2026-08-31T01:25:04 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC053_W024(6)_2026-08-26 ===
2026-08-31T01:25:04 - INFO: Camera ID: 6396150
2026-08-31T01:25:04 - INFO: Wand ID: 
2026-08-31T01:25:04 - INFO: Recorded At: 2026-08-25T23:05:54Z

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

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

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 544 stationary frames, 592 remain


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→ 2000R Phase 2: corners:  96%|█████████▌| 569/592 [00:04<00:00, 162.62it/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:  51%|█████▏    | 304/592 [00:06<00:06, 45.74it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 309/592 [00:06<00:06, 45.91it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 314/592 [00:07<00:06, 46.06it/s]

→ 2000R Phase 3: finalize:  54%|█████▍    | 319/592 [00:07<00:05, 46.23it/s]

→ 2000R Phase 3: finalize:  55%|█████▍    | 324/592 [00:07<00:05, 46.32it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 329/592 [00:07<00:05, 46.35it/s]

→ 2000R Phase 3: finalize:  56%|█████▋    | 334/592 [00:07<00:05, 46.39it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 339/592 [00:07<00:05, 46.55it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 344/592 [00:07<00:05, 46.49it/s]

→ 2000R Phase 3: finalize:  59%|█████▉    | 349/592 [00:07<00:05, 46.46it/s]

→ 2000R Phase 3: finalize:  60%|█████▉    | 354/592 [00:07<00:05, 46.54it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 359/592 [00:08<00:05, 46.59it/s]

→ 2000R Phase 3: finalize:  61%|██████▏   | 364/592 [00:08<00:04, 46.66it/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, 46.66it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 379/592 [00:08<00:04, 46.68it/s]

→ 2000R Phase 3: finalize:  65%|██████▍   | 384/592 [00:08<00:04, 46.78it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 389/592 [00:08<00:04, 46.80it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 394/592 [00:08<00:04, 46.74it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 399/592 [00:08<00:04, 46.63it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 404/592 [00:08<00:04, 46.70it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 409/592 [00:09<00:03, 46.48it/s]

→ 2000R Phase 3: finalize:  70%|██████▉   | 414/592 [00:09<00:03, 46.50it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 419/592 [00:09<00:03, 46.53it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 424/592 [00:09<00:03, 46.65it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 429/592 [00:09<00:03, 46.85it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 434/592 [00:09<00:03, 46.95it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 439/592 [00:09<00:03, 46.98it/s]

→ 2000R Phase 3: finalize:  75%|███████▌  | 444/592 [00:09<00:03, 46.90it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 449/592 [00:09<00:03, 46.81it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 454/592 [00:10<00:02, 46.68it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 459/592 [00:10<00:02, 46.71it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 464/592 [00:10<00:02, 46.56it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 469/592 [00:10<00:02, 45.89it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 474/592 [00:10<00:02, 45.33it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 479/592 [00:10<00:02, 44.88it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 484/592 [00:10<00:02, 44.51it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 489/592 [00:10<00:02, 44.45it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 494/592 [00:10<00:02, 44.39it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 499/592 [00:11<00:02, 44.25it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 504/592 [00:11<00:01, 44.40it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 509/592 [00:11<00:01, 44.56it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 514/592 [00:11<00:01, 44.57it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 519/592 [00:11<00:01, 44.57it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 524/592 [00:11<00:01, 44.55it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 529/592 [00:11<00:01, 44.57it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 534/592 [00:11<00:01, 44.52it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 539/592 [00:11<00:01, 44.52it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 544/592 [00:12<00:01, 44.43it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 549/592 [00:12<00:00, 44.37it/s]

→ 2000R Phase 3: finalize:  94%|█████████▎| 554/592 [00:12<00:00, 44.34it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 559/592 [00:12<00:00, 44.37it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 564/592 [00:12<00:00, 44.49it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 569/592 [00:12<00:00, 44.67it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 574/592 [00:12<00:00, 44.88it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 579/592 [00:12<00:00, 45.07it/s]

→ 2000R Phase 3: finalize:  99%|█████████▊| 584/592 [00:12<00:00, 45.22it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 589/592 [00:13<00:00, 44.85it/s]

                                                                            
[TIMING] 2000R — 592 frames
  Phase 1  radial detect   (parallel)  :   9.05s  (15.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.20s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   1.25s
  Phase 3  finalize        (sequential):  13.13s  (22.2 ms/frame)
    decode + undistort                 :   7.57s  (12.8 ms/frame)
    corner apply + refinement          :   2.49s  (4.2 ms/frame)
    segment                            :   2.38s  (4.0 ms/frame)
    smooth                             :   0.50s  (0.8 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  27.63s


Processing Rigs:  25%|██▌       | 1/4 [00:35<01:46, 35.62s/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<04:24,  1.54it/s]

→ 1500 (408 images) Phase 1:   6%|▋         | 26/408 [00:00<00:08, 46.12it/s]

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→ 1500 (408 images) Phase 1:  23%|██▎       | 94/408 [00:01<00:04, 70.78it/s]

→ 1500 (408 images) Phase 1:  26%|██▌       | 106/408 [00:02<00:05, 57.17it/s]

→ 1500 (408 images) Phase 1:  31%|███       | 126/408 [00:02<00:03, 75.61it/s]

→ 1500 (408 images) Phase 1:  34%|███▍      | 138/408 [00:02<00:04, 60.23it/s]

→ 1500 (408 images) Phase 1:  39%|███▊      | 158/408 [00:02<00:03, 77.26it/s]

→ 1500 (408 images) Phase 1:  41%|████▏     | 169/408 [00:02<00:03, 60.84it/s]

→ 1500 (408 images) Phase 1:  46%|████▌     | 187/408 [00:03<00:02, 78.68it/s]

→ 1500 (408 images) Phase 1:  49%|████▉     | 199/408 [00:03<00:03, 60.48it/s]

→ 1500 (408 images) Phase 1:  53%|█████▎    | 218/408 [00:03<00:02, 78.58it/s]

→ 1500 (408 images) Phase 1:  56%|█████▋    | 230/408 [00:03<00:02, 61.35it/s]

→ 1500 (408 images) Phase 1:  59%|█████▉    | 242/408 [00:03<00:02, 70.06it/s]

→ 1500 (408 images) Phase 1:  63%|██████▎   | 256/408 [00:04<00:01, 82.41it/s]

→ 1500 (408 images) Phase 1:  66%|██████▌   | 268/408 [00:04<00:02, 64.98it/s]

→ 1500 (408 images) Phase 1:  69%|██████▉   | 282/408 [00:04<00:01, 77.03it/s]

→ 1500 (408 images) Phase 1:  72%|███████▏  | 293/408 [00:04<00:01, 59.79it/s]

→ 1500 (408 images) Phase 1:  74%|███████▍  | 302/408 [00:04<00:01, 63.36it/s]

→ 1500 (408 images) Phase 1:  77%|███████▋  | 316/408 [00:04<00:01, 75.92it/s]

→ 1500 (408 images) Phase 1:  80%|███████▉  | 326/408 [00:05<00:01, 55.78it/s]

→ 1500 (408 images) Phase 1:  84%|████████▎ | 341/408 [00:05<00:00, 71.78it/s]

→ 1500 (408 images) Phase 1:  86%|████████▋ | 352/408 [00:05<00:00, 73.09it/s]

→ 1500 (408 images) Phase 1:  89%|████████▊ | 362/408 [00:05<00:00, 60.46it/s]

→ 1500 (408 images) Phase 1:  93%|█████████▎| 380/408 [00:05<00:00, 82.29it/s]

→ 1500 (408 images) Phase 1:  96%|█████████▌| 391/408 [00:06<00:00, 67.08it/s]

→ 1500 (408 images) Phase 1: 100%|██████████| 408/408 [00:06<00:00, 84.71it/s]

                                                                              

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

→ 1500 Phase 2: corners:   0%|          | 1/408 [00:00<01:51,  3.63it/s]

→ 1500 Phase 2: corners:   4%|▍         | 16/408 [00:00<00:07, 52.73it/s]

→ 1500 Phase 2: corners:   7%|▋         | 28/408 [00:00<00:05, 74.15it/s]

→ 1500 Phase 2: corners:  10%|█         | 42/408 [00:00<00:04, 89.60it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 59/408 [00:00<00:03, 110.33it/s]

→ 1500 Phase 2: corners:  18%|█▊        | 72/408 [00:00<00:02, 112.93it/s]

→ 1500 Phase 2: corners:  21%|██        | 86/408 [00:00<00:02, 120.33it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 99/408 [00:01<00:02, 118.43it/s]

→ 1500 Phase 2: corners:  28%|██▊       | 116/408 [00:01<00:02, 130.14it/s]

→ 1500 Phase 2: corners:  33%|███▎      | 133/408 [00:01<00:01, 139.11it/s]

→ 1500 Phase 2: corners:  36%|███▋      | 148/408 [00:01<00:01, 137.94it/s]

→ 1500 Phase 2: corners:  41%|████      | 168/408 [00:01<00:01, 151.90it/s]

→ 1500 Phase 2: corners:  46%|████▌     | 186/408 [00:01<00:01, 156.47it/s]

→ 1500 Phase 2: corners:  50%|████▉     | 202/408 [00:01<00:01, 151.57it/s]

→ 1500 Phase 2: corners:  53%|█████▎    | 218/408 [00:01<00:01, 139.16it/s]

→ 1500 Phase 2: corners:  57%|█████▋    | 233/408 [00:01<00:01, 136.96it/s]

→ 1500 Phase 2: corners:  61%|██████    | 249/408 [00:02<00:01, 142.22it/s]

→ 1500 Phase 2: corners:  65%|██████▌   | 266/408 [00:02<00:00, 147.13it/s]

→ 1500 Phase 2: corners:  69%|██████▉   | 282/408 [00:02<00:00, 149.64it/s]

→ 1500 Phase 2: corners:  73%|███████▎  | 298/408 [00:02<00:00, 147.07it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 315/408 [00:02<00:00, 151.64it/s]

→ 1500 Phase 2: corners:  81%|████████  | 331/408 [00:02<00:00, 119.84it/s]

→ 1500 Phase 2: corners:  86%|████████▌ | 349/408 [00:02<00:00, 133.98it/s]

→ 1500 Phase 2: corners:  89%|████████▉ | 364/408 [00:02<00:00, 136.15it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 380/408 [00:02<00:00, 142.29it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 396/408 [00:03<00:00, 145.98it/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, 46.98it/s]

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→ 1500 Phase 3: finalize:   5%|▍         | 20/408 [00:00<00:08, 45.07it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 25/408 [00:00<00:08, 45.10it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 30/408 [00:00<00:08, 45.09it/s]

→ 1500 Phase 3: finalize:   9%|▊         | 35/408 [00:00<00:08, 45.13it/s]

→ 1500 Phase 3: finalize:  10%|▉         | 40/408 [00:00<00:08, 45.47it/s]

→ 1500 Phase 3: finalize:  11%|█         | 45/408 [00:00<00:07, 45.76it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 50/408 [00:01<00:07, 45.46it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 55/408 [00:01<00:07, 45.14it/s]

→ 1500 Phase 3: finalize:  15%|█▍        | 60/408 [00:01<00:07, 45.09it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 65/408 [00:01<00:07, 45.17it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 70/408 [00:01<00:07, 45.24it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 75/408 [00:01<00:07, 46.04it/s]

→ 1500 Phase 3: finalize:  20%|█▉        | 80/408 [00:01<00:06, 47.11it/s]

→ 1500 Phase 3: finalize:  21%|██        | 85/408 [00:01<00:06, 47.88it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 90/408 [00:01<00:06, 47.63it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 95/408 [00:02<00:06, 47.42it/s]

→ 1500 Phase 3: finalize:  25%|██▍       | 100/408 [00:02<00:06, 46.79it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 105/408 [00:02<00:06, 46.21it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 110/408 [00:02<00:06, 46.89it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 116/408 [00:02<00:05, 49.47it/s]

→ 1500 Phase 3: finalize:  30%|██▉       | 121/408 [00:02<00:05, 49.52it/s]

→ 1500 Phase 3: finalize:  31%|███       | 126/408 [00:02<00:05, 48.48it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 131/408 [00:02<00:05, 47.64it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 136/408 [00:02<00:05, 46.99it/s]

→ 1500 Phase 3: finalize:  35%|███▍      | 141/408 [00:03<00:05, 46.75it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 146/408 [00:03<00:05, 46.49it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 151/408 [00:03<00:05, 46.25it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 156/408 [00:03<00:05, 46.20it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 161/408 [00:03<00:05, 46.13it/s]

→ 1500 Phase 3: finalize:  41%|████      | 166/408 [00:03<00:05, 45.91it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 171/408 [00:03<00:05, 45.88it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 176/408 [00:03<00:05, 46.02it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 181/408 [00:03<00:04, 46.09it/s]

→ 1500 Phase 3: finalize:  46%|████▌     | 186/408 [00:04<00:04, 46.08it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 191/408 [00:04<00:04, 46.21it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 196/408 [00:04<00:04, 46.29it/s]

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→ 1500 Phase 3: finalize:  50%|█████     | 206/408 [00:04<00:04, 46.16it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 211/408 [00:04<00:04, 46.17it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 216/408 [00:04<00:04, 46.20it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 221/408 [00:04<00:04, 46.19it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 226/408 [00:04<00:03, 46.20it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 231/408 [00:04<00:03, 46.24it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 236/408 [00:05<00:03, 46.18it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 241/408 [00:05<00:03, 45.68it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 246/408 [00:05<00:03, 45.85it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 251/408 [00:05<00:03, 45.65it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 256/408 [00:05<00:03, 45.76it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 261/408 [00:05<00:03, 45.11it/s]

→ 1500 Phase 3: finalize:  65%|██████▌   | 266/408 [00:05<00:03, 44.62it/s]

→ 1500 Phase 3: finalize:  66%|██████▋   | 271/408 [00:05<00:03, 45.19it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 276/408 [00:05<00:02, 45.35it/s]

→ 1500 Phase 3: finalize:  69%|██████▉   | 281/408 [00:06<00:02, 45.41it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 286/408 [00:06<00:02, 45.40it/s]

→ 1500 Phase 3: finalize:  71%|███████▏  | 291/408 [00:06<00:02, 45.21it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 296/408 [00:06<00:02, 45.09it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 301/408 [00:06<00:02, 45.07it/s]

→ 1500 Phase 3: finalize:  75%|███████▌  | 306/408 [00:06<00:02, 45.06it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 311/408 [00:06<00:02, 45.19it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 316/408 [00:06<00:02, 45.36it/s]

→ 1500 Phase 3: finalize:  79%|███████▊  | 321/408 [00:06<00:01, 45.45it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 326/408 [00:07<00:01, 45.36it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 331/408 [00:07<00:01, 45.37it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 336/408 [00:07<00:01, 45.56it/s]

→ 1500 Phase 3: finalize:  84%|████████▎ | 341/408 [00:07<00:01, 45.70it/s]

→ 1500 Phase 3: finalize:  85%|████████▍ | 346/408 [00:07<00:01, 45.84it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 351/408 [00:07<00:01, 45.99it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 356/408 [00:07<00:01, 46.11it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 361/408 [00:07<00:01, 46.21it/s]

→ 1500 Phase 3: finalize:  90%|████████▉ | 366/408 [00:07<00:00, 46.22it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 371/408 [00:08<00:00, 46.31it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 376/408 [00:08<00:00, 46.29it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 381/408 [00:08<00:00, 46.02it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 386/408 [00:08<00:00, 45.84it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 391/408 [00:08<00:00, 44.95it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 396/408 [00:08<00:00, 44.75it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 401/408 [00:08<00:00, 44.72it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 406/408 [00:08<00:00, 44.97it/s]

                                                                           
[TIMING] 1500 — 408 frames
  Phase 1  radial detect   (parallel)  :   6.36s  (15.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.22s  (7.9 ms/frame)
  Phase 2b corner fix      (sequential):   2.39s
  Phase 3  finalize        (sequential):   8.88s  (21.8 ms/frame)
    decode + undistort                 :   5.21s  (12.8 ms/frame)
    corner apply + refinement          :   1.57s  (3.8 ms/frame)
    segment                            :   1.58s  (3.9 ms/frame)
    smooth                             :   0.39s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  20.85s


Processing Rigs:  50%|█████     | 2/4 [01:01<00:59, 29.60s/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<03:31,  1.14it/s]

→ 1000 (241 images) Phase 1:   8%|▊         | 20/241 [00:00<00:08, 27.45it/s]

→ 1000 (241 images) Phase 1:  14%|█▎        | 33/241 [00:01<00:06, 32.17it/s]

→ 1000 (241 images) Phase 1:  19%|█▉        | 46/241 [00:01<00:04, 46.19it/s]

→ 1000 (241 images) Phase 1:  27%|██▋       | 65/241 [00:01<00:03, 49.40it/s]

→ 1000 (241 images) Phase 1:  32%|███▏      | 78/241 [00:01<00:02, 60.97it/s]

→ 1000 (241 images) Phase 1:  40%|████      | 97/241 [00:02<00:02, 56.23it/s]

→ 1000 (241 images) Phase 1:  46%|████▋     | 112/241 [00:02<00:01, 69.54it/s]

→ 1000 (241 images) Phase 1:  53%|█████▎    | 127/241 [00:02<00:01, 80.10it/s]

→ 1000 (241 images) Phase 1:  57%|█████▋    | 138/241 [00:02<00:01, 61.42it/s]

→ 1000 (241 images) Phase 1:  65%|██████▌   | 157/241 [00:02<00:01, 81.91it/s]

→ 1000 (241 images) Phase 1:  70%|███████   | 169/241 [00:03<00:01, 60.21it/s]

→ 1000 (241 images) Phase 1:  79%|███████▉  | 190/241 [00:03<00:00, 79.31it/s]

→ 1000 (241 images) Phase 1:  84%|████████▍ | 202/241 [00:03<00:00, 61.91it/s]

→ 1000 (241 images) Phase 1:  92%|█████████▏| 222/241 [00:03<00:00, 82.13it/s]

→ 1000 (241 images) Phase 1:  98%|█████████▊| 235/241 [00:04<00:00, 73.73it/s]

                                                                              

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

→ 1000 Phase 2: corners:   0%|          | 1/241 [00:00<02:10,  1.84it/s]

→ 1000 Phase 2: corners:   6%|▌         | 15/241 [00:00<00:07, 30.23it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 28/241 [00:00<00:04, 52.71it/s]

→ 1000 Phase 2: corners:  20%|█▉        | 47/241 [00:00<00:02, 84.60it/s]

→ 1000 Phase 2: corners:  25%|██▌       | 61/241 [00:00<00:01, 98.17it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 77/241 [00:01<00:01, 111.90it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 91/241 [00:01<00:01, 108.85it/s]

→ 1000 Phase 2: corners:  44%|████▎     | 105/241 [00:01<00:01, 115.89it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 118/241 [00:01<00:01, 113.32it/s]

→ 1000 Phase 2: corners:  55%|█████▌    | 133/241 [00:01<00:00, 122.25it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 150/241 [00:01<00:00, 133.09it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 164/241 [00:01<00:00, 134.22it/s]

→ 1000 Phase 2: corners:  75%|███████▌  | 181/241 [00:01<00:00, 143.51it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 200/241 [00:01<00:00, 154.65it/s]

→ 1000 Phase 2: corners:  91%|█████████▏| 220/241 [00:02<00:00, 165.97it/s]

→ 1000 Phase 2: corners: 100%|██████████| 241/241 [00:02<00:00, 176.25it/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, 49.73it/s]

→ 1000 Phase 3: finalize:   5%|▍         | 11/241 [00:00<00:04, 50.82it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 17/241 [00:00<00:04, 50.62it/s]

→ 1000 Phase 3: finalize:  10%|▉         | 23/241 [00:00<00:04, 51.32it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 29/241 [00:00<00:04, 51.72it/s]

→ 1000 Phase 3: finalize:  15%|█▍        | 35/241 [00:00<00:03, 51.81it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 41/241 [00:00<00:03, 51.65it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 47/241 [00:00<00:03, 51.38it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 53/241 [00:01<00:03, 50.99it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 59/241 [00:01<00:03, 50.69it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 65/241 [00:01<00:03, 50.62it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 71/241 [00:01<00:03, 50.43it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 77/241 [00:01<00:03, 50.49it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 83/241 [00:01<00:03, 50.51it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 89/241 [00:01<00:03, 50.59it/s]

→ 1000 Phase 3: finalize:  39%|███▉      | 95/241 [00:01<00:02, 50.62it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 101/241 [00:01<00:02, 50.58it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 107/241 [00:02<00:02, 50.50it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 113/241 [00:02<00:02, 50.38it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 119/241 [00:02<00:02, 49.04it/s]

→ 1000 Phase 3: finalize:  51%|█████▏    | 124/241 [00:02<00:02, 47.96it/s]

→ 1000 Phase 3: finalize:  54%|█████▎    | 129/241 [00:02<00:02, 47.36it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 134/241 [00:02<00:02, 46.71it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 139/241 [00:02<00:02, 46.60it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 144/241 [00:02<00:02, 46.35it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 149/241 [00:03<00:01, 46.19it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 154/241 [00:03<00:01, 46.29it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 159/241 [00:03<00:01, 46.28it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 164/241 [00:03<00:01, 46.16it/s]

→ 1000 Phase 3: finalize:  70%|███████   | 169/241 [00:03<00:01, 46.33it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 174/241 [00:03<00:01, 46.61it/s]

→ 1000 Phase 3: finalize:  75%|███████▍  | 180/241 [00:03<00:01, 48.11it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 185/241 [00:03<00:01, 48.21it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 190/241 [00:03<00:01, 47.81it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 195/241 [00:03<00:00, 47.78it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 200/241 [00:04<00:00, 47.87it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 205/241 [00:04<00:00, 47.91it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 210/241 [00:04<00:00, 48.00it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 215/241 [00:04<00:00, 48.06it/s]

→ 1000 Phase 3: finalize:  91%|█████████▏| 220/241 [00:04<00:00, 47.99it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 225/241 [00:04<00:00, 47.64it/s]

→ 1000 Phase 3: finalize:  95%|█████████▌| 230/241 [00:04<00:00, 46.97it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 235/241 [00:04<00:00, 46.82it/s]

→ 1000 Phase 3: finalize: 100%|█████████▉| 240/241 [00:04<00:00, 46.74it/s]

                                                                           
[TIMING] 1000 — 241 frames
  Phase 1  radial detect   (parallel)  :   4.20s  (17.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.25s  (9.3 ms/frame)
  Phase 2b corner fix      (sequential):   0.16s
  Phase 3  finalize        (sequential):   4.95s  (20.6 ms/frame)
    decode + undistort                 :   2.87s  (11.9 ms/frame)
    corner apply + refinement          :   0.86s  (3.6 ms/frame)
    segment                            :   0.93s  (3.8 ms/frame)
    smooth                             :   0.22s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  11.56s


Processing Rigs:  75%|███████▌  | 3/4 [01:16<00:23, 23.01s/it][INFO] Filtered 483 stationary frames, 561 remain


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

→ 2000L (561 images) Phase 1:   0%|          | 1/561 [00:00<08:25,  1.11it/s]

→ 2000L (561 images) Phase 1:   1%|          | 6/561 [00:01<01:12,  7.65it/s]

→ 2000L (561 images) Phase 1:   5%|▌         | 30/561 [00:01<00:12, 42.00it/s]

→ 2000L (561 images) Phase 1:   7%|▋         | 39/561 [00:01<00:13, 37.29it/s]

→ 2000L (561 images) Phase 1:  11%|█         | 62/561 [00:01<00:07, 62.85it/s]

→ 2000L (561 images) Phase 1:  13%|█▎        | 72/561 [00:01<00:09, 50.32it/s]

→ 2000L (561 images) Phase 1:  16%|█▋        | 92/561 [00:02<00:06, 71.22it/s]

→ 2000L (561 images) Phase 1:  18%|█▊        | 103/561 [00:02<00:08, 56.08it/s]

→ 2000L (561 images) Phase 1:  22%|██▏       | 123/561 [00:02<00:05, 76.27it/s]

→ 2000L (561 images) Phase 1:  24%|██▍       | 135/561 [00:02<00:07, 58.61it/s]

→ 2000L (561 images) Phase 1:  28%|██▊       | 155/561 [00:02<00:05, 79.16it/s]

→ 2000L (561 images) Phase 1:  30%|██▉       | 167/561 [00:03<00:06, 60.31it/s]

→ 2000L (561 images) Phase 1:  34%|███▎      | 188/561 [00:03<00:04, 80.50it/s]

→ 2000L (561 images) Phase 1:  36%|███▌      | 200/561 [00:03<00:05, 61.81it/s]

→ 2000L (561 images) Phase 1:  39%|███▉      | 220/561 [00:03<00:04, 81.18it/s]

→ 2000L (561 images) Phase 1:  42%|████▏     | 233/561 [00:04<00:05, 63.58it/s]

→ 2000L (561 images) Phase 1:  45%|████▍     | 250/561 [00:04<00:03, 79.21it/s]

→ 2000L (561 images) Phase 1:  47%|████▋     | 262/561 [00:04<00:04, 61.90it/s]

→ 2000L (561 images) Phase 1:  50%|████▉     | 278/561 [00:04<00:03, 75.59it/s]

→ 2000L (561 images) Phase 1:  52%|█████▏    | 289/561 [00:04<00:04, 64.02it/s]

→ 2000L (561 images) Phase 1:  53%|█████▎    | 298/561 [00:05<00:03, 67.89it/s]

→ 2000L (561 images) Phase 1:  56%|█████▌    | 312/561 [00:05<00:03, 81.24it/s]

→ 2000L (561 images) Phase 1:  58%|█████▊    | 323/561 [00:05<00:03, 61.12it/s]

→ 2000L (561 images) Phase 1:  60%|██████    | 339/561 [00:05<00:02, 77.43it/s]

→ 2000L (561 images) Phase 1:  63%|██████▎   | 351/561 [00:05<00:02, 77.35it/s]

→ 2000L (561 images) Phase 1:  64%|██████▍   | 361/561 [00:05<00:03, 64.45it/s]

→ 2000L (561 images) Phase 1:  67%|██████▋   | 377/561 [00:06<00:02, 80.44it/s]

→ 2000L (561 images) Phase 1:  69%|██████▉   | 387/561 [00:06<00:02, 61.52it/s]

→ 2000L (561 images) Phase 1:  71%|███████▏  | 401/561 [00:06<00:02, 74.81it/s]

→ 2000L (561 images) Phase 1:  74%|███████▎  | 413/561 [00:06<00:01, 83.69it/s]

→ 2000L (561 images) Phase 1:  76%|███████▌  | 424/561 [00:06<00:02, 62.01it/s]

→ 2000L (561 images) Phase 1:  78%|███████▊  | 440/561 [00:06<00:01, 79.02it/s]

→ 2000L (561 images) Phase 1:  80%|████████  | 451/561 [00:07<00:01, 61.82it/s]

→ 2000L (561 images) Phase 1:  82%|████████▏ | 460/561 [00:07<00:01, 65.86it/s]

→ 2000L (561 images) Phase 1:  85%|████████▌ | 477/561 [00:07<00:00, 86.18it/s]

