2026-09-11T00:26:19 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC050_W019(6)_09-09-2026 ===
2026-09-11T00:26:19 - INFO: Camera ID: 6396146
2026-09-11T00:26:19 - INFO: Wand ID: 
2026-09-11T00:26:19 - INFO: Recorded At: 2026-09-09T13:20:49Z

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                        Step 1: Digitization                       
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[🔄] Full PTD mode: Processing ALL images then creating calibration subset
[📸] Digitizing ALL images...
[📸] Full dataset mode: Processing ALL images (no debug visualizations)
[INFO] Found 4 las0.zip files to process

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 777 stationary frames, 584 remain


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→ 2000L (584 images) Phase 1:  60%|██████    | 351/584 [00:05<00:02, 87.10it/s]

→ 2000L (584 images) Phase 1:  62%|██████▏   | 361/584 [00:05<00:03, 70.76it/s]

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→ 2000L (584 images) Phase 1:  67%|██████▋   | 393/584 [00:05<00:02, 69.34it/s]

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→ 2000L (584 images) Phase 1:  73%|███████▎  | 425/584 [00:06<00:02, 67.80it/s]

→ 2000L (584 images) Phase 1:  74%|███████▍  | 433/584 [00:06<00:02, 68.03it/s]

→ 2000L (584 images) Phase 1:  77%|███████▋  | 448/584 [00:06<00:01, 74.43it/s]

→ 2000L (584 images) Phase 1:  78%|███████▊  | 456/584 [00:06<00:01, 69.81it/s]

→ 2000L (584 images) Phase 1:  79%|███████▉  | 464/584 [00:06<00:01, 71.54it/s]

→ 2000L (584 images) Phase 1:  82%|████████▏ | 478/584 [00:06<00:01, 86.75it/s]

→ 2000L (584 images) Phase 1:  84%|████████▎ | 488/584 [00:07<00:01, 68.23it/s]

→ 2000L (584 images) Phase 1:  85%|████████▌ | 497/584 [00:07<00:01, 69.78it/s]

→ 2000L (584 images) Phase 1:  88%|████████▊ | 511/584 [00:07<00:00, 85.00it/s]

→ 2000L (584 images) Phase 1:  89%|████████▉ | 521/584 [00:07<00:00, 69.00it/s]

→ 2000L (584 images) Phase 1:  91%|█████████ | 529/584 [00:07<00:00, 69.64it/s]

→ 2000L (584 images) Phase 1:  93%|█████████▎| 543/584 [00:07<00:00, 80.47it/s]

→ 2000L (584 images) Phase 1:  95%|█████████▍| 552/584 [00:08<00:00, 69.30it/s]

→ 2000L (584 images) Phase 1:  96%|█████████▌| 562/584 [00:08<00:00, 72.52it/s]

→ 2000L (584 images) Phase 1:  99%|█████████▊| 576/584 [00:08<00:00, 81.72it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/584 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/584 [00:00<01:40,  5.78it/s]

→ 2000L Phase 2: corners:   3%|▎         | 15/584 [00:00<00:08, 65.57it/s]

→ 2000L Phase 2: corners:   5%|▍         | 28/584 [00:00<00:06, 87.99it/s]

→ 2000L Phase 2: corners:   7%|▋         | 43/584 [00:00<00:04, 109.30it/s]

→ 2000L Phase 2: corners:  10%|▉         | 56/584 [00:00<00:04, 112.69it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 70/584 [00:00<00:04, 115.24it/s]

→ 2000L Phase 2: corners:  14%|█▍        | 82/584 [00:00<00:04, 112.66it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 100/584 [00:00<00:03, 131.33it/s]

→ 2000L Phase 2: corners:  20%|█▉        | 114/584 [00:01<00:03, 122.68it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 127/584 [00:01<00:03, 117.49it/s]

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→ 2000L Phase 2: corners:  30%|██▉       | 174/584 [00:01<00:02, 136.76it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 190/584 [00:01<00:02, 142.80it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 208/584 [00:01<00:02, 150.21it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 224/584 [00:01<00:02, 144.15it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 243/584 [00:01<00:02, 153.81it/s]

→ 2000L Phase 2: corners:  44%|████▍     | 259/584 [00:02<00:02, 141.25it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 274/584 [00:02<00:02, 133.54it/s]

→ 2000L Phase 2: corners:  50%|█████     | 292/584 [00:02<00:02, 142.72it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 307/584 [00:02<00:02, 136.01it/s]

→ 2000L Phase 2: corners:  55%|█████▌    | 324/584 [00:02<00:01, 143.08it/s]

→ 2000L Phase 2: corners:  58%|█████▊    | 341/584 [00:02<00:01, 149.51it/s]

→ 2000L Phase 2: corners:  61%|██████    | 357/584 [00:02<00:01, 150.14it/s]

→ 2000L Phase 2: corners:  64%|██████▍   | 375/584 [00:02<00:01, 157.45it/s]

→ 2000L Phase 2: corners:  67%|██████▋   | 393/584 [00:02<00:01, 161.62it/s]

→ 2000L Phase 2: corners:  70%|███████   | 410/584 [00:03<00:01, 157.01it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 426/584 [00:03<00:01, 152.20it/s]

→ 2000L Phase 2: corners:  76%|███████▌  | 443/584 [00:03<00:00, 152.84it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 460/584 [00:03<00:00, 156.93it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 478/584 [00:03<00:00, 157.24it/s]

→ 2000L Phase 2: corners:  85%|████████▌ | 497/584 [00:03<00:00, 163.89it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 514/584 [00:03<00:00, 161.50it/s]

→ 2000L Phase 2: corners:  91%|█████████▏| 533/584 [00:03<00:00, 165.17it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 550/584 [00:03<00:00, 158.67it/s]

                                                                            [PASS2] Frame 0000893: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000909: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000893: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000893: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Summary: 1 frames fixed, 3 untrusted, 584 total


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→ 2000L Phase 3: finalize:  62%|██████▏   | 361/584 [00:06<00:04, 54.66it/s]

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→ 2000L Phase 3: finalize:  64%|██████▍   | 373/584 [00:07<00:03, 54.89it/s]

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→ 2000L Phase 3: finalize:  66%|██████▌   | 385/584 [00:07<00:03, 54.95it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 391/584 [00:07<00:03, 54.88it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 397/584 [00:07<00:03, 54.83it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 403/584 [00:07<00:03, 54.43it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 409/584 [00:07<00:03, 54.51it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 415/584 [00:07<00:03, 54.70it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 421/584 [00:07<00:02, 54.78it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 427/584 [00:08<00:02, 54.80it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 433/584 [00:08<00:02, 54.85it/s]

→ 2000L Phase 3: finalize:  75%|███████▌  | 439/584 [00:08<00:02, 54.81it/s]

→ 2000L Phase 3: finalize:  76%|███████▌  | 445/584 [00:08<00:02, 54.86it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 451/584 [00:08<00:02, 55.01it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 457/584 [00:08<00:02, 55.03it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 463/584 [00:08<00:02, 55.16it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 469/584 [00:08<00:02, 55.19it/s]

→ 2000L Phase 3: finalize:  81%|████████▏ | 475/584 [00:08<00:01, 55.20it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 481/584 [00:09<00:01, 55.23it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 487/584 [00:09<00:01, 55.14it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 493/584 [00:09<00:01, 55.17it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 499/584 [00:09<00:01, 54.95it/s]

→ 2000L Phase 3: finalize:  86%|████████▋ | 505/584 [00:09<00:01, 54.43it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 511/584 [00:09<00:01, 54.35it/s]

→ 2000L Phase 3: finalize:  89%|████████▊ | 517/584 [00:09<00:01, 54.40it/s]

→ 2000L Phase 3: finalize:  90%|████████▉ | 523/584 [00:09<00:01, 54.39it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 529/584 [00:09<00:01, 54.35it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 535/584 [00:10<00:00, 54.21it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 541/584 [00:10<00:00, 54.22it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 547/584 [00:10<00:00, 54.21it/s]

→ 2000L Phase 3: finalize:  95%|█████████▍| 553/584 [00:10<00:00, 54.22it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 559/584 [00:10<00:00, 54.15it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 565/584 [00:10<00:00, 53.71it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 571/584 [00:10<00:00, 53.72it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 577/584 [00:10<00:00, 53.24it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 583/584 [00:10<00:00, 52.84it/s]

                                                                            
[TIMING] 2000L — 584 frames
  Phase 1  radial detect   (parallel)  :   8.46s  (14.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.04s  (6.9 ms/frame)
  Phase 2b corner fix      (sequential):   0.39s
  Phase 3  finalize        (sequential):  10.97s  (18.8 ms/frame)
    decode + undistort                 :   5.70s  (9.8 ms/frame)
    corner apply + refinement          :   2.46s  (4.2 ms/frame)
    segment                            :   2.30s  (3.9 ms/frame)
    smooth                             :   0.32s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  23.87s


Processing Rigs:  25%|██▌       | 1/4 [00:28<01:25, 28.63s/it][INFO] Filtered 547 stationary frames, 744 remain


→ 1500 (744 images) Phase 1:   0%|          | 0/744 [00:00<?, ?it/s]

→ 1500 (744 images) Phase 1:   0%|          | 1/744 [00:00<08:27,  1.46it/s]

→ 1500 (744 images) Phase 1:   4%|▍         | 33/744 [00:01<00:19, 37.05it/s]

→ 1500 (744 images) Phase 1:   8%|▊         | 57/744 [00:01<00:10, 64.60it/s]

→ 1500 (744 images) Phase 1:   9%|▉         | 70/744 [00:01<00:12, 52.35it/s]

→ 1500 (744 images) Phase 1:  13%|█▎        | 96/744 [00:01<00:08, 80.40it/s]

→ 1500 (744 images) Phase 1:  15%|█▍        | 111/744 [00:02<00:09, 63.45it/s]

→ 1500 (744 images) Phase 1:  17%|█▋        | 129/744 [00:02<00:10, 58.52it/s]

→ 1500 (744 images) Phase 1:  21%|██        | 153/744 [00:02<00:07, 81.24it/s]

→ 1500 (744 images) Phase 1:  22%|██▏       | 167/744 [00:02<00:08, 64.33it/s]

→ 1500 (744 images) Phase 1:  26%|██▌       | 190/744 [00:02<00:06, 85.85it/s]

→ 1500 (744 images) Phase 1:  27%|██▋       | 204/744 [00:03<00:08, 66.76it/s]

→ 1500 (744 images) Phase 1:  30%|███       | 225/744 [00:03<00:08, 63.24it/s]

→ 1500 (744 images) Phase 1:  33%|███▎      | 244/744 [00:03<00:06, 79.23it/s]

→ 1500 (744 images) Phase 1:  35%|███▍      | 257/744 [00:04<00:07, 64.00it/s]

→ 1500 (744 images) Phase 1:  37%|███▋      | 275/744 [00:04<00:05, 79.98it/s]

→ 1500 (744 images) Phase 1:  39%|███▉      | 289/744 [00:04<00:07, 59.14it/s]

→ 1500 (744 images) Phase 1:  40%|████      | 300/744 [00:04<00:06, 65.89it/s]

→ 1500 (744 images) Phase 1:  43%|████▎     | 321/744 [00:05<00:06, 64.74it/s]

→ 1500 (744 images) Phase 1:  45%|████▍     | 332/744 [00:05<00:05, 70.78it/s]

→ 1500 (744 images) Phase 1:  47%|████▋     | 353/744 [00:05<00:05, 67.94it/s]

→ 1500 (744 images) Phase 1:  49%|████▉     | 365/744 [00:05<00:05, 75.43it/s]

→ 1500 (744 images) Phase 1:  52%|█████▏    | 385/744 [00:05<00:05, 69.60it/s]

→ 1500 (744 images) Phase 1:  53%|█████▎    | 396/744 [00:06<00:04, 74.69it/s]

→ 1500 (744 images) Phase 1:  56%|█████▌    | 416/744 [00:06<00:03, 95.08it/s]

→ 1500 (744 images) Phase 1:  58%|█████▊    | 428/744 [00:06<00:04, 68.94it/s]

→ 1500 (744 images) Phase 1:  60%|██████    | 447/744 [00:06<00:03, 88.40it/s]

→ 1500 (744 images) Phase 1:  62%|██████▏   | 460/744 [00:06<00:04, 66.63it/s]

→ 1500 (744 images) Phase 1:  64%|██████▍   | 478/744 [00:07<00:03, 84.18it/s]

→ 1500 (744 images) Phase 1:  66%|██████▌   | 491/744 [00:07<00:03, 64.66it/s]

→ 1500 (744 images) Phase 1:  69%|██████▊   | 510/744 [00:07<00:02, 83.99it/s]

→ 1500 (744 images) Phase 1:  70%|███████   | 523/744 [00:07<00:03, 64.55it/s]

→ 1500 (744 images) Phase 1:  73%|███████▎  | 541/744 [00:07<00:02, 81.81it/s]

→ 1500 (744 images) Phase 1:  74%|███████▍  | 554/744 [00:08<00:02, 64.28it/s]

→ 1500 (744 images) Phase 1:  77%|███████▋  | 572/744 [00:08<00:02, 81.91it/s]

→ 1500 (744 images) Phase 1:  79%|███████▊  | 585/744 [00:08<00:02, 64.02it/s]

→ 1500 (744 images) Phase 1:  81%|████████  | 604/744 [00:08<00:01, 83.25it/s]

→ 1500 (744 images) Phase 1:  83%|████████▎ | 617/744 [00:09<00:01, 64.67it/s]

→ 1500 (744 images) Phase 1:  85%|████████▌ | 636/744 [00:09<00:01, 83.49it/s]

→ 1500 (744 images) Phase 1:  87%|████████▋ | 649/744 [00:09<00:01, 65.12it/s]

→ 1500 (744 images) Phase 1:  90%|████████▉ | 668/744 [00:09<00:00, 83.37it/s]

→ 1500 (744 images) Phase 1:  92%|█████████▏| 681/744 [00:09<00:00, 65.20it/s]

→ 1500 (744 images) Phase 1:  94%|█████████▍| 699/744 [00:10<00:00, 82.55it/s]

→ 1500 (744 images) Phase 1:  96%|█████████▌| 712/744 [00:10<00:00, 64.08it/s]

→ 1500 (744 images) Phase 1:  99%|█████████▊| 733/744 [00:10<00:00, 85.64it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/744 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/744 [00:00<03:00,  4.13it/s]

→ 1500 Phase 2: corners:   2%|▏         | 12/744 [00:00<00:17, 43.02it/s]

→ 1500 Phase 2: corners:   3%|▎         | 26/744 [00:00<00:10, 70.91it/s]

→ 1500 Phase 2: corners:   5%|▌         | 38/744 [00:00<00:08, 85.40it/s]

→ 1500 Phase 2: corners:   7%|▋         | 49/744 [00:00<00:07, 91.15it/s]

→ 1500 Phase 2: corners:   9%|▊         | 64/744 [00:00<00:06, 108.70it/s]

→ 1500 Phase 2: corners:  10%|█         | 76/744 [00:00<00:06, 104.97it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 89/744 [00:01<00:06, 107.82it/s]

→ 1500 Phase 2: corners:  14%|█▍        | 106/744 [00:01<00:05, 124.44it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 124/744 [00:01<00:04, 136.80it/s]

→ 1500 Phase 2: corners:  19%|█▊        | 138/744 [00:01<00:05, 108.63it/s]

→ 1500 Phase 2: corners:  21%|██        | 154/744 [00:01<00:04, 120.48it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 169/744 [00:01<00:04, 127.51it/s]

→ 1500 Phase 2: corners:  25%|██▍       | 183/744 [00:01<00:04, 125.75it/s]

→ 1500 Phase 2: corners:  26%|██▋       | 197/744 [00:01<00:04, 122.92it/s]

→ 1500 Phase 2: corners:  28%|██▊       | 211/744 [00:01<00:04, 126.75it/s]

→ 1500 Phase 2: corners:  30%|███       | 226/744 [00:02<00:03, 131.61it/s]

→ 1500 Phase 2: corners:  33%|███▎      | 242/744 [00:02<00:03, 136.87it/s]

→ 1500 Phase 2: corners:  34%|███▍      | 256/744 [00:02<00:03, 137.24it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 274/744 [00:02<00:03, 147.64it/s]

→ 1500 Phase 2: corners:  39%|███▉      | 290/744 [00:02<00:03, 148.81it/s]

→ 1500 Phase 2: corners:  41%|████      | 305/744 [00:02<00:03, 144.31it/s]

→ 1500 Phase 2: corners:  43%|████▎     | 322/744 [00:02<00:02, 147.82it/s]

→ 1500 Phase 2: corners:  45%|████▌     | 337/744 [00:02<00:02, 143.94it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 353/744 [00:02<00:02, 147.17it/s]

→ 1500 Phase 2: corners:  49%|████▉     | 368/744 [00:03<00:02, 147.85it/s]

→ 1500 Phase 2: corners:  52%|█████▏    | 384/744 [00:03<00:02, 148.10it/s]

→ 1500 Phase 2: corners:  54%|█████▍    | 400/744 [00:03<00:02, 147.91it/s]

→ 1500 Phase 2: corners:  56%|█████▌    | 416/744 [00:03<00:02, 150.27it/s]

→ 1500 Phase 2: corners:  58%|█████▊    | 433/744 [00:03<00:02, 154.55it/s]

→ 1500 Phase 2: corners:  61%|██████    | 451/744 [00:03<00:01, 159.72it/s]

→ 1500 Phase 2: corners:  63%|██████▎   | 467/744 [00:03<00:01, 159.17it/s]

→ 1500 Phase 2: corners:  65%|██████▌   | 484/744 [00:03<00:01, 159.36it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 501/744 [00:03<00:01, 160.63it/s]

→ 1500 Phase 2: corners:  70%|██████▉   | 518/744 [00:03<00:01, 161.28it/s]

→ 1500 Phase 2: corners:  72%|███████▏  | 535/744 [00:04<00:01, 162.96it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 552/744 [00:04<00:01, 159.68it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 571/744 [00:04<00:01, 166.70it/s]

→ 1500 Phase 2: corners:  79%|███████▉  | 589/744 [00:04<00:00, 168.81it/s]

→ 1500 Phase 2: corners:  82%|████████▏ | 607/744 [00:04<00:00, 171.05it/s]

→ 1500 Phase 2: corners:  84%|████████▍ | 625/744 [00:04<00:00, 172.94it/s]

→ 1500 Phase 2: corners:  86%|████████▋ | 643/744 [00:04<00:00, 167.64it/s]

→ 1500 Phase 2: corners:  89%|████████▊ | 660/744 [00:04<00:00, 166.07it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 677/744 [00:04<00:00, 164.14it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 695/744 [00:05<00:00, 166.83it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 719/744 [00:05<00:00, 187.75it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 744 total


→ 1500 Phase 3: finalize:   0%|          | 0/744 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 7/744 [00:00<00:11, 64.87it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 14/744 [00:00<00:11, 65.68it/s]

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→ 1500 Phase 3: finalize:   4%|▍         | 28/744 [00:00<00:10, 66.05it/s]

→ 1500 Phase 3: finalize:   5%|▍         | 35/744 [00:00<00:10, 66.13it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 42/744 [00:00<00:10, 66.26it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 49/744 [00:00<00:10, 66.44it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 56/744 [00:00<00:10, 65.66it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 63/744 [00:00<00:11, 61.46it/s]

→ 1500 Phase 3: finalize:   9%|▉         | 70/744 [00:01<00:11, 59.29it/s]

→ 1500 Phase 3: finalize:  10%|█         | 76/744 [00:01<00:11, 58.08it/s]

→ 1500 Phase 3: finalize:  11%|█         | 82/744 [00:01<00:11, 57.30it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 88/744 [00:01<00:11, 56.70it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 94/744 [00:01<00:11, 56.20it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 100/744 [00:01<00:11, 55.96it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 106/744 [00:01<00:11, 55.76it/s]

→ 1500 Phase 3: finalize:  15%|█▌        | 112/744 [00:01<00:11, 55.65it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 118/744 [00:01<00:11, 55.65it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 124/744 [00:02<00:11, 55.52it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 130/744 [00:02<00:11, 55.37it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 136/744 [00:02<00:10, 55.37it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 142/744 [00:02<00:10, 55.37it/s]

→ 1500 Phase 3: finalize:  20%|█▉        | 148/744 [00:02<00:10, 55.27it/s]

→ 1500 Phase 3: finalize:  21%|██        | 154/744 [00:02<00:10, 55.22it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 160/744 [00:02<00:10, 55.18it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 166/744 [00:02<00:10, 55.10it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 172/744 [00:02<00:10, 55.21it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 178/744 [00:03<00:10, 55.27it/s]

→ 1500 Phase 3: finalize:  25%|██▍       | 184/744 [00:03<00:10, 55.28it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 190/744 [00:03<00:10, 55.25it/s]

→ 1500 Phase 3: finalize:  26%|██▋       | 196/744 [00:03<00:09, 55.16it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 202/744 [00:03<00:09, 55.08it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 208/744 [00:03<00:09, 54.71it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 214/744 [00:03<00:09, 54.58it/s]

→ 1500 Phase 3: finalize:  30%|██▉       | 220/744 [00:03<00:09, 54.49it/s]

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→ 1500 Phase 3: finalize:  31%|███       | 232/744 [00:04<00:09, 54.32it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 238/744 [00:04<00:09, 54.34it/s]

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→ 1500 Phase 3: finalize:  34%|███▎      | 250/744 [00:04<00:09, 54.35it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 256/744 [00:04<00:08, 54.43it/s]

→ 1500 Phase 3: finalize:  35%|███▌      | 262/744 [00:04<00:08, 54.36it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 268/744 [00:04<00:08, 54.33it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 274/744 [00:04<00:08, 54.26it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 280/744 [00:04<00:08, 54.10it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 286/744 [00:05<00:08, 53.90it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 292/744 [00:05<00:08, 53.78it/s]

→ 1500 Phase 3: finalize:  40%|████      | 298/744 [00:05<00:08, 53.70it/s]

→ 1500 Phase 3: finalize:  41%|████      | 304/744 [00:05<00:08, 53.74it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 310/744 [00:05<00:08, 53.77it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 316/744 [00:05<00:07, 53.84it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 322/744 [00:05<00:07, 53.94it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 328/744 [00:05<00:07, 53.97it/s]

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→ 1500 Phase 3: finalize:  46%|████▌     | 340/744 [00:06<00:07, 53.98it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 346/744 [00:06<00:07, 53.92it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 352/744 [00:06<00:07, 53.88it/s]

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→ 1500 Phase 3: finalize:  49%|████▉     | 364/744 [00:06<00:07, 53.85it/s]

→ 1500 Phase 3: finalize:  50%|████▉     | 370/744 [00:06<00:06, 53.88it/s]

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→ 1500 Phase 3: finalize:  51%|█████▏    | 382/744 [00:06<00:06, 53.92it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 388/744 [00:06<00:06, 53.95it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 394/744 [00:07<00:06, 53.87it/s]

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→ 1500 Phase 3: finalize:  55%|█████▍    | 406/744 [00:07<00:06, 53.73it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 412/744 [00:07<00:06, 53.72it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 418/744 [00:07<00:06, 53.76it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 424/744 [00:07<00:05, 53.82it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 430/744 [00:07<00:05, 53.86it/s]

→ 1500 Phase 3: finalize:  59%|█████▊    | 436/744 [00:07<00:05, 53.86it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 442/744 [00:07<00:05, 53.90it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 448/744 [00:08<00:05, 53.92it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 454/744 [00:08<00:05, 53.89it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 460/744 [00:08<00:05, 53.39it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 466/744 [00:08<00:05, 53.26it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 472/744 [00:08<00:05, 53.26it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 478/744 [00:08<00:04, 53.34it/s]

→ 1500 Phase 3: finalize:  65%|██████▌   | 484/744 [00:08<00:04, 53.44it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 490/744 [00:08<00:04, 53.48it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 496/744 [00:08<00:04, 53.58it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 502/744 [00:09<00:04, 53.76it/s]

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→ 1500 Phase 3: finalize:  69%|██████▉   | 514/744 [00:09<00:04, 54.05it/s]

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→ 1500 Phase 3: finalize:  72%|███████▏  | 538/744 [00:09<00:03, 54.34it/s]

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→ 1500 Phase 3: finalize:  75%|███████▍  | 556/744 [00:10<00:03, 54.57it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 562/744 [00:10<00:03, 54.68it/s]

→ 1500 Phase 3: finalize:  76%|███████▋  | 568/744 [00:10<00:03, 54.71it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 574/744 [00:10<00:03, 54.74it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 580/744 [00:10<00:03, 54.65it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 586/744 [00:10<00:02, 54.79it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 592/744 [00:10<00:02, 54.95it/s]

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→ 1500 Phase 3: finalize:  81%|████████  | 604/744 [00:10<00:02, 54.93it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 610/744 [00:11<00:02, 54.98it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 616/744 [00:11<00:02, 55.06it/s]

→ 1500 Phase 3: finalize:  84%|████████▎ | 622/744 [00:11<00:02, 55.13it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 628/744 [00:11<00:02, 55.16it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 634/744 [00:11<00:01, 55.05it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 640/744 [00:11<00:01, 55.10it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 646/744 [00:11<00:01, 55.17it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 652/744 [00:11<00:01, 55.26it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 658/744 [00:11<00:01, 55.34it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 664/744 [00:12<00:01, 55.38it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 670/744 [00:12<00:01, 55.42it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 676/744 [00:12<00:01, 55.43it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 682/744 [00:12<00:01, 55.50it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 688/744 [00:12<00:01, 55.28it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 694/744 [00:12<00:00, 55.03it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 700/744 [00:12<00:00, 54.96it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 706/744 [00:12<00:00, 54.99it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 712/744 [00:12<00:00, 54.89it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 718/744 [00:13<00:00, 54.78it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 724/744 [00:13<00:00, 54.80it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 730/744 [00:13<00:00, 54.67it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 736/744 [00:13<00:00, 54.75it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 742/744 [00:13<00:00, 54.73it/s]

                                                                           
[TIMING] 1500 — 744 frames
  Phase 1  radial detect   (parallel)  :  10.82s  (14.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   5.30s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.15s
  Phase 3  finalize        (sequential):  13.48s  (18.1 ms/frame)
    decode + undistort                 :   7.25s  (9.7 ms/frame)
    corner apply + refinement          :   2.68s  (3.6 ms/frame)
    segment                            :   2.91s  (3.9 ms/frame)
    smooth                             :   0.40s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  29.75s


Processing Rigs:  50%|█████     | 2/4 [01:02<01:03, 31.96s/it][INFO] Filtered 499 stationary frames, 567 remain


→ 1000 (567 images) Phase 1:   0%|          | 0/567 [00:00<?, ?it/s]

→ 1000 (567 images) Phase 1:   0%|          | 1/567 [00:00<06:20,  1.49it/s]

→ 1000 (567 images) Phase 1:   4%|▎         | 21/567 [00:00<00:15, 36.06it/s]

→ 1000 (567 images) Phase 1:   6%|▌         | 33/567 [00:01<00:14, 37.41it/s]

→ 1000 (567 images) Phase 1:   7%|▋         | 42/567 [00:01<00:11, 45.06it/s]

→ 1000 (567 images) Phase 1:  11%|█▏        | 65/567 [00:01<00:08, 56.62it/s]

→ 1000 (567 images) Phase 1:  13%|█▎        | 73/567 [00:01<00:08, 59.83it/s]

→ 1000 (567 images) Phase 1:  17%|█▋        | 97/567 [00:01<00:07, 65.60it/s]

→ 1000 (567 images) Phase 1:  19%|█▊        | 105/567 [00:02<00:06, 66.43it/s]

→ 1000 (567 images) Phase 1:  23%|██▎       | 129/567 [00:02<00:06, 70.02it/s]

→ 1000 (567 images) Phase 1:  24%|██▍       | 137/567 [00:02<00:06, 69.06it/s]

→ 1000 (567 images) Phase 1:  28%|██▊       | 161/567 [00:02<00:05, 71.51it/s]

→ 1000 (567 images) Phase 1:  30%|██▉       | 169/567 [00:02<00:05, 70.74it/s]

→ 1000 (567 images) Phase 1:  34%|███▍      | 193/567 [00:03<00:05, 72.21it/s]

→ 1000 (567 images) Phase 1:  35%|███▌      | 201/567 [00:03<00:05, 70.98it/s]

→ 1000 (567 images) Phase 1:  40%|███▉      | 225/567 [00:03<00:04, 73.11it/s]

→ 1000 (567 images) Phase 1:  41%|████      | 233/567 [00:03<00:04, 71.57it/s]

→ 1000 (567 images) Phase 1:  45%|████▌     | 257/567 [00:04<00:04, 71.57it/s]

→ 1000 (567 images) Phase 1:  47%|████▋     | 265/567 [00:04<00:04, 72.54it/s]

→ 1000 (567 images) Phase 1:  51%|█████     | 289/567 [00:04<00:03, 70.19it/s]

→ 1000 (567 images) Phase 1:  53%|█████▎    | 302/567 [00:04<00:03, 78.84it/s]

→ 1000 (567 images) Phase 1:  57%|█████▋    | 321/567 [00:05<00:03, 69.13it/s]

→ 1000 (567 images) Phase 1:  59%|█████▉    | 334/567 [00:05<00:02, 78.03it/s]

