2026-10-06T19:44:09 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC034_W023(6)_2026-10-06 ===
2026-10-06T19:44:09 - INFO: Camera ID: 15091871
2026-10-06T19:44:09 - INFO: Wand ID: 
2026-10-06T19:44:09 - INFO: Recorded At: 2026-10-06T13:38:07Z

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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 1003 stationary frames, 323 remain


→ 2000R (323 images) Phase 1:   0%|          | 0/323 [00:00<?, ?it/s]

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→ 2000R (323 images) Phase 1:  23%|██▎       | 75/323 [00:01<00:04, 51.31it/s]

→ 2000R (323 images) Phase 1:  29%|██▉       | 93/323 [00:01<00:03, 70.17it/s]

→ 2000R (323 images) Phase 1:  33%|███▎      | 105/323 [00:02<00:03, 59.27it/s]

→ 2000R (323 images) Phase 1:  36%|███▌      | 115/323 [00:02<00:03, 65.45it/s]

→ 2000R (323 images) Phase 1:  39%|███▉      | 127/323 [00:02<00:02, 68.62it/s]

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→ 2000R (323 images) Phase 1:  45%|████▍     | 144/323 [00:02<00:02, 63.47it/s]

→ 2000R (323 images) Phase 1:  48%|████▊     | 156/323 [00:02<00:02, 74.23it/s]

→ 2000R (323 images) Phase 1:  51%|█████     | 165/323 [00:02<00:02, 63.84it/s]

→ 2000R (323 images) Phase 1:  54%|█████▎    | 173/323 [00:03<00:02, 64.13it/s]

→ 2000R (323 images) Phase 1:  57%|█████▋    | 185/323 [00:03<00:01, 75.90it/s]

→ 2000R (323 images) Phase 1:  60%|██████    | 194/323 [00:03<00:01, 71.64it/s]

→ 2000R (323 images) Phase 1:  63%|██████▎   | 202/323 [00:03<00:01, 63.18it/s]

→ 2000R (323 images) Phase 1:  66%|██████▌   | 212/323 [00:03<00:01, 71.33it/s]

→ 2000R (323 images) Phase 1:  69%|██████▊   | 222/323 [00:03<00:01, 69.51it/s]

→ 2000R (323 images) Phase 1:  71%|███████   | 230/323 [00:03<00:01, 71.02it/s]

→ 2000R (323 images) Phase 1:  74%|███████▎  | 238/323 [00:03<00:01, 65.72it/s]

→ 2000R (323 images) Phase 1:  76%|███████▌  | 246/323 [00:04<00:01, 67.96it/s]

→ 2000R (323 images) Phase 1:  79%|███████▉  | 256/323 [00:04<00:00, 74.18it/s]

→ 2000R (323 images) Phase 1:  82%|████████▏ | 264/323 [00:04<00:00, 70.20it/s]

→ 2000R (323 images) Phase 1:  84%|████████▍ | 272/323 [00:04<00:00, 67.23it/s]

→ 2000R (323 images) Phase 1:  88%|████████▊ | 284/323 [00:04<00:00, 79.26it/s]

→ 2000R (323 images) Phase 1:  91%|█████████ | 293/323 [00:04<00:00, 71.40it/s]

→ 2000R (323 images) Phase 1:  93%|█████████▎| 301/323 [00:04<00:00, 68.97it/s]

→ 2000R (323 images) Phase 1:  97%|█████████▋| 314/323 [00:04<00:00, 83.87it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/323 [00:00<?, ?it/s]

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→ 2000R Phase 2: corners:   4%|▍         | 14/323 [00:00<00:05, 58.71it/s]

→ 2000R Phase 2: corners:   8%|▊         | 27/323 [00:00<00:03, 84.22it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 41/323 [00:00<00:02, 102.67it/s]

→ 2000R Phase 2: corners:  18%|█▊        | 58/323 [00:00<00:02, 119.43it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 71/323 [00:00<00:02, 120.11it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 84/323 [00:00<00:02, 118.06it/s]

→ 2000R Phase 2: corners:  30%|███       | 97/323 [00:00<00:01, 116.35it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 111/323 [00:01<00:01, 119.50it/s]

→ 2000R Phase 2: corners:  39%|███▊      | 125/323 [00:01<00:01, 119.77it/s]

→ 2000R Phase 2: corners:  43%|████▎     | 138/323 [00:01<00:01, 120.00it/s]

→ 2000R Phase 2: corners:  47%|████▋     | 153/323 [00:01<00:01, 127.07it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 167/323 [00:01<00:01, 129.81it/s]

→ 2000R Phase 2: corners:  58%|█████▊    | 187/323 [00:01<00:00, 149.58it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 212/323 [00:01<00:00, 178.19it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 231/323 [00:01<00:00, 170.61it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 249/323 [00:01<00:00, 161.29it/s]

→ 2000R Phase 2: corners:  82%|████████▏ | 266/323 [00:02<00:00, 152.81it/s]

→ 2000R Phase 2: corners:  87%|████████▋ | 282/323 [00:02<00:00, 143.28it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 297/323 [00:02<00:00, 140.56it/s]

                                                                            [PASS2] Frame 0000607: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000610: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000613: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000616: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000697: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000703: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000821: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000822: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000823: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000824: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000613: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000703: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000823: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000824: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000604: fixed corners {2, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000703: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000824: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Summary: 3 frames fixed, 51 untrusted, 323 total


→ 2000R Phase 3: finalize:   0%|          | 0/323 [00:00<?, ?it/s]

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→ 2000R Phase 3: finalize:  65%|██████▌   | 211/323 [00:03<00:01, 57.80it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 217/323 [00:04<00:01, 57.57it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 223/323 [00:04<00:01, 57.34it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 229/323 [00:04<00:01, 55.10it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 235/323 [00:04<00:01, 53.82it/s]

→ 2000R Phase 3: finalize:  75%|███████▍  | 241/323 [00:04<00:01, 52.34it/s]

→ 2000R Phase 3: finalize:  76%|███████▋  | 247/323 [00:04<00:01, 51.54it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 253/323 [00:04<00:01, 51.24it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 259/323 [00:04<00:01, 51.29it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 265/323 [00:04<00:01, 51.12it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 271/323 [00:05<00:01, 50.90it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 277/323 [00:05<00:00, 50.75it/s]

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→ 2000R Phase 3: finalize:  89%|████████▉ | 289/323 [00:05<00:00, 50.17it/s]

→ 2000R Phase 3: finalize:  91%|█████████▏| 295/323 [00:05<00:00, 49.82it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 300/323 [00:05<00:00, 49.79it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 305/323 [00:05<00:00, 49.70it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 311/323 [00:05<00:00, 50.02it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 317/323 [00:06<00:00, 49.99it/s]

→ 2000R Phase 3: finalize: 100%|██████████| 323/323 [00:06<00:00, 50.63it/s]

                                                                            
[TIMING] 2000R — 323 frames
  Phase 1  radial detect   (parallel)  :   5.10s  (15.8 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.40s  (7.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.38s
  Phase 3  finalize        (sequential):   6.14s  (19.0 ms/frame)
    decode + undistort                 :   3.30s  (10.2 ms/frame)
    corner apply + refinement          :   1.34s  (4.1 ms/frame)
    segment                            :   1.21s  (3.8 ms/frame)
    smooth                             :   0.19s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  14.02s


Processing Rigs:  25%|██▌       | 1/4 [00:20<01:00, 20.13s/it][INFO] Filtered 894 stationary frames, 558 remain


→ 1500 (558 images) Phase 1:   0%|          | 0/558 [00:00<?, ?it/s]

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→ 1500 (558 images) Phase 1:  57%|█████▋    | 320/558 [00:04<00:02, 82.67it/s]

→ 1500 (558 images) Phase 1:  59%|█████▉    | 332/558 [00:05<00:03, 63.49it/s]

→ 1500 (558 images) Phase 1:  63%|██████▎   | 352/558 [00:05<00:02, 83.06it/s]

→ 1500 (558 images) Phase 1:  65%|██████▌   | 365/558 [00:05<00:02, 64.67it/s]

→ 1500 (558 images) Phase 1:  69%|██████▉   | 384/558 [00:05<00:02, 83.16it/s]

→ 1500 (558 images) Phase 1:  71%|███████   | 397/558 [00:06<00:02, 63.71it/s]

→ 1500 (558 images) Phase 1:  75%|███████▍  | 417/558 [00:06<00:02, 63.24it/s]

→ 1500 (558 images) Phase 1:  76%|███████▋  | 426/558 [00:06<00:01, 66.10it/s]

→ 1500 (558 images) Phase 1:  80%|████████  | 449/558 [00:06<00:01, 67.97it/s]

→ 1500 (558 images) Phase 1:  82%|████████▏ | 458/558 [00:06<00:01, 68.90it/s]

→ 1500 (558 images) Phase 1:  86%|████████▌ | 481/558 [00:07<00:01, 70.97it/s]

→ 1500 (558 images) Phase 1:  88%|████████▊ | 489/558 [00:07<00:00, 71.11it/s]

→ 1500 (558 images) Phase 1:  92%|█████████▏| 512/558 [00:07<00:00, 97.75it/s]

→ 1500 (558 images) Phase 1:  94%|█████████▍| 524/558 [00:07<00:00, 68.78it/s]

→ 1500 (558 images) Phase 1:  98%|█████████▊| 545/558 [00:08<00:00, 72.48it/s]

→ 1500 (558 images) Phase 1: 100%|█████████▉| 557/558 [00:08<00:00, 76.71it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/558 [00:00<?, ?it/s]

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→ 1500 Phase 2: corners:   7%|▋         | 37/558 [00:00<00:06, 82.25it/s]

→ 1500 Phase 2: corners:   9%|▉         | 51/558 [00:00<00:05, 98.42it/s]

→ 1500 Phase 2: corners:  11%|█▏        | 64/558 [00:00<00:04, 106.70it/s]

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→ 1500 Phase 2: corners:  31%|███       | 174/558 [00:01<00:05, 75.43it/s] 

→ 1500 Phase 2: corners:  34%|███▍      | 189/558 [00:02<00:04, 89.31it/s]

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→ 1500 Phase 2: corners:  44%|████▍     | 246/558 [00:02<00:02, 122.64it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 265/558 [00:02<00:02, 134.61it/s]

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→ 1500 Phase 2: corners:  57%|█████▋    | 319/558 [00:02<00:01, 160.16it/s]

→ 1500 Phase 2: corners:  61%|██████    | 338/558 [00:02<00:01, 167.44it/s]

→ 1500 Phase 2: corners:  64%|██████▍   | 356/558 [00:03<00:01, 165.58it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 375/558 [00:03<00:01, 171.27it/s]

→ 1500 Phase 2: corners:  70%|███████   | 393/558 [00:03<00:01, 164.64it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 413/558 [00:03<00:00, 173.07it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 432/558 [00:03<00:00, 176.73it/s]

→ 1500 Phase 2: corners:  81%|████████  | 451/558 [00:03<00:00, 179.63it/s]

→ 1500 Phase 2: corners:  84%|████████▍ | 470/558 [00:03<00:00, 177.94it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 488/558 [00:03<00:00, 166.56it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 505/558 [00:03<00:00, 158.24it/s]

→ 1500 Phase 2: corners:  94%|█████████▍| 524/558 [00:04<00:00, 166.82it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 0 untrusted, 558 total


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→ 1500 Phase 3: finalize:  21%|██        | 118/558 [00:01<00:07, 61.65it/s]

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→ 1500 Phase 3: finalize:  31%|███       | 174/558 [00:02<00:06, 62.96it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 181/558 [00:02<00:06, 62.77it/s]

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→ 1500 Phase 3: finalize:  50%|█████     | 279/558 [00:04<00:04, 62.60it/s]

→ 1500 Phase 3: finalize:  51%|█████▏    | 286/558 [00:04<00:04, 62.62it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 293/558 [00:04<00:04, 62.57it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 300/558 [00:04<00:04, 62.51it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 307/558 [00:04<00:04, 62.60it/s]

→ 1500 Phase 3: finalize:  56%|█████▋    | 314/558 [00:05<00:03, 62.44it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 321/558 [00:05<00:03, 62.64it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 328/558 [00:05<00:03, 62.68it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 335/558 [00:05<00:03, 62.77it/s]

→ 1500 Phase 3: finalize:  61%|██████▏   | 342/558 [00:05<00:03, 62.74it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 349/558 [00:05<00:03, 62.57it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 356/558 [00:05<00:03, 62.15it/s]

→ 1500 Phase 3: finalize:  65%|██████▌   | 363/558 [00:05<00:03, 62.22it/s]

→ 1500 Phase 3: finalize:  66%|██████▋   | 370/558 [00:05<00:03, 62.41it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 377/558 [00:06<00:02, 62.55it/s]

→ 1500 Phase 3: finalize:  69%|██████▉   | 384/558 [00:06<00:02, 62.89it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 391/558 [00:06<00:02, 63.33it/s]

→ 1500 Phase 3: finalize:  71%|███████▏  | 398/558 [00:06<00:02, 63.73it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 405/558 [00:06<00:02, 63.89it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 412/558 [00:06<00:02, 64.01it/s]

→ 1500 Phase 3: finalize:  75%|███████▌  | 419/558 [00:06<00:02, 63.95it/s]

→ 1500 Phase 3: finalize:  76%|███████▋  | 426/558 [00:06<00:02, 64.04it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 433/558 [00:06<00:01, 63.82it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 440/558 [00:07<00:01, 61.73it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 447/558 [00:07<00:01, 59.46it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 453/558 [00:07<00:01, 58.12it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 459/558 [00:07<00:01, 57.14it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 465/558 [00:07<00:01, 56.46it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 471/558 [00:07<00:01, 55.77it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 477/558 [00:07<00:01, 55.33it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 483/558 [00:07<00:01, 55.16it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 489/558 [00:07<00:01, 54.84it/s]

→ 1500 Phase 3: finalize:  89%|████████▊ | 495/558 [00:08<00:01, 54.43it/s]

→ 1500 Phase 3: finalize:  90%|████████▉ | 501/558 [00:08<00:01, 53.35it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 507/558 [00:08<00:00, 52.53it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 513/558 [00:08<00:00, 49.31it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 519/558 [00:08<00:00, 49.83it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 525/558 [00:08<00:00, 49.65it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 531/558 [00:08<00:00, 49.96it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 537/558 [00:08<00:00, 50.20it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 543/558 [00:09<00:00, 50.39it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 549/558 [00:09<00:00, 50.54it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 555/558 [00:09<00:00, 50.78it/s]

                                                                           
[TIMING] 1500 — 558 frames
  Phase 1  radial detect   (parallel)  :   8.31s  (14.9 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.18s  (7.5 ms/frame)
  Phase 2b corner fix      (sequential):   0.12s
  Phase 3  finalize        (sequential):   9.31s  (16.7 ms/frame)
    decode + undistort                 :   4.44s  (8.0 ms/frame)
    corner apply + refinement          :   2.15s  (3.8 ms/frame)
    segment                            :   2.23s  (4.0 ms/frame)
    smooth                             :   0.31s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  21.92s


Processing Rigs:  50%|█████     | 2/4 [00:46<00:47, 23.87s/it][INFO] Filtered 669 stationary frames, 445 remain


→ 1000 (445 images) Phase 1:   0%|          | 0/445 [00:00<?, ?it/s]

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→ 1000 (445 images) Phase 1:   0%|          | 2/445 [00:01<04:59,  1.48it/s]

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→ 1000 (445 images) Phase 1:   4%|▍         | 18/445 [00:01<00:19, 21.76it/s]

→ 1000 (445 images) Phase 1:   6%|▌         | 25/445 [00:02<00:18, 22.98it/s]

→ 1000 (445 images) Phase 1:   7%|▋         | 30/445 [00:02<00:15, 26.71it/s]

→ 1000 (445 images) Phase 1:   9%|▉         | 39/445 [00:02<00:10, 37.49it/s]

→ 1000 (445 images) Phase 1:  10%|█         | 46/445 [00:02<00:09, 42.20it/s]

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→ 1000 (445 images) Phase 1:  14%|█▍        | 62/445 [00:02<00:10, 38.18it/s]