→ 2000L (561 images) Phase 1:  87%|████████▋ | 488/561 [00:07<00:01, 60.41it/s]

→ 2000L (561 images) Phase 1:  90%|████████▉ | 504/561 [00:07<00:00, 75.68it/s]

→ 2000L (561 images) Phase 1:  92%|█████████▏| 515/561 [00:08<00:00, 55.79it/s]

→ 2000L (561 images) Phase 1:  93%|█████████▎| 524/561 [00:08<00:00, 60.80it/s]

→ 2000L (561 images) Phase 1:  96%|█████████▋| 541/561 [00:08<00:00, 79.42it/s]

→ 2000L (561 images) Phase 1:  98%|█████████▊| 552/561 [00:08<00:00, 71.39it/s]

                                                                               

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

→ 2000L Phase 2: corners:   0%|          | 1/561 [00:00<05:30,  1.69it/s]

→ 2000L Phase 2: corners:   2%|▏         | 13/561 [00:00<00:22, 24.75it/s]

→ 2000L Phase 2: corners:   5%|▌         | 30/561 [00:00<00:09, 55.57it/s]

→ 2000L Phase 2: corners:   8%|▊         | 45/561 [00:00<00:06, 77.21it/s]

→ 2000L Phase 2: corners:  11%|█         | 62/561 [00:01<00:05, 98.19it/s]

→ 2000L Phase 2: corners:  14%|█▎        | 76/561 [00:01<00:04, 106.66it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 90/561 [00:01<00:04, 111.42it/s]

→ 2000L Phase 2: corners:  20%|█▉        | 110/561 [00:01<00:03, 131.53it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 125/561 [00:01<00:03, 130.54it/s]

→ 2000L Phase 2: corners:  25%|██▍       | 140/561 [00:01<00:03, 125.51it/s]

→ 2000L Phase 2: corners:  27%|██▋       | 154/561 [00:01<00:03, 128.76it/s]

→ 2000L Phase 2: corners:  30%|██▉       | 168/561 [00:01<00:03, 126.58it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 183/561 [00:01<00:02, 132.53it/s]

→ 2000L Phase 2: corners:  35%|███▌      | 199/561 [00:02<00:02, 138.53it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 214/561 [00:02<00:02, 139.43it/s]

→ 2000L Phase 2: corners:  41%|████      | 229/561 [00:02<00:02, 140.08it/s]

→ 2000L Phase 2: corners:  43%|████▎     | 244/561 [00:02<00:02, 137.66it/s]

→ 2000L Phase 2: corners:  46%|████▌     | 259/561 [00:02<00:02, 140.77it/s]

→ 2000L Phase 2: corners:  49%|████▉     | 276/561 [00:02<00:01, 148.68it/s]

→ 2000L Phase 2: corners:  52%|█████▏    | 294/561 [00:02<00:01, 153.44it/s]

→ 2000L Phase 2: corners:  55%|█████▌    | 310/561 [00:02<00:01, 148.83it/s]

→ 2000L Phase 2: corners:  58%|█████▊    | 327/561 [00:02<00:01, 152.92it/s]

→ 2000L Phase 2: corners:  61%|██████    | 343/561 [00:02<00:01, 146.59it/s]

→ 2000L Phase 2: corners:  64%|██████▍   | 359/561 [00:03<00:01, 143.59it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 374/561 [00:03<00:01, 144.85it/s]

→ 2000L Phase 2: corners:  70%|██████▉   | 390/561 [00:03<00:01, 147.11it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 408/561 [00:03<00:00, 154.65it/s]

→ 2000L Phase 2: corners:  76%|███████▌  | 424/561 [00:03<00:00, 149.25it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 439/561 [00:03<00:00, 140.09it/s]

→ 2000L Phase 2: corners:  81%|████████  | 454/561 [00:03<00:00, 138.82it/s]

→ 2000L Phase 2: corners:  83%|████████▎ | 468/561 [00:03<00:00, 136.66it/s]

→ 2000L Phase 2: corners:  86%|████████▋ | 485/561 [00:03<00:00, 145.94it/s]

→ 2000L Phase 2: corners:  89%|████████▉ | 501/561 [00:04<00:00, 149.41it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 517/561 [00:04<00:00, 148.67it/s]

→ 2000L Phase 2: corners:  95%|█████████▍| 532/561 [00:04<00:00, 147.42it/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:  81%|████████  | 455/561 [00:09<00:02, 43.89it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 460/561 [00:09<00:02, 44.03it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 465/561 [00:10<00:02, 44.15it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 470/561 [00:10<00:02, 44.32it/s]

→ 2000L Phase 3: finalize:  85%|████████▍ | 475/561 [00:10<00:01, 44.54it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 480/561 [00:10<00:01, 44.55it/s]

→ 2000L Phase 3: finalize:  86%|████████▋ | 485/561 [00:10<00:01, 44.55it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 490/561 [00:10<00:01, 44.62it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 495/561 [00:10<00:01, 44.69it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 500/561 [00:10<00:01, 44.69it/s]

→ 2000L Phase 3: finalize:  90%|█████████ | 505/561 [00:10<00:01, 44.75it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 510/561 [00:11<00:01, 44.77it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 515/561 [00:11<00:01, 44.80it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 520/561 [00:11<00:00, 44.63it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 525/561 [00:11<00:00, 44.50it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 530/561 [00:11<00:00, 44.48it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 535/561 [00:11<00:00, 44.34it/s]

→ 2000L Phase 3: finalize:  96%|█████████▋| 540/561 [00:11<00:00, 44.27it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 545/561 [00:11<00:00, 44.44it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 550/561 [00:11<00:00, 44.67it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 555/561 [00:12<00:00, 35.06it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 560/561 [00:12<00:00, 37.48it/s]

                                                                            
[TIMING] 2000L — 561 frames
  Phase 1  radial detect   (parallel)  :   8.93s  (15.9 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.49s  (8.0 ms/frame)
  Phase 2b corner fix      (sequential):   1.26s
  Phase 3  finalize        (sequential):  12.33s  (22.0 ms/frame)
    decode + undistort                 :   6.95s  (12.4 ms/frame)
    corner apply + refinement          :   2.47s  (4.4 ms/frame)
    segment                            :   2.25s  (4.0 ms/frame)
    smooth                             :   0.48s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  27.01s


Processing Rigs: 100%|██████████| 4/4 [01:49<00:00, 26.96s/it]
Processing Rigs: 100%|██████████| 4/4 [01:49<00:00, 27.30s/it]
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26/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/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 592
[📋] 1500: 100 frames selected from 408
[📋] 1000: 100 frames selected from 241
[📋] 2000L: 100 frames selected from 561
[💾] Saved RigFrameDataset to /working/MDC053_W024(6)_2026-08-26/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/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<06:21,  4.82s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:43,  1.35s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:12,  1.05it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:05<00:52,  1.43it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:05<00:38,  1.92it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:05<00:23,  3.02it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:05<00:19,  3.60it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:16,  4.16it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:06<00:14,  4.78it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:06<00:11,  5.82it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:06<00:10,  6.10it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:06<00:09,  6.82it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:07<00:09,  6.95it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:08,  7.45it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:07<00:08,  7.36it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:07<00:08,  6.69it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:07<00:07,  7.40it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:07<00:07,  7.63it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:08<00:06,  8.00it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:08<00:06,  8.27it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:08<00:06,  8.45it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:08<00:06,  8.63it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:08<00:06,  8.29it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:08<00:05,  8.48it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:08<00:06,  8.07it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:10<00:23,  2.04it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:10<00:18,  2.44it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:11<00:16,  2.71it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:11<00:14,  2.95it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:11<00:11,  3.65it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:11<00:09,  4.31it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:11<00:08,  4.80it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:11<00:08,  4.74it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:12<00:07,  5.52it/s]
Computing max image from bright frames:  52%|█████▎    | 42/80 [00:12<00:06,  6.23it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:12<00:05,  6.53it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:12<00:05,  7.19it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:12<00:05,  6.90it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:12<00:04,  7.59it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:12<00:04,  6.85it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:12<00:03,  9.22it/s]
Computing max image from bright frames:  62%|██████▎   | 50/80 [00:13<00:03,  8.06it/s]
Computing max image from bright frames:  65%|██████▌   | 52/80 [00:13<00:02, 10.08it/s]
Computing max image from bright frames:  68%|██████▊   | 54/80 [00:13<00:02, 10.41it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:13<00:02,  8.38it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:13<00:02,  9.75it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:14<00:01, 10.74it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:14<00:01,  9.43it/s]
Computing max image from bright frames:  80%|████████  | 64/80 [00:14<00:01, 10.50it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:15<00:02,  4.74it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:15<00:02,  4.99it/s]
Computing max image from bright frames:  85%|████████▌ | 68/80 [00:15<00:02,  5.51it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:15<00:01,  6.88it/s]
Computing max image from bright frames:  89%|████████▉ | 71/80 [00:16<00:01,  5.37it/s]
Computing max image from bright frames:  91%|█████████▏| 73/80 [00:16<00:00,  7.29it/s]
Computing max image from bright frames:  95%|█████████▌| 76/80 [00:16<00:00, 10.82it/s]
Computing max image from bright frames:  99%|█████████▉| 79/80 [00:16<00:00, 13.14it/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} (0.039) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:26,  3.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:26,  3.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:26,  3.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:25,  3.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.87it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.87it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.87it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.44it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.44it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   7%|▋         | 7/100 [00:00<00:06, 14.44it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:06, 14.44it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:06, 14.44it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 363.636} (0.001):  10%|█         | 10/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  10%|█         | 10/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.002 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  14%|█▍        | 14/100 [00:00<00:04, 18.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.77it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.77it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 23.77it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  17%|█▋        | 17/100 [00:00<00:03, 23.77it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 21.74it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 21.74it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.006 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:03, 21.74it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  20%|██        | 20/100 [00:01<00:03, 21.74it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  21%|██        | 21/100 [00:01<00:03, 21.74it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  22%|██▏       | 22/100 [00:01<00:03, 25.10it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.008 | Best: {'fx': 455.556} (0.012):  22%|██▏       | 22/100 [00:01<00:03, 25.10it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:03, 25.10it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:03, 25.10it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  25%|██▌       | 25/100 [00:01<00:02, 25.10it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  26%|██▌       | 26/100 [00:01<00:02, 27.51it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:02, 27.51it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.043 | Best: {'fx': 505.051} (0.043):  27%|██▋       | 27/100 [00:01<00:02, 27.51it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.028 | Best: {'fx': 505.051} (0.043):  28%|██▊       | 28/100 [00:01<00:02, 27.51it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.028 | Best: {'fx': 505.051} (0.043):  29%|██▉       | 29/100 [00:01<00:02, 27.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.036 | Best: {'fx': 505.051} (0.043):  29%|██▉       | 29/100 [00:01<00:02, 27.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.052 | Best: {'fx': 512.121} (0.052):  30%|███       | 30/100 [00:01<00:02, 27.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.065 | Best: {'fx': 519.192} (0.065):  31%|███       | 31/100 [00:01<00:02, 27.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.065 | Best: {'fx': 519.192} (0.065):  32%|███▏      | 32/100 [00:01<00:03, 20.69it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  32%|███▏      | 32/100 [00:01<00:03, 20.69it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.075 | Best: {'fx': 526.263} (0.077):  33%|███▎      | 33/100 [00:01<00:03, 20.69it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.070 | Best: {'fx': 526.263} (0.077):  34%|███▍      | 34/100 [00:01<00:03, 20.69it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.070 | Best: {'fx': 526.263} (0.077):  35%|███▌      | 35/100 [00:01<00:03, 20.20it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.058 | Best: {'fx': 526.263} (0.077):  35%|███▌      | 35/100 [00:01<00:03, 20.20it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.052 | Best: {'fx': 526.263} (0.077):  36%|███▌      | 36/100 [00:01<00:03, 20.20it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.041 | Best: {'fx': 526.263} (0.077):  37%|███▋      | 37/100 [00:01<00:03, 20.20it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.041 | Best: {'fx': 526.263} (0.077):  38%|███▊      | 38/100 [00:01<00:02, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.045 | Best: {'fx': 526.263} (0.077):  38%|███▊      | 38/100 [00:01<00:02, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.031 | Best: {'fx': 526.263} (0.077):  39%|███▉      | 39/100 [00:01<00:02, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.033 | Best: {'fx': 526.263} (0.077):  40%|████      | 40/100 [00:02<00:02, 22.18it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.033 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:02<00:02, 19.72it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.037 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:02<00:02, 19.72it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.030 | Best: {'fx': 526.263} (0.077):  42%|████▏     | 42/100 [00:02<00:02, 19.72it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.039 | Best: {'fx': 526.263} (0.077):  43%|████▎     | 43/100 [00:02<00:02, 19.72it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.039 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  45%|████▌     | 45/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.027 | Best: {'fx': 526.263} (0.077):  46%|████▌     | 46/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.028 | Best: {'fx': 526.263} (0.077):  47%|████▋     | 47/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.034 | Best: {'fx': 526.263} (0.077):  48%|████▊     | 48/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.025 | Best: {'fx': 526.263} (0.077):  49%|████▉     | 49/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  50%|█████     | 50/100 [00:02<00:02, 21.71it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  51%|█████     | 51/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  51%|█████     | 51/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  52%|█████▏    | 52/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  53%|█████▎    | 53/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  54%|█████▍    | 54/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  55%|█████▌    | 55/100 [00:02<00:01, 24.82it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  56%|█████▌    | 56/100 [00:02<00:01, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  56%|█████▌    | 56/100 [00:02<00:01, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  57%|█████▋    | 57/100 [00:02<00:01, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  58%|█████▊    | 58/100 [00:02<00:01, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  59%|█████▉    | 59/100 [00:02<00:01, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  60%|██████    | 60/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  60%|██████    | 60/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  61%|██████    | 61/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  62%|██████▏   | 62/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  63%|██████▎   | 63/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  64%|██████▍   | 64/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  65%|██████▌   | 65/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  66%|██████▌   | 66/100 [00:02<00:01, 30.15it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  67%|██████▋   | 67/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  67%|██████▋   | 67/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  68%|██████▊   | 68/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  69%|██████▉   | 69/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  70%|███████   | 70/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  71%|███████   | 71/100 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  72%|███████▏  | 72/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  72%|███████▏  | 72/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  73%|███████▎  | 73/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  74%|███████▍  | 74/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  75%|███████▌  | 75/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  76%|███████▌  | 76/100 [00:02<00:00, 41.00it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  77%|███████▋  | 77/100 [00:02<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  77%|███████▋  | 77/100 [00:02<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  78%|███████▊  | 78/100 [00:02<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  79%|███████▉  | 79/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  80%|████████  | 80/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  81%|████████  | 81/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  82%|████████▏ | 82/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  82%|████████▏ | 82/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  83%|████████▎ | 83/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  84%|████████▍ | 84/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  85%|████████▌ | 85/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  86%|████████▌ | 86/100 [00:03<00:00, 39.19it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  87%|████████▋ | 87/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  87%|████████▋ | 87/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  88%|████████▊ | 88/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  89%|████████▉ | 89/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  90%|█████████ | 90/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  91%|█████████ | 91/100 [00:03<00:00, 40.99it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  92%|█████████▏| 92/100 [00:03<00:00, 31.52it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  92%|█████████▏| 92/100 [00:03<00:00, 31.52it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  93%|█████████▎| 93/100 [00:03<00:00, 31.52it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  94%|█████████▍| 94/100 [00:03<00:00, 31.52it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  95%|█████████▌| 95/100 [00:03<00:00, 31.52it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  96%|█████████▌| 96/100 [00:03<00:00, 33.13it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  96%|█████████▌| 96/100 [00:03<00:00, 33.13it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  97%|█████████▋| 97/100 [00:03<00:00, 33.13it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  98%|█████████▊| 98/100 [00:03<00:00, 33.13it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  99%|█████████▉| 99/100 [00:03<00:00, 33.13it/s]
Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 526.263} (0.077): 100%|██████████| 100/100 [00:03<00:00, 33.74it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.039 | Best: {'fx': 501.263} (0.039):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.039 | Best: {'fx': 501.263} (0.039):   2%|▏         | 1/50 [00:00<00:27,  1.81it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.041 | Best: {'fx': 502.283} (0.041):   2%|▏         | 1/50 [00:00<00:27,  1.81it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.041 | Best: {'fx': 503.303} (0.041):   4%|▍         | 2/50 [00:00<00:26,  1.81it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.041 | Best: {'fx': 503.303} (0.041):   6%|▌         | 3/50 [00:00<00:08,  5.35it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.043 | Best: {'fx': 504.324} (0.043):   6%|▌         | 3/50 [00:00<00:08,  5.35it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.043 | Best: {'fx': 505.344} (0.043):   8%|▊         | 4/50 [00:00<00:08,  5.35it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.045 | Best: {'fx': 507.385} (0.045):  10%|█         | 5/50 [00:00<00:08,  5.35it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.045 | Best: {'fx': 507.385} (0.045):  12%|█▏        | 6/50 [00:00<00:08,  5.35it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.045 | Best: {'fx': 507.385} (0.045):  14%|█▍        | 7/50 [00:00<00:03, 11.61it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.046 | Best: {'fx': 508.405} (0.046):  14%|█▍        | 7/50 [00:00<00:03, 11.61it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.048 | Best: {'fx': 509.426} (0.048):  16%|█▌        | 8/50 [00:00<00:03, 11.61it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.049 | Best: {'fx': 510.446} (0.049):  18%|█▊        | 9/50 [00:00<00:03, 11.61it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.051 | Best: {'fx': 511.467} (0.051):  20%|██        | 10/50 [00:00<00:03, 11.61it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.051 | Best: {'fx': 511.467} (0.051):  22%|██▏       | 11/50 [00:00<00:02, 17.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.052 | Best: {'fx': 512.487} (0.052):  22%|██▏       | 11/50 [00:00<00:02, 17.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.053 | Best: {'fx': 513.508} (0.053):  24%|██▍       | 12/50 [00:01<00:02, 17.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.054 | Best: {'fx': 514.528} (0.054):  26%|██▌       | 13/50 [00:01<00:02, 17.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.054 | Best: {'fx': 514.528} (0.054):  28%|██▊       | 14/50 [00:01<00:01, 18.69it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.056 | Best: {'fx': 515.548} (0.056):  28%|██▊       | 14/50 [00:01<00:01, 18.69it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.058 | Best: {'fx': 516.569} (0.058):  30%|███       | 15/50 [00:01<00:01, 18.69it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 517.589} (0.061):  32%|███▏      | 16/50 [00:01<00:01, 18.69it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 517.589} (0.061):  34%|███▍      | 17/50 [00:01<00:01, 20.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.064 | Best: {'fx': 518.61} (0.064):  34%|███▍      | 17/50 [00:01<00:01, 20.31it/s] 
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.066 | Best: {'fx': 519.63} (0.066):  36%|███▌      | 18/50 [00:01<00:01, 20.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 521.671} (0.070):  38%|███▊      | 19/50 [00:01<00:01, 20.31it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 521.671} (0.070):  40%|████      | 20/50 [00:01<00:01, 21.03it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 522.691} (0.072):  40%|████      | 20/50 [00:01<00:01, 21.03it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.076 | Best: {'fx': 524.732} (0.076):  42%|████▏     | 21/50 [00:01<00:01, 21.03it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 524.732} (0.076):  44%|████▍     | 22/50 [00:01<00:01, 21.03it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 524.732} (0.076):  46%|████▌     | 23/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 524.732} (0.076):  46%|████▌     | 23/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.076 | Best: {'fx': 533.916} (0.076):  48%|████▊     | 24/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 533.916} (0.076):  50%|█████     | 25/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.073 | Best: {'fx': 533.916} (0.076):  52%|█████▏    | 26/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 526.773} (0.077):  54%|█████▍    | 27/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 525.752} (0.078):  56%|█████▌    | 28/50 [00:01<00:01, 21.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 525.752} (0.078):  58%|█████▊    | 29/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 525.752} (0.078):  58%|█████▊    | 29/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 530.854} (0.078):  60%|██████    | 30/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 530.854} (0.078):  62%|██████▏   | 31/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 530.854} (0.078):  64%|██████▍   | 32/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 530.854} (0.078):  66%|██████▌   | 33/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 527.793} (0.078):  68%|██████▊   | 34/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.080 | Best: {'fx': 529.834} (0.080):  70%|███████   | 35/50 [00:01<00:00, 26.92it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.080 | Best: {'fx': 529.834} (0.080):  72%|███████▏  | 36/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.068 | Best: {'fx': 529.834} (0.080):  72%|███████▏  | 36/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 529.834} (0.080):  74%|███████▍  | 37/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 529.834} (0.080):  76%|███████▌  | 38/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 529.834} (0.080):  78%|███████▊  | 39/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.063 | Best: {'fx': 529.834} (0.080):  80%|████████  | 40/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 529.834} (0.080):  82%|████████▏ | 41/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.065 | Best: {'fx': 529.834} (0.080):  84%|████████▍ | 42/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.062 | Best: {'fx': 529.834} (0.080):  86%|████████▌ | 43/50 [00:01<00:00, 36.46it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.062 | Best: {'fx': 529.834} (0.080):  88%|████████▊ | 44/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 529.834} (0.080):  88%|████████▊ | 44/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 529.834} (0.080):  90%|█████████ | 45/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.080):  92%|█████████▏| 46/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.055 | Best: {'fx': 529.834} (0.080):  94%|█████████▍| 47/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.080):  96%|█████████▌| 48/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.055 | Best: {'fx': 529.834} (0.080):  98%|█████████▊| 49/50 [00:01<00:00, 44.58it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.055 | Best: {'fx': 529.834} (0.080): 100%|██████████| 50/50 [00:01<00:00, 45.59it/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 1 incomplete frames): 79 frames will be used for optimization
  Rigs: 2000R(2000mm):20/20, 1500(1500mm):20/20, 1000(1000mm):20/20, 2000L(2000mm):19/20
  Total: 79/80 frames used for optimization

Initial score: 26.7379: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 26.7379, picklable_objective(x0) = 26.9705

Best score: 26.9705: : 0iter [00:02, ?iter/s] 
Best score: 26.9705: : 1iter [00:02,  2.00s/iter]
Best score: 26.9705: : 1iter [00:02,  2.00s/iter]
Best score: 26.9705: : 2iter [00:02,  2.00s/iter]
Best score: 26.9705: : 3iter [00:02,  1.72iter/s]
Best score: 26.9705: : 3iter [00:02,  1.72iter/s]
Best score: 26.9705: : 4iter [00:02,  1.72iter/s]
Best score: 26.9705: : 5iter [00:02,  3.05iter/s]
Best score: 26.9705: : 5iter [00:02,  3.05iter/s]
Best score: 26.9705: : 6iter [00:02,  3.05iter/s]
Best score: 26.9705: : 7iter [00:02,  4.44iter/s]
Best score: 26.9705: : 7iter [00:02,  4.44iter/s]
Best score: 26.9705: : 8iter [00:02,  4.44iter/s]
Best score: 26.9705: : 9iter [00:02,  5.78iter/s]
Best score: 26.9705: : 9iter [00:02,  5.78iter/s]
Best score: 26.9705: : 10iter [00:02,  5.78iter/s]
Best score: 26.9705: : 11iter [00:02,  6.97iter/s]
Best score: 26.9705: : 11iter [00:02,  6.97iter/s]
Best score: 26.9705: : 12iter [00:03,  6.97iter/s]
Best score: 26.9705: : 13iter [00:03,  8.04iter/s]
Best score: 26.9705: : 13iter [00:03,  8.04iter/s]
Best score: 26.9705: : 14iter [00:03,  8.04iter/s]
Best score: 26.9705: : 15iter [00:03,  8.95iter/s]
Best score: 26.9705: : 15iter [00:03,  8.95iter/s]
Best score: 26.9705: : 16iter [00:03,  8.95iter/s]
Best score: 26.9705: : 17iter [00:03,  9.65iter/s]
Best score: 26.9705: : 17iter [00:03,  9.65iter/s]
Best score: 26.9705: : 18iter [00:03,  9.65iter/s]
Best score: 26.9705: : 19iter [00:03, 10.20iter/s]
Best score: 26.9705: : 19iter [00:03, 10.20iter/s]
Best score: 26.9705: : 20iter [00:03, 10.20iter/s]
Best score: 26.9705: : 21iter [00:03, 10.49iter/s]
Best score: 26.9705: : 21iter [00:03, 10.49iter/s]
Best score: 26.9705: : 22iter [00:03, 10.49iter/s]
Best score: 26.9705: : 23iter [00:03, 10.84iter/s]
Best score: 26.9705: : 23iter [00:03, 10.84iter/s]
Best score: 26.9705: : 24iter [00:04, 10.84iter/s]
Best score: 26.9705: : 25iter [00:04, 11.10iter/s]
Best score: 26.9705: : 25iter [00:04, 11.10iter/s]
Best score: 26.9705: : 26iter [00:04, 11.10iter/s]
Best score: 26.9705: : 27iter [00:04, 11.27iter/s]
Best score: 26.9705: : 27iter [00:04, 11.27iter/s]
Best score: 26.9705: : 28iter [00:04, 11.27iter/s]
Best score: 26.9705: : 29iter [00:04, 11.41iter/s]
Best score: 26.9705: : 29iter [00:04, 11.41iter/s]
Best score: 26.9705: : 30iter [00:04, 11.41iter/s]
Best score: 26.9705: : 31iter [00:04, 11.35iter/s]
Best score: 26.9705: : 31iter [00:04, 11.35iter/s]
Best score: 26.9705: : 32iter [00:04, 11.35iter/s]
Best score: 26.9705: : 33iter [00:04, 11.45iter/s]
Best score: 26.9705: : 33iter [00:04, 11.45iter/s]
Best score: 26.9705: : 34iter [00:04, 11.45iter/s]
Best score: 26.9705: : 35iter [00:04, 11.51iter/s]
Best score: 26.9705: : 35iter [00:05, 11.51iter/s]
Best score: 26.9705: : 36iter [00:05, 11.51iter/s]
Best score: 26.9705: : 37iter [00:05, 11.50iter/s]
Best score: 26.9705: : 37iter [00:05, 11.50iter/s]
Best score: 26.9705: : 38iter [00:05, 11.50iter/s]
Best score: 26.9705: : 39iter [00:05, 11.59iter/s]
Best score: 26.9705: : 39iter [00:05, 11.59iter/s]
Best score: 26.9705: : 40iter [00:05, 11.59iter/s]
Best score: 26.9705: : 41iter [00:05, 11.52iter/s]
Best score: 26.9705: : 41iter [00:05, 11.52iter/s]
Best score: 26.9705: : 42iter [00:05, 11.52iter/s]
Best score: 26.9705: : 43iter [00:05, 11.60iter/s]
Best score: 26.9705: : 43iter [00:05, 11.60iter/s]
Best score: 26.9705: : 44iter [00:05, 11.60iter/s]
Best score: 26.9705: : 45iter [00:05, 11.72iter/s]
Best score: 26.9705: : 45iter [00:05, 11.72iter/s]
Best score: 26.9705: : 46iter [00:05, 11.72iter/s]
Best score: 26.9705: : 47iter [00:05, 11.79iter/s]
Best score: 26.9705: : 47iter [00:06, 11.79iter/s]
Best score: 26.9705: : 48iter [00:06, 11.79iter/s]
Best score: 26.9705: : 49iter [00:06, 11.79iter/s]
[ITER 50] Best: 26.9705
[PARAMS] Current best parameters:
  fx: 529.8341
  fy: 529.8341
  px: 1034.0000
  py: 764.0000
  k1: 0.00000000
  k2: -0.00000000
  k3: 0.00000000
  k4: 0.00000000
  p1: 0.00000000
  p2: 0.00000000
  p3: 0.00000000
  p4: 0.00000000
  s1: 0.0000
  s2: 0.0000
  s3: 0.0000
  s4: 0.0000
  tilt_x: 0.0000
  tilt_y: 0.0000
  scale: 3.0000
  rotation: 0.0000