→ 1000 (567 images) Phase 1:  62%|██████▏   | 353/567 [00:05<00:03, 68.44it/s]

→ 1000 (567 images) Phase 1:  65%|██████▌   | 369/567 [00:05<00:02, 80.78it/s]

→ 1000 (567 images) Phase 1:  68%|██████▊   | 385/567 [00:05<00:02, 67.69it/s]

→ 1000 (567 images) Phase 1:  70%|███████   | 399/567 [00:06<00:02, 78.16it/s]

→ 1000 (567 images) Phase 1:  74%|███████▎  | 417/567 [00:06<00:02, 68.54it/s]

→ 1000 (567 images) Phase 1:  76%|███████▌  | 429/567 [00:06<00:01, 76.07it/s]

→ 1000 (567 images) Phase 1:  79%|███████▉  | 449/567 [00:06<00:01, 68.92it/s]

→ 1000 (567 images) Phase 1:  82%|████████▏ | 464/567 [00:06<00:01, 80.48it/s]

→ 1000 (567 images) Phase 1:  85%|████████▍ | 480/567 [00:07<00:00, 88.36it/s]

→ 1000 (567 images) Phase 1:  87%|████████▋ | 491/567 [00:07<00:01, 60.72it/s]

→ 1000 (567 images) Phase 1:  90%|█████████ | 511/567 [00:07<00:00, 81.85it/s]

→ 1000 (567 images) Phase 1:  92%|█████████▏| 523/567 [00:07<00:00, 61.83it/s]

→ 1000 (567 images) Phase 1:  96%|█████████▌| 545/567 [00:08<00:00, 71.54it/s]

→ 1000 (567 images) Phase 1:  98%|█████████▊| 557/567 [00:08<00:00, 77.95it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/567 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/567 [00:00<02:52,  3.27it/s]

→ 1000 Phase 2: corners:   2%|▏         | 13/567 [00:00<00:14, 38.67it/s]

→ 1000 Phase 2: corners:   5%|▍         | 28/567 [00:00<00:07, 69.99it/s]

→ 1000 Phase 2: corners:   8%|▊         | 43/567 [00:00<00:05, 92.19it/s]

→ 1000 Phase 2: corners:  10%|▉         | 56/567 [00:00<00:05, 102.05it/s]

→ 1000 Phase 2: corners:  13%|█▎        | 71/567 [00:00<00:04, 113.53it/s]

→ 1000 Phase 2: corners:  15%|█▍        | 84/567 [00:00<00:04, 113.02it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 99/567 [00:01<00:03, 121.06it/s]

→ 1000 Phase 2: corners:  20%|██        | 115/567 [00:01<00:03, 128.31it/s]

→ 1000 Phase 2: corners:  23%|██▎       | 131/567 [00:01<00:03, 135.91it/s]

→ 1000 Phase 2: corners:  26%|██▌       | 145/567 [00:01<00:03, 135.01it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 161/567 [00:01<00:03, 131.40it/s]

→ 1000 Phase 2: corners:  31%|███       | 176/567 [00:01<00:02, 133.82it/s]

→ 1000 Phase 2: corners:  34%|███▎      | 191/567 [00:01<00:02, 136.83it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 211/567 [00:01<00:02, 152.81it/s]

→ 1000 Phase 2: corners:  41%|████      | 230/567 [00:01<00:02, 162.77it/s]

→ 1000 Phase 2: corners:  44%|████▎     | 247/567 [00:02<00:01, 162.01it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 264/567 [00:02<00:01, 154.50it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 280/567 [00:02<00:01, 156.00it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 296/567 [00:02<00:01, 153.21it/s]

→ 1000 Phase 2: corners:  55%|█████▌    | 312/567 [00:02<00:01, 151.85it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 331/567 [00:02<00:01, 160.46it/s]

→ 1000 Phase 2: corners:  61%|██████▏   | 348/567 [00:02<00:01, 153.08it/s]

→ 1000 Phase 2: corners:  64%|██████▍   | 364/567 [00:02<00:01, 153.46it/s]

→ 1000 Phase 2: corners:  67%|██████▋   | 380/567 [00:02<00:01, 152.98it/s]

→ 1000 Phase 2: corners:  70%|███████   | 397/567 [00:03<00:01, 157.22it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 415/567 [00:03<00:00, 160.25it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 432/567 [00:03<00:00, 152.94it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 450/567 [00:03<00:00, 158.20it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 466/567 [00:03<00:00, 155.11it/s]

→ 1000 Phase 2: corners:  85%|████████▌ | 484/567 [00:03<00:00, 160.23it/s]

→ 1000 Phase 2: corners:  89%|████████▊ | 502/567 [00:03<00:00, 165.39it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 519/567 [00:03<00:00, 165.88it/s]

→ 1000 Phase 2: corners:  95%|█████████▌| 540/567 [00:03<00:00, 178.26it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 2 untrusted, 567 total


→ 1000 Phase 3: finalize:   0%|          | 0/567 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   1%|          | 7/567 [00:00<00:08, 63.57it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 14/567 [00:00<00:08, 65.69it/s]

→ 1000 Phase 3: finalize:   4%|▎         | 21/567 [00:00<00:08, 67.16it/s]

→ 1000 Phase 3: finalize:   5%|▍         | 28/567 [00:00<00:07, 68.15it/s]

→ 1000 Phase 3: finalize:   6%|▋         | 36/567 [00:00<00:07, 70.57it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 44/567 [00:00<00:07, 70.44it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 52/567 [00:00<00:07, 70.74it/s]

→ 1000 Phase 3: finalize:  11%|█         | 60/567 [00:00<00:07, 66.17it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 67/567 [00:01<00:07, 62.95it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 74/567 [00:01<00:08, 60.99it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 81/567 [00:01<00:08, 59.64it/s]

→ 1000 Phase 3: finalize:  15%|█▌        | 87/567 [00:01<00:08, 58.81it/s]

→ 1000 Phase 3: finalize:  16%|█▋        | 93/567 [00:01<00:08, 58.19it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 99/567 [00:01<00:08, 57.69it/s]

→ 1000 Phase 3: finalize:  19%|█▊        | 105/567 [00:01<00:08, 57.37it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 111/567 [00:01<00:07, 57.13it/s]

→ 1000 Phase 3: finalize:  21%|██        | 117/567 [00:01<00:07, 56.98it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 123/567 [00:02<00:07, 56.85it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 129/567 [00:02<00:07, 56.75it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 135/567 [00:02<00:07, 56.58it/s]

→ 1000 Phase 3: finalize:  25%|██▍       | 141/567 [00:02<00:07, 56.58it/s]

→ 1000 Phase 3: finalize:  26%|██▌       | 147/567 [00:02<00:07, 56.56it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 153/567 [00:02<00:07, 56.52it/s]

→ 1000 Phase 3: finalize:  28%|██▊       | 159/567 [00:02<00:07, 56.47it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 165/567 [00:02<00:07, 56.37it/s]

→ 1000 Phase 3: finalize:  30%|███       | 171/567 [00:02<00:07, 56.23it/s]

→ 1000 Phase 3: finalize:  31%|███       | 177/567 [00:02<00:06, 56.07it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 183/567 [00:03<00:06, 55.95it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 189/567 [00:03<00:06, 55.86it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 195/567 [00:03<00:08, 43.63it/s]

→ 1000 Phase 3: finalize:  35%|███▌      | 201/567 [00:03<00:07, 46.51it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 207/567 [00:03<00:07, 48.68it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 213/567 [00:03<00:07, 50.28it/s]

→ 1000 Phase 3: finalize:  39%|███▊      | 219/567 [00:03<00:06, 51.42it/s]

→ 1000 Phase 3: finalize:  40%|███▉      | 225/567 [00:03<00:06, 52.34it/s]

→ 1000 Phase 3: finalize:  41%|████      | 231/567 [00:04<00:06, 53.10it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 237/567 [00:04<00:06, 53.80it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 243/567 [00:04<00:05, 54.30it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 249/567 [00:04<00:05, 54.48it/s]

→ 1000 Phase 3: finalize:  45%|████▍     | 255/567 [00:04<00:05, 54.86it/s]

→ 1000 Phase 3: finalize:  46%|████▌     | 261/567 [00:04<00:05, 55.15it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 267/567 [00:04<00:05, 54.76it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 273/567 [00:04<00:05, 55.06it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 279/567 [00:04<00:05, 55.33it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 285/567 [00:05<00:05, 55.50it/s]

→ 1000 Phase 3: finalize:  51%|█████▏    | 291/567 [00:05<00:04, 55.63it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 297/567 [00:05<00:04, 55.73it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 303/567 [00:05<00:04, 55.75it/s]

→ 1000 Phase 3: finalize:  54%|█████▍    | 309/567 [00:05<00:04, 55.74it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 315/567 [00:05<00:04, 55.76it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 321/567 [00:05<00:04, 55.67it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 327/567 [00:05<00:04, 55.60it/s]

→ 1000 Phase 3: finalize:  59%|█████▊    | 333/567 [00:05<00:04, 55.51it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 339/567 [00:05<00:04, 55.43it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 345/567 [00:06<00:04, 55.42it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 351/567 [00:06<00:03, 55.39it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 357/567 [00:06<00:03, 55.34it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 363/567 [00:06<00:03, 55.19it/s]

→ 1000 Phase 3: finalize:  65%|██████▌   | 369/567 [00:06<00:03, 54.96it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 375/567 [00:06<00:03, 54.82it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 381/567 [00:06<00:03, 54.77it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 387/567 [00:06<00:03, 54.87it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 393/567 [00:06<00:03, 54.91it/s]

→ 1000 Phase 3: finalize:  70%|███████   | 399/567 [00:07<00:03, 55.07it/s]

→ 1000 Phase 3: finalize:  71%|███████▏  | 405/567 [00:07<00:02, 55.26it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 411/567 [00:07<00:02, 55.40it/s]

→ 1000 Phase 3: finalize:  74%|███████▎  | 417/567 [00:07<00:02, 55.42it/s]

→ 1000 Phase 3: finalize:  75%|███████▍  | 423/567 [00:07<00:02, 55.60it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 429/567 [00:07<00:02, 55.77it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 435/567 [00:07<00:02, 55.94it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 441/567 [00:07<00:02, 56.03it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 447/567 [00:07<00:02, 56.06it/s]

→ 1000 Phase 3: finalize:  80%|███████▉  | 453/567 [00:08<00:02, 56.17it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 459/567 [00:08<00:01, 56.29it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 465/567 [00:08<00:01, 56.35it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 471/567 [00:08<00:01, 56.44it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 477/567 [00:08<00:01, 56.48it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 483/567 [00:08<00:01, 56.51it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 489/567 [00:08<00:01, 56.55it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 495/567 [00:08<00:01, 56.59it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 501/567 [00:08<00:01, 56.60it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 507/567 [00:08<00:01, 56.66it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 513/567 [00:09<00:00, 56.69it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 519/567 [00:09<00:00, 56.74it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 525/567 [00:09<00:00, 56.70it/s]

→ 1000 Phase 3: finalize:  94%|█████████▎| 531/567 [00:09<00:00, 56.59it/s]

→ 1000 Phase 3: finalize:  95%|█████████▍| 537/567 [00:09<00:00, 56.54it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 543/567 [00:09<00:00, 56.42it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 549/567 [00:09<00:00, 56.13it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 555/567 [00:09<00:00, 55.94it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 561/567 [00:09<00:00, 55.82it/s]

→ 1000 Phase 3: finalize: 100%|██████████| 567/567 [00:10<00:00, 55.70it/s]

                                                                           
[TIMING] 1000 — 567 frames
  Phase 1  radial detect   (parallel)  :   8.43s  (14.9 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.00s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.12s
  Phase 3  finalize        (sequential):  10.07s  (17.8 ms/frame)
    decode + undistort                 :   5.49s  (9.7 ms/frame)
    corner apply + refinement          :   1.94s  (3.4 ms/frame)
    segment                            :   2.15s  (3.8 ms/frame)
    smooth                             :   0.30s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  22.62s


Processing Rigs:  75%|███████▌  | 3/4 [01:29<00:29, 29.40s/it][INFO] Filtered 506 stationary frames, 537 remain


→ 2000R (537 images) Phase 1:   0%|          | 0/537 [00:00<?, ?it/s]

→ 2000R (537 images) Phase 1:   0%|          | 1/537 [00:00<06:17,  1.42it/s]

→ 2000R (537 images) Phase 1:   3%|▎         | 16/537 [00:00<00:20, 25.94it/s]

→ 2000R (537 images) Phase 1:   6%|▌         | 33/537 [00:01<00:13, 37.60it/s]

→ 2000R (537 images) Phase 1:   9%|▉         | 47/537 [00:01<00:09, 53.80it/s]

→ 2000R (537 images) Phase 1:  12%|█▏        | 65/537 [00:01<00:08, 53.81it/s]

→ 2000R (537 images) Phase 1:  15%|█▍        | 79/537 [00:01<00:06, 67.23it/s]

→ 2000R (537 images) Phase 1:  18%|█▊        | 97/537 [00:02<00:07, 61.77it/s]

→ 2000R (537 images) Phase 1:  20%|██        | 109/537 [00:02<00:06, 70.63it/s]

→ 2000R (537 images) Phase 1:  24%|██▍       | 129/537 [00:02<00:06, 66.07it/s]

→ 2000R (537 images) Phase 1:  26%|██▌       | 138/537 [00:02<00:05, 68.71it/s]

→ 2000R (537 images) Phase 1:  30%|██▉       | 161/537 [00:02<00:05, 69.60it/s]

→ 2000R (537 images) Phase 1:  32%|███▏      | 171/537 [00:02<00:05, 73.08it/s]

→ 2000R (537 images) Phase 1:  36%|███▌      | 193/537 [00:03<00:04, 71.12it/s]

→ 2000R (537 images) Phase 1:  38%|███▊      | 203/537 [00:03<00:04, 75.40it/s]

→ 2000R (537 images) Phase 1:  41%|████      | 221/537 [00:03<00:03, 91.76it/s]

→ 2000R (537 images) Phase 1:  43%|████▎     | 232/537 [00:03<00:04, 67.53it/s]

→ 2000R (537 images) Phase 1:  47%|████▋     | 251/537 [00:03<00:03, 87.72it/s]

→ 2000R (537 images) Phase 1:  49%|████▉     | 263/537 [00:04<00:04, 65.93it/s]

→ 2000R (537 images) Phase 1:  52%|█████▏    | 278/537 [00:04<00:03, 79.48it/s]

→ 2000R (537 images) Phase 1:  54%|█████▍    | 289/537 [00:04<00:03, 65.93it/s]

→ 2000R (537 images) Phase 1:  55%|█████▌    | 298/537 [00:04<00:03, 67.91it/s]

→ 2000R (537 images) Phase 1:  59%|█████▉    | 318/537 [00:04<00:02, 91.83it/s]

→ 2000R (537 images) Phase 1:  61%|██████▏   | 330/537 [00:05<00:03, 65.28it/s]

→ 2000R (537 images) Phase 1:  65%|██████▌   | 350/537 [00:05<00:02, 87.34it/s]

→ 2000R (537 images) Phase 1:  68%|██████▊   | 363/537 [00:05<00:02, 65.64it/s]

→ 2000R (537 images) Phase 1:  71%|███████   | 381/537 [00:05<00:01, 83.39it/s]

→ 2000R (537 images) Phase 1:  73%|███████▎  | 393/537 [00:06<00:02, 63.65it/s]

→ 2000R (537 images) Phase 1:  77%|███████▋  | 412/537 [00:06<00:01, 82.49it/s]

→ 2000R (537 images) Phase 1:  79%|███████▉  | 424/537 [00:06<00:01, 63.23it/s]

→ 2000R (537 images) Phase 1:  82%|████████▏ | 443/537 [00:06<00:01, 82.74it/s]

→ 2000R (537 images) Phase 1:  85%|████████▍ | 456/537 [00:06<00:01, 62.43it/s]

→ 2000R (537 images) Phase 1:  89%|████████▉ | 479/537 [00:07<00:00, 87.58it/s]

→ 2000R (537 images) Phase 1:  92%|█████████▏| 493/537 [00:07<00:00, 66.10it/s]

→ 2000R (537 images) Phase 1:  96%|█████████▌| 513/537 [00:07<00:00, 77.35it/s]

→ 2000R (537 images) Phase 1:  98%|█████████▊| 524/537 [00:07<00:00, 73.88it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/537 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/537 [00:00<03:25,  2.61it/s]

→ 2000R Phase 2: corners:   3%|▎         | 17/537 [00:00<00:11, 44.42it/s]

→ 2000R Phase 2: corners:   5%|▌         | 29/537 [00:00<00:08, 62.54it/s]

→ 2000R Phase 2: corners:   8%|▊         | 45/537 [00:00<00:05, 86.39it/s]

→ 2000R Phase 2: corners:  11%|█         | 57/537 [00:00<00:05, 95.45it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 72/537 [00:00<00:04, 109.73it/s]

→ 2000R Phase 2: corners:  16%|█▋        | 88/537 [00:01<00:03, 121.44it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 102/537 [00:01<00:03, 125.54it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 117/537 [00:01<00:03, 130.66it/s]

→ 2000R Phase 2: corners:  25%|██▍       | 132/537 [00:01<00:03, 134.65it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 146/537 [00:01<00:02, 134.53it/s]

→ 2000R Phase 2: corners:  30%|██▉       | 160/537 [00:01<00:02, 127.62it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 176/537 [00:01<00:02, 135.69it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 193/537 [00:01<00:02, 142.69it/s]

→ 2000R Phase 2: corners:  39%|███▊      | 208/537 [00:01<00:02, 141.30it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 226/537 [00:01<00:02, 151.05it/s]

→ 2000R Phase 2: corners:  45%|████▌     | 243/537 [00:02<00:01, 153.73it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 259/537 [00:02<00:01, 152.58it/s]

→ 2000R Phase 2: corners:  51%|█████     | 275/537 [00:02<00:01, 153.48it/s]

→ 2000R Phase 2: corners:  54%|█████▍    | 292/537 [00:02<00:01, 154.52it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 308/537 [00:02<00:01, 153.62it/s]

→ 2000R Phase 2: corners:  61%|██████    | 325/537 [00:02<00:01, 157.43it/s]

→ 2000R Phase 2: corners:  64%|██████▍   | 345/537 [00:02<00:01, 166.94it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 363/537 [00:02<00:01, 168.89it/s]

→ 2000R Phase 2: corners:  71%|███████   | 380/537 [00:02<00:00, 166.11it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 398/537 [00:03<00:00, 170.05it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 416/537 [00:03<00:00, 165.17it/s]

→ 2000R Phase 2: corners:  81%|████████  | 436/537 [00:03<00:00, 172.31it/s]

→ 2000R Phase 2: corners:  85%|████████▍ | 454/537 [00:03<00:00, 171.67it/s]

→ 2000R Phase 2: corners:  88%|████████▊ | 472/537 [00:03<00:00, 172.74it/s]

→ 2000R Phase 2: corners:  91%|█████████ | 490/537 [00:03<00:00, 168.51it/s]

→ 2000R Phase 2: corners:  96%|█████████▌| 516/537 [00:03<00:00, 194.39it/s]

                                                                            [PASS2] Frame 0000757: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000810: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 1 untrusted, 537 total


→ 2000R Phase 3: finalize:   0%|          | 0/537 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   1%|▏         | 7/537 [00:00<00:08, 60.65it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 14/537 [00:00<00:08, 63.83it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 21/537 [00:00<00:07, 65.02it/s]

→ 2000R Phase 3: finalize:   5%|▌         | 28/537 [00:00<00:07, 65.60it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 35/537 [00:00<00:07, 66.03it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 42/537 [00:00<00:07, 66.59it/s]

→ 2000R Phase 3: finalize:   9%|▉         | 49/537 [00:00<00:07, 67.02it/s]

→ 2000R Phase 3: finalize:  10%|█         | 56/537 [00:00<00:07, 64.97it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 63/537 [00:00<00:07, 60.92it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 70/537 [00:01<00:07, 58.76it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 76/537 [00:01<00:08, 57.54it/s]

→ 2000R Phase 3: finalize:  15%|█▌        | 82/537 [00:01<00:08, 56.76it/s]

→ 2000R Phase 3: finalize:  16%|█▋        | 88/537 [00:01<00:07, 56.25it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 94/537 [00:01<00:07, 55.89it/s]

→ 2000R Phase 3: finalize:  19%|█▊        | 100/537 [00:01<00:07, 55.64it/s]

→ 2000R Phase 3: finalize:  20%|█▉        | 106/537 [00:01<00:07, 55.51it/s]

→ 2000R Phase 3: finalize:  21%|██        | 112/537 [00:01<00:07, 55.43it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 118/537 [00:01<00:07, 55.23it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 124/537 [00:02<00:07, 55.23it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 130/537 [00:02<00:07, 55.20it/s]

→ 2000R Phase 3: finalize:  25%|██▌       | 136/537 [00:02<00:07, 54.71it/s]

→ 2000R Phase 3: finalize:  26%|██▋       | 142/537 [00:02<00:07, 54.44it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 148/537 [00:02<00:07, 54.48it/s]

→ 2000R Phase 3: finalize:  29%|██▊       | 154/537 [00:02<00:07, 54.52it/s]

→ 2000R Phase 3: finalize:  30%|██▉       | 160/537 [00:02<00:06, 54.26it/s]

→ 2000R Phase 3: finalize:  31%|███       | 166/537 [00:02<00:06, 54.17it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 172/537 [00:02<00:06, 53.97it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 178/537 [00:03<00:06, 53.79it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 184/537 [00:03<00:06, 53.81it/s]

→ 2000R Phase 3: finalize:  35%|███▌      | 190/537 [00:03<00:06, 53.61it/s]

→ 2000R Phase 3: finalize:  36%|███▋      | 196/537 [00:03<00:06, 53.49it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 202/537 [00:03<00:06, 53.53it/s]

→ 2000R Phase 3: finalize:  39%|███▊      | 208/537 [00:03<00:06, 53.48it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 214/537 [00:03<00:06, 53.37it/s]

→ 2000R Phase 3: finalize:  41%|████      | 220/537 [00:03<00:05, 53.36it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 226/537 [00:03<00:05, 53.11it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 232/537 [00:04<00:05, 53.03it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 238/537 [00:04<00:05, 52.96it/s]

→ 2000R Phase 3: finalize:  45%|████▌     | 244/537 [00:04<00:05, 53.23it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 250/537 [00:04<00:05, 53.40it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 256/537 [00:04<00:05, 53.67it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 262/537 [00:04<00:05, 53.60it/s]

→ 2000R Phase 3: finalize:  50%|████▉     | 268/537 [00:04<00:05, 53.40it/s]

→ 2000R Phase 3: finalize:  51%|█████     | 274/537 [00:04<00:04, 53.04it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 280/537 [00:05<00:04, 52.62it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 286/537 [00:05<00:04, 52.11it/s]

→ 2000R Phase 3: finalize:  54%|█████▍    | 292/537 [00:05<00:04, 51.88it/s]

→ 2000R Phase 3: finalize:  55%|█████▌    | 298/537 [00:05<00:04, 51.64it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 304/537 [00:05<00:04, 51.31it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 310/537 [00:05<00:04, 51.22it/s]

→ 2000R Phase 3: finalize:  59%|█████▉    | 316/537 [00:05<00:04, 51.07it/s]

→ 2000R Phase 3: finalize:  60%|█████▉    | 322/537 [00:05<00:04, 50.77it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 328/537 [00:05<00:04, 50.75it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 334/537 [00:06<00:03, 50.77it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 340/537 [00:06<00:03, 50.65it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 346/537 [00:06<00:03, 50.55it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 352/537 [00:06<00:03, 50.43it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 358/537 [00:06<00:03, 50.43it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 364/537 [00:06<00:03, 50.73it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 370/537 [00:06<00:03, 50.99it/s]

→ 2000R Phase 3: finalize:  70%|███████   | 376/537 [00:06<00:03, 51.36it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 382/537 [00:07<00:03, 51.12it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 388/537 [00:07<00:02, 50.92it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 394/537 [00:07<00:02, 50.80it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 400/537 [00:07<00:02, 50.66it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 406/537 [00:07<00:02, 50.66it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 412/537 [00:07<00:02, 50.68it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 418/537 [00:07<00:02, 50.64it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 424/537 [00:07<00:02, 50.59it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 430/537 [00:07<00:02, 50.51it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 436/537 [00:08<00:01, 50.59it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 442/537 [00:08<00:01, 50.61it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 448/537 [00:08<00:01, 50.58it/s]

→ 2000R Phase 3: finalize:  85%|████████▍ | 454/537 [00:08<00:01, 50.52it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 460/537 [00:08<00:01, 50.53it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 466/537 [00:08<00:01, 50.46it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 472/537 [00:08<00:01, 50.15it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 478/537 [00:08<00:01, 50.13it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 484/537 [00:09<00:01, 50.43it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 490/537 [00:09<00:00, 50.93it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 496/537 [00:09<00:00, 51.35it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 502/537 [00:09<00:00, 51.74it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 508/537 [00:09<00:00, 52.08it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 514/537 [00:09<00:00, 52.39it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 520/537 [00:09<00:00, 52.50it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 526/537 [00:09<00:00, 52.63it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 532/537 [00:09<00:00, 52.79it/s]

                                                                            
[TIMING] 2000R — 537 frames
  Phase 1  radial detect   (parallel)  :   7.88s  (14.7 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.81s  (7.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.24s
  Phase 3  finalize        (sequential):  10.05s  (18.7 ms/frame)
    decode + undistort                 :   5.21s  (9.7 ms/frame)
    corner apply + refinement          :   2.24s  (4.2 ms/frame)
    segment                            :   2.13s  (4.0 ms/frame)
    smooth                             :   0.30s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  21.98s


Processing Rigs: 100%|██████████| 4/4 [01:54<00:00, 27.89s/it]
Processing Rigs: 100%|██████████| 4/4 [01:54<00:00, 28.71s/it]
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_09-09-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 2432 frames from 4 rigs to /working/MDC050_W019(6)_09-09-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_09-09-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 584
[📋] 1500: 100 frames selected from 744
[📋] 1000: 100 frames selected from 567
[📋] 2000R: 100 frames selected from 537
[💾] Saved RigFrameDataset to /working/MDC050_W019(6)_09-09-2026/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC050_W019(6)_09-09-2026/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 [00:05<07:10,  5.45s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:05<03:05,  2.37s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:12,  1.05it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:06<00:40,  1.83it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:06<00:26,  2.74it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:18,  3.77it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:06<00:16,  4.31it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:06<00:14,  4.74it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:07<00:14,  4.50it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:07<00:13,  4.95it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:07<00:09,  6.46it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:07,  7.90it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:07<00:06,  9.51it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:07<00:05, 10.92it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:07<00:04, 12.10it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:08<00:04, 12.72it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:08<00:03, 13.73it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:08<00:05,  9.73it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:12<00:28,  1.68it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:12<00:19,  2.30it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:12<00:14,  3.06it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:12<00:10,  3.89it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:12<00:08,  4.82it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:12<00:06,  6.01it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:13<00:06,  5.60it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:13<00:05,  5.83it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:13<00:05,  6.06it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:13<00:04,  6.48it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:13<00:03,  7.65it/s]
Computing max image from bright frames:  65%|██████▌   | 52/80 [00:14<00:03,  7.42it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:14<00:03,  7.53it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:14<00:02, 10.23it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:14<00:02, 10.07it/s]
Computing max image from bright frames:  76%|███████▋  | 61/80 [00:14<00:01, 13.54it/s]
Computing max image from bright frames:  79%|███████▉  | 63/80 [00:15<00:01, 11.22it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:16<00:04,  3.69it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:16<00:03,  4.02it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:16<00:01,  6.79it/s]
Computing max image from bright frames:  90%|█████████ | 72/80 [00:16<00:00,  8.09it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:17<00:00,  8.78it/s]
Computing max image from bright frames:  95%|█████████▌| 76/80 [00:17<00:00, 10.15it/s]
Computing max image from bright frames: 100%|██████████| 80/80 [00:17<00:00, 14.92it/s]
                                                                                       
