2026-08-30T23:20:43 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC053_W051(6)_31-08-2026 ===
2026-08-30T23:20:43 - INFO: Camera ID: 6396150
2026-08-30T23:20:43 - INFO: Wand ID: 
2026-08-30T23:20:43 - INFO: Recorded At: 2026-08-30T19:34:20Z

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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 694 stationary frames, 699 remain


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→ 1500 (699 images) Phase 1:  60%|██████    | 421/699 [00:06<00:04, 60.81it/s]

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→ 1500 Phase 2: corners:  19%|█▉        | 135/699 [00:01<00:04, 119.00it/s]

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→ 1500 Phase 2: corners:  51%|█████     | 356/699 [00:02<00:02, 150.76it/s]

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→ 1500 Phase 2: corners:  56%|█████▌    | 388/699 [00:03<00:02, 145.25it/s]

→ 1500 Phase 2: corners:  58%|█████▊    | 406/699 [00:03<00:01, 154.05it/s]

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→ 1500 Phase 2: corners:  63%|██████▎   | 439/699 [00:03<00:01, 156.05it/s]

→ 1500 Phase 2: corners:  65%|██████▌   | 455/699 [00:03<00:01, 153.38it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 471/699 [00:03<00:01, 154.62it/s]

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→ 1500 Phase 2: corners:  72%|███████▏  | 503/699 [00:03<00:01, 150.16it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 519/699 [00:03<00:01, 147.73it/s]

→ 1500 Phase 2: corners:  76%|███████▋  | 534/699 [00:04<00:01, 147.53it/s]

→ 1500 Phase 2: corners:  79%|███████▊  | 549/699 [00:04<00:01, 148.05it/s]

→ 1500 Phase 2: corners:  81%|████████  | 565/699 [00:04<00:00, 150.53it/s]

→ 1500 Phase 2: corners:  84%|████████▍ | 586/699 [00:04<00:00, 167.77it/s]

→ 1500 Phase 2: corners:  86%|████████▋ | 603/699 [00:04<00:00, 167.77it/s]

→ 1500 Phase 2: corners:  89%|████████▊ | 620/699 [00:04<00:00, 163.84it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 637/699 [00:04<00:00, 160.14it/s]

→ 1500 Phase 2: corners:  94%|█████████▎| 654/699 [00:04<00:00, 149.17it/s]

→ 1500 Phase 2: corners:  96%|█████████▌| 670/699 [00:04<00:00, 151.42it/s]

→ 1500 Phase 2: corners: 100%|█████████▉| 698/699 [00:04<00:00, 186.50it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 0 untrusted, 699 total


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→ 1500 Phase 3: finalize:  53%|█████▎    | 370/699 [00:08<00:07, 45.89it/s]

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→ 1500 Phase 3: finalize:  58%|█████▊    | 405/699 [00:08<00:06, 46.59it/s]

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→ 1500 Phase 3: finalize:  64%|██████▎   | 445/699 [00:09<00:05, 46.05it/s]

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→ 1500 Phase 3: finalize:  65%|██████▌   | 455/699 [00:09<00:05, 45.73it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 460/699 [00:10<00:05, 45.70it/s]

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→ 1500 Phase 3: finalize:  72%|███████▏  | 505/699 [00:11<00:04, 44.90it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 510/699 [00:11<00:04, 44.90it/s]

→ 1500 Phase 3: finalize:  74%|███████▎  | 515/699 [00:11<00:04, 44.88it/s]

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→ 1500 Phase 3: finalize:  77%|███████▋  | 540/699 [00:11<00:03, 45.47it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 545/699 [00:11<00:03, 45.50it/s]

→ 1500 Phase 3: finalize:  79%|███████▊  | 550/699 [00:12<00:03, 45.56it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 555/699 [00:12<00:03, 45.65it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 560/699 [00:12<00:03, 45.89it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 565/699 [00:12<00:02, 46.08it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 570/699 [00:12<00:02, 46.29it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 575/699 [00:12<00:02, 46.39it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 580/699 [00:12<00:02, 46.50it/s]

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→ 1500 Phase 3: finalize:  85%|████████▌ | 595/699 [00:12<00:02, 46.56it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 600/699 [00:13<00:02, 46.55it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 605/699 [00:13<00:02, 46.61it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 610/699 [00:13<00:01, 46.66it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 615/699 [00:13<00:01, 46.65it/s]

→ 1500 Phase 3: finalize:  89%|████████▊ | 620/699 [00:13<00:01, 46.68it/s]

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→ 1500 Phase 3: finalize:  90%|█████████ | 630/699 [00:13<00:01, 46.35it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 635/699 [00:13<00:01, 46.11it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 640/699 [00:13<00:01, 46.00it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 645/699 [00:14<00:01, 45.83it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 650/699 [00:14<00:01, 45.80it/s]

→ 1500 Phase 3: finalize:  94%|█████████▎| 655/699 [00:14<00:00, 45.83it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 660/699 [00:14<00:00, 45.81it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 665/699 [00:14<00:00, 45.88it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 670/699 [00:14<00:00, 45.94it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 675/699 [00:14<00:00, 45.92it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 680/699 [00:14<00:00, 45.94it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 685/699 [00:14<00:00, 46.06it/s]

→ 1500 Phase 3: finalize:  99%|█████████▊| 690/699 [00:15<00:00, 46.11it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 695/699 [00:15<00:00, 46.17it/s]

                                                                           
[TIMING] 1500 — 699 frames
  Phase 1  radial detect   (parallel)  :  10.48s  (15.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   5.04s  (7.2 ms/frame)
  Phase 2b corner fix      (sequential):   0.14s
  Phase 3  finalize        (sequential):  15.24s  (21.8 ms/frame)
    decode + undistort                 :   9.00s  (12.9 ms/frame)
    corner apply + refinement          :   2.72s  (3.9 ms/frame)
    segment                            :   2.75s  (3.9 ms/frame)
    smooth                             :   0.53s  (0.8 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  30.90s


Processing Rigs:  25%|██▌       | 1/4 [00:39<01:57, 39.10s/it][INFO] Filtered 878 stationary frames, 1003 remain


→ 2000L (1003 images) Phase 1:   0%|          | 0/1003 [00:00<?, ?it/s]

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→ 2000L (1003 images) Phase 1:  27%|██▋       | 266/1003 [00:04<00:11, 63.46it/s]

→ 2000L (1003 images) Phase 1:  28%|██▊       | 281/1003 [00:04<00:09, 77.64it/s]

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→ 2000L (1003 images) Phase 1:  80%|████████  | 804/1003 [00:12<00:03, 64.98it/s]

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→ 2000L (1003 images) Phase 1:  85%|████████▍ | 850/1003 [00:12<00:01, 78.97it/s]

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→ 2000L (1003 images) Phase 1:  89%|████████▉ | 892/1003 [00:13<00:01, 69.78it/s]

→ 2000L (1003 images) Phase 1:  90%|████████▉ | 900/1003 [00:13<00:01, 65.23it/s]

→ 2000L (1003 images) Phase 1:  91%|█████████ | 914/1003 [00:13<00:01, 79.22it/s]

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→ 2000L (1003 images) Phase 1:  95%|█████████▌| 955/1003 [00:14<00:00, 81.72it/s]

→ 2000L (1003 images) Phase 1:  96%|█████████▌| 964/1003 [00:14<00:00, 63.93it/s]

→ 2000L (1003 images) Phase 1:  98%|█████████▊| 978/1003 [00:14<00:00, 80.13it/s]

→ 2000L (1003 images) Phase 1:  99%|█████████▊| 988/1003 [00:14<00:00, 83.60it/s]

→ 2000L (1003 images) Phase 1: 100%|█████████▉| 998/1003 [00:14<00:00, 79.77it/s]

                                                                                 

→ 2000L Phase 2: corners:   0%|          | 0/1003 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/1003 [00:00<05:18,  3.15it/s]

→ 2000L Phase 2: corners:   2%|▏         | 17/1003 [00:00<00:19, 49.97it/s]

→ 2000L Phase 2: corners:   3%|▎         | 27/1003 [00:00<00:15, 62.84it/s]

→ 2000L Phase 2: corners:   4%|▍         | 42/1003 [00:00<00:11, 85.18it/s]

→ 2000L Phase 2: corners:   6%|▌         | 56/1003 [00:00<00:09, 98.38it/s]

→ 2000L Phase 2: corners:   7%|▋         | 68/1003 [00:00<00:09, 102.04it/s]

→ 2000L Phase 2: corners:   8%|▊         | 82/1003 [00:00<00:08, 108.04it/s]

→ 2000L Phase 2: corners:   9%|▉         | 95/1003 [00:01<00:08, 112.59it/s]

→ 2000L Phase 2: corners:  11%|█         | 110/1003 [00:01<00:07, 121.09it/s]

→ 2000L Phase 2: corners:  12%|█▏        | 124/1003 [00:01<00:07, 125.56it/s]

→ 2000L Phase 2: corners:  14%|█▎        | 137/1003 [00:01<00:06, 126.46it/s]

→ 2000L Phase 2: corners:  15%|█▌        | 154/1003 [00:01<00:06, 137.64it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 168/1003 [00:01<00:06, 137.39it/s]

→ 2000L Phase 2: corners:  19%|█▊        | 186/1003 [00:01<00:05, 146.85it/s]

→ 2000L Phase 2: corners:  20%|██        | 204/1003 [00:01<00:05, 152.47it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 220/1003 [00:01<00:05, 153.78it/s]

→ 2000L Phase 2: corners:  24%|██▎       | 236/1003 [00:02<00:05, 143.98it/s]

→ 2000L Phase 2: corners:  25%|██▌       | 251/1003 [00:02<00:05, 131.12it/s]

→ 2000L Phase 2: corners:  27%|██▋       | 267/1003 [00:02<00:05, 138.46it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 282/1003 [00:02<00:05, 138.94it/s]

→ 2000L Phase 2: corners:  30%|██▉       | 297/1003 [00:02<00:05, 137.43it/s]

→ 2000L Phase 2: corners:  31%|███       | 311/1003 [00:02<00:05, 130.76it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 327/1003 [00:02<00:04, 135.23it/s]

→ 2000L Phase 2: corners:  34%|███▍      | 342/1003 [00:02<00:04, 136.77it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 358/1003 [00:02<00:04, 141.75it/s]

→ 2000L Phase 2: corners:  37%|███▋      | 373/1003 [00:03<00:04, 137.31it/s]

→ 2000L Phase 2: corners:  39%|███▉      | 389/1003 [00:03<00:04, 143.57it/s]

→ 2000L Phase 2: corners:  40%|████      | 404/1003 [00:03<00:04, 143.71it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 423/1003 [00:03<00:03, 150.58it/s]

→ 2000L Phase 2: corners:  44%|████▍     | 439/1003 [00:03<00:03, 153.18it/s]

→ 2000L Phase 2: corners:  45%|████▌     | 456/1003 [00:03<00:03, 156.58it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 473/1003 [00:03<00:03, 160.21it/s]

→ 2000L Phase 2: corners:  49%|████▉     | 490/1003 [00:03<00:03, 160.35it/s]

→ 2000L Phase 2: corners:  51%|█████     | 507/1003 [00:03<00:03, 151.31it/s]

→ 2000L Phase 2: corners:  52%|█████▏    | 523/1003 [00:04<00:03, 152.81it/s]

→ 2000L Phase 2: corners:  54%|█████▍    | 541/1003 [00:04<00:02, 158.60it/s]

→ 2000L Phase 2: corners:  56%|█████▌    | 557/1003 [00:04<00:02, 153.74it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 574/1003 [00:04<00:02, 156.23it/s]

→ 2000L Phase 2: corners:  59%|█████▉    | 590/1003 [00:04<00:02, 156.23it/s]

→ 2000L Phase 2: corners:  61%|██████    | 608/1003 [00:04<00:02, 161.69it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 625/1003 [00:04<00:02, 155.45it/s]

→ 2000L Phase 2: corners:  64%|██████▍   | 643/1003 [00:04<00:02, 158.69it/s]

→ 2000L Phase 2: corners:  66%|██████▌   | 659/1003 [00:04<00:02, 157.36it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 679/1003 [00:04<00:01, 166.52it/s]

→ 2000L Phase 2: corners:  69%|██████▉   | 696/1003 [00:05<00:01, 163.50it/s]

→ 2000L Phase 2: corners:  71%|███████   | 713/1003 [00:05<00:01, 156.71it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 729/1003 [00:05<00:01, 156.04it/s]

→ 2000L Phase 2: corners:  74%|███████▍  | 745/1003 [00:05<00:01, 146.48it/s]

→ 2000L Phase 2: corners:  76%|███████▌  | 764/1003 [00:05<00:01, 157.86it/s]

→ 2000L Phase 2: corners:  78%|███████▊  | 783/1003 [00:05<00:01, 165.98it/s]

→ 2000L Phase 2: corners:  80%|███████▉  | 800/1003 [00:05<00:01, 164.52it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 818/1003 [00:05<00:01, 168.35it/s]

→ 2000L Phase 2: corners:  83%|████████▎ | 835/1003 [00:05<00:01, 163.94it/s]

→ 2000L Phase 2: corners:  85%|████████▍ | 852/1003 [00:06<00:00, 160.78it/s]

→ 2000L Phase 2: corners:  87%|████████▋ | 871/1003 [00:06<00:00, 166.87it/s]

→ 2000L Phase 2: corners:  89%|████████▊ | 889/1003 [00:06<00:00, 169.77it/s]

→ 2000L Phase 2: corners:  91%|█████████ | 908/1003 [00:06<00:00, 171.69it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 926/1003 [00:06<00:00, 164.32it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 945/1003 [00:06<00:00, 167.61it/s]

→ 2000L Phase 2: corners:  96%|█████████▌| 962/1003 [00:06<00:00, 162.12it/s]

→ 2000L Phase 2: corners:  98%|█████████▊| 979/1003 [00:06<00:00, 163.33it/s]

→ 2000L Phase 2: corners:  99%|█████████▉| 996/1003 [00:06<00:00, 159.67it/s]

                                                                             [PASS2] Frame 0000833: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000834: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000835: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000836: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000835: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 2 untrusted, 1003 total


→ 2000L Phase 3: finalize:   0%|          | 0/1003 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   0%|          | 5/1003 [00:00<00:22, 45.13it/s]

→ 2000L Phase 3: finalize:   1%|          | 11/1003 [00:00<00:20, 48.39it/s]

→ 2000L Phase 3: finalize:   2%|▏         | 16/1003 [00:00<00:20, 48.81it/s]

→ 2000L Phase 3: finalize:   2%|▏         | 21/1003 [00:00<00:20, 48.50it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 27/1003 [00:00<00:19, 49.71it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 33/1003 [00:00<00:19, 50.55it/s]

→ 2000L Phase 3: finalize:   4%|▍         | 39/1003 [00:00<00:19, 50.70it/s]

→ 2000L Phase 3: finalize:   4%|▍         | 45/1003 [00:00<00:18, 50.98it/s]

→ 2000L Phase 3: finalize:   5%|▌         | 51/1003 [00:01<00:18, 51.03it/s]

→ 2000L Phase 3: finalize:   6%|▌         | 57/1003 [00:01<00:18, 51.17it/s]

→ 2000L Phase 3: finalize:   6%|▋         | 63/1003 [00:01<00:18, 51.10it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 69/1003 [00:01<00:18, 50.99it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 75/1003 [00:01<00:18, 51.09it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 81/1003 [00:01<00:18, 51.08it/s]

→ 2000L Phase 3: finalize:   9%|▊         | 87/1003 [00:01<00:17, 51.16it/s]

→ 2000L Phase 3: finalize:   9%|▉         | 93/1003 [00:01<00:17, 51.16it/s]

→ 2000L Phase 3: finalize:  10%|▉         | 99/1003 [00:01<00:17, 51.45it/s]

→ 2000L Phase 3: finalize:  10%|█         | 105/1003 [00:02<00:17, 51.54it/s]

→ 2000L Phase 3: finalize:  11%|█         | 111/1003 [00:02<00:17, 51.40it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 117/1003 [00:02<00:17, 51.42it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 123/1003 [00:02<00:17, 51.45it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 129/1003 [00:02<00:16, 51.51it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 135/1003 [00:02<00:16, 51.53it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 141/1003 [00:02<00:16, 51.63it/s]

→ 2000L Phase 3: finalize:  15%|█▍        | 147/1003 [00:02<00:16, 51.64it/s]

→ 2000L Phase 3: finalize:  15%|█▌        | 153/1003 [00:03<00:16, 51.71it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 159/1003 [00:03<00:16, 51.77it/s]

→ 2000L Phase 3: finalize:  16%|█▋        | 165/1003 [00:03<00:16, 51.61it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 171/1003 [00:03<00:16, 51.61it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 177/1003 [00:03<00:16, 51.51it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 183/1003 [00:03<00:15, 51.53it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 189/1003 [00:03<00:15, 51.48it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 195/1003 [00:03<00:15, 51.54it/s]

→ 2000L Phase 3: finalize:  20%|██        | 201/1003 [00:03<00:15, 51.31it/s]

→ 2000L Phase 3: finalize:  21%|██        | 207/1003 [00:04<00:15, 51.13it/s]

→ 2000L Phase 3: finalize:  21%|██        | 213/1003 [00:04<00:15, 50.95it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 219/1003 [00:04<00:15, 50.83it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 225/1003 [00:04<00:15, 50.99it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 231/1003 [00:04<00:15, 50.94it/s]

→ 2000L Phase 3: finalize:  24%|██▎       | 237/1003 [00:04<00:15, 51.05it/s]

→ 2000L Phase 3: finalize:  24%|██▍       | 243/1003 [00:04<00:14, 51.06it/s]

→ 2000L Phase 3: finalize:  25%|██▍       | 249/1003 [00:04<00:14, 51.24it/s]

→ 2000L Phase 3: finalize:  25%|██▌       | 255/1003 [00:04<00:14, 51.20it/s]

→ 2000L Phase 3: finalize:  26%|██▌       | 261/1003 [00:05<00:14, 51.31it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 267/1003 [00:05<00:14, 51.47it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 273/1003 [00:05<00:14, 51.49it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 279/1003 [00:05<00:13, 51.84it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 285/1003 [00:05<00:13, 52.02it/s]

→ 2000L Phase 3: finalize:  29%|██▉       | 291/1003 [00:05<00:13, 52.52it/s]

→ 2000L Phase 3: finalize:  30%|██▉       | 297/1003 [00:05<00:13, 52.82it/s]

→ 2000L Phase 3: finalize:  30%|███       | 303/1003 [00:05<00:13, 53.21it/s]

→ 2000L Phase 3: finalize:  31%|███       | 309/1003 [00:06<00:12, 53.47it/s]

→ 2000L Phase 3: finalize:  31%|███▏      | 315/1003 [00:06<00:12, 53.76it/s]

→ 2000L Phase 3: finalize:  32%|███▏      | 321/1003 [00:06<00:12, 54.03it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 327/1003 [00:06<00:12, 53.94it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 333/1003 [00:06<00:12, 54.10it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 339/1003 [00:06<00:12, 54.01it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 345/1003 [00:06<00:12, 54.09it/s]

→ 2000L Phase 3: finalize:  35%|███▍      | 351/1003 [00:06<00:12, 53.84it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 357/1003 [00:06<00:11, 53.87it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 363/1003 [00:07<00:11, 53.95it/s]

→ 2000L Phase 3: finalize:  37%|███▋      | 369/1003 [00:07<00:11, 53.85it/s]

→ 2000L Phase 3: finalize:  37%|███▋      | 375/1003 [00:07<00:11, 53.80it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 381/1003 [00:07<00:11, 53.66it/s]

→ 2000L Phase 3: finalize:  39%|███▊      | 387/1003 [00:07<00:11, 53.81it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 393/1003 [00:07<00:11, 53.81it/s]

→ 2000L Phase 3: finalize:  40%|███▉      | 399/1003 [00:07<00:11, 54.14it/s]

→ 2000L Phase 3: finalize:  40%|████      | 405/1003 [00:07<00:11, 54.22it/s]

→ 2000L Phase 3: finalize:  41%|████      | 411/1003 [00:07<00:10, 54.47it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 417/1003 [00:08<00:10, 54.72it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 423/1003 [00:08<00:10, 54.84it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 429/1003 [00:08<00:10, 55.00it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 435/1003 [00:08<00:10, 54.88it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 441/1003 [00:08<00:10, 54.98it/s]

→ 2000L Phase 3: finalize:  45%|████▍     | 447/1003 [00:08<00:10, 54.99it/s]

→ 2000L Phase 3: finalize:  45%|████▌     | 453/1003 [00:08<00:09, 55.13it/s]

→ 2000L Phase 3: finalize:  46%|████▌     | 459/1003 [00:08<00:09, 55.08it/s]

→ 2000L Phase 3: finalize:  46%|████▋     | 465/1003 [00:08<00:09, 55.02it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 471/1003 [00:08<00:09, 55.08it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 477/1003 [00:09<00:09, 55.02it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 483/1003 [00:09<00:09, 55.13it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 489/1003 [00:09<00:09, 54.80it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 495/1003 [00:09<00:09, 54.98it/s]

→ 2000L Phase 3: finalize:  50%|████▉     | 501/1003 [00:09<00:09, 54.97it/s]

→ 2000L Phase 3: finalize:  51%|█████     | 507/1003 [00:09<00:09, 55.08it/s]

→ 2000L Phase 3: finalize:  51%|█████     | 513/1003 [00:09<00:08, 54.69it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 519/1003 [00:09<00:08, 54.62it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 525/1003 [00:09<00:08, 54.67it/s]

→ 2000L Phase 3: finalize:  53%|█████▎    | 531/1003 [00:10<00:08, 54.64it/s]

→ 2000L Phase 3: finalize:  54%|█████▎    | 537/1003 [00:10<00:08, 54.52it/s]

→ 2000L Phase 3: finalize:  54%|█████▍    | 543/1003 [00:10<00:08, 54.31it/s]

→ 2000L Phase 3: finalize:  55%|█████▍    | 549/1003 [00:10<00:08, 54.47it/s]

→ 2000L Phase 3: finalize:  55%|█████▌    | 555/1003 [00:10<00:08, 54.49it/s]

→ 2000L Phase 3: finalize:  56%|█████▌    | 561/1003 [00:10<00:08, 54.54it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 567/1003 [00:10<00:07, 54.70it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 573/1003 [00:10<00:07, 54.69it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 579/1003 [00:10<00:07, 54.79it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 585/1003 [00:11<00:07, 54.73it/s]

→ 2000L Phase 3: finalize:  59%|█████▉    | 591/1003 [00:11<00:07, 54.78it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 597/1003 [00:11<00:07, 54.62it/s]

→ 2000L Phase 3: finalize:  60%|██████    | 603/1003 [00:11<00:07, 54.67it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 609/1003 [00:11<00:07, 54.50it/s]

→ 2000L Phase 3: finalize:  61%|██████▏   | 615/1003 [00:11<00:07, 54.32it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 621/1003 [00:11<00:07, 54.33it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 627/1003 [00:11<00:06, 54.18it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 633/1003 [00:11<00:06, 54.21it/s]

→ 2000L Phase 3: finalize:  64%|██████▎   | 639/1003 [00:12<00:06, 54.00it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 645/1003 [00:12<00:06, 53.90it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 651/1003 [00:12<00:06, 53.56it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 657/1003 [00:12<00:06, 53.43it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 663/1003 [00:12<00:06, 53.20it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 669/1003 [00:12<00:06, 53.02it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 675/1003 [00:12<00:06, 52.87it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 681/1003 [00:12<00:06, 52.74it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 687/1003 [00:12<00:05, 52.74it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 693/1003 [00:13<00:05, 52.24it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 699/1003 [00:13<00:05, 52.13it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 705/1003 [00:13<00:05, 51.91it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 711/1003 [00:13<00:05, 51.85it/s]

→ 2000L Phase 3: finalize:  71%|███████▏  | 717/1003 [00:13<00:05, 51.95it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 723/1003 [00:13<00:05, 50.15it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 729/1003 [00:13<00:05, 48.43it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 734/1003 [00:13<00:05, 47.41it/s]

→ 2000L Phase 3: finalize:  74%|███████▎  | 739/1003 [00:14<00:05, 46.64it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 744/1003 [00:14<00:05, 46.09it/s]

→ 2000L Phase 3: finalize:  75%|███████▍  | 749/1003 [00:14<00:05, 45.63it/s]

→ 2000L Phase 3: finalize:  75%|███████▌  | 754/1003 [00:14<00:05, 45.24it/s]

→ 2000L Phase 3: finalize:  76%|███████▌  | 759/1003 [00:14<00:05, 45.08it/s]

→ 2000L Phase 3: finalize:  76%|███████▌  | 764/1003 [00:14<00:05, 44.97it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 769/1003 [00:14<00:05, 44.90it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 774/1003 [00:14<00:05, 44.63it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 779/1003 [00:14<00:05, 44.22it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 784/1003 [00:15<00:04, 43.99it/s]

→ 2000L Phase 3: finalize:  79%|███████▊  | 789/1003 [00:15<00:04, 43.96it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 794/1003 [00:15<00:04, 43.96it/s]

→ 2000L Phase 3: finalize:  80%|███████▉  | 799/1003 [00:15<00:04, 44.30it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 804/1003 [00:15<00:04, 44.52it/s]

→ 2000L Phase 3: finalize:  81%|████████  | 809/1003 [00:15<00:04, 44.75it/s]

→ 2000L Phase 3: finalize:  81%|████████  | 814/1003 [00:15<00:04, 44.90it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 819/1003 [00:15<00:04, 44.92it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 824/1003 [00:15<00:03, 45.03it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 829/1003 [00:16<00:03, 45.11it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 834/1003 [00:16<00:03, 45.12it/s]

→ 2000L Phase 3: finalize:  84%|████████▎ | 839/1003 [00:16<00:03, 45.14it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 844/1003 [00:16<00:03, 45.14it/s]

→ 2000L Phase 3: finalize:  85%|████████▍ | 849/1003 [00:16<00:03, 45.15it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 854/1003 [00:16<00:03, 45.15it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 859/1003 [00:16<00:03, 45.24it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 864/1003 [00:16<00:03, 45.29it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 869/1003 [00:16<00:02, 45.12it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 874/1003 [00:17<00:02, 45.22it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 879/1003 [00:17<00:02, 45.27it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 884/1003 [00:17<00:02, 45.28it/s]

→ 2000L Phase 3: finalize:  89%|████████▊ | 889/1003 [00:17<00:02, 45.34it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 894/1003 [00:17<00:02, 45.12it/s]

→ 2000L Phase 3: finalize:  90%|████████▉ | 899/1003 [00:17<00:02, 45.02it/s]

→ 2000L Phase 3: finalize:  90%|█████████ | 904/1003 [00:17<00:02, 44.87it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 909/1003 [00:17<00:02, 44.87it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 914/1003 [00:17<00:01, 44.73it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 919/1003 [00:18<00:01, 44.71it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 924/1003 [00:18<00:01, 44.73it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 929/1003 [00:18<00:01, 44.51it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 934/1003 [00:18<00:01, 44.56it/s]

→ 2000L Phase 3: finalize:  94%|█████████▎| 939/1003 [00:18<00:01, 44.67it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 944/1003 [00:18<00:01, 44.75it/s]

→ 2000L Phase 3: finalize:  95%|█████████▍| 949/1003 [00:18<00:01, 44.83it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 954/1003 [00:18<00:01, 44.91it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 959/1003 [00:18<00:00, 45.05it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 964/1003 [00:19<00:00, 44.97it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 969/1003 [00:19<00:00, 45.17it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 974/1003 [00:19<00:00, 44.93it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 979/1003 [00:19<00:00, 45.00it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 984/1003 [00:19<00:00, 45.08it/s]

→ 2000L Phase 3: finalize:  99%|█████████▊| 989/1003 [00:19<00:00, 45.29it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 994/1003 [00:19<00:00, 45.42it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 999/1003 [00:19<00:00, 45.49it/s]

                                                                             
[TIMING] 2000L — 1003 frames
  Phase 1  radial detect   (parallel)  :  14.79s  (14.7 ms/frame)
  Phase 2a corner detect   (parallel)  :   7.06s  (7.0 ms/frame)
  Phase 2b corner fix      (sequential):   0.65s
  Phase 3  finalize        (sequential):  19.93s  (19.9 ms/frame)
    decode + undistort                 :  10.85s  (10.8 ms/frame)
    corner apply + refinement          :   4.15s  (4.1 ms/frame)
    segment                            :   3.96s  (3.9 ms/frame)
    smooth                             :   0.63s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  42.43s


Processing Rigs:  50%|█████     | 2/4 [01:32<01:34, 47.34s/it][INFO] Filtered 828 stationary frames, 827 remain


→ 2000R (827 images) Phase 1:   0%|          | 0/827 [00:00<?, ?it/s]

→ 2000R (827 images) Phase 1:   0%|          | 1/827 [00:01<16:22,  1.19s/it]

→ 2000R (827 images) Phase 1:   2%|▏         | 17/827 [00:01<00:45, 17.87it/s]

→ 2000R (827 images) Phase 1:   4%|▍         | 32/827 [00:01<00:22, 34.93it/s]

→ 2000R (827 images) Phase 1:   5%|▌         | 44/827 [00:01<00:21, 36.11it/s]

→ 2000R (827 images) Phase 1:   7%|▋         | 61/827 [00:01<00:13, 54.94it/s]

→ 2000R (827 images) Phase 1:   9%|▉         | 73/827 [00:02<00:18, 40.21it/s]

→ 2000R (827 images) Phase 1:  11%|█▏        | 95/827 [00:02<00:11, 63.07it/s]

→ 2000R (827 images) Phase 1:  13%|█▎        | 108/827 [00:02<00:13, 52.76it/s]

→ 2000R (827 images) Phase 1:  16%|█▌        | 129/827 [00:03<00:12, 57.42it/s]

→ 2000R (827 images) Phase 1:  17%|█▋        | 138/827 [00:03<00:11, 59.74it/s]

→ 2000R (827 images) Phase 1:  19%|█▉        | 161/827 [00:03<00:10, 64.10it/s]

→ 2000R (827 images) Phase 1:  20%|██        | 169/827 [00:03<00:10, 63.75it/s]

→ 2000R (827 images) Phase 1:  23%|██▎       | 191/827 [00:03<00:07, 88.59it/s]

→ 2000R (827 images) Phase 1:  25%|██▍       | 203/827 [00:04<00:09, 65.05it/s]

→ 2000R (827 images) Phase 1:  26%|██▋       | 219/827 [00:04<00:07, 79.58it/s]

→ 2000R (827 images) Phase 1:  28%|██▊       | 231/827 [00:04<00:09, 62.48it/s]