→ 1000 (445 images) Phase 1:  15%|█▌        | 68/445 [00:02<00:08, 42.11it/s]

→ 1000 (445 images) Phase 1:  17%|█▋        | 76/445 [00:03<00:07, 49.55it/s]

→ 1000 (445 images) Phase 1:  19%|█▉        | 86/445 [00:03<00:06, 57.37it/s]

→ 1000 (445 images) Phase 1:  21%|██        | 93/445 [00:03<00:07, 48.92it/s]

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→ 1000 (445 images) Phase 1:  24%|██▍       | 106/445 [00:03<00:07, 46.48it/s]

→ 1000 (445 images) Phase 1:  25%|██▌       | 113/445 [00:03<00:06, 50.10it/s]

→ 1000 (445 images) Phase 1:  27%|██▋       | 120/445 [00:03<00:06, 53.81it/s]

→ 1000 (445 images) Phase 1:  28%|██▊       | 126/445 [00:04<00:06, 50.68it/s]

→ 1000 (445 images) Phase 1:  30%|██▉       | 132/445 [00:04<00:06, 49.34it/s]

→ 1000 (445 images) Phase 1:  31%|███       | 138/445 [00:04<00:06, 48.01it/s]

→ 1000 (445 images) Phase 1:  32%|███▏      | 143/445 [00:04<00:06, 46.83it/s]

→ 1000 (445 images) Phase 1:  33%|███▎      | 148/445 [00:04<00:06, 44.52it/s]

→ 1000 (445 images) Phase 1:  35%|███▍      | 155/445 [00:04<00:05, 49.02it/s]

→ 1000 (445 images) Phase 1:  37%|███▋      | 165/445 [00:04<00:04, 61.05it/s]

→ 1000 (445 images) Phase 1:  39%|███▊      | 172/445 [00:04<00:05, 52.31it/s]

→ 1000 (445 images) Phase 1:  40%|████      | 178/445 [00:05<00:05, 45.83it/s]

→ 1000 (445 images) Phase 1:  42%|████▏     | 185/445 [00:05<00:05, 45.53it/s]

→ 1000 (445 images) Phase 1:  43%|████▎     | 192/445 [00:05<00:05, 50.36it/s]

→ 1000 (445 images) Phase 1:  45%|████▍     | 199/445 [00:05<00:04, 54.08it/s]

→ 1000 (445 images) Phase 1:  46%|████▌     | 205/445 [00:05<00:04, 52.17it/s]

→ 1000 (445 images) Phase 1:  47%|████▋     | 211/445 [00:05<00:04, 48.71it/s]

→ 1000 (445 images) Phase 1:  49%|████▉     | 217/445 [00:05<00:04, 49.74it/s]

→ 1000 (445 images) Phase 1:  50%|█████     | 223/445 [00:06<00:04, 49.52it/s]

→ 1000 (445 images) Phase 1:  51%|█████▏    | 229/445 [00:06<00:04, 51.14it/s]

→ 1000 (445 images) Phase 1:  53%|█████▎    | 235/445 [00:06<00:04, 51.74it/s]

→ 1000 (445 images) Phase 1:  54%|█████▍    | 241/445 [00:06<00:03, 53.93it/s]

→ 1000 (445 images) Phase 1:  56%|█████▌    | 248/445 [00:06<00:03, 58.31it/s]

→ 1000 (445 images) Phase 1:  57%|█████▋    | 254/445 [00:06<00:03, 52.86it/s]

→ 1000 (445 images) Phase 1:  58%|█████▊    | 260/445 [00:06<00:04, 42.02it/s]

→ 1000 (445 images) Phase 1:  60%|██████    | 268/445 [00:06<00:03, 48.99it/s]

→ 1000 (445 images) Phase 1:  62%|██████▏   | 276/445 [00:07<00:03, 55.41it/s]

→ 1000 (445 images) Phase 1:  64%|██████▎   | 283/445 [00:07<00:02, 55.01it/s]

→ 1000 (445 images) Phase 1:  65%|██████▍   | 289/445 [00:07<00:03, 48.59it/s]

→ 1000 (445 images) Phase 1:  66%|██████▋   | 295/445 [00:07<00:03, 46.27it/s]

→ 1000 (445 images) Phase 1:  68%|██████▊   | 302/445 [00:07<00:02, 49.59it/s]

→ 1000 (445 images) Phase 1:  69%|██████▉   | 308/445 [00:07<00:02, 49.66it/s]

→ 1000 (445 images) Phase 1:  71%|███████   | 314/445 [00:07<00:02, 47.61it/s]

→ 1000 (445 images) Phase 1:  72%|███████▏  | 321/445 [00:07<00:02, 51.64it/s]

→ 1000 (445 images) Phase 1:  74%|███████▎  | 328/445 [00:08<00:02, 52.87it/s]

→ 1000 (445 images) Phase 1:  75%|███████▌  | 334/445 [00:08<00:02, 50.92it/s]

→ 1000 (445 images) Phase 1:  76%|███████▋  | 340/445 [00:08<00:02, 49.69it/s]

→ 1000 (445 images) Phase 1:  78%|███████▊  | 346/445 [00:08<00:02, 49.37it/s]

→ 1000 (445 images) Phase 1:  79%|███████▉  | 352/445 [00:08<00:01, 48.44it/s]

→ 1000 (445 images) Phase 1:  81%|████████  | 359/445 [00:08<00:01, 50.69it/s]

→ 1000 (445 images) Phase 1:  82%|████████▏ | 365/445 [00:08<00:01, 48.39it/s]

→ 1000 (445 images) Phase 1:  84%|████████▎ | 372/445 [00:08<00:01, 53.58it/s]

→ 1000 (445 images) Phase 1:  85%|████████▌ | 380/445 [00:09<00:01, 58.29it/s]

→ 1000 (445 images) Phase 1:  87%|████████▋ | 386/445 [00:09<00:01, 46.64it/s]

→ 1000 (445 images) Phase 1:  88%|████████▊ | 393/445 [00:09<00:01, 51.76it/s]

→ 1000 (445 images) Phase 1:  90%|████████▉ | 399/445 [00:09<00:00, 50.53it/s]

→ 1000 (445 images) Phase 1:  91%|█████████ | 405/445 [00:09<00:00, 51.92it/s]

→ 1000 (445 images) Phase 1:  92%|█████████▏| 411/445 [00:09<00:00, 47.22it/s]

→ 1000 (445 images) Phase 1:  94%|█████████▍| 419/445 [00:09<00:00, 50.99it/s]

→ 1000 (445 images) Phase 1:  96%|█████████▌| 428/445 [00:10<00:00, 58.07it/s]

→ 1000 (445 images) Phase 1:  98%|█████████▊| 434/445 [00:10<00:00, 58.25it/s]

→ 1000 (445 images) Phase 1:  99%|█████████▉| 442/445 [00:10<00:00, 61.48it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/445 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/445 [00:01<07:29,  1.01s/it]

→ 1000 Phase 2: corners:   2%|▏         | 8/445 [00:01<00:46,  9.49it/s]

→ 1000 Phase 2: corners:   4%|▎         | 16/445 [00:01<00:21, 19.85it/s]

→ 1000 Phase 2: corners:   5%|▌         | 24/445 [00:01<00:14, 29.97it/s]

→ 1000 Phase 2: corners:   7%|▋         | 33/445 [00:01<00:10, 40.19it/s]

→ 1000 Phase 2: corners:   9%|▉         | 40/445 [00:01<00:09, 42.54it/s]

→ 1000 Phase 2: corners:  11%|█▏        | 51/445 [00:01<00:07, 55.40it/s]

→ 1000 Phase 2: corners:  13%|█▎        | 59/445 [00:01<00:06, 58.04it/s]

→ 1000 Phase 2: corners:  15%|█▌        | 67/445 [00:01<00:06, 60.31it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 78/445 [00:02<00:05, 70.17it/s]

→ 1000 Phase 2: corners:  19%|█▉        | 86/445 [00:02<00:05, 69.00it/s]

→ 1000 Phase 2: corners:  22%|██▏       | 96/445 [00:02<00:04, 74.24it/s]

→ 1000 Phase 2: corners:  24%|██▎       | 105/445 [00:02<00:04, 75.13it/s]

→ 1000 Phase 2: corners:  26%|██▌       | 115/445 [00:02<00:04, 81.37it/s]

→ 1000 Phase 2: corners:  28%|██▊       | 124/445 [00:02<00:03, 83.66it/s]

→ 1000 Phase 2: corners:  30%|██▉       | 133/445 [00:02<00:03, 81.38it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 143/445 [00:02<00:03, 85.20it/s]

→ 1000 Phase 2: corners:  35%|███▍      | 155/445 [00:02<00:03, 92.35it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 168/445 [00:03<00:02, 98.81it/s]

→ 1000 Phase 2: corners:  40%|████      | 180/445 [00:03<00:02, 101.93it/s]

→ 1000 Phase 2: corners:  43%|████▎     | 192/445 [00:03<00:02, 104.51it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 204/445 [00:03<00:02, 103.81it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 217/445 [00:03<00:02, 107.14it/s]

→ 1000 Phase 2: corners:  51%|█████     | 228/445 [00:03<00:02, 102.05it/s]

→ 1000 Phase 2: corners:  54%|█████▎    | 239/445 [00:03<00:02, 102.80it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 250/445 [00:03<00:01, 101.32it/s]

→ 1000 Phase 2: corners:  59%|█████▊    | 261/445 [00:04<00:02, 86.86it/s] 

→ 1000 Phase 2: corners:  61%|██████    | 271/445 [00:04<00:01, 87.11it/s]

→ 1000 Phase 2: corners:  64%|██████▎   | 283/445 [00:04<00:01, 95.29it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 293/445 [00:04<00:01, 91.31it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 303/445 [00:04<00:01, 92.77it/s]

→ 1000 Phase 2: corners:  70%|███████   | 313/445 [00:04<00:01, 83.79it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 322/445 [00:04<00:01, 82.99it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 331/445 [00:04<00:01, 80.81it/s]

→ 1000 Phase 2: corners:  77%|███████▋  | 343/445 [00:04<00:01, 89.73it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 353/445 [00:05<00:01, 86.16it/s]

→ 1000 Phase 2: corners:  81%|████████▏ | 362/445 [00:05<00:00, 83.97it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 373/445 [00:05<00:00, 90.45it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 383/445 [00:05<00:00, 87.13it/s]

→ 1000 Phase 2: corners:  88%|████████▊ | 392/445 [00:05<00:00, 85.22it/s]

→ 1000 Phase 2: corners:  91%|█████████ | 403/445 [00:05<00:00, 90.13it/s]

→ 1000 Phase 2: corners:  94%|█████████▍| 418/445 [00:05<00:00, 104.28it/s]

→ 1000 Phase 2: corners:  96%|█████████▋| 429/445 [00:05<00:00, 101.54it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 440/445 [00:05<00:00, 100.59it/s]

                                                                           

→ 1000 Phase 3: finalize:   0%|          | 0/445 [00:00<?, ?it/s][PASS2] Summary: 0 frames fixed, 1 untrusted, 445 total


→ 1000 Phase 3: finalize:   1%|          | 4/445 [00:00<00:11, 38.08it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 8/445 [00:00<00:11, 39.01it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 12/445 [00:00<00:11, 39.33it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 17/445 [00:00<00:10, 41.89it/s]

→ 1000 Phase 3: finalize:   5%|▍         | 22/445 [00:00<00:10, 41.12it/s]

→ 1000 Phase 3: finalize:   6%|▌         | 27/445 [00:00<00:10, 40.57it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 32/445 [00:00<00:10, 40.33it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 37/445 [00:00<00:10, 40.29it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 42/445 [00:01<00:09, 40.39it/s]

→ 1000 Phase 3: finalize:  11%|█         | 47/445 [00:01<00:09, 40.48it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 52/445 [00:01<00:09, 40.72it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 57/445 [00:01<00:09, 41.85it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 62/445 [00:01<00:08, 42.60it/s]

→ 1000 Phase 3: finalize:  15%|█▌        | 67/445 [00:01<00:08, 43.16it/s]

→ 1000 Phase 3: finalize:  16%|█▌        | 72/445 [00:01<00:08, 42.52it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 77/445 [00:01<00:08, 41.91it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 82/445 [00:01<00:08, 42.17it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 87/445 [00:02<00:08, 42.84it/s]

→ 1000 Phase 3: finalize:  21%|██        | 92/445 [00:02<00:08, 43.25it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 97/445 [00:02<00:08, 43.47it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 102/445 [00:02<00:07, 43.22it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 107/445 [00:02<00:07, 43.50it/s]

→ 1000 Phase 3: finalize:  25%|██▌       | 112/445 [00:02<00:07, 43.67it/s]

→ 1000 Phase 3: finalize:  26%|██▋       | 117/445 [00:02<00:07, 43.69it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 122/445 [00:02<00:07, 43.97it/s]

→ 1000 Phase 3: finalize:  29%|██▊       | 127/445 [00:02<00:06, 45.51it/s]

→ 1000 Phase 3: finalize:  30%|██▉       | 133/445 [00:03<00:06, 47.17it/s]

→ 1000 Phase 3: finalize:  31%|███       | 138/445 [00:03<00:06, 47.40it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 143/445 [00:03<00:06, 47.58it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 148/445 [00:03<00:06, 47.61it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 153/445 [00:03<00:06, 47.54it/s]

→ 1000 Phase 3: finalize:  36%|███▌      | 158/445 [00:03<00:06, 47.48it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 163/445 [00:03<00:05, 47.44it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 168/445 [00:03<00:05, 47.82it/s]

→ 1000 Phase 3: finalize:  39%|███▉      | 173/445 [00:03<00:05, 47.57it/s]

→ 1000 Phase 3: finalize:  40%|████      | 178/445 [00:04<00:05, 47.61it/s]

→ 1000 Phase 3: finalize:  41%|████      | 183/445 [00:04<00:05, 47.60it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 188/445 [00:04<00:05, 47.65it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 193/445 [00:04<00:05, 47.73it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 198/445 [00:04<00:05, 48.21it/s]

→ 1000 Phase 3: finalize:  46%|████▌     | 204/445 [00:04<00:04, 49.27it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 209/445 [00:04<00:04, 48.93it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 214/445 [00:04<00:04, 48.72it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 219/445 [00:04<00:04, 48.53it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 224/445 [00:05<00:04, 48.37it/s]

→ 1000 Phase 3: finalize:  51%|█████▏    | 229/445 [00:05<00:04, 48.32it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 234/445 [00:05<00:04, 48.20it/s]

→ 1000 Phase 3: finalize:  54%|█████▎    | 239/445 [00:05<00:04, 48.15it/s]

→ 1000 Phase 3: finalize:  55%|█████▍    | 244/445 [00:05<00:04, 48.11it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 249/445 [00:05<00:04, 48.14it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 255/445 [00:05<00:03, 49.97it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 260/445 [00:05<00:03, 49.55it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 265/445 [00:05<00:03, 49.08it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 270/445 [00:05<00:03, 48.77it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 275/445 [00:06<00:03, 48.45it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 280/445 [00:06<00:03, 48.18it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 285/445 [00:06<00:03, 47.90it/s]

→ 1000 Phase 3: finalize:  65%|██████▌   | 290/445 [00:06<00:03, 47.15it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 296/445 [00:06<00:03, 48.75it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 301/445 [00:06<00:02, 48.83it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 306/445 [00:06<00:02, 48.23it/s]

→ 1000 Phase 3: finalize:  70%|██████▉   | 311/445 [00:06<00:02, 48.43it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 316/445 [00:06<00:02, 48.07it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 322/445 [00:07<00:02, 49.12it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 327/445 [00:07<00:02, 48.97it/s]

→ 1000 Phase 3: finalize:  75%|███████▍  | 332/445 [00:07<00:02, 48.51it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 337/445 [00:07<00:02, 48.28it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 342/445 [00:07<00:02, 48.58it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 347/445 [00:07<00:02, 48.48it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 352/445 [00:07<00:01, 48.39it/s]

→ 1000 Phase 3: finalize:  80%|████████  | 357/445 [00:07<00:01, 48.44it/s]