[✅] Casing detection complete: cx=997.0, cy=736.0

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                        Step 3: Calibration                        
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  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:27,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:26,  3.63it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.47it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.47it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.47it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 12.47it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:00<00:07, 12.47it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   8%|▊         | 8/100 [00:00<00:04, 19.46it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   8%|▊         | 8/100 [00:00<00:04, 19.46it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:04, 19.46it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  10%|█         | 10/100 [00:00<00:04, 19.46it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.75it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.002 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.75it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 18.75it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 18.75it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:04, 18.75it/s] 
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  15%|█▌        | 15/100 [00:00<00:03, 23.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 23.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 23.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 24.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 24.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 24.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:00<00:03, 24.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:01<00:03, 24.03it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  22%|██▏       | 22/100 [00:01<00:02, 26.22it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:01<00:02, 26.22it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:02, 26.22it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  24%|██▍       | 24/100 [00:01<00:02, 26.22it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:03, 23.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.017 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:03, 23.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.034 | Best: {'fx': 490.909} (0.034):  26%|██▌       | 26/100 [00:01<00:03, 23.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 490.909} (0.034):  27%|██▋       | 27/100 [00:01<00:03, 23.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  28%|██▊       | 28/100 [00:01<00:03, 23.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  29%|██▉       | 29/100 [00:01<00:03, 23.30it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.041 | Best: {'fx': 505.051} (0.051):  29%|██▉       | 29/100 [00:01<00:03, 23.30it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.063 | Best: {'fx': 512.121} (0.063):  30%|███       | 30/100 [00:01<00:03, 23.30it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.099 | Best: {'fx': 533.333} (0.099):  31%|███       | 31/100 [00:01<00:02, 23.30it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.099 | Best: {'fx': 533.333} (0.099):  32%|███▏      | 32/100 [00:01<00:04, 16.81it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.105 | Best: {'fx': 526.263} (0.105):  32%|███▏      | 32/100 [00:01<00:04, 16.81it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.081 | Best: {'fx': 526.263} (0.105):  33%|███▎      | 33/100 [00:01<00:03, 16.81it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.068 | Best: {'fx': 526.263} (0.105):  34%|███▍      | 34/100 [00:01<00:03, 16.81it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.068 | Best: {'fx': 526.263} (0.105):  35%|███▌      | 35/100 [00:01<00:03, 18.49it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.084 | Best: {'fx': 526.263} (0.105):  35%|███▌      | 35/100 [00:01<00:03, 18.49it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.050 | Best: {'fx': 526.263} (0.105):  36%|███▌      | 36/100 [00:01<00:03, 18.49it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.058 | Best: {'fx': 526.263} (0.105):  37%|███▋      | 37/100 [00:01<00:03, 18.49it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.032 | Best: {'fx': 526.263} (0.105):  38%|███▊      | 38/100 [00:02<00:03, 18.49it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.032 | Best: {'fx': 526.263} (0.105):  39%|███▉      | 39/100 [00:02<00:03, 16.97it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.040 | Best: {'fx': 526.263} (0.105):  39%|███▉      | 39/100 [00:02<00:03, 16.97it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.046 | Best: {'fx': 526.263} (0.105):  40%|████      | 40/100 [00:02<00:03, 16.97it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.043 | Best: {'fx': 526.263} (0.105):  41%|████      | 41/100 [00:02<00:03, 16.97it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.031 | Best: {'fx': 526.263} (0.105):  42%|████▏     | 42/100 [00:02<00:03, 16.97it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.031 | Best: {'fx': 526.263} (0.105):  43%|████▎     | 43/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.030 | Best: {'fx': 526.263} (0.105):  43%|████▎     | 43/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.033 | Best: {'fx': 526.263} (0.105):  44%|████▍     | 44/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.037 | Best: {'fx': 526.263} (0.105):  45%|████▌     | 45/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.035 | Best: {'fx': 526.263} (0.105):  46%|████▌     | 46/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.029 | Best: {'fx': 526.263} (0.105):  47%|████▋     | 47/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.028 | Best: {'fx': 526.263} (0.105):  48%|████▊     | 48/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.027 | Best: {'fx': 526.263} (0.105):  49%|████▉     | 49/100 [00:02<00:02, 20.28it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.027 | Best: {'fx': 526.263} (0.105):  50%|█████     | 50/100 [00:02<00:01, 28.99it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.027 | Best: {'fx': 526.263} (0.105):  50%|█████     | 50/100 [00:02<00:01, 28.99it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 526.263} (0.105):  51%|█████     | 51/100 [00:02<00:01, 28.99it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 526.263} (0.105):  52%|█████▏    | 52/100 [00:02<00:01, 28.99it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  53%|█████▎    | 53/100 [00:02<00:01, 28.99it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  54%|█████▍    | 54/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.024 | Best: {'fx': 526.263} (0.105):  54%|█████▍    | 54/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  55%|█████▌    | 55/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  56%|█████▌    | 56/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  57%|█████▋    | 57/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  58%|█████▊    | 58/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.026 | Best: {'fx': 526.263} (0.105):  59%|█████▉    | 59/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.025 | Best: {'fx': 526.263} (0.105):  60%|██████    | 60/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  61%|██████    | 61/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  62%|██████▏   | 62/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  63%|██████▎   | 63/100 [00:02<00:01, 24.62it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  64%|██████▍   | 64/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.024 | Best: {'fx': 526.263} (0.105):  64%|██████▍   | 64/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  65%|██████▌   | 65/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  66%|██████▌   | 66/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  67%|██████▋   | 67/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  68%|██████▊   | 68/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  69%|██████▉   | 69/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  70%|███████   | 70/100 [00:02<00:00, 36.82it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  71%|███████   | 71/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  71%|███████   | 71/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  72%|███████▏  | 72/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  73%|███████▎  | 73/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  74%|███████▍  | 74/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  75%|███████▌  | 75/100 [00:02<00:00, 42.38it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  76%|███████▌  | 76/100 [00:02<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  76%|███████▌  | 76/100 [00:02<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  77%|███████▋  | 77/100 [00:03<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  78%|███████▊  | 78/100 [00:03<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  79%|███████▉  | 79/100 [00:03<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  80%|████████  | 80/100 [00:03<00:00, 42.56it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  81%|████████  | 81/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  81%|████████  | 81/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  82%|████████▏ | 82/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  83%|████████▎ | 83/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  84%|████████▍ | 84/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  85%|████████▌ | 85/100 [00:03<00:00, 37.53it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  86%|████████▌ | 86/100 [00:03<00:00, 36.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  86%|████████▌ | 86/100 [00:03<00:00, 36.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  87%|████████▋ | 87/100 [00:03<00:00, 36.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  88%|████████▊ | 88/100 [00:03<00:00, 36.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  89%|████████▉ | 89/100 [00:03<00:00, 36.78it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  90%|█████████ | 90/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  90%|█████████ | 90/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  91%|█████████ | 91/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  92%|█████████▏| 92/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  93%|█████████▎| 93/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  94%|█████████▍| 94/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  95%|█████████▌| 95/100 [00:03<00:00, 28.34it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  96%|█████████▌| 96/100 [00:03<00:00, 29.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  96%|█████████▌| 96/100 [00:03<00:00, 29.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  97%|█████████▋| 97/100 [00:03<00:00, 29.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  98%|█████████▊| 98/100 [00:03<00:00, 29.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  99%|█████████▉| 99/100 [00:03<00:00, 29.21it/s]
Brute | Start: {'fx': 500.0} (0.043) | Current: 0.018 | Best: {'fx': 526.263} (0.105): 100%|██████████| 100/100 [00:03<00:00, 30.89it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.045 | Best: {'fx': 501.263} (0.045):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.045 | Best: {'fx': 501.263} (0.045):   2%|▏         | 1/50 [00:00<00:27,  1.77it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.047 | Best: {'fx': 502.283} (0.047):   2%|▏         | 1/50 [00:00<00:27,  1.77it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.048 | Best: {'fx': 503.303} (0.048):   4%|▍         | 2/50 [00:00<00:27,  1.77it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.050 | Best: {'fx': 504.324} (0.050):   6%|▌         | 3/50 [00:00<00:26,  1.77it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.053 | Best: {'fx': 506.365} (0.053):   8%|▊         | 4/50 [00:00<00:26,  1.77it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.053 | Best: {'fx': 506.365} (0.053):  10%|█         | 5/50 [00:00<00:05,  8.46it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.051 | Best: {'fx': 506.365} (0.053):  10%|█         | 5/50 [00:00<00:05,  8.46it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.054 | Best: {'fx': 507.385} (0.054):  12%|█▏        | 6/50 [00:00<00:05,  8.46it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.056 | Best: {'fx': 508.405} (0.056):  14%|█▍        | 7/50 [00:00<00:05,  8.46it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.056 | Best: {'fx': 508.405} (0.056):  16%|█▌        | 8/50 [00:00<00:03, 11.86it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.058 | Best: {'fx': 509.426} (0.058):  16%|█▌        | 8/50 [00:00<00:03, 11.86it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.060 | Best: {'fx': 510.446} (0.060):  18%|█▊        | 9/50 [00:00<00:03, 11.86it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.064 | Best: {'fx': 512.487} (0.064):  20%|██        | 10/50 [00:01<00:03, 11.86it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.064 | Best: {'fx': 512.487} (0.064):  22%|██▏       | 11/50 [00:01<00:02, 14.02it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.061 | Best: {'fx': 512.487} (0.064):  22%|██▏       | 11/50 [00:01<00:02, 14.02it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.067 | Best: {'fx': 513.508} (0.067):  24%|██▍       | 12/50 [00:01<00:02, 14.02it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.069 | Best: {'fx': 514.528} (0.069):  26%|██▌       | 13/50 [00:01<00:02, 14.02it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.071 | Best: {'fx': 515.548} (0.071):  28%|██▊       | 14/50 [00:01<00:02, 14.02it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.071 | Best: {'fx': 515.548} (0.071):  30%|███       | 15/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.073 | Best: {'fx': 516.569} (0.073):  30%|███       | 15/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.085 | Best: {'fx': 520.65} (0.085):  32%|███▏      | 16/50 [00:01<00:01, 18.44it/s] 
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.075 | Best: {'fx': 520.65} (0.085):  34%|███▍      | 17/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.075 | Best: {'fx': 520.65} (0.085):  36%|███▌      | 18/50 [00:01<00:02, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.089 | Best: {'fx': 521.671} (0.089):  36%|███▌      | 18/50 [00:01<00:02, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.092 | Best: {'fx': 522.691} (0.092):  38%|███▊      | 19/50 [00:01<00:02, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.079 | Best: {'fx': 522.691} (0.092):  40%|████      | 20/50 [00:01<00:02, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.083 | Best: {'fx': 522.691} (0.092):  42%|████▏     | 21/50 [00:01<00:01, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.097 | Best: {'fx': 523.712} (0.097):  44%|████▍     | 22/50 [00:01<00:01, 14.84it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.097 | Best: {'fx': 523.712} (0.097):  46%|████▌     | 23/50 [00:01<00:01, 19.14it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.101 | Best: {'fx': 532.895} (0.101):  46%|████▌     | 23/50 [00:01<00:01, 19.14it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.100 | Best: {'fx': 532.895} (0.101):  48%|████▊     | 24/50 [00:01<00:01, 19.14it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.097 | Best: {'fx': 532.895} (0.101):  50%|█████     | 25/50 [00:01<00:01, 19.14it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.093 | Best: {'fx': 532.895} (0.101):  52%|█████▏    | 26/50 [00:01<00:01, 19.14it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.093 | Best: {'fx': 532.895} (0.101):  54%|█████▍    | 27/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.106 | Best: {'fx': 526.773} (0.106):  54%|█████▍    | 27/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.106 | Best: {'fx': 528.814} (0.106):  56%|█████▌    | 28/50 [00:01<00:01, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.096 | Best: {'fx': 528.814} (0.106):  58%|█████▊    | 29/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.090 | Best: {'fx': 528.814} (0.106):  60%|██████    | 30/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.104 | Best: {'fx': 528.814} (0.106):  62%|██████▏   | 31/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.098 | Best: {'fx': 528.814} (0.106):  64%|██████▍   | 32/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.105 | Best: {'fx': 528.814} (0.106):  66%|██████▌   | 33/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.084 | Best: {'fx': 528.814} (0.106):  68%|██████▊   | 34/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.088 | Best: {'fx': 528.814} (0.106):  70%|███████   | 35/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.104 | Best: {'fx': 528.814} (0.106):  72%|███████▏  | 36/50 [00:01<00:00, 21.72it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.104 | Best: {'fx': 528.814} (0.106):  74%|███████▍  | 37/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.105 | Best: {'fx': 528.814} (0.106):  74%|███████▍  | 37/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.106 | Best: {'fx': 529.834} (0.106):  76%|███████▌  | 38/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.081 | Best: {'fx': 529.834} (0.106):  78%|███████▊  | 39/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.080 | Best: {'fx': 529.834} (0.106):  80%|████████  | 40/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.077 | Best: {'fx': 529.834} (0.106):  82%|████████▏ | 41/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.071 | Best: {'fx': 529.834} (0.106):  84%|████████▍ | 42/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.074 | Best: {'fx': 529.834} (0.106):  86%|████████▌ | 43/50 [00:01<00:00, 36.37it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.074 | Best: {'fx': 529.834} (0.106):  88%|████████▊ | 44/50 [00:01<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.073 | Best: {'fx': 529.834} (0.106):  88%|████████▊ | 44/50 [00:02<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.066 | Best: {'fx': 529.834} (0.106):  90%|█████████ | 45/50 [00:02<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.069 | Best: {'fx': 529.834} (0.106):  92%|█████████▏| 46/50 [00:02<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.064 | Best: {'fx': 529.834} (0.106):  94%|█████████▍| 47/50 [00:02<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.062 | Best: {'fx': 529.834} (0.106):  96%|█████████▌| 48/50 [00:02<00:00, 42.59it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.062 | Best: {'fx': 529.834} (0.106):  98%|█████████▊| 49/50 [00:02<00:00, 42.97it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.060 | Best: {'fx': 529.834} (0.106):  98%|█████████▊| 49/50 [00:02<00:00, 42.97it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 529.8340548340549
    px: 997.0
    py: 736.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 10.4741: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 10.4741, picklable_objective(x0) = 10.4836

Best score: 10.4836: : 0iter [00:02, ?iter/s] 
Best score: 10.4836: : 1iter [00:02,  2.03s/iter]
Best score: 10.4836: : 1iter [00:02,  2.03s/iter]
Best score: 10.4836: : 2iter [00:02,  2.03s/iter]
Best score: 10.4836: : 3iter [00:02,  1.69iter/s]
Best score: 10.4836: : 3iter [00:02,  1.69iter/s]
Best score: 10.4836: : 4iter [00:02,  1.69iter/s]
Best score: 10.4836: : 5iter [00:02,  3.01iter/s]
Best score: 10.4836: : 5iter [00:02,  3.01iter/s]
Best score: 10.4836: : 6iter [00:02,  3.01iter/s]
Best score: 10.4836: : 7iter [00:02,  4.38iter/s]
Best score: 10.4836: : 7iter [00:02,  4.38iter/s]
Best score: 10.4836: : 8iter [00:02,  4.38iter/s]
Best score: 10.4836: : 9iter [00:02,  5.68iter/s]
Best score: 10.4836: : 9iter [00:02,  5.68iter/s]
Best score: 10.4836: : 10iter [00:02,  5.68iter/s]
Best score: 10.4836: : 11iter [00:02,  6.84iter/s]
Best score: 10.4836: : 11iter [00:03,  6.84iter/s]
Best score: 10.4836: : 12iter [00:03,  6.84iter/s]
Best score: 10.4836: : 13iter [00:03,  7.91iter/s]
Best score: 10.4836: : 13iter [00:03,  7.91iter/s]
Best score: 10.4836: : 14iter [00:03,  7.91iter/s]
Best score: 10.4836: : 15iter [00:03,  8.80iter/s]
Best score: 10.4836: : 15iter [00:03,  8.80iter/s]
Best score: 10.4836: : 16iter [00:03,  8.80iter/s]
Best score: 10.4836: : 17iter [00:03,  9.53iter/s]
Best score: 10.4836: : 17iter [00:03,  9.53iter/s]
Best score: 10.4836: : 18iter [00:03,  9.53iter/s]
Best score: 10.4836: : 19iter [00:03, 10.05iter/s]
Best score: 10.4836: : 19iter [00:03, 10.05iter/s]
Best score: 10.4836: : 20iter [00:03, 10.05iter/s]
Best score: 10.4836: : 21iter [00:03, 10.33iter/s]
Best score: 10.4836: : 21iter [00:03, 10.33iter/s]
Best score: 10.4836: : 22iter [00:03, 10.33iter/s]
Best score: 10.4836: : 23iter [00:03, 10.66iter/s]
Best score: 10.4836: : 23iter [00:04, 10.66iter/s]
Best score: 10.4836: : 24iter [00:04, 10.66iter/s]
Best score: 10.4836: : 25iter [00:04, 10.94iter/s]
Best score: 10.4836: : 25iter [00:04, 10.94iter/s]
Best score: 10.4836: : 26iter [00:04, 10.94iter/s]
Best score: 10.4836: : 27iter [00:04, 11.09iter/s]
Best score: 10.4836: : 27iter [00:04, 11.09iter/s]
Best score: 10.4836: : 28iter [00:04, 11.09iter/s]
Best score: 10.4836: : 29iter [00:04, 11.21iter/s]
Best score: 10.4836: : 29iter [00:04, 11.21iter/s]
Best score: 10.4836: : 30iter [00:04, 11.21iter/s]
Best score: 10.4836: : 31iter [00:04, 11.10iter/s]
Best score: 10.4836: : 31iter [00:04, 11.10iter/s]
Best score: 10.4836: : 32iter [00:04, 11.10iter/s]
Best score: 10.4836: : 33iter [00:04, 11.27iter/s]
Best score: 10.4836: : 33iter [00:04, 11.27iter/s]
Best score: 10.4836: : 34iter [00:05, 11.27iter/s]
Best score: 10.4836: : 35iter [00:05, 11.36iter/s]
Best score: 10.4836: : 35iter [00:05, 11.36iter/s]
Best score: 10.4836: : 36iter [00:05, 11.36iter/s]
Best score: 10.4836: : 37iter [00:05, 11.45iter/s]
Best score: 10.4836: : 37iter [00:05, 11.45iter/s]
Best score: 10.4836: : 38iter [00:05, 11.45iter/s]
Best score: 10.4836: : 39iter [00:05, 11.52iter/s]
Best score: 10.4836: : 39iter [00:05, 11.52iter/s]
Best score: 10.4836: : 40iter [00:05, 11.52iter/s]
Best score: 10.4836: : 41iter [00:05, 11.46iter/s]
Best score: 10.4836: : 41iter [00:05, 11.46iter/s]
Best score: 10.4836: : 42iter [00:05, 11.46iter/s]
Best score: 10.4836: : 43iter [00:05, 11.54iter/s]
Best score: 10.4836: : 43iter [00:05, 11.54iter/s]
Best score: 10.4836: : 44iter [00:05, 11.54iter/s]
Best score: 10.4836: : 45iter [00:05, 11.56iter/s]
Best score: 10.4836: : 45iter [00:05, 11.56iter/s]
Best score: 10.4836: : 46iter [00:06, 11.56iter/s]
Best score: 10.4836: : 47iter [00:06, 11.62iter/s]
Best score: 10.4836: : 47iter [00:06, 11.62iter/s]
Best score: 10.4836: : 48iter [00:06, 11.62iter/s]
Best score: 10.4836: : 49iter [00:06, 11.60iter/s]
[ITER 50] Best: 10.4836
[PARAMS] Current best parameters:
  fx: 529.8341
  fy: 529.8341
  px: 997.0000
  py: 736.0000
  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: 10.4836: : 49iter [00:06, 11.60iter/s]
Best score: 10.4836: : 50iter [00:06, 11.60iter/s]
Best score: 10.4836: : 51iter [00:06, 11.45iter/s]
Best score: 10.4836: : 51iter [00:06, 11.45iter/s]
Best score: 10.4836: : 52iter [00:06, 11.45iter/s]
Best score: 10.4836: : 53iter [00:06, 11.44iter/s]
Best score: 10.4836: : 53iter [00:06, 11.44iter/s]
Best score: 10.4836: : 54iter [00:06, 11.44iter/s]
Best score: 10.4836: : 55iter [00:06, 11.49iter/s]
Best score: 10.4836: : 55iter [00:06, 11.49iter/s]
Best score: 10.4836: : 56iter [00:06, 11.49iter/s]
Best score: 10.4836: : 57iter [00:06, 11.52iter/s]
Best score: 10.4836: : 57iter [00:07, 11.52iter/s]
Best score: 10.4836: : 58iter [00:07, 11.52iter/s]
Best score: 10.4836: : 59iter [00:07, 11.53iter/s]
Best score: 10.4836: : 59iter [00:07, 11.53iter/s]
Best score: 10.4836: : 60iter [00:07, 11.53iter/s]
Best score: 10.4836: : 61iter [00:07, 11.43iter/s]
Best score: 10.4836: : 61iter [00:07, 11.43iter/s]
Best score: 10.4836: : 62iter [00:07, 11.43iter/s]
Best score: 10.4836: : 63iter [00:07, 11.49iter/s]
Best score: 10.4836: : 63iter [00:07, 11.49iter/s]
Best score: 10.4836: : 64iter [00:07, 11.49iter/s]
Best score: 10.4836: : 65iter [00:07, 11.55iter/s]
Best score: 10.4836: : 65iter [00:07, 11.55iter/s]
Best score: 10.4836: : 66iter [00:07, 11.55iter/s]
Best score: 10.4836: : 67iter [00:07, 11.61iter/s]
Best score: 10.4836: : 67iter [00:07, 11.61iter/s]
Best score: 10.4836: : 68iter [00:07, 11.61iter/s]
Best score: 10.4836: : 69iter [00:07, 11.60iter/s]
Best score: 10.4836: : 69iter [00:08, 11.60iter/s]
Best score: 10.4836: : 70iter [00:08, 11.60iter/s]
Best score: 10.4836: : 71iter [00:08, 11.49iter/s]
Best score: 10.4836: : 71iter [00:08, 11.49iter/s]
Best score: 10.4836: : 72iter [00:08, 11.49iter/s]
Best score: 10.4836: : 73iter [00:08, 11.55iter/s]
Best score: 10.4836: : 73iter [00:08, 11.55iter/s]
Best score: 10.4836: : 74iter [00:08, 11.55iter/s]
Best score: 10.4836: : 75iter [00:08, 11.61iter/s]
Best score: 10.4836: : 75iter [00:08, 11.61iter/s]
Best score: 10.4836: : 76iter [00:08, 11.61iter/s]
Best score: 10.4836: : 77iter [00:08, 11.54iter/s]
Best score: 10.4836: : 77iter [00:08, 11.54iter/s]
Best score: 10.4836: : 78iter [00:08, 11.54iter/s]
Best score: 10.4836: : 79iter [00:08, 11.60iter/s]
Best score: 10.4836: : 79iter [00:08, 11.60iter/s]
Best score: 10.4836: : 80iter [00:08, 11.60iter/s]
Best score: 10.4836: : 81iter [00:08, 11.54iter/s]
Best score: 10.4836: : 81iter [00:09, 11.54iter/s]
Best score: 10.4836: : 82iter [00:09, 11.54iter/s]
Best score: 10.4836: : 83iter [00:09, 11.55iter/s]
Best score: 10.4836: : 83iter [00:09, 11.55iter/s]
Best score: 10.4836: : 84iter [00:09, 11.55iter/s]
Best score: 10.4836: : 85iter [00:09, 11.60iter/s]
Best score: 10.4836: : 85iter [00:09, 11.60iter/s]
Best score: 10.4836: : 86iter [00:09, 11.60iter/s]
Best score: 10.4836: : 87iter [00:09, 11.63iter/s]
Best score: 10.4836: : 87iter [00:09, 11.63iter/s]
Best score: 10.4836: : 88iter [00:09, 11.63iter/s]
Best score: 10.4836: : 89iter [00:09, 11.65iter/s]
Best score: 9.7943: : 89iter [00:09, 11.65iter/s] 
Best score: 9.7943: : 90iter [00:09, 11.65iter/s]
Best score: 9.7943: : 91iter [00:09, 11.45iter/s]
Best score: 9.7943: : 91iter [00:09, 11.45iter/s]
Best score: 9.7943: : 92iter [00:10, 11.45iter/s]
Best score: 9.7943: : 93iter [00:10, 11.52iter/s]
Best score: 9.7943: : 93iter [00:10, 11.52iter/s]
Best score: 9.7943: : 94iter [00:10, 11.52iter/s]
Best score: 9.7943: : 95iter [00:10, 11.59iter/s]
Best score: 9.7943: : 95iter [00:10, 11.59iter/s]
Best score: 9.7943: : 96iter [00:10, 11.59iter/s]
Best score: 9.7943: : 97iter [00:10, 11.65iter/s]
Best score: 9.7943: : 97iter [00:10, 11.65iter/s]
Best score: 9.7943: : 98iter [00:10, 11.65iter/s]
Best score: 9.7943: : 99iter [00:10, 11.71iter/s]
[ITER 100] Best: 9.7943
[PARAMS] Current best parameters:
  fx: 530.8748
  fy: 532.6954
  px: 998.7851
  py: 744.8009
  k1: -0.00592711
  k2: 0.01314165
  k3: 0.00076533
  k4: -0.00447603
  p1: 0.01469533
  p2: -0.00267887
  p3: -0.01152132
  p4: -0.00350050
  s1: -0.0085
  s2: -0.0025
  s3: 0.0064
  s4: 0.0004
  tilt_x: -0.0091
  tilt_y: -0.0248
  scale: 2.9464
  rotation: -0.4702

Best score: 9.7943: : 99iter [00:10, 11.71iter/s]
Best score: 9.7943: : 100iter [00:10, 11.71iter/s]
Best score: 9.7943: : 101iter [00:10, 10.04iter/s]
Best score: 9.7943: : 101iter [00:10, 10.04iter/s]
Best score: 9.7943: : 102iter [00:10, 10.04iter/s]
Best score: 9.7943: : 103iter [00:10, 10.43iter/s]
Best score: 9.7943: : 103iter [00:11, 10.43iter/s]
Best score: 9.7943: : 104iter [00:11, 10.43iter/s]
Best score: 9.7943: : 105iter [00:11, 10.75iter/s]
Best score: 9.7943: : 105iter [00:11, 10.75iter/s]
Best score: 9.7943: : 106iter [00:11, 10.75iter/s]
Best score: 9.7943: : 107iter [00:11, 10.97iter/s]
Best score: 9.7943: : 107iter [00:11, 10.97iter/s]
Best score: 9.7943: : 108iter [00:11, 10.97iter/s]
Best score: 9.7943: : 109iter [00:11, 11.12iter/s]
Best score: 9.7943: : 109iter [00:11, 11.12iter/s]
Best score: 9.7943: : 110iter [00:11, 11.12iter/s]
Best score: 9.7943: : 111iter [00:11, 11.07iter/s]
Best score: 9.7943: : 111iter [00:11, 11.07iter/s]
Best score: 9.7943: : 112iter [00:11, 11.07iter/s]
Best score: 9.7943: : 113iter [00:11, 11.18iter/s]
Best score: 9.7943: : 113iter [00:11, 11.18iter/s]
Best score: 9.7943: : 114iter [00:12, 11.18iter/s]
Best score: 9.7943: : 115iter [00:12, 11.27iter/s]
Best score: 9.7943: : 115iter [00:12, 11.27iter/s]
Best score: 9.7943: : 116iter [00:12, 11.27iter/s]
Best score: 9.7943: : 117iter [00:12, 11.33iter/s]
Best score: 9.7943: : 117iter [00:12, 11.33iter/s]
Best score: 9.7943: : 118iter [00:12, 11.33iter/s]
Best score: 9.7943: : 119iter [00:12, 11.39iter/s]
Best score: 9.7943: : 119iter [00:12, 11.39iter/s]
Best score: 9.7943: : 120iter [00:12, 11.39iter/s]
Best score: 9.7943: : 121iter [00:12, 11.25iter/s]
Best score: 9.7943: : 121iter [00:12, 11.25iter/s]
Best score: 9.7943: : 122iter [00:12, 11.25iter/s]
Best score: 9.7943: : 123iter [00:12, 11.31iter/s]
Best score: 9.7943: : 123iter [00:12, 11.31iter/s]
Best score: 9.7943: : 124iter [00:12, 11.31iter/s]
Best score: 9.7943: : 125iter [00:12, 11.38iter/s]
Best score: 9.7943: : 125iter [00:13, 11.38iter/s]
Best score: 9.7943: : 126iter [00:13, 11.38iter/s]
Best score: 9.7943: : 127iter [00:13, 11.48iter/s]
Best score: 9.7943: : 127iter [00:13, 11.48iter/s]
Best score: 9.7943: : 128iter [00:13, 11.48iter/s]
Best score: 9.7943: : 129iter [00:13, 11.54iter/s]
Best score: 9.7943: : 129iter [00:13, 11.54iter/s]
Best score: 9.7943: : 130iter [00:13, 11.54iter/s]
Best score: 9.7943: : 131iter [00:13, 11.40iter/s]
Best score: 9.7943: : 131iter [00:13, 11.40iter/s]
Best score: 9.7943: : 132iter [00:13, 11.40iter/s]
Best score: 9.7943: : 133iter [00:13, 11.48iter/s]
Best score: 9.7943: : 133iter [00:13, 11.48iter/s]
Best score: 9.7943: : 134iter [00:13, 11.48iter/s]
Best score: 9.7943: : 135iter [00:13, 11.52iter/s]
Best score: 9.7943: : 135iter [00:13, 11.52iter/s]
Best score: 9.7943: : 136iter [00:13, 11.52iter/s]
Best score: 9.7943: : 137iter [00:13, 11.55iter/s]
Best score: 9.7943: : 137iter [00:14, 11.55iter/s]
Best score: 9.7943: : 138iter [00:14, 11.55iter/s]
Best score: 9.7943: : 139iter [00:14, 11.61iter/s]
Best score: 9.7943: : 139iter [00:14, 11.61iter/s]
Best score: 9.7943: : 140iter [00:14, 11.61iter/s]
Best score: 9.7943: : 141iter [00:14, 11.41iter/s]
Best score: 9.7943: : 141iter [00:14, 11.41iter/s]
Best score: 9.7943: : 142iter [00:14, 11.41iter/s]
Best score: 9.7943: : 143iter [00:14, 11.46iter/s]
Best score: 9.7943: : 143iter [00:14, 11.46iter/s]
Best score: 9.7943: : 144iter [00:14, 11.46iter/s]
Best score: 9.7943: : 145iter [00:14, 11.53iter/s]
Best score: 9.7943: : 145iter [00:14, 11.53iter/s]
Best score: 9.7943: : 146iter [00:14, 11.53iter/s]
Best score: 9.7943: : 147iter [00:14, 11.56iter/s]
Best score: 9.7943: : 147iter [00:14, 11.56iter/s]
Best score: 9.7943: : 148iter [00:14, 11.56iter/s]
Best score: 9.7943: : 149iter [00:14, 11.67iter/s]
[ITER 150] Best: 9.7943
[PARAMS] Current best parameters:
  fx: 530.8748
  fy: 532.6954
  px: 998.7851
  py: 744.8009
  k1: -0.00592711
  k2: 0.01314165
  k3: 0.00076533
  k4: -0.00447603
  p1: 0.01469533
  p2: -0.00267887
  p3: -0.01152132
  p4: -0.00350050
  s1: -0.0085
  s2: -0.0025
  s3: 0.0064
  s4: 0.0004
  tilt_x: -0.0091
  tilt_y: -0.0248
  scale: 2.9464
  rotation: -0.4702