→ 2000R (827 images) Phase 1:  30%|██▉       | 246/827 [00:04<00:07, 75.79it/s]

→ 2000R (827 images) Phase 1:  31%|███       | 257/827 [00:04<00:08, 65.58it/s]

→ 2000R (827 images) Phase 1:  32%|███▏      | 266/827 [00:04<00:08, 66.28it/s]

→ 2000R (827 images) Phase 1:  34%|███▍      | 282/827 [00:05<00:06, 84.04it/s]

→ 2000R (827 images) Phase 1:  35%|███▌      | 293/827 [00:05<00:08, 61.98it/s]

→ 2000R (827 images) Phase 1:  37%|███▋      | 306/827 [00:05<00:07, 72.89it/s]

→ 2000R (827 images) Phase 1:  38%|███▊      | 316/827 [00:05<00:07, 70.04it/s]

→ 2000R (827 images) Phase 1:  39%|███▉      | 325/827 [00:05<00:07, 63.64it/s]

→ 2000R (827 images) Phase 1:  41%|████      | 339/827 [00:05<00:06, 78.48it/s]

→ 2000R (827 images) Phase 1:  42%|████▏     | 349/827 [00:06<00:06, 71.17it/s]

→ 2000R (827 images) Phase 1:  43%|████▎     | 358/827 [00:06<00:07, 66.45it/s]

→ 2000R (827 images) Phase 1:  45%|████▍     | 371/827 [00:06<00:05, 79.22it/s]

→ 2000R (827 images) Phase 1:  46%|████▌     | 380/827 [00:06<00:06, 69.54it/s]

→ 2000R (827 images) Phase 1:  47%|████▋     | 388/827 [00:06<00:06, 64.48it/s]

→ 2000R (827 images) Phase 1:  48%|████▊     | 401/827 [00:06<00:05, 78.45it/s]

→ 2000R (827 images) Phase 1:  50%|████▉     | 410/827 [00:06<00:06, 68.89it/s]

→ 2000R (827 images) Phase 1:  51%|█████     | 419/827 [00:07<00:05, 68.60it/s]

→ 2000R (827 images) Phase 1:  52%|█████▏    | 429/827 [00:07<00:05, 73.17it/s]

→ 2000R (827 images) Phase 1:  53%|█████▎    | 441/827 [00:07<00:05, 71.16it/s]

→ 2000R (827 images) Phase 1:  55%|█████▍    | 451/827 [00:07<00:05, 69.38it/s]

→ 2000R (827 images) Phase 1:  56%|█████▌    | 460/827 [00:07<00:04, 73.97it/s]

→ 2000R (827 images) Phase 1:  57%|█████▋    | 473/827 [00:07<00:04, 71.28it/s]

→ 2000R (827 images) Phase 1:  58%|█████▊    | 483/827 [00:08<00:04, 70.00it/s]

→ 2000R (827 images) Phase 1:  59%|█████▉    | 492/827 [00:08<00:04, 72.22it/s]

→ 2000R (827 images) Phase 1:  61%|██████    | 505/827 [00:08<00:04, 72.18it/s]

→ 2000R (827 images) Phase 1:  62%|██████▏   | 514/827 [00:08<00:04, 75.72it/s]

→ 2000R (827 images) Phase 1:  63%|██████▎   | 522/827 [00:08<00:04, 72.60it/s]

→ 2000R (827 images) Phase 1:  65%|██████▍   | 534/827 [00:08<00:03, 84.08it/s]

→ 2000R (827 images) Phase 1:  66%|██████▌   | 543/827 [00:08<00:04, 70.39it/s]

→ 2000R (827 images) Phase 1:  67%|██████▋   | 551/827 [00:08<00:04, 66.91it/s]

→ 2000R (827 images) Phase 1:  68%|██████▊   | 561/827 [00:09<00:03, 73.63it/s]

→ 2000R (827 images) Phase 1:  69%|██████▉   | 569/827 [00:09<00:03, 71.02it/s]

→ 2000R (827 images) Phase 1:  70%|██████▉   | 577/827 [00:09<00:03, 71.95it/s]

→ 2000R (827 images) Phase 1:  71%|███████   | 585/827 [00:09<00:03, 69.54it/s]

→ 2000R (827 images) Phase 1:  72%|███████▏  | 595/827 [00:09<00:03, 76.66it/s]

→ 2000R (827 images) Phase 1:  73%|███████▎  | 603/827 [00:09<00:03, 68.22it/s]

→ 2000R (827 images) Phase 1:  74%|███████▍  | 611/827 [00:09<00:03, 67.43it/s]

→ 2000R (827 images) Phase 1:  75%|███████▍  | 620/827 [00:09<00:02, 70.89it/s]

→ 2000R (827 images) Phase 1:  76%|███████▋  | 632/827 [00:10<00:02, 77.13it/s]

→ 2000R (827 images) Phase 1:  77%|███████▋  | 640/827 [00:10<00:02, 69.13it/s]

→ 2000R (827 images) Phase 1:  78%|███████▊  | 648/827 [00:10<00:02, 69.29it/s]

→ 2000R (827 images) Phase 1:  79%|███████▉  | 657/827 [00:10<00:02, 74.38it/s]

→ 2000R (827 images) Phase 1:  80%|████████  | 665/827 [00:10<00:02, 67.22it/s]

→ 2000R (827 images) Phase 1:  81%|████████▏ | 673/827 [00:10<00:02, 66.17it/s]

→ 2000R (827 images) Phase 1:  83%|████████▎ | 683/827 [00:10<00:01, 72.12it/s]

→ 2000R (827 images) Phase 1:  84%|████████▍ | 695/827 [00:10<00:01, 84.09it/s]

→ 2000R (827 images) Phase 1:  85%|████████▌ | 704/827 [00:11<00:01, 66.98it/s]

→ 2000R (827 images) Phase 1:  86%|████████▌ | 712/827 [00:11<00:01, 69.29it/s]

→ 2000R (827 images) Phase 1:  87%|████████▋ | 721/827 [00:11<00:01, 73.96it/s]

→ 2000R (827 images) Phase 1:  88%|████████▊ | 729/827 [00:11<00:01, 68.62it/s]

→ 2000R (827 images) Phase 1:  89%|████████▉ | 737/827 [00:11<00:01, 66.44it/s]

→ 2000R (827 images) Phase 1:  90%|█████████ | 748/827 [00:11<00:01, 74.87it/s]

→ 2000R (827 images) Phase 1:  92%|█████████▏| 757/827 [00:11<00:00, 78.04it/s]

→ 2000R (827 images) Phase 1:  93%|█████████▎| 766/827 [00:11<00:00, 67.31it/s]

→ 2000R (827 images) Phase 1:  94%|█████████▎| 775/827 [00:12<00:00, 72.21it/s]

→ 2000R (827 images) Phase 1:  95%|█████████▍| 783/827 [00:12<00:00, 72.84it/s]

→ 2000R (827 images) Phase 1:  96%|█████████▌| 792/827 [00:12<00:00, 76.70it/s]

→ 2000R (827 images) Phase 1:  97%|█████████▋| 800/827 [00:12<00:00, 65.99it/s]

→ 2000R (827 images) Phase 1:  98%|█████████▊| 812/827 [00:12<00:00, 78.88it/s]

→ 2000R (827 images) Phase 1: 100%|█████████▉| 825/827 [00:12<00:00, 91.99it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/827 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/827 [00:00<10:45,  1.28it/s]

→ 2000R Phase 2: corners:   2%|▏         | 16/827 [00:00<00:33, 24.23it/s]

→ 2000R Phase 2: corners:   4%|▎         | 29/827 [00:00<00:18, 42.67it/s]

→ 2000R Phase 2: corners:   5%|▍         | 40/827 [00:01<00:14, 55.68it/s]

→ 2000R Phase 2: corners:   7%|▋         | 54/827 [00:01<00:10, 74.25it/s]

→ 2000R Phase 2: corners:   8%|▊         | 67/827 [00:01<00:08, 87.44it/s]

→ 2000R Phase 2: corners:  10%|▉         | 80/827 [00:01<00:07, 95.42it/s]

→ 2000R Phase 2: corners:  11%|█▏        | 94/827 [00:01<00:06, 106.49it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 110/827 [00:01<00:05, 119.65it/s]

→ 2000R Phase 2: corners:  15%|█▌        | 125/827 [00:01<00:05, 125.95it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 141/827 [00:01<00:05, 134.93it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 157/827 [00:01<00:04, 140.69it/s]

→ 2000R Phase 2: corners:  21%|██        | 173/827 [00:02<00:04, 144.04it/s]

→ 2000R Phase 2: corners:  23%|██▎       | 191/827 [00:02<00:04, 150.89it/s]

→ 2000R Phase 2: corners:  25%|██▌       | 207/827 [00:02<00:04, 151.49it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 223/827 [00:02<00:04, 146.33it/s]

→ 2000R Phase 2: corners:  29%|██▉       | 240/827 [00:02<00:03, 152.00it/s]

→ 2000R Phase 2: corners:  31%|███       | 258/827 [00:02<00:03, 158.62it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 274/827 [00:02<00:03, 157.75it/s]

→ 2000R Phase 2: corners:  35%|███▌      | 291/827 [00:02<00:03, 161.17it/s]

→ 2000R Phase 2: corners:  37%|███▋      | 308/827 [00:02<00:03, 158.82it/s]

→ 2000R Phase 2: corners:  40%|███▉      | 327/827 [00:02<00:02, 167.74it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 344/827 [00:03<00:02, 163.47it/s]

→ 2000R Phase 2: corners:  44%|████▍     | 362/827 [00:03<00:02, 167.24it/s]

→ 2000R Phase 2: corners:  46%|████▌     | 381/827 [00:03<00:02, 171.98it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 399/827 [00:03<00:02, 162.55it/s]

→ 2000R Phase 2: corners:  50%|█████     | 417/827 [00:03<00:02, 166.07it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 435/827 [00:03<00:02, 165.98it/s]

→ 2000R Phase 2: corners:  55%|█████▍    | 454/827 [00:03<00:02, 171.11it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 472/827 [00:03<00:02, 170.06it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 490/827 [00:03<00:02, 167.76it/s]

→ 2000R Phase 2: corners:  61%|██████▏   | 507/827 [00:04<00:01, 164.76it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 524/827 [00:04<00:01, 159.90it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 544/827 [00:04<00:01, 169.75it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 562/827 [00:04<00:01, 172.51it/s]

→ 2000R Phase 2: corners:  70%|███████   | 580/827 [00:04<00:01, 166.26it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 599/827 [00:04<00:01, 169.98it/s]

→ 2000R Phase 2: corners:  75%|███████▍  | 617/827 [00:04<00:01, 169.83it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 635/827 [00:04<00:01, 171.93it/s]

→ 2000R Phase 2: corners:  79%|███████▉  | 653/827 [00:04<00:01, 159.64it/s]

→ 2000R Phase 2: corners:  81%|████████  | 671/827 [00:05<00:00, 162.87it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 688/827 [00:05<00:00, 157.17it/s]

→ 2000R Phase 2: corners:  85%|████████▌ | 704/827 [00:05<00:00, 155.69it/s]

→ 2000R Phase 2: corners:  88%|████████▊ | 724/827 [00:05<00:00, 164.16it/s]

→ 2000R Phase 2: corners:  90%|████████▉ | 741/827 [00:05<00:00, 160.40it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 759/827 [00:05<00:00, 163.41it/s]

→ 2000R Phase 2: corners:  94%|█████████▍| 777/827 [00:05<00:00, 167.73it/s]

→ 2000R Phase 2: corners:  96%|█████████▌| 794/827 [00:05<00:00, 163.98it/s]

→ 2000R Phase 2: corners:  98%|█████████▊| 812/827 [00:05<00:00, 166.07it/s]

                                                                            [PASS2] Frame 0000844: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000845: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000846: fixed corners {2, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000848: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000849: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000847: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000848: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000847: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 3 frames fixed, 3 untrusted, 827 total


→ 2000R Phase 3: finalize:   0%|          | 0/827 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   1%|          | 5/827 [00:00<00:18, 45.55it/s]

→ 2000R Phase 3: finalize:   1%|▏         | 11/827 [00:00<00:16, 49.04it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 17/827 [00:00<00:15, 50.98it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 23/827 [00:00<00:15, 51.32it/s]

→ 2000R Phase 3: finalize:   4%|▎         | 29/827 [00:00<00:15, 52.17it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 35/827 [00:00<00:15, 52.78it/s]

→ 2000R Phase 3: finalize:   5%|▍         | 41/827 [00:00<00:14, 53.04it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 47/827 [00:00<00:14, 53.13it/s]

→ 2000R Phase 3: finalize:   6%|▋         | 53/827 [00:01<00:14, 53.31it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 59/827 [00:01<00:14, 53.38it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 65/827 [00:01<00:14, 53.46it/s]

→ 2000R Phase 3: finalize:   9%|▊         | 71/827 [00:01<00:14, 53.42it/s]

→ 2000R Phase 3: finalize:   9%|▉         | 77/827 [00:01<00:14, 53.35it/s]

→ 2000R Phase 3: finalize:  10%|█         | 83/827 [00:01<00:13, 53.40it/s]

→ 2000R Phase 3: finalize:  11%|█         | 89/827 [00:01<00:13, 53.58it/s]

→ 2000R Phase 3: finalize:  11%|█▏        | 95/827 [00:01<00:13, 53.84it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 101/827 [00:01<00:13, 54.03it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 107/827 [00:02<00:13, 54.19it/s]

→ 2000R Phase 3: finalize:  14%|█▎        | 113/827 [00:02<00:13, 54.29it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 119/827 [00:02<00:13, 54.40it/s]

→ 2000R Phase 3: finalize:  15%|█▌        | 125/827 [00:02<00:12, 54.40it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 131/827 [00:02<00:12, 54.42it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 137/827 [00:02<00:12, 54.38it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 143/827 [00:02<00:12, 54.38it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 149/827 [00:02<00:12, 54.45it/s]

→ 2000R Phase 3: finalize:  19%|█▊        | 155/827 [00:02<00:12, 54.43it/s]

→ 2000R Phase 3: finalize:  19%|█▉        | 161/827 [00:03<00:12, 54.32it/s]

→ 2000R Phase 3: finalize:  20%|██        | 167/827 [00:03<00:12, 54.22it/s]

→ 2000R Phase 3: finalize:  21%|██        | 173/827 [00:03<00:12, 54.21it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 179/827 [00:03<00:12, 53.83it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 185/827 [00:03<00:11, 53.66it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 191/827 [00:03<00:11, 53.51it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 197/827 [00:03<00:11, 53.40it/s]

→ 2000R Phase 3: finalize:  25%|██▍       | 203/827 [00:03<00:11, 53.35it/s]

→ 2000R Phase 3: finalize:  25%|██▌       | 209/827 [00:03<00:11, 53.26it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 215/827 [00:04<00:11, 53.41it/s]

→ 2000R Phase 3: finalize:  27%|██▋       | 221/827 [00:04<00:11, 53.45it/s]

→ 2000R Phase 3: finalize:  27%|██▋       | 227/827 [00:04<00:11, 53.67it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 233/827 [00:04<00:11, 53.74it/s]

→ 2000R Phase 3: finalize:  29%|██▉       | 239/827 [00:04<00:10, 53.83it/s]

→ 2000R Phase 3: finalize:  30%|██▉       | 245/827 [00:04<00:10, 54.09it/s]

→ 2000R Phase 3: finalize:  30%|███       | 251/827 [00:04<00:10, 54.22it/s]

→ 2000R Phase 3: finalize:  31%|███       | 257/827 [00:04<00:10, 54.51it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 263/827 [00:04<00:10, 54.71it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 269/827 [00:05<00:10, 55.11it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 275/827 [00:05<00:09, 55.46it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 281/827 [00:05<00:09, 55.82it/s]

→ 2000R Phase 3: finalize:  35%|███▍      | 287/827 [00:05<00:09, 56.01it/s]

→ 2000R Phase 3: finalize:  35%|███▌      | 293/827 [00:05<00:09, 56.03it/s]

→ 2000R Phase 3: finalize:  36%|███▌      | 299/827 [00:05<00:09, 56.27it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 305/827 [00:05<00:09, 56.45it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 311/827 [00:05<00:09, 56.66it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 317/827 [00:05<00:09, 56.62it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 323/827 [00:05<00:08, 56.72it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 329/827 [00:06<00:08, 56.66it/s]

→ 2000R Phase 3: finalize:  41%|████      | 335/827 [00:06<00:08, 56.68it/s]

→ 2000R Phase 3: finalize:  41%|████      | 341/827 [00:06<00:08, 56.60it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 347/827 [00:06<00:08, 56.88it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 353/827 [00:06<00:08, 57.07it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 359/827 [00:06<00:08, 57.29it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 365/827 [00:06<00:08, 57.35it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 371/827 [00:06<00:07, 57.60it/s]

→ 2000R Phase 3: finalize:  46%|████▌     | 377/827 [00:06<00:07, 57.65it/s]

→ 2000R Phase 3: finalize:  46%|████▋     | 383/827 [00:07<00:07, 57.67it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 389/827 [00:07<00:07, 57.85it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 395/827 [00:07<00:07, 57.89it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 401/827 [00:07<00:07, 58.01it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 407/827 [00:07<00:07, 57.98it/s]

→ 2000R Phase 3: finalize:  50%|████▉     | 413/827 [00:07<00:07, 58.10it/s]

→ 2000R Phase 3: finalize:  51%|█████     | 419/827 [00:07<00:07, 58.00it/s]

→ 2000R Phase 3: finalize:  51%|█████▏    | 425/827 [00:07<00:06, 58.09it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 431/827 [00:07<00:06, 57.87it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 437/827 [00:07<00:06, 57.76it/s]

→ 2000R Phase 3: finalize:  54%|█████▎    | 443/827 [00:08<00:06, 57.49it/s]

→ 2000R Phase 3: finalize:  54%|█████▍    | 449/827 [00:08<00:06, 57.47it/s]

→ 2000R Phase 3: finalize:  55%|█████▌    | 455/827 [00:08<00:06, 57.61it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 461/827 [00:08<00:06, 57.59it/s]

→ 2000R Phase 3: finalize:  56%|█████▋    | 467/827 [00:08<00:06, 57.46it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 473/827 [00:08<00:06, 57.09it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 479/827 [00:08<00:06, 56.74it/s]

→ 2000R Phase 3: finalize:  59%|█████▊    | 485/827 [00:08<00:06, 56.45it/s]

→ 2000R Phase 3: finalize:  59%|█████▉    | 491/827 [00:08<00:05, 56.22it/s]

→ 2000R Phase 3: finalize:  60%|██████    | 497/827 [00:08<00:05, 56.32it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 503/827 [00:09<00:05, 56.37it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 509/827 [00:09<00:05, 56.40it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 515/827 [00:09<00:05, 56.41it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 521/827 [00:09<00:05, 56.43it/s]

→ 2000R Phase 3: finalize:  64%|██████▎   | 527/827 [00:09<00:05, 56.41it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 533/827 [00:09<00:05, 56.28it/s]

→ 2000R Phase 3: finalize:  65%|██████▌   | 539/827 [00:09<00:05, 56.30it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 545/827 [00:09<00:05, 56.12it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 551/827 [00:09<00:04, 55.93it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 557/827 [00:10<00:04, 55.44it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 563/827 [00:10<00:04, 55.14it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 569/827 [00:10<00:04, 54.89it/s]

→ 2000R Phase 3: finalize:  70%|██████▉   | 575/827 [00:10<00:04, 54.53it/s]

→ 2000R Phase 3: finalize:  70%|███████   | 581/827 [00:10<00:04, 54.25it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 587/827 [00:10<00:04, 53.80it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 593/827 [00:10<00:04, 53.61it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 599/827 [00:10<00:04, 53.32it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 605/827 [00:10<00:04, 53.74it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 611/827 [00:11<00:04, 53.02it/s]

→ 2000R Phase 3: finalize:  75%|███████▍  | 617/827 [00:11<00:04, 52.43it/s]

→ 2000R Phase 3: finalize:  75%|███████▌  | 623/827 [00:11<00:03, 52.23it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 629/827 [00:11<00:03, 52.13it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 635/827 [00:11<00:03, 52.11it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 641/827 [00:11<00:03, 51.97it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 647/827 [00:11<00:03, 52.18it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 653/827 [00:11<00:03, 52.28it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 659/827 [00:12<00:03, 52.50it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 665/827 [00:12<00:03, 52.58it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 671/827 [00:12<00:02, 52.79it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 677/827 [00:12<00:02, 53.10it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 683/827 [00:12<00:02, 53.53it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 689/827 [00:12<00:02, 53.88it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 695/827 [00:12<00:02, 54.05it/s]

→ 2000R Phase 3: finalize:  85%|████████▍ | 701/827 [00:12<00:02, 54.19it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 707/827 [00:12<00:02, 54.23it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 713/827 [00:13<00:02, 54.34it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 719/827 [00:13<00:01, 54.33it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 725/827 [00:13<00:02, 50.98it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 731/827 [00:13<00:01, 49.03it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 736/827 [00:13<00:01, 48.00it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 741/827 [00:13<00:01, 47.26it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 746/827 [00:13<00:01, 46.69it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 751/827 [00:13<00:01, 46.19it/s]

→ 2000R Phase 3: finalize:  91%|█████████▏| 756/827 [00:13<00:01, 45.71it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 761/827 [00:14<00:01, 45.38it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 766/827 [00:14<00:01, 45.16it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 771/827 [00:14<00:01, 45.04it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 776/827 [00:14<00:01, 43.51it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 781/827 [00:14<00:01, 43.45it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 786/827 [00:14<00:00, 43.55it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 791/827 [00:14<00:00, 43.91it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 796/827 [00:14<00:00, 44.23it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 801/827 [00:14<00:00, 44.56it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 806/827 [00:15<00:00, 44.76it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 811/827 [00:15<00:00, 44.76it/s]

→ 2000R Phase 3: finalize:  99%|█████████▊| 816/827 [00:15<00:00, 44.97it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 821/827 [00:15<00:00, 45.13it/s]

→ 2000R Phase 3: finalize: 100%|█████████▉| 826/827 [00:15<00:00, 45.29it/s]

                                                                            
[TIMING] 2000R — 827 frames
  Phase 1  radial detect   (parallel)  :  12.85s  (15.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.11s  (7.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.59s
  Phase 3  finalize        (sequential):  15.53s  (18.8 ms/frame)
    decode + undistort                 :   8.00s  (9.7 ms/frame)
    corner apply + refinement          :   3.43s  (4.1 ms/frame)
    segment                            :   3.26s  (3.9 ms/frame)
    smooth                             :   0.57s  (0.7 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  35.08s


Processing Rigs:  75%|███████▌  | 3/4 [02:16<00:45, 46.00s/it][INFO] Filtered 525 stationary frames, 543 remain


→ 1000 (543 images) Phase 1:   0%|          | 0/543 [00:00<?, ?it/s]

→ 1000 (543 images) Phase 1:   0%|          | 1/543 [00:01<11:21,  1.26s/it]

→ 1000 (543 images) Phase 1:   6%|▌         | 31/543 [00:01<00:16, 30.48it/s]

→ 1000 (543 images) Phase 1:   8%|▊         | 45/543 [00:01<00:15, 32.62it/s]

→ 1000 (543 images) Phase 1:  12%|█▏        | 65/543 [00:02<00:12, 39.24it/s]

→ 1000 (543 images) Phase 1:  17%|█▋        | 90/543 [00:02<00:07, 62.19it/s]

→ 1000 (543 images) Phase 1:  19%|█▉        | 104/543 [00:02<00:08, 52.27it/s]

→ 1000 (543 images) Phase 1:  24%|██▎       | 128/543 [00:02<00:05, 73.94it/s]

→ 1000 (543 images) Phase 1:  26%|██▌       | 142/543 [00:03<00:06, 60.83it/s]

→ 1000 (543 images) Phase 1:  30%|██▉       | 161/543 [00:03<00:07, 49.67it/s]

→ 1000 (543 images) Phase 1:  31%|███▏      | 170/543 [00:03<00:07, 52.72it/s]

→ 1000 (543 images) Phase 1:  36%|███▌      | 193/543 [00:04<00:05, 58.63it/s]

→ 1000 (543 images) Phase 1:  37%|███▋      | 201/543 [00:04<00:05, 60.60it/s]

→ 1000 (543 images) Phase 1:  41%|████▏     | 225/543 [00:04<00:04, 63.84it/s]

→ 1000 (543 images) Phase 1:  43%|████▎     | 234/543 [00:04<00:04, 67.26it/s]

→ 1000 (543 images) Phase 1:  47%|████▋     | 257/543 [00:04<00:04, 66.96it/s]

→ 1000 (543 images) Phase 1:  49%|████▉     | 265/543 [00:05<00:04, 68.75it/s]

→ 1000 (543 images) Phase 1:  53%|█████▎    | 289/543 [00:05<00:03, 69.34it/s]

→ 1000 (543 images) Phase 1:  55%|█████▍    | 297/543 [00:05<00:03, 70.44it/s]

→ 1000 (543 images) Phase 1:  59%|█████▉    | 321/543 [00:05<00:03, 70.15it/s]

→ 1000 (543 images) Phase 1:  61%|██████    | 329/543 [00:05<00:03, 70.75it/s]

→ 1000 (543 images) Phase 1:  65%|██████▌   | 353/543 [00:06<00:02, 70.77it/s]

→ 1000 (543 images) Phase 1:  66%|██████▋   | 361/543 [00:06<00:02, 70.60it/s]

→ 1000 (543 images) Phase 1:  71%|███████   | 385/543 [00:06<00:02, 71.22it/s]

→ 1000 (543 images) Phase 1:  72%|███████▏  | 393/543 [00:06<00:02, 70.66it/s]

→ 1000 (543 images) Phase 1:  77%|███████▋  | 417/543 [00:07<00:01, 71.73it/s]

→ 1000 (543 images) Phase 1:  78%|███████▊  | 425/543 [00:07<00:01, 69.50it/s]

→ 1000 (543 images) Phase 1:  83%|████████▎ | 449/543 [00:07<00:01, 71.90it/s]

→ 1000 (543 images) Phase 1:  84%|████████▍ | 457/543 [00:07<00:01, 70.05it/s]

→ 1000 (543 images) Phase 1:  89%|████████▊ | 481/543 [00:08<00:00, 72.83it/s]

→ 1000 (543 images) Phase 1:  90%|█████████ | 489/543 [00:08<00:00, 70.32it/s]

→ 1000 (543 images) Phase 1:  94%|█████████▍| 513/543 [00:08<00:00, 73.14it/s]

→ 1000 (543 images) Phase 1:  96%|█████████▌| 521/543 [00:08<00:00, 72.88it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/543 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/543 [00:00<07:34,  1.19it/s]

→ 1000 Phase 2: corners:   3%|▎         | 18/543 [00:00<00:21, 24.44it/s]

→ 1000 Phase 2: corners:   6%|▌         | 31/543 [00:01<00:12, 41.77it/s]

→ 1000 Phase 2: corners:   8%|▊         | 45/543 [00:01<00:08, 60.28it/s]

→ 1000 Phase 2: corners:  11%|█         | 59/543 [00:01<00:06, 77.21it/s]

→ 1000 Phase 2: corners:  13%|█▎        | 72/543 [00:01<00:06, 70.80it/s]

→ 1000 Phase 2: corners:  15%|█▌        | 84/543 [00:01<00:05, 80.65it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 100/543 [00:01<00:04, 96.88it/s]

→ 1000 Phase 2: corners:  22%|██▏       | 118/543 [00:01<00:03, 115.24it/s]

→ 1000 Phase 2: corners:  25%|██▍       | 135/543 [00:01<00:03, 125.71it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 150/543 [00:02<00:02, 131.85it/s]

→ 1000 Phase 2: corners:  30%|███       | 165/543 [00:02<00:02, 130.75it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 184/543 [00:02<00:02, 141.68it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 199/543 [00:02<00:02, 140.64it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 214/543 [00:02<00:02, 139.86it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 229/543 [00:02<00:02, 142.29it/s]

→ 1000 Phase 2: corners:  45%|████▌     | 246/543 [00:02<00:02, 148.41it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 262/543 [00:02<00:01, 147.09it/s]

→ 1000 Phase 2: corners:  51%|█████     | 278/543 [00:02<00:01, 149.60it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 294/543 [00:02<00:01, 148.66it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 309/543 [00:03<00:01, 144.80it/s]

→ 1000 Phase 2: corners:  60%|█████▉    | 324/543 [00:03<00:01, 142.82it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 339/543 [00:03<00:01, 137.58it/s]

→ 1000 Phase 2: corners:  65%|██████▌   | 355/543 [00:03<00:01, 140.43it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 370/543 [00:03<00:01, 129.82it/s]

→ 1000 Phase 2: corners:  71%|███████   | 384/543 [00:03<00:01, 131.55it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 398/543 [00:03<00:01, 124.45it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 413/543 [00:03<00:01, 129.38it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 431/543 [00:04<00:00, 141.81it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 451/543 [00:04<00:00, 156.64it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 472/543 [00:04<00:00, 170.64it/s]

→ 1000 Phase 2: corners:  90%|█████████ | 491/543 [00:04<00:00, 175.74it/s]

→ 1000 Phase 2: corners:  94%|█████████▍| 510/543 [00:04<00:00, 175.45it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 528/543 [00:04<00:00, 169.58it/s]

                                                                           [PASS2] Frame 0000461: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000468: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 0 untrusted, 543 total


→ 1000 Phase 3: finalize:   0%|          | 0/543 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   1%|          | 5/543 [00:00<00:11, 46.70it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 11/543 [00:00<00:10, 48.88it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 17/543 [00:00<00:10, 51.56it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 23/543 [00:00<00:09, 53.72it/s]

→ 1000 Phase 3: finalize:   5%|▌         | 29/543 [00:00<00:09, 54.29it/s]

→ 1000 Phase 3: finalize:   6%|▋         | 35/543 [00:00<00:09, 55.19it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 41/543 [00:00<00:08, 55.91it/s]

→ 1000 Phase 3: finalize:   9%|▊         | 47/543 [00:00<00:08, 56.62it/s]

→ 1000 Phase 3: finalize:  10%|▉         | 53/543 [00:00<00:08, 57.02it/s]

→ 1000 Phase 3: finalize:  11%|█         | 59/543 [00:01<00:08, 57.25it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 65/543 [00:01<00:08, 57.70it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 71/543 [00:01<00:08, 57.84it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 77/543 [00:01<00:08, 58.02it/s]

→ 1000 Phase 3: finalize:  15%|█▌        | 83/543 [00:01<00:07, 58.06it/s]

→ 1000 Phase 3: finalize:  16%|█▋        | 89/543 [00:01<00:07, 57.99it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 95/543 [00:01<00:07, 57.89it/s]