→ 1000 Phase 3: finalize:  81%|████████▏ | 362/445 [00:07<00:01, 48.53it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 367/445 [00:07<00:01, 48.63it/s]

→ 1000 Phase 3: finalize:  84%|████████▎ | 372/445 [00:08<00:01, 48.66it/s]

→ 1000 Phase 3: finalize:  85%|████████▍ | 377/445 [00:08<00:01, 48.74it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 383/445 [00:08<00:01, 51.34it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 389/445 [00:08<00:01, 51.28it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 396/445 [00:08<00:00, 55.90it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 402/445 [00:08<00:00, 55.86it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 408/445 [00:08<00:00, 53.82it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 414/445 [00:08<00:00, 52.44it/s]

→ 1000 Phase 3: finalize:  94%|█████████▍| 420/445 [00:08<00:00, 52.69it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 426/445 [00:09<00:00, 49.82it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 432/445 [00:09<00:00, 47.79it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 437/445 [00:09<00:00, 44.96it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 442/445 [00:09<00:00, 42.20it/s]

                                                                           
[TIMING] 1000 — 445 frames
  Phase 1  radial detect   (parallel)  :  10.45s  (23.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.14s  (13.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.19s
  Phase 3  finalize        (sequential):   9.57s  (21.5 ms/frame)
    decode + undistort                 :   3.84s  (8.6 ms/frame)
    corner apply + refinement          :   2.33s  (5.2 ms/frame)
    segment                            :   2.83s  (6.4 ms/frame)
    smooth                             :   0.33s  (0.7 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  26.35s


Processing Rigs:  75%|███████▌  | 3/4 [01:17<00:27, 27.06s/it][INFO] Filtered 1132 stationary frames, 293 remain


→ 2000L (293 images) Phase 1:   0%|          | 0/293 [00:00<?, ?it/s]

→ 2000L (293 images) Phase 1:   0%|          | 1/293 [00:01<06:41,  1.37s/it]

→ 2000L (293 images) Phase 1:   1%|          | 3/293 [00:01<02:11,  2.20it/s]

→ 2000L (293 images) Phase 1:   2%|▏         | 7/293 [00:01<00:47,  6.01it/s]

→ 2000L (293 images) Phase 1:   3%|▎         | 10/293 [00:01<00:31,  9.00it/s]

→ 2000L (293 images) Phase 1:   8%|▊         | 23/293 [00:01<00:09, 27.47it/s]

→ 2000L (293 images) Phase 1:  12%|█▏        | 35/293 [00:02<00:06, 37.17it/s]

→ 2000L (293 images) Phase 1:  14%|█▍        | 41/293 [00:02<00:07, 31.56it/s]

→ 2000L (293 images) Phase 1:  16%|█▌        | 46/293 [00:02<00:08, 30.29it/s]

→ 2000L (293 images) Phase 1:  17%|█▋        | 51/293 [00:02<00:08, 30.02it/s]

→ 2000L (293 images) Phase 1:  22%|██▏       | 65/293 [00:02<00:04, 49.37it/s]

→ 2000L (293 images) Phase 1:  26%|██▌       | 75/293 [00:03<00:04, 54.07it/s]

→ 2000L (293 images) Phase 1:  28%|██▊       | 82/293 [00:03<00:05, 35.79it/s]

→ 2000L (293 images) Phase 1:  30%|███       | 88/293 [00:03<00:05, 38.50it/s]

→ 2000L (293 images) Phase 1:  32%|███▏      | 95/293 [00:03<00:04, 43.12it/s]

→ 2000L (293 images) Phase 1:  37%|███▋      | 108/293 [00:03<00:03, 57.61it/s]

→ 2000L (293 images) Phase 1:  39%|███▉      | 115/293 [00:04<00:03, 46.77it/s]

→ 2000L (293 images) Phase 1:  41%|████▏     | 121/293 [00:04<00:04, 42.75it/s]

→ 2000L (293 images) Phase 1:  43%|████▎     | 127/293 [00:04<00:03, 44.18it/s]

→ 2000L (293 images) Phase 1:  46%|████▌     | 134/293 [00:04<00:03, 47.76it/s]

→ 2000L (293 images) Phase 1:  48%|████▊     | 140/293 [00:04<00:03, 46.49it/s]

→ 2000L (293 images) Phase 1:  51%|█████     | 149/293 [00:04<00:02, 56.24it/s]

→ 2000L (293 images) Phase 1:  53%|█████▎    | 156/293 [00:04<00:02, 48.33it/s]

→ 2000L (293 images) Phase 1:  55%|█████▌    | 162/293 [00:05<00:02, 46.52it/s]

→ 2000L (293 images) Phase 1:  57%|█████▋    | 168/293 [00:05<00:02, 43.36it/s]

→ 2000L (293 images) Phase 1:  59%|█████▉    | 174/293 [00:05<00:02, 46.81it/s]

→ 2000L (293 images) Phase 1:  62%|██████▏   | 181/293 [00:05<00:02, 50.84it/s]

→ 2000L (293 images) Phase 1:  64%|██████▍   | 188/293 [00:05<00:01, 52.65it/s]

→ 2000L (293 images) Phase 1:  66%|██████▌   | 194/293 [00:05<00:02, 48.75it/s]

→ 2000L (293 images) Phase 1:  68%|██████▊   | 200/293 [00:05<00:01, 48.32it/s]

→ 2000L (293 images) Phase 1:  71%|███████   | 207/293 [00:05<00:01, 51.36it/s]

→ 2000L (293 images) Phase 1:  73%|███████▎  | 213/293 [00:06<00:01, 48.77it/s]

→ 2000L (293 images) Phase 1:  74%|███████▍  | 218/293 [00:06<00:01, 42.53it/s]

→ 2000L (293 images) Phase 1:  76%|███████▋  | 224/293 [00:06<00:01, 45.78it/s]

→ 2000L (293 images) Phase 1:  80%|███████▉  | 234/293 [00:06<00:01, 55.19it/s]

→ 2000L (293 images) Phase 1:  82%|████████▏ | 240/293 [00:06<00:01, 53.00it/s]

→ 2000L (293 images) Phase 1:  84%|████████▍ | 246/293 [00:06<00:00, 48.48it/s]

→ 2000L (293 images) Phase 1:  86%|████████▌ | 252/293 [00:06<00:00, 49.33it/s]

→ 2000L (293 images) Phase 1:  88%|████████▊ | 258/293 [00:06<00:00, 47.77it/s]

→ 2000L (293 images) Phase 1:  90%|█████████ | 264/293 [00:07<00:00, 47.11it/s]

→ 2000L (293 images) Phase 1:  92%|█████████▏| 271/293 [00:07<00:00, 52.64it/s]

→ 2000L (293 images) Phase 1:  95%|█████████▍| 277/293 [00:07<00:00, 54.13it/s]

→ 2000L (293 images) Phase 1:  98%|█████████▊| 288/293 [00:07<00:00, 66.90it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/293 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/293 [00:01<05:04,  1.04s/it]

→ 2000L Phase 2: corners:   2%|▏         | 7/293 [00:01<00:36,  7.88it/s]

→ 2000L Phase 2: corners:   5%|▌         | 15/293 [00:01<00:15, 18.00it/s]

→ 2000L Phase 2: corners:   9%|▊         | 25/293 [00:01<00:08, 29.85it/s]

→ 2000L Phase 2: corners:  11%|█         | 32/293 [00:01<00:07, 35.86it/s]

→ 2000L Phase 2: corners:  14%|█▎        | 40/293 [00:01<00:05, 43.87it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 47/293 [00:01<00:05, 46.33it/s]

→ 2000L Phase 2: corners:  19%|█▉        | 55/293 [00:01<00:04, 52.44it/s]

→ 2000L Phase 2: corners:  22%|██▏       | 64/293 [00:02<00:03, 60.46it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 71/293 [00:02<00:03, 59.83it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 81/293 [00:02<00:03, 68.63it/s]

→ 2000L Phase 2: corners:  30%|███       | 89/293 [00:02<00:02, 70.64it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 97/293 [00:02<00:02, 70.61it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 105/293 [00:02<00:02, 69.35it/s]

→ 2000L Phase 2: corners:  39%|███▊      | 113/293 [00:02<00:02, 69.64it/s]

→ 2000L Phase 2: corners:  42%|████▏     | 122/293 [00:02<00:02, 70.39it/s]

→ 2000L Phase 2: corners:  45%|████▍     | 131/293 [00:02<00:02, 71.36it/s]

→ 2000L Phase 2: corners:  48%|████▊     | 140/293 [00:03<00:02, 75.85it/s]

→ 2000L Phase 2: corners:  51%|█████     | 148/293 [00:03<00:01, 76.94it/s]

→ 2000L Phase 2: corners:  54%|█████▎    | 157/293 [00:03<00:01, 79.90it/s]

→ 2000L Phase 2: corners:  57%|█████▋    | 166/293 [00:03<00:01, 80.77it/s]

→ 2000L Phase 2: corners:  60%|██████    | 177/293 [00:03<00:01, 86.53it/s]

→ 2000L Phase 2: corners:  65%|██████▍   | 190/293 [00:03<00:01, 94.47it/s]

→ 2000L Phase 2: corners:  69%|██████▊   | 201/293 [00:03<00:00, 96.48it/s]

→ 2000L Phase 2: corners:  72%|███████▏  | 211/293 [00:03<00:00, 95.28it/s]

→ 2000L Phase 2: corners:  75%|███████▌  | 221/293 [00:03<00:00, 86.21it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 231/293 [00:04<00:00, 89.81it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 241/293 [00:04<00:00, 80.87it/s]

→ 2000L Phase 2: corners:  85%|████████▌ | 250/293 [00:04<00:00, 71.27it/s]

→ 2000L Phase 2: corners:  89%|████████▉ | 262/293 [00:04<00:00, 75.78it/s]

→ 2000L Phase 2: corners:  92%|█████████▏| 270/293 [00:04<00:00, 72.07it/s]

→ 2000L Phase 2: corners:  96%|█████████▌| 282/293 [00:04<00:00, 80.17it/s]

→ 2000L Phase 2: corners: 100%|█████████▉| 292/293 [00:04<00:00, 80.19it/s]

                                                                           [PASS2] Frame 0000973: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 3 untrusted, 293 total


→ 2000L Phase 3: finalize:   0%|          | 0/293 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   1%|▏         | 4/293 [00:00<00:07, 38.34it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 8/293 [00:00<00:07, 37.35it/s]

→ 2000L Phase 3: finalize:   4%|▍         | 12/293 [00:00<00:07, 37.81it/s]

→ 2000L Phase 3: finalize:   5%|▌         | 16/293 [00:00<00:07, 37.73it/s]

→ 2000L Phase 3: finalize:   7%|▋         | 21/293 [00:00<00:06, 39.43it/s]

→ 2000L Phase 3: finalize:   9%|▊         | 25/293 [00:00<00:06, 38.63it/s]

→ 2000L Phase 3: finalize:  10%|▉         | 29/293 [00:00<00:06, 38.27it/s]

→ 2000L Phase 3: finalize:  11%|█▏        | 33/293 [00:00<00:06, 38.02it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 37/293 [00:00<00:06, 37.70it/s]

→ 2000L Phase 3: finalize:  14%|█▍        | 41/293 [00:01<00:06, 37.48it/s]

→ 2000L Phase 3: finalize:  15%|█▌        | 45/293 [00:01<00:06, 37.59it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 50/293 [00:01<00:06, 39.59it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 56/293 [00:01<00:05, 43.67it/s]

→ 2000L Phase 3: finalize:  21%|██        | 61/293 [00:01<00:05, 44.57it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 66/293 [00:01<00:05, 43.77it/s]

→ 2000L Phase 3: finalize:  24%|██▍       | 71/293 [00:01<00:05, 43.28it/s]

→ 2000L Phase 3: finalize:  26%|██▌       | 76/293 [00:01<00:05, 42.95it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 81/293 [00:01<00:04, 43.00it/s]

→ 2000L Phase 3: finalize:  29%|██▉       | 86/293 [00:02<00:04, 42.86it/s]

→ 2000L Phase 3: finalize:  31%|███       | 91/293 [00:02<00:04, 41.85it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 96/293 [00:02<00:04, 42.48it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 101/293 [00:02<00:04, 42.37it/s]

→ 2000L Phase 3: finalize:  36%|███▌      | 106/293 [00:02<00:04, 42.31it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 111/293 [00:02<00:04, 41.17it/s]

→ 2000L Phase 3: finalize:  40%|███▉      | 116/293 [00:02<00:04, 41.37it/s]

→ 2000L Phase 3: finalize:  41%|████▏     | 121/293 [00:02<00:04, 39.77it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 125/293 [00:03<00:04, 38.94it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 129/293 [00:03<00:04, 38.35it/s]

→ 2000L Phase 3: finalize:  45%|████▌     | 133/293 [00:03<00:04, 38.46it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 137/293 [00:03<00:04, 38.53it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 142/293 [00:03<00:03, 41.11it/s]

→ 2000L Phase 3: finalize:  50%|█████     | 147/293 [00:03<00:03, 42.58it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 152/293 [00:03<00:03, 42.70it/s]

→ 2000L Phase 3: finalize:  54%|█████▎    | 157/293 [00:03<00:03, 43.80it/s]

→ 2000L Phase 3: finalize:  55%|█████▌    | 162/293 [00:03<00:03, 42.32it/s]

→ 2000L Phase 3: finalize:  57%|█████▋    | 167/293 [00:04<00:03, 41.14it/s]

→ 2000L Phase 3: finalize:  59%|█████▊    | 172/293 [00:04<00:02, 40.36it/s]

→ 2000L Phase 3: finalize:  60%|██████    | 177/293 [00:04<00:02, 39.95it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 182/293 [00:04<00:02, 39.75it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 186/293 [00:04<00:02, 39.62it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 190/293 [00:04<00:02, 39.59it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 194/293 [00:04<00:02, 39.55it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 198/293 [00:04<00:02, 39.59it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 203/293 [00:05<00:02, 39.81it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 207/293 [00:05<00:02, 39.69it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 211/293 [00:05<00:02, 39.72it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 215/293 [00:05<00:01, 39.65it/s]

→ 2000L Phase 3: finalize:  75%|███████▍  | 219/293 [00:05<00:01, 39.62it/s]

→ 2000L Phase 3: finalize:  76%|███████▋  | 224/293 [00:05<00:01, 39.77it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 228/293 [00:05<00:01, 39.78it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 232/293 [00:05<00:01, 39.67it/s]

→ 2000L Phase 3: finalize:  81%|████████  | 236/293 [00:05<00:01, 39.69it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 241/293 [00:05<00:01, 39.77it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 246/293 [00:06<00:01, 39.88it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 251/293 [00:06<00:01, 39.95it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 256/293 [00:06<00:00, 40.01it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 261/293 [00:06<00:00, 40.11it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 266/293 [00:06<00:00, 40.16it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 271/293 [00:06<00:00, 40.23it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 276/293 [00:06<00:00, 39.89it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 280/293 [00:06<00:00, 39.67it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 285/293 [00:07<00:00, 39.72it/s]

→ 2000L Phase 3: finalize:  99%|█████████▊| 289/293 [00:07<00:00, 39.56it/s]

→ 2000L Phase 3: finalize: 100%|██████████| 293/293 [00:07<00:00, 39.44it/s]

                                                                            
[TIMING] 2000L — 293 frames
  Phase 1  radial detect   (parallel)  :   7.61s  (26.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   5.00s  (17.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.26s
  Phase 3  finalize        (sequential):   7.27s  (24.8 ms/frame)
    decode + undistort                 :   2.52s  (8.6 ms/frame)
    corner apply + refinement          :   2.07s  (7.1 ms/frame)
    segment                            :   2.24s  (7.6 ms/frame)
    smooth                             :   0.26s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  20.14s


