iter/s]
Best score: 0.3827: : 720iter [01:07, 11.73iter/s]
Best score: 0.3827: : 721iter [01:07, 11.65iter/s]
Best score: 0.3827: : 721iter [01:07, 11.65iter/s]
Best score: 0.3827: : 722iter [01:07, 11.65iter/s]
Best score: 0.3827: : 723iter [01:07, 11.79iter/s]
Best score: 0.3827: : 723iter [01:07, 11.79iter/s]
Best score: 0.3827: : 724iter [01:07, 11.79iter/s]
Best score: 0.3827: : 725iter [01:07, 11.90iter/s]
Best score: 0.3827: : 725iter [01:07, 11.90iter/s]
Best score: 0.3827: : 726iter [01:07, 11.90iter/s]
Best score: 0.3827: : 727iter [01:07, 11.97iter/s]
Best score: 0.3827: : 727iter [01:07, 11.97iter/s]
Best score: 0.3827: : 728iter [01:07, 11.97iter/s]
Best score: 0.3827: : 729iter [01:07, 12.03iter/s]
Best score: 0.3816: : 729iter [01:08, 12.03iter/s]
Best score: 0.3816: : 730iter [01:08, 12.03iter/s]
Best score: 0.3816: : 731iter [01:08, 11.85iter/s]
Best score: 0.3816: : 731iter [01:08, 11.85iter/s]
Best score: 0.3816: : 732iter [01:08, 11.85iter/s]
Best score: 0.3816: : 733iter [01:08, 11.95iter/s]
Best score: 0.3816: : 733iter [01:08, 11.95iter/s]
Best score: 0.3816: : 734iter [01:08, 11.95iter/s]
Best score: 0.3816: : 735iter [01:08, 12.00iter/s]
Best score: 0.3816: : 735iter [01:08, 12.00iter/s]
Best score: 0.3816: : 736iter [01:08, 12.00iter/s]
Best score: 0.3816: : 737iter [01:08, 12.04iter/s]
Best score: 0.3816: : 737iter [01:08, 12.04iter/s]
Best score: 0.3816: : 738iter [01:08, 12.04iter/s]
Best score: 0.3816: : 739iter [01:08, 12.06iter/s]
Best score: 0.3815: : 739iter [01:08, 12.06iter/s]
Best score: 0.3815: : 740iter [01:08, 12.06iter/s]
Best score: 0.3815: : 741iter [01:08, 11.87iter/s]
Best score: 0.3815: : 741iter [01:09, 11.87iter/s]
Best score: 0.3815: : 742iter [01:09, 11.87iter/s]
Best score: 0.3815: : 743iter [01:09, 11.90iter/s]
Best score: 0.3815: : 743iter [01:09, 11.90iter/s]
Best score: 0.3815: : 744iter [01:09, 11.90iter/s]
Best score: 0.3815: : 745iter [01:09, 11.98iter/s]
Best score: 0.3815: : 745iter [01:09, 11.98iter/s]
Best score: 0.3815: : 746iter [01:09, 11.98iter/s]
Best score: 0.3815: : 747iter [01:09, 12.02iter/s]
Best score: 0.3815: : 747iter [01:09, 12.02iter/s]
Best score: 0.3815: : 748iter [01:09, 12.02iter/s]
Best score: 0.3815: : 749iter [01:09, 12.04iter/s]
[ITER 750] Best: 0.3805
[PARAMS] Current best parameters:
  fx: 515.9213
  fy: 515.9735
  px: 1030.4503
  py: 762.4562
  k1: 0.06235565
  k2: -0.08037285
  k3: 0.05181555
  k4: -0.01265735
  p1: -0.00831724
  p2: -0.02123640
  p3: 0.04894076
  p4: -0.01257919
  s1: -0.0280
  s2: 0.0117
  s3: -0.0404
  s4: 0.0110
  tilt_x: -0.0363
  tilt_y: -0.0365
  scale: 2.9629
  rotation: -0.1860

Best score: 0.3805: : 749iter [01:09, 12.04iter/s]
Best score: 0.3805: : 750iter [01:10, 12.04iter/s]
Best score: 0.3805: : 751iter [01:10,  7.71iter/s]
Best score: 0.3805: : 751iter [01:10,  7.71iter/s]
Best score: 0.3805: : 752iter [01:10,  7.71iter/s]
Best score: 0.3805: : 753iter [01:10,  8.66iter/s]
Best score: 0.3805: : 753iter [01:10,  8.66iter/s]
Best score: 0.3805: : 754iter [01:10,  8.66iter/s]
Best score: 0.3805: : 755iter [01:10,  9.47iter/s]
Best score: 0.3805: : 755iter [01:10,  9.47iter/s]
Best score: 0.3805: : 756iter [01:10,  9.47iter/s]
Best score: 0.3805: : 757iter [01:10, 10.14iter/s]
Best score: 0.3805: : 757iter [01:10, 10.14iter/s]
Best score: 0.3805: : 758iter [01:10, 10.14iter/s]
Best score: 0.3805: : 759iter [01:10, 10.67iter/s]
Best score: 0.3804: : 759iter [01:10, 10.67iter/s]
Best score: 0.3804: : 760iter [01:10, 10.67iter/s]
Best score: 0.3804: : 761iter [01:10, 10.88iter/s]
Best score: 0.3804: : 761iter [01:11, 10.88iter/s]
Best score: 0.3804: : 762iter [01:11, 10.88iter/s]
Best score: 0.3804: : 763iter [01:11, 11.19iter/s]
Best score: 0.3804: : 763iter [01:11, 11.19iter/s]
Best score: 0.3804: : 764iter [01:11, 11.19iter/s]
Best score: 0.3804: : 765iter [01:11, 11.46iter/s]
Best score: 0.3804: : 765iter [01:11, 11.46iter/s]
Best score: 0.3804: : 766iter [01:11, 11.46iter/s]
Best score: 0.3804: : 767iter [01:11, 11.65iter/s]
Best score: 0.3804: : 767iter [01:11, 11.65iter/s]
Best score: 0.3804: : 768iter [01:11, 11.65iter/s]
Best score: 0.3804: : 769iter [01:11, 11.79iter/s]
Best score: 0.3796: : 769iter [01:11, 11.79iter/s]
Best score: 0.3796: : 770iter [01:11, 11.79iter/s]
Best score: 0.3796: : 771iter [01:11, 11.70iter/s]
Best score: 0.3796: : 771iter [01:11, 11.70iter/s]
Best score: 0.3796: : 772iter [01:11, 11.70iter/s]
Best score: 0.3796: : 773iter [01:11, 11.84iter/s]
Best score: 0.3796: : 773iter [01:12, 11.84iter/s]
Best score: 0.3796: : 774iter [01:12, 11.84iter/s]
Best score: 0.3796: : 775iter [01:12, 11.93iter/s]
Best score: 0.3796: : 775iter [01:12, 11.93iter/s]
Best score: 0.3796: : 776iter [01:12, 11.93iter/s]
Best score: 0.3796: : 777iter [01:12, 12.00iter/s]
Best score: 0.3796: : 777iter [01:12, 12.00iter/s]
Best score: 0.3796: : 778iter [01:12, 12.00iter/s]
Best score: 0.3796: : 779iter [01:12, 12.03iter/s]
Best score: 0.3793: : 779iter [01:12, 12.03iter/s]
Best score: 0.3793: : 780iter [01:12, 12.03iter/s]
Best score: 0.3793: : 781iter [01:12, 11.85iter/s]
Best score: 0.3793: : 781iter [01:12, 11.85iter/s]
Best score: 0.3793: : 782iter [01:12, 11.85iter/s]
Best score: 0.3793: : 783iter [01:12, 11.91iter/s]
Best score: 0.3793: : 783iter [01:12, 11.91iter/s]
Best score: 0.3793: : 784iter [01:12, 11.91iter/s]
Best score: 0.3793: : 785iter [01:12, 11.98iter/s]
Best score: 0.3793: : 785iter [01:13, 11.98iter/s]
Best score: 0.3793: : 786iter [01:13, 11.98iter/s]
Best score: 0.3793: : 787iter [01:13, 12.02iter/s]
Best score: 0.3793: : 787iter [01:13, 12.02iter/s]
Best score: 0.3793: : 788iter [01:13, 12.02iter/s]
Best score: 0.3793: : 789iter [01:13, 12.07iter/s]
Best score: 0.3789: : 789iter [01:13, 12.07iter/s]
Best score: 0.3789: : 790iter [01:13, 12.07iter/s]
Best score: 0.3789: : 791iter [01:13, 11.88iter/s]
Best score: 0.3789: : 791iter [01:13, 11.88iter/s]
Best score: 0.3789: : 792iter [01:13, 11.88iter/s]
Best score: 0.3789: : 793iter [01:13, 11.97iter/s]
Best score: 0.3789: : 793iter [01:13, 11.97iter/s]
Best score: 0.3789: : 794iter [01:13, 11.97iter/s]
Best score: 0.3789: : 795iter [01:13, 12.01iter/s]
Best score: 0.3789: : 795iter [01:13, 12.01iter/s]
Best score: 0.3789: : 796iter [01:13, 12.01iter/s]
Best score: 0.3789: : 797iter [01:13, 12.05iter/s]
Best score: 0.3789: : 797iter [01:14, 12.05iter/s]
Best score: 0.3789: : 798iter [01:14, 12.05iter/s]
Best score: 0.3789: : 799iter [01:14, 12.08iter/s]
[ITER 800] Best: 0.3780
[PARAMS] Current best parameters:
  fx: 513.8186
  fy: 514.0401
  px: 1028.6775
  py: 761.5259
  k1: 0.06156390
  k2: -0.07650469
  k3: 0.04997494
  k4: -0.01237646
  p1: -0.01008328
  p2: -0.01561150
  p3: 0.04930635
  p4: -0.01559578
  s1: -0.0357
  s2: 0.0147
  s3: -0.0400
  s4: 0.0140
  tilt_x: -0.0364
  tilt_y: -0.0171
  scale: 2.9639
  rotation: -0.2057