→ 1000 Phase 3: finalize:  19%|█▊        | 101/543 [00:01<00:07, 57.80it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 107/543 [00:01<00:07, 57.73it/s]

→ 1000 Phase 3: finalize:  21%|██        | 113/543 [00:02<00:07, 57.63it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 119/543 [00:02<00:07, 57.64it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 125/543 [00:02<00:07, 57.60it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 131/543 [00:02<00:07, 57.62it/s]

→ 1000 Phase 3: finalize:  25%|██▌       | 137/543 [00:02<00:07, 57.45it/s]

→ 1000 Phase 3: finalize:  26%|██▋       | 143/543 [00:02<00:07, 56.96it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 149/543 [00:02<00:06, 56.41it/s]

→ 1000 Phase 3: finalize:  29%|██▊       | 155/543 [00:02<00:06, 56.37it/s]

→ 1000 Phase 3: finalize:  30%|██▉       | 161/543 [00:02<00:06, 56.13it/s]

→ 1000 Phase 3: finalize:  31%|███       | 167/543 [00:02<00:06, 55.96it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 173/543 [00:03<00:06, 56.09it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 179/543 [00:03<00:06, 56.07it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 185/543 [00:03<00:06, 56.22it/s]

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→ 1000 Phase 3: finalize:  89%|████████▉ | 485/543 [00:08<00:00, 58.19it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 491/543 [00:08<00:00, 58.42it/s]

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→ 1000 Phase 3: finalize:  93%|█████████▎| 503/543 [00:08<00:00, 58.21it/s]

→ 1000 Phase 3: finalize:  94%|█████████▎| 509/543 [00:08<00:00, 58.04it/s]

→ 1000 Phase 3: finalize:  95%|█████████▍| 515/543 [00:09<00:00, 57.71it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 521/543 [00:09<00:00, 57.41it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 527/543 [00:09<00:00, 57.28it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 533/543 [00:09<00:00, 57.21it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 539/543 [00:09<00:00, 57.06it/s]

                                                                           
[TIMING] 1000 — 543 frames
  Phase 1  radial detect   (parallel)  :   8.93s  (16.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.80s  (8.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.23s
  Phase 3  finalize        (sequential):   9.59s  (17.7 ms/frame)
    decode + undistort                 :   4.99s  (9.2 ms/frame)
    corner apply + refinement          :   1.89s  (3.5 ms/frame)
    segment                            :   2.07s  (3.8 ms/frame)
    smooth                             :   0.46s  (0.8 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  23.56s


Processing Rigs: 100%|██████████| 4/4 [02:46<00:00, 39.49s/it]
Processing Rigs: 100%|██████████| 4/4 [02:46<00:00, 41.53s/it]
[💾] Saved RigFrameDataset to /working/MDC053_W051(6)_31-08-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 3072 frames from 4 rigs to /working/MDC053_W051(6)_31-08-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC053_W051(6)_31-08-2026/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 1500: 100 frames selected from 699
[📋] 2000L: 100 frames selected from 1003
[📋] 2000R: 100 frames selected from 827
[📋] 1000: 100 frames selected from 543
[💾] Saved RigFrameDataset to /working/MDC053_W051(6)_31-08-2026/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC053_W051(6)_31-08-2026/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 [00:04<06:06,  4.64s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:04<02:39,  2.05s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:30,  1.17s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:00,  1.25it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:05<00:32,  2.26it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:05<00:27,  2.67it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:05<00:21,  3.27it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:05<00:18,  3.82it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:15,  4.52it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:06<00:13,  5.24it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:06<00:11,  5.86it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:06<00:10,  6.17it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:06<00:10,  6.60it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:06<00:09,  6.50it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:07<00:09,  6.22it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:07<00:08,  6.91it/s]
Computing max image from bright frames:  28%|██▊       | 22/80 [00:07<00:07,  8.28it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:07<00:06,  8.73it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:08<00:06,  7.82it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:08<00:05,  8.68it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:08<00:06,  7.99it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:08<00:06,  7.75it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:10<00:19,  2.43it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:10<00:17,  2.57it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:11<00:16,  2.77it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:11<00:13,  3.22it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:11<00:11,  3.69it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:11<00:09,  4.39it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:11<00:08,  4.69it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:11<00:06,  6.22it/s]
Computing max image from bright frames:  52%|█████▎    | 42/80 [00:12<00:05,  6.38it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:12<00:04,  7.30it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:12<00:04,  7.56it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:12<00:04,  7.90it/s]
Computing max image from bright frames:  60%|██████    | 48/80 [00:12<00:04,  7.85it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:13<00:04,  6.45it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:13<00:04,  6.45it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:13<00:03,  8.48it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:13<00:03,  7.95it/s]
Computing max image from bright frames:  71%|███████▏  | 57/80 [00:13<00:02,  8.63it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:14<00:01, 11.34it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:14<00:01,  9.29it/s]
Computing max image from bright frames:  80%|████████  | 64/80 [00:14<00:01, 10.68it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:15<00:03,  4.26it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:15<00:02,  4.67it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:15<00:01,  6.82it/s]
Computing max image from bright frames:  91%|█████████▏| 73/80 [00:16<00:00,  9.12it/s]
Computing max image from bright frames:  94%|█████████▍| 75/80 [00:16<00:00,  9.66it/s]
Computing max image from bright frames:  96%|█████████▋| 77/80 [00:16<00:00, 10.70it/s]
Computing max image from bright frames:  99%|█████████▉| 79/80 [00:16<00:00, 11.93it/s]
                                                                                       
[✅] Casing detection complete: cx=1034.0, cy=760.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:27,  3.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:27,  3.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:27,  3.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:26,  3.56it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   7%|▋         | 7/100 [00:00<00:05, 16.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:05, 16.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 16.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:05, 16.00it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 363.636} (0.001):  10%|█         | 10/100 [00:00<00:04, 19.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:04, 19.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 19.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 19.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 19.45it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 23.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 23.95it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 23.95it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  17%|█▋        | 17/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:01<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  21%|██        | 21/100 [00:01<00:03, 24.91it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:01<00:03, 24.91it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  22%|██▏       | 22/100 [00:01<00:03, 24.91it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:03, 24.91it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  24%|██▍       | 24/100 [00:01<00:03, 24.92it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:03, 24.92it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  25%|██▌       | 25/100 [00:01<00:03, 24.92it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:02, 24.92it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  27%|██▋       | 27/100 [00:01<00:03, 22.96it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 490.909} (0.028):  27%|██▋       | 27/100 [00:01<00:03, 22.96it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.035 | Best: {'fx': 497.98} (0.035):  28%|██▊       | 28/100 [00:01<00:03, 22.96it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.043 | Best: {'fx': 505.051} (0.043):  29%|██▉       | 29/100 [00:01<00:03, 22.96it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 512.121} (0.052):  30%|███       | 30/100 [00:01<00:03, 22.96it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.052 | Best: {'fx': 512.121} (0.052):  31%|███       | 31/100 [00:01<00:02, 23.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.081 | Best: {'fx': 533.333} (0.081):  31%|███       | 31/100 [00:01<00:02, 23.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.075 | Best: {'fx': 533.333} (0.081):  32%|███▏      | 32/100 [00:01<00:02, 23.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.072 | Best: {'fx': 533.333} (0.081):  33%|███▎      | 33/100 [00:01<00:02, 23.88it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.072 | Best: {'fx': 533.333} (0.081):  34%|███▍      | 34/100 [00:01<00:04, 15.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.053 | Best: {'fx': 533.333} (0.081):  34%|███▍      | 34/100 [00:01<00:04, 15.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.061 | Best: {'fx': 533.333} (0.081):  35%|███▌      | 35/100 [00:01<00:04, 15.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.060 | Best: {'fx': 533.333} (0.081):  36%|███▌      | 36/100 [00:02<00:04, 15.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.060 | Best: {'fx': 533.333} (0.081):  37%|███▋      | 37/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.047 | Best: {'fx': 533.333} (0.081):  37%|███▋      | 37/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.043 | Best: {'fx': 533.333} (0.081):  38%|███▊      | 38/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.037 | Best: {'fx': 533.333} (0.081):  39%|███▉      | 39/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.039 | Best: {'fx': 533.333} (0.081):  40%|████      | 40/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.033 | Best: {'fx': 533.333} (0.081):  41%|████      | 41/100 [00:02<00:03, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.033 | Best: {'fx': 533.333} (0.081):  42%|████▏     | 42/100 [00:02<00:02, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.030 | Best: {'fx': 533.333} (0.081):  42%|████▏     | 42/100 [00:02<00:02, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.035 | Best: {'fx': 533.333} (0.081):  43%|████▎     | 43/100 [00:02<00:02, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 533.333} (0.081):  44%|████▍     | 44/100 [00:02<00:02, 21.04it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 533.333} (0.081):  45%|████▌     | 45/100 [00:02<00:02, 18.69it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.081):  45%|████▌     | 45/100 [00:02<00:02, 18.69it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 533.333} (0.081):  46%|████▌     | 46/100 [00:02<00:02, 18.69it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.031 | Best: {'fx': 533.333} (0.081):  47%|████▋     | 47/100 [00:02<00:02, 18.69it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.031 | Best: {'fx': 533.333} (0.081):  48%|████▊     | 48/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 533.333} (0.081):  48%|████▊     | 48/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 533.333} (0.081):  49%|████▉     | 49/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.029 | Best: {'fx': 533.333} (0.081):  50%|█████     | 50/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.081):  51%|█████     | 51/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.081):  52%|█████▏    | 52/100 [00:02<00:02, 20.34it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.081):  53%|█████▎    | 53/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  53%|█████▎    | 53/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.081):  54%|█████▍    | 54/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  55%|█████▌    | 55/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 533.333} (0.081):  56%|█████▌    | 56/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 533.333} (0.081):  57%|█████▋    | 57/100 [00:02<00:02, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.081):  58%|█████▊    | 58/100 [00:02<00:01, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.081):  59%|█████▉    | 59/100 [00:02<00:01, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  60%|██████    | 60/100 [00:02<00:01, 21.02it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  61%|██████    | 61/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 533.333} (0.081):  61%|██████    | 61/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  62%|██████▏   | 62/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.081):  63%|██████▎   | 63/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  64%|██████▍   | 64/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  65%|██████▌   | 65/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  66%|██████▌   | 66/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 533.333} (0.081):  67%|██████▋   | 67/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.081):  68%|██████▊   | 68/100 [00:02<00:01, 29.35it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.081):  69%|██████▉   | 69/100 [00:02<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 533.333} (0.081):  69%|██████▉   | 69/100 [00:02<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  70%|███████   | 70/100 [00:03<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  71%|███████   | 71/100 [00:03<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  72%|███████▏  | 72/100 [00:03<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  73%|███████▎  | 73/100 [00:03<00:00, 39.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  74%|███████▍  | 74/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  74%|███████▍  | 74/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  75%|███████▌  | 75/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  76%|███████▌  | 76/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 533.333} (0.081):  77%|███████▋  | 77/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  78%|███████▊  | 78/100 [00:03<00:00, 41.27it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  79%|███████▉  | 79/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  79%|███████▉  | 79/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  80%|████████  | 80/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  81%|████████  | 81/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  82%|████████▏ | 82/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  83%|████████▎ | 83/100 [00:03<00:00, 42.25it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  84%|████████▍ | 84/100 [00:03<00:00, 34.32it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  84%|████████▍ | 84/100 [00:03<00:00, 34.32it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  85%|████████▌ | 85/100 [00:03<00:00, 34.32it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  86%|████████▌ | 86/100 [00:03<00:00, 34.32it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  87%|████████▋ | 87/100 [00:03<00:00, 34.32it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  88%|████████▊ | 88/100 [00:03<00:00, 30.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  88%|████████▊ | 88/100 [00:03<00:00, 30.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  89%|████████▉ | 89/100 [00:03<00:00, 30.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  90%|█████████ | 90/100 [00:03<00:00, 30.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  91%|█████████ | 91/100 [00:03<00:00, 30.94it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 533.333} (0.081):  92%|█████████▏| 92/100 [00:03<00:00, 31.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  92%|█████████▏| 92/100 [00:03<00:00, 31.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  93%|█████████▎| 93/100 [00:03<00:00, 31.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  94%|█████████▍| 94/100 [00:03<00:00, 31.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  95%|█████████▌| 95/100 [00:03<00:00, 31.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  96%|█████████▌| 96/100 [00:03<00:00, 25.47it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  96%|█████████▌| 96/100 [00:03<00:00, 25.47it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  97%|█████████▋| 97/100 [00:03<00:00, 25.47it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  98%|█████████▊| 98/100 [00:03<00:00, 25.47it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081):  99%|█████████▉| 99/100 [00:03<00:00, 25.47it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 533.333} (0.081): 100%|██████████| 100/100 [00:03<00:00, 28.12it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.047 | Best: {'fx': 508.333} (0.047):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.047 | Best: {'fx': 508.333} (0.047):   2%|▏         | 1/50 [00:00<00:29,  1.66it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.049 | Best: {'fx': 509.354} (0.049):   2%|▏         | 1/50 [00:00<00:29,  1.66it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.050 | Best: {'fx': 510.374} (0.050):   4%|▍         | 2/50 [00:00<00:28,  1.66it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.051 | Best: {'fx': 511.395} (0.051):   6%|▌         | 3/50 [00:00<00:28,  1.66it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.051 | Best: {'fx': 511.395} (0.051):   8%|▊         | 4/50 [00:00<00:07,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.054 | Best: {'fx': 513.435} (0.054):   8%|▊         | 4/50 [00:00<00:07,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.052 | Best: {'fx': 513.435} (0.054):  10%|█         | 5/50 [00:00<00:07,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.056 | Best: {'fx': 514.456} (0.056):  12%|█▏        | 6/50 [00:00<00:07,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.057 | Best: {'fx': 515.476} (0.057):  14%|█▍        | 7/50 [00:00<00:06,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.058 | Best: {'fx': 516.497} (0.058):  16%|█▌        | 8/50 [00:00<00:06,  6.15it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.058 | Best: {'fx': 516.497} (0.058):  18%|█▊        | 9/50 [00:00<00:03, 12.99it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.061 | Best: {'fx': 518.537} (0.061):  18%|█▊        | 9/50 [00:01<00:03, 12.99it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 518.537} (0.061):  20%|██        | 10/50 [00:01<00:03, 12.99it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 518.537} (0.061):  22%|██▏       | 11/50 [00:01<00:02, 13.14it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.061 | Best: {'fx': 519.558} (0.061):  22%|██▏       | 11/50 [00:01<00:02, 13.14it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.063 | Best: {'fx': 520.578} (0.063):  24%|██▍       | 12/50 [00:01<00:02, 13.14it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.067 | Best: {'fx': 522.619} (0.067):  26%|██▌       | 13/50 [00:01<00:02, 13.14it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.067 | Best: {'fx': 522.619} (0.067):  28%|██▊       | 14/50 [00:01<00:02, 16.53it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.065 | Best: {'fx': 522.619} (0.067):  28%|██▊       | 14/50 [00:01<00:02, 16.53it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.074 | Best: {'fx': 525.68} (0.074):  30%|███       | 15/50 [00:01<00:02, 16.53it/s] 
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.071 | Best: {'fx': 525.68} (0.074):  32%|███▏      | 16/50 [00:01<00:02, 16.53it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.071 | Best: {'fx': 525.68} (0.074):  34%|███▍      | 17/50 [00:01<00:01, 18.04it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.068 | Best: {'fx': 525.68} (0.074):  34%|███▍      | 17/50 [00:01<00:01, 18.04it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.075 | Best: {'fx': 526.701} (0.075):  36%|███▌      | 18/50 [00:01<00:01, 18.04it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.081 | Best: {'fx': 529.762} (0.081):  38%|███▊      | 19/50 [00:01<00:01, 18.04it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.081 | Best: {'fx': 529.762} (0.081):  40%|████      | 20/50 [00:01<00:01, 16.87it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.078 | Best: {'fx': 529.762} (0.081):  40%|████      | 20/50 [00:01<00:01, 16.87it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.079 | Best: {'fx': 529.762} (0.081):  42%|████▏     | 21/50 [00:01<00:01, 16.87it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.081 | Best: {'fx': 530.782} (0.081):  44%|████▍     | 22/50 [00:01<00:01, 16.87it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.083 | Best: {'fx': 531.803} (0.083):  46%|████▌     | 23/50 [00:01<00:01, 16.87it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.083 | Best: {'fx': 531.803} (0.083):  48%|████▊     | 24/50 [00:01<00:01, 19.26it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.073 | Best: {'fx': 531.803} (0.083):  48%|████▊     | 24/50 [00:01<00:01, 19.26it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.082 | Best: {'fx': 531.803} (0.083):  50%|█████     | 25/50 [00:01<00:01, 19.26it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.070 | Best: {'fx': 531.803} (0.083):  52%|█████▏    | 26/50 [00:01<00:01, 19.26it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.070 | Best: {'fx': 531.803} (0.083):  54%|█████▍    | 27/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.083 | Best: {'fx': 531.803} (0.083):  54%|█████▍    | 27/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.079 | Best: {'fx': 531.803} (0.083):  56%|█████▌    | 28/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.066 | Best: {'fx': 531.803} (0.083):  58%|█████▊    | 29/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.079 | Best: {'fx': 531.803} (0.083):  60%|██████    | 30/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.077 | Best: {'fx': 531.803} (0.083):  62%|██████▏   | 31/50 [00:01<00:00, 19.62it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.077 | Best: {'fx': 531.803} (0.083):  64%|██████▍   | 32/50 [00:01<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.068 | Best: {'fx': 531.803} (0.083):  64%|██████▍   | 32/50 [00:01<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.065 | Best: {'fx': 531.803} (0.083):  66%|██████▌   | 33/50 [00:01<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.064 | Best: {'fx': 531.803} (0.083):  68%|██████▊   | 34/50 [00:01<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.075 | Best: {'fx': 531.803} (0.083):  70%|███████   | 35/50 [00:01<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.062 | Best: {'fx': 531.803} (0.083):  72%|███████▏  | 36/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.058 | Best: {'fx': 531.803} (0.083):  74%|███████▍  | 37/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.078 | Best: {'fx': 531.803} (0.083):  76%|███████▌  | 38/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 531.803} (0.083):  78%|███████▊  | 39/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 531.803} (0.083):  80%|████████  | 40/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 531.803} (0.083):  82%|████████▏ | 41/50 [00:02<00:00, 25.37it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.060 | Best: {'fx': 531.803} (0.083):  84%|████████▍ | 42/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.056 | Best: {'fx': 531.803} (0.083):  84%|████████▍ | 42/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.055 | Best: {'fx': 531.803} (0.083):  86%|████████▌ | 43/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.052 | Best: {'fx': 531.803} (0.083):  88%|████████▊ | 44/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.054 | Best: {'fx': 531.803} (0.083):  90%|█████████ | 45/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.054 | Best: {'fx': 531.803} (0.083):  92%|█████████▏| 46/50 [00:02<00:00, 41.30it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.054 | Best: {'fx': 531.803} (0.083):  94%|█████████▍| 47/50 [00:02<00:00, 38.21it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.051 | Best: {'fx': 531.803} (0.083):  94%|█████████▍| 47/50 [00:02<00:00, 38.21it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.049 | Best: {'fx': 531.803} (0.083):  96%|█████████▌| 48/50 [00:02<00:00, 38.21it/s]
Brute | Start: {'fx': 533.333} (0.081) | Current: 0.052 | Best: {'fx': 531.803} (0.083):  98%|█████████▊| 49/50 [00:02<00:00, 38.21it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 531.8027210884354
    px: 1034.0
    py: 760.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 33.3729: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 33.3729, picklable_objective(x0) = 33.3896

Best score: 33.3896: : 0iter [00:02, ?iter/s] 
Best score: 33.3896: : 1iter [00:02,  2.00s/iter]
Best score: 33.3896: : 1iter [00:02,  2.00s/iter]
Best score: 33.3896: : 2iter [00:02,  2.00s/iter]
Best score: 33.3896: : 3iter [00:02,  1.71iter/s]
Best score: 33.3896: : 3iter [00:02,  1.71iter/s]
Best score: 33.3896: : 4iter [00:02,  1.71iter/s]
Best score: 33.3896: : 5iter [00:02,  3.04iter/s]
Best score: 33.3896: : 5iter [00:02,  3.04iter/s]
Best score: 33.3896: : 6iter [00:02,  3.04iter/s]
Best score: 33.3896: : 7iter [00:02,  4.42iter/s]
Best score: 33.3896: : 7iter [00:02,  4.42iter/s]
Best score: 33.3896: : 8iter [00:02,  4.42iter/s]
Best score: 33.3896: : 9iter [00:02,  5.75iter/s]
Best score: 33.3896: : 9iter [00:02,  5.75iter/s]
Best score: 33.3896: : 10iter [00:02,  5.75iter/s]
Best score: 33.3896: : 11iter [00:02,  6.90iter/s]
Best score: 33.3896: : 11iter [00:02,  6.90iter/s]
Best score: 33.3896: : 12iter [00:03,  6.90iter/s]
Best score: 33.3896: : 13iter [00:03,  7.96iter/s]
Best score: 33.3896: : 13iter [00:03,  7.96iter/s]
Best score: 33.3896: : 14iter [00:03,  7.96iter/s]
Best score: 33.3896: : 15iter [00:03,  8.86iter/s]
Best score: 33.3896: : 15iter [00:03,  8.86iter/s]
Best score: 33.3896: : 16iter [00:03,  8.86iter/s]
Best score: 33.3896: : 17iter [00:03,  9.58iter/s]
Best score: 33.3896: : 17iter [00:03,  9.58iter/s]
Best score: 33.3896: : 18iter [00:03,  9.58iter/s]
Best score: 33.3896: : 19iter [00:03, 10.13iter/s]
Best score: 33.3896: : 19iter [00:03, 10.13iter/s]
Best score: 33.3896: : 20iter [00:03, 10.13iter/s]
Best score: 33.3896: : 21iter [00:03, 10.36iter/s]
Best score: 33.3896: : 21iter [00:03, 10.36iter/s]
Best score: 33.3896: : 22iter [00:03, 10.36iter/s]
Best score: 33.3896: : 23iter [00:03, 10.69iter/s]
Best score: 33.3896: : 23iter [00:04, 10.69iter/s]
Best score: 33.3896: : 24iter [00:04, 10.69iter/s]
Best score: 33.3896: : 25iter [00:04, 10.93iter/s]
Best score: 33.3896: : 25iter [00:04, 10.93iter/s]
Best score: 33.3896: : 26iter [00:04, 10.93iter/s]
Best score: 33.3896: : 27iter [00:04, 11.08iter/s]
Best score: 33.3896: : 27iter [00:04, 11.08iter/s]
Best score: 33.3896: : 28iter [00:04, 11.08iter/s]
Best score: 33.3896: : 29iter [00:04, 11.22iter/s]
Best score: 33.3896: : 29iter [00:04, 11.22iter/s]
Best score: 33.3896: : 30iter [00:04, 11.22iter/s]
Best score: 33.3896: : 31iter [00:04, 11.13iter/s]
Best score: 33.3896: : 31iter [00:04, 11.13iter/s]
Best score: 33.3896: : 32iter [00:04, 11.13iter/s]
Best score: 33.3896: : 33iter [00:04, 11.21iter/s]
Best score: 33.3896: : 33iter [00:04, 11.21iter/s]
Best score: 33.3896: : 34iter [00:04, 11.21iter/s]
Best score: 33.3896: : 35iter [00:04, 11.30iter/s]
Best score: 33.3896: : 35iter [00:05, 11.30iter/s]
Best score: 33.3896: : 36iter [00:05, 11.30iter/s]
Best score: 33.3896: : 37iter [00:05, 11.35iter/s]
Best score: 33.3896: : 37iter [00:05, 11.35iter/s]
Best score: 33.3896: : 38iter [00:05, 11.35iter/s]
Best score: 33.3896: : 39iter [00:05, 11.42iter/s]
Best score: 33.3896: : 39iter [00:05, 11.42iter/s]
Best score: 33.3896: : 40iter [00:05, 11.42iter/s]
Best score: 33.3896: : 41iter [00:05, 11.30iter/s]
Best score: 33.3896: : 41iter [00:05, 11.30iter/s]
Best score: 33.3896: : 42iter [00:05, 11.30iter/s]
Best score: 33.3896: : 43iter [00:05, 11.31iter/s]
Best score: 33.3896: : 43iter [00:05, 11.31iter/s]
Best score: 33.3896: : 44iter [00:05, 11.31iter/s]
Best score: 33.3896: : 45iter [00:05, 11.40iter/s]
Best score: 33.3896: : 45iter [00:05, 11.40iter/s]
Best score: 33.3896: : 46iter [00:06, 11.40iter/s]
Best score: 33.3896: : 47iter [00:06, 11.43iter/s]
Best score: 33.3896: : 47iter [00:06, 11.43iter/s]
Best score: 33.3896: : 48iter [00:06, 11.43iter/s]
Best score: 33.3896: : 49iter [00:06, 11.46iter/s]
[ITER 50] Best: 33.3896
[PARAMS] Current best parameters:
  fx: 531.8027
  fy: 531.8027
  px: 1034.0000
  py: 760.0000
  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: 33.3896: : 49iter [00:06, 11.46iter/s]
Best score: 33.3896: : 50iter [00:06, 11.46iter/s]
Best score: 33.3896: : 51iter [00:06, 11.36iter/s]
Best score: 33.3896: : 51iter [00:06, 11.36iter/s]
Best score: 33.3896: : 52iter [00:06, 11.36iter/s]
Best score: 33.3896: : 53iter [00:06, 11.44iter/s]
Best score: 33.3896: : 53iter [00:06, 11.44iter/s]
Best score: 33.3896: : 54iter [00:06, 11.44iter/s]
Best score: 33.3896: : 55iter [00:06, 11.44iter/s]
Best score: 33.3896: : 55iter [00:06, 11.44iter/s]
Best score: 33.3896: : 56iter [00:06, 11.44iter/s]
Best score: 33.3896: : 57iter [00:06, 11.48iter/s]
Best score: 33.3896: : 57iter [00:06, 11.48iter/s]
Best score: 33.3896: : 58iter [00:07, 11.48iter/s]
Best score: 33.3896: : 59iter [00:07, 11.50iter/s]
Best score: 31.2235: : 59iter [00:07, 11.50iter/s]
Best score: 31.2235: : 60iter [00:07, 11.50iter/s]
Best score: 31.2235: : 61iter [00:07, 11.37iter/s]
Best score: 31.2235: : 61iter [00:07, 11.37iter/s]
Best score: 31.2235: : 62iter [00:07, 11.37iter/s]
Best score: 31.2235: : 63iter [00:07, 11.47iter/s]
Best score: 31.2235: : 63iter [00:07, 11.47iter/s]
Best score: 31.2235: : 64iter [00:07, 11.47iter/s]
Best score: 31.2235: : 65iter [00:07, 11.57iter/s]
Best score: 31.2235: : 65iter [00:07, 11.57iter/s]
Best score: 31.2235: : 66iter [00:07, 11.57iter/s]
Best score: 31.2235: : 67iter [00:07, 11.60iter/s]
Best score: 31.2235: : 67iter [00:07, 11.60iter/s]
Best score: 31.2235: : 68iter [00:07, 11.60iter/s]
Best score: 31.2235: : 69iter [00:07, 11.65iter/s]
Best score: 15.1517: : 69iter [00:08, 11.65iter/s]
Best score: 15.1517: : 70iter [00:08, 11.65iter/s]
Best score: 15.1517: : 71iter [00:08, 11.53iter/s]
Best score: 15.1517: : 71iter [00:08, 11.53iter/s]
Best score: 15.1517: : 72iter [00:08, 11.53iter/s]
Best score: 15.1517: : 73iter [00:08, 11.62iter/s]
Best score: 15.1517: : 73iter [00:08, 11.62iter/s]
Best score: 15.1517: : 74iter [00:08, 11.62iter/s]
Best score: 15.1517: : 75iter [00:08, 11.69iter/s]
Best score: 15.1517: : 75iter [00:08, 11.69iter/s]
Best score: 15.1517: : 76iter [00:08, 11.69iter/s]
Best score: 15.1517: : 77iter [00:08, 11.71iter/s]
Best score: 15.1517: : 77iter [00:08, 11.71iter/s]
Best score: 15.1517: : 78iter [00:08, 11.71iter/s]
Best score: 15.1517: : 79iter [00:08, 11.75iter/s]
Best score: 10.3090: : 79iter [00:08, 11.75iter/s]
Best score: 10.3090: : 80iter [00:08, 11.75iter/s]
Best score: 10.3090: : 81iter [00:08, 11.59iter/s]
Best score: 10.3090: : 81iter [00:09, 11.59iter/s]
Best score: 10.3090: : 82iter [00:09, 11.59iter/s]
Best score: 10.3090: : 83iter [00:09, 11.70iter/s]
Best score: 10.3090: : 83iter [00:09, 11.70iter/s]
Best score: 10.3090: : 84iter [00:09, 11.70iter/s]
Best score: 10.3090: : 85iter [00:09, 11.75iter/s]
Best score: 10.3090: : 85iter [00:09, 11.75iter/s]
Best score: 10.3090: : 86iter [00:09, 11.75iter/s]
Best score: 10.3090: : 87iter [00:09, 11.77iter/s]
Best score: 10.3090: : 87iter [00:09, 11.77iter/s]
Best score: 10.3090: : 88iter [00:09, 11.77iter/s]
Best score: 10.3090: : 89iter [00:09, 11.76iter/s]
Best score: 10.3003: : 89iter [00:09, 11.76iter/s]
Best score: 10.3003: : 90iter [00:09, 11.76iter/s]
Best score: 10.3003: : 91iter [00:09, 11.58iter/s]
Best score: 10.3003: : 91iter [00:09, 11.58iter/s]
Best score: 10.3003: : 92iter [00:09, 11.58iter/s]
Best score: 10.3003: : 93iter [00:09, 11.66iter/s]
Best score: 10.3003: : 93iter [00:10, 11.66iter/s]
Best score: 10.3003: : 94iter [00:10, 11.66iter/s]
Best score: 10.3003: : 95iter [00:10, 11.69iter/s]
Best score: 10.3003: : 95iter [00:10, 11.69iter/s]
Best score: 10.3003: : 96iter [00:10, 11.69iter/s]
Best score: 10.3003: : 97iter [00:10, 11.71iter/s]
Best score: 10.3003: : 97iter [00:10, 11.71iter/s]
Best score: 10.3003: : 98iter [00:10, 11.71iter/s]
Best score: 10.3003: : 99iter [00:10, 11.67iter/s]
[ITER 100] Best: 3.6444
[PARAMS] Current best parameters:
  fx: 535.1815
  fy: 538.3888
  px: 1024.9025
  py: 767.8434
  k1: 0.03203530
  k2: -0.03584415
  k3: 0.00295189
  k4: 0.00340234
  p1: -0.00538350
  p2: 0.01987657
  p3: 0.01418542
  p4: 0.00096012
  s1: -0.0330
  s2: -0.0149
  s3: 0.0057
  s4: -0.0154
  tilt_x: 0.0004
  tilt_y: 0.0667
  scale: 2.9725
  rotation: 0.0260