Processing Rigs: 100%|██████████| 4/4 [01:44<00:00, 27.07s/it]
Processing Rigs: 100%|██████████| 4/4 [01:44<00:00, 26.14s/it]
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-10-06/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1619 frames from 4 rigs to /working/MDC034_W023(6)_2026-10-06/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-10-06/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 323
[📋] 1500: 100 frames selected from 558
[📋] 1000: 100 frames selected from 445
[📋] 2000L: 100 frames selected from 293
[💾] Saved RigFrameDataset to /working/MDC034_W023(6)_2026-10-06/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC034_W023(6)_2026-10-06/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 [00:07<09:20,  7.10s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:07<03:55,  3.03s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:08<02:34,  2.00s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:08<01:44,  1.37s/it]
Computing max image from bright frames:   6%|▋         | 5/80 [00:08<01:10,  1.06it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:09<00:45,  1.59it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:09<00:29,  2.42it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:09<00:24,  2.85it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:10<00:25,  2.68it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:10<00:24,  2.77it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:10<00:20,  3.16it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:11<00:17,  3.67it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:11<00:15,  4.24it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:11<00:13,  4.62it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:11<00:11,  5.20it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:11<00:11,  5.41it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:11<00:10,  5.46it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:12<00:10,  5.43it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:12<00:08,  6.39it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:12<00:10,  5.59it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:12<00:09,  5.81it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:12<00:09,  5.78it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:13<00:08,  5.93it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:13<00:08,  6.04it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:13<00:08,  6.29it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:13<00:08,  5.98it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:15<00:24,  1.92it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:16<00:35,  1.32it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:16<00:22,  2.04it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:17<00:17,  2.49it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:17<00:11,  3.54it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:17<00:08,  4.88it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:17<00:07,  4.98it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:17<00:07,  5.07it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:18<00:08,  4.09it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:18<00:09,  3.69it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:18<00:08,  4.07it/s]
Computing max image from bright frames:  60%|██████    | 48/80 [00:19<00:05,  5.72it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:19<00:05,  5.63it/s]
Computing max image from bright frames:  62%|██████▎   | 50/80 [00:19<00:06,  4.83it/s]
Computing max image from bright frames:  65%|██████▌   | 52/80 [00:19<00:04,  6.60it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:19<00:02,  9.94it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:19<00:01, 13.01it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:20<00:01, 12.92it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:20<00:01, 11.78it/s]
Computing max image from bright frames:  80%|████████  | 64/80 [00:20<00:02,  7.70it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:21<00:03,  4.16it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:21<00:02,  4.49it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:22<00:01,  6.82it/s]
Computing max image from bright frames:  90%|█████████ | 72/80 [00:22<00:01,  6.61it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:22<00:00,  7.65it/s]
Computing max image from bright frames:  98%|█████████▊| 78/80 [00:22<00:00, 11.94it/s]
Computing max image from bright frames: 100%|██████████| 80/80 [00:22<00:00, 10.74it/s]
                                                                                       
[✅] Casing detection complete: cx=1040.0, cy=715.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:26,  3.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:26,  3.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:26,  3.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:26,  3.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:26,  3.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:06, 14.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:00<00:06, 14.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   8%|▊         | 8/100 [00:00<00:05, 15.84it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:05, 15.84it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.002 | Best: {'fx': 363.636} (0.002):   9%|▉         | 9/100 [00:00<00:05, 15.84it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.003 | Best: {'fx': 370.707} (0.003):  10%|█         | 10/100 [00:00<00:05, 15.84it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.003 | Best: {'fx': 370.707} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.83it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  11%|█         | 11/100 [00:00<00:04, 18.83it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 18.83it/s] 
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.003 | Best: {'fx': 398.99} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 18.83it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:04, 18.83it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  15%|█▌        | 15/100 [00:00<00:03, 24.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 24.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 24.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 24.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 25.79it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 25.79it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 25.79it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:00<00:03, 25.79it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  21%|██        | 21/100 [00:01<00:03, 25.79it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  22%|██▏       | 22/100 [00:01<00:02, 26.60it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:01<00:02, 26.60it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:02, 26.60it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:02, 26.60it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  25%|██▌       | 25/100 [00:01<00:02, 26.53it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  25%|██▌       | 25/100 [00:01<00:02, 26.53it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:02, 26.53it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.032 | Best: {'fx': 490.909} (0.032):  27%|██▋       | 27/100 [00:01<00:02, 26.53it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.032 | Best: {'fx': 490.909} (0.032):  28%|██▊       | 28/100 [00:01<00:02, 27.20it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.042 | Best: {'fx': 497.98} (0.042):  28%|██▊       | 28/100 [00:01<00:02, 27.20it/s] 
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  29%|██▉       | 29/100 [00:01<00:02, 27.20it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.064 | Best: {'fx': 512.121} (0.064):  30%|███       | 30/100 [00:01<00:02, 27.20it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.080 | Best: {'fx': 519.192} (0.080):  31%|███       | 31/100 [00:01<00:02, 27.20it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.080 | Best: {'fx': 519.192} (0.080):  32%|███▏      | 32/100 [00:01<00:03, 17.75it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.090 | Best: {'fx': 533.333} (0.090):  32%|███▏      | 32/100 [00:01<00:03, 17.75it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.098 | Best: {'fx': 526.263} (0.098):  33%|███▎      | 33/100 [00:01<00:03, 17.75it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.080 | Best: {'fx': 526.263} (0.098):  34%|███▍      | 34/100 [00:01<00:03, 17.75it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.046 | Best: {'fx': 526.263} (0.098):  35%|███▌      | 35/100 [00:01<00:03, 17.75it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.046 | Best: {'fx': 526.263} (0.098):  36%|███▌      | 36/100 [00:01<00:03, 19.89it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.051 | Best: {'fx': 526.263} (0.098):  36%|███▌      | 36/100 [00:01<00:03, 19.89it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.040 | Best: {'fx': 526.263} (0.098):  37%|███▋      | 37/100 [00:01<00:03, 19.89it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.038 | Best: {'fx': 526.263} (0.098):  38%|███▊      | 38/100 [00:01<00:03, 19.89it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.038 | Best: {'fx': 526.263} (0.098):  39%|███▉      | 39/100 [00:01<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.036 | Best: {'fx': 526.263} (0.098):  39%|███▉      | 39/100 [00:01<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.067 | Best: {'fx': 526.263} (0.098):  40%|████      | 40/100 [00:01<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.059 | Best: {'fx': 526.263} (0.098):  41%|████      | 41/100 [00:01<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.042 | Best: {'fx': 526.263} (0.098):  42%|████▏     | 42/100 [00:01<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.034 | Best: {'fx': 526.263} (0.098):  43%|████▎     | 43/100 [00:02<00:02, 21.65it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.034 | Best: {'fx': 526.263} (0.098):  44%|████▍     | 44/100 [00:02<00:02, 25.19it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.033 | Best: {'fx': 526.263} (0.098):  44%|████▍     | 44/100 [00:02<00:02, 25.19it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.026 | Best: {'fx': 526.263} (0.098):  45%|████▌     | 45/100 [00:02<00:02, 25.19it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.029 | Best: {'fx': 526.263} (0.098):  46%|████▌     | 46/100 [00:02<00:02, 25.19it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.029 | Best: {'fx': 526.263} (0.098):  47%|████▋     | 47/100 [00:02<00:02, 21.95it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.028 | Best: {'fx': 526.263} (0.098):  47%|████▋     | 47/100 [00:02<00:02, 21.95it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.031 | Best: {'fx': 526.263} (0.098):  48%|████▊     | 48/100 [00:02<00:02, 21.95it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.030 | Best: {'fx': 526.263} (0.098):  49%|████▉     | 49/100 [00:02<00:02, 21.95it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.028 | Best: {'fx': 526.263} (0.098):  50%|█████     | 50/100 [00:02<00:02, 21.95it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.028 | Best: {'fx': 526.263} (0.098):  51%|█████     | 51/100 [00:02<00:02, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.027 | Best: {'fx': 526.263} (0.098):  51%|█████     | 51/100 [00:02<00:02, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.025 | Best: {'fx': 526.263} (0.098):  52%|█████▏    | 52/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.098):  53%|█████▎    | 53/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.026 | Best: {'fx': 526.263} (0.098):  54%|█████▍    | 54/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.098):  55%|█████▌    | 55/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.098):  56%|█████▌    | 56/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.098):  57%|█████▋    | 57/100 [00:02<00:01, 24.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.098):  58%|█████▊    | 58/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.025 | Best: {'fx': 526.263} (0.098):  58%|█████▊    | 58/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.098):  59%|█████▉    | 59/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.098):  60%|██████    | 60/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  61%|██████    | 61/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  62%|██████▏   | 62/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.098):  63%|██████▎   | 63/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  64%|██████▍   | 64/100 [00:02<00:01, 32.78it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  65%|██████▌   | 65/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.098):  65%|██████▌   | 65/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.098):  66%|██████▌   | 66/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  67%|██████▋   | 67/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.098):  68%|██████▊   | 68/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  69%|██████▉   | 69/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  70%|███████   | 70/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.098):  71%|███████   | 71/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  72%|███████▏  | 72/100 [00:02<00:00, 40.33it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  73%|███████▎  | 73/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  73%|███████▎  | 73/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  74%|███████▍  | 74/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  75%|███████▌  | 75/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  76%|███████▌  | 76/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  77%|███████▋  | 77/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  78%|███████▊  | 78/100 [00:02<00:00, 48.64it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  79%|███████▉  | 79/100 [00:02<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  79%|███████▉  | 79/100 [00:02<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.098):  80%|████████  | 80/100 [00:02<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  81%|████████  | 81/100 [00:03<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  82%|████████▏ | 82/100 [00:03<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  83%|████████▎ | 83/100 [00:03<00:00, 41.47it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  84%|████████▍ | 84/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  84%|████████▍ | 84/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  85%|████████▌ | 85/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  86%|████████▌ | 86/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  87%|████████▋ | 87/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  88%|████████▊ | 88/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  89%|████████▉ | 89/100 [00:03<00:00, 35.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  90%|█████████ | 90/100 [00:03<00:00, 35.32it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  90%|█████████ | 90/100 [00:03<00:00, 35.32it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.098):  91%|█████████ | 91/100 [00:03<00:00, 35.32it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  92%|█████████▏| 92/100 [00:03<00:00, 35.32it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  93%|█████████▎| 93/100 [00:03<00:00, 35.32it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  94%|█████████▍| 94/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  94%|█████████▍| 94/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.098):  95%|█████████▌| 95/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  96%|█████████▌| 96/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.098):  97%|█████████▋| 97/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  98%|█████████▊| 98/100 [00:03<00:00, 36.01it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.098):  99%|█████████▉| 99/100 [00:03<00:00, 36.30it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.098):  99%|█████████▉| 99/100 [00:03<00:00, 36.30it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.045 | Best: {'fx': 501.263} (0.045):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.045 | Best: {'fx': 501.263} (0.045):   2%|▏         | 1/50 [00:00<00:26,  1.85it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.047 | Best: {'fx': 502.283} (0.047):   2%|▏         | 1/50 [00:00<00:26,  1.85it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.049 | Best: {'fx': 503.303} (0.049):   4%|▍         | 2/50 [00:00<00:25,  1.85it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.053 | Best: {'fx': 506.365} (0.053):   6%|▌         | 3/50 [00:00<00:25,  1.85it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.053 | Best: {'fx': 506.365} (0.053):   8%|▊         | 4/50 [00:00<00:06,  6.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.050 | Best: {'fx': 506.365} (0.053):   8%|▊         | 4/50 [00:00<00:06,  6.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.052 | Best: {'fx': 506.365} (0.053):  10%|█         | 5/50 [00:00<00:06,  6.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.054 | Best: {'fx': 507.385} (0.054):  12%|█▏        | 6/50 [00:00<00:06,  6.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.057 | Best: {'fx': 509.426} (0.057):  14%|█▍        | 7/50 [00:00<00:06,  6.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.057 | Best: {'fx': 509.426} (0.057):  16%|█▌        | 8/50 [00:00<00:03, 12.73it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.056 | Best: {'fx': 509.426} (0.057):  16%|█▌        | 8/50 [00:00<00:03, 12.73it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.062 | Best: {'fx': 511.467} (0.062):  18%|█▊        | 9/50 [00:00<00:03, 12.73it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.066 | Best: {'fx': 513.508} (0.066):  20%|██        | 10/50 [00:01<00:03, 12.73it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.066 | Best: {'fx': 513.508} (0.066):  22%|██▏       | 11/50 [00:01<00:02, 14.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.060 | Best: {'fx': 513.508} (0.066):  22%|██▏       | 11/50 [00:01<00:02, 14.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.067 | Best: {'fx': 514.528} (0.067):  24%|██▍       | 12/50 [00:01<00:02, 14.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.063 | Best: {'fx': 514.528} (0.067):  26%|██▌       | 13/50 [00:01<00:02, 14.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.063 | Best: {'fx': 514.528} (0.067):  28%|██▊       | 14/50 [00:01<00:02, 12.78it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.074 | Best: {'fx': 516.569} (0.074):  28%|██▊       | 14/50 [00:01<00:02, 12.78it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.071 | Best: {'fx': 516.569} (0.074):  30%|███       | 15/50 [00:01<00:02, 12.78it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.078 | Best: {'fx': 518.61} (0.078):  32%|███▏      | 16/50 [00:01<00:02, 12.78it/s] 
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.075 | Best: {'fx': 518.61} (0.078):  34%|███▍      | 17/50 [00:01<00:02, 12.78it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.081 | Best: {'fx': 519.63} (0.081):  36%|███▌      | 18/50 [00:01<00:02, 12.78it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.081 | Best: {'fx': 519.63} (0.081):  38%|███▊      | 19/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.085 | Best: {'fx': 520.65} (0.085):  38%|███▊      | 19/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.094 | Best: {'fx': 523.712} (0.094):  40%|████      | 20/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.092 | Best: {'fx': 523.712} (0.094):  42%|████▏     | 21/50 [00:01<00:01, 18.44it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.092 | Best: {'fx': 523.712} (0.094):  44%|████▍     | 22/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.098 | Best: {'fx': 524.732} (0.098):  44%|████▍     | 22/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.088 | Best: {'fx': 524.732} (0.098):  46%|████▌     | 23/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.091 | Best: {'fx': 524.732} (0.098):  48%|████▊     | 24/50 [00:01<00:01, 17.45it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.091 | Best: {'fx': 524.732} (0.098):  50%|█████     | 25/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.099 | Best: {'fx': 527.793} (0.099):  50%|█████     | 25/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.088 | Best: {'fx': 527.793} (0.099):  52%|█████▏    | 26/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.099 | Best: {'fx': 527.793} (0.099):  54%|█████▍    | 27/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.089 | Best: {'fx': 527.793} (0.099):  56%|█████▌    | 28/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.087 | Best: {'fx': 527.793} (0.099):  58%|█████▊    | 29/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.095 | Best: {'fx': 527.793} (0.099):  60%|██████    | 30/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.099 | Best: {'fx': 525.752} (0.099):  62%|██████▏   | 31/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.098 | Best: {'fx': 525.752} (0.099):  64%|██████▍   | 32/50 [00:01<00:01, 17.34it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.098 | Best: {'fx': 525.752} (0.099):  66%|██████▌   | 33/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.083 | Best: {'fx': 525.752} (0.099):  66%|██████▌   | 33/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.086 | Best: {'fx': 525.752} (0.099):  68%|██████▊   | 34/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.085 | Best: {'fx': 525.752} (0.099):  70%|███████   | 35/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.081 | Best: {'fx': 525.752} (0.099):  72%|███████▏  | 36/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.092 | Best: {'fx': 525.752} (0.099):  74%|███████▍  | 37/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.078 | Best: {'fx': 525.752} (0.099):  76%|███████▌  | 38/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.095 | Best: {'fx': 525.752} (0.099):  78%|███████▊  | 39/50 [00:01<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.075 | Best: {'fx': 525.752} (0.099):  80%|████████  | 40/50 [00:02<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.075 | Best: {'fx': 525.752} (0.099):  82%|████████▏ | 41/50 [00:02<00:00, 28.50it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.075 | Best: {'fx': 525.752} (0.099):  84%|████████▍ | 42/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.073 | Best: {'fx': 525.752} (0.099):  84%|████████▍ | 42/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.072 | Best: {'fx': 525.752} (0.099):  86%|████████▌ | 43/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.068 | Best: {'fx': 525.752} (0.099):  88%|████████▊ | 44/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.070 | Best: {'fx': 525.752} (0.099):  90%|█████████ | 45/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.067 | Best: {'fx': 525.752} (0.099):  92%|█████████▏| 46/50 [00:02<00:00, 39.67it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.067 | Best: {'fx': 525.752} (0.099):  94%|█████████▍| 47/50 [00:02<00:00, 36.57it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.064 | Best: {'fx': 525.752} (0.099):  94%|█████████▍| 47/50 [00:02<00:00, 36.57it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.062 | Best: {'fx': 525.752} (0.099):  96%|█████████▌| 48/50 [00:02<00:00, 36.57it/s]
Brute | Start: {'fx': 526.263} (0.098) | Current: 0.065 | Best: {'fx': 525.752} (0.099):  98%|█████████▊| 49/50 [00:02<00:00, 36.57it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 525.7524221809937
    px: 1040.0
    py: 715.0
    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 2 incomplete frames): 78 frames will be used for optimization
  Rigs: 2000R(2000mm):18/20, 1500(1500mm):20/20, 1000(1000mm):20/20, 2000L(2000mm):20/20
  Total: 78/80 frames used for optimization