Best score: 26.9705: : 49iter [00:06, 11.79iter/s]
Best score: 26.9705: : 50iter [00:06, 11.79iter/s]
Best score: 26.9705: : 51iter [00:06, 11.68iter/s]
Best score: 26.9705: : 51iter [00:06, 11.68iter/s]
Best score: 26.9705: : 52iter [00:06, 11.68iter/s]
Best score: 26.9705: : 53iter [00:06, 11.73iter/s]
Best score: 26.9705: : 53iter [00:06, 11.73iter/s]
Best score: 26.9705: : 54iter [00:06, 11.73iter/s]
Best score: 26.9705: : 55iter [00:06, 11.81iter/s]
Best score: 26.9705: : 55iter [00:06, 11.81iter/s]
Best score: 26.9705: : 56iter [00:06, 11.81iter/s]
Best score: 26.9705: : 57iter [00:06, 11.81iter/s]
Best score: 26.9705: : 57iter [00:06, 11.81iter/s]
Best score: 26.9705: : 58iter [00:06, 11.81iter/s]
Best score: 26.9705: : 59iter [00:06, 11.83iter/s]
Best score: 10.3672: : 59iter [00:07, 11.83iter/s]
Best score: 10.3672: : 60iter [00:07, 11.83iter/s]
Best score: 10.3672: : 61iter [00:07, 11.67iter/s]
Best score: 10.3672: : 61iter [00:07, 11.67iter/s]
Best score: 10.3672: : 62iter [00:07, 11.67iter/s]
Best score: 10.3672: : 63iter [00:07, 11.74iter/s]
Best score: 10.3672: : 63iter [00:07, 11.74iter/s]
Best score: 10.3672: : 64iter [00:07, 11.74iter/s]
Best score: 10.3672: : 65iter [00:07, 11.78iter/s]
Best score: 10.3672: : 65iter [00:07, 11.78iter/s]
Best score: 10.3672: : 66iter [00:07, 11.78iter/s]
Best score: 10.3672: : 67iter [00:07, 11.77iter/s]
Best score: 10.3672: : 67iter [00:07, 11.77iter/s]
Best score: 10.3672: : 68iter [00:07, 11.77iter/s]
Best score: 10.3672: : 69iter [00:07, 11.82iter/s]
Best score: 10.3672: : 69iter [00:07, 11.82iter/s]
Best score: 10.3672: : 70iter [00:08, 11.82iter/s]
Best score: 10.3672: : 71iter [00:08, 11.62iter/s]
Best score: 10.3672: : 71iter [00:08, 11.62iter/s]
Best score: 10.3672: : 72iter [00:08, 11.62iter/s]
Best score: 10.3672: : 73iter [00:08, 11.74iter/s]
Best score: 10.3672: : 73iter [00:08, 11.74iter/s]
Best score: 10.3672: : 74iter [00:08, 11.74iter/s]
Best score: 10.3672: : 75iter [00:08, 11.82iter/s]
Best score: 10.3672: : 75iter [00:08, 11.82iter/s]
Best score: 10.3672: : 76iter [00:08, 11.82iter/s]
Best score: 10.3672: : 77iter [00:08, 11.84iter/s]
Best score: 10.3672: : 77iter [00:08, 11.84iter/s]
Best score: 10.3672: : 78iter [00:08, 11.84iter/s]
Best score: 10.3672: : 79iter [00:08, 11.84iter/s]
Best score: 7.1199: : 79iter [00:08, 11.84iter/s] 
Best score: 7.1199: : 80iter [00:08, 11.84iter/s]
Best score: 7.1199: : 81iter [00:08, 11.64iter/s]
Best score: 7.1199: : 81iter [00:08, 11.64iter/s]
Best score: 7.1199: : 82iter [00:09, 11.64iter/s]
Best score: 7.1199: : 83iter [00:09, 11.76iter/s]
Best score: 7.1199: : 83iter [00:09, 11.76iter/s]
Best score: 7.1199: : 84iter [00:09, 11.76iter/s]
Best score: 7.1199: : 85iter [00:09, 11.78iter/s]
Best score: 7.1199: : 85iter [00:09, 11.78iter/s]
Best score: 7.1199: : 86iter [00:09, 11.78iter/s]
Best score: 7.1199: : 87iter [00:09, 11.82iter/s]
Best score: 7.1199: : 87iter [00:09, 11.82iter/s]
Best score: 7.1199: : 88iter [00:09, 11.82iter/s]
Best score: 7.1199: : 89iter [00:09, 11.88iter/s]
Best score: 5.7291: : 89iter [00:09, 11.88iter/s]
Best score: 5.7291: : 90iter [00:09, 11.88iter/s]
Best score: 5.7291: : 91iter [00:09, 11.66iter/s]
Best score: 5.7291: : 91iter [00:09, 11.66iter/s]
Best score: 5.7291: : 92iter [00:09, 11.66iter/s]
Best score: 5.7291: : 93iter [00:09, 11.75iter/s]
Best score: 5.7291: : 93iter [00:09, 11.75iter/s]
Best score: 5.7291: : 94iter [00:10, 11.75iter/s]
Best score: 5.7291: : 95iter [00:10, 11.85iter/s]
Best score: 5.7291: : 95iter [00:10, 11.85iter/s]
Best score: 5.7291: : 96iter [00:10, 11.85iter/s]
Best score: 5.7291: : 97iter [00:10, 11.90iter/s]
Best score: 5.7291: : 97iter [00:10, 11.90iter/s]
Best score: 5.7291: : 98iter [00:10, 11.90iter/s]
Best score: 5.7291: : 99iter [00:10, 11.94iter/s]
[ITER 100] Best: 3.6970
[PARAMS] Current best parameters:
  fx: 586.3458
  fy: 589.3045
  px: 1046.4094
  py: 772.9658
  k1: -0.02432693
  k2: -0.05863595
  k3: 0.03760608
  k4: -0.00669663
  p1: 0.00664439
  p2: 0.02196525
  p3: -0.00759681
  p4: 0.00052208
  s1: -0.0110
  s2: -0.0018
  s3: 0.0254
  s4: -0.0139
  tilt_x: -0.0214
  tilt_y: -0.0366
  scale: 2.9739
  rotation: -0.0921

Best score: 3.6970: : 99iter [00:10, 11.94iter/s]
Best score: 3.6970: : 100iter [00:10, 11.94iter/s]
Best score: 3.6970: : 101iter [00:10, 10.14iter/s]
Best score: 3.6970: : 101iter [00:10, 10.14iter/s]
Best score: 3.6970: : 102iter [00:10, 10.14iter/s]
Best score: 3.6970: : 103iter [00:10, 10.58iter/s]
Best score: 3.6970: : 103iter [00:10, 10.58iter/s]
Best score: 3.6970: : 104iter [00:10, 10.58iter/s]
Best score: 3.6970: : 105iter [00:10, 10.91iter/s]
Best score: 3.6970: : 105iter [00:11, 10.91iter/s]
Best score: 3.6970: : 106iter [00:11, 10.91iter/s]
Best score: 3.6970: : 107iter [00:11, 11.14iter/s]
Best score: 3.6970: : 107iter [00:11, 11.14iter/s]
Best score: 3.6970: : 108iter [00:11, 11.14iter/s]
Best score: 3.6970: : 109iter [00:11, 11.32iter/s]
Best score: 3.6970: : 109iter [00:11, 11.32iter/s]
Best score: 3.6970: : 110iter [00:11, 11.32iter/s]
Best score: 3.6970: : 111iter [00:11, 11.30iter/s]
Best score: 3.6970: : 111iter [00:11, 11.30iter/s]
Best score: 3.6970: : 112iter [00:11, 11.30iter/s]
Best score: 3.6970: : 113iter [00:11, 11.45iter/s]
Best score: 3.6970: : 113iter [00:11, 11.45iter/s]
Best score: 3.6970: : 114iter [00:11, 11.45iter/s]
Best score: 3.6970: : 115iter [00:11, 11.51iter/s]
Best score: 3.6970: : 115iter [00:11, 11.51iter/s]
Best score: 3.6970: : 116iter [00:12, 11.51iter/s]
Best score: 3.6970: : 117iter [00:12, 11.60iter/s]
Best score: 3.6970: : 117iter [00:12, 11.60iter/s]
Best score: 3.6970: : 118iter [00:12, 11.60iter/s]
Best score: 3.6970: : 119iter [00:12, 11.65iter/s]
Best score: 3.6970: : 119iter [00:12, 11.65iter/s]
Best score: 3.6970: : 120iter [00:12, 11.65iter/s]
Best score: 3.6970: : 121iter [00:12, 11.48iter/s]
Best score: 3.6970: : 121iter [00:12, 11.48iter/s]
Best score: 3.6970: : 122iter [00:12, 11.48iter/s]
Best score: 3.6970: : 123iter [00:12, 11.54iter/s]
Best score: 3.6970: : 123iter [00:12, 11.54iter/s]
Best score: 3.6970: : 124iter [00:12, 11.54iter/s]
Best score: 3.6970: : 125iter [00:12, 11.64iter/s]
Best score: 3.6970: : 125iter [00:12, 11.64iter/s]
Best score: 3.6970: : 126iter [00:12, 11.64iter/s]
Best score: 3.6970: : 127iter [00:12, 11.61iter/s]
Best score: 3.6970: : 127iter [00:12, 11.61iter/s]
Best score: 3.6970: : 128iter [00:13, 11.61iter/s]
Best score: 3.6970: : 129iter [00:13, 11.69iter/s]
Best score: 3.6970: : 129iter [00:13, 11.69iter/s]
Best score: 3.6970: : 130iter [00:13, 11.69iter/s]
Best score: 3.6970: : 131iter [00:13, 11.55iter/s]
Best score: 3.6970: : 131iter [00:13, 11.55iter/s]
Best score: 3.6970: : 132iter [00:13, 11.55iter/s]
Best score: 3.6970: : 133iter [00:13, 11.64iter/s]
Best score: 3.6970: : 133iter [00:13, 11.64iter/s]
Best score: 3.6970: : 134iter [00:13, 11.64iter/s]
Best score: 3.6970: : 135iter [00:13, 11.64iter/s]
Best score: 3.6970: : 135iter [00:13, 11.64iter/s]
Best score: 3.6970: : 136iter [00:13, 11.64iter/s]
Best score: 3.6970: : 137iter [00:13, 11.70iter/s]
Best score: 3.6970: : 137iter [00:13, 11.70iter/s]
Best score: 3.6970: : 138iter [00:13, 11.70iter/s]
Best score: 3.6970: : 139iter [00:13, 11.75iter/s]
Best score: 3.6970: : 139iter [00:13, 11.75iter/s]
Best score: 3.6970: : 140iter [00:14, 11.75iter/s]
Best score: 3.6970: : 141iter [00:14, 11.56iter/s]
Best score: 3.6970: : 141iter [00:14, 11.56iter/s]
Best score: 3.6970: : 142iter [00:14, 11.56iter/s]
Best score: 3.6970: : 143iter [00:14, 11.63iter/s]
Best score: 3.6970: : 143iter [00:14, 11.63iter/s]
Best score: 3.6970: : 144iter [00:14, 11.63iter/s]
Best score: 3.6970: : 145iter [00:14, 11.76iter/s]
Best score: 3.6970: : 145iter [00:14, 11.76iter/s]
Best score: 3.6970: : 146iter [00:14, 11.76iter/s]
Best score: 3.6970: : 147iter [00:14, 11.83iter/s]
Best score: 3.6970: : 147iter [00:14, 11.83iter/s]
Best score: 3.6970: : 148iter [00:14, 11.83iter/s]
Best score: 3.6970: : 149iter [00:14, 11.86iter/s]
[ITER 150] Best: 3.6970
[PARAMS] Current best parameters:
  fx: 586.3458
  fy: 589.3045
  px: 1046.4094
  py: 772.9658
  k1: -0.02432693
  k2: -0.05863595
  k3: 0.03760608
  k4: -0.00669663
  p1: 0.00664439
  p2: 0.02196525
  p3: -0.00759681
  p4: 0.00052208
  s1: -0.0110
  s2: -0.0018
  s3: 0.0254
  s4: -0.0139
  tilt_x: -0.0214
  tilt_y: -0.0366
  scale: 2.9739
  rotation: -0.0921

Best score: 3.6970: : 149iter [00:14, 11.86iter/s]
Best score: 3.6970: : 150iter [00:15, 11.86iter/s]
Best score: 3.6970: : 151iter [00:15,  7.64iter/s]
Best score: 3.6970: : 151iter [00:15,  7.64iter/s]
Best score: 3.6970: : 152iter [00:15,  7.64iter/s]
Best score: 3.6970: : 153iter [00:15,  8.58iter/s]
Best score: 3.6970: : 153iter [00:15,  8.58iter/s]
Best score: 3.6970: : 154iter [00:15,  8.58iter/s]
Best score: 3.6970: : 155iter [00:15,  9.38iter/s]
Best score: 3.6970: : 155iter [00:15,  9.38iter/s]
Best score: 3.6970: : 156iter [00:15,  9.38iter/s]
Best score: 3.6970: : 157iter [00:15, 10.03iter/s]
Best score: 3.6970: : 157iter [00:15, 10.03iter/s]
Best score: 3.6970: : 158iter [00:15, 10.03iter/s]
Best score: 3.6970: : 159iter [00:15, 10.57iter/s]
Best score: 3.6970: : 159iter [00:15, 10.57iter/s]
Best score: 3.6970: : 160iter [00:16, 10.57iter/s]
Best score: 3.6970: : 161iter [00:16, 10.82iter/s]
Best score: 3.6970: : 161iter [00:16, 10.82iter/s]
Best score: 3.6970: : 162iter [00:16, 10.82iter/s]
Best score: 3.6970: : 163iter [00:16, 11.14iter/s]
Best score: 3.6970: : 163iter [00:16, 11.14iter/s]
Best score: 3.6970: : 164iter [00:16, 11.14iter/s]
Best score: 3.6970: : 165iter [00:16, 11.40iter/s]
Best score: 3.6970: : 165iter [00:16, 11.40iter/s]
Best score: 3.6970: : 166iter [00:16, 11.40iter/s]
Best score: 3.6970: : 167iter [00:16, 11.61iter/s]
Best score: 3.6970: : 167iter [00:16, 11.61iter/s]
Best score: 3.6970: : 168iter [00:16, 11.61iter/s]
Best score: 3.6970: : 169iter [00:16, 11.75iter/s]
Best score: 3.6970: : 169iter [00:16, 11.75iter/s]
Best score: 3.6970: : 170iter [00:16, 11.75iter/s]
Best score: 3.6970: : 171iter [00:16, 11.64iter/s]
Best score: 3.6970: : 171iter [00:16, 11.64iter/s]
Best score: 3.6970: : 172iter [00:17, 11.64iter/s]
Best score: 3.6970: : 173iter [00:17, 11.77iter/s]
Best score: 3.6970: : 173iter [00:17, 11.77iter/s]
Best score: 3.6970: : 174iter [00:17, 11.77iter/s]
Best score: 3.6970: : 175iter [00:17, 11.87iter/s]
Best score: 3.6970: : 175iter [00:17, 11.87iter/s]
Best score: 3.6970: : 176iter [00:17, 11.87iter/s]
Best score: 3.6970: : 177iter [00:17, 11.95iter/s]
Best score: 3.6970: : 177iter [00:17, 11.95iter/s]
Best score: 3.6970: : 178iter [00:17, 11.95iter/s]
Best score: 3.6970: : 179iter [00:17, 12.00iter/s]
Best score: 3.6970: : 179iter [00:17, 12.00iter/s]
Best score: 3.6970: : 180iter [00:17, 12.00iter/s]
Best score: 3.6970: : 181iter [00:17, 11.77iter/s]
Best score: 3.6970: : 181iter [00:17, 11.77iter/s]
Best score: 3.6970: : 182iter [00:17, 11.77iter/s]
Best score: 3.6970: : 183iter [00:17, 11.83iter/s]
Best score: 3.6970: : 183iter [00:17, 11.83iter/s]
Best score: 3.6970: : 184iter [00:18, 11.83iter/s]
Best score: 3.6970: : 185iter [00:18, 11.87iter/s]
Best score: 3.6970: : 185iter [00:18, 11.87iter/s]
Best score: 3.6970: : 186iter [00:18, 11.87iter/s]
Best score: 3.6970: : 187iter [00:18, 11.93iter/s]
Best score: 3.6970: : 187iter [00:18, 11.93iter/s]
Best score: 3.6970: : 188iter [00:18, 11.93iter/s]
Best score: 3.6970: : 189iter [00:18, 11.94iter/s]
Best score: 3.6970: : 189iter [00:18, 11.94iter/s]
Best score: 3.6970: : 190iter [00:18, 11.94iter/s]
Best score: 3.6970: : 191iter [00:18, 11.72iter/s]
Best score: 3.6970: : 191iter [00:18, 11.72iter/s]
Best score: 3.6970: : 192iter [00:18, 11.72iter/s]
Best score: 3.6970: : 193iter [00:18, 11.84iter/s]
Best score: 3.6970: : 193iter [00:18, 11.84iter/s]
Best score: 3.6970: : 194iter [00:18, 11.84iter/s]
Best score: 3.6970: : 195iter [00:18, 11.79iter/s]
Best score: 3.6970: : 195iter [00:19, 11.79iter/s]
Best score: 3.6970: : 196iter [00:19, 11.79iter/s]
Best score: 3.6970: : 197iter [00:19, 11.89iter/s]
Best score: 3.6970: : 197iter [00:19, 11.89iter/s]
Best score: 3.6970: : 198iter [00:19, 11.89iter/s]
Best score: 3.6970: : 199iter [00:19, 11.91iter/s]
[ITER 200] Best: 3.2717
[PARAMS] Current best parameters:
  fx: 601.3210
  fy: 600.3193
  px: 1045.2333
  py: 772.5189
  k1: -0.08982569
  k2: 0.01788292
  k3: 0.00233364
  k4: -0.00145132
  p1: 0.00361885
  p2: 0.02109847
  p3: -0.01834281
  p4: 0.00676020
  s1: 0.0076
  s2: -0.0031
  s3: 0.0158
  s4: -0.0169
  tilt_x: 0.0017
  tilt_y: -0.0240
  scale: 3.0338
  rotation: -0.2136

Best score: 3.2717: : 199iter [00:19, 11.91iter/s]
Best score: 3.2717: : 200iter [00:19, 11.91iter/s]
Best score: 3.2717: : 201iter [00:19,  7.66iter/s]
Best score: 3.2717: : 201iter [00:19,  7.66iter/s]
Best score: 3.2717: : 202iter [00:19,  7.66iter/s]
Best score: 3.2717: : 203iter [00:19,  8.56iter/s]
Best score: 3.2717: : 203iter [00:19,  8.56iter/s]
Best score: 3.2717: : 204iter [00:20,  8.56iter/s]
Best score: 3.2717: : 205iter [00:20,  9.36iter/s]
Best score: 3.2717: : 205iter [00:20,  9.36iter/s]
Best score: 3.2717: : 206iter [00:20,  9.36iter/s]
Best score: 3.2717: : 207iter [00:20, 10.01iter/s]
Best score: 3.2717: : 207iter [00:20, 10.01iter/s]
Best score: 3.2717: : 208iter [00:20, 10.01iter/s]
Best score: 3.2717: : 209iter [00:20, 10.53iter/s]
Best score: 2.8777: : 209iter [00:20, 10.53iter/s]
Best score: 2.8777: : 210iter [00:20, 10.53iter/s]
Best score: 2.8777: : 211iter [00:20, 10.74iter/s]
Best score: 2.8777: : 211iter [00:20, 10.74iter/s]
Best score: 2.8777: : 212iter [00:20, 10.74iter/s]
Best score: 2.8777: : 213iter [00:20, 11.09iter/s]
Best score: 2.8777: : 213iter [00:20, 11.09iter/s]
Best score: 2.8777: : 214iter [00:20, 11.09iter/s]
Best score: 2.8777: : 215iter [00:20, 11.30iter/s]
Best score: 2.8777: : 215iter [00:20, 11.30iter/s]
Best score: 2.8777: : 216iter [00:21, 11.30iter/s]
Best score: 2.8777: : 217iter [00:21, 11.44iter/s]
Best score: 2.8777: : 217iter [00:21, 11.44iter/s]
Best score: 2.8777: : 218iter [00:21, 11.44iter/s]
Best score: 2.8777: : 219iter [00:21, 11.56iter/s]
Best score: 2.7309: : 219iter [00:21, 11.56iter/s]
Best score: 2.7309: : 220iter [00:21, 11.56iter/s]
Best score: 2.7309: : 221iter [00:21, 11.52iter/s]
Best score: 2.7309: : 221iter [00:21, 11.52iter/s]
Best score: 2.7309: : 222iter [00:21, 11.52iter/s]
Best score: 2.7309: : 223iter [00:21, 11.65iter/s]
Best score: 2.7309: : 223iter [00:21, 11.65iter/s]
Best score: 2.7309: : 224iter [00:21, 11.65iter/s]
Best score: 2.7309: : 225iter [00:21, 11.76iter/s]
Best score: 2.7309: : 225iter [00:21, 11.76iter/s]
Best score: 2.7309: : 226iter [00:21, 11.76iter/s]
Best score: 2.7309: : 227iter [00:21, 11.82iter/s]
Best score: 2.7309: : 227iter [00:22, 11.82iter/s]
Best score: 2.7309: : 228iter [00:22, 11.82iter/s]
Best score: 2.7309: : 229iter [00:22, 11.85iter/s]
Best score: 2.1234: : 229iter [00:22, 11.85iter/s]
Best score: 2.1234: : 230iter [00:22, 11.85iter/s]
Best score: 2.1234: : 231iter [00:22, 11.65iter/s]
Best score: 2.1234: : 231iter [00:22, 11.65iter/s]
Best score: 2.1234: : 232iter [00:22, 11.65iter/s]
Best score: 2.1234: : 233iter [00:22, 11.76iter/s]
Best score: 2.1234: : 233iter [00:22, 11.76iter/s]
Best score: 2.1234: : 234iter [00:22, 11.76iter/s]
Best score: 2.1234: : 235iter [00:22, 11.79iter/s]
Best score: 2.1234: : 235iter [00:22, 11.79iter/s]
Best score: 2.1234: : 236iter [00:22, 11.79iter/s]
Best score: 2.1234: : 237iter [00:22, 11.78iter/s]
Best score: 2.1234: : 237iter [00:22, 11.78iter/s]
Best score: 2.1234: : 238iter [00:22, 11.78iter/s]
Best score: 2.1234: : 239iter [00:22, 11.79iter/s]
Best score: 2.1234: : 239iter [00:23, 11.79iter/s]
Best score: 2.1234: : 240iter [00:23, 11.79iter/s]
Best score: 2.1234: : 241iter [00:23, 11.65iter/s]
Best score: 2.1234: : 241iter [00:23, 11.65iter/s]
Best score: 2.1234: : 242iter [00:23, 11.65iter/s]
Best score: 2.1234: : 243iter [00:23, 11.68iter/s]
Best score: 2.1234: : 243iter [00:23, 11.68iter/s]
Best score: 2.1234: : 244iter [00:23, 11.68iter/s]
Best score: 2.1234: : 245iter [00:23, 11.74iter/s]
Best score: 2.1234: : 245iter [00:23, 11.74iter/s]
Best score: 2.1234: : 246iter [00:23, 11.74iter/s]
Best score: 2.1234: : 247iter [00:23, 11.82iter/s]
Best score: 2.1234: : 247iter [00:23, 11.82iter/s]
Best score: 2.1234: : 248iter [00:23, 11.82iter/s]
Best score: 2.1234: : 249iter [00:23, 11.90iter/s]
[ITER 250] Best: 1.1893
[PARAMS] Current best parameters:
  fx: 609.3749
  fy: 607.8354
  px: 1047.2295
  py: 772.8918
  k1: -0.10155669
  k2: 0.02162697
  k3: 0.00536627
  k4: -0.00289747
  p1: 0.00445271
  p2: 0.01810186
  p3: -0.00936583
  p4: 0.00074183
  s1: 0.0069
  s2: -0.0107
  s3: 0.0308
  s4: -0.0164
  tilt_x: -0.0149
  tilt_y: -0.0520
  scale: 3.0134
  rotation: -0.2799