Best score: 3.6444: : 99iter [00:10, 11.67iter/s] 
Best score: 3.6444: : 100iter [00:10, 11.67iter/s]
Best score: 3.6444: : 101iter [00:10,  9.96iter/s]
Best score: 3.6444: : 101iter [00:10,  9.96iter/s]
Best score: 3.6444: : 102iter [00:10,  9.96iter/s]
Best score: 3.6444: : 103iter [00:10, 10.39iter/s]
Best score: 3.6444: : 103iter [00:11, 10.39iter/s]
Best score: 3.6444: : 104iter [00:11, 10.39iter/s]
Best score: 3.6444: : 105iter [00:11, 10.71iter/s]
Best score: 3.6444: : 105iter [00:11, 10.71iter/s]
Best score: 3.6444: : 106iter [00:11, 10.71iter/s]
Best score: 3.6444: : 107iter [00:11, 10.91iter/s]
Best score: 3.6444: : 107iter [00:11, 10.91iter/s]
Best score: 3.6444: : 108iter [00:11, 10.91iter/s]
Best score: 3.6444: : 109iter [00:11, 11.08iter/s]
Best score: 3.6444: : 109iter [00:11, 11.08iter/s]
Best score: 3.6444: : 110iter [00:11, 11.08iter/s]
Best score: 3.6444: : 111iter [00:11, 11.02iter/s]
Best score: 3.6444: : 111iter [00:11, 11.02iter/s]
Best score: 3.6444: : 112iter [00:11, 11.02iter/s]
Best score: 3.6444: : 113iter [00:11, 11.17iter/s]
Best score: 3.6444: : 113iter [00:11, 11.17iter/s]
Best score: 3.6444: : 114iter [00:12, 11.17iter/s]
Best score: 3.6444: : 115iter [00:12, 11.27iter/s]
Best score: 3.6444: : 115iter [00:12, 11.27iter/s]
Best score: 3.6444: : 116iter [00:12, 11.27iter/s]
Best score: 3.6444: : 117iter [00:12, 11.33iter/s]
Best score: 3.6444: : 117iter [00:12, 11.33iter/s]
Best score: 3.6444: : 118iter [00:12, 11.33iter/s]
Best score: 3.6444: : 119iter [00:12, 11.40iter/s]
Best score: 3.6444: : 119iter [00:12, 11.40iter/s]
Best score: 3.6444: : 120iter [00:12, 11.40iter/s]
Best score: 3.6444: : 121iter [00:12, 11.25iter/s]
Best score: 3.6444: : 121iter [00:12, 11.25iter/s]
Best score: 3.6444: : 122iter [00:12, 11.25iter/s]
Best score: 3.6444: : 123iter [00:12, 11.34iter/s]
Best score: 3.6444: : 123iter [00:12, 11.34iter/s]
Best score: 3.6444: : 124iter [00:12, 11.34iter/s]
Best score: 3.6444: : 125iter [00:12, 11.36iter/s]
Best score: 3.6444: : 125iter [00:12, 11.36iter/s]
Best score: 3.6444: : 126iter [00:13, 11.36iter/s]
Best score: 3.6444: : 127iter [00:13, 11.42iter/s]
Best score: 3.6444: : 127iter [00:13, 11.42iter/s]
Best score: 3.6444: : 128iter [00:13, 11.42iter/s]
Best score: 3.6444: : 129iter [00:13, 11.42iter/s]
Best score: 3.6444: : 129iter [00:13, 11.42iter/s]
Best score: 3.6444: : 130iter [00:13, 11.42iter/s]
Best score: 3.6444: : 131iter [00:13, 11.25iter/s]
Best score: 3.6444: : 131iter [00:13, 11.25iter/s]
Best score: 3.6444: : 132iter [00:13, 11.25iter/s]
Best score: 3.6444: : 133iter [00:13, 11.34iter/s]
Best score: 3.6444: : 133iter [00:13, 11.34iter/s]
Best score: 3.6444: : 134iter [00:13, 11.34iter/s]
Best score: 3.6444: : 135iter [00:13, 11.38iter/s]
Best score: 3.6444: : 135iter [00:13, 11.38iter/s]
Best score: 3.6444: : 136iter [00:13, 11.38iter/s]
Best score: 3.6444: : 137iter [00:13, 11.45iter/s]
Best score: 3.6444: : 137iter [00:14, 11.45iter/s]
Best score: 3.6444: : 138iter [00:14, 11.45iter/s]
Best score: 3.6444: : 139iter [00:14, 11.50iter/s]
Best score: 3.6444: : 139iter [00:14, 11.50iter/s]
Best score: 3.6444: : 140iter [00:14, 11.50iter/s]
Best score: 3.6444: : 141iter [00:14, 11.35iter/s]
Best score: 3.6444: : 141iter [00:14, 11.35iter/s]
Best score: 3.6444: : 142iter [00:14, 11.35iter/s]
Best score: 3.6444: : 143iter [00:14, 11.42iter/s]
Best score: 3.6444: : 143iter [00:14, 11.42iter/s]
Best score: 3.6444: : 144iter [00:14, 11.42iter/s]
Best score: 3.6444: : 145iter [00:14, 11.48iter/s]
Best score: 3.6444: : 145iter [00:14, 11.48iter/s]
Best score: 3.6444: : 146iter [00:14, 11.48iter/s]
Best score: 3.6444: : 147iter [00:14, 11.47iter/s]
Best score: 3.6444: : 147iter [00:14, 11.47iter/s]
Best score: 3.6444: : 148iter [00:14, 11.47iter/s]
Best score: 3.6444: : 149iter [00:14, 11.55iter/s]
[ITER 150] Best: 3.6444
[PARAMS] Current best parameters:
  fx: 535.1815
  fy: 538.3888
  px: 1024.9025
  py: 767.8434
  k1: 0.03203530
  k2: -0.03584415
  k3: 0.00295189
  k4: 0.00340234
  p1: -0.00538350
  p2: 0.01987657
  p3: 0.01418542
  p4: 0.00096012
  s1: -0.0330
  s2: -0.0149
  s3: 0.0057
  s4: -0.0154
  tilt_x: 0.0004
  tilt_y: 0.0667
  scale: 2.9725
  rotation: 0.0260

Best score: 3.6444: : 149iter [00:15, 11.55iter/s]
Best score: 3.6444: : 150iter [00:15, 11.55iter/s]
Best score: 3.6444: : 151iter [00:15,  7.46iter/s]
Best score: 3.6444: : 151iter [00:15,  7.46iter/s]
Best score: 3.6444: : 152iter [00:15,  7.46iter/s]
Best score: 3.6444: : 153iter [00:15,  8.37iter/s]
Best score: 3.6444: : 153iter [00:15,  8.37iter/s]
Best score: 3.6444: : 154iter [00:15,  8.37iter/s]
Best score: 3.6444: : 155iter [00:15,  9.14iter/s]
Best score: 3.6444: : 155iter [00:15,  9.14iter/s]
Best score: 3.6444: : 156iter [00:15,  9.14iter/s]
Best score: 3.6444: : 157iter [00:15,  9.73iter/s]
Best score: 3.6444: : 157iter [00:16,  9.73iter/s]
Best score: 3.6444: : 158iter [00:16,  9.73iter/s]
Best score: 3.6444: : 159iter [00:16, 10.22iter/s]
Best score: 3.6444: : 159iter [00:16, 10.22iter/s]
Best score: 3.6444: : 160iter [00:16, 10.22iter/s]
Best score: 3.6444: : 161iter [00:16, 10.48iter/s]
Best score: 3.6444: : 161iter [00:16, 10.48iter/s]
Best score: 3.6444: : 162iter [00:16, 10.48iter/s]
Best score: 3.6444: : 163iter [00:16, 10.82iter/s]
Best score: 3.6444: : 163iter [00:16, 10.82iter/s]
Best score: 3.6444: : 164iter [00:16, 10.82iter/s]
Best score: 3.6444: : 165iter [00:16, 11.09iter/s]
Best score: 3.6444: : 165iter [00:16, 11.09iter/s]
Best score: 3.6444: : 166iter [00:17, 11.09iter/s]
Best score: 3.6444: : 167iter [00:17,  8.52iter/s]
Best score: 3.6444: : 167iter [00:17,  8.52iter/s]
Best score: 3.6444: : 168iter [00:17,  8.52iter/s]
Best score: 3.6444: : 169iter [00:17,  9.29iter/s]
Best score: 3.6444: : 169iter [00:17,  9.29iter/s]
Best score: 3.6444: : 170iter [00:17,  9.29iter/s]
Best score: 3.6444: : 171iter [00:17,  9.76iter/s]
Best score: 3.6444: : 171iter [00:17,  9.76iter/s]
Best score: 3.6444: : 172iter [00:17,  9.76iter/s]
Best score: 3.6444: : 173iter [00:17, 10.27iter/s]
Best score: 3.6444: : 173iter [00:17, 10.27iter/s]
Best score: 3.6444: : 174iter [00:17, 10.27iter/s]
Best score: 3.6444: : 175iter [00:17, 10.66iter/s]
Best score: 3.6444: : 175iter [00:17, 10.66iter/s]
Best score: 3.6444: : 176iter [00:17, 10.66iter/s]
Best score: 3.6444: : 177iter [00:17, 10.98iter/s]
Best score: 3.6444: : 177iter [00:17, 10.98iter/s]
Best score: 3.6444: : 178iter [00:18, 10.98iter/s]
Best score: 3.6444: : 179iter [00:18, 11.19iter/s]
Best score: 3.6444: : 179iter [00:18, 11.19iter/s]
Best score: 3.6444: : 180iter [00:18, 11.19iter/s]
Best score: 3.6444: : 181iter [00:18, 11.21iter/s]
Best score: 3.6444: : 181iter [00:18, 11.21iter/s]
Best score: 3.6444: : 182iter [00:18, 11.21iter/s]
Best score: 3.6444: : 183iter [00:18, 11.38iter/s]
Best score: 3.6444: : 183iter [00:18, 11.38iter/s]
Best score: 3.6444: : 184iter [00:18, 11.38iter/s]
Best score: 3.6444: : 185iter [00:18, 11.53iter/s]
Best score: 3.6444: : 185iter [00:18, 11.53iter/s]
Best score: 3.6444: : 186iter [00:18, 11.53iter/s]
Best score: 3.6444: : 187iter [00:18, 11.61iter/s]
Best score: 3.6444: : 187iter [00:18, 11.61iter/s]
Best score: 3.6444: : 188iter [00:18, 11.61iter/s]
Best score: 3.6444: : 189iter [00:18, 11.61iter/s]
Best score: 3.6444: : 189iter [00:19, 11.61iter/s]
Best score: 3.6444: : 190iter [00:19, 11.61iter/s]
Best score: 3.6444: : 191iter [00:19, 11.47iter/s]
Best score: 3.6444: : 191iter [00:19, 11.47iter/s]
Best score: 3.6444: : 192iter [00:19, 11.47iter/s]
Best score: 3.6444: : 193iter [00:19, 11.50iter/s]
Best score: 3.6444: : 193iter [00:19, 11.50iter/s]
Best score: 3.6444: : 194iter [00:19, 11.50iter/s]
Best score: 3.6444: : 195iter [00:19, 11.55iter/s]
Best score: 3.6444: : 195iter [00:19, 11.55iter/s]
Best score: 3.6444: : 196iter [00:19, 11.55iter/s]
Best score: 3.6444: : 197iter [00:19, 11.60iter/s]
Best score: 3.6444: : 197iter [00:19, 11.60iter/s]
Best score: 3.6444: : 198iter [00:19, 11.60iter/s]
Best score: 3.6444: : 199iter [00:19, 11.68iter/s]
[ITER 200] Best: 3.6444
[PARAMS] Current best parameters:
  fx: 535.1815
  fy: 538.3888
  px: 1024.9025
  py: 767.8434
  k1: 0.03203530
  k2: -0.03584415
  k3: 0.00295189
  k4: 0.00340234
  p1: -0.00538350
  p2: 0.01987657
  p3: 0.01418542
  p4: 0.00096012
  s1: -0.0330
  s2: -0.0149
  s3: 0.0057
  s4: -0.0154
  tilt_x: 0.0004
  tilt_y: 0.0667
  scale: 2.9725
  rotation: 0.0260

Best score: 3.6444: : 199iter [00:19, 11.68iter/s]
Best score: 3.6444: : 200iter [00:20, 11.68iter/s]
Best score: 3.6444: : 201iter [00:20,  7.53iter/s]
Best score: 3.6444: : 201iter [00:20,  7.53iter/s]
Best score: 3.6444: : 202iter [00:20,  7.53iter/s]
Best score: 3.6444: : 203iter [00:20,  8.43iter/s]
Best score: 3.6444: : 203iter [00:20,  8.43iter/s]
Best score: 3.6444: : 204iter [00:20,  8.43iter/s]
Best score: 3.6444: : 205iter [00:20,  9.20iter/s]
Best score: 3.6444: : 205iter [00:20,  9.20iter/s]
Best score: 3.6444: : 206iter [00:20,  9.20iter/s]
Best score: 3.6444: : 207iter [00:20,  9.83iter/s]
Best score: 3.6444: : 207iter [00:20,  9.83iter/s]
Best score: 3.6444: : 208iter [00:20,  9.83iter/s]
Best score: 3.6444: : 209iter [00:20, 10.35iter/s]
Best score: 2.5015: : 209iter [00:21, 10.35iter/s]
Best score: 2.5015: : 210iter [00:21, 10.35iter/s]
Best score: 2.5015: : 211iter [00:21, 10.57iter/s]
Best score: 2.5015: : 211iter [00:21, 10.57iter/s]
Best score: 2.5015: : 212iter [00:21, 10.57iter/s]
Best score: 2.5015: : 213iter [00:21, 10.91iter/s]
Best score: 2.5015: : 213iter [00:21, 10.91iter/s]
Best score: 2.5015: : 214iter [00:21, 10.91iter/s]
Best score: 2.5015: : 215iter [00:21, 11.17iter/s]
Best score: 2.5015: : 215iter [00:21, 11.17iter/s]
Best score: 2.5015: : 216iter [00:21, 11.17iter/s]
Best score: 2.5015: : 217iter [00:21, 11.35iter/s]
Best score: 2.5015: : 217iter [00:21, 11.35iter/s]
Best score: 2.5015: : 218iter [00:21, 11.35iter/s]
Best score: 2.5015: : 219iter [00:21, 11.48iter/s]
Best score: 2.5001: : 219iter [00:21, 11.48iter/s]
Best score: 2.5001: : 220iter [00:21, 11.48iter/s]
Best score: 2.5001: : 221iter [00:21, 11.42iter/s]
Best score: 2.5001: : 221iter [00:22, 11.42iter/s]
Best score: 2.5001: : 222iter [00:22, 11.42iter/s]
Best score: 2.5001: : 223iter [00:22, 11.55iter/s]
Best score: 2.5001: : 223iter [00:22, 11.55iter/s]
Best score: 2.5001: : 224iter [00:22, 11.55iter/s]
Best score: 2.5001: : 225iter [00:22, 11.62iter/s]
Best score: 2.5001: : 225iter [00:22, 11.62iter/s]
Best score: 2.5001: : 226iter [00:22, 11.62iter/s]
Best score: 2.5001: : 227iter [00:22, 11.62iter/s]
Best score: 2.5001: : 227iter [00:22, 11.62iter/s]
Best score: 2.5001: : 228iter [00:22, 11.62iter/s]
Best score: 2.5001: : 229iter [00:22, 11.62iter/s]
Best score: 1.0543: : 229iter [00:22, 11.62iter/s]
Best score: 1.0543: : 230iter [00:22, 11.62iter/s]
Best score: 1.0543: : 231iter [00:22, 11.48iter/s]
Best score: 1.0543: : 231iter [00:22, 11.48iter/s]
Best score: 1.0543: : 232iter [00:23, 11.48iter/s]
Best score: 1.0543: : 233iter [00:23, 11.59iter/s]
Best score: 1.0543: : 233iter [00:23, 11.59iter/s]
Best score: 1.0543: : 234iter [00:23, 11.59iter/s]
Best score: 1.0543: : 235iter [00:23, 11.67iter/s]
Best score: 1.0543: : 235iter [00:23, 11.67iter/s]
Best score: 1.0543: : 236iter [00:23, 11.67iter/s]
Best score: 1.0543: : 237iter [00:23, 11.68iter/s]
Best score: 1.0543: : 237iter [00:23, 11.68iter/s]
Best score: 1.0543: : 238iter [00:23, 11.68iter/s]
Best score: 1.0543: : 239iter [00:23, 11.74iter/s]
Best score: 1.0543: : 239iter [00:23, 11.74iter/s]
Best score: 1.0543: : 240iter [00:23, 11.74iter/s]
Best score: 1.0543: : 241iter [00:23, 11.54iter/s]
Best score: 1.0543: : 241iter [00:23, 11.54iter/s]
Best score: 1.0543: : 242iter [00:23, 11.54iter/s]
Best score: 1.0543: : 243iter [00:23, 11.59iter/s]
Best score: 1.0543: : 243iter [00:23, 11.59iter/s]
Best score: 1.0543: : 244iter [00:24, 11.59iter/s]
Best score: 1.0543: : 245iter [00:24, 11.64iter/s]
Best score: 1.0543: : 245iter [00:24, 11.64iter/s]
Best score: 1.0543: : 246iter [00:24, 11.64iter/s]
Best score: 1.0543: : 247iter [00:24, 11.66iter/s]
Best score: 1.0543: : 247iter [00:24, 11.66iter/s]
Best score: 1.0543: : 248iter [00:24, 11.66iter/s]
Best score: 1.0543: : 249iter [00:24, 11.70iter/s]
[ITER 250] Best: 1.0004
[PARAMS] Current best parameters:
  fx: 518.6451
  fy: 518.4055
  px: 1025.7946
  py: 756.7729
  k1: 0.04249935
  k2: -0.02308775
  k3: -0.00032637
  k4: 0.00211795
  p1: -0.02752212
  p2: 0.00387436
  p3: 0.01545662
  p4: 0.00992239
  s1: -0.0124
  s2: -0.0186
  s3: 0.0085
  s4: -0.0130
  tilt_x: -0.0090
  tilt_y: 0.0363
  scale: 2.9503
  rotation: -0.2978

Best score: 1.0004: : 249iter [00:24, 11.70iter/s]
Best score: 1.0004: : 250iter [00:24, 11.70iter/s]
Best score: 1.0004: : 251iter [00:24,  7.49iter/s]
Best score: 1.0004: : 251iter [00:24,  7.49iter/s]
Best score: 1.0004: : 252iter [00:25,  7.49iter/s]
Best score: 1.0004: : 253iter [00:25,  8.40iter/s]
Best score: 1.0004: : 253iter [00:25,  8.40iter/s]
Best score: 1.0004: : 254iter [00:25,  8.40iter/s]
Best score: 1.0004: : 255iter [00:25,  9.21iter/s]
Best score: 1.0004: : 255iter [00:25,  9.21iter/s]
Best score: 1.0004: : 256iter [00:25,  9.21iter/s]
Best score: 1.0004: : 257iter [00:25,  9.83iter/s]
Best score: 1.0004: : 257iter [00:25,  9.83iter/s]
Best score: 1.0004: : 258iter [00:25,  9.83iter/s]
Best score: 1.0004: : 259iter [00:25, 10.33iter/s]
Best score: 1.0004: : 259iter [00:25, 10.33iter/s]
Best score: 1.0004: : 260iter [00:25, 10.33iter/s]
Best score: 1.0004: : 261iter [00:25, 10.56iter/s]
Best score: 1.0004: : 261iter [00:25, 10.56iter/s]
Best score: 1.0004: : 262iter [00:25, 10.56iter/s]
Best score: 1.0004: : 263iter [00:25, 10.91iter/s]
Best score: 1.0004: : 263iter [00:26, 10.91iter/s]
Best score: 1.0004: : 264iter [00:26, 10.91iter/s]
Best score: 1.0004: : 265iter [00:26, 11.09iter/s]
Best score: 1.0004: : 265iter [00:26, 11.09iter/s]
Best score: 1.0004: : 266iter [00:26, 11.09iter/s]
Best score: 1.0004: : 267iter [00:26, 11.30iter/s]
Best score: 1.0004: : 267iter [00:26, 11.30iter/s]
Best score: 1.0004: : 268iter [00:26, 11.30iter/s]
Best score: 1.0004: : 269iter [00:26, 11.45iter/s]
Best score: 0.9874: : 269iter [00:26, 11.45iter/s]
Best score: 0.9874: : 270iter [00:26, 11.45iter/s]
Best score: 0.9874: : 271iter [00:26, 11.36iter/s]
Best score: 0.9874: : 271iter [00:26, 11.36iter/s]
Best score: 0.9874: : 272iter [00:26, 11.36iter/s]
Best score: 0.9874: : 273iter [00:26, 11.50iter/s]
Best score: 0.9874: : 273iter [00:26, 11.50iter/s]
Best score: 0.9874: : 274iter [00:26, 11.50iter/s]
Best score: 0.9874: : 275iter [00:26, 11.60iter/s]
Best score: 0.9874: : 275iter [00:27, 11.60iter/s]
Best score: 0.9874: : 276iter [00:27, 11.60iter/s]
Best score: 0.9874: : 277iter [00:27, 11.68iter/s]
Best score: 0.9874: : 277iter [00:27, 11.68iter/s]
Best score: 0.9874: : 278iter [00:27, 11.68iter/s]
Best score: 0.9874: : 279iter [00:27, 11.72iter/s]
Best score: 0.9874: : 279iter [00:27, 11.72iter/s]
Best score: 0.9874: : 280iter [00:27, 11.72iter/s]
Best score: 0.9874: : 281iter [00:27, 11.56iter/s]
Best score: 0.9874: : 281iter [00:27, 11.56iter/s]
Best score: 0.9874: : 282iter [00:27, 11.56iter/s]
Best score: 0.9874: : 283iter [00:27, 11.63iter/s]
Best score: 0.9874: : 283iter [00:27, 11.63iter/s]
Best score: 0.9874: : 284iter [00:27, 11.63iter/s]
Best score: 0.9874: : 285iter [00:27, 11.67iter/s]
Best score: 0.9874: : 285iter [00:27, 11.67iter/s]
Best score: 0.9874: : 286iter [00:27, 11.67iter/s]
Best score: 0.9874: : 287iter [00:27, 11.71iter/s]
Best score: 0.9874: : 287iter [00:28, 11.71iter/s]
Best score: 0.9874: : 288iter [00:28, 11.71iter/s]
Best score: 0.9874: : 289iter [00:28, 11.75iter/s]
Best score: 0.7025: : 289iter [00:28, 11.75iter/s]
Best score: 0.7025: : 290iter [00:28, 11.75iter/s]
Best score: 0.7025: : 291iter [00:28, 11.59iter/s]
Best score: 0.7025: : 291iter [00:28, 11.59iter/s]
Best score: 0.7025: : 292iter [00:28, 11.59iter/s]
Best score: 0.7025: : 293iter [00:28, 11.66iter/s]
Best score: 0.7025: : 293iter [00:28, 11.66iter/s]
Best score: 0.7025: : 294iter [00:28, 11.66iter/s]
Best score: 0.7025: : 295iter [00:28, 11.72iter/s]
Best score: 0.7025: : 295iter [00:28, 11.72iter/s]
Best score: 0.7025: : 296iter [00:28, 11.72iter/s]
Best score: 0.7025: : 297iter [00:28, 11.78iter/s]
Best score: 0.7025: : 297iter [00:28, 11.78iter/s]
Best score: 0.7025: : 298iter [00:28, 11.78iter/s]
Best score: 0.7025: : 299iter [00:28, 11.80iter/s]
[ITER 300] Best: 0.7025
[PARAMS] Current best parameters:
  fx: 514.7066
  fy: 514.0283
  px: 1019.6271
  py: 762.5325
  k1: 0.04022127
  k2: -0.03398259
  k3: 0.01865783
  k4: -0.00444220
  p1: -0.01629937
  p2: 0.00264794
  p3: 0.01593811
  p4: 0.00305020
  s1: -0.0273
  s2: -0.0028
  s3: 0.0057
  s4: -0.0104
  tilt_x: -0.0026
  tilt_y: 0.0607
  scale: 2.9952
  rotation: -0.4041

Best score: 0.7025: : 299iter [00:29, 11.80iter/s]
Best score: 0.7025: : 300iter [00:29, 11.80iter/s]
Best score: 0.7025: : 301iter [00:29,  7.57iter/s]
Best score: 0.7025: : 301iter [00:29,  7.57iter/s]
Best score: 0.7025: : 302iter [00:29,  7.57iter/s]
Best score: 0.7025: : 303iter [00:29,  8.47iter/s]
Best score: 0.7025: : 303iter [00:29,  8.47iter/s]
Best score: 0.7025: : 304iter [00:29,  8.47iter/s]
Best score: 0.7025: : 305iter [00:29,  9.26iter/s]
Best score: 0.7025: : 305iter [00:29,  9.26iter/s]
Best score: 0.7025: : 306iter [00:29,  9.26iter/s]
Best score: 0.7025: : 307iter [00:29,  9.91iter/s]
Best score: 0.7025: : 307iter [00:30,  9.91iter/s]
Best score: 0.7025: : 308iter [00:30,  9.91iter/s]
Best score: 0.7025: : 309iter [00:30, 10.42iter/s]
Best score: 0.7025: : 309iter [00:30, 10.42iter/s]
Best score: 0.7025: : 310iter [00:30, 10.42iter/s]
Best score: 0.7025: : 311iter [00:30, 10.64iter/s]
Best score: 0.7025: : 311iter [00:30, 10.64iter/s]
Best score: 0.7025: : 312iter [00:30, 10.64iter/s]
Best score: 0.7025: : 313iter [00:30, 10.98iter/s]
Best score: 0.7025: : 313iter [00:30, 10.98iter/s]
Best score: 0.7025: : 314iter [00:30, 10.98iter/s]
Best score: 0.7025: : 315iter [00:30, 11.23iter/s]
Best score: 0.7025: : 315iter [00:30, 11.23iter/s]
Best score: 0.7025: : 316iter [00:30, 11.23iter/s]
Best score: 0.7025: : 317iter [00:30, 11.42iter/s]
Best score: 0.7025: : 317iter [00:30, 11.42iter/s]
Best score: 0.7025: : 318iter [00:31, 11.42iter/s]
Best score: 0.7025: : 319iter [00:31, 11.55iter/s]
Best score: 0.6181: : 319iter [00:31, 11.55iter/s]
Best score: 0.6181: : 320iter [00:31, 11.55iter/s]
Best score: 0.6181: : 321iter [00:31, 11.44iter/s]
Best score: 0.6181: : 321iter [00:31, 11.44iter/s]
Best score: 0.6181: : 322iter [00:31, 11.44iter/s]
Best score: 0.6181: : 323iter [00:31, 11.56iter/s]
Best score: 0.6181: : 323iter [00:31, 11.56iter/s]
Best score: 0.6181: : 324iter [00:31, 11.56iter/s]
Best score: 0.6181: : 325iter [00:31, 11.65iter/s]
Best score: 0.6181: : 325iter [00:31, 11.65iter/s]
Best score: 0.6181: : 326iter [00:31, 11.65iter/s]
Best score: 0.6181: : 327iter [00:31, 11.65iter/s]
Best score: 0.6181: : 327iter [00:31, 11.65iter/s]
Best score: 0.6181: : 328iter [00:31, 11.65iter/s]
Best score: 0.6181: : 329iter [00:31, 11.72iter/s]
Best score: 0.4890: : 329iter [00:31, 11.72iter/s]
Best score: 0.4890: : 330iter [00:32, 11.72iter/s]
Best score: 0.4890: : 331iter [00:32, 11.55iter/s]
Best score: 0.4890: : 331iter [00:32, 11.55iter/s]
Best score: 0.4890: : 332iter [00:32, 11.55iter/s]
Best score: 0.4890: : 333iter [00:32, 11.63iter/s]
Best score: 0.4890: : 333iter [00:32, 11.63iter/s]
Best score: 0.4890: : 334iter [00:32, 11.63iter/s]
Best score: 0.4890: : 335iter [00:32, 11.70iter/s]
Best score: 0.4890: : 335iter [00:32, 11.70iter/s]
Best score: 0.4890: : 336iter [00:32, 11.70iter/s]
Best score: 0.4890: : 337iter [00:32, 11.75iter/s]
Best score: 0.4890: : 337iter [00:32, 11.75iter/s]
Best score: 0.4890: : 338iter [00:32, 11.75iter/s]
Best score: 0.4890: : 339iter [00:32, 11.78iter/s]
Best score: 0.4461: : 339iter [00:32, 11.78iter/s]
Best score: 0.4461: : 340iter [00:32, 11.78iter/s]
Best score: 0.4461: : 341iter [00:32, 11.59iter/s]
Best score: 0.4461: : 341iter [00:32, 11.59iter/s]
Best score: 0.4461: : 342iter [00:33, 11.59iter/s]
Best score: 0.4461: : 343iter [00:33, 11.65iter/s]
Best score: 0.4461: : 343iter [00:33, 11.65iter/s]
Best score: 0.4461: : 344iter [00:33, 11.65iter/s]
Best score: 0.4461: : 345iter [00:33, 11.67iter/s]
Best score: 0.4461: : 345iter [00:33, 11.67iter/s]
Best score: 0.4461: : 346iter [00:33, 11.67iter/s]
Best score: 0.4461: : 347iter [00:33, 11.70iter/s]
Best score: 0.4461: : 347iter [00:33, 11.70iter/s]
Best score: 0.4461: : 348iter [00:33, 11.70iter/s]
Best score: 0.4461: : 349iter [00:33, 11.75iter/s]
[ITER 350] Best: 0.4298
[PARAMS] Current best parameters:
  fx: 540.3885
  fy: 539.9162
  px: 1021.4390
  py: 758.9761
  k1: 0.01502327
  k2: -0.03078489
  k3: 0.01491125
  k4: -0.00293101
  p1: -0.02833339
  p2: -0.00160884
  p3: 0.01308548
  p4: -0.00566517
  s1: -0.0158
  s2: 0.0026
  s3: 0.0084
  s4: 0.0092
  tilt_x: -0.0026
  tilt_y: 0.0464
  scale: 2.9776
  rotation: -0.3051