Initial score: 12.2724: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 12.2724, picklable_objective(x0) = 12.3403

Best score: 12.3403: : 0iter [00:02, ?iter/s] 
Best score: 12.3403: : 1iter [00:02,  2.03s/iter]
Best score: 12.3403: : 1iter [00:02,  2.03s/iter]
Best score: 12.3403: : 2iter [00:02,  2.03s/iter]
Best score: 12.3403: : 3iter [00:02,  1.69iter/s]
Best score: 12.3403: : 3iter [00:02,  1.69iter/s]
Best score: 12.3403: : 4iter [00:02,  1.69iter/s]
Best score: 12.3403: : 5iter [00:02,  3.03iter/s]
Best score: 12.3403: : 5iter [00:02,  3.03iter/s]
Best score: 12.3403: : 6iter [00:02,  3.03iter/s]
Best score: 12.3403: : 7iter [00:02,  4.42iter/s]
Best score: 12.3403: : 7iter [00:02,  4.42iter/s]
Best score: 12.3403: : 8iter [00:02,  4.42iter/s]
Best score: 12.3403: : 9iter [00:02,  5.79iter/s]
Best score: 12.3403: : 9iter [00:02,  5.79iter/s]
Best score: 12.3403: : 10iter [00:02,  5.79iter/s]
Best score: 12.3403: : 11iter [00:02,  7.01iter/s]
Best score: 12.3403: : 11iter [00:02,  7.01iter/s]
Best score: 12.3403: : 12iter [00:03,  7.01iter/s]
Best score: 12.3403: : 13iter [00:03,  8.10iter/s]
Best score: 12.3403: : 13iter [00:03,  8.10iter/s]
Best score: 12.3403: : 14iter [00:03,  8.10iter/s]
Best score: 12.3403: : 15iter [00:03,  8.98iter/s]
Best score: 12.3403: : 15iter [00:03,  8.98iter/s]
Best score: 12.3403: : 16iter [00:03,  8.98iter/s]
Best score: 12.3403: : 17iter [00:03,  9.69iter/s]
Best score: 12.3403: : 17iter [00:03,  9.69iter/s]
Best score: 12.3403: : 18iter [00:03,  9.69iter/s]
Best score: 12.3403: : 19iter [00:03, 10.24iter/s]
Best score: 12.3403: : 19iter [00:03, 10.24iter/s]
Best score: 12.3403: : 20iter [00:03, 10.24iter/s]
Best score: 12.3403: : 21iter [00:03,  9.77iter/s]
Best score: 12.3403: : 21iter [00:03,  9.77iter/s]
Best score: 12.3403: : 22iter [00:03,  9.77iter/s]
Best score: 12.3403: : 23iter [00:03, 10.28iter/s]
Best score: 12.3403: : 23iter [00:04, 10.28iter/s]
Best score: 12.3403: : 24iter [00:04, 10.28iter/s]
Best score: 12.3403: : 25iter [00:04, 10.71iter/s]
Best score: 12.3403: : 25iter [00:04, 10.71iter/s]
Best score: 12.3403: : 26iter [00:04, 10.71iter/s]
Best score: 12.3403: : 27iter [00:04, 11.00iter/s]
Best score: 12.3403: : 27iter [00:04, 11.00iter/s]
Best score: 12.3403: : 28iter [00:04, 11.00iter/s]
Best score: 12.3403: : 29iter [00:04, 11.27iter/s]
Best score: 12.3403: : 29iter [00:04, 11.27iter/s]
Best score: 12.3403: : 30iter [00:04, 11.27iter/s]
Best score: 12.3403: : 31iter [00:04, 11.36iter/s]
Best score: 12.3403: : 31iter [00:04, 11.36iter/s]
Best score: 12.3403: : 32iter [00:04, 11.36iter/s]
Best score: 12.3403: : 33iter [00:04, 11.50iter/s]
Best score: 12.3403: : 33iter [00:04, 11.50iter/s]
Best score: 12.3403: : 34iter [00:04, 11.50iter/s]
Best score: 12.3403: : 35iter [00:04, 11.65iter/s]
Best score: 12.3403: : 35iter [00:05, 11.65iter/s]
Best score: 12.3403: : 36iter [00:05, 11.65iter/s]
Best score: 12.3403: : 37iter [00:05, 11.74iter/s]
Best score: 12.3403: : 37iter [00:05, 11.74iter/s]
Best score: 12.3403: : 38iter [00:05, 11.74iter/s]
Best score: 12.3403: : 39iter [00:05, 11.81iter/s]
Best score: 12.3403: : 39iter [00:05, 11.81iter/s]
Best score: 12.3403: : 40iter [00:05, 11.81iter/s]
Best score: 12.3403: : 41iter [00:05, 11.74iter/s]
Best score: 12.3403: : 41iter [00:05, 11.74iter/s]
Best score: 12.3403: : 42iter [00:05, 11.74iter/s]
Best score: 12.3403: : 43iter [00:05, 11.88iter/s]
Best score: 12.3403: : 43iter [00:05, 11.88iter/s]
Best score: 12.3403: : 44iter [00:05, 11.88iter/s]
Best score: 12.3403: : 45iter [00:05, 11.97iter/s]
Best score: 12.3403: : 45iter [00:05, 11.97iter/s]
Best score: 12.3403: : 46iter [00:05, 11.97iter/s]
Best score: 12.3403: : 47iter [00:05, 11.99iter/s]
Best score: 12.3403: : 47iter [00:06, 11.99iter/s]
Best score: 12.3403: : 48iter [00:06, 11.99iter/s]
Best score: 12.3403: : 49iter [00:06, 12.09iter/s]
[ITER 50] Best: 12.3403
[PARAMS] Current best parameters:
  fx: 525.7524
  fy: 525.7524
  px: 1040.0000
  py: 715.0000
  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: 12.3403: : 49iter [00:06, 12.09iter/s]
Best score: 12.3403: : 50iter [00:06, 12.09iter/s]
Best score: 12.3403: : 51iter [00:06, 11.91iter/s]
Best score: 12.3403: : 51iter [00:06, 11.91iter/s]
Best score: 12.3403: : 52iter [00:06, 11.91iter/s]
Best score: 12.3403: : 53iter [00:06, 11.99iter/s]
Best score: 12.3403: : 53iter [00:06, 11.99iter/s]
Best score: 12.3403: : 54iter [00:06, 11.99iter/s]
Best score: 12.3403: : 55iter [00:06, 12.00iter/s]
Best score: 12.3403: : 55iter [00:06, 12.00iter/s]
Best score: 12.3403: : 56iter [00:06, 12.00iter/s]
Best score: 12.3403: : 57iter [00:06, 12.06iter/s]
Best score: 12.3403: : 57iter [00:06, 12.06iter/s]
Best score: 12.3403: : 58iter [00:06, 12.06iter/s]
Best score: 12.3403: : 59iter [00:06, 12.09iter/s]
Best score: 11.1796: : 59iter [00:07, 12.09iter/s]
Best score: 11.1796: : 60iter [00:07, 12.09iter/s]
Best score: 11.1796: : 61iter [00:07, 11.83iter/s]
Best score: 11.1796: : 61iter [00:07, 11.83iter/s]
Best score: 11.1796: : 62iter [00:07, 11.83iter/s]
Best score: 11.1796: : 63iter [00:07, 11.84iter/s]
Best score: 11.1796: : 63iter [00:07, 11.84iter/s]
Best score: 11.1796: : 64iter [00:07, 11.84iter/s]
Best score: 11.1796: : 65iter [00:07, 11.89iter/s]
Best score: 11.1796: : 65iter [00:07, 11.89iter/s]
Best score: 11.1796: : 66iter [00:07, 11.89iter/s]
Best score: 11.1796: : 67iter [00:07, 11.92iter/s]
Best score: 11.1796: : 67iter [00:07, 11.92iter/s]
Best score: 11.1796: : 68iter [00:07, 11.92iter/s]
Best score: 11.1796: : 69iter [00:07, 11.99iter/s]
Best score: 7.2748: : 69iter [00:07, 11.99iter/s] 
Best score: 7.2748: : 70iter [00:07, 11.99iter/s]
Best score: 7.2748: : 71iter [00:07, 11.82iter/s]
Best score: 7.2748: : 71iter [00:08, 11.82iter/s]
Best score: 7.2748: : 72iter [00:08, 11.82iter/s]
Best score: 7.2748: : 73iter [00:08, 11.79iter/s]
Best score: 7.2748: : 73iter [00:08, 11.79iter/s]
Best score: 7.2748: : 74iter [00:08, 11.79iter/s]
Best score: 7.2748: : 75iter [00:08, 11.79iter/s]
Best score: 7.2748: : 75iter [00:08, 11.79iter/s]
Best score: 7.2748: : 76iter [00:08, 11.79iter/s]
Best score: 7.2748: : 77iter [00:08, 11.82iter/s]
Best score: 7.2748: : 77iter [00:08, 11.82iter/s]
Best score: 7.2748: : 78iter [00:08, 11.82iter/s]
Best score: 7.2748: : 79iter [00:08, 11.79iter/s]
Best score: 7.2748: : 79iter [00:08, 11.79iter/s]
Best score: 7.2748: : 80iter [00:08, 11.79iter/s]
Best score: 7.2748: : 81iter [00:08, 11.62iter/s]
Best score: 7.2748: : 81iter [00:08, 11.62iter/s]
Best score: 7.2748: : 82iter [00:09, 11.62iter/s]
Best score: 7.2748: : 83iter [00:09, 11.77iter/s]
Best score: 7.2748: : 83iter [00:09, 11.77iter/s]
Best score: 7.2748: : 84iter [00:09, 11.77iter/s]
Best score: 7.2748: : 85iter [00:09, 11.79iter/s]
Best score: 7.2748: : 85iter [00:09, 11.79iter/s]
Best score: 7.2748: : 86iter [00:09, 11.79iter/s]
Best score: 7.2748: : 87iter [00:09, 11.75iter/s]
Best score: 7.2748: : 87iter [00:09, 11.75iter/s]
Best score: 7.2748: : 88iter [00:09, 11.75iter/s]
Best score: 7.2748: : 89iter [00:09, 11.76iter/s]
Best score: 6.2167: : 89iter [00:09, 11.76iter/s]
Best score: 6.2167: : 90iter [00:09, 11.76iter/s]
Best score: 6.2167: : 91iter [00:09, 11.64iter/s]
Best score: 6.2167: : 91iter [00:09, 11.64iter/s]
Best score: 6.2167: : 92iter [00:09, 11.64iter/s]
Best score: 6.2167: : 93iter [00:09, 11.71iter/s]
Best score: 6.2167: : 93iter [00:09, 11.71iter/s]
Best score: 6.2167: : 94iter [00:10, 11.71iter/s]
Best score: 6.2167: : 95iter [00:10, 11.76iter/s]
Best score: 6.2167: : 95iter [00:10, 11.76iter/s]
Best score: 6.2167: : 96iter [00:10, 11.76iter/s]
Best score: 6.2167: : 97iter [00:10, 11.76iter/s]
Best score: 6.2167: : 97iter [00:10, 11.76iter/s]
Best score: 6.2167: : 98iter [00:10, 11.76iter/s]
Best score: 6.2167: : 99iter [00:10, 11.70iter/s]
[ITER 100] Best: 6.1010
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 6.1010: : 99iter [00:10, 11.70iter/s]
Best score: 6.1010: : 100iter [00:10, 11.70iter/s]
Best score: 6.1010: : 101iter [00:10, 10.03iter/s]
Best score: 6.1010: : 101iter [00:10, 10.03iter/s]
Best score: 6.1010: : 102iter [00:10, 10.03iter/s]
Best score: 6.1010: : 103iter [00:10, 10.46iter/s]
Best score: 6.1010: : 103iter [00:10, 10.46iter/s]
Best score: 6.1010: : 104iter [00:10, 10.46iter/s]
Best score: 6.1010: : 105iter [00:10, 10.78iter/s]
Best score: 6.1010: : 105iter [00:11, 10.78iter/s]
Best score: 6.1010: : 106iter [00:11, 10.78iter/s]
Best score: 6.1010: : 107iter [00:11, 10.89iter/s]
Best score: 6.1010: : 107iter [00:11, 10.89iter/s]
Best score: 6.1010: : 108iter [00:11, 10.89iter/s]
Best score: 6.1010: : 109iter [00:11, 11.06iter/s]
Best score: 6.1010: : 109iter [00:11, 11.06iter/s]
Best score: 6.1010: : 110iter [00:11, 11.06iter/s]
Best score: 6.1010: : 111iter [00:11, 11.00iter/s]
Best score: 6.1010: : 111iter [00:11, 11.00iter/s]
Best score: 6.1010: : 112iter [00:11, 11.00iter/s]
Best score: 6.1010: : 113iter [00:11, 11.11iter/s]
Best score: 6.1010: : 113iter [00:11, 11.11iter/s]
Best score: 6.1010: : 114iter [00:11, 11.11iter/s]
Best score: 6.1010: : 115iter [00:11, 11.20iter/s]
Best score: 6.1010: : 115iter [00:11, 11.20iter/s]
Best score: 6.1010: : 116iter [00:12, 11.20iter/s]
Best score: 6.1010: : 117iter [00:12, 11.23iter/s]
Best score: 6.1010: : 117iter [00:12, 11.23iter/s]
Best score: 6.1010: : 118iter [00:12, 11.23iter/s]
Best score: 6.1010: : 119iter [00:12, 11.19iter/s]
Best score: 6.1010: : 119iter [00:12, 11.19iter/s]
Best score: 6.1010: : 120iter [00:12, 11.19iter/s]
Best score: 6.1010: : 121iter [00:12, 11.08iter/s]
Best score: 6.1010: : 121iter [00:12, 11.08iter/s]
Best score: 6.1010: : 122iter [00:12, 11.08iter/s]
Best score: 6.1010: : 123iter [00:12, 11.18iter/s]
Best score: 6.1010: : 123iter [00:12, 11.18iter/s]
Best score: 6.1010: : 124iter [00:12, 11.18iter/s]
Best score: 6.1010: : 125iter [00:12, 11.35iter/s]
Best score: 6.1010: : 125iter [00:12, 11.35iter/s]
Best score: 6.1010: : 126iter [00:12, 11.35iter/s]
Best score: 6.1010: : 127iter [00:12, 11.39iter/s]
Best score: 6.1010: : 127iter [00:13, 11.39iter/s]
Best score: 6.1010: : 128iter [00:13, 11.39iter/s]
Best score: 6.1010: : 129iter [00:13, 11.40iter/s]
Best score: 6.1010: : 129iter [00:13, 11.40iter/s]
Best score: 6.1010: : 130iter [00:13, 11.40iter/s]
Best score: 6.1010: : 131iter [00:13, 11.25iter/s]
Best score: 6.1010: : 131iter [00:13, 11.25iter/s]
Best score: 6.1010: : 132iter [00:13, 11.25iter/s]
Best score: 6.1010: : 133iter [00:13, 11.35iter/s]
Best score: 6.1010: : 133iter [00:13, 11.35iter/s]
Best score: 6.1010: : 134iter [00:13, 11.35iter/s]
Best score: 6.1010: : 135iter [00:13, 11.38iter/s]
Best score: 6.1010: : 135iter [00:13, 11.38iter/s]
Best score: 6.1010: : 136iter [00:13, 11.38iter/s]
Best score: 6.1010: : 137iter [00:13, 11.40iter/s]
Best score: 6.1010: : 137iter [00:13, 11.40iter/s]
Best score: 6.1010: : 138iter [00:13, 11.40iter/s]
Best score: 6.1010: : 139iter [00:13, 11.34iter/s]
Best score: 6.1010: : 139iter [00:14, 11.34iter/s]
Best score: 6.1010: : 140iter [00:14, 11.34iter/s]
Best score: 6.1010: : 141iter [00:14, 11.14iter/s]
Best score: 6.1010: : 141iter [00:14, 11.14iter/s]
Best score: 6.1010: : 142iter [00:14, 11.14iter/s]
Best score: 6.1010: : 143iter [00:14, 11.21iter/s]
Best score: 6.1010: : 143iter [00:14, 11.21iter/s]
Best score: 6.1010: : 144iter [00:14, 11.21iter/s]
Best score: 6.1010: : 145iter [00:14, 11.26iter/s]
Best score: 6.1010: : 145iter [00:14, 11.26iter/s]
Best score: 6.1010: : 146iter [00:14, 11.26iter/s]
Best score: 6.1010: : 147iter [00:14, 11.20iter/s]
Best score: 6.1010: : 147iter [00:14, 11.20iter/s]
Best score: 6.1010: : 148iter [00:14, 11.20iter/s]
Best score: 6.1010: : 149iter [00:14, 11.33iter/s]
[ITER 150] Best: 6.1010
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 6.1010: : 149iter [00:14, 11.33iter/s]
[Periodic outlier @ iter 50] Removing 2000R frame 13 (score=404.55, threshold=7.33)
  Remaining frames: 77