Best score: 1.1893: : 249iter [00:23, 11.90iter/s]
Best score: 1.1893: : 250iter [00:24, 11.90iter/s]
Best score: 1.1893: : 251iter [00:24,  7.67iter/s]
Best score: 1.1893: : 251iter [00:24,  7.67iter/s]
Best score: 1.1893: : 252iter [00:24,  7.67iter/s]
Best score: 1.1893: : 253iter [00:24,  8.60iter/s]
Best score: 1.1893: : 253iter [00:24,  8.60iter/s]
Best score: 1.1893: : 254iter [00:24,  8.60iter/s]
Best score: 1.1893: : 255iter [00:24,  9.36iter/s]
Best score: 1.1893: : 255iter [00:24,  9.36iter/s]
Best score: 1.1893: : 256iter [00:24,  9.36iter/s]
Best score: 1.1893: : 257iter [00:24, 10.04iter/s]
Best score: 1.1893: : 257iter [00:24, 10.04iter/s]
Best score: 1.1893: : 258iter [00:24, 10.04iter/s]
Best score: 1.1893: : 259iter [00:24, 10.57iter/s]
Best score: 1.0299: : 259iter [00:25, 10.57iter/s]
Best score: 1.0299: : 260iter [00:25, 10.57iter/s]
Best score: 1.0299: : 261iter [00:25, 10.78iter/s]
Best score: 1.0299: : 261iter [00:25, 10.78iter/s]
Best score: 1.0299: : 262iter [00:25, 10.78iter/s]
Best score: 1.0299: : 263iter [00:25, 11.09iter/s]
Best score: 1.0299: : 263iter [00:25, 11.09iter/s]
Best score: 1.0299: : 264iter [00:25, 11.09iter/s]
Best score: 1.0299: : 265iter [00:25, 11.34iter/s]
Best score: 1.0299: : 265iter [00:25, 11.34iter/s]
Best score: 1.0299: : 266iter [00:25, 11.34iter/s]
Best score: 1.0299: : 267iter [00:25, 11.54iter/s]
Best score: 1.0299: : 267iter [00:25, 11.54iter/s]
Best score: 1.0299: : 268iter [00:25, 11.54iter/s]
Best score: 1.0299: : 269iter [00:25, 11.69iter/s]
Best score: 0.7921: : 269iter [00:25, 11.69iter/s]
Best score: 0.7921: : 270iter [00:25, 11.69iter/s]
Best score: 0.7921: : 271iter [00:25, 11.58iter/s]
Best score: 0.7921: : 271iter [00:26, 11.58iter/s]
Best score: 0.7921: : 272iter [00:26, 11.58iter/s]
Best score: 0.7921: : 273iter [00:26, 11.72iter/s]
Best score: 0.7921: : 273iter [00:26, 11.72iter/s]
Best score: 0.7921: : 274iter [00:26, 11.72iter/s]
Best score: 0.7921: : 275iter [00:26, 11.81iter/s]
Best score: 0.7921: : 275iter [00:26, 11.81iter/s]
Best score: 0.7921: : 276iter [00:26, 11.81iter/s]
Best score: 0.7921: : 277iter [00:26, 11.90iter/s]
Best score: 0.7921: : 277iter [00:26, 11.90iter/s]
Best score: 0.7921: : 278iter [00:26, 11.90iter/s]
Best score: 0.7921: : 279iter [00:26, 11.93iter/s]
Best score: 0.7192: : 279iter [00:26, 11.93iter/s]
Best score: 0.7192: : 280iter [00:26, 11.93iter/s]
Best score: 0.7192: : 281iter [00:26, 11.76iter/s]
Best score: 0.7192: : 281iter [00:26, 11.76iter/s]
Best score: 0.7192: : 282iter [00:26, 11.76iter/s]
Best score: 0.7192: : 283iter [00:26, 11.79iter/s]
Best score: 0.7192: : 283iter [00:27, 11.79iter/s]
Best score: 0.7192: : 284iter [00:27, 11.79iter/s]
Best score: 0.7192: : 285iter [00:27, 11.85iter/s]
Best score: 0.7192: : 285iter [00:27, 11.85iter/s]
Best score: 0.7192: : 286iter [00:27, 11.85iter/s]
Best score: 0.7192: : 287iter [00:27, 11.87iter/s]
Best score: 0.7192: : 287iter [00:27, 11.87iter/s]
Best score: 0.7192: : 288iter [00:27, 11.87iter/s]
Best score: 0.7192: : 289iter [00:27, 11.92iter/s]
Best score: 0.5318: : 289iter [00:27, 11.92iter/s]
Best score: 0.5318: : 290iter [00:27, 11.92iter/s]
Best score: 0.5318: : 291iter [00:27, 11.76iter/s]
Best score: 0.5318: : 291iter [00:27, 11.76iter/s]
Best score: 0.5318: : 292iter [00:27, 11.76iter/s]
Best score: 0.5318: : 293iter [00:27, 11.80iter/s]
Best score: 0.5318: : 293iter [00:27, 11.80iter/s]
Best score: 0.5318: : 294iter [00:27, 11.80iter/s]
Best score: 0.5318: : 295iter [00:27, 11.80iter/s]
Best score: 0.5318: : 295iter [00:28, 11.80iter/s]
Best score: 0.5318: : 296iter [00:28, 11.80iter/s]
Best score: 0.5318: : 297iter [00:28, 11.78iter/s]
Best score: 0.5318: : 297iter [00:28, 11.78iter/s]
Best score: 0.5318: : 298iter [00:28, 11.78iter/s]
Best score: 0.5318: : 299iter [00:28, 11.84iter/s]
[ITER 300] Best: 0.5318
[PARAMS] Current best parameters:
  fx: 605.2571
  fy: 605.1970
  px: 1042.5671
  py: 777.3404
  k1: -0.10259406
  k2: 0.04210990
  k3: -0.01369777
  k4: 0.00189539
  p1: 0.00404132
  p2: 0.01365961
  p3: -0.01343331
  p4: 0.00095377
  s1: 0.0159
  s2: -0.0039
  s3: 0.0245
  s4: -0.0030
  tilt_x: 0.0134
  tilt_y: -0.0311
  scale: 3.0023
  rotation: -0.2565

Best score: 0.5318: : 299iter [00:28, 11.84iter/s]
Best score: 0.5318: : 300iter [00:28, 11.84iter/s]
Best score: 0.5318: : 301iter [00:28,  7.65iter/s]
Best score: 0.5318: : 301iter [00:28,  7.65iter/s]
Best score: 0.5318: : 302iter [00:28,  7.65iter/s]
Best score: 0.5318: : 303iter [00:28,  8.58iter/s]
Best score: 0.5318: : 303iter [00:29,  8.58iter/s]
Best score: 0.5318: : 304iter [00:29,  8.58iter/s]
Best score: 0.5318: : 305iter [00:29,  9.36iter/s]
Best score: 0.5318: : 305iter [00:29,  9.36iter/s]
Best score: 0.5318: : 306iter [00:29,  9.36iter/s]
Best score: 0.5318: : 307iter [00:29, 10.02iter/s]
Best score: 0.5318: : 307iter [00:29, 10.02iter/s]
Best score: 0.5318: : 308iter [00:29, 10.02iter/s]
Best score: 0.5318: : 309iter [00:29, 10.54iter/s]
Best score: 0.5318: : 309iter [00:29, 10.54iter/s]
Best score: 0.5318: : 310iter [00:29, 10.54iter/s]
Best score: 0.5318: : 311iter [00:29, 10.79iter/s]
Best score: 0.5318: : 311iter [00:29, 10.79iter/s]
Best score: 0.5318: : 312iter [00:29, 10.79iter/s]
Best score: 0.5318: : 313iter [00:29, 11.12iter/s]
Best score: 0.5318: : 313iter [00:29, 11.12iter/s]
Best score: 0.5318: : 314iter [00:29, 11.12iter/s]
Best score: 0.5318: : 315iter [00:29, 11.29iter/s]
Best score: 0.5318: : 315iter [00:30, 11.29iter/s]
Best score: 0.5318: : 316iter [00:30, 11.29iter/s]
Best score: 0.5318: : 317iter [00:30, 11.44iter/s]
Best score: 0.5318: : 317iter [00:30, 11.44iter/s]
Best score: 0.5318: : 318iter [00:30, 11.44iter/s]
Best score: 0.5318: : 319iter [00:30, 11.57iter/s]
Best score: 0.5318: : 319iter [00:30, 11.57iter/s]
Best score: 0.5318: : 320iter [00:30, 11.57iter/s]
Best score: 0.5318: : 321iter [00:30, 11.46iter/s]
Best score: 0.5318: : 321iter [00:30, 11.46iter/s]
Best score: 0.5318: : 322iter [00:30, 11.46iter/s]
Best score: 0.5318: : 323iter [00:30, 11.61iter/s]
Best score: 0.5318: : 323iter [00:30, 11.61iter/s]
Best score: 0.5318: : 324iter [00:31, 11.61iter/s]
Best score: 0.5318: : 325iter [00:31,  8.97iter/s]
Best score: 0.5318: : 325iter [00:31,  8.97iter/s]
Best score: 0.5318: : 326iter [00:31,  8.97iter/s]
Best score: 0.5318: : 327iter [00:31,  9.72iter/s]
Best score: 0.5318: : 327iter [00:31,  9.72iter/s]
Best score: 0.5318: : 328iter [00:31,  9.72iter/s]
Best score: 0.5318: : 329iter [00:31, 10.32iter/s]
Best score: 0.5318: : 329iter [00:31, 10.32iter/s]
Best score: 0.5318: : 330iter [00:31, 10.32iter/s]
Best score: 0.5318: : 331iter [00:31, 10.62iter/s]
Best score: 0.5318: : 331iter [00:31, 10.62iter/s]
Best score: 0.5318: : 332iter [00:31, 10.62iter/s]
Best score: 0.5318: : 333iter [00:31, 10.99iter/s]
Best score: 0.5318: : 333iter [00:31, 10.99iter/s]
Best score: 0.5318: : 334iter [00:31, 10.99iter/s]
Best score: 0.5318: : 335iter [00:31, 11.31iter/s]
Best score: 0.5318: : 335iter [00:31, 11.31iter/s]
Best score: 0.5318: : 336iter [00:32, 11.31iter/s]
Best score: 0.5318: : 337iter [00:32, 11.52iter/s]
Best score: 0.5318: : 337iter [00:32, 11.52iter/s]
Best score: 0.5318: : 338iter [00:32, 11.52iter/s]
Best score: 0.5318: : 339iter [00:32, 11.66iter/s]
Best score: 0.4878: : 339iter [00:32, 11.66iter/s]
Best score: 0.4878: : 340iter [00:32, 11.66iter/s]
Best score: 0.4878: : 341iter [00:32, 11.59iter/s]
Best score: 0.4878: : 341iter [00:32, 11.59iter/s]
Best score: 0.4878: : 342iter [00:32, 11.59iter/s]
Best score: 0.4878: : 343iter [00:32, 11.70iter/s]
Best score: 0.4878: : 343iter [00:32, 11.70iter/s]
Best score: 0.4878: : 344iter [00:32, 11.70iter/s]
Best score: 0.4878: : 345iter [00:32, 11.80iter/s]
Best score: 0.4878: : 345iter [00:32, 11.80iter/s]
Best score: 0.4878: : 346iter [00:32, 11.80iter/s]
Best score: 0.4878: : 347iter [00:32, 11.87iter/s]
Best score: 0.4878: : 347iter [00:32, 11.87iter/s]
Best score: 0.4878: : 348iter [00:33, 11.87iter/s]
Best score: 0.4878: : 349iter [00:33, 11.90iter/s]
[ITER 350] Best: 0.4785
[PARAMS] Current best parameters:
  fx: 607.7863
  fy: 607.7397
  px: 1040.1727
  py: 772.4984
  k1: -0.13036185
  k2: 0.08083131
  k3: -0.03288674
  k4: 0.00478900
  p1: 0.00027549
  p2: 0.00815675
  p3: -0.01722460
  p4: 0.00807719
  s1: 0.0240
  s2: -0.0134
  s3: 0.0362
  s4: -0.0187
  tilt_x: -0.0083
  tilt_y: -0.0290
  scale: 3.0254
  rotation: -0.2449

Best score: 0.4785: : 349iter [00:33, 11.90iter/s]
Best score: 0.4785: : 350iter [00:33, 11.90iter/s]
Best score: 0.4785: : 351iter [00:33,  7.66iter/s]
Best score: 0.4785: : 351iter [00:33,  7.66iter/s]
Best score: 0.4785: : 352iter [00:33,  7.66iter/s]
Best score: 0.4785: : 353iter [00:33,  8.57iter/s]
Best score: 0.4785: : 353iter [00:33,  8.57iter/s]
Best score: 0.4785: : 354iter [00:33,  8.57iter/s]
Best score: 0.4785: : 355iter [00:33,  9.37iter/s]
Best score: 0.4785: : 355iter [00:33,  9.37iter/s]
Best score: 0.4785: : 356iter [00:33,  9.37iter/s]
Best score: 0.4785: : 357iter [00:33, 10.04iter/s]
Best score: 0.4785: : 357iter [00:34, 10.04iter/s]
Best score: 0.4785: : 358iter [00:34, 10.04iter/s]
Best score: 0.4785: : 359iter [00:34, 10.55iter/s]
Best score: 0.4708: : 359iter [00:34, 10.55iter/s]
Best score: 0.4708: : 360iter [00:34, 10.55iter/s]
Best score: 0.4708: : 361iter [00:34, 10.76iter/s]
Best score: 0.4708: : 361iter [00:34, 10.76iter/s]
Best score: 0.4708: : 362iter [00:34, 10.76iter/s]
Best score: 0.4708: : 363iter [00:34, 11.10iter/s]
Best score: 0.4708: : 363iter [00:34, 11.10iter/s]
Best score: 0.4708: : 364iter [00:34, 11.10iter/s]
Best score: 0.4708: : 365iter [00:34, 11.37iter/s]
Best score: 0.4708: : 365iter [00:34, 11.37iter/s]
Best score: 0.4708: : 366iter [00:34, 11.37iter/s]
Best score: 0.4708: : 367iter [00:34, 11.54iter/s]
Best score: 0.4708: : 367iter [00:34, 11.54iter/s]
Best score: 0.4708: : 368iter [00:35, 11.54iter/s]
Best score: 0.4708: : 369iter [00:35, 11.69iter/s]
Best score: 0.4708: : 369iter [00:35, 11.69iter/s]
Best score: 0.4708: : 370iter [00:35, 11.69iter/s]
Best score: 0.4708: : 371iter [00:35, 11.57iter/s]
Best score: 0.4708: : 371iter [00:35, 11.57iter/s]
Best score: 0.4708: : 372iter [00:35, 11.57iter/s]
Best score: 0.4708: : 373iter [00:35, 11.71iter/s]
Best score: 0.4708: : 373iter [00:35, 11.71iter/s]
Best score: 0.4708: : 374iter [00:35, 11.71iter/s]
Best score: 0.4708: : 375iter [00:35, 11.80iter/s]
Best score: 0.4708: : 375iter [00:35, 11.80iter/s]
Best score: 0.4708: : 376iter [00:35, 11.80iter/s]
Best score: 0.4708: : 377iter [00:35, 11.88iter/s]
Best score: 0.4708: : 377iter [00:35, 11.88iter/s]
Best score: 0.4708: : 378iter [00:35, 11.88iter/s]
Best score: 0.4708: : 379iter [00:35, 11.88iter/s]
Best score: 0.4662: : 379iter [00:35, 11.88iter/s]
Best score: 0.4662: : 380iter [00:36, 11.88iter/s]
Best score: 0.4662: : 381iter [00:36, 11.69iter/s]
Best score: 0.4662: : 381iter [00:36, 11.69iter/s]
Best score: 0.4662: : 382iter [00:36, 11.69iter/s]
Best score: 0.4662: : 383iter [00:36, 11.76iter/s]
Best score: 0.4662: : 383iter [00:36, 11.76iter/s]
Best score: 0.4662: : 384iter [00:36, 11.76iter/s]
Best score: 0.4662: : 385iter [00:36, 11.86iter/s]
Best score: 0.4662: : 385iter [00:36, 11.86iter/s]
Best score: 0.4662: : 386iter [00:36, 11.86iter/s]
Best score: 0.4662: : 387iter [00:36, 11.91iter/s]
Best score: 0.4662: : 387iter [00:36, 11.91iter/s]
Best score: 0.4662: : 388iter [00:36, 11.91iter/s]
Best score: 0.4662: : 389iter [00:36, 11.96iter/s]
Best score: 0.4520: : 389iter [00:36, 11.96iter/s]
Best score: 0.4520: : 390iter [00:36, 11.96iter/s]
Best score: 0.4520: : 391iter [00:36, 11.79iter/s]
Best score: 0.4520: : 391iter [00:36, 11.79iter/s]
Best score: 0.4520: : 392iter [00:37, 11.79iter/s]
Best score: 0.4520: : 393iter [00:37, 11.87iter/s]
Best score: 0.4520: : 393iter [00:37, 11.87iter/s]
Best score: 0.4520: : 394iter [00:37, 11.87iter/s]
Best score: 0.4520: : 395iter [00:37, 11.92iter/s]
Best score: 0.4520: : 395iter [00:37, 11.92iter/s]
Best score: 0.4520: : 396iter [00:37, 11.92iter/s]
Best score: 0.4520: : 397iter [00:37, 11.96iter/s]
Best score: 0.4520: : 397iter [00:37, 11.96iter/s]
Best score: 0.4520: : 398iter [00:37, 11.96iter/s]
Best score: 0.4520: : 399iter [00:37, 11.99iter/s]
[ITER 400] Best: 0.4520
[PARAMS] Current best parameters:
  fx: 608.1982
  fy: 608.3827
  px: 1040.8631
  py: 774.9927
  k1: -0.12182186
  k2: 0.06985110
  k3: -0.02890928
  k4: 0.00451365
  p1: 0.00233777
  p2: 0.01183745
  p3: -0.02081077
  p4: 0.01169917
  s1: 0.0201
  s2: -0.0142
  s3: 0.0340
  s4: -0.0159
  tilt_x: 0.0013
  tilt_y: -0.0262
  scale: 3.0120
  rotation: -0.2474

Best score: 0.4520: : 399iter [00:37, 11.99iter/s]
Best score: 0.4520: : 400iter [00:38, 11.99iter/s]
Best score: 0.4520: : 401iter [00:38,  7.56iter/s]
Best score: 0.4520: : 401iter [00:38,  7.56iter/s]
Best score: 0.4520: : 402iter [00:38,  7.56iter/s]
Best score: 0.4520: : 403iter [00:38,  8.49iter/s]
Best score: 0.4520: : 403iter [00:38,  8.49iter/s]
Best score: 0.4520: : 404iter [00:38,  8.49iter/s]
Best score: 0.4520: : 405iter [00:38,  9.32iter/s]
Best score: 0.4520: : 405iter [00:38,  9.32iter/s]
Best score: 0.4520: : 406iter [00:38,  9.32iter/s]
Best score: 0.4520: : 407iter [00:38,  9.98iter/s]
Best score: 0.4520: : 407iter [00:38,  9.98iter/s]
Best score: 0.4520: : 408iter [00:38,  9.98iter/s]
Best score: 0.4520: : 409iter [00:38, 10.52iter/s]
Best score: 0.4165: : 409iter [00:38, 10.52iter/s]
Best score: 0.4165: : 410iter [00:38, 10.52iter/s]
Best score: 0.4165: : 411iter [00:38, 10.76iter/s]
Best score: 0.4165: : 411iter [00:38, 10.76iter/s]
Best score: 0.4165: : 412iter [00:39, 10.76iter/s]
Best score: 0.4165: : 413iter [00:39, 11.12iter/s]
Best score: 0.4165: : 413iter [00:39, 11.12iter/s]
Best score: 0.4165: : 414iter [00:39, 11.12iter/s]
Best score: 0.4165: : 415iter [00:39, 11.37iter/s]
Best score: 0.4165: : 415iter [00:39, 11.37iter/s]
Best score: 0.4165: : 416iter [00:39, 11.37iter/s]
Best score: 0.4165: : 417iter [00:39, 11.57iter/s]
Best score: 0.4165: : 417iter [00:39, 11.57iter/s]
Best score: 0.4165: : 418iter [00:39, 11.57iter/s]
Best score: 0.4165: : 419iter [00:39, 11.67iter/s]
Best score: 0.4093: : 419iter [00:39, 11.67iter/s]
Best score: 0.4093: : 420iter [00:39, 11.67iter/s]
Best score: 0.4093: : 421iter [00:39, 11.59iter/s]
Best score: 0.4093: : 421iter [00:39, 11.59iter/s]
Best score: 0.4093: : 422iter [00:39, 11.59iter/s]
Best score: 0.4093: : 423iter [00:39, 11.73iter/s]
Best score: 0.4093: : 423iter [00:39, 11.73iter/s]
Best score: 0.4093: : 424iter [00:40, 11.73iter/s]
Best score: 0.4093: : 425iter [00:40, 11.82iter/s]
Best score: 0.4093: : 425iter [00:40, 11.82iter/s]
Best score: 0.4093: : 426iter [00:40, 11.82iter/s]
Best score: 0.4093: : 427iter [00:40, 11.89iter/s]
Best score: 0.4093: : 427iter [00:40, 11.89iter/s]
Best score: 0.4093: : 428iter [00:40, 11.89iter/s]
Best score: 0.4093: : 429iter [00:40, 11.93iter/s]
Best score: 0.4093: : 429iter [00:40, 11.93iter/s]
Best score: 0.4093: : 430iter [00:40, 11.93iter/s]
Best score: 0.4093: : 431iter [00:40, 11.71iter/s]
Best score: 0.4093: : 431iter [00:40, 11.71iter/s]
Best score: 0.4093: : 432iter [00:40, 11.71iter/s]
Best score: 0.4093: : 433iter [00:40, 11.79iter/s]
Best score: 0.4093: : 433iter [00:40, 11.79iter/s]
Best score: 0.4093: : 434iter [00:40, 11.79iter/s]
Best score: 0.4093: : 435iter [00:40, 11.83iter/s]
Best score: 0.4093: : 435iter [00:40, 11.83iter/s]
Best score: 0.4093: : 436iter [00:41, 11.83iter/s]
Best score: 0.4093: : 437iter [00:41, 11.86iter/s]
Best score: 0.4093: : 437iter [00:41, 11.86iter/s]
Best score: 0.4093: : 438iter [00:41, 11.86iter/s]
Best score: 0.4093: : 439iter [00:41, 11.88iter/s]
Best score: 0.3903: : 439iter [00:41, 11.88iter/s]
Best score: 0.3903: : 440iter [00:41, 11.88iter/s]
Best score: 0.3903: : 441iter [00:41, 11.73iter/s]
Best score: 0.3903: : 441iter [00:41, 11.73iter/s]
Best score: 0.3903: : 442iter [00:41, 11.73iter/s]
Best score: 0.3903: : 443iter [00:41, 11.82iter/s]
Best score: 0.3903: : 443iter [00:41, 11.82iter/s]
Best score: 0.3903: : 444iter [00:41, 11.82iter/s]
Best score: 0.3903: : 445iter [00:41, 11.90iter/s]
Best score: 0.3903: : 445iter [00:41, 11.90iter/s]
Best score: 0.3903: : 446iter [00:41, 11.90iter/s]
Best score: 0.3903: : 447iter [00:41, 11.91iter/s]
Best score: 0.3903: : 447iter [00:41, 11.91iter/s]
Best score: 0.3903: : 448iter [00:42, 11.91iter/s]
Best score: 0.3903: : 449iter [00:42, 11.89iter/s]
[ITER 450] Best: 0.3841
[PARAMS] Current best parameters:
  fx: 616.9071
  fy: 617.3760
  px: 1034.5358
  py: 764.3944
  k1: -0.15425222
  k2: 0.11732932
  k3: -0.06175590
  k4: 0.01275915
  p1: -0.00867682
  p2: -0.00099622
  p3: 0.01024156
  p4: 0.01065009
  s1: -0.0030
  s2: -0.0143
  s3: 0.0035
  s4: -0.0135
  tilt_x: -0.0367
  tilt_y: -0.0171
  scale: 3.0284
  rotation: -0.2497

Best score: 0.3841: : 449iter [00:42, 11.89iter/s]
Best score: 0.3841: : 450iter [00:42, 11.89iter/s]
Best score: 0.3841: : 451iter [00:42,  7.63iter/s]
Best score: 0.3841: : 451iter [00:42,  7.63iter/s]
Best score: 0.3841: : 452iter [00:42,  7.63iter/s]
Best score: 0.3841: : 453iter [00:42,  8.55iter/s]
Best score: 0.3841: : 453iter [00:42,  8.55iter/s]
Best score: 0.3841: : 454iter [00:42,  8.55iter/s]
Best score: 0.3841: : 455iter [00:42,  9.38iter/s]
Best score: 0.3841: : 455iter [00:42,  9.38iter/s]
Best score: 0.3841: : 456iter [00:43,  9.38iter/s]
Best score: 0.3841: : 457iter [00:43, 10.04iter/s]
Best score: 0.3841: : 457iter [00:43, 10.04iter/s]
Best score: 0.3841: : 458iter [00:43, 10.04iter/s]
Best score: 0.3841: : 459iter [00:43, 10.55iter/s]
Best score: 0.3841: : 459iter [00:43, 10.55iter/s]
Best score: 0.3841: : 460iter [00:43, 10.55iter/s]
Best score: 0.3841: : 461iter [00:43, 10.74iter/s]
Best score: 0.3841: : 461iter [00:43, 10.74iter/s]
Best score: 0.3841: : 462iter [00:43, 10.74iter/s]
Best score: 0.3841: : 463iter [00:43, 11.10iter/s]
Best score: 0.3841: : 463iter [00:43, 11.10iter/s]
Best score: 0.3841: : 464iter [00:43, 11.10iter/s]
Best score: 0.3841: : 465iter [00:43, 11.38iter/s]
Best score: 0.3841: : 465iter [00:43, 11.38iter/s]
Best score: 0.3841: : 466iter [00:43, 11.38iter/s]
Best score: 0.3841: : 467iter [00:43, 11.57iter/s]
Best score: 0.3841: : 467iter [00:43, 11.57iter/s]
Best score: 0.3841: : 468iter [00:44, 11.57iter/s]
Best score: 0.3841: : 469iter [00:44, 11.66iter/s]
Best score: 0.3841: : 469iter [00:44, 11.66iter/s]
Best score: 0.3841: : 470iter [00:44, 11.66iter/s]
Best score: 0.3841: : 471iter [00:44, 11.57iter/s]
Best score: 0.3841: : 471iter [00:44, 11.57iter/s]
Best score: 0.3841: : 472iter [00:44, 11.57iter/s]
Best score: 0.3841: : 473iter [00:44, 11.72iter/s]
Best score: 0.3841: : 473iter [00:44, 11.72iter/s]
Best score: 0.3841: : 474iter [00:44, 11.72iter/s]
Best score: 0.3841: : 475iter [00:44, 11.77iter/s]
Best score: 0.3841: : 475iter [00:44, 11.77iter/s]
Best score: 0.3841: : 476iter [00:44, 11.77iter/s]
Best score: 0.3841: : 477iter [00:44, 11.86iter/s]
Best score: 0.3841: : 477iter [00:44, 11.86iter/s]
Best score: 0.3841: : 478iter [00:44, 11.86iter/s]
Best score: 0.3841: : 479iter [00:44, 11.91iter/s]
Best score: 0.3792: : 479iter [00:44, 11.91iter/s]
Best score: 0.3792: : 480iter [00:45, 11.91iter/s]
Best score: 0.3792: : 481iter [00:45, 11.71iter/s]
Best score: 0.3792: : 481iter [00:45, 11.71iter/s]
Best score: 0.3792: : 482iter [00:45, 11.71iter/s]
Best score: 0.3792: : 483iter [00:45, 11.81iter/s]
Best score: 0.3792: : 483iter [00:45, 11.81iter/s]
Best score: 0.3792: : 484iter [00:45, 11.81iter/s]
Best score: 0.3792: : 485iter [00:45, 11.89iter/s]
Best score: 0.3792: : 485iter [00:45, 11.89iter/s]
Best score: 0.3792: : 486iter [00:45, 11.89iter/s]
Best score: 0.3792: : 487iter [00:45, 11.94iter/s]
Best score: 0.3792: : 487iter [00:45, 11.94iter/s]
Best score: 0.3792: : 488iter [00:45, 11.94iter/s]
Best score: 0.3792: : 489iter [00:45, 11.98iter/s]
Best score: 0.3749: : 489iter [00:45, 11.98iter/s]
Best score: 0.3749: : 490iter [00:45, 11.98iter/s]
Best score: 0.3749: : 491iter [00:45, 11.77iter/s]
Best score: 0.3749: : 491iter [00:46, 11.77iter/s]
Best score: 0.3749: : 492iter [00:46, 11.77iter/s]
Best score: 0.3749: : 493iter [00:46, 11.84iter/s]
Best score: 0.3749: : 493iter [00:46, 11.84iter/s]
Best score: 0.3749: : 494iter [00:46, 11.84iter/s]
Best score: 0.3749: : 495iter [00:46, 11.87iter/s]
Best score: 0.3749: : 495iter [00:46, 11.87iter/s]
Best score: 0.3749: : 496iter [00:46, 11.87iter/s]
Best score: 0.3749: : 497iter [00:46, 11.91iter/s]
Best score: 0.3749: : 497iter [00:46, 11.91iter/s]
Best score: 0.3749: : 498iter [00:46, 11.91iter/s]
Best score: 0.3749: : 499iter [00:46, 11.96iter/s]
[ITER 500] Best: 0.3694
[PARAMS] Current best parameters:
  fx: 619.5496
  fy: 619.8986
  px: 1033.9942
  py: 763.9323
  k1: -0.15536511
  k2: 0.11608185
  k3: -0.06191355
  k4: 0.01319092
  p1: -0.01243599
  p2: -0.00344662
  p3: 0.01626449
  p4: 0.00654661
  s1: -0.0089
  s2: -0.0093
  s3: -0.0015
  s4: -0.0076
  tilt_x: -0.0313
  tilt_y: -0.0200
  scale: 3.0270
  rotation: -0.2460