Best score: 9.7943: : 149iter [00:15, 11.67iter/s]
Best score: 9.7943: : 150iter [00:15, 11.67iter/s]
Best score: 9.7943: : 151iter [00:15,  7.31iter/s]
Best score: 9.7943: : 151iter [00:15,  7.31iter/s]
Best score: 9.7943: : 152iter [00:15,  7.31iter/s]
Best score: 9.7943: : 153iter [00:15,  8.25iter/s]
Best score: 9.7943: : 153iter [00:15,  8.25iter/s]
Best score: 9.7943: : 154iter [00:15,  8.25iter/s]
Best score: 9.7943: : 155iter [00:15,  9.05iter/s]
Best score: 9.7943: : 155iter [00:15,  9.05iter/s]
Best score: 9.7943: : 156iter [00:16,  9.05iter/s]
Best score: 9.7943: : 157iter [00:16,  9.74iter/s]
Best score: 9.7943: : 157iter [00:16,  9.74iter/s]
Best score: 9.7943: : 158iter [00:16,  9.74iter/s]
Best score: 9.7943: : 159iter [00:16, 10.25iter/s]
Best score: 9.7943: : 159iter [00:16, 10.25iter/s]
Best score: 9.7943: : 160iter [00:16, 10.25iter/s]
Best score: 9.7943: : 161iter [00:16, 10.46iter/s]
Best score: 9.7943: : 161iter [00:16, 10.46iter/s]
Best score: 9.7943: : 162iter [00:16, 10.46iter/s]
Best score: 9.7943: : 163iter [00:16, 10.82iter/s]
Best score: 9.7943: : 163iter [00:16, 10.82iter/s]
Best score: 9.7943: : 164iter [00:16, 10.82iter/s]
Best score: 9.7943: : 165iter [00:16, 11.11iter/s]
Best score: 9.7943: : 165iter [00:16, 11.11iter/s]
Best score: 9.7943: : 166iter [00:16, 11.11iter/s]
Best score: 9.7943: : 167iter [00:16, 11.31iter/s]
Best score: 9.7943: : 167iter [00:16, 11.31iter/s]
Best score: 9.7943: : 168iter [00:17, 11.31iter/s]
Best score: 9.7943: : 169iter [00:17, 11.44iter/s]
Best score: 9.7943: : 169iter [00:17, 11.44iter/s]
Best score: 9.7943: : 170iter [00:17, 11.44iter/s]
Best score: 9.7943: : 171iter [00:17, 11.32iter/s]
Best score: 9.7943: : 171iter [00:17, 11.32iter/s]
Best score: 9.7943: : 172iter [00:17, 11.32iter/s]
Best score: 9.7943: : 173iter [00:17, 11.44iter/s]
Best score: 9.7943: : 173iter [00:17, 11.44iter/s]
Best score: 9.7943: : 174iter [00:17, 11.44iter/s]
Best score: 9.7943: : 175iter [00:17, 11.52iter/s]
Best score: 9.7943: : 175iter [00:17, 11.52iter/s]
Best score: 9.7943: : 176iter [00:17, 11.52iter/s]
Best score: 9.7943: : 177iter [00:17, 11.60iter/s]
Best score: 9.7943: : 177iter [00:17, 11.60iter/s]
Best score: 9.7943: : 178iter [00:17, 11.60iter/s]
Best score: 9.7943: : 179iter [00:17, 11.69iter/s]
Best score: 9.7943: : 179iter [00:17, 11.69iter/s]
Best score: 9.7943: : 180iter [00:18, 11.69iter/s]
Best score: 9.7943: : 181iter [00:18, 11.53iter/s]
Best score: 9.7943: : 181iter [00:18, 11.53iter/s]
Best score: 9.7943: : 182iter [00:18, 11.53iter/s]
Best score: 9.7943: : 183iter [00:18, 11.65iter/s]
Best score: 9.7943: : 183iter [00:18, 11.65iter/s]
Best score: 9.7943: : 184iter [00:18, 11.65iter/s]
Best score: 9.7943: : 185iter [00:18, 11.70iter/s]
Best score: 9.7943: : 185iter [00:18, 11.70iter/s]
Best score: 9.7943: : 186iter [00:18, 11.70iter/s]
Best score: 9.7943: : 187iter [00:18, 11.69iter/s]
Best score: 9.7943: : 187iter [00:18, 11.69iter/s]
Best score: 9.7943: : 188iter [00:18, 11.69iter/s]
Best score: 9.7943: : 189iter [00:18, 11.73iter/s]
Best score: 7.8663: : 189iter [00:18, 11.73iter/s]
Best score: 7.8663: : 190iter [00:18, 11.73iter/s]
Best score: 7.8663: : 191iter [00:18, 11.54iter/s]
Best score: 7.8663: : 191iter [00:19, 11.54iter/s]
Best score: 7.8663: : 192iter [00:19, 11.54iter/s]
Best score: 7.8663: : 193iter [00:19, 11.60iter/s]
Best score: 7.8663: : 193iter [00:19, 11.60iter/s]
Best score: 7.8663: : 194iter [00:19, 11.60iter/s]
Best score: 7.8663: : 195iter [00:19, 11.63iter/s]
Best score: 7.8663: : 195iter [00:19, 11.63iter/s]
Best score: 7.8663: : 196iter [00:19, 11.63iter/s]
Best score: 7.8663: : 197iter [00:19, 11.57iter/s]
Best score: 7.8663: : 197iter [00:19, 11.57iter/s]
Best score: 7.8663: : 198iter [00:19, 11.57iter/s]
Best score: 7.8663: : 199iter [00:19, 11.59iter/s]
[ITER 200] Best: 5.5604
[PARAMS] Current best parameters:
  fx: 537.5144
  fy: 537.2864
  px: 1002.8554
  py: 745.3285
  k1: -0.02056729
  k2: 0.01971899
  k3: -0.00571311
  k4: -0.00055573
  p1: 0.02054354
  p2: 0.01182013
  p3: 0.00078873
  p4: -0.00373026
  s1: -0.0079
  s2: -0.0085
  s3: -0.0023
  s4: -0.0000
  tilt_x: -0.0197
  tilt_y: -0.0180
  scale: 2.9632
  rotation: -0.2175

Best score: 5.5604: : 199iter [00:19, 11.59iter/s]
Best score: 5.5604: : 200iter [00:20, 11.59iter/s]
Best score: 5.5604: : 201iter [00:20,  7.52iter/s]
Best score: 5.5604: : 201iter [00:20,  7.52iter/s]
Best score: 5.5604: : 202iter [00:20,  7.52iter/s]
Best score: 5.5604: : 203iter [00:20,  8.45iter/s]
Best score: 5.5604: : 203iter [00:20,  8.45iter/s]
Best score: 5.5604: : 204iter [00:20,  8.45iter/s]
Best score: 5.5604: : 205iter [00:20,  8.93iter/s]
Best score: 5.5604: : 205iter [00:20,  8.93iter/s]
Best score: 5.5604: : 206iter [00:20,  8.93iter/s]
Best score: 5.5604: : 207iter [00:20,  9.61iter/s]
Best score: 5.5604: : 207iter [00:20,  9.61iter/s]
Best score: 5.5604: : 208iter [00:20,  9.61iter/s]
Best score: 5.5604: : 209iter [00:20,  9.70iter/s]
Best score: 5.5604: : 209iter [00:20,  9.70iter/s]
Best score: 5.5604: : 210iter [00:21,  9.70iter/s]
Best score: 5.5604: : 211iter [00:21, 10.09iter/s]
Best score: 5.5604: : 211iter [00:21, 10.09iter/s]
Best score: 5.5604: : 212iter [00:21, 10.09iter/s]
Best score: 5.5604: : 213iter [00:21, 10.54iter/s]
Best score: 5.5604: : 213iter [00:21, 10.54iter/s]
Best score: 5.5604: : 214iter [00:21, 10.54iter/s]
Best score: 5.5604: : 215iter [00:21, 10.90iter/s]
Best score: 5.5604: : 215iter [00:21, 10.90iter/s]
Best score: 5.5604: : 216iter [00:21, 10.90iter/s]
Best score: 5.5604: : 217iter [00:21, 11.15iter/s]
Best score: 5.5604: : 217iter [00:21, 11.15iter/s]
Best score: 5.5604: : 218iter [00:21, 11.15iter/s]
Best score: 5.5604: : 219iter [00:21, 11.35iter/s]
Best score: 5.5604: : 219iter [00:21, 11.35iter/s]
Best score: 5.5604: : 220iter [00:21, 11.35iter/s]
Best score: 5.5604: : 221iter [00:21, 11.30iter/s]
Best score: 5.5604: : 221iter [00:21, 11.30iter/s]
Best score: 5.5604: : 222iter [00:22, 11.30iter/s]
Best score: 5.5604: : 223iter [00:22, 11.15iter/s]
Best score: 5.5604: : 223iter [00:22, 11.15iter/s]
Best score: 5.5604: : 224iter [00:22, 11.15iter/s]
Best score: 5.5604: : 225iter [00:22, 11.14iter/s]
Best score: 5.5604: : 225iter [00:22, 11.14iter/s]
Best score: 5.5604: : 226iter [00:22, 11.14iter/s]
Best score: 5.5604: : 227iter [00:22, 11.35iter/s]
Best score: 5.5604: : 227iter [00:22, 11.35iter/s]
Best score: 5.5604: : 228iter [00:22, 11.35iter/s]
Best score: 5.5604: : 229iter [00:22, 11.48iter/s]
Best score: 2.9036: : 229iter [00:22, 11.48iter/s]
Best score: 2.9036: : 230iter [00:22, 11.48iter/s]
Best score: 2.9036: : 231iter [00:22, 11.38iter/s]
Best score: 2.9036: : 231iter [00:22, 11.38iter/s]
Best score: 2.9036: : 232iter [00:22, 11.38iter/s]
Best score: 2.9036: : 233iter [00:22, 11.52iter/s]
Best score: 2.9036: : 233iter [00:23, 11.52iter/s]
Best score: 2.9036: : 234iter [00:23, 11.52iter/s]
Best score: 2.9036: : 235iter [00:23, 11.60iter/s]
Best score: 2.9036: : 235iter [00:23, 11.60iter/s]
Best score: 2.9036: : 236iter [00:23, 11.60iter/s]
Best score: 2.9036: : 237iter [00:23, 11.64iter/s]
Best score: 2.9036: : 237iter [00:23, 11.64iter/s]
Best score: 2.9036: : 238iter [00:23, 11.64iter/s]
Best score: 2.9036: : 239iter [00:23, 11.71iter/s]
Best score: 1.9681: : 239iter [00:23, 11.71iter/s]
Best score: 1.9681: : 240iter [00:23, 11.71iter/s]
Best score: 1.9681: : 241iter [00:23, 11.58iter/s]
Best score: 1.9681: : 241iter [00:23, 11.58iter/s]
Best score: 1.9681: : 242iter [00:23, 11.58iter/s]
Best score: 1.9681: : 243iter [00:23, 11.68iter/s]
Best score: 1.9681: : 243iter [00:23, 11.68iter/s]
Best score: 1.9681: : 244iter [00:23, 11.68iter/s]
Best score: 1.9681: : 245iter [00:23, 11.72iter/s]
Best score: 1.9681: : 245iter [00:24, 11.72iter/s]
Best score: 1.9681: : 246iter [00:24, 11.72iter/s]
Best score: 1.9681: : 247iter [00:24, 11.74iter/s]
Best score: 1.9681: : 247iter [00:24, 11.74iter/s]
Best score: 1.9681: : 248iter [00:24, 11.74iter/s]
Best score: 1.9681: : 249iter [00:24, 11.73iter/s]
[ITER 250] Best: 1.6934
[PARAMS] Current best parameters:
  fx: 525.3236
  fy: 523.9148
  px: 988.4609
  py: 746.1890
  k1: -0.00731930
  k2: 0.00522764
  k3: 0.00563379
  k4: -0.00324262
  p1: 0.01885235
  p2: -0.00282726
  p3: -0.02353467
  p4: -0.01227566
  s1: 0.0056
  s2: 0.0241
  s3: 0.0224
  s4: 0.0047
  tilt_x: -0.0193
  tilt_y: 0.0334
  scale: 3.0243
  rotation: -0.6703

Best score: 1.6934: : 249iter [00:24, 11.73iter/s]
Best score: 1.6934: : 250iter [00:24, 11.73iter/s]
Best score: 1.6934: : 251iter [00:24,  7.52iter/s]
Best score: 1.6934: : 251iter [00:24,  7.52iter/s]
Best score: 1.6934: : 252iter [00:24,  7.52iter/s]
Best score: 1.6934: : 253iter [00:24,  8.42iter/s]
Best score: 1.6934: : 253iter [00:25,  8.42iter/s]
Best score: 1.6934: : 254iter [00:25,  8.42iter/s]
Best score: 1.6934: : 255iter [00:25,  9.22iter/s]
Best score: 1.6934: : 255iter [00:25,  9.22iter/s]
Best score: 1.6934: : 256iter [00:25,  9.22iter/s]
Best score: 1.6934: : 257iter [00:25,  9.86iter/s]
Best score: 1.6934: : 257iter [00:25,  9.86iter/s]
Best score: 1.6934: : 258iter [00:25,  9.86iter/s]
Best score: 1.6934: : 259iter [00:25, 10.36iter/s]
Best score: 1.1826: : 259iter [00:25, 10.36iter/s]
Best score: 1.1826: : 260iter [00:25, 10.36iter/s]
Best score: 1.1826: : 261iter [00:25, 10.06iter/s]
Best score: 1.1826: : 261iter [00:25, 10.06iter/s]
Best score: 1.1826: : 262iter [00:25, 10.06iter/s]
Best score: 1.1826: : 263iter [00:25,  8.83iter/s]
Best score: 1.1826: : 263iter [00:26,  8.83iter/s]
Best score: 1.1826: : 264iter [00:26,  8.38iter/s]
Best score: 1.1826: : 264iter [00:26,  8.38iter/s]
Best score: 1.1826: : 265iter [00:26,  5.38iter/s]
Best score: 1.1826: : 265iter [00:26,  5.38iter/s]
Best score: 1.1826: : 266iter [00:26,  5.66iter/s]
Best score: 1.1826: : 266iter [00:26,  5.66iter/s]
Best score: 1.1826: : 267iter [00:26,  5.94iter/s]
Best score: 1.1826: : 267iter [00:26,  5.94iter/s]
Best score: 1.1826: : 268iter [00:26,  6.16iter/s]
Best score: 1.1826: : 268iter [00:27,  6.16iter/s]
Best score: 1.1826: : 269iter [00:27,  6.41iter/s]
Best score: 1.1826: : 269iter [00:27,  6.41iter/s]
Best score: 1.1826: : 270iter [00:27,  6.56iter/s]
Best score: 1.1826: : 270iter [00:27,  6.56iter/s]
Best score: 1.1826: : 271iter [00:27,  6.61iter/s]
Best score: 1.1826: : 271iter [00:27,  6.61iter/s]
Best score: 1.1826: : 272iter [00:27,  6.59iter/s]
Best score: 1.1826: : 272iter [00:27,  6.59iter/s]
Best score: 1.1826: : 273iter [00:27,  6.75iter/s]
Best score: 1.1826: : 273iter [00:27,  6.75iter/s]
Best score: 1.1826: : 274iter [00:27,  6.66iter/s]
Best score: 1.1826: : 274iter [00:28,  6.66iter/s]
Best score: 1.1826: : 275iter [00:28,  6.71iter/s]
Best score: 1.1826: : 275iter [00:28,  6.71iter/s]
Best score: 1.1826: : 276iter [00:28,  6.77iter/s]
Best score: 1.1826: : 276iter [00:28,  6.77iter/s]
Best score: 1.1826: : 277iter [00:28,  6.93iter/s]
Best score: 1.1826: : 277iter [00:28,  6.93iter/s]
Best score: 1.1826: : 278iter [00:28,  6.95iter/s]
Best score: 1.1826: : 278iter [00:28,  6.95iter/s]
Best score: 1.1826: : 279iter [00:28,  6.99iter/s]
Best score: 1.1826: : 279iter [00:28,  6.99iter/s]
Best score: 1.1826: : 280iter [00:28,  6.96iter/s]
Best score: 1.1826: : 280iter [00:28,  6.96iter/s]
Best score: 1.1826: : 281iter [00:28,  7.24iter/s]
Best score: 1.1826: : 281iter [00:28,  7.24iter/s]
Best score: 1.1826: : 282iter [00:28,  7.40iter/s]
Best score: 1.1826: : 282iter [00:29,  7.40iter/s]
Best score: 1.1826: : 283iter [00:29,  7.36iter/s]
Best score: 1.1826: : 283iter [00:29,  7.36iter/s]
Best score: 1.1826: : 284iter [00:29,  7.39iter/s]
Best score: 1.1826: : 284iter [00:29,  7.39iter/s]
Best score: 1.1826: : 285iter [00:29,  7.46iter/s]
Best score: 1.1826: : 285iter [00:29,  7.46iter/s]
Best score: 1.1826: : 286iter [00:29,  7.32iter/s]
Best score: 1.1826: : 286iter [00:29,  7.32iter/s]
Best score: 1.1826: : 287iter [00:29,  7.16iter/s]
Best score: 1.1826: : 287iter [00:29,  7.16iter/s]
Best score: 1.1826: : 288iter [00:29,  7.14iter/s]
Best score: 1.1826: : 288iter [00:29,  7.14iter/s]
Best score: 1.1826: : 289iter [00:29,  7.10iter/s]
Best score: 1.0027: : 289iter [00:30,  7.10iter/s]
Best score: 1.0027: : 290iter [00:30,  6.92iter/s]
Best score: 1.0027: : 290iter [00:30,  6.92iter/s]
Best score: 1.0027: : 291iter [00:30,  6.73iter/s]
Best score: 1.0027: : 291iter [00:30,  6.73iter/s]
Best score: 1.0027: : 292iter [00:30,  6.74iter/s]
Best score: 1.0027: : 292iter [00:30,  6.74iter/s]
Best score: 1.0027: : 293iter [00:30,  6.70iter/s]
Best score: 1.0027: : 293iter [00:30,  6.70iter/s]
Best score: 1.0027: : 294iter [00:30,  6.64iter/s]
Best score: 1.0027: : 294iter [00:30,  6.64iter/s]
Best score: 1.0027: : 295iter [00:30,  6.65iter/s]
Best score: 1.0027: : 295iter [00:31,  6.65iter/s]
Best score: 1.0027: : 296iter [00:31,  6.83iter/s]
Best score: 1.0027: : 296iter [00:31,  6.83iter/s]
Best score: 1.0027: : 297iter [00:31,  6.97iter/s]
Best score: 1.0027: : 297iter [00:31,  6.97iter/s]
Best score: 1.0027: : 298iter [00:31,  6.96iter/s]
Best score: 1.0027: : 298iter [00:31,  6.96iter/s]
Best score: 1.0027: : 299iter [00:31,  7.01iter/s]
Best score: 1.0027: : 299iter [00:31,  7.01iter/s]
Best score: 1.0027: : 300iter [00:31,  6.88iter/s]
[ITER 300] Best: 1.0027
[PARAMS] Current best parameters:
  fx: 538.4318
  fy: 540.0118
  px: 1005.8860
  py: 737.2965
  k1: -0.01209348
  k2: -0.01025619
  k3: 0.01828224
  k4: -0.00709376
  p1: 0.00808890
  p2: 0.01697199
  p3: -0.01599957
  p4: -0.00748209
  s1: -0.0018
  s2: 0.0142
  s3: 0.0121
  s4: 0.0029
  tilt_x: -0.0348
  tilt_y: -0.0188
  scale: 3.0088
  rotation: -0.3575

Best score: 1.0027: : 300iter [00:32,  6.88iter/s]
Best score: 1.0027: : 301iter [00:32,  3.30iter/s]
Best score: 1.0027: : 301iter [00:32,  3.30iter/s]
Best score: 1.0027: : 302iter [00:32,  3.87iter/s]
Best score: 1.0027: : 302iter [00:32,  3.87iter/s]
Best score: 1.0027: : 303iter [00:32,  4.45iter/s]
Best score: 1.0027: : 303iter [00:32,  4.45iter/s]
Best score: 1.0027: : 304iter [00:32,  5.03iter/s]
Best score: 1.0027: : 304iter [00:32,  5.03iter/s]
Best score: 1.0027: : 305iter [00:32,  5.54iter/s]
Best score: 1.0027: : 305iter [00:32,  5.54iter/s]
Best score: 1.0027: : 306iter [00:32,  5.92iter/s]
Best score: 1.0027: : 306iter [00:33,  5.92iter/s]
Best score: 1.0027: : 307iter [00:33,  6.25iter/s]
Best score: 1.0027: : 307iter [00:33,  6.25iter/s]
Best score: 1.0027: : 308iter [00:33,  6.27iter/s]
Best score: 1.0027: : 308iter [00:33,  6.27iter/s]
Best score: 1.0027: : 309iter [00:33,  6.55iter/s]
Best score: 1.0027: : 309iter [00:33,  6.55iter/s]
Best score: 1.0027: : 310iter [00:33,  6.46iter/s]
Best score: 1.0027: : 310iter [00:33,  6.46iter/s]
Best score: 1.0027: : 311iter [00:33,  6.64iter/s]
Best score: 1.0027: : 311iter [00:33,  6.64iter/s]
Best score: 1.0027: : 312iter [00:33,  6.83iter/s]
Best score: 1.0027: : 312iter [00:33,  6.83iter/s]
Best score: 1.0027: : 313iter [00:33,  7.04iter/s]
Best score: 1.0027: : 313iter [00:34,  7.04iter/s]
Best score: 1.0027: : 314iter [00:34,  6.90iter/s]
Best score: 1.0027: : 314iter [00:34,  6.90iter/s]
Best score: 1.0027: : 315iter [00:34,  6.90iter/s]
Best score: 1.0027: : 315iter [00:34,  6.90iter/s]
Best score: 1.0027: : 316iter [00:34,  6.97iter/s]
Best score: 1.0027: : 316iter [00:34,  6.97iter/s]
Best score: 1.0027: : 317iter [00:34,  7.11iter/s]
Best score: 1.0027: : 317iter [00:34,  7.11iter/s]
Best score: 1.0027: : 318iter [00:34,  7.42iter/s]
Best score: 1.0027: : 318iter [00:34,  7.42iter/s]
Best score: 0.9295: : 319iter [00:34,  7.42iter/s]
Best score: 0.9295: : 320iter [00:34,  8.26iter/s]
Best score: 0.9295: : 320iter [00:35,  8.26iter/s]
Best score: 0.9295: : 321iter [00:35,  7.96iter/s]
Best score: 0.9295: : 321iter [00:35,  7.96iter/s]
Best score: 0.9295: : 322iter [00:35,  7.64iter/s]
Best score: 0.9295: : 322iter [00:35,  7.64iter/s]
Best score: 0.9295: : 323iter [00:35,  7.46iter/s]
Best score: 0.9295: : 323iter [00:35,  7.46iter/s]
Best score: 0.9295: : 324iter [00:35,  7.22iter/s]
Best score: 0.9295: : 324iter [00:35,  7.22iter/s]
Best score: 0.9295: : 325iter [00:35,  7.18iter/s]
Best score: 0.9295: : 325iter [00:35,  7.18iter/s]
Best score: 0.9295: : 326iter [00:35,  7.19iter/s]
Best score: 0.9295: : 326iter [00:35,  7.19iter/s]
Best score: 0.9295: : 327iter [00:35,  7.14iter/s]
Best score: 0.9295: : 327iter [00:36,  7.14iter/s]
Best score: 0.9295: : 328iter [00:36,  6.94iter/s]
Best score: 0.9295: : 328iter [00:36,  6.94iter/s]
Best score: 0.9295: : 329iter [00:36,  6.85iter/s]
Best score: 0.5780: : 329iter [00:36,  6.85iter/s]
Best score: 0.5780: : 330iter [00:36,  6.68iter/s]
Best score: 0.5780: : 330iter [00:36,  6.68iter/s]
Best score: 0.5780: : 331iter [00:36,  6.70iter/s]
Best score: 0.5780: : 331iter [00:36,  6.70iter/s]
Best score: 0.5780: : 332iter [00:36,  6.94iter/s]
Best score: 0.5780: : 332iter [00:36,  6.94iter/s]
Best score: 0.5780: : 333iter [00:36,  7.04iter/s]
Best score: 0.5780: : 333iter [00:36,  7.04iter/s]
Best score: 0.5780: : 334iter [00:36,  7.12iter/s]
Best score: 0.5780: : 334iter [00:37,  7.12iter/s]
Best score: 0.5780: : 335iter [00:37,  7.11iter/s]
Best score: 0.5780: : 335iter [00:37,  7.11iter/s]
Best score: 0.5780: : 336iter [00:37,  7.21iter/s]
Best score: 0.5780: : 336iter [00:37,  7.21iter/s]
Best score: 0.5780: : 337iter [00:37,  7.27iter/s]
Best score: 0.5780: : 337iter [00:37,  7.27iter/s]
Best score: 0.5780: : 338iter [00:37,  7.25iter/s]
Best score: 0.5780: : 338iter [00:37,  7.25iter/s]
Best score: 0.5780: : 339iter [00:37,  7.17iter/s]
Best score: 0.5780: : 339iter [00:37,  7.17iter/s]
Best score: 0.5780: : 340iter [00:37,  6.75iter/s]
Best score: 0.5780: : 340iter [00:37,  6.75iter/s]
Best score: 0.5780: : 341iter [00:37,  6.88iter/s]
Best score: 0.5780: : 341iter [00:38,  6.88iter/s]
Best score: 0.5780: : 342iter [00:38,  6.92iter/s]
Best score: 0.5780: : 342iter [00:38,  6.92iter/s]
Best score: 0.5780: : 343iter [00:38,  6.75iter/s]
Best score: 0.5780: : 343iter [00:38,  6.75iter/s]
Best score: 0.5780: : 344iter [00:38,  6.86iter/s]
Best score: 0.5780: : 344iter [00:38,  6.86iter/s]
Best score: 0.5780: : 345iter [00:38,  6.88iter/s]
Best score: 0.5780: : 345iter [00:38,  6.88iter/s]
Best score: 0.5780: : 346iter [00:38,  7.02iter/s]
Best score: 0.5780: : 346iter [00:38,  7.02iter/s]
Best score: 0.5780: : 347iter [00:38,  6.99iter/s]
Best score: 0.5780: : 347iter [00:38,  6.99iter/s]
Best score: 0.5780: : 348iter [00:38,  6.98iter/s]
Best score: 0.5780: : 348iter [00:39,  6.98iter/s]
Best score: 0.5780: : 349iter [00:39,  7.06iter/s]
[ITER 350] Best: 0.5780
[PARAMS] Current best parameters:
  fx: 524.4125
  fy: 525.1433
  px: 1010.6503
  py: 740.1550
  k1: 0.01302512
  k2: -0.03431350
  k3: 0.03282009
  k4: -0.00970824
  p1: 0.01310955
  p2: 0.02960713
  p3: -0.01403716
  p4: -0.00765144
  s1: -0.0003
  s2: 0.0034
  s3: 0.0090
  s4: 0.0041
  tilt_x: -0.0327
  tilt_y: -0.0096
  scale: 3.0110
  rotation: -0.3990