Best score: 0.3780: : 799iter [01:14, 12.08iter/s]
Best score: 0.3780: : 800iter [01:14, 12.08iter/s]
Best score: 0.3780: : 801iter [01:14,  7.73iter/s]
Best score: 0.3780: : 801iter [01:14,  7.73iter/s]
Best score: 0.3780: : 802iter [01:14,  7.73iter/s]
Best score: 0.3780: : 803iter [01:14,  8.67iter/s]
Best score: 0.3780: : 803iter [01:14,  8.67iter/s]
Best score: 0.3780: : 804iter [01:14,  8.67iter/s]
Best score: 0.3780: : 805iter [01:14,  9.48iter/s]
Best score: 0.3780: : 805iter [01:15,  9.48iter/s]
Best score: 0.3780: : 806iter [01:15,  9.48iter/s]
Best score: 0.3780: : 807iter [01:15, 10.14iter/s]
Best score: 0.3780: : 807iter [01:15, 10.14iter/s]
Best score: 0.3780: : 808iter [01:15, 10.14iter/s]
Best score: 0.3780: : 809iter [01:15, 10.68iter/s]
Best score: 0.3777: : 809iter [01:15, 10.68iter/s]
Best score: 0.3777: : 810iter [01:15, 10.68iter/s]
Best score: 0.3777: : 811iter [01:15, 10.90iter/s]
Best score: 0.3777: : 811iter [01:15, 10.90iter/s]
Best score: 0.3777: : 812iter [01:15, 10.90iter/s]
Best score: 0.3777: : 813iter [01:15, 11.25iter/s]
Best score: 0.3777: : 813iter [01:15, 11.25iter/s]
Best score: 0.3777: : 814iter [01:15, 11.25iter/s]
Best score: 0.3777: : 815iter [01:15, 11.50iter/s]
Best score: 0.3777: : 815iter [01:15, 11.50iter/s]
Best score: 0.3777: : 816iter [01:15, 11.50iter/s]
Best score: 0.3777: : 817iter [01:15, 11.68iter/s]
Best score: 0.3777: : 817iter [01:16, 11.68iter/s]
Best score: 0.3777: : 818iter [01:16, 11.68iter/s]
Best score: 0.3777: : 819iter [01:16, 11.81iter/s]
Best score: 0.3763: : 819iter [01:16, 11.81iter/s]
Best score: 0.3763: : 820iter [01:16, 11.81iter/s]
Best score: 0.3763: : 821iter [01:16, 11.70iter/s]
Best score: 0.3763: : 821iter [01:16, 11.70iter/s]
Best score: 0.3763: : 822iter [01:16, 11.70iter/s]
Best score: 0.3763: : 823iter [01:16, 11.82iter/s]
Best score: 0.3763: : 823iter [01:16, 11.82iter/s]
Best score: 0.3763: : 824iter [01:16, 11.82iter/s]
Best score: 0.3763: : 825iter [01:16, 11.92iter/s]
Best score: 0.3763: : 825iter [01:16, 11.92iter/s]
Best score: 0.3763: : 826iter [01:16, 11.92iter/s]
Best score: 0.3763: : 827iter [01:16, 11.98iter/s]
Best score: 0.3763: : 827iter [01:16, 11.98iter/s]
Best score: 0.3763: : 828iter [01:16, 11.98iter/s]
Best score: 0.3763: : 829iter [01:16, 11.97iter/s]
Best score: 0.3763: : 829iter [01:17, 11.97iter/s]
Best score: 0.3763: : 830iter [01:17, 11.97iter/s]
Best score: 0.3763: : 831iter [01:17, 11.77iter/s]
Best score: 0.3763: : 831iter [01:17, 11.77iter/s]
Best score: 0.3763: : 832iter [01:17, 11.77iter/s]
Best score: 0.3763: : 833iter [01:17, 11.88iter/s]
Best score: 0.3763: : 833iter [01:17, 11.88iter/s]
Best score: 0.3763: : 834iter [01:17, 11.88iter/s]
Best score: 0.3763: : 835iter [01:17, 11.96iter/s]
Best score: 0.3763: : 835iter [01:17, 11.96iter/s]
Best score: 0.3763: : 836iter [01:17, 11.96iter/s]
Best score: 0.3763: : 837iter [01:17, 11.95iter/s]
Best score: 0.3763: : 837iter [01:17, 11.95iter/s]
Best score: 0.3763: : 838iter [01:17, 11.95iter/s]
Best score: 0.3763: : 839iter [01:17, 12.00iter/s]
Best score: 0.3763: : 839iter [01:17, 12.00iter/s]
Best score: 0.3763: : 840iter [01:17, 12.00iter/s]
Best score: 0.3763: : 841iter [01:17, 11.81iter/s]
Best score: 0.3763: : 841iter [01:18, 11.81iter/s]
Best score: 0.3763: : 842iter [01:18, 11.81iter/s]
Best score: 0.3763: : 843iter [01:18, 11.91iter/s]
Best score: 0.3763: : 843iter [01:18, 11.91iter/s]
Best score: 0.3763: : 844iter [01:18, 11.91iter/s]
Best score: 0.3763: : 845iter [01:18, 11.97iter/s]
Best score: 0.3763: : 845iter [01:18, 11.97iter/s]
Best score: 0.3763: : 846iter [01:18, 11.97iter/s]
Best score: 0.3763: : 847iter [01:18, 12.03iter/s]
Best score: 0.3763: : 847iter [01:18, 12.03iter/s]
Best score: 0.3763: : 848iter [01:18, 12.03iter/s]
Best score: 0.3763: : 849iter [01:18, 12.06iter/s]
[ITER 850] Best: 0.3757
[PARAMS] Current best parameters:
  fx: 511.8059
  fy: 511.9811
  px: 1029.2512
  py: 761.3484
  k1: 0.06312692
  k2: -0.07601497
  k3: 0.04972536
  k4: -0.01234136
  p1: -0.01045091
  p2: -0.01539540
  p3: 0.04972570
  p4: -0.01557816
  s1: -0.0357
  s2: 0.0148
  s3: -0.0399
  s4: 0.0138
  tilt_x: -0.0365
  tilt_y: -0.0194
  scale: 2.9663
  rotation: -0.2139

Best score: 0.3757: : 849iter [01:18, 12.06iter/s]
Best score: 0.3757: : 850iter [01:19, 12.06iter/s]
Best score: 0.3757: : 851iter [01:19,  7.70iter/s]
Best score: 0.3757: : 851iter [01:19,  7.70iter/s]
Best score: 0.3757: : 852iter [01:19,  7.70iter/s]
Best score: 0.3757: : 853iter [01:19,  8.66iter/s]
Best score: 0.3757: : 853iter [01:19,  8.66iter/s]
Best score: 0.3757: : 854iter [01:19,  8.66iter/s]
Best score: 0.3757: : 855iter [01:19,  9.47iter/s]
Best score: 0.3757: : 855iter [01:19,  9.47iter/s]
Best score: 0.3757: : 856iter [01:19,  9.47iter/s]
Best score: 0.3757: : 857iter [01:19, 10.13iter/s]
Best score: 0.3757: : 857iter [01:19, 10.13iter/s]
Best score: 0.3757: : 858iter [01:19, 10.13iter/s]
Best score: 0.3757: : 859iter [01:19, 10.58iter/s]
Best score: 0.3757: : 859iter [01:19, 10.58iter/s]
Best score: 0.3757: : 860iter [01:19, 10.58iter/s]
Best score: 0.3757: : 861iter [01:19, 10.83iter/s]
Best score: 0.3757: : 861iter [01:19, 10.83iter/s]
Best score: 0.3757: : 862iter [01:20, 10.83iter/s]
Best score: 0.3757: : 863iter [01:20, 11.20iter/s]
Best score: 0.3757: : 863iter [01:20, 11.20iter/s]
Best score: 0.3757: : 864iter [01:20, 11.20iter/s]
Best score: 0.3757: : 865iter [01:20, 11.42iter/s]
Best score: 0.3757: : 865iter [01:20, 11.42iter/s]
Best score: 0.3757: : 866iter [01:20, 11.42iter/s]
Best score: 0.3757: : 867iter [01:20, 11.63iter/s]
Best score: 0.3757: : 867iter [01:20, 11.63iter/s]
Best score: 0.3757: : 868iter [01:20, 11.63iter/s]
Best score: 0.3757: : 869iter [01:20, 11.78iter/s]
Best score: 0.3753: : 869iter [01:20, 11.78iter/s]
Best score: 0.3753: : 870iter [01:20, 11.78iter/s]
Best score: 0.3753: : 871iter [01:20, 11.66iter/s]
Best score: 0.3753: : 871iter [01:20, 11.66iter/s]
Best score: 0.3753: : 872iter [01:20, 11.66iter/s]
Best score: 0.3753: : 873iter [01:20, 11.80iter/s]
Best score: 0.3753: : 873iter [01:20, 11.80iter/s]
Best score: 0.3753: : 874iter [01:21, 11.80iter/s]
Best score: 0.3753: : 875iter [01:21, 11.89iter/s]
Best score: 0.3753: : 875iter [01:21, 11.89iter/s]
Best score: 0.3753: : 876iter [01:21, 11.89iter/s]
Best score: 0.3753: : 877iter [01:21, 11.96iter/s]
Best score: 0.3753: : 877iter [01:21, 11.96iter/s]
Best score: 0.3753: : 878iter [01:21, 11.96iter/s]
Best score: 0.3753: : 879iter [01:21, 12.01iter/s]
Best score: 0.3752: : 879iter [01:21, 12.01iter/s]
Best score: 0.3752: : 880iter [01:21, 12.01iter/s]
Best score: 0.3752: : 881iter [01:21, 11.82iter/s]
Best score: 0.3752: : 881iter [01:21, 11.82iter/s]
Best score: 0.3752: : 882iter [01:21, 11.82iter/s]
Best score: 0.3752: : 883iter [01:21, 11.91iter/s]
Best score: 0.3752: : 883iter [01:21, 11.91iter/s]
Best score: 0.3752: : 884iter [01:21, 11.91iter/s]
Best score: 0.3752: : 885iter [01:21, 11.97iter/s]
Best score: 0.3752: : 885iter [01:21, 11.97iter/s]
Best score: 0.3752: : 886iter [01:22, 11.97iter/s]
Best score: 0.3752: : 887iter [01:22, 12.02iter/s]
Best score: 0.3752: : 887iter [01:22, 12.02iter/s]
Best score: 0.3752: : 888iter [01:22, 12.02iter/s]
Best score: 0.3752: : 889iter [01:22, 12.06iter/s]
Best score: 0.3737: : 889iter [01:22, 12.06iter/s]
Best score: 0.3737: : 890iter [01:22, 12.06iter/s]
Best score: 0.3737: : 891iter [01:22, 11.85iter/s]
Best score: 0.3737: : 891iter [01:22, 11.85iter/s]
Best score: 0.3737: : 892iter [01:22, 11.85iter/s]
Best score: 0.3737: : 893iter [01:22, 11.92iter/s]
Best score: 0.3737: : 893iter [01:22, 11.92iter/s]
Best score: 0.3737: : 894iter [01:22, 11.92iter/s]
Best score: 0.3737: : 895iter [01:22, 11.95iter/s]
Best score: 0.3737: : 895iter [01:22, 11.95iter/s]
Best score: 0.3737: : 896iter [01:22, 11.95iter/s]
Best score: 0.3737: : 897iter [01:22, 11.92iter/s]
Best score: 0.3737: : 897iter [01:23, 11.92iter/s]
Best score: 0.3737: : 898iter [01:23, 11.92iter/s]
Best score: 0.3737: : 899iter [01:23, 11.97iter/s]
[ITER 900] Best: 0.3713
[PARAMS] Current best parameters:
  fx: 510.4108
  fy: 510.6086
  px: 1029.9424
  py: 760.7685
  k1: 0.06014627
  k2: -0.07038337
  k3: 0.04724432
  k4: -0.01200291
  p1: -0.01174768
  p2: -0.00991911
  p3: 0.04990455
  p4: -0.02172870
  s1: -0.0409
  s2: 0.0213
  s3: -0.0392
  s4: 0.0203
  tilt_x: -0.0364
  tilt_y: -0.0116
  scale: 2.9717
  rotation: -0.2302