Best score: 0.3694: : 499iter [00:46, 11.96iter/s]
Best score: 0.3694: : 500iter [00:47, 11.96iter/s]
Best score: 0.3694: : 501iter [00:47,  7.55iter/s]
Best score: 0.3694: : 501iter [00:47,  7.55iter/s]
Best score: 0.3694: : 502iter [00:47,  7.55iter/s]
Best score: 0.3694: : 503iter [00:47,  8.50iter/s]
Best score: 0.3694: : 503iter [00:47,  8.50iter/s]
Best score: 0.3694: : 504iter [00:47,  8.50iter/s]
Best score: 0.3694: : 505iter [00:47,  9.30iter/s]
Best score: 0.3694: : 505iter [00:47,  9.30iter/s]
Best score: 0.3694: : 506iter [00:47,  9.30iter/s]
Best score: 0.3694: : 507iter [00:47,  9.99iter/s]
Best score: 0.3694: : 507iter [00:47,  9.99iter/s]
Best score: 0.3694: : 508iter [00:47,  9.99iter/s]
Best score: 0.3694: : 509iter [00:47, 10.52iter/s]
Best score: 0.3694: : 509iter [00:47, 10.52iter/s]
Best score: 0.3694: : 510iter [00:47, 10.52iter/s]
Best score: 0.3694: : 511iter [00:47, 10.76iter/s]
Best score: 0.3694: : 511iter [00:48, 10.76iter/s]
Best score: 0.3694: : 512iter [00:48, 10.76iter/s]
Best score: 0.3694: : 513iter [00:48, 11.09iter/s]
Best score: 0.3694: : 513iter [00:48, 11.09iter/s]
Best score: 0.3694: : 514iter [00:48, 11.09iter/s]
Best score: 0.3694: : 515iter [00:48, 11.35iter/s]
Best score: 0.3694: : 515iter [00:48, 11.35iter/s]
Best score: 0.3694: : 516iter [00:48, 11.35iter/s]
Best score: 0.3694: : 517iter [00:48, 11.56iter/s]
Best score: 0.3694: : 517iter [00:48, 11.56iter/s]
Best score: 0.3694: : 518iter [00:48, 11.56iter/s]
Best score: 0.3694: : 519iter [00:48, 11.70iter/s]
Best score: 0.3667: : 519iter [00:48, 11.70iter/s]
Best score: 0.3667: : 520iter [00:48, 11.70iter/s]
Best score: 0.3667: : 521iter [00:48, 11.58iter/s]
Best score: 0.3667: : 521iter [00:48, 11.58iter/s]
Best score: 0.3667: : 522iter [00:48, 11.58iter/s]
Best score: 0.3667: : 523iter [00:48, 11.73iter/s]
Best score: 0.3667: : 523iter [00:49, 11.73iter/s]
Best score: 0.3667: : 524iter [00:49, 11.73iter/s]
Best score: 0.3667: : 525iter [00:49, 11.83iter/s]
Best score: 0.3667: : 525iter [00:49, 11.83iter/s]
Best score: 0.3667: : 526iter [00:49, 11.83iter/s]
Best score: 0.3667: : 527iter [00:49, 11.90iter/s]
Best score: 0.3667: : 527iter [00:49, 11.90iter/s]
Best score: 0.3667: : 528iter [00:49, 11.90iter/s]
Best score: 0.3667: : 529iter [00:49, 11.96iter/s]
Best score: 0.3644: : 529iter [00:49, 11.96iter/s]
Best score: 0.3644: : 530iter [00:49, 11.96iter/s]
Best score: 0.3644: : 531iter [00:49, 11.75iter/s]
Best score: 0.3644: : 531iter [00:49, 11.75iter/s]
Best score: 0.3644: : 532iter [00:49, 11.75iter/s]
Best score: 0.3644: : 533iter [00:49, 11.83iter/s]
Best score: 0.3644: : 533iter [00:49, 11.83iter/s]
Best score: 0.3644: : 534iter [00:49, 11.83iter/s]
Best score: 0.3644: : 535iter [00:49, 11.90iter/s]
Best score: 0.3644: : 535iter [00:50, 11.90iter/s]
Best score: 0.3644: : 536iter [00:50, 11.90iter/s]
Best score: 0.3644: : 537iter [00:50, 11.94iter/s]
Best score: 0.3644: : 537iter [00:50, 11.94iter/s]
Best score: 0.3644: : 538iter [00:50, 11.94iter/s]
Best score: 0.3644: : 539iter [00:50, 11.97iter/s]
Best score: 0.3644: : 539iter [00:50, 11.97iter/s]
Best score: 0.3644: : 540iter [00:50, 11.97iter/s]
Best score: 0.3644: : 541iter [00:50, 11.78iter/s]
Best score: 0.3644: : 541iter [00:50, 11.78iter/s]
Best score: 0.3644: : 542iter [00:50, 11.78iter/s]
Best score: 0.3644: : 543iter [00:50, 11.86iter/s]
Best score: 0.3644: : 543iter [00:50, 11.86iter/s]
Best score: 0.3644: : 544iter [00:50, 11.86iter/s]
Best score: 0.3644: : 545iter [00:50, 11.91iter/s]
Best score: 0.3644: : 545iter [00:50, 11.91iter/s]
Best score: 0.3644: : 546iter [00:50, 11.91iter/s]
Best score: 0.3644: : 547iter [00:50, 11.94iter/s]
Best score: 0.3644: : 547iter [00:51, 11.94iter/s]
Best score: 0.3644: : 548iter [00:51, 11.94iter/s]
Best score: 0.3644: : 549iter [00:51, 11.97iter/s]
[ITER 550] Best: 0.3584
[PARAMS] Current best parameters:
  fx: 621.4102
  fy: 621.6549
  px: 1034.3168
  py: 762.2499
  k1: -0.15578174
  k2: 0.11131980
  k3: -0.05683828
  k4: 0.01166070
  p1: -0.01242174
  p2: -0.00649639
  p3: 0.01990484
  p4: 0.00680014
  s1: -0.0088
  s2: -0.0092
  s3: -0.0081
  s4: -0.0079
  tilt_x: -0.0399
  tilt_y: -0.0274
  scale: 3.0286
  rotation: -0.2367

Best score: 0.3584: : 549iter [00:51, 11.97iter/s]
Best score: 0.3584: : 550iter [00:51, 11.97iter/s]
Best score: 0.3584: : 551iter [00:51,  7.62iter/s]
Best score: 0.3584: : 551iter [00:51,  7.62iter/s]
Best score: 0.3584: : 552iter [00:51,  7.62iter/s]
Best score: 0.3584: : 553iter [00:51,  8.58iter/s]
Best score: 0.3584: : 553iter [00:51,  8.58iter/s]
Best score: 0.3584: : 554iter [00:51,  8.58iter/s]
Best score: 0.3584: : 555iter [00:51,  9.39iter/s]
Best score: 0.3584: : 555iter [00:52,  9.39iter/s]
Best score: 0.3584: : 556iter [00:52,  9.39iter/s]
Best score: 0.3584: : 557iter [00:52, 10.02iter/s]
Best score: 0.3584: : 557iter [00:52, 10.02iter/s]
Best score: 0.3584: : 558iter [00:52, 10.02iter/s]
Best score: 0.3584: : 559iter [00:52, 10.55iter/s]
Best score: 0.3563: : 559iter [00:52, 10.55iter/s]
Best score: 0.3563: : 560iter [00:52, 10.55iter/s]
Best score: 0.3563: : 561iter [00:52, 10.79iter/s]
Best score: 0.3563: : 561iter [00:52, 10.79iter/s]
Best score: 0.3563: : 562iter [00:52, 10.79iter/s]
Best score: 0.3563: : 563iter [00:52, 11.13iter/s]
Best score: 0.3563: : 563iter [00:52, 11.13iter/s]
Best score: 0.3563: : 564iter [00:52, 11.13iter/s]
Best score: 0.3563: : 565iter [00:52, 11.38iter/s]
Best score: 0.3563: : 565iter [00:52, 11.38iter/s]
Best score: 0.3563: : 566iter [00:52, 11.38iter/s]
Best score: 0.3563: : 567iter [00:52, 11.57iter/s]
Best score: 0.3563: : 567iter [00:53, 11.57iter/s]
Best score: 0.3563: : 568iter [00:53, 11.57iter/s]
Best score: 0.3563: : 569iter [00:53, 11.70iter/s]
Best score: 0.3538: : 569iter [00:53, 11.70iter/s]
Best score: 0.3538: : 570iter [00:53, 11.70iter/s]
Best score: 0.3538: : 571iter [00:53, 11.59iter/s]
Best score: 0.3538: : 571iter [00:53, 11.59iter/s]
Best score: 0.3538: : 572iter [00:53, 11.59iter/s]
Best score: 0.3538: : 573iter [00:53, 11.73iter/s]
Best score: 0.3538: : 573iter [00:53, 11.73iter/s]
Best score: 0.3538: : 574iter [00:53, 11.73iter/s]
Best score: 0.3538: : 575iter [00:53, 11.82iter/s]
Best score: 0.3538: : 575iter [00:53, 11.82iter/s]
Best score: 0.3538: : 576iter [00:53, 11.82iter/s]
Best score: 0.3538: : 577iter [00:53, 11.87iter/s]
Best score: 0.3538: : 577iter [00:53, 11.87iter/s]
Best score: 0.3538: : 578iter [00:53, 11.87iter/s]
Best score: 0.3538: : 579iter [00:53, 11.94iter/s]
Best score: 0.3538: : 579iter [00:54, 11.94iter/s]
Best score: 0.3538: : 580iter [00:54, 11.94iter/s]
Best score: 0.3538: : 581iter [00:54, 11.76iter/s]
Best score: 0.3538: : 581iter [00:54, 11.76iter/s]
Best score: 0.3538: : 582iter [00:54, 11.76iter/s]
Best score: 0.3538: : 583iter [00:54, 11.85iter/s]
Best score: 0.3538: : 583iter [00:54, 11.85iter/s]
Best score: 0.3538: : 584iter [00:54, 11.85iter/s]
Best score: 0.3538: : 585iter [00:54, 11.90iter/s]
Best score: 0.3538: : 585iter [00:54, 11.90iter/s]
Best score: 0.3538: : 586iter [00:54, 11.90iter/s]
Best score: 0.3538: : 587iter [00:54, 11.95iter/s]
Best score: 0.3538: : 587iter [00:54, 11.95iter/s]
Best score: 0.3538: : 588iter [00:54, 11.95iter/s]
Best score: 0.3538: : 589iter [00:54, 11.99iter/s]
Best score: 0.3538: : 589iter [00:54, 11.99iter/s]
Best score: 0.3538: : 590iter [00:54, 11.99iter/s]
Best score: 0.3538: : 591iter [00:54, 11.81iter/s]
Best score: 0.3538: : 591iter [00:55, 11.81iter/s]
Best score: 0.3538: : 592iter [00:55, 11.81iter/s]
Best score: 0.3538: : 593iter [00:55, 11.84iter/s]
Best score: 0.3538: : 593iter [00:55, 11.84iter/s]
Best score: 0.3538: : 594iter [00:55, 11.84iter/s]
Best score: 0.3538: : 595iter [00:55, 11.90iter/s]
Best score: 0.3538: : 595iter [00:55, 11.90iter/s]
Best score: 0.3538: : 596iter [00:55, 11.90iter/s]
Best score: 0.3538: : 597iter [00:55, 11.96iter/s]
Best score: 0.3538: : 597iter [00:55, 11.96iter/s]
Best score: 0.3538: : 598iter [00:55, 11.96iter/s]
Best score: 0.3538: : 599iter [00:55, 11.98iter/s]
[ITER 600] Best: 0.3536
[PARAMS] Current best parameters:
  fx: 621.2504
  fy: 621.5599
  px: 1033.6638
  py: 761.6890
  k1: -0.15509027
  k2: 0.11169486
  k3: -0.05789599
  k4: 0.01204172
  p1: -0.01526831
  p2: -0.00688440
  p3: 0.02347309
  p4: 0.00580583
  s1: -0.0129
  s2: -0.0088
  s3: -0.0086
  s4: -0.0082
  tilt_x: -0.0372
  tilt_y: -0.0246
  scale: 3.0252
  rotation: -0.2381

Best score: 0.3536: : 599iter [00:55, 11.98iter/s]
Best score: 0.3536: : 600iter [00:56, 11.98iter/s]
Best score: 0.3536: : 601iter [00:56,  7.67iter/s]
Best score: 0.3536: : 601iter [00:56,  7.67iter/s]
Best score: 0.3536: : 602iter [00:56,  7.67iter/s]
Best score: 0.3536: : 603iter [00:56,  8.61iter/s]
Best score: 0.3536: : 603iter [00:56,  8.61iter/s]
Best score: 0.3536: : 604iter [00:56,  8.61iter/s]
Best score: 0.3536: : 605iter [00:56,  9.41iter/s]
Best score: 0.3536: : 605iter [00:56,  9.41iter/s]
Best score: 0.3536: : 606iter [00:56,  9.41iter/s]
Best score: 0.3536: : 607iter [00:56, 10.08iter/s]
Best score: 0.3536: : 607iter [00:56, 10.08iter/s]
Best score: 0.3536: : 608iter [00:56, 10.08iter/s]
Best score: 0.3536: : 609iter [00:56, 10.60iter/s]
Best score: 0.3536: : 609iter [00:56, 10.60iter/s]
Best score: 0.3536: : 610iter [00:56, 10.60iter/s]
Best score: 0.3536: : 611iter [00:56, 10.84iter/s]
Best score: 0.3536: : 611iter [00:57, 10.84iter/s]
Best score: 0.3536: : 612iter [00:57, 10.84iter/s]
Best score: 0.3536: : 613iter [00:57, 11.17iter/s]
Best score: 0.3536: : 613iter [00:57, 11.17iter/s]
Best score: 0.3536: : 614iter [00:57, 11.17iter/s]
Best score: 0.3536: : 615iter [00:57, 11.42iter/s]
Best score: 0.3536: : 615iter [00:57, 11.42iter/s]
Best score: 0.3536: : 616iter [00:57, 11.42iter/s]
Best score: 0.3536: : 617iter [00:57, 11.61iter/s]
Best score: 0.3536: : 617iter [00:57, 11.61iter/s]
Best score: 0.3536: : 618iter [00:57, 11.61iter/s]
Best score: 0.3536: : 619iter [00:57, 11.75iter/s]
Best score: 0.3517: : 619iter [00:57, 11.75iter/s]
Best score: 0.3517: : 620iter [00:57, 11.75iter/s]
Best score: 0.3517: : 621iter [00:57, 11.65iter/s]
Best score: 0.3517: : 621iter [00:57, 11.65iter/s]
Best score: 0.3517: : 622iter [00:57, 11.65iter/s]
Best score: 0.3517: : 623iter [00:57, 11.76iter/s]
Best score: 0.3517: : 623iter [00:58, 11.76iter/s]
Best score: 0.3517: : 624iter [00:58, 11.76iter/s]
Best score: 0.3517: : 625iter [00:58, 11.83iter/s]
Best score: 0.3517: : 625iter [00:58, 11.83iter/s]
Best score: 0.3517: : 626iter [00:58, 11.83iter/s]
Best score: 0.3517: : 627iter [00:58, 11.87iter/s]
Best score: 0.3517: : 627iter [00:58, 11.87iter/s]
Best score: 0.3517: : 628iter [00:58, 11.87iter/s]
Best score: 0.3517: : 629iter [00:58, 11.91iter/s]
Best score: 0.3492: : 629iter [00:58, 11.91iter/s]
Best score: 0.3492: : 630iter [00:58, 11.91iter/s]
Best score: 0.3492: : 631iter [00:58, 11.75iter/s]
Best score: 0.3492: : 631iter [00:58, 11.75iter/s]
Best score: 0.3492: : 632iter [00:58, 11.75iter/s]
Best score: 0.3492: : 633iter [00:58, 11.84iter/s]
Best score: 0.3492: : 633iter [00:58, 11.84iter/s]
Best score: 0.3492: : 634iter [00:58, 11.84iter/s]
Best score: 0.3492: : 635iter [00:58, 11.86iter/s]
Best score: 0.3492: : 635iter [00:59, 11.86iter/s]
Best score: 0.3492: : 636iter [00:59, 11.86iter/s]
Best score: 0.3492: : 637iter [00:59, 11.80iter/s]
Best score: 0.3492: : 637iter [00:59, 11.80iter/s]
Best score: 0.3492: : 638iter [00:59, 11.80iter/s]
Best score: 0.3492: : 639iter [00:59, 11.81iter/s]
Best score: 0.3474: : 639iter [00:59, 11.81iter/s]
Best score: 0.3474: : 640iter [00:59, 11.81iter/s]
Best score: 0.3474: : 641iter [00:59, 11.68iter/s]
Best score: 0.3474: : 641iter [00:59, 11.68iter/s]
Best score: 0.3474: : 642iter [00:59, 11.68iter/s]
Best score: 0.3474: : 643iter [00:59, 11.78iter/s]
Best score: 0.3474: : 643iter [00:59, 11.78iter/s]
Best score: 0.3474: : 644iter [00:59, 11.78iter/s]
Best score: 0.3474: : 645iter [00:59, 11.81iter/s]
Best score: 0.3474: : 645iter [00:59, 11.81iter/s]
Best score: 0.3474: : 646iter [00:59, 11.81iter/s]
Best score: 0.3474: : 647iter [00:59, 11.77iter/s]
Best score: 0.3474: : 647iter [01:00, 11.77iter/s]
Best score: 0.3474: : 648iter [01:00, 11.77iter/s]
Best score: 0.3474: : 649iter [01:00, 11.81iter/s]
[ITER 650] Best: 0.3461
[PARAMS] Current best parameters:
  fx: 618.0482
  fy: 617.9988
  px: 1032.9369
  py: 759.2345
  k1: -0.14315209
  k2: 0.09088093
  k3: -0.04156471
  k4: 0.00760610
  p1: -0.02454816
  p2: -0.00801969
  p3: 0.02140085
  p4: 0.00741469
  s1: -0.0103
  s2: -0.0103
  s3: -0.0009
  s4: -0.0097
  tilt_x: -0.0317
  tilt_y: -0.0229
  scale: 3.0223
  rotation: -0.2387

Best score: 0.3461: : 649iter [01:00, 11.81iter/s]
Best score: 0.3461: : 650iter [01:00, 11.81iter/s]
Best score: 0.3461: : 651iter [01:00,  7.59iter/s]
Best score: 0.3461: : 651iter [01:00,  7.59iter/s]
Best score: 0.3461: : 652iter [01:00,  7.59iter/s]
Best score: 0.3461: : 653iter [01:00,  8.54iter/s]
Best score: 0.3461: : 653iter [01:00,  8.54iter/s]
Best score: 0.3461: : 654iter [01:00,  8.54iter/s]
Best score: 0.3461: : 655iter [01:00,  9.36iter/s]
Best score: 0.3461: : 655iter [01:01,  9.36iter/s]
Best score: 0.3461: : 656iter [01:01,  9.36iter/s]
Best score: 0.3461: : 657iter [01:01,  9.99iter/s]
Best score: 0.3461: : 657iter [01:01,  9.99iter/s]
Best score: 0.3461: : 658iter [01:01,  9.99iter/s]
Best score: 0.3461: : 659iter [01:01, 10.52iter/s]
Best score: 0.3453: : 659iter [01:01, 10.52iter/s]
Best score: 0.3453: : 660iter [01:01, 10.52iter/s]
Best score: 0.3453: : 661iter [01:01, 10.75iter/s]
Best score: 0.3453: : 661iter [01:01, 10.75iter/s]
Best score: 0.3453: : 662iter [01:01, 10.75iter/s]
Best score: 0.3453: : 663iter [01:01, 11.10iter/s]
Best score: 0.3453: : 663iter [01:01, 11.10iter/s]
Best score: 0.3453: : 664iter [01:01, 11.10iter/s]
Best score: 0.3453: : 665iter [01:01, 11.36iter/s]
Best score: 0.3453: : 665iter [01:01, 11.36iter/s]
Best score: 0.3453: : 666iter [01:01, 11.36iter/s]
Best score: 0.3453: : 667iter [01:01, 11.54iter/s]
Best score: 0.3453: : 667iter [01:02, 11.54iter/s]
Best score: 0.3453: : 668iter [01:02, 11.54iter/s]
Best score: 0.3453: : 669iter [01:02, 11.66iter/s]
Best score: 0.3439: : 669iter [01:02, 11.66iter/s]
Best score: 0.3439: : 670iter [01:02, 11.66iter/s]
Best score: 0.3439: : 671iter [01:02, 11.57iter/s]
Best score: 0.3439: : 671iter [01:02, 11.57iter/s]
Best score: 0.3439: : 672iter [01:02, 11.57iter/s]
Best score: 0.3439: : 673iter [01:02, 11.70iter/s]
Best score: 0.3439: : 673iter [01:02, 11.70iter/s]
Best score: 0.3439: : 674iter [01:02, 11.70iter/s]
Best score: 0.3439: : 675iter [01:02, 11.74iter/s]
Best score: 0.3439: : 675iter [01:02, 11.74iter/s]
Best score: 0.3439: : 676iter [01:02, 11.74iter/s]
Best score: 0.3439: : 677iter [01:02, 11.81iter/s]
Best score: 0.3439: : 677iter [01:02, 11.81iter/s]
Best score: 0.3439: : 678iter [01:02, 11.81iter/s]
Best score: 0.3439: : 679iter [01:02, 11.80iter/s]
Best score: 0.3430: : 679iter [01:03, 11.80iter/s]
Best score: 0.3430: : 680iter [01:03, 11.80iter/s]
Best score: 0.3430: : 681iter [01:03, 11.68iter/s]
Best score: 0.3430: : 681iter [01:03, 11.68iter/s]
Best score: 0.3430: : 682iter [01:03, 11.68iter/s]
Best score: 0.3430: : 683iter [01:03, 11.77iter/s]
Best score: 0.3430: : 683iter [01:03, 11.77iter/s]
Best score: 0.3430: : 684iter [01:03, 11.77iter/s]
Best score: 0.3430: : 685iter [01:03, 11.87iter/s]
Best score: 0.3430: : 685iter [01:03, 11.87iter/s]
Best score: 0.3430: : 686iter [01:03, 11.87iter/s]
Best score: 0.3430: : 687iter [01:03, 11.87iter/s]
Best score: 0.3430: : 687iter [01:03, 11.87iter/s]
Best score: 0.3430: : 688iter [01:03, 11.87iter/s]
Best score: 0.3430: : 689iter [01:03, 11.90iter/s]
Best score: 0.3411: : 689iter [01:03, 11.90iter/s]
Best score: 0.3411: : 690iter [01:04, 11.90iter/s]
Best score: 0.3411: : 691iter [01:04, 11.74iter/s]
Best score: 0.3411: : 691iter [01:04, 11.74iter/s]
Best score: 0.3411: : 692iter [01:04, 11.74iter/s]
Best score: 0.3411: : 693iter [01:04, 11.80iter/s]
Best score: 0.3411: : 693iter [01:04, 11.80iter/s]
Best score: 0.3411: : 694iter [01:04, 11.80iter/s]
Best score: 0.3411: : 695iter [01:04, 11.88iter/s]
Best score: 0.3411: : 695iter [01:04, 11.88iter/s]
Best score: 0.3411: : 696iter [01:04, 11.88iter/s]
Best score: 0.3411: : 697iter [01:04, 11.93iter/s]
Best score: 0.3411: : 697iter [01:04, 11.93iter/s]
Best score: 0.3411: : 698iter [01:04, 11.93iter/s]
Best score: 0.3411: : 699iter [01:04, 11.97iter/s]
[ITER 700] Best: 0.3405
[PARAMS] Current best parameters:
  fx: 617.5771
  fy: 617.6119
  px: 1032.8546
  py: 758.5775
  k1: -0.13373756
  k2: 0.07783552
  k3: -0.03518962
  k4: 0.00659187
  p1: -0.02546503
  p2: -0.00893548
  p3: 0.02364620
  p4: 0.00546578
  s1: -0.0117
  s2: -0.0086
  s3: -0.0024
  s4: -0.0077
  tilt_x: -0.0332
  tilt_y: -0.0242
  scale: 3.0121
  rotation: -0.2390