Best score: 0.5780: : 349iter [00:39,  7.06iter/s]
Best score: 0.5780: : 350iter [00:39,  6.84iter/s]
Best score: 0.5780: : 350iter [00:39,  6.84iter/s]
Best score: 0.5780: : 351iter [00:39,  3.64iter/s]
Best score: 0.5780: : 351iter [00:39,  3.64iter/s]
Best score: 0.5780: : 352iter [00:39,  4.30iter/s]
Best score: 0.5780: : 352iter [00:40,  4.30iter/s]
Best score: 0.5780: : 353iter [00:40,  4.92iter/s]
Best score: 0.5780: : 353iter [00:40,  4.92iter/s]
Best score: 0.5780: : 354iter [00:40,  5.49iter/s]
Best score: 0.5780: : 354iter [00:40,  5.49iter/s]
Best score: 0.5780: : 355iter [00:40,  6.06iter/s]
Best score: 0.5780: : 355iter [00:40,  6.06iter/s]
Best score: 0.5780: : 356iter [00:40,  6.79iter/s]
Best score: 0.5780: : 356iter [00:40,  6.79iter/s]
Best score: 0.5780: : 357iter [00:40,  6.79iter/s]
Best score: 0.5780: : 358iter [00:40,  8.34iter/s]
Best score: 0.5780: : 358iter [00:40,  8.34iter/s]
Best score: 0.4047: : 359iter [00:40,  8.34iter/s]
Best score: 0.4047: : 360iter [00:40,  9.23iter/s]
Best score: 0.4047: : 360iter [00:40,  9.23iter/s]
Best score: 0.4047: : 361iter [00:40,  9.23iter/s]
Best score: 0.4047: : 362iter [00:40, 10.00iter/s]
Best score: 0.4047: : 362iter [00:41, 10.00iter/s]
Best score: 0.4047: : 363iter [00:41, 10.00iter/s]
Best score: 0.4047: : 364iter [00:41, 10.56iter/s]
Best score: 0.4047: : 364iter [00:41, 10.56iter/s]
Best score: 0.4047: : 365iter [00:41, 10.56iter/s]
Best score: 0.4047: : 366iter [00:41, 10.91iter/s]
Best score: 0.4047: : 366iter [00:41, 10.91iter/s]
Best score: 0.4047: : 367iter [00:41, 10.91iter/s]
Best score: 0.4047: : 368iter [00:41, 11.17iter/s]
Best score: 0.4047: : 368iter [00:41, 11.17iter/s]
Best score: 0.4009: : 369iter [00:41, 11.17iter/s]
Best score: 0.4009: : 370iter [00:41, 11.17iter/s]
Best score: 0.4009: : 370iter [00:41, 11.17iter/s]
Best score: 0.4009: : 371iter [00:41, 11.17iter/s]
Best score: 0.4009: : 372iter [00:41, 11.36iter/s]
Best score: 0.4009: : 372iter [00:41, 11.36iter/s]
Best score: 0.4009: : 373iter [00:41, 11.36iter/s]
Best score: 0.4009: : 374iter [00:41, 11.48iter/s]
Best score: 0.4009: : 374iter [00:42, 11.48iter/s]
Best score: 0.4009: : 375iter [00:42, 11.48iter/s]
Best score: 0.4009: : 376iter [00:42, 11.56iter/s]
Best score: 0.4009: : 376iter [00:42, 11.56iter/s]
Best score: 0.4009: : 377iter [00:42, 11.56iter/s]
Best score: 0.4009: : 378iter [00:42, 11.63iter/s]
Best score: 0.4009: : 378iter [00:42, 11.63iter/s]
Best score: 0.3987: : 379iter [00:42, 11.63iter/s]
Best score: 0.3987: : 380iter [00:42, 10.31iter/s]
Best score: 0.3987: : 380iter [00:42, 10.31iter/s]
Best score: 0.3987: : 381iter [00:42, 10.31iter/s]
Best score: 0.3987: : 382iter [00:42, 10.65iter/s]
Best score: 0.3987: : 382iter [00:42, 10.65iter/s]
Best score: 0.3987: : 383iter [00:42, 10.65iter/s]
Best score: 0.3987: : 384iter [00:42, 10.98iter/s]
Best score: 0.3987: : 384iter [00:42, 10.98iter/s]
Best score: 0.3987: : 385iter [00:43, 10.98iter/s]
Best score: 0.3987: : 386iter [00:43, 11.15iter/s]
Best score: 0.3987: : 386iter [00:43, 11.15iter/s]
Best score: 0.3987: : 387iter [00:43, 11.15iter/s]
Best score: 0.3987: : 388iter [00:43, 11.33iter/s]
Best score: 0.3987: : 388iter [00:43, 11.33iter/s]
Best score: 0.3182: : 389iter [00:43, 11.33iter/s]
Best score: 0.3182: : 390iter [00:43, 10.96iter/s]
Best score: 0.3182: : 390iter [00:43, 10.96iter/s]
Best score: 0.3182: : 391iter [00:43, 10.96iter/s]
Best score: 0.3182: : 392iter [00:43, 10.89iter/s]
Best score: 0.3182: : 392iter [00:43, 10.89iter/s]
Best score: 0.3182: : 393iter [00:43, 10.89iter/s]
Best score: 0.3182: : 394iter [00:43, 10.67iter/s]
Best score: 0.3182: : 394iter [00:43, 10.67iter/s]
Best score: 0.3182: : 395iter [00:43, 10.67iter/s]
Best score: 0.3182: : 396iter [00:43, 10.93iter/s]
Best score: 0.3182: : 396iter [00:44, 10.93iter/s]
Best score: 0.3182: : 397iter [00:44, 10.93iter/s]
Best score: 0.3182: : 398iter [00:44, 11.17iter/s]
Best score: 0.3182: : 398iter [00:44, 11.17iter/s]
Best score: 0.3182: : 399iter [00:44, 11.17iter/s]
Best score: 0.3182: : 400iter [00:44, 11.15iter/s]
[ITER 400] Best: 0.3182
[PARAMS] Current best parameters:
  fx: 525.7139
  fy: 525.2500
  px: 1000.5212
  py: 744.6611
  k1: 0.00555773
  k2: -0.01528567
  k3: 0.01744844
  k4: -0.00588349
  p1: 0.02030202
  p2: 0.01441352
  p3: -0.01610773
  p4: -0.00700449
  s1: 0.0044
  s2: 0.0064
  s3: 0.0029
  s4: 0.0044
  tilt_x: -0.0213
  tilt_y: 0.0100
  scale: 3.0086
  rotation: -0.4742

Best score: 0.3182: : 400iter [00:44, 11.15iter/s]
Best score: 0.3182: : 401iter [00:44, 11.15iter/s]
Best score: 0.3182: : 402iter [00:44,  7.41iter/s]
Best score: 0.3182: : 402iter [00:44,  7.41iter/s]
Best score: 0.3182: : 403iter [00:45,  7.41iter/s]
Best score: 0.3182: : 404iter [00:45,  8.10iter/s]
Best score: 0.3182: : 404iter [00:45,  8.10iter/s]
Best score: 0.3182: : 405iter [00:45,  8.10iter/s]
Best score: 0.3182: : 406iter [00:45,  8.91iter/s]
Best score: 0.3182: : 406iter [00:45,  8.91iter/s]
Best score: 0.3182: : 407iter [00:45,  8.91iter/s]
Best score: 0.3182: : 408iter [00:45,  9.64iter/s]
Best score: 0.3182: : 408iter [00:45,  9.64iter/s]
Best score: 0.3152: : 409iter [00:45,  9.64iter/s]
Best score: 0.3152: : 410iter [00:45, 10.08iter/s]
Best score: 0.3152: : 410iter [00:45, 10.08iter/s]
Best score: 0.3152: : 411iter [00:45, 10.08iter/s]
Best score: 0.3152: : 412iter [00:45, 10.53iter/s]
Best score: 0.3152: : 412iter [00:45, 10.53iter/s]
Best score: 0.3152: : 413iter [00:45, 10.53iter/s]
Best score: 0.3152: : 414iter [00:45, 10.92iter/s]
Best score: 0.3152: : 414iter [00:45, 10.92iter/s]
Best score: 0.3152: : 415iter [00:46, 10.92iter/s]
Best score: 0.3152: : 416iter [00:46, 11.19iter/s]
Best score: 0.3152: : 416iter [00:46, 11.19iter/s]
Best score: 0.3152: : 417iter [00:46, 11.19iter/s]
Best score: 0.3152: : 418iter [00:46, 11.34iter/s]
Best score: 0.3152: : 418iter [00:46, 11.34iter/s]
Best score: 0.3070: : 419iter [00:46, 11.34iter/s]
Best score: 0.3070: : 420iter [00:46, 11.25iter/s]
Best score: 0.3070: : 420iter [00:46, 11.25iter/s]
Best score: 0.3070: : 421iter [00:46, 11.25iter/s]
Best score: 0.3070: : 422iter [00:46, 11.41iter/s]
Best score: 0.3070: : 422iter [00:46, 11.41iter/s]
Best score: 0.3070: : 423iter [00:46, 11.41iter/s]
Best score: 0.3070: : 424iter [00:46, 11.51iter/s]
Best score: 0.3070: : 424iter [00:46, 11.51iter/s]
Best score: 0.3070: : 425iter [00:46, 11.51iter/s]
Best score: 0.3070: : 426iter [00:46, 11.61iter/s]
Best score: 0.3070: : 426iter [00:46, 11.61iter/s]
Best score: 0.3070: : 427iter [00:47, 11.61iter/s]
Best score: 0.3070: : 428iter [00:47, 11.71iter/s]
Best score: 0.3070: : 428iter [00:47, 11.71iter/s]
Best score: 0.2950: : 429iter [00:47, 11.71iter/s]
Best score: 0.2950: : 430iter [00:47, 11.46iter/s]
Best score: 0.2950: : 430iter [00:47, 11.46iter/s]
Best score: 0.2950: : 431iter [00:47, 11.46iter/s]
Best score: 0.2950: : 432iter [00:47, 11.53iter/s]
Best score: 0.2950: : 432iter [00:47, 11.53iter/s]
Best score: 0.2950: : 433iter [00:47, 11.53iter/s]
Best score: 0.2950: : 434iter [00:47, 11.67iter/s]
Best score: 0.2950: : 434iter [00:47, 11.67iter/s]
Best score: 0.2950: : 435iter [00:47, 11.67iter/s]
Best score: 0.2950: : 436iter [00:47, 11.72iter/s]
Best score: 0.2950: : 436iter [00:47, 11.72iter/s]
Best score: 0.2950: : 437iter [00:47, 11.72iter/s]
Best score: 0.2950: : 438iter [00:47, 11.78iter/s]
Best score: 0.2950: : 438iter [00:47, 11.78iter/s]
Best score: 0.2680: : 439iter [00:48, 11.78iter/s]
Best score: 0.2680: : 440iter [00:48, 11.64iter/s]
Best score: 0.2680: : 440iter [00:48, 11.64iter/s]
Best score: 0.2680: : 441iter [00:48, 11.64iter/s]
Best score: 0.2680: : 442iter [00:48, 10.39iter/s]
Best score: 0.2680: : 442iter [00:48, 10.39iter/s]
Best score: 0.2680: : 443iter [00:48, 10.39iter/s]
Best score: 0.2680: : 444iter [00:48,  9.01iter/s]
Best score: 0.2680: : 444iter [00:48,  9.01iter/s]
Best score: 0.2680: : 445iter [00:48,  8.80iter/s]
Best score: 0.2680: : 445iter [00:48,  8.80iter/s]
Best score: 0.2680: : 446iter [00:48,  8.43iter/s]
Best score: 0.2680: : 446iter [00:49,  8.43iter/s]
Best score: 0.2680: : 447iter [00:49,  8.15iter/s]
Best score: 0.2680: : 447iter [00:49,  8.15iter/s]
Best score: 0.2680: : 448iter [00:49,  7.66iter/s]
Best score: 0.2680: : 448iter [00:49,  7.66iter/s]
Best score: 0.2680: : 449iter [00:49,  7.53iter/s]
[ITER 450] Best: 0.2611
[PARAMS] Current best parameters:
  fx: 522.5799
  fy: 522.5872
  px: 1002.2824
  py: 745.1449
  k1: 0.01882275
  k2: -0.01902652
  k3: 0.01154313
  k4: -0.00313082
  p1: 0.01721881
  p2: 0.01574565
  p3: -0.01481431
  p4: -0.00736639
  s1: 0.0041
  s2: 0.0053
  s3: 0.0067
  s4: 0.0039
  tilt_x: -0.0149
  tilt_y: 0.0033
  scale: 2.9922
  rotation: -0.4508

Best score: 0.2611: : 449iter [00:49,  7.53iter/s]
Best score: 0.2611: : 450iter [00:49,  7.27iter/s]
Best score: 0.2611: : 450iter [00:50,  7.27iter/s]
Best score: 0.2611: : 451iter [00:50,  3.75iter/s]
Best score: 0.2611: : 451iter [00:50,  3.75iter/s]
Best score: 0.2611: : 452iter [00:50,  4.27iter/s]
Best score: 0.2611: : 452iter [00:50,  4.27iter/s]
Best score: 0.2611: : 453iter [00:50,  4.77iter/s]
Best score: 0.2611: : 453iter [00:50,  4.77iter/s]
Best score: 0.2611: : 454iter [00:50,  5.31iter/s]
Best score: 0.2611: : 454iter [00:50,  5.31iter/s]
Best score: 0.2611: : 455iter [00:50,  5.69iter/s]
Best score: 0.2611: : 455iter [00:50,  5.69iter/s]
Best score: 0.2611: : 456iter [00:50,  5.89iter/s]
Best score: 0.2611: : 456iter [00:50,  5.89iter/s]
Best score: 0.2611: : 457iter [00:50,  6.11iter/s]
Best score: 0.2611: : 457iter [00:51,  6.11iter/s]
Best score: 0.2611: : 458iter [00:51,  6.30iter/s]
Best score: 0.2611: : 458iter [00:51,  6.30iter/s]
Best score: 0.2611: : 459iter [00:51,  6.37iter/s]
Best score: 0.2611: : 459iter [00:51,  6.37iter/s]
Best score: 0.2611: : 460iter [00:51,  6.38iter/s]
Best score: 0.2611: : 460iter [00:51,  6.38iter/s]
Best score: 0.2611: : 461iter [00:51,  6.44iter/s]
Best score: 0.2611: : 461iter [00:51,  6.44iter/s]
Best score: 0.2611: : 462iter [00:51,  6.57iter/s]
Best score: 0.2611: : 462iter [00:51,  6.57iter/s]
Best score: 0.2611: : 463iter [00:51,  6.50iter/s]
Best score: 0.2611: : 463iter [00:52,  6.50iter/s]
Best score: 0.2611: : 464iter [00:52,  6.59iter/s]
Best score: 0.2611: : 464iter [00:52,  6.59iter/s]
Best score: 0.2611: : 465iter [00:52,  6.75iter/s]
Best score: 0.2611: : 465iter [00:52,  6.75iter/s]
Best score: 0.2611: : 466iter [00:52,  6.78iter/s]
Best score: 0.2611: : 466iter [00:52,  6.78iter/s]
Best score: 0.2611: : 467iter [00:52,  6.76iter/s]
Best score: 0.2611: : 467iter [00:52,  6.76iter/s]
Best score: 0.2611: : 468iter [00:52,  6.65iter/s]
Best score: 0.2611: : 468iter [00:52,  6.65iter/s]
Best score: 0.2611: : 469iter [00:52,  6.71iter/s]
Best score: 0.2486: : 469iter [00:52,  6.71iter/s]
Best score: 0.2486: : 470iter [00:52,  6.54iter/s]
Best score: 0.2486: : 470iter [00:53,  6.54iter/s]
Best score: 0.2486: : 471iter [00:53,  6.76iter/s]
Best score: 0.2486: : 471iter [00:53,  6.76iter/s]
Best score: 0.2486: : 472iter [00:53,  6.82iter/s]
Best score: 0.2486: : 472iter [00:53,  6.82iter/s]
Best score: 0.2486: : 473iter [00:53,  6.89iter/s]
Best score: 0.2486: : 473iter [00:53,  6.89iter/s]
Best score: 0.2486: : 474iter [00:53,  6.93iter/s]
Best score: 0.2486: : 474iter [00:53,  6.93iter/s]
Best score: 0.2486: : 475iter [00:53,  7.09iter/s]
Best score: 0.2486: : 475iter [00:53,  7.09iter/s]
Best score: 0.2486: : 476iter [00:53,  7.19iter/s]
Best score: 0.2486: : 476iter [00:53,  7.19iter/s]
Best score: 0.2486: : 477iter [00:53,  7.25iter/s]
Best score: 0.2486: : 477iter [00:54,  7.25iter/s]
Best score: 0.2486: : 478iter [00:54,  7.24iter/s]
Best score: 0.2486: : 478iter [00:54,  7.24iter/s]
Best score: 0.2486: : 479iter [00:54,  7.19iter/s]
Best score: 0.2417: : 479iter [00:54,  7.19iter/s]
Best score: 0.2417: : 480iter [00:54,  6.94iter/s]
Best score: 0.2417: : 480iter [00:54,  6.94iter/s]
Best score: 0.2417: : 481iter [00:54,  7.02iter/s]
Best score: 0.2417: : 481iter [00:54,  7.02iter/s]
Best score: 0.2417: : 482iter [00:54,  7.12iter/s]
Best score: 0.2417: : 482iter [00:54,  7.12iter/s]
Best score: 0.2417: : 483iter [00:54,  7.24iter/s]
Best score: 0.2417: : 483iter [00:54,  7.24iter/s]
Best score: 0.2417: : 484iter [00:54,  7.32iter/s]
Best score: 0.2417: : 484iter [00:54,  7.32iter/s]
Best score: 0.2417: : 485iter [00:54,  7.46iter/s]
Best score: 0.2417: : 485iter [00:55,  7.46iter/s]
Best score: 0.2417: : 486iter [00:55,  7.55iter/s]
Best score: 0.2417: : 486iter [00:55,  7.55iter/s]
Best score: 0.2417: : 487iter [00:55,  7.53iter/s]
Best score: 0.2417: : 487iter [00:55,  7.53iter/s]
Best score: 0.2417: : 488iter [00:55,  7.67iter/s]
Best score: 0.2417: : 488iter [00:55,  7.67iter/s]
Best score: 0.2417: : 489iter [00:55,  7.66iter/s]
Best score: 0.2417: : 489iter [00:55,  7.66iter/s]
Best score: 0.2417: : 490iter [00:55,  7.33iter/s]
Best score: 0.2417: : 490iter [00:55,  7.33iter/s]
Best score: 0.2417: : 491iter [00:55,  7.46iter/s]
Best score: 0.2417: : 491iter [00:55,  7.46iter/s]
Best score: 0.2417: : 492iter [00:55,  7.34iter/s]
Best score: 0.2417: : 492iter [00:56,  7.34iter/s]
Best score: 0.2417: : 493iter [00:56,  7.26iter/s]
Best score: 0.2417: : 493iter [00:56,  7.26iter/s]
Best score: 0.2417: : 494iter [00:56,  7.17iter/s]
Best score: 0.2417: : 494iter [00:56,  7.17iter/s]
Best score: 0.2417: : 495iter [00:56,  7.21iter/s]
Best score: 0.2417: : 495iter [00:56,  7.21iter/s]
Best score: 0.2417: : 496iter [00:56,  7.34iter/s]
Best score: 0.2417: : 496iter [00:56,  7.34iter/s]
Best score: 0.2417: : 497iter [00:56,  7.37iter/s]
Best score: 0.2417: : 497iter [00:56,  7.37iter/s]
Best score: 0.2417: : 498iter [00:56,  7.31iter/s]
Best score: 0.2417: : 498iter [00:56,  7.31iter/s]
Best score: 0.2417: : 499iter [00:56,  7.42iter/s]
Best score: 0.2391: : 499iter [00:57,  7.42iter/s]
Best score: 0.2391: : 500iter [00:57,  7.02iter/s]
[ITER 500] Best: 0.2391
[PARAMS] Current best parameters:
  fx: 527.0184
  fy: 526.8241
  px: 1001.5669
  py: 743.7729
  k1: 0.02582035
  k2: -0.03940971
  k3: 0.02528467
  k4: -0.00630126
  p1: 0.01771855
  p2: 0.01382769
  p3: -0.01289630
  p4: -0.00281380
  s1: 0.0032
  s2: 0.0020
  s3: -0.0000
  s4: 0.0023
  tilt_x: -0.0219
  tilt_y: 0.0028
  scale: 2.9801
  rotation: -0.5247

Best score: 0.2391: : 500iter [00:57,  7.02iter/s]
Best score: 0.2391: : 501iter [00:57,  3.55iter/s]
Best score: 0.2391: : 501iter [00:57,  3.55iter/s]
Best score: 0.2391: : 502iter [00:57,  4.16iter/s]
Best score: 0.2391: : 502iter [00:57,  4.16iter/s]
Best score: 0.2391: : 503iter [00:57,  4.76iter/s]
Best score: 0.2391: : 503iter [00:58,  4.76iter/s]
Best score: 0.2391: : 504iter [00:58,  5.24iter/s]
Best score: 0.2391: : 504iter [00:58,  5.24iter/s]
Best score: 0.2391: : 505iter [00:58,  5.65iter/s]
Best score: 0.2391: : 505iter [00:58,  5.65iter/s]
Best score: 0.2391: : 506iter [00:58,  6.06iter/s]
Best score: 0.2391: : 506iter [00:58,  6.06iter/s]
Best score: 0.2391: : 507iter [00:58,  6.38iter/s]
Best score: 0.2391: : 507iter [00:58,  6.38iter/s]
Best score: 0.2391: : 508iter [00:58,  6.52iter/s]
Best score: 0.2391: : 508iter [00:58,  6.52iter/s]
Best score: 0.2391: : 509iter [00:58,  6.52iter/s]
Best score: 0.2341: : 509iter [00:58,  6.52iter/s]
Best score: 0.2341: : 510iter [00:58,  6.44iter/s]
Best score: 0.2341: : 510iter [00:59,  6.44iter/s]
Best score: 0.2341: : 511iter [00:59,  6.61iter/s]
Best score: 0.2341: : 511iter [00:59,  6.61iter/s]
Best score: 0.2341: : 512iter [00:59,  6.69iter/s]
Best score: 0.2341: : 512iter [00:59,  6.69iter/s]
Best score: 0.2341: : 513iter [00:59,  6.82iter/s]
Best score: 0.2341: : 513iter [00:59,  6.82iter/s]
Best score: 0.2341: : 514iter [00:59,  7.06iter/s]
Best score: 0.2341: : 514iter [00:59,  7.06iter/s]
Best score: 0.2341: : 515iter [00:59,  7.19iter/s]
Best score: 0.2341: : 515iter [00:59,  7.19iter/s]
Best score: 0.2341: : 516iter [00:59,  7.43iter/s]
Best score: 0.2341: : 516iter [00:59,  7.43iter/s]
Best score: 0.2341: : 517iter [00:59,  7.50iter/s]
Best score: 0.2341: : 517iter [01:00,  7.50iter/s]
Best score: 0.2341: : 518iter [01:00,  7.45iter/s]
Best score: 0.2341: : 518iter [01:00,  7.45iter/s]
Best score: 0.2341: : 519iter [01:00,  7.55iter/s]
Best score: 0.2341: : 519iter [01:00,  7.55iter/s]
Best score: 0.2341: : 520iter [01:00,  7.32iter/s]
Best score: 0.2341: : 520iter [01:00,  7.32iter/s]
Best score: 0.2341: : 521iter [01:00,  7.38iter/s]
Best score: 0.2341: : 521iter [01:00,  7.38iter/s]
Best score: 0.2341: : 522iter [01:00,  7.36iter/s]
Best score: 0.2341: : 522iter [01:00,  7.36iter/s]
Best score: 0.2341: : 523iter [01:00,  7.36iter/s]
Best score: 0.2341: : 523iter [01:00,  7.36iter/s]
Best score: 0.2341: : 524iter [01:00,  7.20iter/s]
Best score: 0.2341: : 524iter [01:00,  7.20iter/s]
Best score: 0.2341: : 525iter [01:00,  7.32iter/s]
Best score: 0.2341: : 525iter [01:01,  7.32iter/s]
Best score: 0.2341: : 526iter [01:01,  7.41iter/s]
Best score: 0.2341: : 526iter [01:01,  7.41iter/s]
Best score: 0.2341: : 527iter [01:01,  7.40iter/s]
Best score: 0.2341: : 527iter [01:01,  7.40iter/s]
Best score: 0.2341: : 528iter [01:01,  7.48iter/s]
Best score: 0.2341: : 528iter [01:01,  7.48iter/s]
Best score: 0.2341: : 529iter [01:01,  7.43iter/s]
Best score: 0.2320: : 529iter [01:01,  7.43iter/s]
Best score: 0.2320: : 530iter [01:01,  7.08iter/s]
Best score: 0.2320: : 530iter [01:01,  7.08iter/s]
Best score: 0.2320: : 531iter [01:01,  7.11iter/s]
Best score: 0.2320: : 531iter [01:01,  7.11iter/s]
Best score: 0.2320: : 532iter [01:01,  7.14iter/s]
Best score: 0.2320: : 532iter [01:02,  7.14iter/s]
Best score: 0.2320: : 533iter [01:02,  7.18iter/s]
Best score: 0.2320: : 533iter [01:02,  7.18iter/s]
Best score: 0.2320: : 534iter [01:02,  7.21iter/s]
Best score: 0.2320: : 534iter [01:02,  7.21iter/s]
Best score: 0.2320: : 535iter [01:02,  7.31iter/s]
Best score: 0.2320: : 535iter [01:02,  7.31iter/s]
Best score: 0.2320: : 536iter [01:02,  7.32iter/s]
Best score: 0.2320: : 536iter [01:02,  7.32iter/s]
Best score: 0.2320: : 537iter [01:02,  7.26iter/s]
Best score: 0.2320: : 537iter [01:02,  7.26iter/s]
Best score: 0.2320: : 538iter [01:02,  7.46iter/s]
Best score: 0.2320: : 538iter [01:02,  7.46iter/s]
Best score: 0.2320: : 539iter [01:02,  7.51iter/s]
Best score: 0.2244: : 539iter [01:03,  7.51iter/s]
Best score: 0.2244: : 540iter [01:03,  7.19iter/s]
Best score: 0.2244: : 540iter [01:03,  7.19iter/s]
Best score: 0.2244: : 541iter [01:03,  7.30iter/s]
Best score: 0.2244: : 541iter [01:03,  7.30iter/s]
Best score: 0.2244: : 542iter [01:03,  7.34iter/s]
Best score: 0.2244: : 542iter [01:03,  7.34iter/s]
Best score: 0.2244: : 543iter [01:03,  7.50iter/s]
Best score: 0.2244: : 543iter [01:03,  7.50iter/s]
Best score: 0.2244: : 544iter [01:03,  7.44iter/s]
Best score: 0.2244: : 544iter [01:03,  7.44iter/s]
Best score: 0.2244: : 545iter [01:03,  7.40iter/s]
Best score: 0.2244: : 545iter [01:03,  7.40iter/s]
Best score: 0.2244: : 546iter [01:03,  7.20iter/s]
Best score: 0.2244: : 546iter [01:04,  7.20iter/s]
Best score: 0.2244: : 547iter [01:04,  7.13iter/s]
Best score: 0.2244: : 547iter [01:04,  7.13iter/s]
Best score: 0.2244: : 548iter [01:04,  7.32iter/s]
Best score: 0.2244: : 548iter [01:04,  7.32iter/s]
Best score: 0.2244: : 549iter [01:04,  7.31iter/s]
[ITER 550] Best: 0.2208
[PARAMS] Current best parameters:
  fx: 528.8106
  fy: 528.8420
  px: 999.2794
  py: 742.8245
  k1: 0.01273566
  k2: -0.01795056
  k3: 0.01030519
  k4: -0.00265331
  p1: 0.01389011
  p2: 0.00724377
  p3: -0.01222190
  p4: -0.00278051
  s1: 0.0073
  s2: 0.0018
  s3: 0.0026
  s4: 0.0020
  tilt_x: -0.0192
  tilt_y: 0.0015
  scale: 2.9886
  rotation: -0.4899