Best score: 0.3713: : 899iter [01:23, 11.97iter/s]
Best score: 0.3713: : 900iter [01:23, 11.97iter/s]
Best score: 0.3713: : 901iter [01:23,  7.70iter/s]
Best score: 0.3713: : 901iter [01:23,  7.70iter/s]
Best score: 0.3713: : 902iter [01:23,  7.70iter/s]
Best score: 0.3713: : 903iter [01:23,  8.64iter/s]
Best score: 0.3713: : 903iter [01:23,  8.64iter/s]
Best score: 0.3713: : 904iter [01:23,  8.64iter/s]
Best score: 0.3713: : 905iter [01:23,  9.46iter/s]
Best score: 0.3713: : 905iter [01:23,  9.46iter/s]
Best score: 0.3713: : 906iter [01:24,  9.46iter/s]
Best score: 0.3713: : 907iter [01:24, 10.13iter/s]
Best score: 0.3713: : 907iter [01:24, 10.13iter/s]
Best score: 0.3713: : 908iter [01:24, 10.13iter/s]
Best score: 0.3713: : 909iter [01:24, 10.65iter/s]
Best score: 0.3713: : 909iter [01:24, 10.65iter/s]
Best score: 0.3713: : 910iter [01:24, 10.65iter/s]
Best score: 0.3713: : 911iter [01:24, 10.88iter/s]
Best score: 0.3713: : 911iter [01:24, 10.88iter/s]
Best score: 0.3713: : 912iter [01:24, 10.88iter/s]
Best score: 0.3713: : 913iter [01:24, 11.23iter/s]
Best score: 0.3713: : 913iter [01:24, 11.23iter/s]
Best score: 0.3713: : 914iter [01:24, 11.23iter/s]
Best score: 0.3713: : 915iter [01:24, 11.49iter/s]
Best score: 0.3713: : 915iter [01:24, 11.49iter/s]
Best score: 0.3713: : 916iter [01:24, 11.49iter/s]
Best score: 0.3713: : 917iter [01:24, 11.67iter/s]
Best score: 0.3713: : 917iter [01:24, 11.67iter/s]
Best score: 0.3713: : 918iter [01:25, 11.67iter/s]
Best score: 0.3713: : 919iter [01:25, 11.81iter/s]
Best score: 0.3707: : 919iter [01:25, 11.81iter/s]
Best score: 0.3707: : 920iter [01:25, 11.81iter/s]
Best score: 0.3707: : 921iter [01:25, 11.69iter/s]
Best score: 0.3707: : 921iter [01:25, 11.69iter/s]
Best score: 0.3707: : 922iter [01:25, 11.69iter/s]
Best score: 0.3707: : 923iter [01:25, 11.82iter/s]
Best score: 0.3707: : 923iter [01:25, 11.82iter/s]
Best score: 0.3707: : 924iter [01:25, 11.82iter/s]
Best score: 0.3707: : 925iter [01:25, 11.84iter/s]
Best score: 0.3707: : 925iter [01:25, 11.84iter/s]
Best score: 0.3707: : 926iter [01:25, 11.84iter/s]
Best score: 0.3707: : 927iter [01:25, 11.87iter/s]
Best score: 0.3707: : 927iter [01:25, 11.87iter/s]
Best score: 0.3707: : 928iter [01:25, 11.87iter/s]
Best score: 0.3707: : 929iter [01:25, 11.94iter/s]
Best score: 0.3703: : 929iter [01:25, 11.94iter/s]
Best score: 0.3703: : 930iter [01:26, 11.94iter/s]
Best score: 0.3703: : 931iter [01:26, 11.80iter/s]
Best score: 0.3703: : 931iter [01:26, 11.80iter/s]
Best score: 0.3703: : 932iter [01:26, 11.80iter/s]
Best score: 0.3703: : 933iter [01:26, 11.90iter/s]
Best score: 0.3703: : 933iter [01:26, 11.90iter/s]
Best score: 0.3703: : 934iter [01:26, 11.90iter/s]
Best score: 0.3703: : 935iter [01:26, 11.97iter/s]
Best score: 0.3703: : 935iter [01:26, 11.97iter/s]
Best score: 0.3703: : 936iter [01:26, 11.97iter/s]
Best score: 0.3703: : 937iter [01:26, 12.02iter/s]
Best score: 0.3703: : 937iter [01:26, 12.02iter/s]
Best score: 0.3703: : 938iter [01:26, 12.02iter/s]
Best score: 0.3703: : 939iter [01:26, 12.04iter/s]
Best score: 0.3693: : 939iter [01:26, 12.04iter/s]
Best score: 0.3693: : 940iter [01:26, 12.04iter/s]
Best score: 0.3693: : 941iter [01:26, 11.81iter/s]
Best score: 0.3693: : 941iter [01:26, 11.81iter/s]
Best score: 0.3693: : 942iter [01:27, 11.81iter/s]
Best score: 0.3693: : 943iter [01:27, 11.85iter/s]
Best score: 0.3693: : 943iter [01:27, 11.85iter/s]
Best score: 0.3693: : 944iter [01:27, 11.85iter/s]
Best score: 0.3693: : 945iter [01:27, 11.91iter/s]
Best score: 0.3693: : 945iter [01:27, 11.91iter/s]
Best score: 0.3693: : 946iter [01:27, 11.91iter/s]
Best score: 0.3693: : 947iter [01:27, 11.96iter/s]
Best score: 0.3693: : 947iter [01:27, 11.96iter/s]
Best score: 0.3693: : 948iter [01:27, 11.96iter/s]
Best score: 0.3693: : 949iter [01:27, 11.95iter/s]
[ITER 950] Best: 0.3686
[PARAMS] Current best parameters:
  fx: 507.3400
  fy: 507.4926
  px: 1028.7928
  py: 761.0210
  k1: 0.06139967
  k2: -0.06664540
  k3: 0.04482019
  k4: -0.01152748
  p1: -0.01092950
  p2: -0.00845470
  p3: 0.04902444
  p4: -0.02365283
  s1: -0.0426
  s2: 0.0231
  s3: -0.0402
  s4: 0.0231
  tilt_x: -0.0364
  tilt_y: -0.0035
  scale: 2.9729
  rotation: -0.2447