Best score: 0.4298: : 349iter [00:33, 11.75iter/s]
Best score: 0.4298: : 350iter [00:34, 11.75iter/s]
Best score: 0.4298: : 351iter [00:34,  7.53iter/s]
Best score: 0.4298: : 351iter [00:34,  7.53iter/s]
Best score: 0.4298: : 352iter [00:34,  7.53iter/s]
Best score: 0.4298: : 353iter [00:34,  8.45iter/s]
Best score: 0.4298: : 353iter [00:34,  8.45iter/s]
Best score: 0.4298: : 354iter [00:34,  8.45iter/s]
Best score: 0.4298: : 355iter [00:34,  9.23iter/s]
Best score: 0.4298: : 355iter [00:34,  9.23iter/s]
Best score: 0.4298: : 356iter [00:34,  9.23iter/s]
Best score: 0.4298: : 357iter [00:34,  9.88iter/s]
Best score: 0.4298: : 357iter [00:34,  9.88iter/s]
Best score: 0.4298: : 358iter [00:34,  9.88iter/s]
Best score: 0.4298: : 359iter [00:34, 10.37iter/s]
Best score: 0.3594: : 359iter [00:34, 10.37iter/s]
Best score: 0.3594: : 360iter [00:34, 10.37iter/s]
Best score: 0.3594: : 361iter [00:34, 10.60iter/s]
Best score: 0.3594: : 361iter [00:35, 10.60iter/s]
Best score: 0.3594: : 362iter [00:35, 10.60iter/s]
Best score: 0.3594: : 363iter [00:35, 10.87iter/s]
Best score: 0.3594: : 363iter [00:35, 10.87iter/s]
Best score: 0.3594: : 364iter [00:35, 10.87iter/s]
Best score: 0.3594: : 365iter [00:35, 11.06iter/s]
Best score: 0.3594: : 365iter [00:35, 11.06iter/s]
Best score: 0.3594: : 366iter [00:35, 11.06iter/s]
Best score: 0.3594: : 367iter [00:35, 11.27iter/s]
Best score: 0.3594: : 367iter [00:35, 11.27iter/s]
Best score: 0.3594: : 368iter [00:35, 11.27iter/s]
Best score: 0.3594: : 369iter [00:35, 11.39iter/s]
Best score: 0.3594: : 369iter [00:35, 11.39iter/s]
Best score: 0.3594: : 370iter [00:35, 11.39iter/s]
Best score: 0.3594: : 371iter [00:35, 11.32iter/s]
Best score: 0.3594: : 371iter [00:35, 11.32iter/s]
Best score: 0.3594: : 372iter [00:35, 11.32iter/s]
Best score: 0.3594: : 373iter [00:35, 11.47iter/s]
Best score: 0.3594: : 373iter [00:36, 11.47iter/s]
Best score: 0.3594: : 374iter [00:36, 11.47iter/s]
Best score: 0.3594: : 375iter [00:36, 11.57iter/s]
Best score: 0.3594: : 375iter [00:36, 11.57iter/s]
Best score: 0.3594: : 376iter [00:36, 11.57iter/s]
Best score: 0.3594: : 377iter [00:36, 11.65iter/s]
Best score: 0.3594: : 377iter [00:36, 11.65iter/s]
Best score: 0.3594: : 378iter [00:36, 11.65iter/s]
Best score: 0.3594: : 379iter [00:36, 11.71iter/s]
Best score: 0.3421: : 379iter [00:36, 11.71iter/s]
Best score: 0.3421: : 380iter [00:36, 11.71iter/s]
Best score: 0.3421: : 381iter [00:36, 11.48iter/s]
Best score: 0.3421: : 381iter [00:36, 11.48iter/s]
Best score: 0.3421: : 382iter [00:36, 11.48iter/s]
Best score: 0.3421: : 383iter [00:36, 11.57iter/s]
Best score: 0.3421: : 383iter [00:36, 11.57iter/s]
Best score: 0.3421: : 384iter [00:36, 11.57iter/s]
Best score: 0.3421: : 385iter [00:36, 11.64iter/s]
Best score: 0.3421: : 385iter [00:37, 11.64iter/s]
Best score: 0.3421: : 386iter [00:37, 11.64iter/s]
Best score: 0.3421: : 387iter [00:37, 11.69iter/s]
Best score: 0.3421: : 387iter [00:37, 11.69iter/s]
Best score: 0.3421: : 388iter [00:37, 11.69iter/s]
Best score: 0.3421: : 389iter [00:37, 11.72iter/s]
Best score: 0.3421: : 389iter [00:37, 11.72iter/s]
Best score: 0.3421: : 390iter [00:37, 11.72iter/s]
Best score: 0.3421: : 391iter [00:37, 11.53iter/s]
Best score: 0.3421: : 391iter [00:37, 11.53iter/s]
Best score: 0.3421: : 392iter [00:37, 11.53iter/s]
Best score: 0.3421: : 393iter [00:37, 11.61iter/s]
Best score: 0.3421: : 393iter [00:37, 11.61iter/s]
Best score: 0.3421: : 394iter [00:37, 11.61iter/s]
Best score: 0.3421: : 395iter [00:37, 11.68iter/s]
Best score: 0.3421: : 395iter [00:37, 11.68iter/s]
Best score: 0.3421: : 396iter [00:38, 11.68iter/s]
Best score: 0.3421: : 397iter [00:38, 11.67iter/s]
Best score: 0.3421: : 397iter [00:38, 11.67iter/s]
Best score: 0.3421: : 398iter [00:38, 11.67iter/s]
Best score: 0.3421: : 399iter [00:38, 11.70iter/s]
[ITER 400] Best: 0.3152
[PARAMS] Current best parameters:
  fx: 530.5605
  fy: 530.5911
  px: 1023.4209
  py: 761.5998
  k1: 0.01790163
  k2: -0.02154377
  k3: 0.01009996
  k4: -0.00202214
  p1: -0.01992506
  p2: 0.00568549
  p3: 0.00970929
  p4: -0.00043780
  s1: -0.0230
  s2: 0.0008
  s3: 0.0082
  s4: 0.0008
  tilt_x: -0.0042
  tilt_y: 0.0486
  scale: 2.9840
  rotation: -0.3039

Best score: 0.3152: : 399iter [00:38, 11.70iter/s]
Best score: 0.3152: : 400iter [00:38, 11.70iter/s]
Best score: 0.3152: : 401iter [00:38,  7.50iter/s]
Best score: 0.3152: : 401iter [00:38,  7.50iter/s]
Best score: 0.3152: : 402iter [00:38,  7.50iter/s]
Best score: 0.3152: : 403iter [00:38,  8.43iter/s]
Best score: 0.3152: : 403iter [00:38,  8.43iter/s]
Best score: 0.3152: : 404iter [00:39,  8.43iter/s]
Best score: 0.3152: : 405iter [00:39,  9.22iter/s]
Best score: 0.3152: : 405iter [00:39,  9.22iter/s]
Best score: 0.3152: : 406iter [00:39,  9.22iter/s]
Best score: 0.3152: : 407iter [00:39,  9.87iter/s]
Best score: 0.3152: : 407iter [00:39,  9.87iter/s]
Best score: 0.3152: : 408iter [00:39,  9.87iter/s]
Best score: 0.3152: : 409iter [00:39, 10.38iter/s]
Best score: 0.3072: : 409iter [00:39, 10.38iter/s]
Best score: 0.3072: : 410iter [00:39, 10.38iter/s]
Best score: 0.3072: : 411iter [00:39, 10.60iter/s]
Best score: 0.3072: : 411iter [00:39, 10.60iter/s]
Best score: 0.3072: : 412iter [00:39, 10.60iter/s]
Best score: 0.3072: : 413iter [00:39, 10.93iter/s]
Best score: 0.3072: : 413iter [00:39, 10.93iter/s]
Best score: 0.3072: : 414iter [00:39, 10.93iter/s]
Best score: 0.3072: : 415iter [00:39, 11.15iter/s]
Best score: 0.3072: : 415iter [00:39, 11.15iter/s]
Best score: 0.3072: : 416iter [00:40, 11.15iter/s]
Best score: 0.3072: : 417iter [00:40, 11.34iter/s]
Best score: 0.3072: : 417iter [00:40, 11.34iter/s]
Best score: 0.3072: : 418iter [00:40, 11.34iter/s]
Best score: 0.3072: : 419iter [00:40, 11.48iter/s]
Best score: 0.3072: : 419iter [00:40, 11.48iter/s]
Best score: 0.3072: : 420iter [00:40, 11.48iter/s]
Best score: 0.3072: : 421iter [00:40, 11.33iter/s]
Best score: 0.3072: : 421iter [00:40, 11.33iter/s]
Best score: 0.3072: : 422iter [00:40, 11.33iter/s]
Best score: 0.3072: : 423iter [00:40, 11.34iter/s]
Best score: 0.3072: : 423iter [00:40, 11.34iter/s]
Best score: 0.3072: : 424iter [00:40, 11.34iter/s]
Best score: 0.3072: : 425iter [00:40, 11.48iter/s]
Best score: 0.3072: : 425iter [00:40, 11.48iter/s]
Best score: 0.3072: : 426iter [00:40, 11.48iter/s]
Best score: 0.3072: : 427iter [00:40, 11.58iter/s]
Best score: 0.3072: : 427iter [00:40, 11.58iter/s]
Best score: 0.3072: : 428iter [00:41, 11.58iter/s]
Best score: 0.3072: : 429iter [00:41, 11.66iter/s]
Best score: 0.2847: : 429iter [00:41, 11.66iter/s]
Best score: 0.2847: : 430iter [00:41, 11.66iter/s]
Best score: 0.2847: : 431iter [00:41, 11.50iter/s]
Best score: 0.2847: : 431iter [00:41, 11.50iter/s]
Best score: 0.2847: : 432iter [00:41, 11.50iter/s]
Best score: 0.2847: : 433iter [00:41, 11.58iter/s]
Best score: 0.2847: : 433iter [00:41, 11.58iter/s]
Best score: 0.2847: : 434iter [00:41, 11.58iter/s]
Best score: 0.2847: : 435iter [00:41, 11.66iter/s]
Best score: 0.2847: : 435iter [00:41, 11.66iter/s]
Best score: 0.2847: : 436iter [00:41, 11.66iter/s]
Best score: 0.2847: : 437iter [00:41, 11.71iter/s]
Best score: 0.2847: : 437iter [00:41, 11.71iter/s]
Best score: 0.2847: : 438iter [00:41, 11.71iter/s]
Best score: 0.2847: : 439iter [00:41, 11.74iter/s]
Best score: 0.2789: : 439iter [00:42, 11.74iter/s]
Best score: 0.2789: : 440iter [00:42, 11.74iter/s]
Best score: 0.2789: : 441iter [00:42, 11.55iter/s]
Best score: 0.2789: : 441iter [00:42, 11.55iter/s]
Best score: 0.2789: : 442iter [00:42, 11.55iter/s]
Best score: 0.2789: : 443iter [00:42, 11.63iter/s]
Best score: 0.2789: : 443iter [00:42, 11.63iter/s]
Best score: 0.2789: : 444iter [00:42, 11.63iter/s]
Best score: 0.2789: : 445iter [00:42, 11.68iter/s]
Best score: 0.2789: : 445iter [00:42, 11.68iter/s]
Best score: 0.2789: : 446iter [00:42, 11.68iter/s]
Best score: 0.2789: : 447iter [00:42, 11.74iter/s]
Best score: 0.2789: : 447iter [00:42, 11.74iter/s]
Best score: 0.2789: : 448iter [00:42, 11.74iter/s]
Best score: 0.2789: : 449iter [00:42, 11.75iter/s]
[ITER 450] Best: 0.2789
[PARAMS] Current best parameters:
  fx: 536.6200
  fy: 536.8530
  px: 1025.5667
  py: 761.4667
  k1: 0.01458411
  k2: -0.03109672
  k3: 0.01940960
  k4: -0.00468431
  p1: -0.01371838
  p2: 0.00845819
  p3: 0.00247831
  p4: 0.00113649
  s1: -0.0137
  s2: -0.0032
  s3: 0.0102
  s4: -0.0024
  tilt_x: -0.0171
  tilt_y: 0.0449
  scale: 2.9842
  rotation: -0.2948

Best score: 0.2789: : 449iter [00:42, 11.75iter/s]
Best score: 0.2789: : 450iter [00:43, 11.75iter/s]
Best score: 0.2789: : 451iter [00:43,  7.47iter/s]
Best score: 0.2789: : 451iter [00:43,  7.47iter/s]
Best score: 0.2789: : 452iter [00:43,  7.47iter/s]
Best score: 0.2789: : 453iter [00:43,  8.40iter/s]
Best score: 0.2789: : 453iter [00:43,  8.40iter/s]
Best score: 0.2789: : 454iter [00:43,  8.40iter/s]
Best score: 0.2789: : 455iter [00:43,  9.19iter/s]
Best score: 0.2789: : 455iter [00:43,  9.19iter/s]
Best score: 0.2789: : 456iter [00:43,  9.19iter/s]
Best score: 0.2789: : 457iter [00:43,  9.83iter/s]
Best score: 0.2789: : 457iter [00:43,  9.83iter/s]
Best score: 0.2789: : 458iter [00:43,  9.83iter/s]
Best score: 0.2789: : 459iter [00:43, 10.36iter/s]
Best score: 0.2789: : 459iter [00:44, 10.36iter/s]
Best score: 0.2789: : 460iter [00:44, 10.36iter/s]
Best score: 0.2789: : 461iter [00:44, 10.58iter/s]
Best score: 0.2789: : 461iter [00:44, 10.58iter/s]
Best score: 0.2789: : 462iter [00:44, 10.58iter/s]
Best score: 0.2789: : 463iter [00:44, 10.89iter/s]
Best score: 0.2789: : 463iter [00:44, 10.89iter/s]
Best score: 0.2789: : 464iter [00:44, 10.89iter/s]
Best score: 0.2789: : 465iter [00:44, 11.09iter/s]
Best score: 0.2789: : 465iter [00:44, 11.09iter/s]
Best score: 0.2789: : 466iter [00:44, 11.09iter/s]
Best score: 0.2789: : 467iter [00:44, 11.29iter/s]
Best score: 0.2789: : 467iter [00:44, 11.29iter/s]
Best score: 0.2789: : 468iter [00:44, 11.29iter/s]
Best score: 0.2789: : 469iter [00:44, 11.42iter/s]
Best score: 0.2654: : 469iter [00:44, 11.42iter/s]
Best score: 0.2654: : 470iter [00:45, 11.42iter/s]
Best score: 0.2654: : 471iter [00:45, 11.33iter/s]
Best score: 0.2654: : 471iter [00:45, 11.33iter/s]
Best score: 0.2654: : 472iter [00:45, 11.33iter/s]
Best score: 0.2654: : 473iter [00:45, 11.47iter/s]
Best score: 0.2654: : 473iter [00:45, 11.47iter/s]
Best score: 0.2654: : 474iter [00:45, 11.47iter/s]
Best score: 0.2654: : 475iter [00:45, 11.58iter/s]
Best score: 0.2654: : 475iter [00:45, 11.58iter/s]
Best score: 0.2654: : 476iter [00:45, 11.58iter/s]
Best score: 0.2654: : 477iter [00:45, 11.63iter/s]
Best score: 0.2654: : 477iter [00:45, 11.63iter/s]
Best score: 0.2654: : 478iter [00:45, 11.63iter/s]
Best score: 0.2654: : 479iter [00:45, 11.68iter/s]
Best score: 0.2653: : 479iter [00:45, 11.68iter/s]
Best score: 0.2653: : 480iter [00:45, 11.68iter/s]
Best score: 0.2653: : 481iter [00:45, 11.52iter/s]
Best score: 0.2653: : 481iter [00:45, 11.52iter/s]
Best score: 0.2653: : 482iter [00:46, 11.52iter/s]
Best score: 0.2653: : 483iter [00:46, 11.61iter/s]
Best score: 0.2653: : 483iter [00:46, 11.61iter/s]
Best score: 0.2653: : 484iter [00:46, 11.61iter/s]
Best score: 0.2653: : 485iter [00:46, 11.68iter/s]
Best score: 0.2653: : 485iter [00:46, 11.68iter/s]
Best score: 0.2653: : 486iter [00:46, 11.68iter/s]
Best score: 0.2653: : 487iter [00:46, 11.73iter/s]
Best score: 0.2653: : 487iter [00:46, 11.73iter/s]
Best score: 0.2653: : 488iter [00:46, 11.73iter/s]
Best score: 0.2653: : 489iter [00:46, 11.75iter/s]
Best score: 0.2645: : 489iter [00:46, 11.75iter/s]
Best score: 0.2645: : 490iter [00:46, 11.75iter/s]
Best score: 0.2645: : 491iter [00:46, 11.56iter/s]
Best score: 0.2645: : 491iter [00:46, 11.56iter/s]
Best score: 0.2645: : 492iter [00:46, 11.56iter/s]
Best score: 0.2645: : 493iter [00:46, 11.64iter/s]
Best score: 0.2645: : 493iter [00:46, 11.64iter/s]
Best score: 0.2645: : 494iter [00:47, 11.64iter/s]
Best score: 0.2645: : 495iter [00:47, 11.68iter/s]
Best score: 0.2645: : 495iter [00:47, 11.68iter/s]
Best score: 0.2645: : 496iter [00:47, 11.68iter/s]
Best score: 0.2645: : 497iter [00:47, 11.73iter/s]
Best score: 0.2645: : 497iter [00:47, 11.73iter/s]
Best score: 0.2645: : 498iter [00:47, 11.73iter/s]
Best score: 0.2645: : 499iter [00:47, 11.76iter/s]
[ITER 500] Best: 0.2645
[PARAMS] Current best parameters:
  fx: 535.6573
  fy: 535.6210
  px: 1027.0194
  py: 762.3109
  k1: 0.01373155
  k2: -0.03042445
  k3: 0.02094023
  k4: -0.00551200
  p1: -0.01427260
  p2: 0.01074477
  p3: 0.00696999
  p4: -0.00428118
  s1: -0.0182
  s2: 0.0006
  s3: 0.0099
  s4: 0.0012
  tilt_x: -0.0125
  tilt_y: 0.0420
  scale: 2.9866
  rotation: -0.3099

Best score: 0.2645: : 499iter [00:47, 11.76iter/s]
Best score: 0.2645: : 500iter [00:47, 11.76iter/s]
Best score: 0.2645: : 501iter [00:47,  7.54iter/s]
Best score: 0.2645: : 501iter [00:47,  7.54iter/s]
Best score: 0.2645: : 502iter [00:48,  7.54iter/s]
Best score: 0.2645: : 503iter [00:48,  8.45iter/s]
Best score: 0.2645: : 503iter [00:48,  8.45iter/s]
Best score: 0.2645: : 504iter [00:48,  8.45iter/s]
Best score: 0.2645: : 505iter [00:48,  9.25iter/s]
Best score: 0.2645: : 505iter [00:48,  9.25iter/s]
Best score: 0.2645: : 506iter [00:48,  9.25iter/s]
Best score: 0.2645: : 507iter [00:48,  9.88iter/s]
Best score: 0.2645: : 507iter [00:48,  9.88iter/s]
Best score: 0.2645: : 508iter [00:48,  9.88iter/s]
Best score: 0.2645: : 509iter [00:48, 10.40iter/s]
Best score: 0.2618: : 509iter [00:48, 10.40iter/s]
Best score: 0.2618: : 510iter [00:48, 10.40iter/s]
Best score: 0.2618: : 511iter [00:48, 10.60iter/s]
Best score: 0.2618: : 511iter [00:48, 10.60iter/s]
Best score: 0.2618: : 512iter [00:48, 10.60iter/s]
Best score: 0.2618: : 513iter [00:48, 10.94iter/s]
Best score: 0.2618: : 513iter [00:48, 10.94iter/s]
Best score: 0.2618: : 514iter [00:49, 10.94iter/s]
Best score: 0.2618: : 515iter [00:49, 11.16iter/s]
Best score: 0.2618: : 515iter [00:49, 11.16iter/s]
Best score: 0.2618: : 516iter [00:49, 11.16iter/s]
Best score: 0.2618: : 517iter [00:49, 11.36iter/s]
Best score: 0.2618: : 517iter [00:49, 11.36iter/s]
Best score: 0.2618: : 518iter [00:49, 11.36iter/s]
Best score: 0.2618: : 519iter [00:49, 11.45iter/s]
Best score: 0.2579: : 519iter [00:49, 11.45iter/s]
Best score: 0.2579: : 520iter [00:49, 11.45iter/s]
Best score: 0.2579: : 521iter [00:49, 11.37iter/s]
Best score: 0.2579: : 521iter [00:49, 11.37iter/s]
Best score: 0.2579: : 522iter [00:49, 11.37iter/s]
Best score: 0.2579: : 523iter [00:49, 11.49iter/s]
Best score: 0.2579: : 523iter [00:49, 11.49iter/s]
Best score: 0.2579: : 524iter [00:49, 11.49iter/s]
Best score: 0.2579: : 525iter [00:49, 11.58iter/s]
Best score: 0.2579: : 525iter [00:50, 11.58iter/s]
Best score: 0.2579: : 526iter [00:50, 11.58iter/s]
Best score: 0.2579: : 527iter [00:50, 11.65iter/s]
Best score: 0.2579: : 527iter [00:50, 11.65iter/s]
Best score: 0.2579: : 528iter [00:50, 11.65iter/s]
Best score: 0.2579: : 529iter [00:50, 11.69iter/s]
Best score: 0.2579: : 529iter [00:50, 11.69iter/s]
Best score: 0.2579: : 530iter [00:50, 11.69iter/s]
Best score: 0.2579: : 531iter [00:50, 11.53iter/s]
Best score: 0.2579: : 531iter [00:50, 11.53iter/s]
Best score: 0.2579: : 532iter [00:50, 11.53iter/s]
Best score: 0.2579: : 533iter [00:50, 11.60iter/s]
Best score: 0.2579: : 533iter [00:50, 11.60iter/s]
Best score: 0.2579: : 534iter [00:50, 11.60iter/s]
Best score: 0.2579: : 535iter [00:50, 11.66iter/s]
Best score: 0.2579: : 535iter [00:50, 11.66iter/s]
Best score: 0.2579: : 536iter [00:50, 11.66iter/s]
Best score: 0.2579: : 537iter [00:50, 11.69iter/s]
Best score: 0.2579: : 537iter [00:51, 11.69iter/s]
Best score: 0.2579: : 538iter [00:51, 11.69iter/s]
Best score: 0.2579: : 539iter [00:51, 11.73iter/s]
Best score: 0.2579: : 539iter [00:51, 11.73iter/s]
Best score: 0.2579: : 540iter [00:51, 11.73iter/s]
Best score: 0.2579: : 541iter [00:51, 11.56iter/s]
Best score: 0.2579: : 541iter [00:51, 11.56iter/s]
Best score: 0.2579: : 542iter [00:51, 11.56iter/s]
Best score: 0.2579: : 543iter [00:51, 11.64iter/s]
Best score: 0.2579: : 543iter [00:51, 11.64iter/s]
Best score: 0.2579: : 544iter [00:51, 11.64iter/s]
Best score: 0.2579: : 545iter [00:51, 11.69iter/s]
Best score: 0.2579: : 545iter [00:51, 11.69iter/s]
Best score: 0.2579: : 546iter [00:51, 11.69iter/s]
Best score: 0.2579: : 547iter [00:51, 11.72iter/s]
Best score: 0.2579: : 547iter [00:51, 11.72iter/s]
Best score: 0.2579: : 548iter [00:51, 11.72iter/s]
Best score: 0.2579: : 549iter [00:51, 11.70iter/s]
[ITER 550] Best: 0.2562
[PARAMS] Current best parameters:
  fx: 544.2718
  fy: 544.9683
  px: 1030.4295
  py: 762.4320
  k1: 0.00247837
  k2: -0.03238165
  k3: 0.02624522
  k4: -0.00731364
  p1: -0.00441798
  p2: 0.01835519
  p3: -0.00382207
  p4: -0.00155854
  s1: -0.0124
  s2: -0.0011
  s3: 0.0104
  s4: -0.0012
  tilt_x: -0.0331
  tilt_y: 0.0412
  scale: 2.9915
  rotation: -0.3061

Best score: 0.2562: : 549iter [00:52, 11.70iter/s]
Best score: 0.2562: : 550iter [00:52, 11.70iter/s]
Best score: 0.2562: : 551iter [00:52,  7.51iter/s]
Best score: 0.2562: : 551iter [00:52,  7.51iter/s]
Best score: 0.2562: : 552iter [00:52,  7.51iter/s]
Best score: 0.2562: : 553iter [00:52,  8.43iter/s]
Best score: 0.2562: : 553iter [00:52,  8.43iter/s]
Best score: 0.2562: : 554iter [00:52,  8.43iter/s]
Best score: 0.2562: : 555iter [00:52,  9.21iter/s]
Best score: 0.2562: : 555iter [00:52,  9.21iter/s]
Best score: 0.2562: : 556iter [00:52,  9.21iter/s]
Best score: 0.2562: : 557iter [00:52,  9.87iter/s]
Best score: 0.2562: : 557iter [00:53,  9.87iter/s]
Best score: 0.2562: : 558iter [00:53,  9.87iter/s]
Best score: 0.2562: : 559iter [00:53, 10.40iter/s]
Best score: 0.2527: : 559iter [00:53, 10.40iter/s]
Best score: 0.2527: : 560iter [00:53, 10.40iter/s]
Best score: 0.2527: : 561iter [00:53, 10.63iter/s]
Best score: 0.2527: : 561iter [00:53, 10.63iter/s]
Best score: 0.2527: : 562iter [00:53, 10.63iter/s]
Best score: 0.2527: : 563iter [00:53, 10.96iter/s]
Best score: 0.2527: : 563iter [00:53, 10.96iter/s]
Best score: 0.2527: : 564iter [00:53, 10.96iter/s]
Best score: 0.2527: : 565iter [00:53, 11.17iter/s]
Best score: 0.2527: : 565iter [00:53, 11.17iter/s]
Best score: 0.2527: : 566iter [00:53, 11.17iter/s]
Best score: 0.2527: : 567iter [00:53, 11.30iter/s]
Best score: 0.2527: : 567iter [00:53, 11.30iter/s]
Best score: 0.2527: : 568iter [00:54, 11.30iter/s]
Best score: 0.2527: : 569iter [00:54, 11.44iter/s]
Best score: 0.2504: : 569iter [00:54, 11.44iter/s]
Best score: 0.2504: : 570iter [00:54, 11.44iter/s]
Best score: 0.2504: : 571iter [00:54, 11.36iter/s]
Best score: 0.2504: : 571iter [00:54, 11.36iter/s]
Best score: 0.2504: : 572iter [00:54, 11.36iter/s]
Best score: 0.2504: : 573iter [00:54, 11.45iter/s]
Best score: 0.2504: : 573iter [00:54, 11.45iter/s]
Best score: 0.2504: : 574iter [00:54, 11.45iter/s]
Best score: 0.2504: : 575iter [00:54, 11.55iter/s]
Best score: 0.2504: : 575iter [00:54, 11.55iter/s]
Best score: 0.2504: : 576iter [00:54, 11.55iter/s]
Best score: 0.2504: : 577iter [00:54, 11.63iter/s]
Best score: 0.2504: : 577iter [00:54, 11.63iter/s]
Best score: 0.2504: : 578iter [00:54, 11.63iter/s]
Best score: 0.2504: : 579iter [00:54, 11.69iter/s]
Best score: 0.2502: : 579iter [00:54, 11.69iter/s]
Best score: 0.2502: : 580iter [00:55, 11.69iter/s]
Best score: 0.2502: : 581iter [00:55, 11.47iter/s]
Best score: 0.2502: : 581iter [00:55, 11.47iter/s]
Best score: 0.2502: : 582iter [00:55, 11.47iter/s]
Best score: 0.2502: : 583iter [00:55, 11.57iter/s]
Best score: 0.2502: : 583iter [00:55, 11.57iter/s]
Best score: 0.2502: : 584iter [00:55, 11.57iter/s]
Best score: 0.2502: : 585iter [00:55, 11.59iter/s]
Best score: 0.2502: : 585iter [00:55, 11.59iter/s]
Best score: 0.2502: : 586iter [00:55, 11.59iter/s]
Best score: 0.2502: : 587iter [00:55, 11.61iter/s]
Best score: 0.2502: : 587iter [00:55, 11.61iter/s]
Best score: 0.2502: : 588iter [00:55, 11.61iter/s]
Best score: 0.2502: : 589iter [00:55, 11.66iter/s]
Best score: 0.2447: : 589iter [00:55, 11.66iter/s]
Best score: 0.2447: : 590iter [00:55, 11.66iter/s]
Best score: 0.2447: : 591iter [00:55, 11.51iter/s]
Best score: 0.2447: : 591iter [00:56, 11.51iter/s]
Best score: 0.2447: : 592iter [00:56, 11.51iter/s]
Best score: 0.2447: : 593iter [00:56, 11.56iter/s]
Best score: 0.2447: : 593iter [00:56, 11.56iter/s]
Best score: 0.2447: : 594iter [00:56, 11.56iter/s]
Best score: 0.2447: : 595iter [00:56, 11.59iter/s]
Best score: 0.2447: : 595iter [00:56, 11.59iter/s]
Best score: 0.2447: : 596iter [00:56, 11.59iter/s]
Best score: 0.2447: : 597iter [00:56, 11.60iter/s]
Best score: 0.2447: : 597iter [00:56, 11.60iter/s]
Best score: 0.2447: : 598iter [00:56, 11.60iter/s]
Best score: 0.2447: : 599iter [00:56, 11.67iter/s]
[ITER 600] Best: 0.2437
[PARAMS] Current best parameters:
  fx: 546.5378
  fy: 546.6531
  px: 1030.3224
  py: 759.6725
  k1: -0.00022858
  k2: -0.02997660
  k3: 0.02409896
  k4: -0.00667445
  p1: -0.01393023
  p2: 0.01261384
  p3: -0.00737442
  p4: -0.00002950
  s1: -0.0028
  s2: -0.0030
  s3: 0.0212
  s4: -0.0036
  tilt_x: -0.0269
  tilt_y: 0.0301
  scale: 2.9871
  rotation: -0.3099