Best score: 0.2208: : 549iter [01:04,  7.31iter/s]
Best score: 0.2208: : 550iter [01:04,  7.29iter/s]
Best score: 0.2208: : 550iter [01:04,  7.29iter/s]
Best score: 0.2208: : 551iter [01:04,  4.40iter/s]
Best score: 0.2208: : 551iter [01:04,  4.40iter/s]
Best score: 0.2208: : 552iter [01:05,  4.40iter/s]
Best score: 0.2208: : 553iter [01:05,  6.20iter/s]
Best score: 0.2208: : 553iter [01:05,  6.20iter/s]
Best score: 0.2208: : 554iter [01:05,  6.20iter/s]
Best score: 0.2208: : 555iter [01:05,  7.64iter/s]
Best score: 0.2208: : 555iter [01:05,  7.64iter/s]
Best score: 0.2208: : 556iter [01:05,  7.64iter/s]
Best score: 0.2208: : 557iter [01:05,  8.77iter/s]
Best score: 0.2208: : 557iter [01:05,  8.77iter/s]
Best score: 0.2208: : 558iter [01:05,  8.77iter/s]
Best score: 0.2208: : 559iter [01:05,  9.63iter/s]
Best score: 0.2208: : 559iter [01:05,  9.63iter/s]
Best score: 0.2208: : 560iter [01:05,  9.63iter/s]
Best score: 0.2208: : 561iter [01:05, 10.11iter/s]
Best score: 0.2208: : 561iter [01:05, 10.11iter/s]
Best score: 0.2208: : 562iter [01:05, 10.11iter/s]
Best score: 0.2208: : 563iter [01:05, 10.60iter/s]
Best score: 0.2208: : 563iter [01:05, 10.60iter/s]
Best score: 0.2208: : 564iter [01:06, 10.60iter/s]
Best score: 0.2208: : 565iter [01:06, 10.94iter/s]
Best score: 0.2208: : 565iter [01:06, 10.94iter/s]
Best score: 0.2208: : 566iter [01:06, 10.94iter/s]
Best score: 0.2208: : 567iter [01:06, 11.18iter/s]
Best score: 0.2208: : 567iter [01:06, 11.18iter/s]
Best score: 0.2208: : 568iter [01:06, 11.18iter/s]
Best score: 0.2208: : 569iter [01:06, 11.35iter/s]
Best score: 0.2208: : 569iter [01:06, 11.35iter/s]
Best score: 0.2208: : 570iter [01:06, 11.35iter/s]
Best score: 0.2208: : 571iter [01:06, 11.01iter/s]
Best score: 0.2208: : 571iter [01:06, 11.01iter/s]
Best score: 0.2208: : 572iter [01:06, 11.01iter/s]
Best score: 0.2208: : 573iter [01:06, 10.19iter/s]
Best score: 0.2208: : 573iter [01:06, 10.19iter/s]
Best score: 0.2208: : 574iter [01:06, 10.19iter/s]
Best score: 0.2208: : 575iter [01:06, 10.58iter/s]
Best score: 0.2208: : 575iter [01:07, 10.58iter/s]
Best score: 0.2208: : 576iter [01:07, 10.58iter/s]
Best score: 0.2208: : 577iter [01:07, 10.89iter/s]
Best score: 0.2208: : 577iter [01:07, 10.89iter/s]
Best score: 0.2208: : 578iter [01:07, 10.89iter/s]
Best score: 0.2208: : 579iter [01:07, 11.19iter/s]
Best score: 0.2168: : 579iter [01:07, 11.19iter/s]
Best score: 0.2168: : 580iter [01:07, 11.19iter/s]
Best score: 0.2168: : 581iter [01:07, 11.20iter/s]
Best score: 0.2168: : 581iter [01:07, 11.20iter/s]
Best score: 0.2168: : 582iter [01:07, 11.20iter/s]
Best score: 0.2168: : 583iter [01:07, 11.46iter/s]
Best score: 0.2168: : 583iter [01:07, 11.46iter/s]
Best score: 0.2168: : 584iter [01:07, 11.46iter/s]
Best score: 0.2168: : 585iter [01:07, 11.64iter/s]
Best score: 0.2168: : 585iter [01:07, 11.64iter/s]
Best score: 0.2168: : 586iter [01:07, 11.64iter/s]
Best score: 0.2168: : 587iter [01:07, 11.73iter/s]
Best score: 0.2168: : 587iter [01:08, 11.73iter/s]
Best score: 0.2168: : 588iter [01:08, 11.73iter/s]
Best score: 0.2168: : 589iter [01:08,  9.15iter/s]
Best score: 0.2147: : 589iter [01:08,  9.15iter/s]
Best score: 0.2147: : 590iter [01:08,  9.15iter/s]
Best score: 0.2147: : 591iter [01:08,  9.70iter/s]
Best score: 0.2147: : 591iter [01:08,  9.70iter/s]
Best score: 0.2147: : 592iter [01:08,  9.70iter/s]
Best score: 0.2147: : 593iter [01:08, 10.25iter/s]
Best score: 0.2147: : 593iter [01:08, 10.25iter/s]
Best score: 0.2147: : 594iter [01:08, 10.25iter/s]
Best score: 0.2147: : 595iter [01:08, 10.71iter/s]
Best score: 0.2147: : 595iter [01:08, 10.71iter/s]
Best score: 0.2147: : 596iter [01:09, 10.71iter/s]
Best score: 0.2147: : 597iter [01:09, 11.07iter/s]
Best score: 0.2147: : 597iter [01:09, 11.07iter/s]
Best score: 0.2147: : 598iter [01:09, 11.07iter/s]
Best score: 0.2147: : 599iter [01:09, 11.35iter/s]
[ITER 600] Best: 0.2147
[PARAMS] Current best parameters:
  fx: 530.8200
  fy: 530.6961
  px: 998.9108
  py: 743.1093
  k1: 0.02112634
  k2: -0.03652778
  k3: 0.02249336
  k4: -0.00537093
  p1: 0.01177526
  p2: 0.00908037
  p3: -0.00946874
  p4: -0.00209775
  s1: 0.0029
  s2: 0.0007
  s3: 0.0022
  s4: 0.0014
  tilt_x: -0.0134
  tilt_y: 0.0064
  scale: 2.9787
  rotation: -0.4665

Best score: 0.2147: : 599iter [01:09, 11.35iter/s]
Best score: 0.2147: : 600iter [01:09, 11.35iter/s]
Best score: 0.2147: : 601iter [01:09,  7.44iter/s]
Best score: 0.2147: : 601iter [01:09,  7.44iter/s]
Best score: 0.2147: : 602iter [01:09,  7.44iter/s]
Best score: 0.2147: : 603iter [01:09,  8.39iter/s]
Best score: 0.2147: : 603iter [01:09,  8.39iter/s]
Best score: 0.2147: : 604iter [01:09,  8.39iter/s]
Best score: 0.2147: : 605iter [01:09,  9.23iter/s]
Best score: 0.2147: : 605iter [01:10,  9.23iter/s]
Best score: 0.2147: : 606iter [01:10,  9.23iter/s]
Best score: 0.2147: : 607iter [01:10,  9.92iter/s]
Best score: 0.2147: : 607iter [01:10,  9.92iter/s]
Best score: 0.2147: : 608iter [01:10,  9.92iter/s]
Best score: 0.2147: : 609iter [01:10, 10.48iter/s]
Best score: 0.2142: : 609iter [01:10, 10.48iter/s]
Best score: 0.2142: : 610iter [01:10, 10.48iter/s]
Best score: 0.2142: : 611iter [01:10, 10.74iter/s]
Best score: 0.2142: : 611iter [01:10, 10.74iter/s]
Best score: 0.2142: : 612iter [01:10, 10.74iter/s]
Best score: 0.2142: : 613iter [01:10, 11.11iter/s]
Best score: 0.2142: : 613iter [01:10, 11.11iter/s]
Best score: 0.2142: : 614iter [01:10, 11.11iter/s]
Best score: 0.2142: : 615iter [01:10, 11.25iter/s]
Best score: 0.2142: : 615iter [01:10, 11.25iter/s]
Best score: 0.2142: : 616iter [01:11, 11.25iter/s]
Best score: 0.2142: : 617iter [01:11, 11.45iter/s]
Best score: 0.2142: : 617iter [01:11, 11.45iter/s]
Best score: 0.2142: : 618iter [01:11, 11.45iter/s]
Best score: 0.2142: : 619iter [01:11, 11.62iter/s]
Best score: 0.2125: : 619iter [01:11, 11.62iter/s]
Best score: 0.2125: : 620iter [01:11, 11.62iter/s]
Best score: 0.2125: : 621iter [01:11, 11.55iter/s]
Best score: 0.2125: : 621iter [01:11, 11.55iter/s]
Best score: 0.2125: : 622iter [01:11, 11.55iter/s]
Best score: 0.2125: : 623iter [01:11, 11.70iter/s]
Best score: 0.2125: : 623iter [01:11, 11.70iter/s]
Best score: 0.2125: : 624iter [01:11, 11.70iter/s]
Best score: 0.2125: : 625iter [01:11, 11.81iter/s]
Best score: 0.2125: : 625iter [01:11, 11.81iter/s]
Best score: 0.2125: : 626iter [01:11, 11.81iter/s]
Best score: 0.2125: : 627iter [01:11, 11.88iter/s]
Best score: 0.2125: : 627iter [01:11, 11.88iter/s]
Best score: 0.2125: : 628iter [01:12, 11.88iter/s]
Best score: 0.2125: : 629iter [01:12, 11.91iter/s]
Best score: 0.2125: : 629iter [01:12, 11.91iter/s]
Best score: 0.2125: : 630iter [01:12, 11.91iter/s]
Best score: 0.2125: : 631iter [01:12, 11.74iter/s]
Best score: 0.2125: : 631iter [01:12, 11.74iter/s]
Best score: 0.2125: : 632iter [01:12, 11.74iter/s]
Best score: 0.2125: : 633iter [01:12, 11.83iter/s]
Best score: 0.2125: : 633iter [01:12, 11.83iter/s]
Best score: 0.2125: : 634iter [01:12, 11.83iter/s]
Best score: 0.2125: : 635iter [01:12, 11.90iter/s]
Best score: 0.2125: : 635iter [01:12, 11.90iter/s]
Best score: 0.2125: : 636iter [01:12, 11.90iter/s]
Best score: 0.2125: : 637iter [01:12, 11.97iter/s]
Best score: 0.2125: : 637iter [01:12, 11.97iter/s]
Best score: 0.2125: : 638iter [01:12, 11.97iter/s]
Best score: 0.2125: : 639iter [01:12, 12.01iter/s]
Best score: 0.2125: : 639iter [01:12, 12.01iter/s]
Best score: 0.2125: : 640iter [01:13, 12.01iter/s]
Best score: 0.2125: : 641iter [01:13, 11.82iter/s]
Best score: 0.2125: : 641iter [01:13, 11.82iter/s]
Best score: 0.2125: : 642iter [01:13, 11.82iter/s]
Best score: 0.2125: : 643iter [01:13, 11.90iter/s]
Best score: 0.2125: : 643iter [01:13, 11.90iter/s]
Best score: 0.2125: : 644iter [01:13, 11.90iter/s]
Best score: 0.2125: : 645iter [01:13, 11.95iter/s]
Best score: 0.2125: : 645iter [01:13, 11.95iter/s]
Best score: 0.2125: : 646iter [01:13, 11.95iter/s]
Best score: 0.2125: : 647iter [01:13, 11.99iter/s]
Best score: 0.2125: : 647iter [01:13, 11.99iter/s]
Best score: 0.2125: : 648iter [01:13, 11.99iter/s]
Best score: 0.2125: : 649iter [01:13, 12.00iter/s]
[ITER 650] Best: 0.2125
[PARAMS] Current best parameters:
  fx: 531.7595
  fy: 531.5677
  px: 997.6026
  py: 742.3196
  k1: 0.01894130
  k2: -0.03572701
  k3: 0.02287891
  k4: -0.00562052
  p1: 0.01057976
  p2: 0.00635579
  p3: -0.00864405
  p4: 0.00041620
  s1: 0.0029
  s2: -0.0013
  s3: 0.0015
  s4: -0.0012
  tilt_x: -0.0146
  tilt_y: 0.0074
  scale: 2.9809
  rotation: -0.4602

Best score: 0.2125: : 649iter [01:13, 12.00iter/s]
Best score: 0.2125: : 650iter [01:14, 12.00iter/s]
Best score: 0.2125: : 651iter [01:14,  7.67iter/s]
Best score: 0.2125: : 651iter [01:14,  7.67iter/s]
Best score: 0.2125: : 652iter [01:14,  7.67iter/s]
Best score: 0.2125: : 653iter [01:14,  8.61iter/s]
Best score: 0.2125: : 653iter [01:14,  8.61iter/s]
Best score: 0.2125: : 654iter [01:14,  8.61iter/s]
Best score: 0.2125: : 655iter [01:14,  9.43iter/s]
Best score: 0.2125: : 655iter [01:14,  9.43iter/s]
Best score: 0.2125: : 656iter [01:14,  9.43iter/s]
Best score: 0.2125: : 657iter [01:14, 10.07iter/s]
Best score: 0.2125: : 657iter [01:14, 10.07iter/s]
Best score: 0.2125: : 658iter [01:14, 10.07iter/s]
Best score: 0.2125: : 659iter [01:14, 10.60iter/s]
Best score: 0.2116: : 659iter [01:14, 10.60iter/s]
Best score: 0.2116: : 660iter [01:15, 10.60iter/s]
Best score: 0.2116: : 661iter [01:15, 10.83iter/s]
Best score: 0.2116: : 661iter [01:15, 10.83iter/s]
Best score: 0.2116: : 662iter [01:15, 10.83iter/s]
Best score: 0.2116: : 663iter [01:15, 11.17iter/s]
Best score: 0.2116: : 663iter [01:15, 11.17iter/s]
Best score: 0.2116: : 664iter [01:15, 11.17iter/s]
Best score: 0.2116: : 665iter [01:15, 11.42iter/s]
Best score: 0.2116: : 665iter [01:15, 11.42iter/s]
Best score: 0.2116: : 666iter [01:15, 11.42iter/s]
Best score: 0.2116: : 667iter [01:15, 11.60iter/s]
Best score: 0.2116: : 667iter [01:15, 11.60iter/s]
Best score: 0.2116: : 668iter [01:15, 11.60iter/s]
Best score: 0.2116: : 669iter [01:15, 11.71iter/s]
Best score: 0.2116: : 669iter [01:15, 11.71iter/s]
Best score: 0.2116: : 670iter [01:15, 11.71iter/s]
Best score: 0.2116: : 671iter [01:15, 11.62iter/s]
Best score: 0.2116: : 671iter [01:15, 11.62iter/s]
Best score: 0.2116: : 672iter [01:16, 11.62iter/s]
Best score: 0.2116: : 673iter [01:16, 11.74iter/s]
Best score: 0.2116: : 673iter [01:16, 11.74iter/s]
Best score: 0.2116: : 674iter [01:16, 11.74iter/s]
Best score: 0.2116: : 675iter [01:16, 11.84iter/s]
Best score: 0.2116: : 675iter [01:16, 11.84iter/s]
Best score: 0.2116: : 676iter [01:16, 11.84iter/s]
Best score: 0.2116: : 677iter [01:16, 11.91iter/s]
Best score: 0.2116: : 677iter [01:16, 11.91iter/s]
Best score: 0.2116: : 678iter [01:16, 11.91iter/s]
Best score: 0.2116: : 679iter [01:16, 11.96iter/s]
Best score: 0.2110: : 679iter [01:16, 11.96iter/s]
Best score: 0.2110: : 680iter [01:16, 11.96iter/s]
Best score: 0.2110: : 681iter [01:16, 11.79iter/s]
Best score: 0.2110: : 681iter [01:16, 11.79iter/s]
Best score: 0.2110: : 682iter [01:16, 11.79iter/s]
Best score: 0.2110: : 683iter [01:16, 11.82iter/s]
Best score: 0.2110: : 683iter [01:16, 11.82iter/s]
Best score: 0.2110: : 684iter [01:17, 11.82iter/s]
Best score: 0.2110: : 685iter [01:17, 11.91iter/s]
Best score: 0.2110: : 685iter [01:17, 11.91iter/s]
Best score: 0.2110: : 686iter [01:17, 11.91iter/s]
Best score: 0.2110: : 687iter [01:17, 11.88iter/s]
Best score: 0.2110: : 687iter [01:17, 11.88iter/s]
Best score: 0.2110: : 688iter [01:17, 11.88iter/s]
Best score: 0.2110: : 689iter [01:17, 11.91iter/s]
Best score: 0.2099: : 689iter [01:17, 11.91iter/s]
Best score: 0.2099: : 690iter [01:17, 11.91iter/s]
Best score: 0.2099: : 691iter [01:17, 11.76iter/s]
Best score: 0.2099: : 691iter [01:17, 11.76iter/s]
Best score: 0.2099: : 692iter [01:17, 11.76iter/s]
Best score: 0.2099: : 693iter [01:17, 11.86iter/s]
Best score: 0.2099: : 693iter [01:17, 11.86iter/s]
Best score: 0.2099: : 694iter [01:17, 11.86iter/s]
Best score: 0.2099: : 695iter [01:17,  9.60iter/s]
Best score: 0.2099: : 695iter [01:18,  9.60iter/s]
Best score: 0.2099: : 696iter [01:18,  9.60iter/s]
Best score: 0.2099: : 697iter [01:18, 10.20iter/s]
Best score: 0.2099: : 697iter [01:18, 10.20iter/s]
Best score: 0.2099: : 698iter [01:18, 10.20iter/s]
Best score: 0.2099: : 699iter [01:18, 10.68iter/s]
[ITER 700] Best: 0.2090
[PARAMS] Current best parameters:
  fx: 536.3241
  fy: 536.2515
  px: 996.9487
  py: 741.4591
  k1: 0.01007625
  k2: -0.02863381
  k3: 0.01881110
  k4: -0.00470589
  p1: 0.01161049
  p2: 0.00514280
  p3: -0.00924061
  p4: -0.00613067
  s1: 0.0039
  s2: 0.0054
  s3: 0.0005
  s4: 0.0049
  tilt_x: -0.0205
  tilt_y: 0.0076
  scale: 2.9823
  rotation: -0.4869

Best score: 0.2090: : 699iter [01:18, 10.68iter/s]
Best score: 0.2090: : 700iter [01:18, 10.68iter/s]
Best score: 0.2090: : 701iter [01:18,  7.22iter/s]
Best score: 0.2090: : 701iter [01:18,  7.22iter/s]
Best score: 0.2090: : 702iter [01:18,  7.22iter/s]
Best score: 0.2090: : 703iter [01:18,  8.22iter/s]
Best score: 0.2090: : 703iter [01:19,  8.22iter/s]
Best score: 0.2090: : 704iter [01:19,  8.22iter/s]
Best score: 0.2090: : 705iter [01:19,  9.09iter/s]
Best score: 0.2090: : 705iter [01:19,  9.09iter/s]
Best score: 0.2090: : 706iter [01:19,  9.09iter/s]
Best score: 0.2090: : 707iter [01:19,  9.82iter/s]
Best score: 0.2090: : 707iter [01:19,  9.82iter/s]
Best score: 0.2090: : 708iter [01:19,  9.82iter/s]
Best score: 0.2090: : 709iter [01:19, 10.41iter/s]
Best score: 0.2087: : 709iter [01:19, 10.41iter/s]
Best score: 0.2087: : 710iter [01:19, 10.41iter/s]
Best score: 0.2087: : 711iter [01:19, 10.70iter/s]
Best score: 0.2087: : 711iter [01:19, 10.70iter/s]
Best score: 0.2087: : 712iter [01:19, 10.70iter/s]
Best score: 0.2087: : 713iter [01:19, 11.07iter/s]
Best score: 0.2087: : 713iter [01:19, 11.07iter/s]
Best score: 0.2087: : 714iter [01:19, 11.07iter/s]
Best score: 0.2087: : 715iter [01:19, 11.36iter/s]
Best score: 0.2087: : 715iter [01:20, 11.36iter/s]
Best score: 0.2087: : 716iter [01:20, 11.36iter/s]
Best score: 0.2087: : 717iter [01:20, 11.57iter/s]
Best score: 0.2087: : 717iter [01:20, 11.57iter/s]
Best score: 0.2087: : 718iter [01:20, 11.57iter/s]
Best score: 0.2087: : 719iter [01:20, 11.71iter/s]
Best score: 0.2068: : 719iter [01:20, 11.71iter/s]
Best score: 0.2068: : 720iter [01:20, 11.71iter/s]
Best score: 0.2068: : 721iter [01:20, 11.56iter/s]
Best score: 0.2068: : 721iter [01:20, 11.56iter/s]
Best score: 0.2068: : 722iter [01:20, 11.56iter/s]
Best score: 0.2068: : 723iter [01:20, 11.70iter/s]
Best score: 0.2068: : 723iter [01:20, 11.70iter/s]
Best score: 0.2068: : 724iter [01:20, 11.70iter/s]
Best score: 0.2068: : 725iter [01:20, 11.82iter/s]
Best score: 0.2068: : 725iter [01:20, 11.82iter/s]
Best score: 0.2068: : 726iter [01:20, 11.82iter/s]
Best score: 0.2068: : 727iter [01:20, 11.90iter/s]
Best score: 0.2068: : 727iter [01:21, 11.90iter/s]
Best score: 0.2068: : 728iter [01:21, 11.90iter/s]
Best score: 0.2068: : 729iter [01:21, 11.97iter/s]
Best score: 0.2068: : 729iter [01:21, 11.97iter/s]
Best score: 0.2068: : 730iter [01:21, 11.97iter/s]
Best score: 0.2068: : 731iter [01:21, 11.79iter/s]
Best score: 0.2068: : 731iter [01:21, 11.79iter/s]
Best score: 0.2068: : 732iter [01:21, 11.79iter/s]
Best score: 0.2068: : 733iter [01:21, 11.86iter/s]
Best score: 0.2068: : 733iter [01:21, 11.86iter/s]
Best score: 0.2068: : 734iter [01:21, 11.86iter/s]
Best score: 0.2068: : 735iter [01:21, 11.87iter/s]
Best score: 0.2068: : 735iter [01:21, 11.87iter/s]
Best score: 0.2068: : 736iter [01:21, 11.87iter/s]
Best score: 0.2068: : 737iter [01:21, 11.93iter/s]
Best score: 0.2068: : 737iter [01:21, 11.93iter/s]
Best score: 0.2068: : 738iter [01:21, 11.93iter/s]
Best score: 0.2068: : 739iter [01:21, 11.93iter/s]
Best score: 0.2068: : 739iter [01:22, 11.93iter/s]
Best score: 0.2068: : 740iter [01:22, 11.93iter/s]
Best score: 0.2068: : 741iter [01:22, 11.78iter/s]
Best score: 0.2068: : 741iter [01:22, 11.78iter/s]
Best score: 0.2068: : 742iter [01:22, 11.78iter/s]
Best score: 0.2068: : 743iter [01:22, 11.86iter/s]
Best score: 0.2068: : 743iter [01:22, 11.86iter/s]
Best score: 0.2068: : 744iter [01:22, 11.86iter/s]
Best score: 0.2068: : 745iter [01:22, 11.92iter/s]
Best score: 0.2068: : 745iter [01:22, 11.92iter/s]
Best score: 0.2068: : 746iter [01:22, 11.92iter/s]
Best score: 0.2068: : 747iter [01:22, 11.97iter/s]
Best score: 0.2068: : 747iter [01:22, 11.97iter/s]
Best score: 0.2068: : 748iter [01:22, 11.97iter/s]
Best score: 0.2068: : 749iter [01:22, 12.00iter/s]
[ITER 750] Best: 0.2062
[PARAMS] Current best parameters:
  fx: 542.9059
  fy: 542.9745
  px: 995.8902
  py: 740.4358
  k1: -0.00611193
  k2: -0.01173685
  k3: 0.00815773
  k4: -0.00222232
  p1: 0.00501611
  p2: -0.00014046
  p3: -0.00853579
  p4: -0.00990866
  s1: 0.0083
  s2: 0.0084
  s3: 0.0056
  s4: 0.0087
  tilt_x: -0.0125
  tilt_y: 0.0026
  scale: 2.9869
  rotation: -0.4721

Best score: 0.2062: : 749iter [01:22, 12.00iter/s]
Best score: 0.2062: : 750iter [01:23, 12.00iter/s]
Best score: 0.2062: : 751iter [01:23,  7.67iter/s]
Best score: 0.2062: : 751iter [01:23,  7.67iter/s]
Best score: 0.2062: : 752iter [01:23,  7.67iter/s]
Best score: 0.2062: : 753iter [01:23,  8.61iter/s]
Best score: 0.2062: : 753iter [01:23,  8.61iter/s]
Best score: 0.2062: : 754iter [01:23,  8.61iter/s]
Best score: 0.2062: : 755iter [01:23,  9.43iter/s]
Best score: 0.2062: : 755iter [01:23,  9.43iter/s]
Best score: 0.2062: : 756iter [01:23,  9.43iter/s]
Best score: 0.2062: : 757iter [01:23, 10.08iter/s]
Best score: 0.2062: : 757iter [01:23, 10.08iter/s]
Best score: 0.2062: : 758iter [01:23, 10.08iter/s]
Best score: 0.2062: : 759iter [01:23, 10.60iter/s]
Best score: 0.2046: : 759iter [01:24, 10.60iter/s]
Best score: 0.2046: : 760iter [01:24, 10.60iter/s]
Best score: 0.2046: : 761iter [01:24, 10.81iter/s]
Best score: 0.2046: : 761iter [01:24, 10.81iter/s]
Best score: 0.2046: : 762iter [01:24, 10.81iter/s]
Best score: 0.2046: : 763iter [01:24, 11.15iter/s]
Best score: 0.2046: : 763iter [01:24, 11.15iter/s]
Best score: 0.2046: : 764iter [01:24, 11.15iter/s]
Best score: 0.2046: : 765iter [01:24, 11.40iter/s]
Best score: 0.2046: : 765iter [01:24, 11.40iter/s]
Best score: 0.2046: : 766iter [01:24, 11.40iter/s]
Best score: 0.2046: : 767iter [01:24, 11.59iter/s]
Best score: 0.2046: : 767iter [01:24, 11.59iter/s]
Best score: 0.2046: : 768iter [01:24, 11.59iter/s]
Best score: 0.2046: : 769iter [01:24, 11.73iter/s]
Best score: 0.2042: : 769iter [01:24, 11.73iter/s]
Best score: 0.2042: : 770iter [01:24, 11.73iter/s]
Best score: 0.2042: : 771iter [01:24, 11.61iter/s]
Best score: 0.2042: : 771iter [01:25, 11.61iter/s]
Best score: 0.2042: : 772iter [01:25, 11.61iter/s]
Best score: 0.2042: : 773iter [01:25, 11.75iter/s]
Best score: 0.2042: : 773iter [01:25, 11.75iter/s]
Best score: 0.2042: : 774iter [01:25, 11.75iter/s]
Best score: 0.2042: : 775iter [01:25, 11.85iter/s]
Best score: 0.2042: : 775iter [01:25, 11.85iter/s]
Best score: 0.2042: : 776iter [01:25, 11.85iter/s]
Best score: 0.2042: : 777iter [01:25, 11.88iter/s]
Best score: 0.2042: : 777iter [01:25, 11.88iter/s]
Best score: 0.2042: : 778iter [01:25, 11.88iter/s]
Best score: 0.2042: : 779iter [01:25, 11.93iter/s]
Best score: 0.2042: : 779iter [01:25, 11.93iter/s]
Best score: 0.2042: : 780iter [01:25, 11.93iter/s]
Best score: 0.2042: : 781iter [01:25, 11.77iter/s]
Best score: 0.2042: : 781iter [01:25, 11.77iter/s]
Best score: 0.2042: : 782iter [01:26, 11.77iter/s]
Best score: 0.2042: : 783iter [01:26, 11.86iter/s]
Best score: 0.2042: : 783iter [01:26, 11.86iter/s]
Best score: 0.2042: : 784iter [01:26, 11.86iter/s]
Best score: 0.2042: : 785iter [01:26, 11.88iter/s]
Best score: 0.2042: : 785iter [01:26, 11.88iter/s]
Best score: 0.2042: : 786iter [01:26, 11.88iter/s]
Best score: 0.2042: : 787iter [01:26, 11.94iter/s]
Best score: 0.2042: : 787iter [01:26, 11.94iter/s]
Best score: 0.2042: : 788iter [01:26, 11.94iter/s]
Best score: 0.2042: : 789iter [01:26, 11.98iter/s]
Best score: 0.2031: : 789iter [01:26, 11.98iter/s]
Best score: 0.2031: : 790iter [01:26, 11.98iter/s]
Best score: 0.2031: : 791iter [01:26, 11.81iter/s]
Best score: 0.2031: : 791iter [01:26, 11.81iter/s]
Best score: 0.2031: : 792iter [01:26, 11.81iter/s]
Best score: 0.2031: : 793iter [01:26, 11.85iter/s]
Best score: 0.2031: : 793iter [01:26, 11.85iter/s]
Best score: 0.2031: : 794iter [01:27, 11.85iter/s]
Best score: 0.2031: : 795iter [01:27, 11.93iter/s]
Best score: 0.2031: : 795iter [01:27, 11.93iter/s]
Best score: 0.2031: : 796iter [01:27, 11.93iter/s]
Best score: 0.2031: : 797iter [01:27, 11.98iter/s]
Best score: 0.2031: : 797iter [01:27, 11.98iter/s]
Best score: 0.2031: : 798iter [01:27, 11.98iter/s]
Best score: 0.2031: : 799iter [01:27, 12.02iter/s]
[ITER 800] Best: 0.2020
[PARAMS] Current best parameters:
  fx: 543.3084
  fy: 543.4071
  px: 995.1665
  py: 740.0780
  k1: -0.00948468
  k2: -0.00698126
  k3: 0.00541108
  k4: -0.00166696
  p1: 0.00313181
  p2: -0.00370595
  p3: -0.00904806
  p4: -0.00582080
  s1: 0.0115
  s2: 0.0044
  s3: 0.0065
  s4: 0.0053
  tilt_x: -0.0103
  tilt_y: -0.0010
  scale: 2.9892
  rotation: -0.4797