Best score: 0.3686: : 949iter [01:27, 11.95iter/s]
Best score: 0.3686: : 950iter [01:28, 11.95iter/s]
Best score: 0.3686: : 951iter [01:28,  7.59iter/s]
Best score: 0.3686: : 951iter [01:28,  7.59iter/s]
Best score: 0.3686: : 952iter [01:28,  7.59iter/s]
Best score: 0.3686: : 953iter [01:28,  8.54iter/s]
Best score: 0.3686: : 953iter [01:28,  8.54iter/s]
Best score: 0.3686: : 954iter [01:28,  8.54iter/s]
Best score: 0.3686: : 955iter [01:28,  9.35iter/s]
Best score: 0.3686: : 955iter [01:28,  9.35iter/s]
Best score: 0.3686: : 956iter [01:28,  9.35iter/s]
Best score: 0.3686: : 957iter [01:28, 10.04iter/s]
Best score: 0.3686: : 957iter [01:28, 10.04iter/s]
Best score: 0.3686: : 958iter [01:28, 10.04iter/s]
Best score: 0.3686: : 959iter [01:28, 10.59iter/s]
Best score: 0.3683: : 959iter [01:28, 10.59iter/s]
Best score: 0.3683: : 960iter [01:28, 10.59iter/s]
Best score: 0.3683: : 961iter [01:28, 10.81iter/s]
Best score: 0.3683: : 961iter [01:28, 10.81iter/s]
Best score: 0.3683: : 962iter [01:29, 10.81iter/s]
Best score: 0.3683: : 963iter [01:29, 11.15iter/s]
Best score: 0.3683: : 963iter [01:29, 11.15iter/s]
Best score: 0.3683: : 964iter [01:29, 11.15iter/s]
Best score: 0.3683: : 965iter [01:29, 11.40iter/s]
Best score: 0.3683: : 965iter [01:29, 11.40iter/s]
Best score: 0.3683: : 966iter [01:29, 11.40iter/s]
Best score: 0.3683: : 967iter [01:29, 11.61iter/s]
Best score: 0.3683: : 967iter [01:29, 11.61iter/s]
Best score: 0.3683: : 968iter [01:29, 11.61iter/s]
Best score: 0.3683: : 969iter [01:29, 11.73iter/s]
Best score: 0.3673: : 969iter [01:29, 11.73iter/s]
Best score: 0.3673: : 970iter [01:29, 11.73iter/s]
Best score: 0.3673: : 971iter [01:29, 11.64iter/s]
Best score: 0.3673: : 971iter [01:29, 11.64iter/s]
Best score: 0.3673: : 972iter [01:29, 11.64iter/s]
Best score: 0.3673: : 973iter [01:29, 11.79iter/s]
Best score: 0.3673: : 973iter [01:29, 11.79iter/s]
Best score: 0.3673: : 974iter [01:30, 11.79iter/s]
Best score: 0.3673: : 975iter [01:30, 11.88iter/s]
Best score: 0.3673: : 975iter [01:30, 11.88iter/s]
Best score: 0.3673: : 976iter [01:30, 11.88iter/s]
Best score: 0.3673: : 977iter [01:30, 11.96iter/s]
Best score: 0.3673: : 977iter [01:30, 11.96iter/s]
Best score: 0.3673: : 978iter [01:30, 11.96iter/s]
Best score: 0.3673: : 979iter [01:30, 12.02iter/s]
Best score: 0.3667: : 979iter [01:30, 12.02iter/s]
Best score: 0.3667: : 980iter [01:30, 12.02iter/s]
Best score: 0.3667: : 981iter [01:30, 11.85iter/s]
Best score: 0.3667: : 981iter [01:30, 11.85iter/s]
Best score: 0.3667: : 982iter [01:30, 11.85iter/s]
Best score: 0.3667: : 983iter [01:30, 11.92iter/s]
Best score: 0.3667: : 983iter [01:30, 11.92iter/s]
Best score: 0.3667: : 984iter [01:30, 11.92iter/s]
Best score: 0.3667: : 985iter [01:30, 11.97iter/s]
Best score: 0.3667: : 985iter [01:30, 11.97iter/s]
Best score: 0.3667: : 986iter [01:31, 11.97iter/s]
Best score: 0.3667: : 987iter [01:31, 11.98iter/s]
Best score: 0.3667: : 987iter [01:31, 11.98iter/s]
Best score: 0.3667: : 988iter [01:31, 11.98iter/s]
Best score: 0.3667: : 989iter [01:31, 12.02iter/s]
Best score: 0.3660: : 989iter [01:31, 12.02iter/s]
Best score: 0.3660: : 990iter [01:31, 12.02iter/s]
Best score: 0.3660: : 991iter [01:31, 11.74iter/s]
Best score: 0.3660: : 991iter [01:31, 11.74iter/s]
Best score: 0.3660: : 992iter [01:31, 11.74iter/s]
Best score: 0.3660: : 993iter [01:31, 11.78iter/s]
Best score: 0.3660: : 993iter [01:31, 11.78iter/s]
Best score: 0.3660: : 994iter [01:31, 11.78iter/s]
Best score: 0.3660: : 995iter [01:31, 11.88iter/s]
Best score: 0.3660: : 995iter [01:31, 11.88iter/s]
Best score: 0.3660: : 996iter [01:31, 11.88iter/s]
Best score: 0.3660: : 997iter [01:31, 11.94iter/s]
Best score: 0.3660: : 997iter [01:31, 11.94iter/s]
Best score: 0.3660: : 998iter [01:32, 11.94iter/s]
Best score: 0.3660: : 999iter [01:32, 11.99iter/s]
[ITER 1000] Best: 0.3650
[PARAMS] Current best parameters:
  fx: 502.6958
  fy: 502.9700
  px: 1028.0688
  py: 760.9366
  k1: 0.06438737
  k2: -0.06140639
  k3: 0.04035242
  k4: -0.01039140
  p1: -0.00761879
  p2: -0.00513859
  p3: 0.04854921
  p4: -0.02700872
  s1: -0.0473
  s2: 0.0272
  s3: -0.0435
  s4: 0.0268
  tilt_x: -0.0426
  tilt_y: 0.0059
  scale: 2.9738
  rotation: -0.2538

Best score: 0.3650: : 999iter [01:32, 11.99iter/s]
Best score: 0.3650: : 1000iter [01:32, 11.99iter/s]
Best score: 0.3650: : 1001iter [01:32,  7.66iter/s]
Best score: 0.3650: : 1001iter [01:32,  7.66iter/s]
Best score: 0.3650: : 1002iter [01:32,  7.66iter/s]
Best score: 0.3650: : 1003iter [01:32,  8.60iter/s]
Best score: 0.3650: : 1003iter [01:32,  8.60iter/s]
Best score: 0.3650: : 1004iter [01:32,  8.60iter/s]
Best score: 0.3650: : 1005iter [01:32,  9.41iter/s]
Best score: 0.3650: : 1005iter [01:32,  9.41iter/s]
Best score: 0.3650: : 1006iter [01:33,  9.41iter/s]
Best score: 0.3650: : 1007iter [01:33, 10.08iter/s]
Best score: 0.3650: : 1007iter [01:33, 10.08iter/s]
Best score: 0.3650: : 1008iter [01:33, 10.08iter/s]
Best score: 0.3650: : 1009iter [01:33, 10.60iter/s]
Best score: 0.3641: : 1009iter [01:33, 10.60iter/s]
Best score: 0.3641: : 1010iter [01:33, 10.60iter/s]
Best score: 0.3641: : 1011iter [01:33, 10.84iter/s]
Best score: 0.3641: : 1011iter [01:33, 10.84iter/s]
Best score: 0.3641: : 1012iter [01:33, 10.84iter/s]
Best score: 0.3641: : 1013iter [01:33, 11.20iter/s]
Best score: 0.3641: : 1013iter [01:33, 11.20iter/s]
Best score: 0.3641: : 1014iter [01:33, 11.20iter/s]
Best score: 0.3641: : 1015iter [01:33, 11.45iter/s]
Best score: 0.3641: : 1015iter [01:33, 11.45iter/s]
Best score: 0.3641: : 1016iter [01:33, 11.45iter/s]
Best score: 0.3641: : 1017iter [01:33, 11.63iter/s]
Best score: 0.3641: : 1017iter [01:33, 11.63iter/s]
Best score: 0.3641: : 1018iter [01:34, 11.63iter/s]
Best score: 0.3641: : 1019iter [01:34, 11.79iter/s]
Best score: 0.3638: : 1019iter [01:34, 11.79iter/s]
Best score: 0.3638: : 1020iter [01:34, 11.79iter/s]
Best score: 0.3638: : 1021iter [01:34, 11.69iter/s]
Best score: 0.3638: : 1021iter [01:34, 11.69iter/s]
Best score: 0.3638: : 1022iter [01:34, 11.69iter/s]
Best score: 0.3638: : 1023iter [01:34,  9.26iter/s]
Best score: 0.3638: : 1023iter [01:34,  9.26iter/s]
Best score: 0.3638: : 1024iter [01:34,  9.26iter/s]
Best score: 0.3638: : 1025iter [01:34,  9.96iter/s]
Best score: 0.3638: : 1025iter [01:34,  9.96iter/s]
Best score: 0.3638: : 1026iter [01:34,  9.96iter/s]
Best score: 0.3638: : 1027iter [01:34, 10.51iter/s]
Best score: 0.3638: : 1027iter [01:34, 10.51iter/s]
Best score: 0.3638: : 1028iter [01:35, 10.51iter/s]
Best score: 0.3638: : 1029iter [01:35, 10.90iter/s]
Best score: 0.3638: : 1029iter [01:35, 10.90iter/s]
Best score: 0.3638: : 1030iter [01:35, 10.90iter/s]
Best score: 0.3638: : 1031iter [01:35, 11.02iter/s]
Best score: 0.3638: : 1031iter [01:35, 11.02iter/s]
Best score: 0.3638: : 1032iter [01:35, 11.02iter/s]
Best score: 0.3638: : 1033iter [01:35, 11.33iter/s]
Best score: 0.3638: : 1033iter [01:35, 11.33iter/s]
Best score: 0.3638: : 1034iter [01:35, 11.33iter/s]
Best score: 0.3638: : 1035iter [01:35, 11.56iter/s]
Best score: 0.3638: : 1035iter [01:35, 11.56iter/s]
Best score: 0.3638: : 1036iter [01:35, 11.56iter/s]
Best score: 0.3638: : 1037iter [01:35, 11.71iter/s]
Best score: 0.3638: : 1037iter [01:35, 11.71iter/s]
Best score: 0.3638: : 1038iter [01:35, 11.71iter/s]
Best score: 0.3638: : 1039iter [01:35, 11.74iter/s]
Best score: 0.3638: : 1039iter [01:35, 11.74iter/s]
Best score: 0.3638: : 1040iter [01:36, 11.74iter/s]
Best score: 0.3638: : 1041iter [01:36, 11.61iter/s]
Best score: 0.3638: : 1041iter [01:36, 11.61iter/s]
Best score: 0.3638: : 1042iter [01:36, 11.61iter/s]
Best score: 0.3638: : 1043iter [01:36, 11.75iter/s]
Best score: 0.3638: : 1043iter [01:36, 11.75iter/s]
Best score: 0.3638: : 1044iter [01:36, 11.75iter/s]
Best score: 0.3638: : 1045iter [01:36, 11.76iter/s]
Best score: 0.3638: : 1045iter [01:36, 11.76iter/s]
Best score: 0.3638: : 1046iter [01:36, 11.76iter/s]
Best score: 0.3638: : 1047iter [01:36, 11.85iter/s]
Best score: 0.3638: : 1047iter [01:36, 11.85iter/s]
Best score: 0.3638: : 1048iter [01:36, 11.85iter/s]
Best score: 0.3638: : 1049iter [01:36, 11.87iter/s]
Best score: 0.3629: : 1049iter [01:36, 11.87iter/s]
[ITER 1050] Best: 0.3629
[PARAMS] Current best parameters:
  fx: 499.9998
  fy: 500.2659
  px: 1027.5538
  py: 760.4252
  k1: 0.06607785
  k2: -0.05886479
  k3: 0.03842067
  k4: -0.00994579
  p1: -0.00787095
  p2: -0.00541904
  p3: 0.04849222
  p4: -0.02679195
  s1: -0.0474
  s2: 0.0271
  s3: -0.0441
  s4: 0.0270
  tilt_x: -0.0441
  tilt_y: 0.0074
  scale: 2.9753
  rotation: -0.2468