Best score: 0.3405: : 699iter [01:04, 11.97iter/s]
Best score: 0.3405: : 700iter [01:05, 11.97iter/s]
Best score: 0.3405: : 701iter [01:05,  7.63iter/s]
Best score: 0.3405: : 701iter [01:05,  7.63iter/s]
Best score: 0.3405: : 702iter [01:05,  7.63iter/s]
Best score: 0.3405: : 703iter [01:05,  8.57iter/s]
Best score: 0.3405: : 703iter [01:05,  8.57iter/s]
Best score: 0.3405: : 704iter [01:05,  8.57iter/s]
Best score: 0.3405: : 705iter [01:05,  9.39iter/s]
Best score: 0.3405: : 705iter [01:05,  9.39iter/s]
Best score: 0.3405: : 706iter [01:05,  9.39iter/s]
Best score: 0.3405: : 707iter [01:05, 10.06iter/s]
Best score: 0.3405: : 707iter [01:05, 10.06iter/s]
Best score: 0.3405: : 708iter [01:05, 10.06iter/s]
Best score: 0.3405: : 709iter [01:05, 10.59iter/s]
Best score: 0.3403: : 709iter [01:05, 10.59iter/s]
Best score: 0.3403: : 710iter [01:05, 10.59iter/s]
Best score: 0.3403: : 711iter [01:05, 10.82iter/s]
Best score: 0.3403: : 711iter [01:06, 10.82iter/s]
Best score: 0.3403: : 712iter [01:06, 10.82iter/s]
Best score: 0.3403: : 713iter [01:06, 11.14iter/s]
Best score: 0.3403: : 713iter [01:06, 11.14iter/s]
Best score: 0.3403: : 714iter [01:06, 11.14iter/s]
Best score: 0.3403: : 715iter [01:06, 11.40iter/s]
Best score: 0.3403: : 715iter [01:06, 11.40iter/s]
Best score: 0.3403: : 716iter [01:06, 11.40iter/s]
Best score: 0.3403: : 717iter [01:06, 11.59iter/s]
Best score: 0.3403: : 717iter [01:06, 11.59iter/s]
Best score: 0.3403: : 718iter [01:06, 11.59iter/s]
Best score: 0.3403: : 719iter [01:06, 11.73iter/s]
Best score: 0.3399: : 719iter [01:06, 11.73iter/s]
Best score: 0.3399: : 720iter [01:06, 11.73iter/s]
Best score: 0.3399: : 721iter [01:06, 11.63iter/s]
Best score: 0.3399: : 721iter [01:06, 11.63iter/s]
Best score: 0.3399: : 722iter [01:06, 11.63iter/s]
Best score: 0.3399: : 723iter [01:06, 11.77iter/s]
Best score: 0.3399: : 723iter [01:07, 11.77iter/s]
Best score: 0.3399: : 724iter [01:07, 11.77iter/s]
Best score: 0.3399: : 725iter [01:07, 11.84iter/s]
Best score: 0.3399: : 725iter [01:07, 11.84iter/s]
Best score: 0.3399: : 726iter [01:07, 11.84iter/s]
Best score: 0.3399: : 727iter [01:07, 11.81iter/s]
Best score: 0.3399: : 727iter [01:07, 11.81iter/s]
Best score: 0.3399: : 728iter [01:07, 11.81iter/s]
Best score: 0.3399: : 729iter [01:07, 11.82iter/s]
Best score: 0.3387: : 729iter [01:07, 11.82iter/s]
Best score: 0.3387: : 730iter [01:07, 11.82iter/s]
Best score: 0.3387: : 731iter [01:07, 11.71iter/s]
Best score: 0.3387: : 731iter [01:07, 11.71iter/s]
Best score: 0.3387: : 732iter [01:07, 11.71iter/s]
Best score: 0.3387: : 733iter [01:07, 11.81iter/s]
Best score: 0.3387: : 733iter [01:07, 11.81iter/s]
Best score: 0.3387: : 734iter [01:08, 11.81iter/s]
Best score: 0.3387: : 735iter [01:08, 11.86iter/s]
Best score: 0.3387: : 735iter [01:08, 11.86iter/s]
Best score: 0.3387: : 736iter [01:08, 11.86iter/s]
Best score: 0.3387: : 737iter [01:08, 11.90iter/s]
Best score: 0.3387: : 737iter [01:08, 11.90iter/s]
Best score: 0.3387: : 738iter [01:08, 11.90iter/s]
Best score: 0.3387: : 739iter [01:08, 11.94iter/s]
Best score: 0.3387: : 739iter [01:08, 11.94iter/s]
Best score: 0.3387: : 740iter [01:08, 11.94iter/s]
Best score: 0.3387: : 741iter [01:08, 11.76iter/s]
Best score: 0.3387: : 741iter [01:08, 11.76iter/s]
Best score: 0.3387: : 742iter [01:08, 11.76iter/s]
Best score: 0.3387: : 743iter [01:08, 11.85iter/s]
Best score: 0.3387: : 743iter [01:08, 11.85iter/s]
Best score: 0.3387: : 744iter [01:08, 11.85iter/s]
Best score: 0.3387: : 745iter [01:08, 11.92iter/s]
Best score: 0.3387: : 745iter [01:08, 11.92iter/s]
Best score: 0.3387: : 746iter [01:09, 11.92iter/s]
Best score: 0.3387: : 747iter [01:09, 11.85iter/s]
Best score: 0.3387: : 747iter [01:09, 11.85iter/s]
Best score: 0.3387: : 748iter [01:09, 11.85iter/s]
Best score: 0.3387: : 749iter [01:09, 11.86iter/s]
[ITER 750] Best: 0.3387
[PARAMS] Current best parameters:
  fx: 616.6903
  fy: 616.6668
  px: 1032.4935
  py: 758.4850
  k1: -0.13419273
  k2: 0.08026751
  k3: -0.03699294
  k4: 0.00702963
  p1: -0.02612790
  p2: -0.00918769
  p3: 0.02232236
  p4: 0.00384427
  s1: -0.0105
  s2: -0.0067
  s3: -0.0009
  s4: -0.0052
  tilt_x: -0.0327
  tilt_y: -0.0226
  scale: 3.0135
  rotation: -0.2405

Best score: 0.3387: : 749iter [01:09, 11.86iter/s]
Best score: 0.3387: : 750iter [01:09, 11.86iter/s]
Best score: 0.3387: : 751iter [01:09,  7.64iter/s]
Best score: 0.3387: : 751iter [01:09,  7.64iter/s]
Best score: 0.3387: : 752iter [01:09,  7.64iter/s]
Best score: 0.3387: : 753iter [01:09,  8.58iter/s]
Best score: 0.3387: : 753iter [01:09,  8.58iter/s]
Best score: 0.3387: : 754iter [01:10,  8.58iter/s]
Best score: 0.3387: : 755iter [01:10,  9.36iter/s]
Best score: 0.3387: : 755iter [01:10,  9.36iter/s]
Best score: 0.3387: : 756iter [01:10,  9.36iter/s]
Best score: 0.3387: : 757iter [01:10, 10.03iter/s]
Best score: 0.3387: : 757iter [01:10, 10.03iter/s]
Best score: 0.3387: : 758iter [01:10, 10.03iter/s]
Best score: 0.3387: : 759iter [01:10, 10.57iter/s]
Best score: 0.3385: : 759iter [01:10, 10.57iter/s]
Best score: 0.3385: : 760iter [01:10, 10.57iter/s]
Best score: 0.3385: : 761iter [01:10, 10.76iter/s]
Best score: 0.3385: : 761iter [01:10, 10.76iter/s]
Best score: 0.3385: : 762iter [01:10, 10.76iter/s]
Best score: 0.3385: : 763iter [01:10, 11.02iter/s]
Best score: 0.3385: : 763iter [01:10, 11.02iter/s]
Best score: 0.3385: : 764iter [01:10, 11.02iter/s]
Best score: 0.3385: : 765iter [01:10, 11.32iter/s]
Best score: 0.3385: : 765iter [01:10, 11.32iter/s]
Best score: 0.3385: : 766iter [01:11, 11.32iter/s]
Best score: 0.3385: : 767iter [01:11, 11.53iter/s]
Best score: 0.3385: : 767iter [01:11, 11.53iter/s]
Best score: 0.3385: : 768iter [01:11, 11.53iter/s]
Best score: 0.3385: : 769iter [01:11, 11.67iter/s]
Best score: 0.3381: : 769iter [01:11, 11.67iter/s]
Best score: 0.3381: : 770iter [01:11, 11.67iter/s]
Best score: 0.3381: : 771iter [01:11, 11.58iter/s]
Best score: 0.3381: : 771iter [01:11, 11.58iter/s]
Best score: 0.3381: : 772iter [01:11, 11.58iter/s]
Best score: 0.3381: : 773iter [01:11, 11.72iter/s]
Best score: 0.3381: : 773iter [01:11, 11.72iter/s]
Best score: 0.3381: : 774iter [01:11, 11.72iter/s]
Best score: 0.3381: : 775iter [01:11, 11.79iter/s]
Best score: 0.3381: : 775iter [01:11, 11.79iter/s]
Best score: 0.3381: : 776iter [01:11, 11.79iter/s]
Best score: 0.3381: : 777iter [01:11, 11.88iter/s]
Best score: 0.3381: : 777iter [01:11, 11.88iter/s]
Best score: 0.3381: : 778iter [01:12, 11.88iter/s]
Best score: 0.3381: : 779iter [01:12, 11.93iter/s]
Best score: 0.3381: : 779iter [01:12, 11.93iter/s]
Best score: 0.3381: : 780iter [01:12, 11.93iter/s]
Best score: 0.3381: : 781iter [01:12, 11.77iter/s]
Best score: 0.3381: : 781iter [01:12, 11.77iter/s]
Best score: 0.3381: : 782iter [01:12, 11.77iter/s]
Best score: 0.3381: : 783iter [01:12, 11.86iter/s]
Best score: 0.3381: : 783iter [01:12, 11.86iter/s]
Best score: 0.3381: : 784iter [01:12, 11.86iter/s]
Best score: 0.3381: : 785iter [01:12, 11.93iter/s]
Best score: 0.3381: : 785iter [01:12, 11.93iter/s]
Best score: 0.3381: : 786iter [01:12, 11.93iter/s]
Best score: 0.3381: : 787iter [01:12, 11.96iter/s]
Best score: 0.3381: : 787iter [01:12, 11.96iter/s]
Best score: 0.3381: : 788iter [01:12, 11.96iter/s]
Best score: 0.3381: : 789iter [01:12, 11.98iter/s]
Best score: 0.3380: : 789iter [01:12, 11.98iter/s]
Best score: 0.3380: : 790iter [01:13, 11.98iter/s]
Best score: 0.3380: : 791iter [01:13, 11.79iter/s]
Best score: 0.3380: : 791iter [01:13, 11.79iter/s]
Best score: 0.3380: : 792iter [01:13, 11.79iter/s]
Best score: 0.3380: : 793iter [01:13, 11.86iter/s]
Best score: 0.3380: : 793iter [01:13, 11.86iter/s]
Best score: 0.3380: : 794iter [01:13, 11.86iter/s]
Best score: 0.3380: : 795iter [01:13, 11.91iter/s]
Best score: 0.3380: : 795iter [01:13, 11.91iter/s]
Best score: 0.3380: : 796iter [01:13, 11.91iter/s]
Best score: 0.3380: : 797iter [01:13, 11.95iter/s]
Best score: 0.3380: : 797iter [01:13, 11.95iter/s]
Best score: 0.3380: : 798iter [01:13, 11.95iter/s]
Best score: 0.3380: : 799iter [01:13, 11.99iter/s]
[ITER 800] Best: 0.3377
[PARAMS] Current best parameters:
  fx: 615.7983
  fy: 615.6443
  px: 1032.2877
  py: 758.2197
  k1: -0.13242770
  k2: 0.07893624
  k3: -0.03654057
  k4: 0.00700622
  p1: -0.02702786
  p2: -0.00841102
  p3: 0.02198149
  p4: 0.00216114
  s1: -0.0110
  s2: -0.0055
  s3: -0.0003
  s4: -0.0035
  tilt_x: -0.0319
  tilt_y: -0.0201
  scale: 3.0127
  rotation: -0.2430

Best score: 0.3377: : 799iter [01:13, 11.99iter/s]
Best score: 0.3377: : 800iter [01:14, 11.99iter/s]
Best score: 0.3377: : 801iter [01:14,  7.66iter/s]
Best score: 0.3377: : 801iter [01:14,  7.66iter/s]
Best score: 0.3377: : 802iter [01:14,  7.66iter/s]
Best score: 0.3377: : 803iter [01:14,  8.58iter/s]
Best score: 0.3377: : 803iter [01:14,  8.58iter/s]
Best score: 0.3377: : 804iter [01:14,  8.58iter/s]
Best score: 0.3377: : 805iter [01:14,  9.39iter/s]
Best score: 0.3377: : 805iter [01:14,  9.39iter/s]
Best score: 0.3377: : 806iter [01:14,  9.39iter/s]
Best score: 0.3377: : 807iter [01:14, 10.07iter/s]
Best score: 0.3377: : 807iter [01:14, 10.07iter/s]
Best score: 0.3377: : 808iter [01:14, 10.07iter/s]
Best score: 0.3377: : 809iter [01:14, 10.60iter/s]
Best score: 0.3375: : 809iter [01:14, 10.60iter/s]
Best score: 0.3375: : 810iter [01:15, 10.60iter/s]
Best score: 0.3375: : 811iter [01:15, 10.81iter/s]
Best score: 0.3375: : 811iter [01:15, 10.81iter/s]
Best score: 0.3375: : 812iter [01:15, 10.81iter/s]
Best score: 0.3375: : 813iter [01:15, 11.15iter/s]
Best score: 0.3375: : 813iter [01:15, 11.15iter/s]
Best score: 0.3375: : 814iter [01:15, 11.15iter/s]
Best score: 0.3375: : 815iter [01:15,  9.05iter/s]
Best score: 0.3375: : 815iter [01:15,  9.05iter/s]
Best score: 0.3375: : 816iter [01:15,  9.05iter/s]
Best score: 0.3375: : 817iter [01:15,  9.77iter/s]
Best score: 0.3375: : 817iter [01:15,  9.77iter/s]
Best score: 0.3375: : 818iter [01:15,  9.77iter/s]
Best score: 0.3375: : 819iter [01:15, 10.36iter/s]
Best score: 0.3368: : 819iter [01:15, 10.36iter/s]
Best score: 0.3368: : 820iter [01:16, 10.36iter/s]
Best score: 0.3368: : 821iter [01:16, 10.65iter/s]
Best score: 0.3368: : 821iter [01:16, 10.65iter/s]
Best score: 0.3368: : 822iter [01:16, 10.65iter/s]
Best score: 0.3368: : 823iter [01:16, 11.03iter/s]
Best score: 0.3368: : 823iter [01:16, 11.03iter/s]
Best score: 0.3368: : 824iter [01:16, 11.03iter/s]
Best score: 0.3368: : 825iter [01:16, 11.32iter/s]
Best score: 0.3368: : 825iter [01:16, 11.32iter/s]
Best score: 0.3368: : 826iter [01:16, 11.32iter/s]
Best score: 0.3368: : 827iter [01:16, 11.52iter/s]
Best score: 0.3368: : 827iter [01:16, 11.52iter/s]
Best score: 0.3368: : 828iter [01:16, 11.52iter/s]
Best score: 0.3368: : 829iter [01:16, 11.68iter/s]
Best score: 0.3366: : 829iter [01:16, 11.68iter/s]
Best score: 0.3366: : 830iter [01:16, 11.68iter/s]
Best score: 0.3366: : 831iter [01:16, 11.58iter/s]
Best score: 0.3366: : 831iter [01:16, 11.58iter/s]
Best score: 0.3366: : 832iter [01:17, 11.58iter/s]
Best score: 0.3366: : 833iter [01:17, 11.72iter/s]
Best score: 0.3366: : 833iter [01:17, 11.72iter/s]
Best score: 0.3366: : 834iter [01:17, 11.72iter/s]
Best score: 0.3366: : 835iter [01:17, 11.83iter/s]
Best score: 0.3366: : 835iter [01:17, 11.83iter/s]
Best score: 0.3366: : 836iter [01:17, 11.83iter/s]
Best score: 0.3366: : 837iter [01:17, 11.88iter/s]
Best score: 0.3366: : 837iter [01:17, 11.88iter/s]
Best score: 0.3366: : 838iter [01:17, 11.88iter/s]
Best score: 0.3366: : 839iter [01:17, 11.94iter/s]
Best score: 0.3363: : 839iter [01:17, 11.94iter/s]
Best score: 0.3363: : 840iter [01:17, 11.94iter/s]
Best score: 0.3363: : 841iter [01:17, 11.76iter/s]
Best score: 0.3363: : 841iter [01:17, 11.76iter/s]
Best score: 0.3363: : 842iter [01:17, 11.76iter/s]
Best score: 0.3363: : 843iter [01:17, 11.78iter/s]
Best score: 0.3363: : 843iter [01:17, 11.78iter/s]
Best score: 0.3363: : 844iter [01:18, 11.78iter/s]
Best score: 0.3363: : 845iter [01:18, 11.83iter/s]
Best score: 0.3363: : 845iter [01:18, 11.83iter/s]
Best score: 0.3363: : 846iter [01:18, 11.83iter/s]
Best score: 0.3363: : 847iter [01:18, 11.89iter/s]
Best score: 0.3363: : 847iter [01:18, 11.89iter/s]
Best score: 0.3363: : 848iter [01:18, 11.89iter/s]
Best score: 0.3363: : 849iter [01:18, 11.95iter/s]
[ITER 850] Best: 0.3363
[PARAMS] Current best parameters:
  fx: 612.8695
  fy: 612.7843
  px: 1032.1109
  py: 758.1144
  k1: -0.13057404
  k2: 0.08162409
  k3: -0.03940878
  k4: 0.00779341
  p1: -0.02681188
  p2: -0.00680480
  p3: 0.02247873
  p4: -0.00036753
  s1: -0.0132
  s2: -0.0026
  s3: -0.0010
  s4: -0.0005
  tilt_x: -0.0327
  tilt_y: -0.0156
  scale: 3.0137
  rotation: -0.2486

Best score: 0.3363: : 849iter [01:18, 11.95iter/s]
Best score: 0.3363: : 850iter [01:18, 11.95iter/s]
Best score: 0.3363: : 851iter [01:18,  7.64iter/s]
Best score: 0.3363: : 851iter [01:18,  7.64iter/s]
Best score: 0.3363: : 852iter [01:19,  7.64iter/s]
Best score: 0.3363: : 853iter [01:19,  8.58iter/s]
Best score: 0.3363: : 853iter [01:19,  8.58iter/s]
Best score: 0.3363: : 854iter [01:19,  8.58iter/s]
Best score: 0.3363: : 855iter [01:19,  9.39iter/s]
Best score: 0.3363: : 855iter [01:19,  9.39iter/s]
Best score: 0.3363: : 856iter [01:19,  9.39iter/s]
Best score: 0.3363: : 857iter [01:19, 10.05iter/s]
Best score: 0.3363: : 857iter [01:19, 10.05iter/s]
Best score: 0.3363: : 858iter [01:19, 10.05iter/s]
Best score: 0.3363: : 859iter [01:19, 10.59iter/s]
Best score: 0.3363: : 859iter [01:19, 10.59iter/s]
Best score: 0.3363: : 860iter [01:19, 10.59iter/s]
Best score: 0.3363: : 861iter [01:19, 10.79iter/s]
Best score: 0.3363: : 861iter [01:19, 10.79iter/s]
Best score: 0.3363: : 862iter [01:19, 10.79iter/s]
Best score: 0.3363: : 863iter [01:19, 11.15iter/s]
Best score: 0.3363: : 863iter [01:19, 11.15iter/s]
Best score: 0.3363: : 864iter [01:20, 11.15iter/s]
Best score: 0.3363: : 865iter [01:20, 11.40iter/s]
Best score: 0.3363: : 865iter [01:20, 11.40iter/s]
Best score: 0.3363: : 866iter [01:20, 11.40iter/s]
Best score: 0.3363: : 867iter [01:20, 11.58iter/s]
Best score: 0.3363: : 867iter [01:20, 11.58iter/s]
Best score: 0.3363: : 868iter [01:20, 11.58iter/s]
Best score: 0.3363: : 869iter [01:20, 11.71iter/s]
Best score: 0.3363: : 869iter [01:20, 11.71iter/s]
Best score: 0.3363: : 870iter [01:20, 11.71iter/s]
Best score: 0.3363: : 871iter [01:20, 11.59iter/s]
Best score: 0.3363: : 871iter [01:20, 11.59iter/s]
Best score: 0.3363: : 872iter [01:20, 11.59iter/s]
Best score: 0.3363: : 873iter [01:20, 11.72iter/s]
Best score: 0.3363: : 873iter [01:20, 11.72iter/s]
Best score: 0.3363: : 874iter [01:20, 11.72iter/s]
Best score: 0.3363: : 875iter [01:20, 11.79iter/s]
Best score: 0.3363: : 875iter [01:20, 11.79iter/s]
Best score: 0.3363: : 876iter [01:21, 11.79iter/s]
Best score: 0.3363: : 877iter [01:21, 11.85iter/s]
Best score: 0.3363: : 877iter [01:21, 11.85iter/s]
Best score: 0.3363: : 878iter [01:21, 11.85iter/s]
Best score: 0.3363: : 879iter [01:21, 11.92iter/s]
Best score: 0.3361: : 879iter [01:21, 11.92iter/s]
Best score: 0.3361: : 880iter [01:21, 11.92iter/s]
Best score: 0.3361: : 881iter [01:21, 11.76iter/s]
Best score: 0.3361: : 881iter [01:21, 11.76iter/s]
Best score: 0.3361: : 882iter [01:21, 11.76iter/s]
Best score: 0.3361: : 883iter [01:21, 11.84iter/s]
Best score: 0.3361: : 883iter [01:21, 11.84iter/s]
Best score: 0.3361: : 884iter [01:21, 11.84iter/s]
Best score: 0.3361: : 885iter [01:21, 11.91iter/s]
Best score: 0.3361: : 885iter [01:21, 11.91iter/s]
Best score: 0.3361: : 886iter [01:21, 11.91iter/s]
Best score: 0.3361: : 887iter [01:21, 11.95iter/s]
Best score: 0.3361: : 887iter [01:21, 11.95iter/s]
Best score: 0.3361: : 888iter [01:22, 11.95iter/s]
Best score: 0.3361: : 889iter [01:22, 11.98iter/s]
Best score: 0.3361: : 889iter [01:22, 11.98iter/s]
Best score: 0.3361: : 890iter [01:22, 11.98iter/s]
Best score: 0.3361: : 891iter [01:22, 11.77iter/s]
Best score: 0.3361: : 891iter [01:22, 11.77iter/s]
Best score: 0.3361: : 892iter [01:22, 11.77iter/s]
Best score: 0.3361: : 893iter [01:22, 11.80iter/s]
Best score: 0.3361: : 893iter [01:22, 11.80iter/s]
Best score: 0.3361: : 894iter [01:22, 11.80iter/s]
Best score: 0.3361: : 895iter [01:22, 11.84iter/s]
Best score: 0.3361: : 895iter [01:22, 11.84iter/s]
Best score: 0.3361: : 896iter [01:22, 11.84iter/s]
Best score: 0.3361: : 897iter [01:22, 11.81iter/s]
Best score: 0.3361: : 897iter [01:22, 11.81iter/s]
Best score: 0.3361: : 898iter [01:22, 11.81iter/s]
Best score: 0.3361: : 899iter [01:22, 11.78iter/s]
[ITER 900] Best: 0.3361
[PARAMS] Current best parameters:
  fx: 613.4525
  fy: 613.3337
  px: 1031.7327
  py: 757.9864
  k1: -0.13143767
  k2: 0.08177077
  k3: -0.03922543
  k4: 0.00773223
  p1: -0.02742199
  p2: -0.00734159
  p3: 0.02364458
  p4: 0.00052585
  s1: -0.0141
  s2: -0.0038
  s3: -0.0015
  s4: -0.0017
  tilt_x: -0.0323
  tilt_y: -0.0147
  scale: 3.0139
  rotation: -0.2535

Best score: 0.3361: : 899iter [01:22, 11.78iter/s]
Best score: 0.3361: : 900iter [01:23, 11.78iter/s]
Best score: 0.3361: : 901iter [01:23,  7.59iter/s]
Best score: 0.3361: : 901iter [01:23,  7.59iter/s]
Best score: 0.3361: : 902iter [01:23,  7.59iter/s]
Best score: 0.3361: : 903iter [01:23,  8.51iter/s]
Best score: 0.3361: : 903iter [01:23,  8.51iter/s]
Best score: 0.3361: : 904iter [01:23,  8.51iter/s]
Best score: 0.3361: : 905iter [01:23,  9.27iter/s]
Best score: 0.3361: : 905iter [01:23,  9.27iter/s]
Best score: 0.3361: : 906iter [01:23,  9.27iter/s]
Best score: 0.3361: : 907iter [01:23,  9.92iter/s]
Best score: 0.3361: : 907iter [01:23,  9.92iter/s]
Best score: 0.3361: : 908iter [01:24,  9.92iter/s]
Best score: 0.3361: : 909iter [01:24, 10.47iter/s]
Best score: 0.3361: : 909iter [01:24, 10.47iter/s]
Best score: 0.3361: : 910iter [01:24, 10.47iter/s]
Best score: 0.3361: : 911iter [01:24, 10.71iter/s]
Best score: 0.3361: : 911iter [01:24, 10.71iter/s]
Best score: 0.3361: : 912iter [01:24, 10.71iter/s]
Best score: 0.3361: : 913iter [01:24, 11.07iter/s]
Best score: 0.3361: : 913iter [01:24, 11.07iter/s]
Best score: 0.3361: : 914iter [01:24, 11.07iter/s]
Best score: 0.3361: : 915iter [01:24, 11.34iter/s]
Best score: 0.3361: : 915iter [01:24, 11.34iter/s]
Best score: 0.3361: : 916iter [01:24, 11.34iter/s]
Best score: 0.3361: : 917iter [01:24, 11.55iter/s]
Best score: 0.3361: : 917iter [01:24, 11.55iter/s]
Best score: 0.3361: : 918iter [01:24, 11.55iter/s]
Best score: 0.3361: : 919iter [01:24, 11.64iter/s]
Best score: 0.3361: : 919iter [01:24, 11.64iter/s]
Best score: 0.3361: : 920iter [01:25, 11.64iter/s]
Best score: 0.3361: : 921iter [01:25, 11.52iter/s]
Best score: 0.3361: : 921iter [01:25, 11.52iter/s]
Best score: 0.3361: : 922iter [01:25, 11.52iter/s]
Best score: 0.3361: : 923iter [01:25, 11.59iter/s]
Best score: 0.3361: : 923iter [01:25, 11.59iter/s]
Best score: 0.3361: : 924iter [01:25, 11.59iter/s]
Best score: 0.3361: : 925iter [01:25, 11.72iter/s]
Best score: 0.3361: : 925iter [01:25, 11.72iter/s]
Best score: 0.3361: : 926iter [01:25, 11.72iter/s]
Best score: 0.3361: : 927iter [01:25, 11.82iter/s]
Best score: 0.3361: : 927iter [01:25, 11.82iter/s]
Best score: 0.3361: : 928iter [01:25, 11.82iter/s]
Best score: 0.3361: : 929iter [01:25, 11.89iter/s]
Best score: 0.3361: : 929iter [01:25, 11.89iter/s]
Best score: 0.3361: : 930iter [01:25, 11.89iter/s]
Best score: 0.3361: : 931iter [01:25, 11.74iter/s]
Best score: 0.3361: : 931iter [01:25, 11.74iter/s]
Best score: 0.3361: : 932iter [01:26, 11.74iter/s]
Best score: 0.3361: : 933iter [01:26, 11.82iter/s]
Best score: 0.3361: : 933iter [01:26, 11.82iter/s]
Best score: 0.3361: : 934iter [01:26, 11.82iter/s]
Best score: 0.3361: : 935iter [01:26, 11.81iter/s]
Best score: 0.3361: : 935iter [01:26, 11.81iter/s]
Best score: 0.3361: : 936iter [01:26, 11.81iter/s]
Best score: 0.3361: : 937iter [01:26, 11.88iter/s]
Best score: 0.3361: : 937iter [01:26, 11.88iter/s]
Best score: 0.3361: : 938iter [01:26, 11.88iter/s]
Best score: 0.3361: : 939iter [01:26, 11.93iter/s]
Best score: 0.3361: : 939iter [01:26, 11.93iter/s]
Best score: 0.3361: : 940iter [01:26, 11.93iter/s]
Best score: 0.3361: : 941iter [01:26, 11.75iter/s]
Best score: 0.3361: : 941iter [01:26, 11.75iter/s]
Best score: 0.3361: : 942iter [01:26, 11.75iter/s]
Best score: 0.3361: : 943iter [01:26, 11.83iter/s]
Best score: 0.3361: : 943iter [01:27, 11.83iter/s]
Best score: 0.3361: : 944iter [01:27, 11.83iter/s]
Best score: 0.3361: : 945iter [01:27, 11.84iter/s]
Best score: 0.3361: : 945iter [01:27, 11.84iter/s]
Best score: 0.3361: : 946iter [01:27, 11.84iter/s]
Best score: 0.3361: : 947iter [01:27, 11.91iter/s]
Best score: 0.3361: : 947iter [01:27, 11.91iter/s]
Best score: 0.3361: : 948iter [01:27, 11.91iter/s]
Best score: 0.3361: : 949iter [01:27, 11.90iter/s]
[ITER 950] Best: 0.3361
[PARAMS] Current best parameters:
  fx: 612.3582
  fy: 612.2431
  px: 1032.0703
  py: 757.9619
  k1: -0.12928742
  k2: 0.08009347
  k3: -0.03845587
  k4: 0.00758151
  p1: -0.02699026
  p2: -0.00651438
  p3: 0.02309152
  p4: -0.00078944
  s1: -0.0140
  s2: -0.0023
  s3: -0.0017
  s4: -0.0000
  tilt_x: -0.0331
  tilt_y: -0.0148
  scale: 3.0132
  rotation: -0.2514