Best score: 6.1010: : 150iter [00:15, 11.33iter/s]
Best score: 6.1010: : 151iter [00:15,  6.55iter/s]
Best score: 6.1010: : 151iter [00:15,  6.55iter/s]
Best score: 6.1010: : 152iter [00:15,  6.55iter/s]
Best score: 6.1010: : 153iter [00:15,  7.56iter/s]
Best score: 6.1010: : 153iter [00:15,  7.56iter/s]
Best score: 6.1010: : 154iter [00:15,  7.56iter/s]
Best score: 6.1010: : 155iter [00:15,  8.48iter/s]
Best score: 6.1010: : 155iter [00:15,  8.48iter/s]
Best score: 6.1010: : 156iter [00:16,  8.48iter/s]
Best score: 6.1010: : 157iter [00:16,  9.28iter/s]
Best score: 6.1010: : 157iter [00:16,  9.28iter/s]
Best score: 6.1010: : 158iter [00:16,  9.28iter/s]
Best score: 6.1010: : 159iter [00:16,  9.90iter/s]
Best score: 0.9589: : 159iter [00:16,  9.90iter/s]
Best score: 0.9589: : 160iter [00:16,  9.90iter/s]
Best score: 0.9589: : 161iter [00:16, 10.25iter/s]
Best score: 0.9589: : 161iter [00:16, 10.25iter/s]
Best score: 0.9589: : 162iter [00:16, 10.25iter/s]
Best score: 0.9589: : 163iter [00:16, 10.67iter/s]
Best score: 0.9589: : 163iter [00:16, 10.67iter/s]
Best score: 0.9589: : 164iter [00:16, 10.67iter/s]
Best score: 0.9589: : 165iter [00:16, 10.99iter/s]
Best score: 0.9589: : 165iter [00:16, 10.99iter/s]
Best score: 0.9589: : 166iter [00:16, 10.99iter/s]
Best score: 0.9589: : 167iter [00:16, 11.21iter/s]
Best score: 0.9589: : 167iter [00:16, 11.21iter/s]
Best score: 0.9589: : 168iter [00:17, 11.21iter/s]
Best score: 0.9589: : 169iter [00:17, 11.38iter/s]
Best score: 0.9589: : 169iter [00:17, 11.38iter/s]
Best score: 0.9589: : 170iter [00:17, 11.38iter/s]
Best score: 0.9589: : 171iter [00:17, 11.34iter/s]
Best score: 0.9589: : 171iter [00:17, 11.34iter/s]
Best score: 0.9589: : 172iter [00:17, 11.34iter/s]
Best score: 0.9589: : 173iter [00:17, 11.46iter/s]
Best score: 0.9589: : 173iter [00:17, 11.46iter/s]
Best score: 0.9589: : 174iter [00:17, 11.46iter/s]
Best score: 0.9589: : 175iter [00:17, 11.58iter/s]
Best score: 0.9589: : 175iter [00:17, 11.58iter/s]
Best score: 0.9589: : 176iter [00:17, 11.58iter/s]
Best score: 0.9589: : 177iter [00:17, 11.67iter/s]
Best score: 0.9589: : 177iter [00:17, 11.67iter/s]
Best score: 0.9589: : 178iter [00:17, 11.67iter/s]
Best score: 0.9589: : 179iter [00:17, 11.75iter/s]
Best score: 0.9589: : 179iter [00:17, 11.75iter/s]
Best score: 0.9589: : 180iter [00:18, 11.75iter/s]
Best score: 0.9589: : 181iter [00:18, 11.59iter/s]
Best score: 0.9589: : 181iter [00:18, 11.59iter/s]
Best score: 0.9589: : 182iter [00:18, 11.59iter/s]
Best score: 0.9589: : 183iter [00:18, 11.69iter/s]
Best score: 0.9589: : 183iter [00:18, 11.69iter/s]
Best score: 0.9589: : 184iter [00:18, 11.69iter/s]
Best score: 0.9589: : 185iter [00:18, 11.73iter/s]
Best score: 0.9589: : 185iter [00:18, 11.73iter/s]
Best score: 0.9589: : 186iter [00:18, 11.73iter/s]
Best score: 0.9589: : 187iter [00:18, 11.81iter/s]
Best score: 0.9589: : 187iter [00:18, 11.81iter/s]
Best score: 0.9589: : 188iter [00:18, 11.81iter/s]
Best score: 0.9589: : 189iter [00:18, 11.78iter/s]
Best score: 0.9589: : 189iter [00:18, 11.78iter/s]
Best score: 0.9589: : 190iter [00:18, 11.78iter/s]
Best score: 0.9589: : 191iter [00:18, 11.63iter/s]
Best score: 0.9589: : 191iter [00:18, 11.63iter/s]
Best score: 0.9589: : 192iter [00:19, 11.63iter/s]
Best score: 0.9589: : 193iter [00:19, 11.69iter/s]
Best score: 0.9589: : 193iter [00:19, 11.69iter/s]
Best score: 0.9589: : 194iter [00:19, 11.69iter/s]
Best score: 0.9589: : 195iter [00:19,  9.15iter/s]
Best score: 0.9589: : 195iter [00:19,  9.15iter/s]
Best score: 0.9589: : 196iter [00:19,  9.15iter/s]
Best score: 0.9589: : 197iter [00:19,  9.89iter/s]
Best score: 0.9589: : 197iter [00:19,  9.89iter/s]
Best score: 0.9589: : 198iter [00:19,  9.89iter/s]
Best score: 0.9589: : 199iter [00:19, 10.45iter/s]
[ITER 200] Best: 0.9589
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 0.9589: : 199iter [00:19, 10.45iter/s]
[Periodic outlier @ iter 100] Removing 2000R frame 7 (score=10.33, threshold=6.70)
  Remaining frames: 76

Best score: 0.9589: : 200iter [00:20, 10.45iter/s]
Best score: 0.9589: : 201iter [00:20,  6.36iter/s]
Best score: 0.9589: : 201iter [00:20,  6.36iter/s]
Best score: 0.9589: : 202iter [00:20,  6.36iter/s]
Best score: 0.9589: : 203iter [00:20,  7.40iter/s]
Best score: 0.9589: : 203iter [00:20,  7.40iter/s]
Best score: 0.9589: : 204iter [00:20,  7.40iter/s]
Best score: 0.9589: : 205iter [00:20,  8.36iter/s]
Best score: 0.9589: : 205iter [00:20,  8.36iter/s]
Best score: 0.9589: : 206iter [00:20,  8.36iter/s]
Best score: 0.9589: : 207iter [00:20,  9.20iter/s]
Best score: 0.9589: : 207iter [00:20,  9.20iter/s]
Best score: 0.9589: : 208iter [00:21,  9.20iter/s]
Best score: 0.9589: : 209iter [00:21,  9.88iter/s]
Best score: 0.8388: : 209iter [00:21,  9.88iter/s]
Best score: 0.8388: : 210iter [00:21,  9.88iter/s]
Best score: 0.8388: : 211iter [00:21, 10.29iter/s]
Best score: 0.8388: : 211iter [00:21, 10.29iter/s]
Best score: 0.8388: : 212iter [00:21, 10.29iter/s]
Best score: 0.8388: : 213iter [00:21, 10.75iter/s]
Best score: 0.8388: : 213iter [00:21, 10.75iter/s]
Best score: 0.8388: : 214iter [00:21, 10.75iter/s]
Best score: 0.8388: : 215iter [00:21, 11.10iter/s]
Best score: 0.8388: : 215iter [00:21, 11.10iter/s]
Best score: 0.8388: : 216iter [00:21, 11.10iter/s]
Best score: 0.8388: : 217iter [00:21, 11.37iter/s]
Best score: 0.8388: : 217iter [00:21, 11.37iter/s]
Best score: 0.8388: : 218iter [00:21, 11.37iter/s]
Best score: 0.8388: : 219iter [00:21, 11.57iter/s]
Best score: 0.8388: : 219iter [00:21, 11.57iter/s]
Best score: 0.8388: : 220iter [00:22, 11.57iter/s]
Best score: 0.8388: : 221iter [00:22, 11.51iter/s]
Best score: 0.8388: : 221iter [00:22, 11.51iter/s]
Best score: 0.8388: : 222iter [00:22, 11.51iter/s]
Best score: 0.8388: : 223iter [00:22, 11.64iter/s]
Best score: 0.8388: : 223iter [00:22, 11.64iter/s]
Best score: 0.8388: : 224iter [00:22, 11.64iter/s]
Best score: 0.8388: : 225iter [00:22, 11.72iter/s]
Best score: 0.8388: : 225iter [00:22, 11.72iter/s]
Best score: 0.8388: : 226iter [00:22, 11.72iter/s]
Best score: 0.8388: : 227iter [00:22, 11.81iter/s]
Best score: 0.8388: : 227iter [00:22, 11.81iter/s]
Best score: 0.8388: : 228iter [00:22, 11.81iter/s]
Best score: 0.8388: : 229iter [00:22, 11.85iter/s]
Best score: 0.8388: : 229iter [00:22, 11.85iter/s]
Best score: 0.8388: : 230iter [00:22, 11.85iter/s]
Best score: 0.8388: : 231iter [00:22, 11.71iter/s]
Best score: 0.8388: : 231iter [00:22, 11.71iter/s]
Best score: 0.8388: : 232iter [00:23, 11.71iter/s]
Best score: 0.8388: : 233iter [00:23, 11.84iter/s]
Best score: 0.8388: : 233iter [00:23, 11.84iter/s]
Best score: 0.8388: : 234iter [00:23, 11.84iter/s]
Best score: 0.8388: : 235iter [00:23, 11.92iter/s]
Best score: 0.8388: : 235iter [00:23, 11.92iter/s]
Best score: 0.8388: : 236iter [00:23, 11.92iter/s]
Best score: 0.8388: : 237iter [00:23, 12.00iter/s]
Best score: 0.8388: : 237iter [00:23, 12.00iter/s]
Best score: 0.8388: : 238iter [00:23, 12.00iter/s]
Best score: 0.8388: : 239iter [00:23, 11.99iter/s]
Best score: 0.8388: : 239iter [00:23, 11.99iter/s]
Best score: 0.8388: : 240iter [00:23, 11.99iter/s]
Best score: 0.8388: : 241iter [00:23, 11.81iter/s]
Best score: 0.8388: : 241iter [00:23, 11.81iter/s]
Best score: 0.8388: : 242iter [00:23, 11.81iter/s]
Best score: 0.8388: : 243iter [00:23, 11.92iter/s]
Best score: 0.8388: : 243iter [00:23, 11.92iter/s]
Best score: 0.8388: : 244iter [00:24, 11.92iter/s]
Best score: 0.8388: : 245iter [00:24, 12.02iter/s]
Best score: 0.8388: : 245iter [00:24, 12.02iter/s]
Best score: 0.8388: : 246iter [00:24, 12.02iter/s]
Best score: 0.8388: : 247iter [00:24, 12.06iter/s]
Best score: 0.8388: : 247iter [00:24, 12.06iter/s]
Best score: 0.8388: : 248iter [00:24, 12.06iter/s]
Best score: 0.8388: : 249iter [00:24, 12.11iter/s]
[ITER 250] Best: 0.8388
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 0.8388: : 249iter [00:24, 12.11iter/s]
[Periodic outlier @ iter 150] Removing 2000R frame 8 (score=7.24, threshold=6.45)
  Remaining frames: 75

Best score: 0.8388: : 250iter [00:24, 12.11iter/s]
Best score: 0.8388: : 251iter [00:24,  6.78iter/s]
Best score: 0.8388: : 251iter [00:25,  6.78iter/s]
Best score: 0.8388: : 252iter [00:25,  6.78iter/s]
Best score: 0.8388: : 253iter [00:25,  7.81iter/s]
Best score: 0.8388: : 253iter [00:25,  7.81iter/s]
Best score: 0.8388: : 254iter [00:25,  7.81iter/s]
Best score: 0.8388: : 255iter [00:25,  8.73iter/s]
Best score: 0.8388: : 255iter [00:25,  8.73iter/s]
Best score: 0.8388: : 256iter [00:25,  8.73iter/s]
Best score: 0.8388: : 257iter [00:25,  9.52iter/s]
Best score: 0.8388: : 257iter [00:25,  9.52iter/s]
Best score: 0.8388: : 258iter [00:25,  9.52iter/s]
Best score: 0.8388: : 259iter [00:25, 10.18iter/s]
Best score: 0.7594: : 259iter [00:25, 10.18iter/s]
Best score: 0.7594: : 260iter [00:25, 10.18iter/s]
Best score: 0.7594: : 261iter [00:25, 10.57iter/s]
Best score: 0.7594: : 261iter [00:25, 10.57iter/s]
Best score: 0.7594: : 262iter [00:25, 10.57iter/s]
Best score: 0.7594: : 263iter [00:25, 10.97iter/s]
Best score: 0.7594: : 263iter [00:26, 10.97iter/s]
Best score: 0.7594: : 264iter [00:26, 10.97iter/s]
Best score: 0.7594: : 265iter [00:26, 11.30iter/s]
Best score: 0.7594: : 265iter [00:26, 11.30iter/s]
Best score: 0.7594: : 266iter [00:26, 11.30iter/s]
Best score: 0.7594: : 267iter [00:26, 11.52iter/s]
Best score: 0.7594: : 267iter [00:26, 11.52iter/s]
Best score: 0.7594: : 268iter [00:26, 11.52iter/s]
Best score: 0.7594: : 269iter [00:26, 11.70iter/s]
Best score: 0.7594: : 269iter [00:26, 11.70iter/s]
Best score: 0.7594: : 270iter [00:26, 11.70iter/s]
Best score: 0.7594: : 271iter [00:26, 11.65iter/s]
Best score: 0.7594: : 271iter [00:26, 11.65iter/s]
Best score: 0.7594: : 272iter [00:26, 11.65iter/s]
Best score: 0.7594: : 273iter [00:26, 11.80iter/s]
Best score: 0.7594: : 273iter [00:26, 11.80iter/s]
Best score: 0.7594: : 274iter [00:26, 11.80iter/s]
Best score: 0.7594: : 275iter [00:26, 11.92iter/s]
Best score: 0.7594: : 275iter [00:27, 11.92iter/s]
Best score: 0.7594: : 276iter [00:27, 11.92iter/s]
Best score: 0.7594: : 277iter [00:27, 12.01iter/s]
Best score: 0.7594: : 277iter [00:27, 12.01iter/s]
Best score: 0.7594: : 278iter [00:27, 12.01iter/s]
Best score: 0.7594: : 279iter [00:27, 12.10iter/s]
Best score: 0.7594: : 279iter [00:27, 12.10iter/s]
Best score: 0.7594: : 280iter [00:27, 12.10iter/s]
Best score: 0.7594: : 281iter [00:27, 11.98iter/s]
Best score: 0.7594: : 281iter [00:27, 11.98iter/s]
Best score: 0.7594: : 282iter [00:27, 11.98iter/s]
Best score: 0.7594: : 283iter [00:27, 12.09iter/s]
Best score: 0.7594: : 283iter [00:27, 12.09iter/s]
Best score: 0.7594: : 284iter [00:27, 12.09iter/s]
Best score: 0.7594: : 285iter [00:27, 12.18iter/s]
Best score: 0.7594: : 285iter [00:27, 12.18iter/s]
Best score: 0.7594: : 286iter [00:27, 12.18iter/s]
Best score: 0.7594: : 287iter [00:27, 12.24iter/s]
Best score: 0.7594: : 287iter [00:28, 12.24iter/s]
Best score: 0.7594: : 288iter [00:28, 12.24iter/s]
Best score: 0.7594: : 289iter [00:28, 12.29iter/s]
Best score: 0.7594: : 289iter [00:28, 12.29iter/s]
Best score: 0.7594: : 290iter [00:28, 12.29iter/s]
Best score: 0.7594: : 291iter [00:28, 12.11iter/s]
Best score: 0.7594: : 291iter [00:28, 12.11iter/s]
Best score: 0.7594: : 292iter [00:28, 12.11iter/s]
Best score: 0.7594: : 293iter [00:28, 12.24iter/s]
Best score: 0.7594: : 293iter [00:28, 12.24iter/s]
Best score: 0.7594: : 294iter [00:28, 12.24iter/s]
Best score: 0.7594: : 295iter [00:28, 12.28iter/s]
Best score: 0.7594: : 295iter [00:28, 12.28iter/s]
Best score: 0.7594: : 296iter [00:28, 12.28iter/s]
Best score: 0.7594: : 297iter [00:28, 12.40iter/s]
Best score: 0.7594: : 297iter [00:28, 12.40iter/s]
Best score: 0.7594: : 298iter [00:28, 12.40iter/s]
Best score: 0.7594: : 299iter [00:28, 12.46iter/s]
[ITER 300] Best: 0.7594
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 0.7594: : 299iter [00:28, 12.46iter/s]
[Periodic outlier @ iter 200] Removing 2000R frame 6 (score=7.23, threshold=6.32)
  Remaining frames: 74