Best score: 0.3629: : 1050iter [01:37, 11.87iter/s]
Best score: 0.3629: : 1051iter [01:37,  7.65iter/s]
Best score: 0.3629: : 1051iter [01:37,  7.65iter/s]
Best score: 0.3629: : 1052iter [01:37,  7.65iter/s]
Best score: 0.3629: : 1053iter [01:37,  8.58iter/s]
Best score: 0.3629: : 1053iter [01:37,  8.58iter/s]
Best score: 0.3629: : 1054iter [01:37,  8.58iter/s]
Best score: 0.3629: : 1055iter [01:37,  9.39iter/s]
Best score: 0.3629: : 1055iter [01:37,  9.39iter/s]
Best score: 0.3629: : 1056iter [01:37,  9.39iter/s]
Best score: 0.3629: : 1057iter [01:37, 10.04iter/s]
Best score: 0.3629: : 1057iter [01:37, 10.04iter/s]
Best score: 0.3629: : 1058iter [01:37, 10.04iter/s]
Best score: 0.3629: : 1059iter [01:37, 10.58iter/s]
Best score: 0.3627: : 1059iter [01:37, 10.58iter/s]
Best score: 0.3627: : 1060iter [01:38, 10.58iter/s]
Best score: 0.3627: : 1061iter [01:38, 10.82iter/s]
Best score: 0.3627: : 1061iter [01:38, 10.82iter/s]
Best score: 0.3627: : 1062iter [01:38, 10.82iter/s]
Best score: 0.3627: : 1063iter [01:38, 11.17iter/s]
Best score: 0.3627: : 1063iter [01:38, 11.17iter/s]
Best score: 0.3627: : 1064iter [01:38, 11.17iter/s]
Best score: 0.3627: : 1065iter [01:38, 11.43iter/s]
Best score: 0.3627: : 1065iter [01:38, 11.43iter/s]
Best score: 0.3627: : 1066iter [01:38, 11.43iter/s]
Best score: 0.3627: : 1067iter [01:38, 11.61iter/s]
Best score: 0.3627: : 1067iter [01:38, 11.61iter/s]
Best score: 0.3627: : 1068iter [01:38, 11.61iter/s]
Best score: 0.3627: : 1069iter [01:38, 11.66iter/s]
Best score: 0.3619: : 1069iter [01:38, 11.66iter/s]
Best score: 0.3619: : 1070iter [01:38, 11.66iter/s]
Best score: 0.3619: : 1071iter [01:38, 11.51iter/s]
Best score: 0.3619: : 1071iter [01:38, 11.51iter/s]
Best score: 0.3619: : 1072iter [01:39, 11.51iter/s]
Best score: 0.3619: : 1073iter [01:39, 11.64iter/s]
Best score: 0.3619: : 1073iter [01:39, 11.64iter/s]
Best score: 0.3619: : 1074iter [01:39, 11.64iter/s]
Best score: 0.3619: : 1075iter [01:39, 11.78iter/s]
Best score: 0.3619: : 1075iter [01:39, 11.78iter/s]
Best score: 0.3619: : 1076iter [01:39, 11.78iter/s]
Best score: 0.3619: : 1077iter [01:39, 11.87iter/s]
Best score: 0.3619: : 1077iter [01:39, 11.87iter/s]
Best score: 0.3619: : 1078iter [01:39, 11.87iter/s]
Best score: 0.3619: : 1079iter [01:39, 11.92iter/s]
Best score: 0.3613: : 1079iter [01:39, 11.92iter/s]
Best score: 0.3613: : 1080iter [01:39, 11.92iter/s]
Best score: 0.3613: : 1081iter [01:39, 11.77iter/s]
Best score: 0.3613: : 1081iter [01:39, 11.77iter/s]
Best score: 0.3613: : 1082iter [01:39, 11.77iter/s]
Best score: 0.3613: : 1083iter [01:39, 11.88iter/s]
Best score: 0.3613: : 1083iter [01:39, 11.88iter/s]
Best score: 0.3613: : 1084iter [01:40, 11.88iter/s]
Best score: 0.3613: : 1085iter [01:40, 11.95iter/s]
Best score: 0.3613: : 1085iter [01:40, 11.95iter/s]
Best score: 0.3613: : 1086iter [01:40, 11.95iter/s]
Best score: 0.3613: : 1087iter [01:40, 12.00iter/s]
Best score: 0.3613: : 1087iter [01:40, 12.00iter/s]
Best score: 0.3613: : 1088iter [01:40, 12.00iter/s]
Best score: 0.3613: : 1089iter [01:40, 12.01iter/s]
Best score: 0.3613: : 1089iter [01:40, 12.01iter/s]
Best score: 0.3613: : 1090iter [01:40, 12.01iter/s]
Best score: 0.3613: : 1091iter [01:40, 11.83iter/s]
Best score: 0.3613: : 1091iter [01:40, 11.83iter/s]
Best score: 0.3613: : 1092iter [01:40, 11.83iter/s]
Best score: 0.3613: : 1093iter [01:40, 11.91iter/s]
Best score: 0.3613: : 1093iter [01:40, 11.91iter/s]
Best score: 0.3613: : 1094iter [01:40, 11.91iter/s]
Best score: 0.3613: : 1095iter [01:40, 11.97iter/s]
Best score: 0.3613: : 1095iter [01:40, 11.97iter/s]
Best score: 0.3613: : 1096iter [01:41, 11.97iter/s]
Best score: 0.3613: : 1097iter [01:41, 12.02iter/s]
Best score: 0.3613: : 1097iter [01:41, 12.02iter/s]
Best score: 0.3613: : 1098iter [01:41, 12.02iter/s]
Best score: 0.3613: : 1099iter [01:41, 12.05iter/s]
[ITER 1100] Best: 0.3613
[PARAMS] Current best parameters:
  fx: 494.5118
  fy: 494.8392
  px: 1027.1650
  py: 758.9466
  k1: 0.07050581
  k2: -0.05464520
  k3: 0.03461589
  k4: -0.00898870
  p1: -0.00923099
  p2: -0.00765002
  p3: 0.04916652
  p4: -0.02481127
  s1: -0.0465
  s2: 0.0255
  s3: -0.0447
  s4: 0.0249
  tilt_x: -0.0472
  tilt_y: 0.0045
  scale: 2.9773
  rotation: -0.2406

Best score: 0.3613: : 1099iter [01:41, 12.05iter/s]
Best score: 0.3613: : 1100iter [01:41, 10.82iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.361318 -> 0.358506

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 98,996 → 93,310 within 3500mm ring
  Ring polish did not improve score: 0.358506
  Success: True
  Tangential distortion: p1=-0.009113, p2=-0.007257, p3=0.049625, p4=-0.024019
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.3585
[✅] Parameters copied to: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 494.5118275510799
    fy: 494.8391696844011
    px: 1027.1649715887033
    py: 758.9466287559421
    k1: 0.06949022689233222
    k2: -0.05399830046548039
    k3: 0.03487984359318852
    k4: -0.009163730773532663
    p1: -0.00911341207200809
    p2: -0.007256990152122733
    p3: 0.0496249357601178
    p4: -0.024018650892247934
    scale: 2.9782266712473353
    rotation: -0.2406499092384746
    mmpp: 3.4203772373692103

[🔄] Converting 1802 frames to PTD, creating debug images for 400 calibration frames...

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

   🔄 2000R:   0%|          | 0/592 [00:00<?, ?frame/s]

   🔄 2000R:   3%|▎         | 18/592 [00:00<00:03, 170.72frame/s]

   🔄 2000R:   6%|▌         | 36/592 [00:00<00:03, 171.51frame/s]

   🔄 2000R:   9%|▉         | 54/592 [00:00<00:03, 172.57frame/s]

   🔄 2000R:  12%|█▏        | 72/592 [00:00<00:02, 173.68frame/s]

   🔄 2000R:  15%|█▌        | 90/592 [00:00<00:02, 175.28frame/s]

   🔄 2000R:  18%|█▊        | 108/592 [00:00<00:02, 176.28frame/s]

   🔄 2000R:  21%|██▏       | 126/592 [00:00<00:02, 176.94frame/s]

   🔄 2000R:  24%|██▍       | 144/592 [00:00<00:02, 177.51frame/s]

   🔄 2000R:  27%|██▋       | 162/592 [00:00<00:02, 177.88frame/s]

   🔄 2000R:  30%|███       | 180/592 [00:01<00:02, 177.69frame/s]

   🔄 2000R:  33%|███▎      | 198/592 [00:01<00:02, 177.01frame/s]

   🔄 2000R:  36%|███▋      | 216/592 [00:01<00:02, 176.44frame/s]

   🔄 2000R:  40%|███▉      | 234/592 [00:01<00:02, 176.33frame/s]

   🔄 2000R:  43%|████▎     | 252/592 [00:01<00:01, 176.74frame/s]

   🔄 2000R:  46%|████▌     | 270/592 [00:01<00:01, 177.16frame/s]

   🔄 2000R:  49%|████▊     | 288/592 [00:01<00:01, 177.61frame/s]

   🔄 2000R:  52%|█████▏    | 307/592 [00:01<00:01, 178.40frame/s]

   🔄 2000R:  55%|█████▌    | 326/592 [00:01<00:01, 179.12frame/s]

   🔄 2000R:  58%|█████▊    | 345/592 [00:01<00:01, 179.80frame/s]

   🔄 2000R:  61%|██████▏   | 364/592 [00:02<00:01, 180.26frame/s]

   🔄 2000R:  65%|██████▍   | 383/592 [00:02<00:01, 180.64frame/s]

   🔄 2000R:  68%|██████▊   | 402/592 [00:02<00:01, 180.86frame/s]

   🔄 2000R:  71%|███████   | 421/592 [00:02<00:00, 180.88frame/s]

   🔄 2000R:  74%|███████▍  | 440/592 [00:02<00:00, 180.58frame/s]

   🔄 2000R:  78%|███████▊  | 459/592 [00:02<00:00, 180.18frame/s]

   🔄 2000R:  81%|████████  | 478/592 [00:02<00:00, 179.06frame/s]