Best score: 0.3361: : 949iter [01:27, 11.90iter/s]
Best score: 0.3361: : 950iter [01:27, 11.90iter/s]
Best score: 0.3361: : 951iter [01:27,  7.63iter/s]
Best score: 0.3361: : 951iter [01:27,  7.63iter/s]
Best score: 0.3361: : 952iter [01:28,  7.63iter/s]
Best score: 0.3361: : 953iter [01:28,  8.48iter/s]
Best score: 0.3361: : 953iter [01:28,  8.48iter/s]
Best score: 0.3361: : 954iter [01:28,  8.48iter/s]
Best score: 0.3361: : 955iter [01:28,  9.24iter/s]
Best score: 0.3361: : 955iter [01:28,  9.24iter/s]
Best score: 0.3361: : 956iter [01:28,  9.24iter/s]
Best score: 0.3361: : 957iter [01:28,  9.86iter/s]
Best score: 0.3361: : 957iter [01:28,  9.86iter/s]
Best score: 0.3361: : 958iter [01:28,  9.86iter/s]
Best score: 0.3361: : 959iter [01:28, 10.43iter/s]
Best score: 0.3360: : 959iter [01:28, 10.43iter/s]
Best score: 0.3360: : 960iter [01:28, 10.43iter/s]
Best score: 0.3360: : 961iter [01:28, 10.70iter/s]
Best score: 0.3360: : 961iter [01:28, 10.70iter/s]
Best score: 0.3360: : 962iter [01:28, 10.70iter/s]
Best score: 0.3360: : 963iter [01:28, 11.05iter/s]
Best score: 0.3360: : 963iter [01:29, 11.05iter/s]
Best score: 0.3360: : 964iter [01:29, 11.05iter/s]
Best score: 0.3360: : 965iter [01:29, 11.31iter/s]
Best score: 0.3360: : 965iter [01:29, 11.31iter/s]
Best score: 0.3360: : 966iter [01:29, 11.31iter/s]
Best score: 0.3360: : 967iter [01:29, 11.52iter/s]
Best score: 0.3360: : 967iter [01:29, 11.52iter/s]
Best score: 0.3360: : 968iter [01:29, 11.52iter/s]
Best score: 0.3360: : 969iter [01:29, 11.67iter/s]
Best score: 0.3360: : 969iter [01:29, 11.67iter/s]
Best score: 0.3360: : 970iter [01:29, 11.67iter/s]
Best score: 0.3360: : 971iter [01:29, 11.58iter/s]
Best score: 0.3360: : 971iter [01:29, 11.58iter/s]
Best score: 0.3360: : 972iter [01:29, 11.58iter/s]
Best score: 0.3360: : 973iter [01:29, 11.70iter/s]
Best score: 0.3360: : 973iter [01:29, 11.70iter/s]
Best score: 0.3360: : 974iter [01:29, 11.70iter/s]
Best score: 0.3360: : 975iter [01:29, 11.78iter/s]
Best score: 0.3360: : 975iter [01:30, 11.78iter/s]
Best score: 0.3360: : 976iter [01:30, 11.78iter/s]
Best score: 0.3360: : 977iter [01:30, 11.77iter/s]
Best score: 0.3360: : 977iter [01:30, 11.77iter/s]
Best score: 0.3360: : 978iter [01:30, 11.77iter/s]
Best score: 0.3360: : 979iter [01:30, 11.81iter/s]
Best score: 0.3360: : 979iter [01:30, 11.81iter/s]
Best score: 0.3360: : 980iter [01:30, 11.81iter/s]
Best score: 0.3360: : 981iter [01:30, 11.68iter/s]
Best score: 0.3360: : 981iter [01:30, 11.68iter/s]
Best score: 0.3360: : 982iter [01:30, 11.68iter/s]
Best score: 0.3360: : 983iter [01:30, 11.75iter/s]
Best score: 0.3360: : 983iter [01:30, 11.75iter/s]
Best score: 0.3360: : 984iter [01:30, 11.75iter/s]
Best score: 0.3360: : 985iter [01:30, 11.84iter/s]
Best score: 0.3360: : 985iter [01:30, 11.84iter/s]
Best score: 0.3360: : 986iter [01:30, 11.84iter/s]
Best score: 0.3360: : 987iter [01:30, 11.91iter/s]
Best score: 0.3360: : 987iter [01:31, 11.91iter/s]
Best score: 0.3360: : 988iter [01:31, 11.91iter/s]
Best score: 0.3360: : 989iter [01:31, 11.95iter/s]
Best score: 0.3360: : 989iter [01:31, 11.95iter/s]
Best score: 0.3360: : 990iter [01:31, 11.95iter/s]
Best score: 0.3360: : 991iter [01:31, 11.76iter/s]
Best score: 0.3360: : 991iter [01:31, 11.76iter/s]
Best score: 0.3360: : 992iter [01:31, 11.76iter/s]
Best score: 0.3360: : 993iter [01:31, 11.83iter/s]
Best score: 0.3360: : 993iter [01:31, 11.83iter/s]
Best score: 0.3360: : 994iter [01:31, 11.83iter/s]
Best score: 0.3360: : 995iter [01:31, 11.89iter/s]
Best score: 0.3360: : 995iter [01:31, 11.89iter/s]
Best score: 0.3360: : 996iter [01:31, 11.89iter/s]
Best score: 0.3360: : 997iter [01:31, 11.92iter/s]
Best score: 0.3360: : 997iter [01:31, 11.92iter/s]
Best score: 0.3360: : 998iter [01:31, 11.92iter/s]
Best score: 0.3360: : 999iter [01:31, 11.96iter/s]
[ITER 1000] Best: 0.3359
[PARAMS] Current best parameters:
  fx: 612.6245
  fy: 612.5404
  px: 1031.7943
  py: 757.2779
  k1: -0.13030897
  k2: 0.08162060
  k3: -0.03955561
  k4: 0.00787023
  p1: -0.02720245
  p2: -0.00668049
  p3: 0.02299322
  p4: -0.00005671
  s1: -0.0138
  s2: -0.0034
  s3: -0.0023
  s4: -0.0006
  tilt_x: -0.0364
  tilt_y: -0.0137
  scale: 3.0140
  rotation: -0.2502

Best score: 0.3359: : 999iter [01:32, 11.96iter/s]
Best score: 0.3359: : 1000iter [01:32, 11.96iter/s]
Best score: 0.3359: : 1001iter [01:32,  7.66iter/s]
Best score: 0.3359: : 1001iter [01:32,  7.66iter/s]
Best score: 0.3359: : 1002iter [01:32,  7.66iter/s]
Best score: 0.3359: : 1003iter [01:32,  8.60iter/s]
Best score: 0.3359: : 1003iter [01:32,  8.60iter/s]
Best score: 0.3359: : 1004iter [01:32,  8.60iter/s]
Best score: 0.3359: : 1005iter [01:32,  9.41iter/s]
Best score: 0.3359: : 1005iter [01:32,  9.41iter/s]
Best score: 0.3359: : 1006iter [01:32,  9.41iter/s]
Best score: 0.3359: : 1007iter [01:32, 10.07iter/s]
Best score: 0.3359: : 1007iter [01:33, 10.07iter/s]
Best score: 0.3359: : 1008iter [01:33, 10.07iter/s]
Best score: 0.3359: : 1009iter [01:33, 10.58iter/s]
Best score: 0.3359: : 1009iter [01:33, 10.58iter/s]
Best score: 0.3359: : 1010iter [01:33, 10.58iter/s]
Best score: 0.3359: : 1011iter [01:33, 10.80iter/s]
Best score: 0.3359: : 1011iter [01:33, 10.80iter/s]
Best score: 0.3359: : 1012iter [01:33, 10.80iter/s]
Best score: 0.3359: : 1013iter [01:33, 11.15iter/s]
Best score: 0.3359: : 1013iter [01:33, 11.15iter/s]
Best score: 0.3359: : 1014iter [01:33, 11.15iter/s]
Best score: 0.3359: : 1015iter [01:33, 11.36iter/s]
Best score: 0.3359: : 1015iter [01:33, 11.36iter/s]
Best score: 0.3359: : 1016iter [01:33, 11.36iter/s]
Best score: 0.3359: : 1017iter [01:33, 11.54iter/s]
Best score: 0.3359: : 1017iter [01:33, 11.54iter/s]
Best score: 0.3359: : 1018iter [01:33, 11.54iter/s]
Best score: 0.3359: : 1019iter [01:33, 11.68iter/s]
Best score: 0.3359: : 1019iter [01:34, 11.68iter/s]
Best score: 0.3359: : 1020iter [01:34, 11.68iter/s]
Best score: 0.3359: : 1021iter [01:34, 11.53iter/s]
Best score: 0.3359: : 1021iter [01:34, 11.53iter/s]
Best score: 0.3359: : 1022iter [01:34, 11.53iter/s]
Best score: 0.3359: : 1023iter [01:34, 11.68iter/s]
Best score: 0.3359: : 1023iter [01:34, 11.68iter/s]
Best score: 0.3359: : 1024iter [01:34, 11.68iter/s]
Best score: 0.3359: : 1025iter [01:34, 11.78iter/s]
Best score: 0.3359: : 1025iter [01:34, 11.78iter/s]
Best score: 0.3359: : 1026iter [01:34, 11.78iter/s]
Best score: 0.3359: : 1027iter [01:34, 11.86iter/s]
Best score: 0.3359: : 1027iter [01:34, 11.86iter/s]
Best score: 0.3359: : 1028iter [01:34, 11.86iter/s]
Best score: 0.3359: : 1029iter [01:34, 11.91iter/s]
Best score: 0.3359: : 1029iter [01:34, 11.91iter/s]
Best score: 0.3359: : 1030iter [01:34, 11.91iter/s]
Best score: 0.3359: : 1031iter [01:34, 11.75iter/s]
Best score: 0.3359: : 1031iter [01:35, 11.75iter/s]
Best score: 0.3359: : 1032iter [01:35, 11.75iter/s]
Best score: 0.3359: : 1033iter [01:35, 11.77iter/s]
Best score: 0.3359: : 1033iter [01:35, 11.77iter/s]
Best score: 0.3359: : 1034iter [01:35, 11.77iter/s]
Best score: 0.3359: : 1035iter [01:35, 11.84iter/s]
Best score: 0.3359: : 1035iter [01:35, 11.84iter/s]
Best score: 0.3359: : 1036iter [01:35, 11.84iter/s]
Best score: 0.3359: : 1037iter [01:35, 11.90iter/s]
Best score: 0.3359: : 1037iter [01:35, 11.90iter/s]
Best score: 0.3359: : 1038iter [01:35, 11.90iter/s]
Best score: 0.3359: : 1039iter [01:35, 11.89iter/s]
Best score: 0.3359: : 1039iter [01:35, 11.89iter/s]
Best score: 0.3359: : 1040iter [01:35, 11.89iter/s]
Best score: 0.3359: : 1041iter [01:35, 11.73iter/s]
Best score: 0.3359: : 1041iter [01:35, 11.73iter/s]
Best score: 0.3359: : 1042iter [01:35, 11.73iter/s]
Best score: 0.3359: : 1043iter [01:35, 11.83iter/s]
Best score: 0.3359: : 1043iter [01:36, 11.83iter/s]
Best score: 0.3359: : 1044iter [01:36, 11.83iter/s]
Best score: 0.3359: : 1045iter [01:36, 11.82iter/s]
Best score: 0.3359: : 1045iter [01:36, 11.82iter/s]
Best score: 0.3359: : 1046iter [01:36, 11.82iter/s]
Best score: 0.3359: : 1047iter [01:36, 11.86iter/s]
Best score: 0.3359: : 1047iter [01:36, 11.86iter/s]
Best score: 0.3359: : 1048iter [01:36, 11.86iter/s]
Best score: 0.3359: : 1049iter [01:36, 11.87iter/s]
[ITER 1050] Best: 0.3359
[PARAMS] Current best parameters:
  fx: 613.0224
  fy: 612.9226
  px: 1031.7596
  py: 757.7029
  k1: -0.13051297
  k2: 0.08122864
  k3: -0.03916709
  k4: 0.00776275
  p1: -0.02689523
  p2: -0.00725768
  p3: 0.02233465
  p4: 0.00032739
  s1: -0.0128
  s2: -0.0035
  s3: -0.0012
  s4: -0.0013
  tilt_x: -0.0348
  tilt_y: -0.0147
  scale: 3.0136
  rotation: -0.2505

Best score: 0.3359: : 1049iter [01:36, 11.87iter/s]
Best score: 0.3359: : 1050iter [01:36, 11.87iter/s]
Best score: 0.3359: : 1051iter [01:36,  7.61iter/s]
Best score: 0.3359: : 1051iter [01:37,  7.61iter/s]
Best score: 0.3359: : 1052iter [01:37,  7.61iter/s]
Best score: 0.3359: : 1053iter [01:37,  8.56iter/s]
Best score: 0.3359: : 1053iter [01:37,  8.56iter/s]
Best score: 0.3359: : 1054iter [01:37,  8.56iter/s]
Best score: 0.3359: : 1055iter [01:37,  9.38iter/s]
Best score: 0.3359: : 1055iter [01:37,  9.38iter/s]
Best score: 0.3359: : 1056iter [01:37,  9.38iter/s]
Best score: 0.3359: : 1057iter [01:37, 10.02iter/s]
Best score: 0.3359: : 1057iter [01:37, 10.02iter/s]
Best score: 0.3359: : 1058iter [01:37, 10.02iter/s]
Best score: 0.3359: : 1059iter [01:37, 10.48iter/s]
Best score: 0.3358: : 1059iter [01:37, 10.48iter/s]
Best score: 0.3358: : 1060iter [01:37, 10.48iter/s]
Best score: 0.3358: : 1061iter [01:37, 10.73iter/s]
Best score: 0.3358: : 1061iter [01:37, 10.73iter/s]
Best score: 0.3358: : 1062iter [01:37, 10.73iter/s]
Best score: 0.3358: : 1063iter [01:37, 11.04iter/s]
Best score: 0.3358: : 1063iter [01:38, 11.04iter/s]
Best score: 0.3358: : 1064iter [01:38, 11.04iter/s]
Best score: 0.3358: : 1065iter [01:38, 11.21iter/s]
Best score: 0.3358: : 1065iter [01:38, 11.21iter/s]
Best score: 0.3358: : 1066iter [01:38, 11.21iter/s]
Best score: 0.3358: : 1067iter [01:38, 11.35iter/s]
Best score: 0.3358: : 1067iter [01:38, 11.35iter/s]
Best score: 0.3358: : 1068iter [01:38, 11.35iter/s]
Best score: 0.3358: : 1069iter [01:38, 11.47iter/s]
Best score: 0.3358: : 1069iter [01:38, 11.47iter/s]
Best score: 0.3358: : 1070iter [01:38, 11.47iter/s]
Best score: 0.3358: : 1071iter [01:38, 11.43iter/s]
Best score: 0.3358: : 1071iter [01:38, 11.43iter/s]
Best score: 0.3358: : 1072iter [01:38, 11.43iter/s]
Best score: 0.3358: : 1073iter [01:38, 11.62iter/s]
Best score: 0.3358: : 1073iter [01:38, 11.62iter/s]
Best score: 0.3358: : 1074iter [01:39, 11.62iter/s]
Best score: 0.3358: : 1075iter [01:39, 11.75iter/s]
Best score: 0.3358: : 1075iter [01:39, 11.75iter/s]
Best score: 0.3358: : 1076iter [01:39, 11.75iter/s]
Best score: 0.3358: : 1077iter [01:39, 11.83iter/s]
Best score: 0.3358: : 1077iter [01:39, 11.83iter/s]
Best score: 0.3358: : 1078iter [01:39, 11.83iter/s]
Best score: 0.3358: : 1079iter [01:39, 11.88iter/s]
Best score: 0.3358: : 1079iter [01:39, 11.88iter/s]
Best score: 0.3358: : 1080iter [01:39, 11.88iter/s]
Best score: 0.3358: : 1081iter [01:39, 11.71iter/s]
Best score: 0.3358: : 1081iter [01:39, 11.71iter/s]
Best score: 0.3358: : 1082iter [01:39, 11.71iter/s]
Best score: 0.3358: : 1083iter [01:39, 11.81iter/s]
Best score: 0.3358: : 1083iter [01:39, 11.81iter/s]
Best score: 0.3358: : 1084iter [01:39, 11.81iter/s]
Best score: 0.3358: : 1085iter [01:39, 11.86iter/s]
Best score: 0.3358: : 1085iter [01:39, 11.86iter/s]
Best score: 0.3358: : 1086iter [01:40, 11.86iter/s]
Best score: 0.3358: : 1087iter [01:40, 11.81iter/s]
Best score: 0.3358: : 1087iter [01:40, 11.81iter/s]
Best score: 0.3358: : 1088iter [01:40, 11.81iter/s]
Best score: 0.3358: : 1089iter [01:40, 11.80iter/s]
Best score: 0.3358: : 1089iter [01:40, 11.80iter/s]
Best score: 0.3358: : 1090iter [01:40, 11.80iter/s]
Best score: 0.3358: : 1091iter [01:40, 11.62iter/s]
Best score: 0.3358: : 1091iter [01:40, 11.62iter/s]
Best score: 0.3358: : 1092iter [01:40, 11.62iter/s]
Best score: 0.3358: : 1093iter [01:40, 11.65iter/s]
Best score: 0.3358: : 1093iter [01:40, 11.65iter/s]
Best score: 0.3358: : 1094iter [01:40, 11.65iter/s]
Best score: 0.3358: : 1095iter [01:40, 11.76iter/s]
Best score: 0.3358: : 1095iter [01:40, 11.76iter/s]
Best score: 0.3358: : 1096iter [01:40, 11.76iter/s]
Best score: 0.3358: : 1097iter [01:40, 11.83iter/s]
Best score: 0.3358: : 1097iter [01:40, 11.83iter/s]
Best score: 0.3358: : 1098iter [01:41, 11.83iter/s]
Best score: 0.3358: : 1099iter [01:41, 11.88iter/s]
[ITER 1100] Best: 0.3358
[PARAMS] Current best parameters:
  fx: 613.0018
  fy: 612.8960
  px: 1031.7895
  py: 757.6236
  k1: -0.13051885
  k2: 0.08120197
  k3: -0.03910823
  k4: 0.00773927
  p1: -0.02698020
  p2: -0.00704275
  p3: 0.02221169
  p4: 0.00041112
  s1: -0.0128
  s2: -0.0037
  s3: -0.0011
  s4: -0.0015
  tilt_x: -0.0351
  tilt_y: -0.0144
  scale: 3.0138
  rotation: -0.2507

Best score: 0.3358: : 1099iter [01:41, 11.88iter/s]
Best score: 0.3358: : 1100iter [01:41, 10.85iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.335843 -> 0.335827

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,045 → 94,386 within 3500mm ring
  Ring polish did not improve score: 0.335827
  Success: False
  Tangential distortion: p1=-0.026980, p2=-0.007043, p3=0.022212, p4=0.000411
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.3358
[✅] Parameters copied to: /working/MDC053_W024(6)_2026-08-26/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 613.0017606704375
    fy: 612.8960321848766
    px: 1031.7894820326612
    py: 757.6236141948561
    k1: -0.1305198398701912
    k2: 0.08120158091939084
    k3: -0.039108237312704665
    k4: 0.007740412775740949
    p1: -0.02698047106183356
    p2: -0.007042979172747927
    p3: 0.022211676453938355
    p4: 0.00041099728593069055
    scale: 3.013769430061649
    rotation: -0.25069773362418624
    mmpp: 3.42707160997806

[🔄] 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, 171.45frame/s]

   🔄 2000R:   6%|▌         | 36/592 [00:00<00:03, 171.10frame/s]

   🔄 2000R:   9%|▉         | 54/592 [00:00<00:03, 171.72frame/s]

   🔄 2000R:  12%|█▏        | 72/592 [00:00<00:03, 173.33frame/s]

   🔄 2000R:  15%|█▌        | 90/592 [00:00<00:02, 174.96frame/s]

   🔄 2000R:  18%|█▊        | 108/592 [00:00<00:02, 176.03frame/s]

   🔄 2000R:  21%|██▏       | 126/592 [00:00<00:02, 176.90frame/s]

   🔄 2000R:  24%|██▍       | 144/592 [00:00<00:02, 177.61frame/s]

   🔄 2000R:  27%|██▋       | 162/592 [00:00<00:02, 178.23frame/s]

   🔄 2000R:  30%|███       | 180/592 [00:01<00:02, 177.91frame/s]

   🔄 2000R:  33%|███▎      | 198/592 [00:01<00:02, 177.11frame/s]

   🔄 2000R:  36%|███▋      | 216/592 [00:01<00:02, 176.48frame/s]

   🔄 2000R:  40%|███▉      | 234/592 [00:01<00:02, 176.34frame/s]

   🔄 2000R:  43%|████▎     | 252/592 [00:01<00:01, 176.56frame/s]

   🔄 2000R:  46%|████▌     | 270/592 [00:01<00:01, 176.81frame/s]

   🔄 2000R:  49%|████▊     | 288/592 [00:01<00:01, 177.15frame/s]

   🔄 2000R:  52%|█████▏    | 306/592 [00:01<00:02, 119.41frame/s]

   🔄 2000R:  55%|█████▍    | 325/592 [00:02<00:01, 133.52frame/s]

   🔄 2000R:  58%|█████▊    | 344/592 [00:02<00:01, 145.20frame/s]

   🔄 2000R:  61%|██████▏   | 363/592 [00:02<00:01, 154.49frame/s]

   🔄 2000R:  65%|██████▍   | 382/592 [00:02<00:01, 161.71frame/s]

   🔄 2000R:  68%|██████▊   | 401/592 [00:02<00:01, 167.01frame/s]

   🔄 2000R:  71%|███████   | 420/592 [00:02<00:01, 171.03frame/s]

   🔄 2000R:  74%|███████▍  | 438/592 [00:02<00:00, 173.40frame/s]

   🔄 2000R:  77%|███████▋  | 456/592 [00:02<00:00, 175.03frame/s]

   🔄 2000R:  80%|████████  | 474/592 [00:02<00:00, 175.40frame/s]

   🔄 2000R:  83%|████████▎ | 492/592 [00:02<00:00, 175.66frame/s]

   🔄 2000R:  86%|████████▌ | 510/592 [00:03<00:00, 174.72frame/s]

   🔄 2000R:  89%|████████▉ | 528/592 [00:03<00:00, 175.31frame/s]

   🔄 2000R:  92%|█████████▏| 546/592 [00:03<00:00, 175.08frame/s]

   🔄 2000R:  95%|█████████▌| 564/592 [00:03<00:00, 174.70frame/s]

   🔄 2000R:  98%|█████████▊| 582/592 [00:03<00:00, 174.59frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:06<00:18,  6.26s/rig]

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

   🔄 1500:   4%|▍         | 18/408 [00:00<00:02, 175.91frame/s]

   🔄 1500:   9%|▉         | 36/408 [00:00<00:02, 177.42frame/s]

   🔄 1500:  13%|█▎        | 55/408 [00:00<00:01, 182.01frame/s]

   🔄 1500:  18%|█▊        | 74/408 [00:00<00:01, 185.11frame/s]

   🔄 1500:  23%|██▎       | 94/408 [00:00<00:01, 189.25frame/s]

   🔄 1500:  28%|██▊       | 115/408 [00:00<00:01, 193.99frame/s]

   🔄 1500:  33%|███▎      | 135/408 [00:00<00:01, 193.00frame/s]

   🔄 1500:  38%|███▊      | 155/408 [00:00<00:01, 188.69frame/s]

   🔄 1500:  43%|████▎     | 174/408 [00:00<00:01, 186.96frame/s]

   🔄 1500:  47%|████▋     | 193/408 [00:01<00:01, 185.44frame/s]

   🔄 1500:  52%|█████▏    | 212/408 [00:01<00:01, 183.58frame/s]

   🔄 1500:  57%|█████▋    | 231/408 [00:01<00:00, 182.83frame/s]

   🔄 1500:  61%|██████▏   | 250/408 [00:01<00:00, 183.44frame/s]

   🔄 1500:  66%|██████▌   | 269/408 [00:01<00:00, 184.34frame/s]

   🔄 1500:  71%|███████   | 288/408 [00:01<00:00, 182.75frame/s]

   🔄 1500:  75%|███████▌  | 307/408 [00:01<00:00, 181.08frame/s]

   🔄 1500:  80%|███████▉  | 326/408 [00:01<00:00, 181.88frame/s]

   🔄 1500:  85%|████████▍ | 345/408 [00:01<00:00, 182.49frame/s]

   🔄 1500:  89%|████████▉ | 364/408 [00:01<00:00, 183.01frame/s]

   🔄 1500:  94%|█████████▍| 383/408 [00:02<00:00, 182.19frame/s]

   🔄 1500:  99%|█████████▊| 402/408 [00:02<00:00, 179.66frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:10<00:09,  4.86s/rig]

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

   🔄 1000:   7%|▋         | 18/241 [00:00<00:01, 179.72frame/s]

   🔄 1000:  15%|█▌        | 37/241 [00:00<00:01, 183.65frame/s]

   🔄 1000:  23%|██▎       | 56/241 [00:00<00:00, 186.04frame/s]

   🔄 1000:  31%|███       | 75/241 [00:00<00:00, 185.56frame/s]

   🔄 1000:  39%|███▉      | 94/241 [00:00<00:00, 182.50frame/s]

   🔄 1000:  47%|████▋     | 113/241 [00:00<00:00, 182.10frame/s]

   🔄 1000:  55%|█████▍    | 132/241 [00:00<00:00, 181.43frame/s]

   🔄 1000:  63%|██████▎   | 151/241 [00:00<00:00, 181.45frame/s]

   🔄 1000:  71%|███████   | 170/241 [00:00<00:00, 181.37frame/s]

   🔄 1000:  79%|███████▉  | 190/241 [00:01<00:00, 185.48frame/s]

   🔄 1000:  87%|████████▋ | 210/241 [00:01<00:00, 187.08frame/s]

   🔄 1000:  95%|█████████▌| 229/241 [00:01<00:00, 187.35frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:12<00:03,  3.72s/rig]