Best score: 0.2020: : 799iter [01:27, 12.02iter/s]
Best score: 0.2020: : 800iter [01:27, 12.02iter/s]
Best score: 0.2020: : 801iter [01:27,  7.65iter/s]
Best score: 0.2020: : 801iter [01:27,  7.65iter/s]
Best score: 0.2020: : 802iter [01:27,  7.65iter/s]
Best score: 0.2020: : 803iter [01:27,  8.59iter/s]
Best score: 0.2020: : 803iter [01:28,  8.59iter/s]
Best score: 0.2020: : 804iter [01:28,  8.59iter/s]
Best score: 0.2020: : 805iter [01:28,  9.38iter/s]
Best score: 0.2020: : 805iter [01:28,  9.38iter/s]
Best score: 0.2020: : 806iter [01:28,  9.38iter/s]
Best score: 0.2020: : 807iter [01:28, 10.05iter/s]
Best score: 0.2020: : 807iter [01:28, 10.05iter/s]
Best score: 0.2020: : 808iter [01:28, 10.05iter/s]
Best score: 0.2020: : 809iter [01:28, 10.58iter/s]
Best score: 0.2001: : 809iter [01:28, 10.58iter/s]
Best score: 0.2001: : 810iter [01:28, 10.58iter/s]
Best score: 0.2001: : 811iter [01:28, 10.81iter/s]
Best score: 0.2001: : 811iter [01:28, 10.81iter/s]
Best score: 0.2001: : 812iter [01:28, 10.81iter/s]
Best score: 0.2001: : 813iter [01:28, 11.11iter/s]
Best score: 0.2001: : 813iter [01:28, 11.11iter/s]
Best score: 0.2001: : 814iter [01:28, 11.11iter/s]
Best score: 0.2001: : 815iter [01:28, 11.36iter/s]
Best score: 0.2001: : 815iter [01:29, 11.36iter/s]
Best score: 0.2001: : 816iter [01:29, 11.36iter/s]
Best score: 0.2001: : 817iter [01:29, 11.57iter/s]
Best score: 0.2001: : 817iter [01:29, 11.57iter/s]
Best score: 0.2001: : 818iter [01:29, 11.57iter/s]
Best score: 0.2001: : 819iter [01:29, 11.71iter/s]
Best score: 0.1952: : 819iter [01:29, 11.71iter/s]
Best score: 0.1952: : 820iter [01:29, 11.71iter/s]
Best score: 0.1952: : 821iter [01:29, 11.57iter/s]
Best score: 0.1952: : 821iter [01:29, 11.57iter/s]
Best score: 0.1952: : 822iter [01:29, 11.57iter/s]
Best score: 0.1952: : 823iter [01:29, 11.68iter/s]
Best score: 0.1952: : 823iter [01:29, 11.68iter/s]
Best score: 0.1952: : 824iter [01:29, 11.68iter/s]
Best score: 0.1952: : 825iter [01:29, 11.80iter/s]
Best score: 0.1952: : 825iter [01:29, 11.80iter/s]
Best score: 0.1952: : 826iter [01:30, 11.80iter/s]
Best score: 0.1952: : 827iter [01:30, 11.90iter/s]
Best score: 0.1952: : 827iter [01:30, 11.90iter/s]
Best score: 0.1952: : 828iter [01:30, 11.90iter/s]
Best score: 0.1952: : 829iter [01:30, 11.95iter/s]
Best score: 0.1939: : 829iter [01:30, 11.95iter/s]
Best score: 0.1939: : 830iter [01:30, 11.95iter/s]
Best score: 0.1939: : 831iter [01:30, 11.78iter/s]
Best score: 0.1939: : 831iter [01:30, 11.78iter/s]
Best score: 0.1939: : 832iter [01:30, 11.78iter/s]
Best score: 0.1939: : 833iter [01:30, 11.88iter/s]
Best score: 0.1939: : 833iter [01:30, 11.88iter/s]
Best score: 0.1939: : 834iter [01:30, 11.88iter/s]
Best score: 0.1939: : 835iter [01:30, 11.93iter/s]
Best score: 0.1939: : 835iter [01:30, 11.93iter/s]
Best score: 0.1939: : 836iter [01:30, 11.93iter/s]
Best score: 0.1939: : 837iter [01:30, 11.98iter/s]
Best score: 0.1939: : 837iter [01:30, 11.98iter/s]
Best score: 0.1939: : 838iter [01:31, 11.98iter/s]
Best score: 0.1939: : 839iter [01:31, 12.00iter/s]
Best score: 0.1939: : 839iter [01:31, 12.00iter/s]
Best score: 0.1939: : 840iter [01:31, 12.00iter/s]
Best score: 0.1939: : 841iter [01:31, 11.82iter/s]
Best score: 0.1939: : 841iter [01:31, 11.82iter/s]
Best score: 0.1939: : 842iter [01:31, 11.82iter/s]
Best score: 0.1939: : 843iter [01:31, 11.89iter/s]
Best score: 0.1939: : 843iter [01:31, 11.89iter/s]
Best score: 0.1939: : 844iter [01:31, 11.89iter/s]
Best score: 0.1939: : 845iter [01:31, 11.95iter/s]
Best score: 0.1939: : 845iter [01:31, 11.95iter/s]
Best score: 0.1939: : 846iter [01:31, 11.95iter/s]
Best score: 0.1939: : 847iter [01:31, 11.98iter/s]
Best score: 0.1939: : 847iter [01:31, 11.98iter/s]
Best score: 0.1939: : 848iter [01:31, 11.98iter/s]
Best score: 0.1939: : 849iter [01:31, 11.95iter/s]
[ITER 850] Best: 0.1934
[PARAMS] Current best parameters:
  fx: 543.5670
  fy: 543.8463
  px: 994.1442
  py: 738.6038
  k1: -0.01427822
  k2: -0.00162393
  k3: 0.00293437
  k4: -0.00118526
  p1: -0.00278648
  p2: -0.01216111
  p3: -0.02030033
  p4: 0.00701548
  s1: 0.0291
  s2: -0.0076
  s3: 0.0227
  s4: -0.0077
  tilt_x: -0.0059
  tilt_y: -0.0133
  scale: 2.9945
  rotation: -0.4601

Best score: 0.1934: : 849iter [01:31, 11.95iter/s]
Best score: 0.1934: : 850iter [01:32, 11.95iter/s]
Best score: 0.1934: : 851iter [01:32,  7.65iter/s]
Best score: 0.1934: : 851iter [01:32,  7.65iter/s]
Best score: 0.1934: : 852iter [01:32,  7.65iter/s]
Best score: 0.1934: : 853iter [01:32,  8.60iter/s]
Best score: 0.1934: : 853iter [01:32,  8.60iter/s]
Best score: 0.1934: : 854iter [01:32,  8.60iter/s]
Best score: 0.1934: : 855iter [01:32,  9.42iter/s]
Best score: 0.1934: : 855iter [01:32,  9.42iter/s]
Best score: 0.1934: : 856iter [01:32,  9.42iter/s]
Best score: 0.1934: : 857iter [01:32, 10.09iter/s]
Best score: 0.1934: : 857iter [01:32, 10.09iter/s]
Best score: 0.1934: : 858iter [01:32, 10.09iter/s]
Best score: 0.1934: : 859iter [01:32, 10.62iter/s]
Best score: 0.1934: : 859iter [01:33, 10.62iter/s]
Best score: 0.1934: : 860iter [01:33, 10.62iter/s]
Best score: 0.1934: : 861iter [01:33, 10.86iter/s]
Best score: 0.1934: : 861iter [01:33, 10.86iter/s]
Best score: 0.1934: : 862iter [01:33, 10.86iter/s]
Best score: 0.1934: : 863iter [01:33, 11.17iter/s]
Best score: 0.1934: : 863iter [01:33, 11.17iter/s]
Best score: 0.1934: : 864iter [01:33, 11.17iter/s]
Best score: 0.1934: : 865iter [01:33, 11.43iter/s]
Best score: 0.1934: : 865iter [01:33, 11.43iter/s]
Best score: 0.1934: : 866iter [01:33, 11.43iter/s]
Best score: 0.1934: : 867iter [01:33, 11.63iter/s]
Best score: 0.1934: : 867iter [01:33, 11.63iter/s]
Best score: 0.1934: : 868iter [01:33, 11.63iter/s]
Best score: 0.1934: : 869iter [01:33, 11.68iter/s]
Best score: 0.1934: : 869iter [01:33, 11.68iter/s]
Best score: 0.1934: : 870iter [01:34, 11.68iter/s]
Best score: 0.1934: : 871iter [01:34, 11.60iter/s]
Best score: 0.1934: : 871iter [01:34, 11.60iter/s]
Best score: 0.1934: : 872iter [01:34, 11.60iter/s]
Best score: 0.1934: : 873iter [01:34, 11.74iter/s]
Best score: 0.1934: : 873iter [01:34, 11.74iter/s]
Best score: 0.1934: : 874iter [01:34, 11.74iter/s]
Best score: 0.1934: : 875iter [01:34, 11.85iter/s]
Best score: 0.1934: : 875iter [01:34, 11.85iter/s]
Best score: 0.1934: : 876iter [01:34, 11.85iter/s]
Best score: 0.1934: : 877iter [01:34, 11.90iter/s]
Best score: 0.1934: : 877iter [01:34, 11.90iter/s]
Best score: 0.1934: : 878iter [01:34, 11.90iter/s]
Best score: 0.1934: : 879iter [01:34, 11.96iter/s]
Best score: 0.1933: : 879iter [01:34, 11.96iter/s]
Best score: 0.1933: : 880iter [01:34, 11.96iter/s]
Best score: 0.1933: : 881iter [01:34, 11.80iter/s]
Best score: 0.1933: : 881iter [01:34, 11.80iter/s]
Best score: 0.1933: : 882iter [01:35, 11.80iter/s]
Best score: 0.1933: : 883iter [01:35, 11.88iter/s]
Best score: 0.1933: : 883iter [01:35, 11.88iter/s]
Best score: 0.1933: : 884iter [01:35, 11.88iter/s]
Best score: 0.1933: : 885iter [01:35, 11.93iter/s]
Best score: 0.1933: : 885iter [01:35, 11.93iter/s]
Best score: 0.1933: : 886iter [01:35, 11.93iter/s]
Best score: 0.1933: : 887iter [01:35, 11.95iter/s]
Best score: 0.1933: : 887iter [01:35, 11.95iter/s]
Best score: 0.1933: : 888iter [01:35, 11.95iter/s]
Best score: 0.1933: : 889iter [01:35, 11.98iter/s]
Best score: 0.1933: : 889iter [01:35, 11.98iter/s]
Best score: 0.1933: : 890iter [01:35, 11.98iter/s]
Best score: 0.1933: : 891iter [01:35, 11.81iter/s]
Best score: 0.1933: : 891iter [01:35, 11.81iter/s]
Best score: 0.1933: : 892iter [01:35, 11.81iter/s]
Best score: 0.1933: : 893iter [01:35, 11.89iter/s]
Best score: 0.1933: : 893iter [01:35, 11.89iter/s]
Best score: 0.1933: : 894iter [01:36, 11.89iter/s]
Best score: 0.1933: : 895iter [01:36, 11.95iter/s]
Best score: 0.1933: : 895iter [01:36, 11.95iter/s]
Best score: 0.1933: : 896iter [01:36, 11.95iter/s]
Best score: 0.1933: : 897iter [01:36, 12.01iter/s]
Best score: 0.1933: : 897iter [01:36, 12.01iter/s]
Best score: 0.1933: : 898iter [01:36, 12.01iter/s]
Best score: 0.1933: : 899iter [01:36, 12.05iter/s]
[ITER 900] Best: 0.1933
[PARAMS] Current best parameters:
  fx: 542.1154
  fy: 542.3560
  px: 995.1818
  py: 738.4021
  k1: -0.01251866
  k2: -0.00159355
  k3: 0.00247874
  k4: -0.00101953
  p1: -0.00195801
  p2: -0.01093943
  p3: -0.02215610
  p4: 0.00735370
  s1: 0.0309
  s2: -0.0079
  s3: 0.0238
  s4: -0.0083
  tilt_x: -0.0083
  tilt_y: -0.0159
  scale: 2.9948
  rotation: -0.4664

Best score: 0.1933: : 899iter [01:36, 12.05iter/s]
Best score: 0.1933: : 900iter [01:36, 12.05iter/s]
Best score: 0.1933: : 901iter [01:36,  7.60iter/s]
Best score: 0.1933: : 901iter [01:36,  7.60iter/s]
Best score: 0.1933: : 902iter [01:37,  7.60iter/s]
Best score: 0.1933: : 903iter [01:37,  8.55iter/s]
Best score: 0.1933: : 903iter [01:37,  8.55iter/s]
Best score: 0.1933: : 904iter [01:37,  8.55iter/s]
Best score: 0.1933: : 905iter [01:37,  9.36iter/s]
Best score: 0.1933: : 905iter [01:37,  9.36iter/s]
Best score: 0.1933: : 906iter [01:37,  9.36iter/s]
Best score: 0.1933: : 907iter [01:37, 10.04iter/s]
Best score: 0.1933: : 907iter [01:37, 10.04iter/s]
Best score: 0.1933: : 908iter [01:37, 10.04iter/s]
Best score: 0.1933: : 909iter [01:37, 10.56iter/s]
Best score: 0.1927: : 909iter [01:37, 10.56iter/s]
Best score: 0.1927: : 910iter [01:37, 10.56iter/s]
Best score: 0.1927: : 911iter [01:37, 10.81iter/s]
Best score: 0.1927: : 911iter [01:37, 10.81iter/s]
Best score: 0.1927: : 912iter [01:37, 10.81iter/s]
Best score: 0.1927: : 913iter [01:37, 11.16iter/s]
Best score: 0.1927: : 913iter [01:37, 11.16iter/s]
Best score: 0.1927: : 914iter [01:38, 11.16iter/s]
Best score: 0.1927: : 915iter [01:38, 11.41iter/s]
Best score: 0.1927: : 915iter [01:38, 11.41iter/s]
Best score: 0.1927: : 916iter [01:38, 11.41iter/s]
Best score: 0.1927: : 917iter [01:38, 11.61iter/s]
Best score: 0.1927: : 917iter [01:38, 11.61iter/s]
Best score: 0.1927: : 918iter [01:38, 11.61iter/s]
Best score: 0.1927: : 919iter [01:38, 11.68iter/s]
Best score: 0.1926: : 919iter [01:38, 11.68iter/s]
Best score: 0.1926: : 920iter [01:38, 11.68iter/s]
Best score: 0.1926: : 921iter [01:38, 11.56iter/s]
Best score: 0.1926: : 921iter [01:38, 11.56iter/s]
Best score: 0.1926: : 922iter [01:38, 11.56iter/s]
Best score: 0.1926: : 923iter [01:38, 11.72iter/s]
Best score: 0.1926: : 923iter [01:38, 11.72iter/s]
Best score: 0.1926: : 924iter [01:38, 11.72iter/s]
Best score: 0.1926: : 925iter [01:38, 11.82iter/s]
Best score: 0.1926: : 925iter [01:38, 11.82iter/s]
Best score: 0.1926: : 926iter [01:39, 11.82iter/s]
Best score: 0.1926: : 927iter [01:39, 11.86iter/s]
Best score: 0.1926: : 927iter [01:39, 11.86iter/s]
Best score: 0.1926: : 928iter [01:39, 11.86iter/s]
Best score: 0.1926: : 929iter [01:39, 11.93iter/s]
Best score: 0.1926: : 929iter [01:39, 11.93iter/s]
Best score: 0.1926: : 930iter [01:39, 11.93iter/s]
Best score: 0.1926: : 931iter [01:39, 11.78iter/s]
Best score: 0.1926: : 931iter [01:39, 11.78iter/s]
Best score: 0.1926: : 932iter [01:39, 11.78iter/s]
Best score: 0.1926: : 933iter [01:39, 11.86iter/s]
Best score: 0.1926: : 933iter [01:39, 11.86iter/s]
Best score: 0.1926: : 934iter [01:39, 11.86iter/s]
Best score: 0.1926: : 935iter [01:39, 11.93iter/s]
Best score: 0.1926: : 935iter [01:39, 11.93iter/s]
Best score: 0.1926: : 936iter [01:39, 11.93iter/s]
Best score: 0.1926: : 937iter [01:39, 11.98iter/s]
Best score: 0.1926: : 937iter [01:39, 11.98iter/s]
Best score: 0.1926: : 938iter [01:40, 11.98iter/s]
Best score: 0.1926: : 939iter [01:40, 12.00iter/s]
Best score: 0.1924: : 939iter [01:40, 12.00iter/s]
Best score: 0.1924: : 940iter [01:40, 12.00iter/s]
Best score: 0.1924: : 941iter [01:40, 11.81iter/s]
Best score: 0.1924: : 941iter [01:40, 11.81iter/s]
Best score: 0.1924: : 942iter [01:40, 11.81iter/s]
Best score: 0.1924: : 943iter [01:40, 11.81iter/s]
Best score: 0.1924: : 943iter [01:40, 11.81iter/s]
Best score: 0.1924: : 944iter [01:40, 11.81iter/s]
Best score: 0.1924: : 945iter [01:40, 11.89iter/s]
Best score: 0.1924: : 945iter [01:40, 11.89iter/s]
Best score: 0.1924: : 946iter [01:40, 11.89iter/s]
Best score: 0.1924: : 947iter [01:40, 11.90iter/s]
Best score: 0.1924: : 947iter [01:40, 11.90iter/s]
Best score: 0.1924: : 948iter [01:40, 11.90iter/s]
Best score: 0.1924: : 949iter [01:40, 11.96iter/s]
[ITER 950] Best: 0.1924
[PARAMS] Current best parameters:
  fx: 541.7126
  fy: 541.9783
  px: 995.1314
  py: 739.0167
  k1: -0.01193149
  k2: -0.00093165
  k3: 0.00152404
  k4: -0.00072775
  p1: -0.00145487
  p2: -0.01094726
  p3: -0.02290128
  p4: 0.00773147
  s1: 0.0315
  s2: -0.0083
  s3: 0.0245
  s4: -0.0085
  tilt_x: -0.0064
  tilt_y: -0.0156
  scale: 2.9935
  rotation: -0.4718

Best score: 0.1924: : 949iter [01:40, 11.96iter/s]
Best score: 0.1924: : 950iter [01:41, 11.96iter/s]
Best score: 0.1924: : 951iter [01:41,  7.66iter/s]
Best score: 0.1924: : 951iter [01:41,  7.66iter/s]
Best score: 0.1924: : 952iter [01:41,  7.66iter/s]
Best score: 0.1924: : 953iter [01:41,  8.60iter/s]
Best score: 0.1924: : 953iter [01:41,  8.60iter/s]
Best score: 0.1924: : 954iter [01:41,  8.60iter/s]
Best score: 0.1924: : 955iter [01:41,  9.38iter/s]
Best score: 0.1924: : 955iter [01:41,  9.38iter/s]
Best score: 0.1924: : 956iter [01:41,  9.38iter/s]
Best score: 0.1924: : 957iter [01:41,  9.98iter/s]
Best score: 0.1924: : 957iter [01:41,  9.98iter/s]
Best score: 0.1924: : 958iter [01:42,  9.98iter/s]
Best score: 0.1924: : 959iter [01:42, 10.50iter/s]
Best score: 0.1924: : 959iter [01:42, 10.50iter/s]
Best score: 0.1924: : 960iter [01:42, 10.50iter/s]
Best score: 0.1924: : 961iter [01:42, 10.76iter/s]
Best score: 0.1924: : 961iter [01:42, 10.76iter/s]
Best score: 0.1924: : 962iter [01:42, 10.76iter/s]
Best score: 0.1924: : 963iter [01:42, 11.14iter/s]
Best score: 0.1924: : 963iter [01:42, 11.14iter/s]
Best score: 0.1924: : 964iter [01:42, 11.14iter/s]
Best score: 0.1924: : 965iter [01:42, 11.40iter/s]
Best score: 0.1924: : 965iter [01:42, 11.40iter/s]
Best score: 0.1924: : 966iter [01:42, 11.40iter/s]
Best score: 0.1924: : 967iter [01:42, 11.60iter/s]
Best score: 0.1924: : 967iter [01:42, 11.60iter/s]
Best score: 0.1924: : 968iter [01:42, 11.60iter/s]
Best score: 0.1924: : 969iter [01:42, 11.74iter/s]
Best score: 0.1924: : 969iter [01:42, 11.74iter/s]
Best score: 0.1924: : 970iter [01:43, 11.74iter/s]
Best score: 0.1924: : 971iter [01:43, 11.61iter/s]
Best score: 0.1924: : 971iter [01:43, 11.61iter/s]
Best score: 0.1924: : 972iter [01:43, 11.61iter/s]
Best score: 0.1924: : 973iter [01:43, 11.74iter/s]
Best score: 0.1924: : 973iter [01:43, 11.74iter/s]
Best score: 0.1924: : 974iter [01:43, 11.74iter/s]
Best score: 0.1924: : 975iter [01:43, 11.75iter/s]
Best score: 0.1924: : 975iter [01:43, 11.75iter/s]
Best score: 0.1924: : 976iter [01:43, 11.75iter/s]
Best score: 0.1924: : 977iter [01:43, 11.77iter/s]
Best score: 0.1924: : 977iter [01:43, 11.77iter/s]
Best score: 0.1924: : 978iter [01:43, 11.77iter/s]
Best score: 0.1924: : 979iter [01:43, 11.85iter/s]
Best score: 0.1920: : 979iter [01:43, 11.85iter/s]
Best score: 0.1920: : 980iter [01:43, 11.85iter/s]
Best score: 0.1920: : 981iter [01:43, 11.65iter/s]
Best score: 0.1920: : 981iter [01:43, 11.65iter/s]
Best score: 0.1920: : 982iter [01:44, 11.65iter/s]
Best score: 0.1920: : 983iter [01:44, 11.75iter/s]
Best score: 0.1920: : 983iter [01:44, 11.75iter/s]
Best score: 0.1920: : 984iter [01:44, 11.75iter/s]
Best score: 0.1920: : 985iter [01:44, 11.85iter/s]
Best score: 0.1920: : 985iter [01:44, 11.85iter/s]
Best score: 0.1920: : 986iter [01:44, 11.85iter/s]
Best score: 0.1920: : 987iter [01:44, 11.93iter/s]
Best score: 0.1920: : 987iter [01:44, 11.93iter/s]
Best score: 0.1920: : 988iter [01:44, 11.93iter/s]
Best score: 0.1920: : 989iter [01:44, 11.96iter/s]
Best score: 0.1919: : 989iter [01:44, 11.96iter/s]
Best score: 0.1919: : 990iter [01:44, 11.96iter/s]
Best score: 0.1919: : 991iter [01:44, 11.77iter/s]
Best score: 0.1919: : 991iter [01:44, 11.77iter/s]
Best score: 0.1919: : 992iter [01:44, 11.77iter/s]
Best score: 0.1919: : 993iter [01:44, 11.77iter/s]
Best score: 0.1919: : 993iter [01:44, 11.77iter/s]
Best score: 0.1919: : 994iter [01:45, 11.77iter/s]
Best score: 0.1919: : 995iter [01:45, 11.77iter/s]
Best score: 0.1919: : 995iter [01:45, 11.77iter/s]
Best score: 0.1919: : 996iter [01:45, 11.77iter/s]
Best score: 0.1919: : 997iter [01:45, 11.78iter/s]
Best score: 0.1919: : 997iter [01:45, 11.78iter/s]
Best score: 0.1919: : 998iter [01:45, 11.78iter/s]
Best score: 0.1919: : 999iter [01:45, 11.86iter/s]
[ITER 1000] Best: 0.1919
[PARAMS] Current best parameters:
  fx: 542.3299
  fy: 542.6435
  px: 994.9344
  py: 738.8270
  k1: -0.01624430
  k2: 0.00528139
  k3: -0.00233651
  k4: 0.00013864
  p1: -0.00276709
  p2: -0.01303978
  p3: -0.02174976
  p4: 0.00813631
  s1: 0.0322
  s2: -0.0087
  s3: 0.0241
  s4: -0.0087
  tilt_x: -0.0046
  tilt_y: -0.0189
  scale: 2.9964
  rotation: -0.4687

Best score: 0.1919: : 999iter [01:45, 11.86iter/s]
Best score: 0.1919: : 1000iter [01:45, 11.86iter/s]
Best score: 0.1919: : 1001iter [01:45,  7.62iter/s]
Best score: 0.1919: : 1001iter [01:45,  7.62iter/s]
Best score: 0.1919: : 1002iter [01:46,  7.62iter/s]
Best score: 0.1919: : 1003iter [01:46,  8.57iter/s]
Best score: 0.1919: : 1003iter [01:46,  8.57iter/s]
Best score: 0.1919: : 1004iter [01:46,  8.57iter/s]
Best score: 0.1919: : 1005iter [01:46,  9.35iter/s]
Best score: 0.1919: : 1005iter [01:46,  9.35iter/s]
Best score: 0.1919: : 1006iter [01:46,  9.35iter/s]
Best score: 0.1919: : 1007iter [01:46, 10.03iter/s]
Best score: 0.1919: : 1007iter [01:46, 10.03iter/s]
Best score: 0.1919: : 1008iter [01:46, 10.03iter/s]
Best score: 0.1919: : 1009iter [01:46, 10.57iter/s]
Best score: 0.1919: : 1009iter [01:46, 10.57iter/s]
Best score: 0.1919: : 1010iter [01:46, 10.57iter/s]
Best score: 0.1919: : 1011iter [01:46, 10.77iter/s]
Best score: 0.1919: : 1011iter [01:46, 10.77iter/s]
Best score: 0.1919: : 1012iter [01:46, 10.77iter/s]
Best score: 0.1919: : 1013iter [01:46, 11.10iter/s]
Best score: 0.1919: : 1013iter [01:46, 11.10iter/s]
Best score: 0.1919: : 1014iter [01:47, 11.10iter/s]
Best score: 0.1919: : 1015iter [01:47, 11.30iter/s]
Best score: 0.1919: : 1015iter [01:47, 11.30iter/s]
Best score: 0.1919: : 1016iter [01:47, 11.30iter/s]
Best score: 0.1919: : 1017iter [01:47, 11.41iter/s]
Best score: 0.1919: : 1017iter [01:47, 11.41iter/s]
Best score: 0.1919: : 1018iter [01:47, 11.41iter/s]
Best score: 0.1919: : 1019iter [01:47, 11.51iter/s]
Best score: 0.1919: : 1019iter [01:47, 11.51iter/s]
Best score: 0.1919: : 1020iter [01:47, 11.51iter/s]
Best score: 0.1919: : 1021iter [01:47, 11.49iter/s]
Best score: 0.1919: : 1021iter [01:47, 11.49iter/s]
Best score: 0.1919: : 1022iter [01:47, 11.49iter/s]
Best score: 0.1919: : 1023iter [01:47, 11.65iter/s]
Best score: 0.1919: : 1023iter [01:47, 11.65iter/s]
Best score: 0.1919: : 1024iter [01:47, 11.65iter/s]
Best score: 0.1919: : 1025iter [01:47, 11.75iter/s]
Best score: 0.1919: : 1025iter [01:47, 11.75iter/s]
Best score: 0.1919: : 1026iter [01:48, 11.75iter/s]
Best score: 0.1919: : 1027iter [01:48, 11.82iter/s]
Best score: 0.1919: : 1027iter [01:48, 11.82iter/s]
Best score: 0.1919: : 1028iter [01:48, 11.82iter/s]
Best score: 0.1919: : 1029iter [01:48, 11.90iter/s]
Best score: 0.1918: : 1029iter [01:48, 11.90iter/s]
Best score: 0.1918: : 1030iter [01:48, 11.90iter/s]
Best score: 0.1918: : 1031iter [01:48, 11.68iter/s]
Best score: 0.1918: : 1031iter [01:48, 11.68iter/s]
Best score: 0.1918: : 1032iter [01:48, 11.68iter/s]
Best score: 0.1918: : 1033iter [01:48, 11.78iter/s]
Best score: 0.1918: : 1033iter [01:48, 11.78iter/s]
Best score: 0.1918: : 1034iter [01:48, 11.78iter/s]
Best score: 0.1918: : 1035iter [01:48, 11.88iter/s]
Best score: 0.1918: : 1035iter [01:48, 11.88iter/s]
Best score: 0.1918: : 1036iter [01:48, 11.88iter/s]
Best score: 0.1918: : 1037iter [01:48, 11.93iter/s]
Best score: 0.1918: : 1037iter [01:48, 11.93iter/s]
Best score: 0.1918: : 1038iter [01:49, 11.93iter/s]
Best score: 0.1918: : 1039iter [01:49, 11.98iter/s]
Best score: 0.1918: : 1039iter [01:49, 11.98iter/s]
Best score: 0.1918: : 1040iter [01:49, 11.98iter/s]
Best score: 0.1918: : 1041iter [01:49, 11.76iter/s]
Best score: 0.1918: : 1041iter [01:49, 11.76iter/s]
Best score: 0.1918: : 1042iter [01:49, 11.76iter/s]
Best score: 0.1918: : 1043iter [01:49, 11.85iter/s]
Best score: 0.1918: : 1043iter [01:49, 11.85iter/s]
Best score: 0.1918: : 1044iter [01:49, 11.85iter/s]
Best score: 0.1918: : 1045iter [01:49, 11.92iter/s]
Best score: 0.1918: : 1045iter [01:49, 11.92iter/s]
Best score: 0.1918: : 1046iter [01:49, 11.92iter/s]
Best score: 0.1918: : 1047iter [01:49, 11.87iter/s]
Best score: 0.1918: : 1047iter [01:49, 11.87iter/s]
Best score: 0.1918: : 1048iter [01:49, 11.87iter/s]
Best score: 0.1918: : 1049iter [01:49, 11.88iter/s]
[ITER 1050] Best: 0.1918
[PARAMS] Current best parameters:
  fx: 542.0447
  fy: 542.3505
  px: 994.9147
  py: 739.2504
  k1: -0.01706264
  k2: 0.00773182
  k3: -0.00420404
  k4: 0.00060398
  p1: -0.00289049
  p2: -0.01330534
  p3: -0.02151772
  p4: 0.00850263
  s1: 0.0324
  s2: -0.0091
  s3: 0.0245
  s4: -0.0091
  tilt_x: -0.0024
  tilt_y: -0.0193
  scale: 2.9969
  rotation: -0.4702