   🔄 2000R:  84%|████████▍ | 496/592 [00:02<00:00, 178.71frame/s]

   🔄 2000R:  87%|████████▋ | 514/592 [00:02<00:00, 178.45frame/s]

   🔄 2000R:  90%|████████▉ | 532/592 [00:02<00:00, 177.89frame/s]

   🔄 2000R:  93%|█████████▎| 550/592 [00:03<00:00, 176.54frame/s]

   🔄 2000R:  96%|█████████▌| 568/592 [00:03<00:00, 175.76frame/s]

   🔄 2000R:  99%|█████████▉| 586/592 [00:03<00:00, 175.38frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:06<00:18,  6.10s/rig]

   🔄 2000L:   0%|          | 0/561 [00:00<?, ?frame/s]

   🔄 2000L:   3%|▎         | 18/561 [00:00<00:03, 176.25frame/s]

   🔄 2000L:   6%|▋         | 36/561 [00:00<00:02, 176.58frame/s]

   🔄 2000L:  10%|▉         | 54/561 [00:00<00:02, 176.23frame/s]

   🔄 2000L:  13%|█▎        | 72/561 [00:00<00:02, 176.83frame/s]

   🔄 2000L:  16%|█▌        | 90/561 [00:00<00:02, 177.72frame/s]

   🔄 2000L:  19%|█▉        | 109/561 [00:00<00:02, 181.17frame/s]

   🔄 2000L:  23%|██▎       | 128/561 [00:00<00:02, 184.01frame/s]

   🔄 2000L:  26%|██▌       | 147/561 [00:00<00:02, 182.51frame/s]

   🔄 2000L:  30%|██▉       | 166/561 [00:00<00:02, 182.23frame/s]

   🔄 2000L:  33%|███▎      | 185/561 [00:01<00:02, 181.22frame/s]

   🔄 2000L:  36%|███▋      | 204/561 [00:01<00:01, 180.60frame/s]

   🔄 2000L:  40%|███▉      | 223/561 [00:01<00:01, 180.22frame/s]

   🔄 2000L:  43%|████▎     | 242/561 [00:01<00:01, 180.53frame/s]

   🔄 2000L:  47%|████▋     | 261/561 [00:01<00:01, 180.74frame/s]

   🔄 2000L:  50%|████▉     | 280/561 [00:01<00:01, 180.53frame/s]

   🔄 2000L:  53%|█████▎    | 299/561 [00:01<00:01, 180.53frame/s]

   🔄 2000L:  57%|█████▋    | 318/561 [00:01<00:01, 180.44frame/s]

   🔄 2000L:  60%|██████    | 337/561 [00:01<00:01, 180.23frame/s]

   🔄 2000L:  63%|██████▎   | 356/561 [00:01<00:01, 179.92frame/s]

   🔄 2000L:  67%|██████▋   | 374/561 [00:02<00:01, 179.36frame/s]

   🔄 2000L:  70%|██████▉   | 392/561 [00:02<00:00, 178.31frame/s]

   🔄 2000L:  73%|███████▎  | 410/561 [00:02<00:00, 177.20frame/s]

   🔄 2000L:  76%|███████▋  | 428/561 [00:02<00:00, 176.78frame/s]

   🔄 2000L:  80%|███████▉  | 446/561 [00:02<00:00, 176.25frame/s]

   🔄 2000L:  83%|████████▎ | 464/561 [00:02<00:00, 176.01frame/s]

   🔄 2000L:  86%|████████▌ | 482/561 [00:02<00:00, 176.17frame/s]

   🔄 2000L:  89%|████████▉ | 500/561 [00:02<00:00, 176.44frame/s]

   🔄 2000L:  92%|█████████▏| 518/561 [00:02<00:00, 176.35frame/s]

   🔄 2000L:  96%|█████████▌| 536/561 [00:02<00:00, 175.61frame/s]

   🔄 2000L:  99%|█████████▉| 554/561 [00:03<00:00, 175.20frame/s]

                                                                  
📁 Rigs:  50%|█████     | 2/4 [00:11<00:11,  5.87s/rig]

   🔄 1000:   0%|          | 0/241 [00:00<?, ?frame/s]

   🔄 1000:   7%|▋         | 18/241 [00:00<00:01, 178.20frame/s]

   🔄 1000:  15%|█▌        | 37/241 [00:00<00:01, 179.95frame/s]

   🔄 1000:  23%|██▎       | 56/241 [00:00<00:01, 183.86frame/s]

   🔄 1000:  31%|███       | 75/241 [00:00<00:00, 183.94frame/s]

   🔄 1000:  39%|███▉      | 94/241 [00:00<00:00, 182.20frame/s]

   🔄 1000:  47%|████▋     | 113/241 [00:00<00:00, 181.05frame/s]

   🔄 1000:  55%|█████▍    | 132/241 [00:00<00:00, 181.03frame/s]

   🔄 1000:  63%|██████▎   | 151/241 [00:00<00:00, 180.92frame/s]

   🔄 1000:  71%|███████   | 170/241 [00:00<00:00, 181.40frame/s]

   🔄 1000:  79%|███████▉  | 190/241 [00:01<00:00, 185.32frame/s]

   🔄 1000:  87%|████████▋ | 209/241 [00:01<00:00, 186.71frame/s]

   🔄 1000:  95%|█████████▍| 228/241 [00:01<00:00, 181.95frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:13<00:04,  4.19s/rig]

   🔄 1500:   0%|          | 0/408 [00:00<?, ?frame/s]

   🔄 1500:   4%|▍         | 18/408 [00:00<00:02, 177.01frame/s]

   🔄 1500:   9%|▉         | 36/408 [00:00<00:02, 178.32frame/s]

   🔄 1500:  13%|█▎        | 55/408 [00:00<00:01, 182.68frame/s]

   🔄 1500:  18%|█▊        | 74/408 [00:00<00:01, 184.71frame/s]

   🔄 1500:  23%|██▎       | 94/408 [00:00<00:01, 189.29frame/s]

   🔄 1500:  28%|██▊       | 115/408 [00:00<00:01, 194.25frame/s]

   🔄 1500:  33%|███▎      | 135/408 [00:00<00:01, 192.64frame/s]

   🔄 1500:  38%|███▊      | 155/408 [00:00<00:01, 188.39frame/s]

   🔄 1500:  43%|████▎     | 174/408 [00:00<00:01, 186.94frame/s]

   🔄 1500:  47%|████▋     | 193/408 [00:01<00:01, 185.49frame/s]

   🔄 1500:  52%|█████▏    | 212/408 [00:01<00:01, 184.34frame/s]

   🔄 1500:  57%|█████▋    | 231/408 [00:01<00:00, 184.72frame/s]

   🔄 1500:  61%|██████▏   | 250/408 [00:01<00:00, 185.76frame/s]

   🔄 1500:  66%|██████▌   | 269/408 [00:01<00:00, 186.45frame/s]

   🔄 1500:  71%|███████   | 288/408 [00:01<00:00, 185.21frame/s]

   🔄 1500:  75%|███████▌  | 307/408 [00:01<00:00, 182.58frame/s]

   🔄 1500:  80%|███████▉  | 326/408 [00:01<00:00, 183.99frame/s]

   🔄 1500:  85%|████████▍ | 345/408 [00:01<00:00, 184.79frame/s]

   🔄 1500:  89%|████████▉ | 364/408 [00:01<00:00, 185.03frame/s]

   🔄 1500:  94%|█████████▍| 383/408 [00:02<00:00, 185.33frame/s]

   🔄 1500:  99%|█████████▊| 402/408 [00:02<00:00, 182.93frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:17<00:00,  4.11s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:17<00:00,  4.50s/rig]
[✅] Saved PTDs: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 173.97frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.60frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 176.78frame/s]

   🔄 2000R:  73%|███████▎  | 73/100 [00:00<00:00, 178.36frame/s]

   🔄 2000R:  91%|█████████ | 91/100 [00:00<00:00, 176.68frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.10rig/s]

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 174.06frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 176.97frame/s]

   🔄 2000L:  55%|█████▌    | 55/100 [00:00<00:00, 178.50frame/s]

   🔄 2000L:  73%|███████▎  | 73/100 [00:00<00:00, 177.71frame/s]

   🔄 2000L:  91%|█████████ | 91/100 [00:00<00:00, 177.10frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:02<00:02,  1.02s/rig]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 184.06frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 181.48frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 181.05frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 182.57frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 184.01frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.04rig/s]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 178.31frame/s]

   🔄 1500:  38%|███▊      | 38/100 [00:00<00:00, 188.26frame/s]

   🔄 1500:  57%|█████▋    | 57/100 [00:00<00:00, 184.65frame/s]

   🔄 1500:  76%|███████▌  | 76/100 [00:00<00:00, 183.41frame/s]