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

   🔄 2000L:   3%|▎         | 18/561 [00:00<00:03, 172.67frame/s]

   🔄 2000L:   6%|▋         | 36/561 [00:00<00:03, 174.28frame/s]

   🔄 2000L:  10%|▉         | 54/561 [00:00<00:02, 174.88frame/s]

   🔄 2000L:  13%|█▎        | 72/561 [00:00<00:02, 175.74frame/s]

   🔄 2000L:  16%|█▌        | 90/561 [00:00<00:02, 176.37frame/s]

   🔄 2000L:  19%|█▉        | 109/561 [00:00<00:02, 179.57frame/s]

   🔄 2000L:  23%|██▎       | 128/561 [00:00<00:02, 182.42frame/s]

   🔄 2000L:  26%|██▌       | 147/561 [00:00<00:02, 180.84frame/s]

   🔄 2000L:  30%|██▉       | 166/561 [00:00<00:02, 180.47frame/s]

   🔄 2000L:  33%|███▎      | 185/561 [00:01<00:02, 180.35frame/s]

   🔄 2000L:  36%|███▋      | 204/561 [00:01<00:01, 180.70frame/s]

   🔄 2000L:  40%|███▉      | 223/561 [00:01<00:01, 181.02frame/s]

   🔄 2000L:  43%|████▎     | 242/561 [00:01<00:01, 181.54frame/s]

   🔄 2000L:  47%|████▋     | 261/561 [00:01<00:01, 182.06frame/s]

   🔄 2000L:  50%|████▉     | 280/561 [00:01<00:01, 182.21frame/s]

   🔄 2000L:  53%|█████▎    | 299/561 [00:01<00:01, 182.28frame/s]

   🔄 2000L:  57%|█████▋    | 318/561 [00:01<00:01, 182.15frame/s]

   🔄 2000L:  60%|██████    | 337/561 [00:01<00:01, 182.06frame/s]

   🔄 2000L:  63%|██████▎   | 356/561 [00:01<00:01, 182.06frame/s]

   🔄 2000L:  67%|██████▋   | 375/561 [00:02<00:01, 181.59frame/s]

   🔄 2000L:  70%|███████   | 394/561 [00:02<00:00, 180.48frame/s]

   🔄 2000L:  74%|███████▎  | 413/561 [00:02<00:00, 179.85frame/s]

   🔄 2000L:  77%|███████▋  | 431/561 [00:02<00:00, 179.47frame/s]

   🔄 2000L:  80%|████████  | 449/561 [00:02<00:00, 179.03frame/s]

   🔄 2000L:  83%|████████▎ | 467/561 [00:02<00:00, 178.61frame/s]

   🔄 2000L:  86%|████████▋ | 485/561 [00:02<00:00, 178.81frame/s]

   🔄 2000L:  90%|████████▉ | 503/561 [00:02<00:00, 178.78frame/s]

   🔄 2000L:  93%|█████████▎| 521/561 [00:02<00:00, 178.46frame/s]

   🔄 2000L:  96%|█████████▌| 539/561 [00:02<00:00, 177.86frame/s]

   🔄 2000L:  99%|█████████▉| 557/561 [00:03<00:00, 177.32frame/s]

                                                                  
📁 Rigs: 100%|██████████| 4/4 [00:18<00:00,  4.45s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:18<00:00,  4.52s/rig]
[✅] Saved PTDs: /working/MDC053_W024(6)_2026-08-26/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, 172.70frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.72frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 176.97frame/s]

   🔄 2000R:  73%|███████▎  | 73/100 [00:00<00:00, 178.71frame/s]

   🔄 2000R:  91%|█████████ | 91/100 [00:00<00:00, 178.12frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.09rig/s]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 174.81frame/s]

   🔄 1500:  37%|███▋      | 37/100 [00:00<00:00, 181.91frame/s]

   🔄 1500:  56%|█████▌    | 56/100 [00:00<00:00, 179.71frame/s]

   🔄 1500:  75%|███████▌  | 75/100 [00:00<00:00, 180.47frame/s]

   🔄 1500:  94%|█████████▍| 94/100 [00:00<00:00, 181.02frame/s]

                                                                
📁 Rigs:  50%|█████     | 2/4 [00:01<00:02,  1.01s/rig]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 185.29frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 185.19frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 183.96frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 184.88frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 185.76frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.05rig/s]

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 171.08frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 175.39frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 176.51frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 176.83frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 176.52frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.01s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.01rig/s]
[✅] Saved PTDs: /working/MDC053_W024(6)_2026-08-26/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%|▎         | 96079/3080448 [00:00<00:03, 960784.04px/s]
📤 Writing LUT:   6%|▋         | 200217/3080448 [00:00<00:02, 1008191.05px/s]
📤 Writing LUT:  10%|▉         | 301037/3080448 [00:00<00:02, 1003272.89px/s]
📤 Writing LUT:  13%|█▎        | 401368/3080448 [00:00<00:02, 987277.57px/s] 
📤 Writing LUT:  16%|█▌        | 500132/3080448 [00:00<00:02, 959000.12px/s]
📤 Writing LUT:  19%|█▉        | 596162/3080448 [00:00<00:02, 930776.93px/s]
📤 Writing LUT:  22%|██▏       | 689412/3080448 [00:00<00:02, 913271.51px/s]
📤 Writing LUT:  25%|██▌       | 780859/3080448 [00:00<00:02, 901991.48px/s]
📤 Writing LUT:  28%|██▊       | 871126/3080448 [00:00<00:02, 891755.41px/s]
📤 Writing LUT:  31%|███       | 960338/3080448 [00:01<00:02, 886590.53px/s]
📤 Writing LUT:  34%|███▍      | 1049012/3080448 [00:01<00:02, 884437.13px/s]
📤 Writing LUT:  37%|███▋      | 1137461/3080448 [00:01<00:02, 882229.72px/s]
📤 Writing LUT:  40%|███▉      | 1225685/3080448 [00:01<00:02, 880189.61px/s]
📤 Writing LUT:  43%|████▎     | 1313702/3080448 [00:01<00:02, 876495.72px/s]
📤 Writing LUT:  45%|████▌     | 1401475/3080448 [00:01<00:01, 876862.27px/s]
📤 Writing LUT:  48%|████▊     | 1489237/3080448 [00:01<00:01, 877088.03px/s]
📤 Writing LUT:  51%|█████     | 1576945/3080448 [00:01<00:01, 875434.48px/s]
📤 Writing LUT:  54%|█████▍    | 1664488/3080448 [00:01<00:01, 873004.46px/s]
📤 Writing LUT:  57%|█████▋    | 1751789/3080448 [00:01<00:01, 872452.94px/s]
📤 Writing LUT:  60%|█████▉    | 1839584/3080448 [00:02<00:01, 874095.58px/s]
📤 Writing LUT:  63%|██████▎   | 1928154/3080448 [00:02<00:01, 877564.98px/s]
📤 Writing LUT:  65%|██████▌   | 2015912/3080448 [00:02<00:01, 874529.04px/s]
📤 Writing LUT:  68%|██████▊   | 2103458/3080448 [00:02<00:01, 874806.29px/s]
📤 Writing LUT:  71%|███████   | 2191382/3080448 [00:02<00:01, 876131.95px/s]
📤 Writing LUT:  74%|███████▍  | 2279891/3080448 [00:02<00:00, 878814.10px/s]
📤 Writing LUT:  77%|███████▋  | 2368323/3080448 [00:02<00:00, 880460.88px/s]
📤 Writing LUT:  80%|███████▉  | 2456371/3080448 [00:02<00:00, 878158.74px/s]
📤 Writing LUT:  83%|████████▎ | 2545043/3080448 [00:02<00:00, 880720.42px/s]
📤 Writing LUT:  85%|████████▌ | 2633781/3080448 [00:02<00:00, 882702.50px/s]
📤 Writing LUT:  88%|████████▊ | 2722620/3080448 [00:03<00:00, 884404.39px/s]
📤 Writing LUT:  91%|█████████▏| 2811702/3080448 [00:03<00:00, 886325.15px/s]
📤 Writing LUT:  94%|█████████▍| 2900336/3080448 [00:03<00:00, 886300.71px/s]
📤 Writing LUT:  97%|█████████▋| 2988967/3080448 [00:03<00:00, 884674.46px/s]
📤 Writing LUT: 100%|█████████▉| 3077628/3080448 [00:03<00:00, 885251.92px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 892668.17px/s]
[✅] LUT written to: /working/MDC053_W024(6)_2026-08-26/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC053_W024(6)_2026-08-26' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC053_W024(6)_2026-08-26/calibration/MDC053_W024(6)_2026-08-26_unknown.lut

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

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

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

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

   🔥 2000R:   1%|▏         | 8/592 [00:00<00:08, 72.37frame/s]

   🔥 2000R:   3%|▎         | 16/592 [00:00<00:07, 76.00frame/s]

   🔥 2000R:   4%|▍         | 24/592 [00:00<00:07, 77.27frame/s]

   🔥 2000R:   5%|▌         | 32/592 [00:00<00:07, 77.66frame/s]

   🔥 2000R:   7%|▋         | 40/592 [00:00<00:07, 77.46frame/s]

   🔥 2000R:   8%|▊         | 48/592 [00:00<00:06, 77.74frame/s]

   🔥 2000R:   9%|▉         | 56/592 [00:00<00:06, 78.32frame/s]

   🔥 2000R:  11%|█         | 65/592 [00:00<00:06, 79.00frame/s]

   🔥 2000R:  12%|█▎        | 74/592 [00:00<00:06, 79.96frame/s]

   🔥 2000R:  14%|█▍        | 83/592 [00:01<00:06, 81.80frame/s]

   🔥 2000R:  16%|█▌        | 92/592 [00:01<00:05, 83.38frame/s]

   🔥 2000R:  17%|█▋        | 101/592 [00:01<00:05, 84.84frame/s]

   🔥 2000R:  19%|█▊        | 110/592 [00:01<00:05, 86.24frame/s]

   🔥 2000R:  20%|██        | 120/592 [00:01<00:05, 89.05frame/s]

   🔥 2000R:  22%|██▏       | 130/592 [00:01<00:05, 89.53frame/s]

   🔥 2000R:  23%|██▎       | 139/592 [00:01<00:05, 88.56frame/s]

   🔥 2000R:  25%|██▌       | 149/592 [00:01<00:04, 89.57frame/s]

   🔥 2000R:  27%|██▋       | 159/592 [00:01<00:04, 91.06frame/s]

   🔥 2000R:  29%|██▊       | 169/592 [00:01<00:04, 92.09frame/s]

   🔥 2000R:  30%|███       | 179/592 [00:02<00:04, 92.62frame/s]

   🔥 2000R:  32%|███▏      | 189/592 [00:02<00:04, 92.20frame/s]

   🔥 2000R:  34%|███▎      | 199/592 [00:02<00:04, 91.40frame/s]

   🔥 2000R:  35%|███▌      | 209/592 [00:02<00:04, 91.23frame/s]

   🔥 2000R:  37%|███▋      | 219/592 [00:02<00:04, 90.49frame/s]

   🔥 2000R:  39%|███▊      | 229/592 [00:02<00:04, 89.83frame/s]

   🔥 2000R:  40%|████      | 239/592 [00:02<00:03, 89.95frame/s]

   🔥 2000R:  42%|████▏     | 248/592 [00:02<00:03, 89.94frame/s]

   🔥 2000R:  44%|████▎     | 258/592 [00:02<00:03, 90.14frame/s]

   🔥 2000R:  45%|████▌     | 268/592 [00:03<00:03, 90.23frame/s]

   🔥 2000R:  47%|████▋     | 278/592 [00:03<00:03, 90.40frame/s]

   🔥 2000R:  49%|████▊     | 288/592 [00:03<00:03, 90.56frame/s]

   🔥 2000R:  50%|█████     | 298/592 [00:03<00:03, 90.00frame/s]

   🔥 2000R:  52%|█████▏    | 308/592 [00:03<00:03, 90.97frame/s]

   🔥 2000R:  54%|█████▎    | 318/592 [00:03<00:03, 88.93frame/s]

   🔥 2000R:  55%|█████▌    | 327/592 [00:03<00:02, 89.19frame/s]

   🔥 2000R:  57%|█████▋    | 337/592 [00:03<00:02, 90.66frame/s]

   🔥 2000R:  59%|█████▊    | 347/592 [00:03<00:02, 90.47frame/s]

   🔥 2000R:  60%|██████    | 357/592 [00:04<00:02, 90.39frame/s]

   🔥 2000R:  62%|██████▏   | 367/592 [00:04<00:02, 90.05frame/s]

   🔥 2000R:  64%|██████▎   | 377/592 [00:04<00:02, 89.84frame/s]

   🔥 2000R:  65%|██████▌   | 386/592 [00:04<00:02, 89.39frame/s]

   🔥 2000R:  67%|██████▋   | 395/592 [00:04<00:02, 88.87frame/s]

   🔥 2000R:  68%|██████▊   | 405/592 [00:04<00:02, 89.64frame/s]

   🔥 2000R:  70%|███████   | 415/592 [00:04<00:01, 90.57frame/s]

   🔥 2000R:  72%|███████▏  | 425/592 [00:04<00:01, 91.51frame/s]

   🔥 2000R:  73%|███████▎  | 435/592 [00:04<00:01, 91.60frame/s]

   🔥 2000R:  75%|███████▌  | 445/592 [00:05<00:01, 91.13frame/s]

   🔥 2000R:  77%|███████▋  | 455/592 [00:05<00:01, 91.13frame/s]

   🔥 2000R:  79%|███████▊  | 465/592 [00:05<00:01, 91.37frame/s]

   🔥 2000R:  80%|████████  | 475/592 [00:05<00:01, 88.97frame/s]

   🔥 2000R:  82%|████████▏ | 485/592 [00:05<00:01, 90.03frame/s]

   🔥 2000R:  84%|████████▎ | 495/592 [00:05<00:01, 89.36frame/s]

   🔥 2000R:  85%|████████▌ | 504/592 [00:05<00:00, 88.64frame/s]

   🔥 2000R:  87%|████████▋ | 513/592 [00:05<00:00, 87.25frame/s]

   🔥 2000R:  88%|████████▊ | 522/592 [00:05<00:00, 85.79frame/s]

   🔥 2000R:  90%|████████▉ | 531/592 [00:06<00:00, 85.52frame/s]

   🔥 2000R:  91%|█████████ | 540/592 [00:06<00:00, 84.30frame/s]

   🔥 2000R:  93%|█████████▎| 549/592 [00:06<00:00, 82.76frame/s]

   🔥 2000R:  94%|█████████▍| 558/592 [00:06<00:00, 81.14frame/s]

   🔥 2000R:  96%|█████████▌| 567/592 [00:06<00:00, 80.26frame/s]

   🔥 2000R:  97%|█████████▋| 576/592 [00:06<00:00, 80.20frame/s]

   🔥 2000R:  99%|█████████▉| 585/592 [00:06<00:00, 79.79frame/s]

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

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:25,  8.63s/rig]

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

   🔥 1500:   2%|▏         | 9/408 [00:00<00:04, 83.07frame/s]

   🔥 1500:   4%|▍         | 18/408 [00:00<00:04, 85.31frame/s]

   🔥 1500:   7%|▋         | 27/408 [00:00<00:04, 87.15frame/s]

   🔥 1500:   9%|▉         | 37/408 [00:00<00:04, 89.37frame/s]

   🔥 1500:  12%|█▏        | 47/408 [00:00<00:03, 91.59frame/s]

   🔥 1500:  14%|█▍        | 57/408 [00:00<00:03, 90.68frame/s]

   🔥 1500:  16%|█▋        | 67/408 [00:00<00:03, 91.88frame/s]

   🔥 1500:  19%|█▉        | 77/408 [00:00<00:03, 93.55frame/s]

   🔥 1500:  21%|██▏       | 87/408 [00:00<00:03, 94.39frame/s]

   🔥 1500:  24%|██▍       | 97/408 [00:01<00:03, 92.58frame/s]

   🔥 1500:  26%|██▌       | 107/408 [00:01<00:03, 90.77frame/s]

   🔥 1500:  29%|██▉       | 118/408 [00:01<00:03, 94.72frame/s]

   🔥 1500:  31%|███▏      | 128/408 [00:01<00:03, 92.10frame/s]

   🔥 1500:  34%|███▍      | 138/408 [00:01<00:02, 90.01frame/s]

   🔥 1500:  36%|███▋      | 148/408 [00:01<00:02, 88.74frame/s]

   🔥 1500:  38%|███▊      | 157/408 [00:01<00:02, 86.74frame/s]

   🔥 1500:  41%|████      | 166/408 [00:01<00:02, 86.48frame/s]

   🔥 1500:  43%|████▎     | 175/408 [00:01<00:02, 86.58frame/s]

   🔥 1500:  45%|████▌     | 185/408 [00:02<00:02, 88.39frame/s]

   🔥 1500:  48%|████▊     | 194/408 [00:02<00:02, 88.22frame/s]

   🔥 1500:  50%|████▉     | 203/408 [00:02<00:02, 85.99frame/s]

   🔥 1500:  52%|█████▏    | 212/408 [00:02<00:02, 83.53frame/s]

   🔥 1500:  54%|█████▍    | 221/408 [00:02<00:02, 81.79frame/s]

   🔥 1500:  56%|█████▋    | 230/408 [00:02<00:02, 81.43frame/s]

   🔥 1500:  59%|█████▊    | 239/408 [00:02<00:02, 81.33frame/s]

   🔥 1500:  61%|██████    | 248/408 [00:02<00:01, 80.31frame/s]

   🔥 1500:  63%|██████▎   | 257/408 [00:02<00:01, 80.23frame/s]

   🔥 1500:  65%|██████▌   | 266/408 [00:03<00:01, 81.01frame/s]

   🔥 1500:  67%|██████▋   | 275/408 [00:03<00:01, 80.83frame/s]

   🔥 1500:  70%|██████▉   | 284/408 [00:03<00:01, 80.72frame/s]

   🔥 1500:  72%|███████▏  | 293/408 [00:03<00:01, 80.51frame/s]

   🔥 1500:  74%|███████▍  | 302/408 [00:03<00:01, 80.27frame/s]

   🔥 1500:  76%|███████▌  | 311/408 [00:03<00:01, 81.23frame/s]

   🔥 1500:  78%|███████▊  | 320/408 [00:03<00:01, 81.68frame/s]

   🔥 1500:  81%|████████  | 329/408 [00:03<00:00, 82.31frame/s]

   🔥 1500:  83%|████████▎ | 338/408 [00:03<00:00, 82.74frame/s]

   🔥 1500:  85%|████████▌ | 347/408 [00:04<00:00, 83.66frame/s]

   🔥 1500:  88%|████████▊ | 357/408 [00:04<00:00, 86.99frame/s]

   🔥 1500:  90%|████████▉ | 367/408 [00:04<00:00, 88.27frame/s]

   🔥 1500:  92%|█████████▏| 377/408 [00:04<00:00, 89.62frame/s]

   🔥 1500:  95%|█████████▍| 386/408 [00:04<00:00, 89.35frame/s]

   🔥 1500:  97%|█████████▋| 396/408 [00:04<00:00, 89.90frame/s]

   🔥 1500:  99%|█████████▉| 405/408 [00:04<00:00, 89.92frame/s]

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

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:14<00:14,  7.14s/rig]

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

   🔥 1000:   3%|▎         | 8/241 [00:00<00:02, 79.72frame/s]

   🔥 1000:   7%|▋         | 17/241 [00:00<00:02, 82.83frame/s]

   🔥 1000:  11%|█         | 26/241 [00:00<00:02, 85.45frame/s]

   🔥 1000:  15%|█▍        | 36/241 [00:00<00:02, 88.16frame/s]

   🔥 1000:  19%|█▉        | 46/241 [00:00<00:02, 90.72frame/s]

   🔥 1000:  23%|██▎       | 56/241 [00:00<00:02, 89.94frame/s]

   🔥 1000:  27%|██▋       | 65/241 [00:00<00:01, 89.75frame/s]

   🔥 1000:  31%|███       | 75/241 [00:00<00:01, 90.55frame/s]

   🔥 1000:  35%|███▌      | 85/241 [00:00<00:01, 88.07frame/s]

   🔥 1000:  39%|███▉      | 94/241 [00:01<00:01, 85.91frame/s]

   🔥 1000:  43%|████▎     | 103/241 [00:01<00:01, 84.30frame/s]

   🔥 1000:  46%|████▋     | 112/241 [00:01<00:01, 85.20frame/s]

   🔥 1000:  50%|█████     | 121/241 [00:01<00:01, 85.99frame/s]

   🔥 1000:  54%|█████▍    | 130/241 [00:01<00:01, 85.03frame/s]

   🔥 1000:  58%|█████▊    | 139/241 [00:01<00:01, 84.01frame/s]

   🔥 1000:  61%|██████▏   | 148/241 [00:01<00:01, 82.46frame/s]

   🔥 1000:  65%|██████▌   | 157/241 [00:01<00:01, 82.52frame/s]

   🔥 1000:  69%|██████▉   | 166/241 [00:01<00:00, 83.24frame/s]

   🔥 1000:  73%|███████▎  | 175/241 [00:02<00:00, 83.31frame/s]

   🔥 1000:  76%|███████▋  | 184/241 [00:02<00:00, 84.90frame/s]

   🔥 1000:  80%|████████  | 193/241 [00:02<00:00, 84.58frame/s]

   🔥 1000:  84%|████████▍ | 202/241 [00:02<00:00, 85.51frame/s]

   🔥 1000:  88%|████████▊ | 211/241 [00:02<00:00, 85.19frame/s]

   🔥 1000:  91%|█████████▏| 220/241 [00:02<00:00, 85.20frame/s]

   🔥 1000:  95%|█████████▌| 229/241 [00:02<00:00, 85.30frame/s]

   🔥 1000:  99%|█████████▉| 238/241 [00:02<00:00, 85.63frame/s]

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

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:18<00:05,  5.49s/rig]

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

   🔥 2000L:   1%|▏         | 8/561 [00:00<00:07, 76.44frame/s]

   🔥 2000L:   3%|▎         | 17/561 [00:00<00:06, 79.67frame/s]

   🔥 2000L:   4%|▍         | 25/561 [00:00<00:06, 79.72frame/s]

   🔥 2000L:   6%|▌         | 33/561 [00:00<00:06, 79.26frame/s]

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   🔥 2000L:   9%|▉         | 51/561 [00:00<00:06, 80.31frame/s]

   🔥 2000L:  11%|█         | 60/561 [00:00<00:06, 81.44frame/s]

   🔥 2000L:  12%|█▏        | 69/561 [00:00<00:05, 83.70frame/s]

   🔥 2000L:  14%|█▍        | 79/561 [00:00<00:05, 86.91frame/s]

   🔥 2000L:  16%|█▌        | 88/561 [00:01<00:05, 87.03frame/s]

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   🔥 2000L:  32%|███▏      | 181/561 [00:02<00:04, 91.32frame/s]

   🔥 2000L:  34%|███▍      | 191/561 [00:02<00:04, 91.69frame/s]

   🔥 2000L:  36%|███▌      | 201/561 [00:02<00:03, 92.44frame/s]

   🔥 2000L:  38%|███▊      | 211/561 [00:02<00:03, 92.92frame/s]

   🔥 2000L:  39%|███▉      | 221/561 [00:02<00:03, 93.14frame/s]

   🔥 2000L:  41%|████      | 231/561 [00:02<00:03, 93.06frame/s]

   🔥 2000L:  43%|████▎     | 241/561 [00:02<00:03, 92.31frame/s]

   🔥 2000L:  45%|████▍     | 251/561 [00:02<00:03, 91.97frame/s]

   🔥 2000L:  47%|████▋     | 261/561 [00:02<00:03, 92.39frame/s]

   🔥 2000L:  48%|████▊     | 271/561 [00:02<00:03, 93.07frame/s]

   🔥 2000L:  50%|█████     | 281/561 [00:03<00:03, 90.39frame/s]

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   🔥 2000L:  53%|█████▎    | 300/561 [00:03<00:03, 86.34frame/s]

   🔥 2000L:  55%|█████▌    | 309/561 [00:03<00:02, 84.79frame/s]

   🔥 2000L:  57%|█████▋    | 318/561 [00:03<00:02, 83.89frame/s]

   🔥 2000L:  58%|█████▊    | 327/561 [00:03<00:02, 83.03frame/s]

   🔥 2000L:  60%|█████▉    | 336/561 [00:03<00:02, 83.14frame/s]

   🔥 2000L:  61%|██████▏   | 345/561 [00:03<00:02, 82.86frame/s]

   🔥 2000L:  63%|██████▎   | 354/561 [00:04<00:02, 82.69frame/s]

   🔥 2000L:  65%|██████▍   | 363/561 [00:04<00:02, 82.34frame/s]

   🔥 2000L:  66%|██████▋   | 372/561 [00:04<00:02, 81.29frame/s]

   🔥 2000L:  68%|██████▊   | 381/561 [00:04<00:02, 80.28frame/s]

   🔥 2000L:  70%|██████▉   | 390/561 [00:04<00:02, 78.85frame/s]

   🔥 2000L:  71%|███████   | 398/561 [00:04<00:02, 78.68frame/s]

   🔥 2000L:  72%|███████▏  | 406/561 [00:04<00:01, 78.77frame/s]

   🔥 2000L:  74%|███████▍  | 415/561 [00:04<00:01, 79.26frame/s]

   🔥 2000L:  75%|███████▌  | 423/561 [00:04<00:01, 79.04frame/s]

   🔥 2000L:  77%|███████▋  | 432/561 [00:04<00:01, 79.92frame/s]

   🔥 2000L:  79%|███████▊  | 441/561 [00:05<00:01, 80.89frame/s]

   🔥 2000L:  80%|████████  | 450/561 [00:05<00:01, 82.10frame/s]

   🔥 2000L:  82%|████████▏ | 459/561 [00:05<00:01, 82.91frame/s]

   🔥 2000L:  83%|████████▎ | 468/561 [00:05<00:01, 82.47frame/s]

   🔥 2000L:  85%|████████▌ | 477/561 [00:05<00:01, 82.77frame/s]

   🔥 2000L:  87%|████████▋ | 486/561 [00:05<00:00, 83.73frame/s]

   🔥 2000L:  88%|████████▊ | 495/561 [00:05<00:00, 84.37frame/s]

   🔥 2000L:  90%|████████▉ | 504/561 [00:05<00:00, 85.64frame/s]

   🔥 2000L:  92%|█████████▏| 514/561 [00:05<00:00, 88.77frame/s]

   🔥 2000L:  93%|█████████▎| 523/561 [00:06<00:00, 87.89frame/s]

   🔥 2000L:  95%|█████████▍| 532/561 [00:06<00:00, 85.68frame/s]

   🔥 2000L:  96%|█████████▋| 541/561 [00:06<00:00, 83.47frame/s]

   🔥 2000L:  98%|█████████▊| 550/561 [00:06<00:00, 82.75frame/s]

   🔥 2000L: 100%|█████████▉| 559/561 [00:06<00:00, 82.05frame/s]

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

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:26<00:00,  6.61s/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/calibration/debug/5_heatmap
[🏁] Finished processing MDC053_W024(6)_2026-08-26


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