Best score: 0.1918: : 1049iter [01:50, 11.88iter/s]
Best score: 0.1918: : 1050iter [01:50, 11.88iter/s]
Best score: 0.1918: : 1051iter [01:50,  7.64iter/s]
Best score: 0.1918: : 1051iter [01:50,  7.64iter/s]
Best score: 0.1918: : 1052iter [01:50,  7.64iter/s]
Best score: 0.1918: : 1053iter [01:50,  8.59iter/s]
Best score: 0.1918: : 1053iter [01:50,  8.59iter/s]
Best score: 0.1918: : 1054iter [01:50,  8.59iter/s]
Best score: 0.1918: : 1055iter [01:50,  9.41iter/s]
Best score: 0.1918: : 1055iter [01:50,  9.41iter/s]
Best score: 0.1918: : 1056iter [01:50,  9.41iter/s]
Best score: 0.1918: : 1057iter [01:50, 10.07iter/s]
Best score: 0.1918: : 1057iter [01:50, 10.07iter/s]
Best score: 0.1918: : 1058iter [01:51, 10.07iter/s]
Best score: 0.1918: : 1059iter [01:51, 10.60iter/s]
Best score: 0.1917: : 1059iter [01:51, 10.60iter/s]
Best score: 0.1917: : 1060iter [01:51, 10.60iter/s]
Best score: 0.1917: : 1061iter [01:51, 10.84iter/s]
Best score: 0.1917: : 1061iter [01:51, 10.84iter/s]
Best score: 0.1917: : 1062iter [01:51, 10.84iter/s]
Best score: 0.1917: : 1063iter [01:51, 11.19iter/s]
Best score: 0.1917: : 1063iter [01:51, 11.19iter/s]
Best score: 0.1917: : 1064iter [01:51, 11.19iter/s]
Best score: 0.1917: : 1065iter [01:51, 11.44iter/s]
Best score: 0.1917: : 1065iter [01:51, 11.44iter/s]
Best score: 0.1917: : 1066iter [01:51, 11.44iter/s]
Best score: 0.1917: : 1067iter [01:51, 11.55iter/s]
Best score: 0.1917: : 1067iter [01:51, 11.55iter/s]
Best score: 0.1917: : 1068iter [01:51, 11.55iter/s]
Best score: 0.1917: : 1069iter [01:51, 11.71iter/s]
Best score: 0.1917: : 1069iter [01:51, 11.71iter/s]
Best score: 0.1917: : 1070iter [01:52, 11.71iter/s]
Best score: 0.1917: : 1071iter [01:52, 11.62iter/s]
Best score: 0.1917: : 1071iter [01:52, 11.62iter/s]
Best score: 0.1917: : 1072iter [01:52, 11.62iter/s]
Best score: 0.1917: : 1073iter [01:52, 11.75iter/s]
Best score: 0.1917: : 1073iter [01:52, 11.75iter/s]
Best score: 0.1917: : 1074iter [01:52, 11.75iter/s]
Best score: 0.1917: : 1075iter [01:52, 11.84iter/s]
Best score: 0.1917: : 1075iter [01:52, 11.84iter/s]
Best score: 0.1917: : 1076iter [01:52, 11.84iter/s]
Best score: 0.1917: : 1077iter [01:52, 11.91iter/s]
Best score: 0.1917: : 1077iter [01:52, 11.91iter/s]
Best score: 0.1917: : 1078iter [01:52, 11.91iter/s]
Best score: 0.1917: : 1079iter [01:52, 11.96iter/s]
Best score: 0.1917: : 1079iter [01:52, 11.96iter/s]
Best score: 0.1917: : 1080iter [01:52, 11.96iter/s]
Best score: 0.1917: : 1081iter [01:52, 11.79iter/s]
Best score: 0.1917: : 1081iter [01:52, 11.79iter/s]
Best score: 0.1917: : 1082iter [01:53, 11.79iter/s]
Best score: 0.1917: : 1083iter [01:53, 11.89iter/s]
Best score: 0.1917: : 1083iter [01:53, 11.89iter/s]
Best score: 0.1917: : 1084iter [01:53, 11.89iter/s]
Best score: 0.1917: : 1085iter [01:53, 11.95iter/s]
Best score: 0.1917: : 1085iter [01:53, 11.95iter/s]
Best score: 0.1917: : 1086iter [01:53, 11.95iter/s]
Best score: 0.1917: : 1087iter [01:53,  9.23iter/s]
Best score: 0.1917: : 1087iter [01:53,  9.23iter/s]
Best score: 0.1917: : 1088iter [01:53,  9.23iter/s]
Best score: 0.1917: : 1089iter [01:53,  9.91iter/s]
Best score: 0.1917: : 1089iter [01:53,  9.91iter/s]
Best score: 0.1917: : 1090iter [01:53,  9.91iter/s]
Best score: 0.1917: : 1091iter [01:53, 10.32iter/s]
Best score: 0.1917: : 1091iter [01:54, 10.32iter/s]
Best score: 0.1917: : 1092iter [01:54, 10.32iter/s]
Best score: 0.1917: : 1093iter [01:54, 10.79iter/s]
Best score: 0.1917: : 1093iter [01:54, 10.79iter/s]
Best score: 0.1917: : 1094iter [01:54, 10.79iter/s]
Best score: 0.1917: : 1095iter [01:54, 11.15iter/s]
Best score: 0.1917: : 1095iter [01:54, 11.15iter/s]
Best score: 0.1917: : 1096iter [01:54, 11.15iter/s]
Best score: 0.1917: : 1097iter [01:54, 11.39iter/s]
Best score: 0.1917: : 1097iter [01:54, 11.39iter/s]
Best score: 0.1917: : 1098iter [01:54, 11.39iter/s]
Best score: 0.1917: : 1099iter [01:54, 11.57iter/s]
[ITER 1100] Best: 0.1917
[PARAMS] Current best parameters:
  fx: 542.3041
  fy: 542.5911
  px: 994.7670
  py: 739.2855
  k1: -0.01730738
  k2: 0.00771220
  k3: -0.00414211
  k4: 0.00058134
  p1: -0.00324508
  p2: -0.01330167
  p3: -0.02050731
  p4: 0.00822343
  s1: 0.0313
  s2: -0.0089
  s3: 0.0238
  s4: -0.0087
  tilt_x: -0.0015
  tilt_y: -0.0186
  scale: 2.9967
  rotation: -0.4690

Best score: 0.1917: : 1099iter [01:54, 11.57iter/s]
Best score: 0.1917: : 1100iter [01:54,  9.57iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.191712 -> 0.191659

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,651 → 93,302 within 3500mm ring
  Ring polish did not improve score: 0.191659
  Success: True
  Tangential distortion: p1=-0.003237, p2=-0.013308, p3=-0.020507, p4=0.008233
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1917
[✅] Parameters copied to: /working/MDC050_W019(6)_09-09-2026/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 542.3041074262305
    fy: 542.5910882978756
    px: 994.7670151960389
    py: 739.2855216323055
    k1: -0.017304924376385606
    k2: 0.007710701236678398
    k3: -0.004145990851946807
    k4: 0.0005848854589874282
    p1: -0.0032373922174242695
    p2: -0.013307965477893669
    p3: -0.020507150966696322
    p4: 0.00823270449291089
    scale: 2.996685580425557
    rotation: -0.46899694821071775
    mmpp: 3.435426754681784

[🔄] Converting 2432 frames to PTD, creating debug images for 400 calibration frames...

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   🔄 1500:   3%|▎         | 19/744 [00:00<00:03, 187.12frame/s]

   🔄 1500:   5%|▌         | 38/744 [00:00<00:03, 182.54frame/s]

   🔄 1500:   8%|▊         | 57/744 [00:00<00:03, 181.16frame/s]

   🔄 1500:  10%|█         | 76/744 [00:00<00:03, 176.88frame/s]

   🔄 1500:  13%|█▎        | 95/744 [00:00<00:03, 178.83frame/s]

   🔄 1500:  15%|█▌        | 114/744 [00:00<00:03, 180.12frame/s]

   🔄 1500:  18%|█▊        | 133/744 [00:00<00:03, 180.57frame/s]

   🔄 1500:  20%|██        | 152/744 [00:00<00:03, 180.71frame/s]

   🔄 1500:  23%|██▎       | 171/744 [00:00<00:03, 180.89frame/s]

   🔄 1500:  26%|██▌       | 190/744 [00:01<00:03, 180.59frame/s]

   🔄 1500:  28%|██▊       | 209/744 [00:01<00:02, 179.26frame/s]

   🔄 1500:  31%|███       | 227/744 [00:01<00:02, 178.62frame/s]

   🔄 1500:  33%|███▎      | 245/744 [00:01<00:02, 178.46frame/s]

   🔄 1500:  35%|███▌      | 263/744 [00:01<00:02, 178.89frame/s]

   🔄 1500:  38%|███▊      | 281/744 [00:01<00:02, 178.95frame/s]

   🔄 1500:  40%|████      | 299/744 [00:01<00:02, 178.70frame/s]

   🔄 1500:  43%|████▎     | 318/744 [00:01<00:02, 179.54frame/s]

   🔄 1500:  45%|████▌     | 337/744 [00:01<00:02, 180.45frame/s]

   🔄 1500:  48%|████▊     | 356/744 [00:01<00:02, 181.24frame/s]

   🔄 1500:  50%|█████     | 375/744 [00:02<00:02, 181.64frame/s]

   🔄 1500:  53%|█████▎    | 394/744 [00:02<00:01, 181.81frame/s]

   🔄 1500:  56%|█████▌    | 413/744 [00:02<00:01, 182.17frame/s]

   🔄 1500:  58%|█████▊    | 432/744 [00:02<00:01, 182.40frame/s]

   🔄 1500:  61%|██████    | 451/744 [00:02<00:01, 182.50frame/s]

   🔄 1500:  63%|██████▎   | 470/744 [00:02<00:01, 181.41frame/s]

   🔄 1500:  66%|██████▌   | 489/744 [00:02<00:01, 180.45frame/s]

   🔄 1500:  68%|██████▊   | 508/744 [00:02<00:01, 180.09frame/s]

   🔄 1500:  71%|███████   | 527/744 [00:02<00:01, 179.83frame/s]

   🔄 1500:  73%|███████▎  | 545/744 [00:03<00:01, 179.17frame/s]

   🔄 1500:  76%|███████▌  | 563/744 [00:03<00:01, 178.86frame/s]

   🔄 1500:  78%|███████▊  | 581/744 [00:03<00:00, 178.75frame/s]

   🔄 1500:  81%|████████  | 599/744 [00:03<00:00, 178.85frame/s]

   🔄 1500:  83%|████████▎ | 617/744 [00:03<00:00, 179.10frame/s]

   🔄 1500:  85%|████████▌ | 636/744 [00:03<00:00, 179.39frame/s]

   🔄 1500:  88%|████████▊ | 655/744 [00:03<00:00, 179.60frame/s]

   🔄 1500:  91%|█████████ | 674/744 [00:03<00:00, 179.74frame/s]

   🔄 1500:  93%|█████████▎| 692/744 [00:03<00:00, 179.47frame/s]

   🔄 1500:  95%|█████████▌| 710/744 [00:03<00:00, 178.91frame/s]

   🔄 1500:  98%|█████████▊| 728/744 [00:04<00:00, 177.86frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:13<00:13,  6.76s/rig]

   🔄 1000:   0%|          | 0/567 [00:00<?, ?frame/s]

   🔄 1000:   3%|▎         | 19/567 [00:00<00:02, 186.67frame/s]

   🔄 1000:   7%|▋         | 39/567 [00:00<00:02, 189.10frame/s]

   🔄 1000:  10%|█         | 58/567 [00:00<00:02, 186.15frame/s]

   🔄 1000:  14%|█▎        | 77/567 [00:00<00:02, 186.19frame/s]

   🔄 1000:  17%|█▋        | 96/567 [00:00<00:02, 186.51frame/s]

   🔄 1000:  20%|██        | 115/567 [00:00<00:02, 186.65frame/s]

   🔄 1000:  24%|██▎       | 134/567 [00:00<00:02, 186.75frame/s]

   🔄 1000:  27%|██▋       | 153/567 [00:00<00:02, 186.67frame/s]

   🔄 1000:  30%|███       | 172/567 [00:00<00:02, 186.23frame/s]

   🔄 1000:  34%|███▎      | 191/567 [00:01<00:02, 185.75frame/s]

   🔄 1000:  37%|███▋      | 210/567 [00:01<00:01, 184.95frame/s]

   🔄 1000:  40%|████      | 229/567 [00:01<00:01, 184.07frame/s]

   🔄 1000:  44%|████▎     | 248/567 [00:01<00:01, 184.88frame/s]

   🔄 1000:  47%|████▋     | 267/567 [00:01<00:01, 185.82frame/s]

   🔄 1000:  50%|█████     | 286/567 [00:01<00:01, 186.51frame/s]

   🔄 1000:  54%|█████▍    | 305/567 [00:01<00:01, 187.16frame/s]

   🔄 1000:  57%|█████▋    | 324/567 [00:01<00:01, 187.55frame/s]

   🔄 1000:  60%|██████    | 343/567 [00:01<00:01, 187.60frame/s]

   🔄 1000:  64%|██████▍   | 362/567 [00:01<00:01, 187.27frame/s]

   🔄 1000:  67%|██████▋   | 381/567 [00:02<00:01, 185.82frame/s]

   🔄 1000:  71%|███████   | 400/567 [00:02<00:00, 185.14frame/s]

   🔄 1000:  74%|███████▍  | 419/567 [00:02<00:01, 106.05frame/s]

   🔄 1000:  77%|███████▋  | 438/567 [00:02<00:01, 121.93frame/s]

   🔄 1000:  81%|████████  | 457/567 [00:02<00:00, 136.23frame/s]

   🔄 1000:  84%|████████▍ | 476/567 [00:02<00:00, 148.53frame/s]

   🔄 1000:  87%|████████▋ | 495/567 [00:02<00:00, 158.51frame/s]

   🔄 1000:  91%|█████████ | 514/567 [00:03<00:00, 166.14frame/s]

   🔄 1000:  94%|█████████▍| 533/567 [00:03<00:00, 171.54frame/s]

   🔄 1000:  97%|█████████▋| 552/567 [00:03<00:00, 175.34frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:18<00:06,  6.21s/rig]

   🔄 2000R:   0%|          | 0/537 [00:00<?, ?frame/s]

   🔄 2000R:   3%|▎         | 18/537 [00:00<00:02, 179.48frame/s]

   🔄 2000R:   7%|▋         | 36/537 [00:00<00:02, 177.90frame/s]

   🔄 2000R:  10%|█         | 54/537 [00:00<00:02, 177.75frame/s]

   🔄 2000R:  13%|█▎        | 72/537 [00:00<00:02, 177.79frame/s]

   🔄 2000R:  17%|█▋        | 90/537 [00:00<00:02, 178.03frame/s]

   🔄 2000R:  20%|██        | 109/537 [00:00<00:02, 178.73frame/s]

   🔄 2000R:  24%|██▍       | 128/537 [00:00<00:02, 179.28frame/s]

   🔄 2000R:  27%|██▋       | 146/537 [00:00<00:02, 179.40frame/s]

   🔄 2000R:  31%|███       | 165/537 [00:00<00:02, 179.59frame/s]

   🔄 2000R:  34%|███▍      | 183/537 [00:01<00:01, 179.64frame/s]

   🔄 2000R:  37%|███▋      | 201/537 [00:01<00:01, 179.17frame/s]

   🔄 2000R:  41%|████      | 219/537 [00:01<00:01, 178.68frame/s]

   🔄 2000R:  44%|████▍     | 237/537 [00:01<00:01, 178.11frame/s]

   🔄 2000R:  47%|████▋     | 255/537 [00:01<00:01, 177.38frame/s]

   🔄 2000R:  51%|█████     | 273/537 [00:01<00:01, 177.46frame/s]

   🔄 2000R:  54%|█████▍    | 291/537 [00:01<00:01, 176.88frame/s]

   🔄 2000R:  58%|█████▊    | 309/537 [00:01<00:01, 176.87frame/s]

   🔄 2000R:  61%|██████    | 327/537 [00:01<00:01, 177.44frame/s]

   🔄 2000R:  64%|██████▍   | 345/537 [00:01<00:01, 177.37frame/s]

   🔄 2000R:  68%|██████▊   | 363/537 [00:02<00:00, 177.03frame/s]

   🔄 2000R:  71%|███████   | 382/537 [00:02<00:00, 178.09frame/s]

   🔄 2000R:  75%|███████▍  | 401/537 [00:02<00:00, 178.88frame/s]

   🔄 2000R:  78%|███████▊  | 419/537 [00:02<00:00, 178.98frame/s]

   🔄 2000R:  81%|████████▏ | 437/537 [00:02<00:00, 178.04frame/s]

   🔄 2000R:  85%|████████▍ | 455/537 [00:02<00:00, 178.33frame/s]

   🔄 2000R:  88%|████████▊ | 473/537 [00:02<00:00, 177.69frame/s]

   🔄 2000R:  91%|█████████▏| 491/537 [00:02<00:00, 177.65frame/s]

   🔄 2000R:  95%|█████████▍| 509/537 [00:02<00:00, 177.95frame/s]

   🔄 2000R:  98%|█████████▊| 527/537 [00:02<00:00, 176.99frame/s]

                                                                  
📁 Rigs: 100%|██████████| 4/4 [00:24<00:00,  5.91s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:24<00:00,  6.07s/rig]
[✅] Saved PTDs: /working/MDC050_W019(6)_09-09-2026/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 174.49frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 176.79frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 175.69frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 175.93frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 176.79frame/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, 175.61frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 174.90frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 176.16frame/s]

   🔄 1500:  72%|███████▏  | 72/100 [00:00<00:00, 176.71frame/s]

   🔄 1500:  90%|█████████ | 90/100 [00:00<00:00, 176.03frame/s]

                                                                
📁 Rigs:  50%|█████     | 2/4 [00:01<00:01,  1.08rig/s]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 180.91frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 181.22frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 182.77frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 182.52frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 183.25frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.01rig/s]

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 172.36frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 173.79frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 172.85frame/s]

   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 173.65frame/s]

   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 174.76frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.04rig/s]
[✅] Saved PTDs: /working/MDC050_W019(6)_09-09-2026/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%|▎         | 79267/3080448 [00:00<00:03, 792661.31px/s]
📤 Writing LUT:   5%|▌         | 166570/3080448 [00:00<00:03, 839934.91px/s]
📤 Writing LUT:   8%|▊         | 250564/3080448 [00:00<00:03, 839110.87px/s]
📤 Writing LUT:  11%|█         | 334781/3080448 [00:00<00:03, 840314.22px/s]
📤 Writing LUT:  14%|█▍        | 424794/3080448 [00:00<00:03, 861872.51px/s]
📤 Writing LUT:  17%|█▋        | 513405/3080448 [00:00<00:02, 870107.92px/s]
📤 Writing LUT:  20%|█▉        | 600959/3080448 [00:00<00:02, 871881.71px/s]
📤 Writing LUT:  22%|██▏       | 688148/3080448 [00:00<00:02, 870792.87px/s]
📤 Writing LUT:  25%|██▌       | 775228/3080448 [00:00<00:02, 869291.68px/s]
📤 Writing LUT:  28%|██▊       | 862159/3080448 [00:01<00:02, 867764.94px/s]
📤 Writing LUT:  31%|███       | 948937/3080448 [00:01<00:02, 866593.43px/s]
📤 Writing LUT:  34%|███▎      | 1037020/3080448 [00:01<00:02, 870887.14px/s]
📤 Writing LUT:  37%|███▋      | 1125253/3080448 [00:01<00:02, 874344.74px/s]
📤 Writing LUT:  39%|███▉      | 1213347/3080448 [00:01<00:02, 876331.29px/s]
📤 Writing LUT:  42%|████▏     | 1304423/3080448 [00:01<00:02, 886697.25px/s]
📤 Writing LUT:  45%|████▌     | 1393190/3080448 [00:01<00:01, 886988.20px/s]
📤 Writing LUT:  48%|████▊     | 1481891/3080448 [00:01<00:01, 885724.96px/s]
📤 Writing LUT:  51%|█████     | 1570465/3080448 [00:01<00:01, 884333.95px/s]
📤 Writing LUT:  54%|█████▍    | 1659149/3080448 [00:01<00:01, 885083.45px/s]
📤 Writing LUT:  57%|█████▋    | 1747659/3080448 [00:02<00:01, 883093.30px/s]
📤 Writing LUT:  60%|█████▉    | 1835970/3080448 [00:02<00:01, 882328.29px/s]
📤 Writing LUT:  62%|██████▏   | 1924204/3080448 [00:02<00:01, 877853.59px/s]
📤 Writing LUT:  65%|██████▌   | 2011995/3080448 [00:02<00:01, 876710.74px/s]
📤 Writing LUT:  68%|██████▊   | 2100675/3080448 [00:02<00:01, 879723.80px/s]
📤 Writing LUT:  71%|███████   | 2188697/3080448 [00:02<00:01, 879869.94px/s]
📤 Writing LUT:  74%|███████▍  | 2276762/3080448 [00:02<00:00, 880101.19px/s]
📤 Writing LUT:  77%|███████▋  | 2364774/3080448 [00:02<00:00, 880036.69px/s]
📤 Writing LUT:  80%|███████▉  | 2453452/3080448 [00:02<00:00, 882055.78px/s]
📤 Writing LUT:  83%|████████▎ | 2541659/3080448 [00:02<00:00, 880019.37px/s]
📤 Writing LUT:  85%|████████▌ | 2630763/3080448 [00:03<00:00, 883315.48px/s]
📤 Writing LUT:  88%|████████▊ | 2719097/3080448 [00:03<00:00, 555202.53px/s]
📤 Writing LUT:  91%|█████████ | 2806929/3080448 [00:03<00:00, 623688.18px/s]
📤 Writing LUT:  94%|█████████▍| 2895795/3080448 [00:03<00:00, 685271.50px/s]
📤 Writing LUT:  97%|█████████▋| 2984653/3080448 [00:03<00:00, 735948.24px/s]
📤 Writing LUT: 100%|█████████▉| 3074984/3080448 [00:03<00:00, 779893.86px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 830183.68px/s]
[✅] LUT written to: /working/MDC050_W019(6)_09-09-2026/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC050_W019(6)_09-09-2026' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC050_W019(6)_09-09-2026/calibration/MDC050_W019(6)_09-09-2026_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]

   🔥 2000L:   0%|          | 0/584 [00:00<?, ?frame/s]

   🔥 2000L:   2%|▏         | 9/584 [00:00<00:06, 83.29frame/s]

   🔥 2000L:   3%|▎         | 18/584 [00:00<00:06, 81.92frame/s]

   🔥 2000L:   5%|▍         | 27/584 [00:00<00:06, 81.28frame/s]

   🔥 2000L:   6%|▌         | 36/584 [00:00<00:06, 81.23frame/s]

   🔥 2000L:   8%|▊         | 45/584 [00:00<00:06, 81.25frame/s]

   🔥 2000L:   9%|▉         | 54/584 [00:00<00:06, 81.26frame/s]

   🔥 2000L:  11%|█         | 63/584 [00:00<00:06, 81.86frame/s]

   🔥 2000L:  12%|█▏        | 72/584 [00:00<00:06, 82.05frame/s]

   🔥 2000L:  14%|█▍        | 81/584 [00:00<00:06, 83.15frame/s]

   🔥 2000L:  15%|█▌        | 90/584 [00:01<00:05, 84.28frame/s]

   🔥 2000L:  17%|█▋        | 100/584 [00:01<00:05, 86.68frame/s]

   🔥 2000L:  19%|█▉        | 110/584 [00:01<00:05, 88.07frame/s]

   🔥 2000L:  21%|██        | 120/584 [00:01<00:05, 89.60frame/s]

   🔥 2000L:  22%|██▏       | 130/584 [00:01<00:04, 91.81frame/s]

   🔥 2000L:  24%|██▍       | 141/584 [00:01<00:04, 96.06frame/s]

   🔥 2000L:  26%|██▌       | 153/584 [00:01<00:04, 100.94frame/s]

   🔥 2000L:  28%|██▊       | 164/584 [00:01<00:04, 102.99frame/s]

   🔥 2000L:  30%|██▉       | 175/584 [00:01<00:03, 103.55frame/s]

   🔥 2000L:  32%|███▏      | 186/584 [00:02<00:03, 103.14frame/s]

   🔥 2000L:  34%|███▎      | 197/584 [00:02<00:03, 101.45frame/s]

   🔥 2000L:  36%|███▌      | 208/584 [00:02<00:03, 99.47frame/s] 

   🔥 2000L:  37%|███▋      | 218/584 [00:02<00:03, 97.70frame/s]

   🔥 2000L:  39%|███▉      | 228/584 [00:02<00:03, 96.33frame/s]

   🔥 2000L:  41%|████      | 238/584 [00:02<00:03, 95.38frame/s]

   🔥 2000L:  42%|████▏     | 248/584 [00:02<00:03, 93.29frame/s]

   🔥 2000L:  44%|████▍     | 258/584 [00:02<00:03, 91.43frame/s]

   🔥 2000L:  46%|████▌     | 268/584 [00:02<00:03, 91.35frame/s]

   🔥 2000L:  48%|████▊     | 278/584 [00:03<00:03, 91.08frame/s]

   🔥 2000L:  49%|████▉     | 288/584 [00:03<00:03, 91.61frame/s]

   🔥 2000L:  51%|█████     | 298/584 [00:03<00:03, 92.62frame/s]

   🔥 2000L:  53%|█████▎    | 308/584 [00:03<00:02, 93.77frame/s]

   🔥 2000L:  54%|█████▍    | 318/584 [00:03<00:02, 93.59frame/s]

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                                                                 [✅] 2000L: /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:24,  8.02s/rig]

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                                                                [✅] 1500: /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:18<00:18,  9.27s/rig]

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                                                                [✅] 1000: /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:25<00:08,  8.23s/rig]

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   🔥 2000R:  62%|██████▏   | 333/537 [00:03<00:02, 91.77frame/s]

   🔥 2000R:  64%|██████▍   | 343/537 [00:03<00:02, 92.90frame/s]

   🔥 2000R:  66%|██████▌   | 353/537 [00:03<00:01, 94.29frame/s]

   🔥 2000R:  68%|██████▊   | 363/537 [00:04<00:01, 94.98frame/s]

   🔥 2000R:  69%|██████▉   | 373/537 [00:04<00:01, 96.05frame/s]

   🔥 2000R:  72%|███████▏  | 384/537 [00:04<00:01, 99.37frame/s]

   🔥 2000R:  73%|███████▎  | 394/537 [00:04<00:01, 98.50frame/s]

   🔥 2000R:  75%|███████▌  | 404/537 [00:04<00:01, 96.10frame/s]

   🔥 2000R:  77%|███████▋  | 414/537 [00:04<00:01, 94.03frame/s]

   🔥 2000R:  79%|███████▉  | 424/537 [00:04<00:01, 91.64frame/s]

   🔥 2000R:  81%|████████  | 434/537 [00:04<00:01, 89.61frame/s]

   🔥 2000R:  82%|████████▏ | 443/537 [00:04<00:01, 88.21frame/s]

   🔥 2000R:  84%|████████▍ | 452/537 [00:05<00:00, 87.52frame/s]

   🔥 2000R:  86%|████████▌ | 461/537 [00:05<00:00, 85.89frame/s]

   🔥 2000R:  88%|████████▊ | 470/537 [00:05<00:00, 83.87frame/s]

   🔥 2000R:  89%|████████▉ | 479/537 [00:05<00:00, 82.32frame/s]

   🔥 2000R:  91%|█████████ | 488/537 [00:05<00:00, 80.83frame/s]

   🔥 2000R:  93%|█████████▎| 497/537 [00:05<00:00, 80.51frame/s]

   🔥 2000R:  94%|█████████▍| 506/537 [00:05<00:00, 79.50frame/s]

   🔥 2000R:  96%|█████████▌| 514/537 [00:05<00:00, 79.38frame/s]

   🔥 2000R:  97%|█████████▋| 522/537 [00:05<00:00, 78.92frame/s]

   🔥 2000R:  99%|█████████▊| 530/537 [00:06<00:00, 77.95frame/s]

                                                                 [✅] 2000R: /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:32<00:00,  8.03s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:32<00:00,  8.22s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC050_W019(6)_09-09-2026/calibration/debug/5_heatmap
[🏁] Finished processing MDC050_W019(6)_09-09-2026


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