   🔄 1500:  95%|█████████▌| 95/100 [00:00<00:00, 116.59frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.00rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.01rig/s]
[✅] Saved PTDs: /working/MDC053_W024(6)_2026-08-26_bent-wand/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%|▎         | 91655/3080448 [00:00<00:03, 916546.50px/s]
📤 Writing LUT:   6%|▋         | 193666/3080448 [00:00<00:02, 977458.43px/s]
📤 Writing LUT:   9%|▉         | 291749/3080448 [00:00<00:02, 978997.32px/s]
📤 Writing LUT:  13%|█▎        | 389649/3080448 [00:00<00:02, 977452.18px/s]
📤 Writing LUT:  16%|█▌        | 487395/3080448 [00:00<00:02, 961056.39px/s]
📤 Writing LUT:  19%|█▉        | 583547/3080448 [00:00<00:02, 930861.27px/s]
📤 Writing LUT:  22%|██▏       | 676807/3080448 [00:00<00:02, 916526.46px/s]
📤 Writing LUT:  25%|██▍       | 768583/3080448 [00:00<00:02, 913341.05px/s]
📤 Writing LUT:  28%|██▊       | 859994/3080448 [00:00<00:02, 909293.73px/s]
📤 Writing LUT:  31%|███       | 950971/3080448 [00:01<00:02, 904131.00px/s]
📤 Writing LUT:  34%|███▍      | 1041738/3080448 [00:01<00:02, 905192.90px/s]
📤 Writing LUT:  37%|███▋      | 1132280/3080448 [00:01<00:02, 902299.30px/s]
📤 Writing LUT:  40%|███▉      | 1222524/3080448 [00:01<00:02, 894671.05px/s]
📤 Writing LUT:  43%|████▎     | 1313076/3080448 [00:01<00:01, 897902.07px/s]
📤 Writing LUT:  46%|████▌     | 1402882/3080448 [00:01<00:01, 895876.46px/s]
📤 Writing LUT:  48%|████▊     | 1492480/3080448 [00:01<00:01, 892982.44px/s]
📤 Writing LUT:  51%|█████▏    | 1584917/3080448 [00:01<00:01, 902343.58px/s]
📤 Writing LUT:  54%|█████▍    | 1675164/3080448 [00:01<00:01, 900826.78px/s]
📤 Writing LUT:  57%|█████▋    | 1765256/3080448 [00:01<00:01, 895695.62px/s]
📤 Writing LUT:  60%|██████    | 1854836/3080448 [00:02<00:01, 892462.07px/s]
📤 Writing LUT:  63%|██████▎   | 1945616/3080448 [00:02<00:01, 897029.22px/s]
📤 Writing LUT:  66%|██████▌   | 2035328/3080448 [00:02<00:01, 893305.00px/s]
📤 Writing LUT:  69%|██████▉   | 2124667/3080448 [00:02<00:01, 886820.47px/s]
📤 Writing LUT:  72%|███████▏  | 2213919/3080448 [00:02<00:00, 888511.50px/s]
📤 Writing LUT:  75%|███████▍  | 2302781/3080448 [00:02<00:00, 888166.78px/s]
📤 Writing LUT:  78%|███████▊  | 2393512/3080448 [00:02<00:00, 893878.35px/s]
📤 Writing LUT:  81%|████████  | 2483525/3080448 [00:02<00:00, 895744.88px/s]
📤 Writing LUT:  84%|████████▎ | 2574486/3080448 [00:02<00:00, 899891.09px/s]
📤 Writing LUT:  87%|████████▋ | 2665531/3080448 [00:02<00:00, 903050.90px/s]
📤 Writing LUT:  89%|████████▉ | 2755841/3080448 [00:03<00:00, 898822.88px/s]
📤 Writing LUT:  92%|█████████▏| 2846038/3080448 [00:03<00:00, 899762.71px/s]
📤 Writing LUT:  95%|█████████▌| 2936652/3080448 [00:03<00:00, 901668.66px/s]
📤 Writing LUT:  98%|█████████▊| 3028684/3080448 [00:03<00:00, 907252.26px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 906746.07px/s]
[✅] LUT written to: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/4_undistorted/output/LUT.lut
[✅] LUT copied to: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/MDC053_W024(6)_unknown_2026-08-26_bent-wand.lut

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

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

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

   🔥 2000R:   0%|          | 0/592 [00:00<?, ?frame/s]

   🔥 2000R:   1%|▏         | 8/592 [00:00<00:08, 72.30frame/s]

   🔥 2000R:   3%|▎         | 17/592 [00:00<00:07, 77.08frame/s]

   🔥 2000R:   4%|▍         | 26/592 [00:00<00:07, 78.31frame/s]

   🔥 2000R:   6%|▌         | 34/592 [00:00<00:07, 78.29frame/s]

   🔥 2000R:   7%|▋         | 42/592 [00:00<00:06, 78.58frame/s]

   🔥 2000R:   8%|▊         | 50/592 [00:00<00:06, 77.98frame/s]

   🔥 2000R:  10%|▉         | 58/592 [00:00<00:06, 78.55frame/s]

   🔥 2000R:  11%|█         | 66/592 [00:00<00:06, 78.87frame/s]

   🔥 2000R:  13%|█▎        | 75/592 [00:00<00:06, 80.96frame/s]

   🔥 2000R:  14%|█▍        | 84/592 [00:01<00:06, 82.49frame/s]

   🔥 2000R:  16%|█▌        | 93/592 [00:01<00:05, 83.92frame/s]

   🔥 2000R:  17%|█▋        | 102/592 [00:01<00:05, 85.01frame/s]

   🔥 2000R:  19%|█▉        | 111/592 [00:01<00:05, 86.28frame/s]

   🔥 2000R:  20%|██        | 121/592 [00:01<00:05, 89.25frame/s]

   🔥 2000R:  22%|██▏       | 131/592 [00:01<00:05, 90.41frame/s]

   🔥 2000R:  24%|██▍       | 141/592 [00:01<00:04, 91.04frame/s]

   🔥 2000R:  26%|██▌       | 151/592 [00:01<00:04, 92.77frame/s]

   🔥 2000R:  27%|██▋       | 161/592 [00:01<00:04, 94.20frame/s]

   🔥 2000R:  29%|██▉       | 171/592 [00:01<00:04, 93.93frame/s]

   🔥 2000R:  31%|███       | 181/592 [00:02<00:04, 93.42frame/s]

   🔥 2000R:  32%|███▏      | 191/592 [00:02<00:04, 92.85frame/s]

   🔥 2000R:  34%|███▍      | 201/592 [00:02<00:04, 91.19frame/s]

   🔥 2000R:  36%|███▌      | 211/592 [00:02<00:04, 90.84frame/s]

   🔥 2000R:  37%|███▋      | 221/592 [00:02<00:04, 90.34frame/s]

   🔥 2000R:  39%|███▉      | 231/592 [00:02<00:04, 89.60frame/s]

   🔥 2000R:  41%|████      | 241/592 [00:02<00:03, 89.84frame/s]

   🔥 2000R:  42%|████▏     | 251/592 [00:02<00:03, 90.68frame/s]

   🔥 2000R:  44%|████▍     | 261/592 [00:02<00:03, 90.47frame/s]

   🔥 2000R:  46%|████▌     | 271/592 [00:03<00:03, 91.29frame/s]

   🔥 2000R:  47%|████▋     | 281/592 [00:03<00:03, 91.32frame/s]

   🔥 2000R:  49%|████▉     | 291/592 [00:03<00:03, 92.25frame/s]

   🔥 2000R:  51%|█████     | 301/592 [00:03<00:03, 91.35frame/s]

   🔥 2000R:  53%|█████▎    | 311/592 [00:03<00:03, 91.66frame/s]

   🔥 2000R:  54%|█████▍    | 321/592 [00:03<00:03, 89.66frame/s]

   🔥 2000R:  56%|█████▌    | 331/592 [00:03<00:02, 90.73frame/s]

   🔥 2000R:  58%|█████▊    | 341/592 [00:03<00:02, 91.52frame/s]

   🔥 2000R:  59%|█████▉    | 351/592 [00:03<00:02, 91.15frame/s]

   🔥 2000R:  61%|██████    | 361/592 [00:04<00:02, 90.04frame/s]

   🔥 2000R:  63%|██████▎   | 371/592 [00:04<00:02, 89.84frame/s]

   🔥 2000R:  64%|██████▍   | 380/592 [00:04<00:02, 89.29frame/s]

   🔥 2000R:  66%|██████▌   | 389/592 [00:04<00:02, 88.70frame/s]

   🔥 2000R:  67%|██████▋   | 398/592 [00:04<00:02, 88.61frame/s]

   🔥 2000R:  69%|██████▉   | 407/592 [00:04<00:02, 88.22frame/s]

   🔥 2000R:  70%|███████   | 416/592 [00:04<00:02, 87.33frame/s]

   🔥 2000R:  72%|███████▏  | 425/592 [00:04<00:01, 86.27frame/s]

   🔥 2000R:  73%|███████▎  | 434/592 [00:04<00:01, 85.95frame/s]

   🔥 2000R:  75%|███████▍  | 443/592 [00:05<00:01, 85.04frame/s]

   🔥 2000R:  76%|███████▋  | 452/592 [00:05<00:01, 84.35frame/s]

   🔥 2000R:  78%|███████▊  | 461/592 [00:05<00:01, 83.85frame/s]

   🔥 2000R:  79%|███████▉  | 470/592 [00:05<00:01, 82.81frame/s]

   🔥 2000R:  81%|████████  | 479/592 [00:05<00:01, 82.20frame/s]

   🔥 2000R:  82%|████████▏ | 488/592 [00:05<00:01, 83.66frame/s]

   🔥 2000R:  84%|████████▍ | 497/592 [00:05<00:01, 85.27frame/s]

   🔥 2000R:  85%|████████▌ | 506/592 [00:05<00:00, 86.08frame/s]

   🔥 2000R:  87%|████████▋ | 515/592 [00:05<00:00, 86.18frame/s]

   🔥 2000R:  89%|████████▊ | 524/592 [00:05<00:00, 85.74frame/s]

   🔥 2000R:  90%|█████████ | 533/592 [00:06<00:00, 85.82frame/s]

   🔥 2000R:  92%|█████████▏| 542/592 [00:06<00:00, 84.72frame/s]

   🔥 2000R:  93%|█████████▎| 551/592 [00:06<00:00, 83.13frame/s]

   🔥 2000R:  95%|█████████▍| 560/592 [00:06<00:00, 82.04frame/s]

   🔥 2000R:  96%|█████████▌| 569/592 [00:06<00:00, 80.58frame/s]

   🔥 2000R:  98%|█████████▊| 578/592 [00:06<00:00, 80.31frame/s]

   🔥 2000R:  99%|█████████▉| 587/592 [00:06<00:00, 80.15frame/s]

                                                                 [✅] 2000R: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:26,  8.71s/rig]

   🔥 2000L:   0%|          | 0/561 [00:00<?, ?frame/s]

   🔥 2000L:   1%|▏         | 8/561 [00:00<00:07, 77.87frame/s]

   🔥 2000L:   3%|▎         | 17/561 [00:00<00:06, 79.63frame/s]

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   🔥 2000L:  11%|█         | 59/561 [00:00<00:06, 80.66frame/s]

   🔥 2000L:  12%|█▏        | 68/561 [00:00<00:05, 83.32frame/s]

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   🔥 2000L:  16%|█▌        | 88/561 [00:01<00:05, 88.41frame/s]

   🔥 2000L:  17%|█▋        | 98/561 [00:01<00:05, 90.64frame/s]

   🔥 2000L:  19%|█▉        | 109/561 [00:01<00:04, 95.99frame/s]