Best score: 0.2437: : 599iter [00:56, 11.67iter/s]
Best score: 0.2437: : 600iter [00:57, 11.67iter/s]
Best score: 0.2437: : 601iter [00:57,  7.52iter/s]
Best score: 0.2437: : 601iter [00:57,  7.52iter/s]
Best score: 0.2437: : 602iter [00:57,  7.52iter/s]
Best score: 0.2437: : 603iter [00:57,  8.44iter/s]
Best score: 0.2437: : 603iter [00:57,  8.44iter/s]
Best score: 0.2437: : 604iter [00:57,  8.44iter/s]
Best score: 0.2437: : 605iter [00:57,  9.23iter/s]
Best score: 0.2437: : 605iter [00:57,  9.23iter/s]
Best score: 0.2437: : 606iter [00:57,  9.23iter/s]
Best score: 0.2437: : 607iter [00:57,  9.84iter/s]
Best score: 0.2437: : 607iter [00:57,  9.84iter/s]
Best score: 0.2437: : 608iter [00:57,  9.84iter/s]
Best score: 0.2437: : 609iter [00:57, 10.38iter/s]
Best score: 0.2427: : 609iter [00:57, 10.38iter/s]
Best score: 0.2427: : 610iter [00:57, 10.38iter/s]
Best score: 0.2427: : 611iter [00:57, 10.60iter/s]
Best score: 0.2427: : 611iter [00:58, 10.60iter/s]
Best score: 0.2427: : 612iter [00:58, 10.60iter/s]
Best score: 0.2427: : 613iter [00:58, 10.94iter/s]
Best score: 0.2427: : 613iter [00:58, 10.94iter/s]
Best score: 0.2427: : 614iter [00:58, 10.94iter/s]
Best score: 0.2427: : 615iter [00:58, 11.20iter/s]
Best score: 0.2427: : 615iter [00:58, 11.20iter/s]
Best score: 0.2427: : 616iter [00:58, 11.20iter/s]
Best score: 0.2427: : 617iter [00:58, 11.38iter/s]
Best score: 0.2427: : 617iter [00:58, 11.38iter/s]
Best score: 0.2427: : 618iter [00:58, 11.38iter/s]
Best score: 0.2427: : 619iter [00:58, 11.51iter/s]
Best score: 0.2422: : 619iter [00:58, 11.51iter/s]
Best score: 0.2422: : 620iter [00:58, 11.51iter/s]
Best score: 0.2422: : 621iter [00:58, 11.41iter/s]
Best score: 0.2422: : 621iter [00:58, 11.41iter/s]
Best score: 0.2422: : 622iter [00:58, 11.41iter/s]
Best score: 0.2422: : 623iter [00:58, 11.53iter/s]
Best score: 0.2422: : 623iter [00:59, 11.53iter/s]
Best score: 0.2422: : 624iter [00:59, 11.53iter/s]
Best score: 0.2422: : 625iter [00:59, 11.61iter/s]
Best score: 0.2422: : 625iter [00:59, 11.61iter/s]
Best score: 0.2422: : 626iter [00:59, 11.61iter/s]
Best score: 0.2422: : 627iter [00:59, 11.68iter/s]
Best score: 0.2422: : 627iter [00:59, 11.68iter/s]
Best score: 0.2422: : 628iter [00:59, 11.68iter/s]
Best score: 0.2422: : 629iter [00:59, 11.73iter/s]
Best score: 0.2419: : 629iter [00:59, 11.73iter/s]
Best score: 0.2419: : 630iter [00:59, 11.73iter/s]
Best score: 0.2419: : 631iter [00:59, 11.56iter/s]
Best score: 0.2419: : 631iter [00:59, 11.56iter/s]
Best score: 0.2419: : 632iter [00:59, 11.56iter/s]
Best score: 0.2419: : 633iter [00:59, 11.57iter/s]
Best score: 0.2419: : 633iter [00:59, 11.57iter/s]
Best score: 0.2419: : 634iter [01:00, 11.57iter/s]
Best score: 0.2419: : 635iter [01:00, 11.63iter/s]
Best score: 0.2419: : 635iter [01:00, 11.63iter/s]
Best score: 0.2419: : 636iter [01:00, 11.63iter/s]
Best score: 0.2419: : 637iter [01:00, 11.70iter/s]
Best score: 0.2419: : 637iter [01:00, 11.70iter/s]
Best score: 0.2419: : 638iter [01:00, 11.70iter/s]
Best score: 0.2419: : 639iter [01:00, 11.73iter/s]
Best score: 0.2397: : 639iter [01:00, 11.73iter/s]
Best score: 0.2397: : 640iter [01:00, 11.73iter/s]
Best score: 0.2397: : 641iter [01:00, 11.54iter/s]
Best score: 0.2397: : 641iter [01:00, 11.54iter/s]
Best score: 0.2397: : 642iter [01:00, 11.54iter/s]
Best score: 0.2397: : 643iter [01:00, 11.61iter/s]
Best score: 0.2397: : 643iter [01:00, 11.61iter/s]
Best score: 0.2397: : 644iter [01:00, 11.61iter/s]
Best score: 0.2397: : 645iter [01:00, 11.66iter/s]
Best score: 0.2397: : 645iter [01:00, 11.66iter/s]
Best score: 0.2397: : 646iter [01:01, 11.66iter/s]
Best score: 0.2397: : 647iter [01:01, 11.70iter/s]
Best score: 0.2397: : 647iter [01:01, 11.70iter/s]
Best score: 0.2397: : 648iter [01:01, 11.70iter/s]
Best score: 0.2397: : 649iter [01:01, 11.74iter/s]
[ITER 650] Best: 0.2370
[PARAMS] Current best parameters:
  fx: 549.4789
  fy: 549.5035
  px: 1031.0322
  py: 758.5222
  k1: -0.00588737
  k2: -0.02650307
  k3: 0.02311425
  k4: -0.00666277
  p1: -0.01462454
  p2: 0.01183376
  p3: -0.01289769
  p4: 0.00240708
  s1: 0.0049
  s2: -0.0060
  s3: 0.0260
  s4: -0.0055
  tilt_x: -0.0320
  tilt_y: 0.0252
  scale: 2.9879
  rotation: -0.3116

Best score: 0.2370: : 649iter [01:01, 11.74iter/s]
Best score: 0.2370: : 650iter [01:01, 11.74iter/s]
Best score: 0.2370: : 651iter [01:01,  7.53iter/s]
Best score: 0.2370: : 651iter [01:01,  7.53iter/s]
Best score: 0.2370: : 652iter [01:01,  7.53iter/s]
Best score: 0.2370: : 653iter [01:01,  8.43iter/s]
Best score: 0.2370: : 653iter [01:01,  8.43iter/s]
Best score: 0.2370: : 654iter [01:02,  8.43iter/s]
Best score: 0.2370: : 655iter [01:02,  9.22iter/s]
Best score: 0.2370: : 655iter [01:02,  9.22iter/s]
Best score: 0.2370: : 656iter [01:02,  9.22iter/s]
Best score: 0.2370: : 657iter [01:02,  9.87iter/s]
Best score: 0.2370: : 657iter [01:02,  9.87iter/s]
Best score: 0.2370: : 658iter [01:02,  9.87iter/s]
Best score: 0.2370: : 659iter [01:02, 10.38iter/s]
Best score: 0.2308: : 659iter [01:02, 10.38iter/s]
Best score: 0.2308: : 660iter [01:02, 10.38iter/s]
Best score: 0.2308: : 661iter [01:02, 10.55iter/s]
Best score: 0.2308: : 661iter [01:02, 10.55iter/s]
Best score: 0.2308: : 662iter [01:02, 10.55iter/s]
Best score: 0.2308: : 663iter [01:02, 10.86iter/s]
Best score: 0.2308: : 663iter [01:02, 10.86iter/s]
Best score: 0.2308: : 664iter [01:02, 10.86iter/s]
Best score: 0.2308: : 665iter [01:02, 11.13iter/s]
Best score: 0.2308: : 665iter [01:02, 11.13iter/s]
Best score: 0.2308: : 666iter [01:03, 11.13iter/s]
Best score: 0.2308: : 667iter [01:03, 11.33iter/s]
Best score: 0.2308: : 667iter [01:03, 11.33iter/s]
Best score: 0.2308: : 668iter [01:03, 11.33iter/s]
Best score: 0.2308: : 669iter [01:03, 11.47iter/s]
Best score: 0.2231: : 669iter [01:03, 11.47iter/s]
Best score: 0.2231: : 670iter [01:03, 11.47iter/s]
Best score: 0.2231: : 671iter [01:03, 11.32iter/s]
Best score: 0.2231: : 671iter [01:03, 11.32iter/s]
Best score: 0.2231: : 672iter [01:03, 11.32iter/s]
Best score: 0.2231: : 673iter [01:03, 11.46iter/s]
Best score: 0.2231: : 673iter [01:03, 11.46iter/s]
Best score: 0.2231: : 674iter [01:03, 11.46iter/s]
Best score: 0.2231: : 675iter [01:03, 11.47iter/s]
Best score: 0.2231: : 675iter [01:03, 11.47iter/s]
Best score: 0.2231: : 676iter [01:03, 11.47iter/s]
Best score: 0.2231: : 677iter [01:03, 11.52iter/s]
Best score: 0.2231: : 677iter [01:04, 11.52iter/s]
Best score: 0.2231: : 678iter [01:04, 11.52iter/s]
Best score: 0.2231: : 679iter [01:04, 11.61iter/s]
Best score: 0.2231: : 679iter [01:04, 11.61iter/s]
Best score: 0.2231: : 680iter [01:04, 11.61iter/s]
Best score: 0.2231: : 681iter [01:04, 11.48iter/s]
Best score: 0.2231: : 681iter [01:04, 11.48iter/s]
Best score: 0.2231: : 682iter [01:04, 11.48iter/s]
Best score: 0.2231: : 683iter [01:04, 11.57iter/s]
Best score: 0.2231: : 683iter [01:04, 11.57iter/s]
Best score: 0.2231: : 684iter [01:04, 11.57iter/s]
Best score: 0.2231: : 685iter [01:04, 11.65iter/s]
Best score: 0.2231: : 685iter [01:04, 11.65iter/s]
Best score: 0.2231: : 686iter [01:04, 11.65iter/s]
Best score: 0.2231: : 687iter [01:04, 11.69iter/s]
Best score: 0.2231: : 687iter [01:04, 11.69iter/s]
Best score: 0.2231: : 688iter [01:04, 11.69iter/s]
Best score: 0.2231: : 689iter [01:04, 11.72iter/s]
Best score: 0.2231: : 689iter [01:05, 11.72iter/s]
Best score: 0.2231: : 690iter [01:05, 11.72iter/s]
Best score: 0.2231: : 691iter [01:05, 11.56iter/s]
Best score: 0.2231: : 691iter [01:05, 11.56iter/s]
Best score: 0.2231: : 692iter [01:05, 11.56iter/s]
Best score: 0.2231: : 693iter [01:05, 11.60iter/s]
Best score: 0.2231: : 693iter [01:05, 11.60iter/s]
Best score: 0.2231: : 694iter [01:05, 11.60iter/s]
Best score: 0.2231: : 695iter [01:05, 11.67iter/s]
Best score: 0.2231: : 695iter [01:05, 11.67iter/s]
Best score: 0.2231: : 696iter [01:05, 11.67iter/s]
Best score: 0.2231: : 697iter [01:05, 11.70iter/s]
Best score: 0.2231: : 697iter [01:05, 11.70iter/s]
Best score: 0.2231: : 698iter [01:05, 11.70iter/s]
Best score: 0.2231: : 699iter [01:05, 11.70iter/s]
[ITER 700] Best: 0.2194
[PARAMS] Current best parameters:
  fx: 553.1921
  fy: 553.2407
  px: 1031.3172
  py: 755.9416
  k1: -0.02296711
  k2: -0.00425453
  k3: 0.00944267
  k4: -0.00352666
  p1: -0.01550349
  p2: 0.00716073
  p3: -0.02096959
  p4: 0.00839384
  s1: 0.0187
  s2: -0.0129
  s3: 0.0308
  s4: -0.0104
  tilt_x: -0.0429
  tilt_y: 0.0144
  scale: 3.0001
  rotation: -0.3145

Best score: 0.2194: : 699iter [01:05, 11.70iter/s]
Best score: 0.2194: : 700iter [01:06, 11.70iter/s]
Best score: 0.2194: : 701iter [01:06,  7.52iter/s]
Best score: 0.2194: : 701iter [01:06,  7.52iter/s]
Best score: 0.2194: : 702iter [01:06,  7.52iter/s]
Best score: 0.2194: : 703iter [01:06,  8.45iter/s]
Best score: 0.2194: : 703iter [01:06,  8.45iter/s]
Best score: 0.2194: : 704iter [01:06,  8.45iter/s]
Best score: 0.2194: : 705iter [01:06,  9.25iter/s]
Best score: 0.2194: : 705iter [01:06,  9.25iter/s]
Best score: 0.2194: : 706iter [01:06,  9.25iter/s]
Best score: 0.2194: : 707iter [01:06,  9.89iter/s]
Best score: 0.2194: : 707iter [01:06,  9.89iter/s]
Best score: 0.2194: : 708iter [01:06,  9.89iter/s]
Best score: 0.2194: : 709iter [01:06, 10.40iter/s]
Best score: 0.2194: : 709iter [01:07, 10.40iter/s]
Best score: 0.2194: : 710iter [01:07, 10.40iter/s]
Best score: 0.2194: : 711iter [01:07, 10.62iter/s]
Best score: 0.2194: : 711iter [01:07, 10.62iter/s]
Best score: 0.2194: : 712iter [01:07, 10.62iter/s]
Best score: 0.2194: : 713iter [01:07, 10.96iter/s]
Best score: 0.2194: : 713iter [01:07, 10.96iter/s]
Best score: 0.2194: : 714iter [01:07, 10.96iter/s]
Best score: 0.2194: : 715iter [01:07, 11.22iter/s]
Best score: 0.2194: : 715iter [01:07, 11.22iter/s]
Best score: 0.2194: : 716iter [01:07, 11.22iter/s]
Best score: 0.2194: : 717iter [01:07, 11.36iter/s]
Best score: 0.2194: : 717iter [01:07, 11.36iter/s]
Best score: 0.2194: : 718iter [01:07, 11.36iter/s]
Best score: 0.2194: : 719iter [01:07, 11.50iter/s]
Best score: 0.2191: : 719iter [01:07, 11.50iter/s]
Best score: 0.2191: : 720iter [01:08, 11.50iter/s]
Best score: 0.2191: : 721iter [01:08, 11.40iter/s]
Best score: 0.2191: : 721iter [01:08, 11.40iter/s]
Best score: 0.2191: : 722iter [01:08, 11.40iter/s]
Best score: 0.2191: : 723iter [01:08, 11.53iter/s]
Best score: 0.2191: : 723iter [01:08, 11.53iter/s]
Best score: 0.2191: : 724iter [01:08, 11.53iter/s]
Best score: 0.2191: : 725iter [01:08, 11.61iter/s]
Best score: 0.2191: : 725iter [01:08, 11.61iter/s]
Best score: 0.2191: : 726iter [01:08, 11.61iter/s]
Best score: 0.2191: : 727iter [01:08, 11.69iter/s]
Best score: 0.2191: : 727iter [01:08, 11.69iter/s]
Best score: 0.2191: : 728iter [01:08, 11.69iter/s]
Best score: 0.2191: : 729iter [01:08, 11.72iter/s]
Best score: 0.2185: : 729iter [01:08, 11.72iter/s]
Best score: 0.2185: : 730iter [01:08, 11.72iter/s]
Best score: 0.2185: : 731iter [01:08, 11.55iter/s]
Best score: 0.2185: : 731iter [01:08, 11.55iter/s]
Best score: 0.2185: : 732iter [01:09, 11.55iter/s]
Best score: 0.2185: : 733iter [01:09, 11.63iter/s]
Best score: 0.2185: : 733iter [01:09, 11.63iter/s]
Best score: 0.2185: : 734iter [01:09, 11.63iter/s]
Best score: 0.2185: : 735iter [01:09, 11.70iter/s]
Best score: 0.2185: : 735iter [01:09, 11.70iter/s]
Best score: 0.2185: : 736iter [01:09, 11.70iter/s]
Best score: 0.2185: : 737iter [01:09, 11.75iter/s]
Best score: 0.2185: : 737iter [01:09, 11.75iter/s]
Best score: 0.2185: : 738iter [01:09, 11.75iter/s]
Best score: 0.2185: : 739iter [01:09, 11.77iter/s]
Best score: 0.2165: : 739iter [01:09, 11.77iter/s]
Best score: 0.2165: : 740iter [01:09, 11.77iter/s]
Best score: 0.2165: : 741iter [01:09, 11.59iter/s]
Best score: 0.2165: : 741iter [01:09, 11.59iter/s]
Best score: 0.2165: : 742iter [01:09, 11.59iter/s]
Best score: 0.2165: : 743iter [01:09, 11.67iter/s]
Best score: 0.2165: : 743iter [01:09, 11.67iter/s]
Best score: 0.2165: : 744iter [01:10, 11.67iter/s]
Best score: 0.2165: : 745iter [01:10, 11.71iter/s]
Best score: 0.2165: : 745iter [01:10, 11.71iter/s]
Best score: 0.2165: : 746iter [01:10, 11.71iter/s]
Best score: 0.2165: : 747iter [01:10, 11.76iter/s]
Best score: 0.2165: : 747iter [01:10, 11.76iter/s]
Best score: 0.2165: : 748iter [01:10, 11.76iter/s]
Best score: 0.2165: : 749iter [01:10, 11.72iter/s]
[ITER 750] Best: 0.2149
[PARAMS] Current best parameters:
  fx: 553.4277
  fy: 553.6013
  px: 1031.5037
  py: 755.9403
  k1: -0.03476499
  k2: 0.01647017
  k3: -0.00410510
  k4: -0.00041796
  p1: -0.01491322
  p2: 0.00611450
  p3: -0.01989922
  p4: 0.00913118
  s1: 0.0188
  s2: -0.0137
  s3: 0.0287
  s4: -0.0107
  tilt_x: -0.0441
  tilt_y: 0.0110
  scale: 3.0089
  rotation: -0.3135

Best score: 0.2149: : 749iter [01:10, 11.72iter/s]
Best score: 0.2149: : 750iter [01:10, 11.72iter/s]
Best score: 0.2149: : 751iter [01:10,  7.52iter/s]
Best score: 0.2149: : 751iter [01:10,  7.52iter/s]
Best score: 0.2149: : 752iter [01:11,  7.52iter/s]
Best score: 0.2149: : 753iter [01:11,  8.45iter/s]
Best score: 0.2149: : 753iter [01:11,  8.45iter/s]
Best score: 0.2149: : 754iter [01:11,  8.45iter/s]
Best score: 0.2149: : 755iter [01:11,  9.24iter/s]
Best score: 0.2149: : 755iter [01:11,  9.24iter/s]
Best score: 0.2149: : 756iter [01:11,  9.24iter/s]
Best score: 0.2149: : 757iter [01:11,  9.89iter/s]
Best score: 0.2149: : 757iter [01:11,  9.89iter/s]
Best score: 0.2149: : 758iter [01:11,  9.89iter/s]
Best score: 0.2149: : 759iter [01:11, 10.41iter/s]
Best score: 0.2148: : 759iter [01:11, 10.41iter/s]
Best score: 0.2148: : 760iter [01:11, 10.41iter/s]
Best score: 0.2148: : 761iter [01:11, 10.62iter/s]
Best score: 0.2148: : 761iter [01:11, 10.62iter/s]
Best score: 0.2148: : 762iter [01:11, 10.62iter/s]
Best score: 0.2148: : 763iter [01:11, 10.95iter/s]
Best score: 0.2148: : 763iter [01:11, 10.95iter/s]
Best score: 0.2148: : 764iter [01:12, 10.95iter/s]
Best score: 0.2148: : 765iter [01:12, 11.20iter/s]
Best score: 0.2148: : 765iter [01:12, 11.20iter/s]
Best score: 0.2148: : 766iter [01:12, 11.20iter/s]
Best score: 0.2148: : 767iter [01:12, 11.38iter/s]
Best score: 0.2148: : 767iter [01:12, 11.38iter/s]
Best score: 0.2148: : 768iter [01:12, 11.38iter/s]
Best score: 0.2148: : 769iter [01:12, 11.51iter/s]
Best score: 0.2148: : 769iter [01:12, 11.51iter/s]
Best score: 0.2148: : 770iter [01:12, 11.51iter/s]
Best score: 0.2148: : 771iter [01:12, 11.40iter/s]
Best score: 0.2148: : 771iter [01:12, 11.40iter/s]
Best score: 0.2148: : 772iter [01:12, 11.40iter/s]
Best score: 0.2148: : 773iter [01:12, 11.53iter/s]
Best score: 0.2148: : 773iter [01:12, 11.53iter/s]
Best score: 0.2148: : 774iter [01:12, 11.53iter/s]
Best score: 0.2148: : 775iter [01:12, 11.61iter/s]
Best score: 0.2148: : 775iter [01:13, 11.61iter/s]
Best score: 0.2148: : 776iter [01:13, 11.61iter/s]
Best score: 0.2148: : 777iter [01:13, 11.65iter/s]
Best score: 0.2148: : 777iter [01:13, 11.65iter/s]
Best score: 0.2148: : 778iter [01:13, 11.65iter/s]
Best score: 0.2148: : 779iter [01:13, 11.68iter/s]
Best score: 0.2147: : 779iter [01:13, 11.68iter/s]
Best score: 0.2147: : 780iter [01:13, 11.68iter/s]
Best score: 0.2147: : 781iter [01:13, 11.51iter/s]
Best score: 0.2147: : 781iter [01:13, 11.51iter/s]
Best score: 0.2147: : 782iter [01:13, 11.51iter/s]
Best score: 0.2147: : 783iter [01:13, 11.60iter/s]
Best score: 0.2147: : 783iter [01:13, 11.60iter/s]
Best score: 0.2147: : 784iter [01:13, 11.60iter/s]
Best score: 0.2147: : 785iter [01:13, 11.66iter/s]
Best score: 0.2147: : 785iter [01:13, 11.66iter/s]
Best score: 0.2147: : 786iter [01:13, 11.66iter/s]
Best score: 0.2147: : 787iter [01:13, 11.72iter/s]
Best score: 0.2147: : 787iter [01:14, 11.72iter/s]
Best score: 0.2147: : 788iter [01:14, 11.72iter/s]
Best score: 0.2147: : 789iter [01:14, 11.73iter/s]
Best score: 0.2115: : 789iter [01:14, 11.73iter/s]
Best score: 0.2115: : 790iter [01:14, 11.73iter/s]
Best score: 0.2115: : 791iter [01:14, 11.54iter/s]
Best score: 0.2115: : 791iter [01:14, 11.54iter/s]
Best score: 0.2115: : 792iter [01:14, 11.54iter/s]
Best score: 0.2115: : 793iter [01:14, 11.61iter/s]
Best score: 0.2115: : 793iter [01:14, 11.61iter/s]
Best score: 0.2115: : 794iter [01:14, 11.61iter/s]
Best score: 0.2115: : 795iter [01:14, 11.60iter/s]
Best score: 0.2115: : 795iter [01:14, 11.60iter/s]
Best score: 0.2115: : 796iter [01:14, 11.60iter/s]
Best score: 0.2115: : 797iter [01:14, 11.59iter/s]
Best score: 0.2115: : 797iter [01:14, 11.59iter/s]
Best score: 0.2115: : 798iter [01:14, 11.59iter/s]
Best score: 0.2115: : 799iter [01:14, 11.66iter/s]
[ITER 800] Best: 0.2104
[PARAMS] Current best parameters:
  fx: 552.4889
  fy: 552.7072
  px: 1033.5331
  py: 756.2738
  k1: -0.05045582
  k2: 0.04655577
  k3: -0.02408533
  k4: 0.00418678
  p1: -0.01487085
  p2: 0.00824699
  p3: -0.01339939
  p4: 0.00603898
  s1: 0.0122
  s2: -0.0107
  s3: 0.0220
  s4: -0.0069
  tilt_x: -0.0422
  tilt_y: 0.0053
  scale: 3.0221
  rotation: -0.2889

Best score: 0.2104: : 799iter [01:15, 11.66iter/s]
Best score: 0.2104: : 800iter [01:15, 11.66iter/s]
Best score: 0.2104: : 801iter [01:15,  7.50iter/s]
Best score: 0.2104: : 801iter [01:15,  7.50iter/s]
Best score: 0.2104: : 802iter [01:15,  7.50iter/s]
Best score: 0.2104: : 803iter [01:15,  8.40iter/s]
Best score: 0.2104: : 803iter [01:15,  8.40iter/s]
Best score: 0.2104: : 804iter [01:15,  8.40iter/s]
Best score: 0.2104: : 805iter [01:15,  9.20iter/s]
Best score: 0.2104: : 805iter [01:15,  9.20iter/s]
Best score: 0.2104: : 806iter [01:15,  9.20iter/s]
Best score: 0.2104: : 807iter [01:15,  9.86iter/s]
Best score: 0.2104: : 807iter [01:16,  9.86iter/s]
Best score: 0.2104: : 808iter [01:16,  9.86iter/s]
Best score: 0.2104: : 809iter [01:16, 10.37iter/s]
Best score: 0.2104: : 809iter [01:16, 10.37iter/s]
Best score: 0.2104: : 810iter [01:16, 10.37iter/s]
Best score: 0.2104: : 811iter [01:16, 10.60iter/s]
Best score: 0.2104: : 811iter [01:16, 10.60iter/s]
Best score: 0.2104: : 812iter [01:16, 10.60iter/s]
Best score: 0.2104: : 813iter [01:16, 10.94iter/s]
Best score: 0.2104: : 813iter [01:16, 10.94iter/s]
Best score: 0.2104: : 814iter [01:16, 10.94iter/s]
Best score: 0.2104: : 815iter [01:16, 11.18iter/s]
Best score: 0.2104: : 815iter [01:16, 11.18iter/s]
Best score: 0.2104: : 816iter [01:16, 11.18iter/s]
Best score: 0.2104: : 817iter [01:16, 11.34iter/s]
Best score: 0.2104: : 817iter [01:16, 11.34iter/s]
Best score: 0.2104: : 818iter [01:17, 11.34iter/s]
Best score: 0.2104: : 819iter [01:17, 11.47iter/s]
Best score: 0.2093: : 819iter [01:17, 11.47iter/s]
Best score: 0.2093: : 820iter [01:17, 11.47iter/s]
Best score: 0.2093: : 821iter [01:17, 11.38iter/s]
Best score: 0.2093: : 821iter [01:17, 11.38iter/s]
Best score: 0.2093: : 822iter [01:17, 11.38iter/s]
Best score: 0.2093: : 823iter [01:17, 11.50iter/s]
Best score: 0.2093: : 823iter [01:17, 11.50iter/s]
Best score: 0.2093: : 824iter [01:17, 11.50iter/s]
Best score: 0.2093: : 825iter [01:17, 11.60iter/s]
Best score: 0.2093: : 825iter [01:17, 11.60iter/s]
Best score: 0.2093: : 826iter [01:17, 11.60iter/s]
Best score: 0.2093: : 827iter [01:17, 11.63iter/s]
Best score: 0.2093: : 827iter [01:17, 11.63iter/s]
Best score: 0.2093: : 828iter [01:17, 11.63iter/s]
Best score: 0.2093: : 829iter [01:17, 11.68iter/s]
Best score: 0.2093: : 829iter [01:17, 11.68iter/s]
Best score: 0.2093: : 830iter [01:18, 11.68iter/s]
Best score: 0.2093: : 831iter [01:18, 11.51iter/s]
Best score: 0.2093: : 831iter [01:18, 11.51iter/s]
Best score: 0.2093: : 832iter [01:18, 11.51iter/s]
Best score: 0.2093: : 833iter [01:18, 11.56iter/s]
Best score: 0.2093: : 833iter [01:18, 11.56iter/s]
Best score: 0.2093: : 834iter [01:18, 11.56iter/s]
Best score: 0.2093: : 835iter [01:18, 11.59iter/s]
Best score: 0.2093: : 835iter [01:18, 11.59iter/s]
Best score: 0.2093: : 836iter [01:18, 11.59iter/s]
Best score: 0.2093: : 837iter [01:18, 11.66iter/s]
Best score: 0.2093: : 837iter [01:18, 11.66iter/s]
Best score: 0.2093: : 838iter [01:18, 11.66iter/s]
Best score: 0.2093: : 839iter [01:18, 11.72iter/s]
Best score: 0.2093: : 839iter [01:18, 11.72iter/s]
Best score: 0.2093: : 840iter [01:18, 11.72iter/s]
Best score: 0.2093: : 841iter [01:18, 11.55iter/s]
Best score: 0.2093: : 841iter [01:19, 11.55iter/s]
Best score: 0.2093: : 842iter [01:19, 11.55iter/s]
Best score: 0.2093: : 843iter [01:19, 11.64iter/s]
Best score: 0.2093: : 843iter [01:19, 11.64iter/s]
Best score: 0.2093: : 844iter [01:19, 11.64iter/s]
Best score: 0.2093: : 845iter [01:19, 11.71iter/s]
Best score: 0.2093: : 845iter [01:19, 11.71iter/s]
Best score: 0.2093: : 846iter [01:19, 11.71iter/s]
Best score: 0.2093: : 847iter [01:19, 11.75iter/s]
Best score: 0.2093: : 847iter [01:19, 11.75iter/s]
Best score: 0.2093: : 848iter [01:19, 11.75iter/s]
Best score: 0.2093: : 849iter [01:19, 11.77iter/s]
[ITER 850] Best: 0.2090
[PARAMS] Current best parameters:
  fx: 552.7529
  fy: 552.8581
  px: 1032.2308
  py: 755.0548
  k1: -0.05093036
  k2: 0.04688311
  k3: -0.02421663
  k4: 0.00421217
  p1: -0.01759037
  p2: 0.00641061
  p3: -0.01176620
  p4: 0.00567712
  s1: 0.0113
  s2: -0.0107
  s3: 0.0218
  s4: -0.0062
  tilt_x: -0.0430
  tilt_y: 0.0080
  scale: 3.0219
  rotation: -0.3053