Best score: 0.7594: : 300iter [00:29, 12.46iter/s]
Best score: 0.7594: : 301iter [00:29,  6.86iter/s]
Best score: 0.7594: : 301iter [00:29,  6.86iter/s]
Best score: 0.7594: : 302iter [00:29,  6.86iter/s]
Best score: 0.7594: : 303iter [00:29,  7.91iter/s]
Best score: 0.7594: : 303iter [00:29,  7.91iter/s]
Best score: 0.7594: : 304iter [00:29,  7.91iter/s]
Best score: 0.7594: : 305iter [00:29,  8.88iter/s]
Best score: 0.7594: : 305iter [00:29,  8.88iter/s]
Best score: 0.7594: : 306iter [00:29,  8.88iter/s]
Best score: 0.7594: : 307iter [00:29,  9.64iter/s]
Best score: 0.7594: : 307iter [00:30,  9.64iter/s]
Best score: 0.7594: : 308iter [00:30,  9.64iter/s]
Best score: 0.7594: : 309iter [00:30, 10.29iter/s]
Best score: 0.6742: : 309iter [00:30, 10.29iter/s]
Best score: 0.6742: : 310iter [00:30, 10.29iter/s]
Best score: 0.6742: : 311iter [00:30, 10.63iter/s]
Best score: 0.6742: : 311iter [00:30, 10.63iter/s]
Best score: 0.6742: : 312iter [00:30, 10.63iter/s]
Best score: 0.6742: : 313iter [00:30, 11.04iter/s]
Best score: 0.6742: : 313iter [00:30, 11.04iter/s]
Best score: 0.6742: : 314iter [00:30, 11.04iter/s]
Best score: 0.6742: : 315iter [00:30, 11.39iter/s]
Best score: 0.6742: : 315iter [00:30, 11.39iter/s]
Best score: 0.6742: : 316iter [00:30, 11.39iter/s]
Best score: 0.6742: : 317iter [00:30, 11.67iter/s]
Best score: 0.6742: : 317iter [00:30, 11.67iter/s]
Best score: 0.6742: : 318iter [00:30, 11.67iter/s]
Best score: 0.6742: : 319iter [00:30, 11.90iter/s]
Best score: 0.6742: : 319iter [00:31, 11.90iter/s]
Best score: 0.6742: : 320iter [00:31, 11.90iter/s]
Best score: 0.6742: : 321iter [00:31, 11.85iter/s]
Best score: 0.6742: : 321iter [00:31, 11.85iter/s]
Best score: 0.6742: : 322iter [00:31, 11.85iter/s]
Best score: 0.6742: : 323iter [00:31, 12.03iter/s]
Best score: 0.6742: : 323iter [00:31, 12.03iter/s]
Best score: 0.6742: : 324iter [00:31, 12.03iter/s]
Best score: 0.6742: : 325iter [00:31, 12.14iter/s]
Best score: 0.6742: : 325iter [00:31, 12.14iter/s]
Best score: 0.6742: : 326iter [00:31, 12.14iter/s]
Best score: 0.6742: : 327iter [00:31, 12.10iter/s]
Best score: 0.6742: : 327iter [00:31, 12.10iter/s]
Best score: 0.6742: : 328iter [00:31, 12.10iter/s]
Best score: 0.6742: : 329iter [00:31, 12.14iter/s]
Best score: 0.6742: : 329iter [00:31, 12.14iter/s]
Best score: 0.6742: : 330iter [00:31, 12.14iter/s]
Best score: 0.6742: : 331iter [00:31, 12.01iter/s]
Best score: 0.6742: : 331iter [00:32, 12.01iter/s]
Best score: 0.6742: : 332iter [00:32, 12.01iter/s]
Best score: 0.6742: : 333iter [00:32, 12.13iter/s]
Best score: 0.6742: : 333iter [00:32, 12.13iter/s]
Best score: 0.6742: : 334iter [00:32, 12.13iter/s]
Best score: 0.6742: : 335iter [00:32, 12.23iter/s]
Best score: 0.6742: : 335iter [00:32, 12.23iter/s]
Best score: 0.6742: : 336iter [00:32, 12.23iter/s]
Best score: 0.6742: : 337iter [00:32, 12.19iter/s]
Best score: 0.6742: : 337iter [00:32, 12.19iter/s]
Best score: 0.6742: : 338iter [00:32, 12.19iter/s]
Best score: 0.6742: : 339iter [00:32, 12.24iter/s]
Best score: 0.6742: : 339iter [00:32, 12.24iter/s]
Best score: 0.6742: : 340iter [00:32, 12.24iter/s]
Best score: 0.6742: : 341iter [00:32, 12.19iter/s]
Best score: 0.6742: : 341iter [00:32, 12.19iter/s]
Best score: 0.6742: : 342iter [00:32, 12.19iter/s]
Best score: 0.6742: : 343iter [00:32, 12.33iter/s]
Best score: 0.6742: : 343iter [00:33, 12.33iter/s]
Best score: 0.6742: : 344iter [00:33, 12.33iter/s]
Best score: 0.6742: : 345iter [00:33, 12.47iter/s]
Best score: 0.6742: : 345iter [00:33, 12.47iter/s]
Best score: 0.6742: : 346iter [00:33, 12.47iter/s]
Best score: 0.6742: : 347iter [00:33, 12.48iter/s]
Best score: 0.6742: : 347iter [00:33, 12.48iter/s]
Best score: 0.6742: : 348iter [00:33, 12.48iter/s]
Best score: 0.6742: : 349iter [00:33, 12.50iter/s]
[ITER 350] Best: 0.6742
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 0.6742: : 349iter [00:33, 12.50iter/s]
Best score: 0.6742: : 350iter [00:33, 12.50iter/s]
Best score: 0.6742: : 351iter [00:33,  7.99iter/s]
Best score: 0.6742: : 351iter [00:33,  7.99iter/s]
Best score: 0.6742: : 352iter [00:34,  7.99iter/s]
Best score: 0.6742: : 353iter [00:34,  9.01iter/s]
Best score: 0.6742: : 353iter [00:34,  9.01iter/s]
Best score: 0.6742: : 354iter [00:34,  9.01iter/s]
Best score: 0.6742: : 355iter [00:34,  9.90iter/s]
Best score: 0.6742: : 355iter [00:34,  9.90iter/s]
Best score: 0.6742: : 356iter [00:34,  9.90iter/s]
Best score: 0.6742: : 357iter [00:34, 10.60iter/s]
Best score: 0.6742: : 357iter [00:34, 10.60iter/s]
Best score: 0.6742: : 358iter [00:34, 10.60iter/s]
Best score: 0.6742: : 359iter [00:34, 11.19iter/s]
Best score: 0.6742: : 359iter [00:34, 11.19iter/s]
Best score: 0.6742: : 360iter [00:34, 11.19iter/s]
Best score: 0.6742: : 361iter [00:34, 11.45iter/s]
Best score: 0.6742: : 361iter [00:34, 11.45iter/s]
Best score: 0.6742: : 362iter [00:34, 11.45iter/s]
Best score: 0.6742: : 363iter [00:34, 11.87iter/s]
Best score: 0.6742: : 363iter [00:34, 11.87iter/s]
Best score: 0.6742: : 364iter [00:34, 11.87iter/s]
Best score: 0.6742: : 365iter [00:34, 12.17iter/s]
Best score: 0.6742: : 365iter [00:35, 12.17iter/s]
Best score: 0.6742: : 366iter [00:35, 12.17iter/s]
Best score: 0.6742: : 367iter [00:35, 12.33iter/s]
Best score: 0.6742: : 367iter [00:35, 12.33iter/s]
Best score: 0.6742: : 368iter [00:35, 12.33iter/s]
Best score: 0.6742: : 369iter [00:35, 12.46iter/s]
Best score: 0.6742: : 369iter [00:35, 12.46iter/s]
Best score: 0.6742: : 370iter [00:35, 12.46iter/s]
Best score: 0.6742: : 371iter [00:35, 12.26iter/s]
Best score: 0.6742: : 371iter [00:35, 12.26iter/s]
Best score: 0.6742: : 372iter [00:35, 12.26iter/s]
Best score: 0.6742: : 373iter [00:35, 12.36iter/s]
Best score: 0.6742: : 373iter [00:35, 12.36iter/s]
Best score: 0.6742: : 374iter [00:35, 12.36iter/s]
Best score: 0.6742: : 375iter [00:35, 12.43iter/s]
Best score: 0.6742: : 375iter [00:35, 12.43iter/s]
Best score: 0.6742: : 376iter [00:35, 12.43iter/s]
Best score: 0.6742: : 377iter [00:35, 12.49iter/s]
Best score: 0.6742: : 377iter [00:36, 12.49iter/s]
Best score: 0.6742: : 378iter [00:36, 12.49iter/s]
Best score: 0.6742: : 379iter [00:36, 12.52iter/s]
Best score: 0.6742: : 379iter [00:36, 12.52iter/s]
Best score: 0.6742: : 380iter [00:36, 12.52iter/s]
Best score: 0.6742: : 381iter [00:36, 12.37iter/s]
Best score: 0.6742: : 381iter [00:36, 12.37iter/s]
Best score: 0.6742: : 382iter [00:36, 12.37iter/s]
Best score: 0.6742: : 383iter [00:36, 12.51iter/s]
Best score: 0.6742: : 383iter [00:36, 12.51iter/s]
Best score: 0.6742: : 384iter [00:36, 12.51iter/s]
Best score: 0.6742: : 385iter [00:36, 12.55iter/s]
Best score: 0.6742: : 385iter [00:36, 12.55iter/s]
Best score: 0.6742: : 386iter [00:36, 12.55iter/s]
Best score: 0.6742: : 387iter [00:36, 12.63iter/s]
Best score: 0.6742: : 387iter [00:36, 12.63iter/s]
Best score: 0.6742: : 388iter [00:36, 12.63iter/s]
Best score: 0.6742: : 389iter [00:36, 12.61iter/s]
Best score: 0.6742: : 389iter [00:36, 12.61iter/s]
Best score: 0.6742: : 390iter [00:37, 12.61iter/s]
Best score: 0.6742: : 391iter [00:37, 12.46iter/s]
Best score: 0.6742: : 391iter [00:37, 12.46iter/s]
Best score: 0.6742: : 392iter [00:37, 12.46iter/s]
Best score: 0.6742: : 393iter [00:37, 12.54iter/s]
Best score: 0.6742: : 393iter [00:37, 12.54iter/s]
Best score: 0.6742: : 394iter [00:37, 12.54iter/s]
Best score: 0.6742: : 395iter [00:37, 12.59iter/s]
Best score: 0.6742: : 395iter [00:37, 12.59iter/s]
Best score: 0.6742: : 396iter [00:37, 12.59iter/s]
Best score: 0.6742: : 397iter [00:37, 12.66iter/s]
Best score: 0.6742: : 397iter [00:37, 12.66iter/s]
Best score: 0.6742: : 398iter [00:37, 12.66iter/s]
Best score: 0.6742: : 399iter [00:37, 12.69iter/s]
[ITER 400] Best: 0.6742
[PARAMS] Current best parameters:
  fx: 535.2957
  fy: 535.1068
  px: 1043.8047
  py: 710.8169
  k1: -0.01057213
  k2: 0.00819757
  k3: -0.00266957
  k4: -0.00045364
  p1: -0.00649123
  p2: 0.00633627
  p3: -0.00385745
  p4: -0.00755104
  s1: 0.0068
  s2: 0.0011
  s3: 0.0016
  s4: 0.0009
  tilt_x: 0.0217
  tilt_y: -0.0052
  scale: 2.9766
  rotation: -0.2809