   🔥 2000L:  22%|██▏       | 121/561 [00:01<00:04, 100.24frame/s]

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   🔥 2000L:  25%|██▌       | 142/561 [00:01<00:04, 97.67frame/s]

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   🔥 2000L:  31%|███       | 172/561 [00:01<00:04, 94.05frame/s]

   🔥 2000L:  32%|███▏      | 182/561 [00:02<00:04, 94.52frame/s]

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   🔥 2000L:  36%|███▌      | 202/561 [00:02<00:03, 94.85frame/s]

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   🔥 2000L:  40%|███▉      | 222/561 [00:02<00:03, 95.96frame/s]

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   🔥 2000L:  63%|██████▎   | 355/561 [00:03<00:02, 83.45frame/s]

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   🔥 2000L:  66%|██████▋   | 373/561 [00:04<00:02, 82.46frame/s]

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   🔥 2000L:  70%|██████▉   | 391/561 [00:04<00:02, 80.17frame/s]

   🔥 2000L:  71%|███████▏  | 400/561 [00:04<00:02, 79.78frame/s]

   🔥 2000L:  73%|███████▎  | 409/561 [00:04<00:01, 79.95frame/s]

   🔥 2000L:  74%|███████▍  | 417/561 [00:04<00:01, 79.86frame/s]

   🔥 2000L:  76%|███████▌  | 426/561 [00:04<00:01, 80.76frame/s]

   🔥 2000L:  78%|███████▊  | 435/561 [00:04<00:01, 81.21frame/s]

   🔥 2000L:  79%|███████▉  | 444/561 [00:05<00:01, 81.88frame/s]

   🔥 2000L:  81%|████████  | 453/561 [00:05<00:01, 82.98frame/s]

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   🔥 2000L:  84%|████████▍ | 471/561 [00:05<00:01, 83.51frame/s]

   🔥 2000L:  86%|████████▌ | 480/561 [00:05<00:00, 83.28frame/s]

   🔥 2000L:  87%|████████▋ | 489/561 [00:05<00:00, 84.05frame/s]

   🔥 2000L:  89%|████████▉ | 499/561 [00:05<00:00, 86.05frame/s]

   🔥 2000L:  91%|█████████ | 509/561 [00:05<00:00, 88.34frame/s]

   🔥 2000L:  93%|█████████▎| 519/561 [00:05<00:00, 89.77frame/s]

   🔥 2000L:  94%|█████████▍| 528/561 [00:06<00:00, 88.26frame/s]

   🔥 2000L:  96%|█████████▌| 537/561 [00:06<00:00, 85.85frame/s]

   🔥 2000L:  97%|█████████▋| 546/561 [00:06<00:00, 83.45frame/s]

   🔥 2000L:  99%|█████████▉| 555/561 [00:06<00:00, 83.13frame/s]

                                                                 [✅] 2000L: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:16<00:16,  8.46s/rig]

   🔥 1000:   0%|          | 0/241 [00:00<?, ?frame/s]

   🔥 1000:   3%|▎         | 8/241 [00:00<00:02, 79.94frame/s]

   🔥 1000:   7%|▋         | 17/241 [00:00<00:02, 85.18frame/s]

   🔥 1000:  11%|█         | 26/241 [00:00<00:02, 86.47frame/s]

   🔥 1000:  15%|█▍        | 36/241 [00:00<00:02, 88.67frame/s]

   🔥 1000:  19%|█▉        | 46/241 [00:00<00:02, 91.89frame/s]

   🔥 1000:  23%|██▎       | 56/241 [00:00<00:02, 89.75frame/s]

   🔥 1000:  27%|██▋       | 65/241 [00:00<00:01, 89.50frame/s]

   🔥 1000:  31%|███       | 74/241 [00:00<00:01, 88.81frame/s]

   🔥 1000:  34%|███▍      | 83/241 [00:00<00:01, 88.16frame/s]

   🔥 1000:  38%|███▊      | 92/241 [00:01<00:01, 85.92frame/s]

   🔥 1000:  42%|████▏     | 101/241 [00:01<00:01, 84.05frame/s]

   🔥 1000:  46%|████▌     | 110/241 [00:01<00:01, 84.17frame/s]

   🔥 1000:  50%|████▉     | 120/241 [00:01<00:01, 86.24frame/s]

   🔥 1000:  54%|█████▎    | 129/241 [00:01<00:01, 86.14frame/s]

   🔥 1000:  57%|█████▋    | 138/241 [00:01<00:01, 84.51frame/s]

   🔥 1000:  61%|██████    | 147/241 [00:01<00:01, 83.76frame/s]

   🔥 1000:  65%|██████▍   | 156/241 [00:01<00:01, 83.56frame/s]

   🔥 1000:  68%|██████▊   | 165/241 [00:01<00:00, 83.49frame/s]

   🔥 1000:  72%|███████▏  | 174/241 [00:02<00:00, 82.86frame/s]

   🔥 1000:  76%|███████▌  | 183/241 [00:02<00:00, 84.80frame/s]

   🔥 1000:  80%|███████▉  | 192/241 [00:02<00:00, 84.58frame/s]

   🔥 1000:  83%|████████▎ | 201/241 [00:02<00:00, 85.89frame/s]

   🔥 1000:  87%|████████▋ | 210/241 [00:02<00:00, 87.03frame/s]

   🔥 1000:  91%|█████████ | 219/241 [00:02<00:00, 87.66frame/s]

   🔥 1000:  95%|█████████▍| 228/241 [00:02<00:00, 86.57frame/s]

   🔥 1000:  98%|█████████▊| 237/241 [00:02<00:00, 87.02frame/s]

                                                                [✅] 1000: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:20<00:06,  6.21s/rig]

   🔥 1500:   0%|          | 0/408 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 9/408 [00:00<00:04, 88.43frame/s]

   🔥 1500:   5%|▍         | 19/408 [00:00<00:04, 91.14frame/s]

   🔥 1500:   7%|▋         | 29/408 [00:00<00:04, 92.23frame/s]

   🔥 1500:  10%|▉         | 39/408 [00:00<00:03, 93.04frame/s]

   🔥 1500:  12%|█▏        | 49/408 [00:00<00:03, 92.45frame/s]

   🔥 1500:  14%|█▍        | 59/408 [00:00<00:03, 91.51frame/s]

   🔥 1500:  17%|█▋        | 69/408 [00:00<00:03, 92.35frame/s]

   🔥 1500:  19%|█▉        | 79/408 [00:00<00:03, 93.91frame/s]

   🔥 1500:  22%|██▏       | 89/408 [00:00<00:03, 93.84frame/s]

   🔥 1500:  24%|██▍       | 99/408 [00:01<00:03, 93.41frame/s]

   🔥 1500:  27%|██▋       | 109/408 [00:01<00:03, 91.15frame/s]

   🔥 1500:  29%|██▉       | 120/408 [00:01<00:03, 95.44frame/s]

   🔥 1500:  32%|███▏      | 130/408 [00:01<00:02, 92.97frame/s]

   🔥 1500:  34%|███▍      | 140/408 [00:01<00:02, 92.25frame/s]

   🔥 1500:  37%|███▋      | 150/408 [00:01<00:02, 89.52frame/s]

   🔥 1500:  39%|███▉      | 159/408 [00:01<00:02, 88.77frame/s]

   🔥 1500:  41%|████      | 168/408 [00:01<00:02, 88.00frame/s]

   🔥 1500:  43%|████▎     | 177/408 [00:01<00:02, 88.18frame/s]

   🔥 1500:  46%|████▌     | 187/408 [00:02<00:02, 89.86frame/s]

   🔥 1500:  48%|████▊     | 196/408 [00:02<00:02, 88.86frame/s]

   🔥 1500:  50%|█████     | 205/408 [00:02<00:02, 86.58frame/s]

   🔥 1500:  52%|█████▏    | 214/408 [00:02<00:02, 84.33frame/s]

   🔥 1500:  55%|█████▍    | 223/408 [00:02<00:02, 82.56frame/s]

   🔥 1500:  57%|█████▋    | 232/408 [00:02<00:02, 81.84frame/s]

   🔥 1500:  59%|█████▉    | 241/408 [00:02<00:02, 81.38frame/s]

   🔥 1500:  61%|██████▏   | 250/408 [00:02<00:01, 80.29frame/s]

   🔥 1500:  63%|██████▎   | 259/408 [00:02<00:01, 80.46frame/s]

   🔥 1500:  66%|██████▌   | 268/408 [00:03<00:01, 81.21frame/s]

   🔥 1500:  68%|██████▊   | 277/408 [00:03<00:01, 81.37frame/s]

   🔥 1500:  70%|███████   | 286/408 [00:03<00:01, 81.02frame/s]

   🔥 1500:  72%|███████▏  | 295/408 [00:03<00:01, 80.67frame/s]

   🔥 1500:  75%|███████▍  | 304/408 [00:03<00:01, 80.54frame/s]

   🔥 1500:  77%|███████▋  | 313/408 [00:03<00:01, 80.73frame/s]

   🔥 1500:  79%|███████▉  | 322/408 [00:03<00:01, 80.60frame/s]

   🔥 1500:  81%|████████  | 331/408 [00:03<00:00, 80.85frame/s]

   🔥 1500:  83%|████████▎ | 340/408 [00:03<00:00, 81.77frame/s]

   🔥 1500:  86%|████████▌ | 349/408 [00:04<00:00, 83.69frame/s]

   🔥 1500:  88%|████████▊ | 359/408 [00:04<00:00, 86.95frame/s]

   🔥 1500:  90%|█████████ | 369/408 [00:04<00:00, 89.12frame/s]

   🔥 1500:  93%|█████████▎| 379/408 [00:04<00:00, 90.12frame/s]

   🔥 1500:  95%|█████████▌| 389/408 [00:04<00:00, 90.47frame/s]

   🔥 1500:  98%|█████████▊| 399/408 [00:04<00:00, 91.03frame/s]

                                                                [✅] 1500: /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC053_W024(6)_2026-08-26_bent-wand/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:26<00:00,  6.16s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:26<00:00,  6.65s/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)_2026-08-26_bent-wand/calibration/debug/5_heatmap
[🏁] Finished processing MDC053_W024(6)_2026-08-26_bent-wand


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