Best score: 0.2090: : 849iter [01:19, 11.77iter/s]
Best score: 0.2090: : 850iter [01:20, 11.77iter/s]
Best score: 0.2090: : 851iter [01:20,  7.48iter/s]
Best score: 0.2090: : 851iter [01:20,  7.48iter/s]
Best score: 0.2090: : 852iter [01:20,  7.48iter/s]
Best score: 0.2090: : 853iter [01:20,  8.40iter/s]
Best score: 0.2090: : 853iter [01:20,  8.40iter/s]
Best score: 0.2090: : 854iter [01:20,  8.40iter/s]
Best score: 0.2090: : 855iter [01:20,  9.20iter/s]
Best score: 0.2090: : 855iter [01:20,  9.20iter/s]
Best score: 0.2090: : 856iter [01:20,  9.20iter/s]
Best score: 0.2090: : 857iter [01:20,  9.86iter/s]
Best score: 0.2090: : 857iter [01:20,  9.86iter/s]
Best score: 0.2090: : 858iter [01:20,  9.86iter/s]
Best score: 0.2090: : 859iter [01:20, 10.37iter/s]
Best score: 0.2087: : 859iter [01:20, 10.37iter/s]
Best score: 0.2087: : 860iter [01:20, 10.37iter/s]
Best score: 0.2087: : 861iter [01:20, 10.59iter/s]
Best score: 0.2087: : 861iter [01:21, 10.59iter/s]
Best score: 0.2087: : 862iter [01:21, 10.59iter/s]
Best score: 0.2087: : 863iter [01:21, 10.86iter/s]
Best score: 0.2087: : 863iter [01:21, 10.86iter/s]
Best score: 0.2087: : 864iter [01:21, 10.86iter/s]
Best score: 0.2087: : 865iter [01:21, 11.10iter/s]
Best score: 0.2087: : 865iter [01:21, 11.10iter/s]
Best score: 0.2087: : 866iter [01:21, 11.10iter/s]
Best score: 0.2087: : 867iter [01:21, 11.31iter/s]
Best score: 0.2087: : 867iter [01:21, 11.31iter/s]
Best score: 0.2087: : 868iter [01:21, 11.31iter/s]
Best score: 0.2087: : 869iter [01:21, 11.41iter/s]
Best score: 0.2087: : 869iter [01:21, 11.41iter/s]
Best score: 0.2087: : 870iter [01:21, 11.41iter/s]
Best score: 0.2087: : 871iter [01:21, 11.27iter/s]
Best score: 0.2087: : 871iter [01:21, 11.27iter/s]
Best score: 0.2087: : 872iter [01:21, 11.27iter/s]
Best score: 0.2087: : 873iter [01:21, 11.43iter/s]
Best score: 0.2087: : 873iter [01:22, 11.43iter/s]
Best score: 0.2087: : 874iter [01:22, 11.43iter/s]
Best score: 0.2087: : 875iter [01:22, 11.54iter/s]
Best score: 0.2087: : 875iter [01:22, 11.54iter/s]
Best score: 0.2087: : 876iter [01:22, 11.54iter/s]
Best score: 0.2087: : 877iter [01:22, 11.62iter/s]
Best score: 0.2087: : 877iter [01:22, 11.62iter/s]
Best score: 0.2087: : 878iter [01:22, 11.62iter/s]
Best score: 0.2087: : 879iter [01:22, 11.68iter/s]
Best score: 0.2087: : 879iter [01:22, 11.68iter/s]
Best score: 0.2087: : 880iter [01:22, 11.68iter/s]
Best score: 0.2087: : 881iter [01:22, 11.51iter/s]
Best score: 0.2087: : 881iter [01:22, 11.51iter/s]
Best score: 0.2087: : 882iter [01:22, 11.51iter/s]
Best score: 0.2087: : 883iter [01:22, 11.58iter/s]
Best score: 0.2087: : 883iter [01:22, 11.58iter/s]
Best score: 0.2087: : 884iter [01:23, 11.58iter/s]
Best score: 0.2087: : 885iter [01:23, 11.64iter/s]
Best score: 0.2087: : 885iter [01:23, 11.64iter/s]
Best score: 0.2087: : 886iter [01:23, 11.64iter/s]
Best score: 0.2087: : 887iter [01:23, 11.70iter/s]
Best score: 0.2087: : 887iter [01:23, 11.70iter/s]
Best score: 0.2087: : 888iter [01:23, 11.70iter/s]
Best score: 0.2087: : 889iter [01:23, 11.74iter/s]
Best score: 0.2080: : 889iter [01:23, 11.74iter/s]
Best score: 0.2080: : 890iter [01:23, 11.74iter/s]
Best score: 0.2080: : 891iter [01:23, 11.56iter/s]
Best score: 0.2080: : 891iter [01:23, 11.56iter/s]
Best score: 0.2080: : 892iter [01:23, 11.56iter/s]
Best score: 0.2080: : 893iter [01:23, 11.59iter/s]
Best score: 0.2080: : 893iter [01:23, 11.59iter/s]
Best score: 0.2080: : 894iter [01:23, 11.59iter/s]
Best score: 0.2080: : 895iter [01:23, 11.62iter/s]
Best score: 0.2080: : 895iter [01:23, 11.62iter/s]
Best score: 0.2080: : 896iter [01:24, 11.62iter/s]
Best score: 0.2080: : 897iter [01:24, 11.69iter/s]
Best score: 0.2080: : 897iter [01:24, 11.69iter/s]
Best score: 0.2080: : 898iter [01:24, 11.69iter/s]
Best score: 0.2080: : 899iter [01:24, 11.72iter/s]
[ITER 900] Best: 0.2080
[PARAMS] Current best parameters:
  fx: 550.9069
  fy: 551.1777
  px: 1032.7212
  py: 755.2343
  k1: -0.04569935
  k2: 0.04091925
  k3: -0.02053605
  k4: 0.00336095
  p1: -0.01560502
  p2: 0.00772664
  p3: -0.01326827
  p4: 0.00620378
  s1: 0.0116
  s2: -0.0105
  s3: 0.0220
  s4: -0.0075
  tilt_x: -0.0456
  tilt_y: 0.0086
  scale: 3.0205
  rotation: -0.3018

Best score: 0.2080: : 899iter [01:24, 11.72iter/s]
Best score: 0.2080: : 900iter [01:24, 11.72iter/s]
Best score: 0.2080: : 901iter [01:24,  7.46iter/s]
Best score: 0.2080: : 901iter [01:24,  7.46iter/s]
Best score: 0.2080: : 902iter [01:24,  7.46iter/s]
Best score: 0.2080: : 903iter [01:24,  8.40iter/s]
Best score: 0.2080: : 903iter [01:24,  8.40iter/s]
Best score: 0.2080: : 904iter [01:25,  8.40iter/s]
Best score: 0.2080: : 905iter [01:25,  9.20iter/s]
Best score: 0.2080: : 905iter [01:25,  9.20iter/s]
Best score: 0.2080: : 906iter [01:25,  9.20iter/s]
Best score: 0.2080: : 907iter [01:25,  9.85iter/s]
Best score: 0.2080: : 907iter [01:25,  9.85iter/s]
Best score: 0.2080: : 908iter [01:25,  9.85iter/s]
Best score: 0.2080: : 909iter [01:25, 10.36iter/s]
Best score: 0.2077: : 909iter [01:25, 10.36iter/s]
Best score: 0.2077: : 910iter [01:25, 10.36iter/s]
Best score: 0.2077: : 911iter [01:25, 10.59iter/s]
Best score: 0.2077: : 911iter [01:25, 10.59iter/s]
Best score: 0.2077: : 912iter [01:25, 10.59iter/s]
Best score: 0.2077: : 913iter [01:25, 10.92iter/s]
Best score: 0.2077: : 913iter [01:25, 10.92iter/s]
Best score: 0.2077: : 914iter [01:25, 10.92iter/s]
Best score: 0.2077: : 915iter [01:25, 11.13iter/s]
Best score: 0.2077: : 915iter [01:25, 11.13iter/s]
Best score: 0.2077: : 916iter [01:26, 11.13iter/s]
Best score: 0.2077: : 917iter [01:26, 11.32iter/s]
Best score: 0.2077: : 917iter [01:26, 11.32iter/s]
Best score: 0.2077: : 918iter [01:26, 11.32iter/s]
Best score: 0.2077: : 919iter [01:26, 11.41iter/s]
Best score: 0.2077: : 919iter [01:26, 11.41iter/s]
Best score: 0.2077: : 920iter [01:26, 11.41iter/s]
Best score: 0.2077: : 921iter [01:26, 11.34iter/s]
Best score: 0.2077: : 921iter [01:26, 11.34iter/s]
Best score: 0.2077: : 922iter [01:26, 11.34iter/s]
Best score: 0.2077: : 923iter [01:26, 11.46iter/s]
Best score: 0.2077: : 923iter [01:26, 11.46iter/s]
Best score: 0.2077: : 924iter [01:26, 11.46iter/s]
Best score: 0.2077: : 925iter [01:26, 11.56iter/s]
Best score: 0.2077: : 925iter [01:26, 11.56iter/s]
Best score: 0.2077: : 926iter [01:26, 11.56iter/s]
Best score: 0.2077: : 927iter [01:26, 11.64iter/s]
Best score: 0.2077: : 927iter [01:27, 11.64iter/s]
Best score: 0.2077: : 928iter [01:27, 11.64iter/s]
Best score: 0.2077: : 929iter [01:27, 11.70iter/s]
Best score: 0.2074: : 929iter [01:27, 11.70iter/s]
Best score: 0.2074: : 930iter [01:27, 11.70iter/s]
Best score: 0.2074: : 931iter [01:27, 11.55iter/s]
Best score: 0.2074: : 931iter [01:27, 11.55iter/s]
Best score: 0.2074: : 932iter [01:27, 11.55iter/s]
Best score: 0.2074: : 933iter [01:27, 11.63iter/s]
Best score: 0.2074: : 933iter [01:27, 11.63iter/s]
Best score: 0.2074: : 934iter [01:27, 11.63iter/s]
Best score: 0.2074: : 935iter [01:27, 11.69iter/s]
Best score: 0.2074: : 935iter [01:27, 11.69iter/s]
Best score: 0.2074: : 936iter [01:27, 11.69iter/s]
Best score: 0.2074: : 937iter [01:27, 11.73iter/s]
Best score: 0.2074: : 937iter [01:27, 11.73iter/s]
Best score: 0.2074: : 938iter [01:27, 11.73iter/s]
Best score: 0.2074: : 939iter [01:27, 11.75iter/s]
Best score: 0.2071: : 939iter [01:28, 11.75iter/s]
Best score: 0.2071: : 940iter [01:28, 11.75iter/s]
Best score: 0.2071: : 941iter [01:28, 11.58iter/s]
Best score: 0.2071: : 941iter [01:28, 11.58iter/s]
Best score: 0.2071: : 942iter [01:28, 11.58iter/s]
Best score: 0.2071: : 943iter [01:28, 11.65iter/s]
Best score: 0.2071: : 943iter [01:28, 11.65iter/s]
Best score: 0.2071: : 944iter [01:28, 11.65iter/s]
Best score: 0.2071: : 945iter [01:28, 11.65iter/s]
Best score: 0.2071: : 945iter [01:28, 11.65iter/s]
Best score: 0.2071: : 946iter [01:28, 11.65iter/s]
Best score: 0.2071: : 947iter [01:28, 11.71iter/s]
Best score: 0.2071: : 947iter [01:28, 11.71iter/s]
Best score: 0.2071: : 948iter [01:28, 11.71iter/s]
Best score: 0.2071: : 949iter [01:28, 11.75iter/s]
[ITER 950] Best: 0.2070
[PARAMS] Current best parameters:
  fx: 549.6750
  fy: 549.8790
  px: 1033.3798
  py: 754.8956
  k1: -0.04493301
  k2: 0.04218928
  k3: -0.02162171
  k4: 0.00361830
  p1: -0.01654529
  p2: 0.00769279
  p3: -0.01226840
  p4: 0.00551337
  s1: 0.0119
  s2: -0.0103
  s3: 0.0216
  s4: -0.0066
  tilt_x: -0.0454
  tilt_y: 0.0054
  scale: 3.0202
  rotation: -0.2965

Best score: 0.2070: : 949iter [01:28, 11.75iter/s]
Best score: 0.2070: : 950iter [01:29, 11.75iter/s]
Best score: 0.2070: : 951iter [01:29,  7.53iter/s]
Best score: 0.2070: : 951iter [01:29,  7.53iter/s]
Best score: 0.2070: : 952iter [01:29,  7.53iter/s]
Best score: 0.2070: : 953iter [01:29,  8.44iter/s]
Best score: 0.2070: : 953iter [01:29,  8.44iter/s]
Best score: 0.2070: : 954iter [01:29,  8.44iter/s]
Best score: 0.2070: : 955iter [01:29,  9.20iter/s]
Best score: 0.2070: : 955iter [01:29,  9.20iter/s]
Best score: 0.2070: : 956iter [01:29,  9.20iter/s]
Best score: 0.2070: : 957iter [01:29,  9.86iter/s]
Best score: 0.2070: : 957iter [01:29,  9.86iter/s]
Best score: 0.2070: : 958iter [01:29,  9.86iter/s]
Best score: 0.2070: : 959iter [01:29, 10.34iter/s]
Best score: 0.2070: : 959iter [01:30, 10.34iter/s]
Best score: 0.2070: : 960iter [01:30, 10.34iter/s]
Best score: 0.2070: : 961iter [01:30, 10.57iter/s]
Best score: 0.2070: : 961iter [01:30, 10.57iter/s]
Best score: 0.2070: : 962iter [01:30, 10.57iter/s]
Best score: 0.2070: : 963iter [01:30, 10.91iter/s]
Best score: 0.2070: : 963iter [01:30, 10.91iter/s]
Best score: 0.2070: : 964iter [01:30, 10.91iter/s]
Best score: 0.2070: : 965iter [01:30, 11.17iter/s]
Best score: 0.2070: : 965iter [01:30, 11.17iter/s]
Best score: 0.2070: : 966iter [01:30, 11.17iter/s]
Best score: 0.2070: : 967iter [01:30, 11.36iter/s]
Best score: 0.2070: : 967iter [01:30, 11.36iter/s]
Best score: 0.2070: : 968iter [01:30, 11.36iter/s]
Best score: 0.2070: : 969iter [01:30, 11.51iter/s]
Best score: 0.2067: : 969iter [01:30, 11.51iter/s]
Best score: 0.2067: : 970iter [01:31, 11.51iter/s]
Best score: 0.2067: : 971iter [01:31, 11.40iter/s]
Best score: 0.2067: : 971iter [01:31, 11.40iter/s]
Best score: 0.2067: : 972iter [01:31, 11.40iter/s]
Best score: 0.2067: : 973iter [01:31, 11.52iter/s]
Best score: 0.2067: : 973iter [01:31, 11.52iter/s]
Best score: 0.2067: : 974iter [01:31, 11.52iter/s]
Best score: 0.2067: : 975iter [01:31, 11.56iter/s]
Best score: 0.2067: : 975iter [01:31, 11.56iter/s]
Best score: 0.2067: : 976iter [01:31, 11.56iter/s]
Best score: 0.2067: : 977iter [01:31, 11.64iter/s]
Best score: 0.2067: : 977iter [01:31, 11.64iter/s]
Best score: 0.2067: : 978iter [01:31, 11.64iter/s]
Best score: 0.2067: : 979iter [01:31, 11.70iter/s]
Best score: 0.2067: : 979iter [01:31, 11.70iter/s]
Best score: 0.2067: : 980iter [01:31, 11.70iter/s]
Best score: 0.2067: : 981iter [01:31, 11.54iter/s]
Best score: 0.2067: : 981iter [01:31, 11.54iter/s]
Best score: 0.2067: : 982iter [01:32, 11.54iter/s]
Best score: 0.2067: : 983iter [01:32, 11.63iter/s]
Best score: 0.2067: : 983iter [01:32, 11.63iter/s]
Best score: 0.2067: : 984iter [01:32, 11.63iter/s]
Best score: 0.2067: : 985iter [01:32, 11.69iter/s]
Best score: 0.2067: : 985iter [01:32, 11.69iter/s]
Best score: 0.2067: : 986iter [01:32, 11.69iter/s]
Best score: 0.2067: : 987iter [01:32, 11.71iter/s]
Best score: 0.2067: : 987iter [01:32, 11.71iter/s]
Best score: 0.2067: : 988iter [01:32, 11.71iter/s]
Best score: 0.2067: : 989iter [01:32, 11.74iter/s]
Best score: 0.2065: : 989iter [01:32, 11.74iter/s]
Best score: 0.2065: : 990iter [01:32, 11.74iter/s]
Best score: 0.2065: : 991iter [01:32, 11.54iter/s]
Best score: 0.2065: : 991iter [01:32, 11.54iter/s]
Best score: 0.2065: : 992iter [01:32, 11.54iter/s]
Best score: 0.2065: : 993iter [01:32, 11.63iter/s]
Best score: 0.2065: : 993iter [01:32, 11.63iter/s]
Best score: 0.2065: : 994iter [01:33, 11.63iter/s]
Best score: 0.2065: : 995iter [01:33, 11.62iter/s]
Best score: 0.2065: : 995iter [01:33, 11.62iter/s]
Best score: 0.2065: : 996iter [01:33, 11.62iter/s]
Best score: 0.2065: : 997iter [01:33, 11.59iter/s]
Best score: 0.2065: : 997iter [01:33, 11.59iter/s]
Best score: 0.2065: : 998iter [01:33, 11.59iter/s]
Best score: 0.2065: : 999iter [01:33, 11.65iter/s]
[ITER 1000] Best: 0.2065
[PARAMS] Current best parameters:
  fx: 548.4524
  fy: 548.6946
  px: 1033.3233
  py: 754.6372
  k1: -0.04400079
  k2: 0.04341413
  k3: -0.02292178
  k4: 0.00397456
  p1: -0.01658638
  p2: 0.00772951
  p3: -0.01105904
  p4: 0.00497597
  s1: 0.0102
  s2: -0.0094
  s3: 0.0198
  s4: -0.0057
  tilt_x: -0.0464
  tilt_y: 0.0057
  scale: 3.0206
  rotation: -0.2992

Best score: 0.2065: : 999iter [01:33, 11.65iter/s]
Best score: 0.2065: : 1000iter [01:33, 11.65iter/s]
Best score: 0.2065: : 1001iter [01:33,  7.51iter/s]
Best score: 0.2065: : 1001iter [01:33,  7.51iter/s]
Best score: 0.2065: : 1002iter [01:34,  7.51iter/s]
Best score: 0.2065: : 1003iter [01:34,  8.43iter/s]
Best score: 0.2065: : 1003iter [01:34,  8.43iter/s]
Best score: 0.2065: : 1004iter [01:34,  8.43iter/s]
Best score: 0.2065: : 1005iter [01:34,  9.23iter/s]
Best score: 0.2065: : 1005iter [01:34,  9.23iter/s]
Best score: 0.2065: : 1006iter [01:34,  9.23iter/s]
Best score: 0.2065: : 1007iter [01:34,  9.89iter/s]
Best score: 0.2065: : 1007iter [01:34,  9.89iter/s]
Best score: 0.2065: : 1008iter [01:34,  9.89iter/s]
Best score: 0.2065: : 1009iter [01:34, 10.34iter/s]
Best score: 0.2064: : 1009iter [01:34, 10.34iter/s]
Best score: 0.2064: : 1010iter [01:34, 10.34iter/s]
Best score: 0.2064: : 1011iter [01:34, 10.54iter/s]
Best score: 0.2064: : 1011iter [01:34, 10.54iter/s]
Best score: 0.2064: : 1012iter [01:34, 10.54iter/s]
Best score: 0.2064: : 1013iter [01:34, 10.90iter/s]
Best score: 0.2064: : 1013iter [01:35, 10.90iter/s]
Best score: 0.2064: : 1014iter [01:35, 10.90iter/s]
Best score: 0.2064: : 1015iter [01:35, 11.16iter/s]
Best score: 0.2064: : 1015iter [01:35, 11.16iter/s]
Best score: 0.2064: : 1016iter [01:35, 11.16iter/s]
Best score: 0.2064: : 1017iter [01:35, 11.36iter/s]
Best score: 0.2064: : 1017iter [01:35, 11.36iter/s]
Best score: 0.2064: : 1018iter [01:35, 11.36iter/s]
Best score: 0.2064: : 1019iter [01:35, 11.50iter/s]
Best score: 0.2064: : 1019iter [01:35, 11.50iter/s]
Best score: 0.2064: : 1020iter [01:35, 11.50iter/s]
Best score: 0.2064: : 1021iter [01:35, 11.40iter/s]
Best score: 0.2064: : 1021iter [01:35, 11.40iter/s]
Best score: 0.2064: : 1022iter [01:35, 11.40iter/s]
Best score: 0.2064: : 1023iter [01:35, 11.52iter/s]
Best score: 0.2064: : 1023iter [01:35, 11.52iter/s]
Best score: 0.2064: : 1024iter [01:35, 11.52iter/s]
Best score: 0.2064: : 1025iter [01:35, 11.62iter/s]
Best score: 0.2064: : 1025iter [01:36, 11.62iter/s]
Best score: 0.2064: : 1026iter [01:36, 11.62iter/s]
Best score: 0.2064: : 1027iter [01:36, 11.60iter/s]
Best score: 0.2064: : 1027iter [01:36, 11.60iter/s]
Best score: 0.2064: : 1028iter [01:36, 11.60iter/s]
Best score: 0.2064: : 1029iter [01:36, 11.66iter/s]
Best score: 0.2064: : 1029iter [01:36, 11.66iter/s]
Best score: 0.2064: : 1030iter [01:36, 11.66iter/s]
Best score: 0.2064: : 1031iter [01:36, 11.48iter/s]
Best score: 0.2064: : 1031iter [01:36, 11.48iter/s]
Best score: 0.2064: : 1032iter [01:36, 11.48iter/s]
Best score: 0.2064: : 1033iter [01:36, 11.52iter/s]
Best score: 0.2064: : 1033iter [01:36, 11.52iter/s]
Best score: 0.2064: : 1034iter [01:36, 11.52iter/s]
Best score: 0.2064: : 1035iter [01:36, 11.50iter/s]
Best score: 0.2064: : 1035iter [01:36, 11.50iter/s]
Best score: 0.2064: : 1036iter [01:36, 11.50iter/s]
Best score: 0.2064: : 1037iter [01:36, 11.53iter/s]
Best score: 0.2064: : 1037iter [01:37, 11.53iter/s]
Best score: 0.2064: : 1038iter [01:37, 11.53iter/s]
Best score: 0.2064: : 1039iter [01:37, 11.62iter/s]
Best score: 0.2063: : 1039iter [01:37, 11.62iter/s]
Best score: 0.2063: : 1040iter [01:37, 11.62iter/s]
Best score: 0.2063: : 1041iter [01:37, 11.44iter/s]
Best score: 0.2063: : 1041iter [01:37, 11.44iter/s]
Best score: 0.2063: : 1042iter [01:37, 11.44iter/s]
Best score: 0.2063: : 1043iter [01:37, 11.52iter/s]
Best score: 0.2063: : 1043iter [01:37, 11.52iter/s]
Best score: 0.2063: : 1044iter [01:37, 11.52iter/s]
Best score: 0.2063: : 1045iter [01:37, 11.51iter/s]
Best score: 0.2063: : 1045iter [01:37, 11.51iter/s]
Best score: 0.2063: : 1046iter [01:37, 11.51iter/s]
Best score: 0.2063: : 1047iter [01:37, 11.55iter/s]
Best score: 0.2063: : 1047iter [01:37, 11.55iter/s]
Best score: 0.2063: : 1048iter [01:38, 11.55iter/s]
Best score: 0.2063: : 1049iter [01:38, 11.50iter/s]
[ITER 1050] Best: 0.2061
[PARAMS] Current best parameters:
  fx: 547.7320
  fy: 547.9285
  px: 1033.4084
  py: 754.4375
  k1: -0.04647859
  k2: 0.04909867
  k3: -0.02665425
  k4: 0.00481414
  p1: -0.01708672
  p2: 0.00763378
  p3: -0.00947350
  p4: 0.00339588
  s1: 0.0088
  s2: -0.0079
  s3: 0.0186
  s4: -0.0038
  tilt_x: -0.0464
  tilt_y: 0.0051
  scale: 3.0235
  rotation: -0.2931

Best score: 0.2061: : 1049iter [01:38, 11.50iter/s]
Best score: 0.2061: : 1050iter [01:38, 11.50iter/s]
Best score: 0.2061: : 1051iter [01:38,  7.43iter/s]
Best score: 0.2061: : 1051iter [01:38,  7.43iter/s]
Best score: 0.2061: : 1052iter [01:38,  7.43iter/s]
Best score: 0.2061: : 1053iter [01:38,  8.31iter/s]
Best score: 0.2061: : 1053iter [01:38,  8.31iter/s]
Best score: 0.2061: : 1054iter [01:38,  8.31iter/s]
Best score: 0.2061: : 1055iter [01:38,  9.12iter/s]
Best score: 0.2061: : 1055iter [01:38,  9.12iter/s]
Best score: 0.2061: : 1056iter [01:39,  9.12iter/s]
Best score: 0.2061: : 1057iter [01:39,  7.79iter/s]
Best score: 0.2061: : 1057iter [01:39,  7.79iter/s]
Best score: 0.2061: : 1058iter [01:39,  7.79iter/s]
Best score: 0.2061: : 1059iter [01:39,  8.68iter/s]
Best score: 0.2061: : 1059iter [01:39,  8.68iter/s]
Best score: 0.2061: : 1060iter [01:39,  8.68iter/s]
Best score: 0.2061: : 1061iter [01:39,  9.31iter/s]
Best score: 0.2061: : 1061iter [01:39,  9.31iter/s]
Best score: 0.2061: : 1062iter [01:39,  9.31iter/s]
Best score: 0.2061: : 1063iter [01:39,  9.92iter/s]
Best score: 0.2061: : 1063iter [01:39,  9.92iter/s]
Best score: 0.2061: : 1064iter [01:39,  9.92iter/s]
Best score: 0.2061: : 1065iter [01:39, 10.37iter/s]
Best score: 0.2061: : 1065iter [01:39, 10.37iter/s]
Best score: 0.2061: : 1066iter [01:40, 10.37iter/s]
Best score: 0.2061: : 1067iter [01:40, 10.77iter/s]
Best score: 0.2061: : 1067iter [01:40, 10.77iter/s]
Best score: 0.2061: : 1068iter [01:40, 10.77iter/s]
Best score: 0.2061: : 1069iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1069iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1070iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1071iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1071iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1072iter [01:40, 11.07iter/s]
Best score: 0.2060: : 1073iter [01:40, 11.25iter/s]
Best score: 0.2060: : 1073iter [01:40, 11.25iter/s]
Best score: 0.2060: : 1074iter [01:40, 11.25iter/s]
Best score: 0.2060: : 1075iter [01:40, 11.41iter/s]
Best score: 0.2060: : 1075iter [01:40, 11.41iter/s]
Best score: 0.2060: : 1076iter [01:40, 11.41iter/s]
Best score: 0.2060: : 1077iter [01:40, 11.48iter/s]
Best score: 0.2060: : 1077iter [01:41, 11.48iter/s]
Best score: 0.2060: : 1078iter [01:41, 11.48iter/s]
Best score: 0.2060: : 1079iter [01:41, 11.57iter/s]
Best score: 0.2060: : 1079iter [01:41, 11.57iter/s]
Best score: 0.2060: : 1080iter [01:41, 11.57iter/s]
Best score: 0.2060: : 1081iter [01:41, 11.40iter/s]
Best score: 0.2060: : 1081iter [01:41, 11.40iter/s]
Best score: 0.2060: : 1082iter [01:41, 11.40iter/s]
Best score: 0.2060: : 1083iter [01:41, 11.52iter/s]
Best score: 0.2060: : 1083iter [01:41, 11.52iter/s]
Best score: 0.2060: : 1084iter [01:41, 11.52iter/s]
Best score: 0.2060: : 1085iter [01:41, 11.56iter/s]
Best score: 0.2060: : 1085iter [01:41, 11.56iter/s]
Best score: 0.2060: : 1086iter [01:41, 11.56iter/s]
Best score: 0.2060: : 1087iter [01:41, 11.63iter/s]
Best score: 0.2060: : 1087iter [01:41, 11.63iter/s]
Best score: 0.2060: : 1088iter [01:41, 11.63iter/s]
Best score: 0.2060: : 1089iter [01:41, 11.59iter/s]
Best score: 0.2060: : 1089iter [01:42, 11.59iter/s]
Best score: 0.2060: : 1090iter [01:42, 11.59iter/s]
Best score: 0.2060: : 1091iter [01:42, 11.47iter/s]
Best score: 0.2060: : 1091iter [01:42, 11.47iter/s]
Best score: 0.2060: : 1092iter [01:42, 11.47iter/s]
Best score: 0.2060: : 1093iter [01:42, 11.57iter/s]
Best score: 0.2060: : 1093iter [01:42, 11.57iter/s]
Best score: 0.2060: : 1094iter [01:42, 11.57iter/s]
Best score: 0.2060: : 1095iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1095iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1096iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1097iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1097iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1098iter [01:42, 11.66iter/s]
Best score: 0.2060: : 1099iter [01:42, 11.64iter/s]
[ITER 1100] Best: 0.2060
[PARAMS] Current best parameters:
  fx: 547.5829
  fy: 547.7974
  px: 1033.3851
  py: 754.4996
  k1: -0.04453004
  k2: 0.04609685
  k3: -0.02482342
  k4: 0.00441423
  p1: -0.01687687
  p2: 0.00777266
  p3: -0.00978982
  p4: 0.00369167
  s1: 0.0090
  s2: -0.0081
  s3: 0.0188
  s4: -0.0042
  tilt_x: -0.0465
  tilt_y: 0.0055
  scale: 3.0219
  rotation: -0.2963

Best score: 0.2060: : 1099iter [01:42, 11.64iter/s]
Best score: 0.2060: : 1100iter [01:43, 10.65iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.205971 -> 0.205776

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 101,781 → 96,269 within 3500mm ring
  Ring polish did not improve score: 0.205776
  Success: True
  Tangential distortion: p1=-0.016857, p2=0.007778, p3=-0.009786, p4=0.003656
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2058
[✅] Parameters copied to: /working/MDC053_W051(6)_31-08-2026/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 547.5829014526295
    fy: 547.7974274768362
    px: 1033.38511570019
    py: 754.4995532029598
    k1: -0.04460819711838598
    k2: 0.046136803427606066
    k3: -0.024756221684589883
    k4: 0.00438056475197315
    p1: -0.01685697993904572
    p2: 0.007778006328448498
    p3: -0.009786147723870018
    p4: 0.003655647124387659
    scale: 3.021835754259953
    rotation: -0.2962497302456292
    mmpp: 3.4259588257783125

[🔄] Converting 3072 frames to PTD, creating debug images for 400 calibration frames...

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📁 Rigs: 100%|██████████| 4/4 [00:30<00:00,  7.29s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:30<00:00,  7.68s/rig]
[✅] Saved PTDs: /working/MDC053_W051(6)_31-08-2026/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 179.06frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 179.27frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 179.54frame/s]

   🔄 1500:  72%|███████▏  | 72/100 [00:00<00:00, 179.56frame/s]

   🔄 1500:  91%|█████████ | 91/100 [00:00<00:00, 181.10frame/s]

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

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 176.59frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 176.92frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 178.23frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 177.99frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 177.03frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:01<00:01,  1.07rig/s]

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 178.67frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 179.08frame/s]

   🔄 2000R:  55%|█████▌    | 55/100 [00:00<00:00, 180.65frame/s]

   🔄 2000R:  74%|███████▍  | 74/100 [00:00<00:00, 180.64frame/s]

   🔄 2000R:  93%|█████████▎| 93/100 [00:00<00:00, 180.69frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.08rig/s]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 183.64frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 183.42frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 182.15frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 181.85frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 183.81frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.01rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
[✅] Saved PTDs: /working/MDC053_W051(6)_31-08-2026/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%|▎         | 96775/3080448 [00:00<00:03, 967744.00px/s]
📤 Writing LUT:   7%|▋         | 202101/3080448 [00:00<00:02, 1018040.83px/s]
📤 Writing LUT:  10%|▉         | 303906/3080448 [00:00<00:02, 1011479.24px/s]
📤 Writing LUT:  13%|█▎        | 405059/3080448 [00:00<00:02, 1002371.42px/s]
📤 Writing LUT:  16%|█▋        | 505309/3080448 [00:00<00:02, 974767.42px/s] 
📤 Writing LUT:  20%|█▉        | 602902/3080448 [00:00<00:02, 941696.32px/s]
📤 Writing LUT:  23%|██▎       | 697287/3080448 [00:00<00:02, 924571.22px/s]
📤 Writing LUT:  26%|██▌       | 789890/3080448 [00:00<00:02, 914612.53px/s]
📤 Writing LUT:  29%|██▊       | 881435/3080448 [00:00<00:02, 897703.56px/s]
📤 Writing LUT:  32%|███▏      | 971274/3080448 [00:01<00:02, 886751.26px/s]
📤 Writing LUT:  34%|███▍      | 1059986/3080448 [00:01<00:02, 878472.54px/s]
📤 Writing LUT:  37%|███▋      | 1149718/3080448 [00:01<00:02, 884026.40px/s]
📤 Writing LUT:  40%|████      | 1238553/3080448 [00:01<00:02, 885305.91px/s]
📤 Writing LUT:  43%|████▎     | 1327106/3080448 [00:01<00:01, 882749.50px/s]
📤 Writing LUT:  46%|████▌     | 1415787/3080448 [00:01<00:01, 883954.86px/s]
📤 Writing LUT:  49%|████▉     | 1504194/3080448 [00:01<00:01, 877814.72px/s]
📤 Writing LUT:  52%|█████▏    | 1591988/3080448 [00:01<00:01, 872986.76px/s]
📤 Writing LUT:  55%|█████▍    | 1679296/3080448 [00:01<00:01, 871451.20px/s]
📤 Writing LUT:  57%|█████▋    | 1767053/3080448 [00:01<00:01, 873268.66px/s]
📤 Writing LUT:  60%|██████    | 1854386/3080448 [00:02<00:01, 868973.68px/s]
📤 Writing LUT:  63%|██████▎   | 1942741/3080448 [00:02<00:01, 873311.26px/s]
📤 Writing LUT:  66%|██████▌   | 2031999/3080448 [00:02<00:01, 879060.82px/s]
📤 Writing LUT:  69%|██████▉   | 2121251/3080448 [00:02<00:01, 883081.91px/s]
📤 Writing LUT:  72%|███████▏  | 2209567/3080448 [00:02<00:00, 877697.56px/s]
📤 Writing LUT:  75%|███████▍  | 2297349/3080448 [00:02<00:00, 873101.01px/s]
📤 Writing LUT:  77%|███████▋  | 2384670/3080448 [00:02<00:00, 870516.62px/s]
📤 Writing LUT:  80%|████████  | 2473455/3080448 [00:02<00:00, 875675.63px/s]
📤 Writing LUT:  83%|████████▎ | 2561032/3080448 [00:02<00:00, 870639.47px/s]
📤 Writing LUT:  86%|████████▌ | 2649884/3080448 [00:02<00:00, 875958.76px/s]
📤 Writing LUT:  89%|████████▉ | 2738751/3080448 [00:03<00:00, 879750.79px/s]
📤 Writing LUT:  92%|█████████▏| 2826737/3080448 [00:03<00:00, 878656.18px/s]
📤 Writing LUT:  95%|█████████▍| 2916008/3080448 [00:03<00:00, 882856.15px/s]
📤 Writing LUT:  98%|█████████▊| 3006213/3080448 [00:03<00:00, 888598.77px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 894399.71px/s]
[✅] LUT written to: /working/MDC053_W051(6)_31-08-2026/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC053_W051(6)_31-08-2026' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC053_W051(6)_31-08-2026/calibration/MDC053_W051(6)_31-08-2026_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]

   🔥 1500:   0%|          | 0/699 [00:00<?, ?frame/s]

   🔥 1500:   1%|          | 8/699 [00:00<00:08, 78.58frame/s]

   🔥 1500:   2%|▏         | 17/699 [00:00<00:08, 83.15frame/s]

   🔥 1500:   4%|▎         | 26/699 [00:00<00:07, 84.66frame/s]

   🔥 1500:   5%|▌         | 35/699 [00:00<00:07, 84.92frame/s]

   🔥 1500:   6%|▋         | 44/699 [00:00<00:07, 84.90frame/s]

   🔥 1500:   8%|▊         | 53/699 [00:00<00:07, 86.31frame/s]

   🔥 1500:   9%|▉         | 63/699 [00:00<00:07, 87.51frame/s]

   🔥 1500:  10%|█         | 73/699 [00:00<00:07, 89.05frame/s]

   🔥 1500:  12%|█▏        | 83/699 [00:00<00:06, 89.80frame/s]

   🔥 1500:  13%|█▎        | 92/699 [00:01<00:06, 88.95frame/s]

   🔥 1500:  14%|█▍        | 101/699 [00:01<00:06, 87.78frame/s]

   🔥 1500:  16%|█▌        | 110/699 [00:01<00:06, 86.60frame/s]

   🔥 1500:  17%|█▋        | 119/699 [00:01<00:06, 86.14frame/s]

   🔥 1500:  18%|█▊        | 128/699 [00:01<00:06, 86.14frame/s]

   🔥 1500:  20%|█▉        | 137/699 [00:01<00:06, 85.88frame/s]

   🔥 1500:  21%|██        | 146/699 [00:01<00:06, 84.54frame/s]

   🔥 1500:  22%|██▏       | 155/699 [00:01<00:06, 83.29frame/s]

   🔥 1500:  23%|██▎       | 164/699 [00:01<00:06, 81.58frame/s]

   🔥 1500:  25%|██▍       | 173/699 [00:02<00:06, 81.16frame/s]

   🔥 1500:  26%|██▌       | 182/699 [00:02<00:06, 80.73frame/s]

   🔥 1500:  27%|██▋       | 191/699 [00:02<00:06, 80.64frame/s]

   🔥 1500:  29%|██▊       | 200/699 [00:02<00:06, 80.58frame/s]

   🔥 1500:  30%|██▉       | 209/699 [00:02<00:06, 81.19frame/s]

   🔥 1500:  31%|███       | 218/699 [00:02<00:05, 82.22frame/s]

   🔥 1500:  32%|███▏      | 227/699 [00:02<00:05, 82.35frame/s]

   🔥 1500:  34%|███▍      | 236/699 [00:02<00:05, 83.36frame/s]

   🔥 1500:  35%|███▌      | 245/699 [00:02<00:05, 83.88frame/s]

   🔥 1500:  36%|███▋      | 254/699 [00:03<00:05, 84.82frame/s]

   🔥 1500:  38%|███▊      | 263/699 [00:03<00:05, 85.85frame/s]

   🔥 1500:  39%|███▉      | 272/699 [00:03<00:04, 86.82frame/s]

   🔥 1500:  40%|████      | 282/699 [00:03<00:04, 88.46frame/s]

   🔥 1500:  42%|████▏     | 292/699 [00:03<00:04, 90.34frame/s]

   🔥 1500:  43%|████▎     | 302/699 [00:03<00:04, 92.02frame/s]

   🔥 1500:  45%|████▍     | 312/699 [00:03<00:04, 93.07frame/s]

   🔥 1500:  46%|████▌     | 322/699 [00:03<00:04, 92.64frame/s]

   🔥 1500:  47%|████▋     | 332/699 [00:03<00:04, 90.88frame/s]

   🔥 1500:  49%|████▉     | 342/699 [00:03<00:04, 89.20frame/s]

   🔥 1500:  50%|█████     | 351/699 [00:04<00:03, 87.89frame/s]

   🔥 1500:  52%|█████▏    | 360/699 [00:04<00:03, 86.40frame/s]

   🔥 1500:  53%|█████▎    | 369/699 [00:04<00:03, 84.65frame/s]

   🔥 1500:  54%|█████▍    | 378/699 [00:04<00:03, 83.91frame/s]

   🔥 1500:  55%|█████▌    | 387/699 [00:04<00:03, 83.79frame/s]

   🔥 1500:  57%|█████▋    | 396/699 [00:04<00:03, 83.64frame/s]

   🔥 1500:  58%|█████▊    | 405/699 [00:04<00:03, 82.93frame/s]

   🔥 1500:  59%|█████▉    | 414/699 [00:04<00:03, 82.72frame/s]

   🔥 1500:  61%|██████    | 423/699 [00:04<00:03, 81.59frame/s]

   🔥 1500:  62%|██████▏   | 432/699 [00:05<00:03, 81.51frame/s]

   🔥 1500:  63%|██████▎   | 441/699 [00:05<00:03, 80.55frame/s]

   🔥 1500:  64%|██████▍   | 450/699 [00:05<00:03, 80.95frame/s]

   🔥 1500:  66%|██████▌   | 459/699 [00:05<00:02, 81.02frame/s]

   🔥 1500:  67%|██████▋   | 468/699 [00:05<00:02, 81.25frame/s]

   🔥 1500:  68%|██████▊   | 477/699 [00:05<00:02, 81.68frame/s]

   🔥 1500:  70%|██████▉   | 486/699 [00:05<00:02, 80.89frame/s]

   🔥 1500:  71%|███████   | 495/699 [00:05<00:02, 80.72frame/s]

   🔥 1500:  72%|███████▏  | 504/699 [00:05<00:02, 80.87frame/s]

   🔥 1500:  73%|███████▎  | 513/699 [00:06<00:02, 80.92frame/s]

   🔥 1500:  75%|███████▍  | 522/699 [00:06<00:02, 81.53frame/s]

   🔥 1500:  76%|███████▌  | 531/699 [00:06<00:02, 82.02frame/s]

   🔥 1500:  77%|███████▋  | 540/699 [00:06<00:01, 82.57frame/s]

   🔥 1500:  79%|███████▊  | 549/699 [00:06<00:01, 82.57frame/s]

   🔥 1500:  80%|███████▉  | 558/699 [00:06<00:01, 83.26frame/s]

   🔥 1500:  81%|████████  | 567/699 [00:06<00:01, 84.48frame/s]

   🔥 1500:  83%|████████▎ | 577/699 [00:06<00:01, 86.26frame/s]

   🔥 1500:  84%|████████▍ | 587/699 [00:06<00:01, 88.82frame/s]

   🔥 1500:  85%|████████▌ | 597/699 [00:07<00:01, 91.27frame/s]

   🔥 1500:  87%|████████▋ | 607/699 [00:07<00:00, 92.85frame/s]

   🔥 1500:  88%|████████▊ | 617/699 [00:07<00:00, 94.06frame/s]

   🔥 1500:  90%|████████▉ | 627/699 [00:07<00:00, 92.55frame/s]

   🔥 1500:  91%|█████████ | 637/699 [00:07<00:00, 90.75frame/s]

   🔥 1500:  93%|█████████▎| 647/699 [00:07<00:00, 89.48frame/s]

   🔥 1500:  94%|█████████▍| 656/699 [00:07<00:00, 88.62frame/s]

   🔥 1500:  95%|█████████▌| 665/699 [00:07<00:00, 87.75frame/s]

   🔥 1500:  96%|█████████▋| 674/699 [00:07<00:00, 86.69frame/s]

   🔥 1500:  98%|█████████▊| 683/699 [00:08<00:00, 86.32frame/s]

   🔥 1500:  99%|█████████▉| 692/699 [00:08<00:00, 86.24frame/s]

                                                                [✅] 1500: /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:09<00:28,  9.53s/rig]

   🔥 2000L:   0%|          | 0/1003 [00:00<?, ?frame/s]

   🔥 2000L:   1%|          | 9/1003 [00:00<00:12, 81.47frame/s]

   🔥 2000L:   2%|▏         | 18/1003 [00:00<00:11, 83.10frame/s]

   🔥 2000L:   3%|▎         | 27/1003 [00:00<00:11, 83.14frame/s]

   🔥 2000L:   4%|▎         | 36/1003 [00:00<00:11, 83.51frame/s]

   🔥 2000L:   4%|▍         | 45/1003 [00:00<00:11, 83.88frame/s]

   🔥 2000L:   5%|▌         | 54/1003 [00:00<00:11, 84.22frame/s]

   🔥 2000L:   6%|▋         | 63/1003 [00:00<00:11, 84.94frame/s]

   🔥 2000L:   7%|▋         | 72/1003 [00:00<00:10, 86.21frame/s]

   🔥 2000L:   8%|▊         | 81/1003 [00:00<00:10, 87.19frame/s]

   🔥 2000L:   9%|▉         | 91/1003 [00:01<00:10, 88.81frame/s]

   🔥 2000L:  10%|█         | 101/1003 [00:01<00:09, 90.37frame/s]

   🔥 2000L:  11%|█         | 111/1003 [00:01<00:09, 91.24frame/s]

   🔥 2000L:  12%|█▏        | 121/1003 [00:01<00:09, 91.23frame/s]

   🔥 2000L:  13%|█▎        | 131/1003 [00:01<00:09, 90.53frame/s]

   🔥 2000L:  14%|█▍        | 141/1003 [00:01<00:09, 89.95frame/s]

   🔥 2000L:  15%|█▍        | 150/1003 [00:01<00:09, 89.94frame/s]

   🔥 2000L:  16%|█▌        | 160/1003 [00:01<00:09, 90.52frame/s]

   🔥 2000L:  17%|█▋        | 170/1003 [00:01<00:08, 92.72frame/s]

   🔥 2000L:  18%|█▊        | 181/1003 [00:02<00:08, 95.50frame/s]

   🔥 2000L:  19%|█▉        | 192/1003 [00:02<00:08, 97.14frame/s]

   🔥 2000L:  20%|██        | 203/1003 [00:02<00:08, 97.96frame/s]

   🔥 2000L:  21%|██        | 213/1003 [00:02<00:08, 97.92frame/s]

   🔥 2000L:  22%|██▏       | 223/1003 [00:02<00:08, 97.20frame/s]

   🔥 2000L:  23%|██▎       | 233/1003 [00:02<00:08, 95.52frame/s]

   🔥 2000L:  24%|██▍       | 243/1003 [00:02<00:08, 93.85frame/s]

   🔥 2000L:  25%|██▌       | 253/1003 [00:02<00:08, 92.41frame/s]

   🔥 2000L:  26%|██▌       | 263/1003 [00:02<00:08, 91.59frame/s]

   🔥 2000L:  27%|██▋       | 273/1003 [00:03<00:08, 90.54frame/s]

   🔥 2000L:  28%|██▊       | 283/1003 [00:03<00:07, 90.48frame/s]

   🔥 2000L:  29%|██▉       | 293/1003 [00:03<00:07, 91.08frame/s]

   🔥 2000L:  30%|███       | 303/1003 [00:03<00:07, 90.83frame/s]

   🔥 2000L:  31%|███       | 313/1003 [00:03<00:07, 91.59frame/s]

   🔥 2000L:  32%|███▏      | 323/1003 [00:03<00:07, 92.08frame/s]

   🔥 2000L:  33%|███▎      | 333/1003 [00:03<00:07, 92.42frame/s]

   🔥 2000L:  34%|███▍      | 343/1003 [00:03<00:07, 92.72frame/s]

   🔥 2000L:  35%|███▌      | 353/1003 [00:03<00:06, 93.35frame/s]

   🔥 2000L:  36%|███▌      | 363/1003 [00:03<00:06, 93.87frame/s]

   🔥 2000L:  37%|███▋      | 373/1003 [00:04<00:06, 93.93frame/s]

   🔥 2000L:  38%|███▊      | 383/1003 [00:04<00:06, 94.34frame/s]

   🔥 2000L:  39%|███▉      | 393/1003 [00:04<00:06, 93.26frame/s]

   🔥 2000L:  40%|████      | 403/1003 [00:04<00:06, 92.53frame/s]

   🔥 2000L:  41%|████      | 413/1003 [00:04<00:06, 92.40frame/s]

   🔥 2000L:  42%|████▏     | 423/1003 [00:04<00:06, 91.99frame/s]

   🔥 2000L:  43%|████▎     | 433/1003 [00:04<00:06, 91.75frame/s]

   🔥 2000L:  44%|████▍     | 443/1003 [00:04<00:06, 92.23frame/s]

   🔥 2000L:  45%|████▌     | 453/1003 [00:04<00:05, 93.62frame/s]

   🔥 2000L:  46%|████▌     | 463/1003 [00:05<00:05, 95.22frame/s]

   🔥 2000L:  47%|████▋     | 473/1003 [00:05<00:05, 94.18frame/s]

   🔥 2000L:  48%|████▊     | 483/1003 [00:05<00:05, 92.38frame/s]

   🔥 2000L:  49%|████▉     | 493/1003 [00:05<00:05, 90.47frame/s]

   🔥 2000L:  50%|█████     | 503/1003 [00:05<00:05, 88.85frame/s]

   🔥 2000L:  51%|█████     | 512/1003 [00:05<00:05, 88.03frame/s]

   🔥 2000L:  52%|█████▏    | 521/1003 [00:05<00:05, 87.67frame/s]

   🔥 2000L:  53%|█████▎    | 530/1003 [00:05<00:05, 87.32frame/s]

   🔥 2000L:  54%|█████▎    | 539/1003 [00:05<00:05, 86.91frame/s]

   🔥 2000L:  55%|█████▍    | 548/1003 [00:06<00:05, 86.93frame/s]

   🔥 2000L:  56%|█████▌    | 557/1003 [00:06<00:05, 86.49frame/s]

   🔥 2000L:  56%|█████▋    | 566/1003 [00:06<00:05, 86.26frame/s]

   🔥 2000L:  57%|█████▋    | 575/1003 [00:06<00:04, 86.03frame/s]

   🔥 2000L:  58%|█████▊    | 584/1003 [00:06<00:04, 85.38frame/s]

   🔥 2000L:  59%|█████▉    | 593/1003 [00:06<00:04, 85.12frame/s]

   🔥 2000L:  60%|██████    | 602/1003 [00:06<00:04, 84.26frame/s]

   🔥 2000L:  61%|██████    | 611/1003 [00:06<00:04, 83.49frame/s]

   🔥 2000L:  62%|██████▏   | 620/1003 [00:06<00:04, 82.27frame/s]

   🔥 2000L:  63%|██████▎   | 629/1003 [00:06<00:04, 81.87frame/s]

   🔥 2000L:  64%|██████▎   | 638/1003 [00:07<00:04, 81.26frame/s]

   🔥 2000L:  65%|██████▍   | 647/1003 [00:07<00:04, 80.25frame/s]

   🔥 2000L:  65%|██████▌   | 656/1003 [00:07<00:04, 79.94frame/s]

   🔥 2000L:  66%|██████▌   | 664/1003 [00:07<00:04, 79.20frame/s]

   🔥 2000L:  67%|██████▋   | 672/1003 [00:07<00:04, 78.47frame/s]

   🔥 2000L:  68%|██████▊   | 681/1003 [00:07<00:04, 79.23frame/s]

   🔥 2000L:  69%|██████▉   | 690/1003 [00:07<00:03, 79.62frame/s]

   🔥 2000L:  70%|██████▉   | 699/1003 [00:07<00:03, 80.29frame/s]

   🔥 2000L:  71%|███████   | 708/1003 [00:07<00:03, 80.79frame/s]

   🔥 2000L:  71%|███████▏  | 717/1003 [00:08<00:03, 81.59frame/s]

   🔥 2000L:  72%|███████▏  | 726/1003 [00:08<00:03, 81.74frame/s]

   🔥 2000L:  73%|███████▎  | 735/1003 [00:08<00:03, 82.57frame/s]

   🔥 2000L:  74%|███████▍  | 744/1003 [00:08<00:03, 83.38frame/s]

   🔥 2000L:  75%|███████▌  | 753/1003 [00:08<00:02, 83.80frame/s]

   🔥 2000L:  76%|███████▌  | 762/1003 [00:08<00:02, 84.50frame/s]

   🔥 2000L:  77%|███████▋  | 771/1003 [00:08<00:02, 85.38frame/s]

   🔥 2000L:  78%|███████▊  | 780/1003 [00:08<00:02, 86.58frame/s]

   🔥 2000L:  79%|███████▊  | 789/1003 [00:08<00:02, 86.92frame/s]

   🔥 2000L:  80%|███████▉  | 798/1003 [00:09<00:02, 87.23frame/s]

   🔥 2000L:  81%|████████  | 808/1003 [00:09<00:02, 88.39frame/s]

   🔥 2000L:  82%|████████▏ | 818/1003 [00:09<00:02, 89.27frame/s]

   🔥 2000L:  82%|████████▏ | 827/1003 [00:09<00:01, 89.44frame/s]

   🔥 2000L:  83%|████████▎ | 837/1003 [00:09<00:01, 89.76frame/s]

   🔥 2000L:  84%|████████▍ | 847/1003 [00:09<00:01, 90.21frame/s]

   🔥 2000L:  85%|████████▌ | 857/1003 [00:09<00:01, 91.04frame/s]

   🔥 2000L:  86%|████████▋ | 867/1003 [00:09<00:01, 91.26frame/s]

   🔥 2000L:  87%|████████▋ | 877/1003 [00:09<00:01, 92.24frame/s]

   🔥 2000L:  88%|████████▊ | 887/1003 [00:10<00:01, 92.61frame/s]

   🔥 2000L:  89%|████████▉ | 897/1003 [00:10<00:01, 93.88frame/s]

   🔥 2000L:  90%|█████████ | 907/1003 [00:10<00:01, 92.36frame/s]

   🔥 2000L:  91%|█████████▏| 917/1003 [00:10<00:00, 90.34frame/s]

   🔥 2000L:  92%|█████████▏| 927/1003 [00:10<00:00, 88.12frame/s]

   🔥 2000L:  93%|█████████▎| 936/1003 [00:10<00:00, 87.05frame/s]

   🔥 2000L:  94%|█████████▍| 945/1003 [00:10<00:00, 86.03frame/s]

   🔥 2000L:  95%|█████████▌| 954/1003 [00:10<00:00, 84.99frame/s]

   🔥 2000L:  96%|█████████▌| 963/1003 [00:10<00:00, 84.52frame/s]

   🔥 2000L:  97%|█████████▋| 972/1003 [00:10<00:00, 83.92frame/s]

   🔥 2000L:  98%|█████████▊| 981/1003 [00:11<00:00, 83.85frame/s]

   🔥 2000L:  99%|█████████▊| 990/1003 [00:11<00:00, 82.97frame/s]

   🔥 2000L: 100%|█████████▉| 999/1003 [00:11<00:00, 83.65frame/s]

                                                                  [✅] 2000L: /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:22<00:23, 11.68s/rig]

   🔥 2000R:   0%|          | 0/827 [00:00<?, ?frame/s]

   🔥 2000R:   1%|          | 8/827 [00:00<00:10, 79.21frame/s]

   🔥 2000R:   2%|▏         | 17/827 [00:00<00:09, 81.67frame/s]

   🔥 2000R:   3%|▎         | 26/827 [00:00<00:09, 82.02frame/s]

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   🔥 2000R:   5%|▌         | 44/827 [00:00<00:09, 82.82frame/s]

   🔥 2000R:   6%|▋         | 53/827 [00:00<00:09, 83.05frame/s]

   🔥 2000R:   7%|▋         | 62/827 [00:00<00:09, 84.20frame/s]

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   🔥 2000R:  10%|▉         | 80/827 [00:00<00:08, 86.09frame/s]

   🔥 2000R:  11%|█         | 89/827 [00:01<00:08, 86.87frame/s]

   🔥 2000R:  12%|█▏        | 99/827 [00:01<00:08, 89.60frame/s]

   🔥 2000R:  13%|█▎        | 109/827 [00:01<00:07, 90.46frame/s]

   🔥 2000R:  14%|█▍        | 119/827 [00:01<00:07, 91.23frame/s]

   🔥 2000R:  16%|█▌        | 129/827 [00:01<00:07, 92.23frame/s]

   🔥 2000R:  17%|█▋        | 139/827 [00:01<00:07, 93.09frame/s]

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   🔥 2000R:  19%|█▉        | 159/827 [00:01<00:07, 94.34frame/s]

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   🔥 2000R:  27%|██▋       | 221/827 [00:02<00:06, 95.36frame/s]

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   🔥 2000R:  44%|████▎     | 361/827 [00:03<00:05, 92.66frame/s]

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   🔥 2000R:  56%|█████▌    | 460/827 [00:05<00:04, 89.79frame/s]

   🔥 2000R:  57%|█████▋    | 470/827 [00:05<00:03, 91.10frame/s]

   🔥 2000R:  58%|█████▊    | 480/827 [00:05<00:03, 91.15frame/s]

   🔥 2000R:  59%|█████▉    | 490/827 [00:05<00:03, 91.69frame/s]

   🔥 2000R:  60%|██████    | 500/827 [00:05<00:03, 92.48frame/s]

   🔥 2000R:  62%|██████▏   | 510/827 [00:05<00:03, 92.67frame/s]

   🔥 2000R:  63%|██████▎   | 520/827 [00:05<00:03, 92.60frame/s]

   🔥 2000R:  64%|██████▍   | 530/827 [00:05<00:03, 91.50frame/s]

   🔥 2000R:  65%|██████▌   | 540/827 [00:05<00:03, 89.61frame/s]

   🔥 2000R:  66%|██████▋   | 549/827 [00:06<00:03, 89.01frame/s]

   🔥 2000R:  67%|██████▋   | 558/827 [00:06<00:03, 88.78frame/s]

   🔥 2000R:  69%|██████▊   | 568/827 [00:06<00:02, 89.25frame/s]

   🔥 2000R:  70%|██████▉   | 577/827 [00:06<00:02, 88.74frame/s]

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   🔥 2000R:  72%|███████▏  | 595/827 [00:06<00:02, 88.65frame/s]

   🔥 2000R:  73%|███████▎  | 605/827 [00:06<00:02, 90.63frame/s]

   🔥 2000R:  74%|███████▍  | 615/827 [00:06<00:02, 91.32frame/s]

   🔥 2000R:  76%|███████▌  | 625/827 [00:06<00:02, 92.01frame/s]

   🔥 2000R:  77%|███████▋  | 635/827 [00:06<00:02, 91.50frame/s]

   🔥 2000R:  78%|███████▊  | 645/827 [00:07<00:01, 91.18frame/s]

   🔥 2000R:  79%|███████▉  | 655/827 [00:07<00:01, 91.38frame/s]

   🔥 2000R:  80%|████████  | 665/827 [00:07<00:01, 92.45frame/s]

   🔥 2000R:  82%|████████▏ | 675/827 [00:07<00:01, 93.81frame/s]

   🔥 2000R:  83%|████████▎ | 685/827 [00:07<00:01, 95.26frame/s]

   🔥 2000R:  84%|████████▍ | 695/827 [00:07<00:01, 94.04frame/s]

   🔥 2000R:  85%|████████▌ | 705/827 [00:07<00:01, 93.71frame/s]

   🔥 2000R:  86%|████████▋ | 715/827 [00:07<00:01, 93.83frame/s]

   🔥 2000R:  88%|████████▊ | 726/827 [00:07<00:01, 96.03frame/s]

   🔥 2000R:  89%|████████▉ | 737/827 [00:08<00:00, 97.38frame/s]

   🔥 2000R:  90%|█████████ | 747/827 [00:08<00:00, 97.57frame/s]

   🔥 2000R:  92%|█████████▏| 757/827 [00:08<00:00, 95.02frame/s]

   🔥 2000R:  93%|█████████▎| 767/827 [00:08<00:00, 93.08frame/s]

   🔥 2000R:  94%|█████████▍| 777/827 [00:08<00:00, 90.44frame/s]

   🔥 2000R:  95%|█████████▌| 787/827 [00:08<00:00, 88.05frame/s]

   🔥 2000R:  96%|█████████▋| 796/827 [00:08<00:00, 87.15frame/s]

   🔥 2000R:  97%|█████████▋| 805/827 [00:08<00:00, 86.41frame/s]

   🔥 2000R:  98%|█████████▊| 814/827 [00:08<00:00, 85.06frame/s]

   🔥 2000R: 100%|█████████▉| 823/827 [00:09<00:00, 84.88frame/s]

                                                                 [✅] 2000R: /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:33<00:11, 11.31s/rig]

   🔥 1000:   0%|          | 0/543 [00:00<?, ?frame/s]

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   🔥 1000:   3%|▎         | 18/543 [00:00<00:06, 85.77frame/s]

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   🔥 1000:   7%|▋         | 36/543 [00:00<00:05, 87.38frame/s]

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   🔥 1000:  42%|████▏     | 227/543 [00:02<00:03, 85.60frame/s]

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   🔥 1000:  82%|████████▏ | 447/543 [00:04<00:00, 96.77frame/s]

   🔥 1000:  84%|████████▍ | 458/543 [00:05<00:00, 97.80frame/s]

   🔥 1000:  86%|████████▌ | 468/543 [00:05<00:00, 97.74frame/s]

   🔥 1000:  88%|████████▊ | 478/543 [00:05<00:00, 95.88frame/s]

   🔥 1000:  90%|████████▉ | 488/543 [00:05<00:00, 94.45frame/s]

   🔥 1000:  92%|█████████▏| 498/543 [00:05<00:00, 92.69frame/s]

   🔥 1000:  94%|█████████▎| 508/543 [00:05<00:00, 91.51frame/s]

   🔥 1000:  95%|█████████▌| 518/543 [00:05<00:00, 90.05frame/s]

   🔥 1000:  97%|█████████▋| 528/543 [00:05<00:00, 88.96frame/s]

   🔥 1000:  99%|█████████▉| 537/543 [00:05<00:00, 88.70frame/s]

                                                                [✅] 1000: /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:40<00:00,  9.49s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:40<00:00, 10.07s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC053_W051(6)_31-08-2026/calibration/debug/5_heatmap
[🏁] Finished processing MDC053_W051(6)_31-08-2026


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