Best score: 0.6742: : 399iter [00:37, 12.69iter/s]
Best score: 0.6742: : 400iter [00:38, 12.69iter/s]
Best score: 0.6742: : 401iter [00:38,  8.10iter/s]
Best score: 0.6742: : 401iter [00:38,  8.10iter/s]
Best score: 0.6742: : 402iter [00:38,  8.10iter/s]
Best score: 0.6742: : 403iter [00:38,  7.59iter/s]
Best score: 0.6742: : 403iter [00:38,  7.59iter/s]
Best score: 0.6742: : 404iter [00:38,  7.59iter/s]
Best score: 0.6742: : 405iter [00:38,  8.64iter/s]
Best score: 0.6742: : 405iter [00:38,  8.64iter/s]
Best score: 0.6742: : 406iter [00:38,  8.64iter/s]
Best score: 0.6742: : 407iter [00:38,  9.60iter/s]
Best score: 0.6742: : 407iter [00:38,  9.60iter/s]
Best score: 0.6742: : 408iter [00:38,  9.60iter/s]
Best score: 0.6742: : 409iter [00:38, 10.39iter/s]
Best score: 0.6742: : 409iter [00:38, 10.39iter/s]
Best score: 0.6742: : 410iter [00:39, 10.39iter/s]
Best score: 0.6742: : 411iter [00:39, 10.88iter/s]
Best score: 0.6742: : 411iter [00:39, 10.88iter/s]
Best score: 0.6742: : 412iter [00:39, 10.88iter/s]
Best score: 0.6742: : 413iter [00:39, 11.40iter/s]
Best score: 0.6742: : 413iter [00:39, 11.40iter/s]
Best score: 0.6742: : 414iter [00:39, 11.40iter/s]
Best score: 0.6742: : 415iter [00:39, 11.79iter/s]
Best score: 0.6742: : 415iter [00:39, 11.79iter/s]
Best score: 0.6742: : 416iter [00:39, 11.79iter/s]
Best score: 0.6742: : 417iter [00:39, 12.11iter/s]
Best score: 0.6742: : 417iter [00:39, 12.11iter/s]
Best score: 0.6742: : 418iter [00:39, 12.11iter/s]
Best score: 0.6742: : 419iter [00:39, 12.30iter/s]
Best score: 0.6742: : 419iter [00:39, 12.30iter/s]
Best score: 0.6742: : 420iter [00:39, 12.30iter/s]
Best score: 0.6742: : 421iter [00:39, 12.23iter/s]
Best score: 0.6742: : 421iter [00:39, 12.23iter/s]
Best score: 0.6742: : 422iter [00:40, 12.23iter/s]
Best score: 0.6742: : 423iter [00:40, 12.42iter/s]
Best score: 0.6742: : 423iter [00:40, 12.42iter/s]
Best score: 0.6742: : 424iter [00:40, 12.42iter/s]
Best score: 0.6742: : 425iter [00:40, 12.56iter/s]
Best score: 0.6742: : 425iter [00:40, 12.56iter/s]
Best score: 0.6742: : 426iter [00:40, 12.56iter/s]
Best score: 0.6742: : 427iter [00:40, 12.62iter/s]
Best score: 0.6742: : 427iter [00:40, 12.62iter/s]
Best score: 0.6742: : 428iter [00:40, 12.62iter/s]
Best score: 0.6742: : 429iter [00:40, 12.70iter/s]
Best score: 0.6742: : 429iter [00:40, 12.70iter/s]
Best score: 0.6742: : 430iter [00:40, 12.70iter/s]
Best score: 0.6742: : 431iter [00:40, 12.54iter/s]
Best score: 0.6742: : 431iter [00:40, 12.54iter/s]
Best score: 0.6742: : 432iter [00:40, 12.54iter/s]
Best score: 0.6742: : 433iter [00:40, 12.64iter/s]
Best score: 0.6742: : 433iter [00:40, 12.64iter/s]
Best score: 0.6742: : 434iter [00:40, 12.64iter/s]
Best score: 0.6742: : 435iter [00:40, 12.71iter/s]
Best score: 0.6742: : 435iter [00:41, 12.71iter/s]
Best score: 0.6742: : 436iter [00:41, 12.71iter/s]
Best score: 0.6742: : 437iter [00:41, 12.74iter/s]
Best score: 0.6742: : 437iter [00:41, 12.74iter/s]
Best score: 0.6742: : 438iter [00:41, 12.74iter/s]
Best score: 0.6742: : 439iter [00:41, 12.79iter/s]
Best score: 0.6742: : 439iter [00:41, 12.79iter/s]
Best score: 0.6742: : 440iter [00:41, 12.79iter/s]
Best score: 0.6742: : 441iter [00:41, 12.60iter/s]
Best score: 0.6742: : 441iter [00:41, 12.60iter/s]
Best score: 0.6742: : 442iter [00:41, 12.60iter/s]
Best score: 0.6742: : 443iter [00:41, 12.62iter/s]
Best score: 0.6742: : 443iter [00:41, 12.62iter/s]
Best score: 0.6742: : 444iter [00:41, 12.62iter/s]
Best score: 0.6742: : 445iter [00:41, 12.67iter/s]
Best score: 0.6742: : 445iter [00:41, 12.67iter/s]
Best score: 0.6742: : 446iter [00:41, 12.67iter/s]
Best score: 0.6742: : 447iter [00:41, 12.75iter/s]
Best score: 0.6742: : 447iter [00:41, 12.75iter/s]
Best score: 0.6742: : 448iter [00:42, 12.75iter/s]
Best score: 0.6742: : 449iter [00:42, 12.77iter/s]
[ITER 450] Best: 0.6161
[PARAMS] Current best parameters:
  fx: 542.5668
  fy: 542.1346
  px: 1042.4944
  py: 709.5219
  k1: -0.02180837
  k2: 0.01930510
  k3: -0.01144714
  k4: 0.00208043
  p1: -0.00413150
  p2: 0.00820562
  p3: -0.01365438
  p4: -0.00195348
  s1: 0.0092
  s2: -0.0034
  s3: 0.0047
  s4: -0.0012
  tilt_x: 0.0076
  tilt_y: -0.0055
  scale: 2.9664
  rotation: -0.2155

Best score: 0.6161: : 449iter [00:42, 12.77iter/s]
Best score: 0.6161: : 450iter [00:42, 12.77iter/s]
Best score: 0.6161: : 451iter [00:42,  8.13iter/s]
Best score: 0.6161: : 451iter [00:42,  8.13iter/s]
Best score: 0.6161: : 452iter [00:42,  8.13iter/s]
Best score: 0.6161: : 453iter [00:42,  9.15iter/s]
Best score: 0.6161: : 453iter [00:42,  9.15iter/s]
Best score: 0.6161: : 454iter [00:42,  9.15iter/s]
Best score: 0.6161: : 455iter [00:42, 10.02iter/s]
Best score: 0.6161: : 455iter [00:42, 10.02iter/s]
Best score: 0.6161: : 456iter [00:42, 10.02iter/s]
Best score: 0.6161: : 457iter [00:42, 10.73iter/s]
Best score: 0.6161: : 457iter [00:43, 10.73iter/s]
Best score: 0.6161: : 458iter [00:43, 10.73iter/s]
Best score: 0.6161: : 459iter [00:43, 11.28iter/s]
Best score: 0.6161: : 459iter [00:43, 11.28iter/s]
Best score: 0.6161: : 460iter [00:43, 11.28iter/s]
Best score: 0.6161: : 461iter [00:43, 11.46iter/s]
Best score: 0.6161: : 461iter [00:43, 11.46iter/s]
Best score: 0.6161: : 462iter [00:43, 11.46iter/s]
Best score: 0.6161: : 463iter [00:43, 11.84iter/s]
Best score: 0.6161: : 463iter [00:43, 11.84iter/s]
Best score: 0.6161: : 464iter [00:43, 11.84iter/s]
Best score: 0.6161: : 465iter [00:43, 12.15iter/s]
Best score: 0.6161: : 465iter [00:43, 12.15iter/s]
Best score: 0.6161: : 466iter [00:43, 12.15iter/s]
Best score: 0.6161: : 467iter [00:43, 12.36iter/s]
Best score: 0.6161: : 467iter [00:43, 12.36iter/s]
Best score: 0.6161: : 468iter [00:43, 12.36iter/s]
Best score: 0.6161: : 469iter [00:43, 12.51iter/s]
Best score: 0.3906: : 469iter [00:44, 12.51iter/s]
Best score: 0.3906: : 470iter [00:44, 12.51iter/s]
Best score: 0.3906: : 471iter [00:44, 12.43iter/s]
Best score: 0.3906: : 471iter [00:44, 12.43iter/s]
Best score: 0.3906: : 472iter [00:44, 12.43iter/s]
Best score: 0.3906: : 473iter [00:44, 12.56iter/s]
Best score: 0.3906: : 473iter [00:44, 12.56iter/s]
Best score: 0.3906: : 474iter [00:44, 12.56iter/s]
Best score: 0.3906: : 475iter [00:44, 12.64iter/s]
Best score: 0.3906: : 475iter [00:44, 12.64iter/s]
Best score: 0.3906: : 476iter [00:44, 12.64iter/s]
Best score: 0.3906: : 477iter [00:44, 12.70iter/s]
Best score: 0.3906: : 477iter [00:44, 12.70iter/s]
Best score: 0.3906: : 478iter [00:44, 12.70iter/s]
Best score: 0.3906: : 479iter [00:44, 12.75iter/s]
Best score: 0.3906: : 479iter [00:44, 12.75iter/s]
Best score: 0.3906: : 480iter [00:44, 12.75iter/s]
Best score: 0.3906: : 481iter [00:44, 12.60iter/s]
Best score: 0.3906: : 481iter [00:44, 12.60iter/s]
Best score: 0.3906: : 482iter [00:45, 12.60iter/s]
Best score: 0.3906: : 483iter [00:45, 12.72iter/s]
Best score: 0.3906: : 483iter [00:45, 12.72iter/s]
Best score: 0.3906: : 484iter [00:45, 12.72iter/s]
Best score: 0.3906: : 485iter [00:45, 12.75iter/s]
Best score: 0.3906: : 485iter [00:45, 12.75iter/s]
Best score: 0.3906: : 486iter [00:45, 12.75iter/s]
Best score: 0.3906: : 487iter [00:45, 12.77iter/s]
Best score: 0.3906: : 487iter [00:45, 12.77iter/s]
Best score: 0.3906: : 488iter [00:45, 12.77iter/s]
Best score: 0.3906: : 489iter [00:45, 12.78iter/s]
Best score: 0.3763: : 489iter [00:45, 12.78iter/s]
Best score: 0.3763: : 490iter [00:45, 12.78iter/s]
Best score: 0.3763: : 491iter [00:45, 12.58iter/s]
Best score: 0.3763: : 491iter [00:45, 12.58iter/s]
Best score: 0.3763: : 492iter [00:45, 12.58iter/s]
Best score: 0.3763: : 493iter [00:45, 12.67iter/s]
Best score: 0.3763: : 493iter [00:45, 12.67iter/s]
Best score: 0.3763: : 494iter [00:45, 12.67iter/s]
Best score: 0.3763: : 495iter [00:45, 12.74iter/s]
Best score: 0.3763: : 495iter [00:46, 12.74iter/s]
Best score: 0.3763: : 496iter [00:46, 12.74iter/s]
Best score: 0.3763: : 497iter [00:46, 12.70iter/s]
Best score: 0.3763: : 497iter [00:46, 12.70iter/s]
Best score: 0.3763: : 498iter [00:46, 12.70iter/s]
Best score: 0.3763: : 499iter [00:46, 12.77iter/s]
[ITER 500] Best: 0.3226
[PARAMS] Current best parameters:
  fx: 535.2531
  fy: 534.7660
  px: 1043.9944
  py: 711.9166
  k1: -0.02346213
  k2: 0.02898854
  k3: -0.01611799
  k4: 0.00306248
  p1: -0.00675996
  p2: 0.00367860
  p3: -0.00458696
  p4: -0.00127314
  s1: 0.0059
  s2: -0.0014
  s3: 0.0019
  s4: -0.0002
  tilt_x: 0.0238
  tilt_y: -0.0141
  scale: 2.9861
  rotation: -0.2197

Best score: 0.3226: : 499iter [00:46, 12.77iter/s]
Best score: 0.3226: : 500iter [00:46, 12.77iter/s]
Best score: 0.3226: : 501iter [00:46,  8.10iter/s]
Best score: 0.3226: : 501iter [00:46,  8.10iter/s]
Best score: 0.3226: : 502iter [00:46,  8.10iter/s]
Best score: 0.3226: : 503iter [00:46,  9.12iter/s]
Best score: 0.3226: : 503iter [00:46,  9.12iter/s]
Best score: 0.3226: : 504iter [00:47,  9.12iter/s]
Best score: 0.3226: : 505iter [00:47, 10.01iter/s]
Best score: 0.3226: : 505iter [00:47, 10.01iter/s]
Best score: 0.3226: : 506iter [00:47, 10.01iter/s]
Best score: 0.3226: : 507iter [00:47, 10.73iter/s]
Best score: 0.3226: : 507iter [00:47, 10.73iter/s]
Best score: 0.3226: : 508iter [00:47, 10.73iter/s]
Best score: 0.3226: : 509iter [00:47, 11.28iter/s]
Best score: 0.3226: : 509iter [00:47, 11.28iter/s]
Best score: 0.3226: : 510iter [00:47, 11.28iter/s]
Best score: 0.3226: : 511iter [00:47, 11.55iter/s]
Best score: 0.3226: : 511iter [00:47, 11.55iter/s]
Best score: 0.3226: : 512iter [00:47, 11.55iter/s]
Best score: 0.3226: : 513iter [00:47, 11.91iter/s]
Best score: 0.3226: : 513iter [00:47, 11.91iter/s]
Best score: 0.3226: : 514iter [00:47, 11.91iter/s]
Best score: 0.3226: : 515iter [00:47, 12.12iter/s]
Best score: 0.3226: : 515iter [00:47, 12.12iter/s]
Best score: 0.3226: : 516iter [00:47, 12.12iter/s]
Best score: 0.3226: : 517iter [00:47, 12.37iter/s]
Best score: 0.3226: : 517iter [00:48, 12.37iter/s]
Best score: 0.3226: : 518iter [00:48, 12.37iter/s]
Best score: 0.3226: : 519iter [00:48, 12.55iter/s]
Best score: 0.2709: : 519iter [00:48, 12.55iter/s]
Best score: 0.2709: : 520iter [00:48, 12.55iter/s]
Best score: 0.2709: : 521iter [00:48, 12.45iter/s]
Best score: 0.2709: : 521iter [00:48, 12.45iter/s]
Best score: 0.2709: : 522iter [00:48, 12.45iter/s]
Best score: 0.2709: : 523iter [00:48, 12.59iter/s]
Best score: 0.2709: : 523iter [00:48, 12.59iter/s]
Best score: 0.2709: : 524iter [00:48, 12.59iter/s]
Best score: 0.2709: : 525iter [00:48, 12.62iter/s]
Best score: 0.2709: : 525iter [00:48, 12.62iter/s]
Best score: 0.2709: : 526iter [00:48, 12.62iter/s]
Best score: 0.2709: : 527iter [00:48, 12.67iter/s]
Best score: 0.2709: : 527iter [00:48, 12.67iter/s]
Best score: 0.2709: : 528iter [00:48, 12.67iter/s]
Best score: 0.2709: : 529iter [00:48, 12.70iter/s]
Best score: 0.2709: : 529iter [00:49, 12.70iter/s]
Best score: 0.2709: : 530iter [00:49, 12.70iter/s]
Best score: 0.2709: : 531iter [00:49, 12.47iter/s]
Best score: 0.2709: : 531iter [00:49, 12.47iter/s]
Best score: 0.2709: : 532iter [00:49, 12.47iter/s]
Best score: 0.2709: : 533iter [00:49, 12.56iter/s]
Best score: 0.2709: : 533iter [00:49, 12.56iter/s]
Best score: 0.2709: : 534iter [00:49, 12.56iter/s]
Best score: 0.2709: : 535iter [00:49, 12.68iter/s]
Best score: 0.2709: : 535iter [00:49, 12.68iter/s]
Best score: 0.2709: : 536iter [00:49, 12.68iter/s]
Best score: 0.2709: : 537iter [00:49, 12.74iter/s]
Best score: 0.2709: : 537iter [00:49, 12.74iter/s]
Best score: 0.2709: : 538iter [00:49, 12.74iter/s]
Best score: 0.2709: : 539iter [00:49, 12.78iter/s]
Best score: 0.2634: : 539iter [00:49, 12.78iter/s]
Best score: 0.2634: : 540iter [00:49, 12.78iter/s]
Best score: 0.2634: : 541iter [00:49, 12.60iter/s]
Best score: 0.2634: : 541iter [00:49, 12.60iter/s]
Best score: 0.2634: : 542iter [00:50, 12.60iter/s]
Best score: 0.2634: : 543iter [00:50, 12.68iter/s]
Best score: 0.2634: : 543iter [00:50, 12.68iter/s]
Best score: 0.2634: : 544iter [00:50, 12.68iter/s]
Best score: 0.2634: : 545iter [00:50, 12.76iter/s]
Best score: 0.2634: : 545iter [00:50, 12.76iter/s]
Best score: 0.2634: : 546iter [00:50, 12.76iter/s]
Best score: 0.2634: : 547iter [00:50, 12.81iter/s]
Best score: 0.2634: : 547iter [00:50, 12.81iter/s]
Best score: 0.2634: : 548iter [00:50, 12.81iter/s]
Best score: 0.2634: : 549iter [00:50, 12.86iter/s]
[ITER 550] Best: 0.2634
[PARAMS] Current best parameters:
  fx: 540.3243
  fy: 540.3889
  px: 1046.9826
  py: 714.1887
  k1: -0.02628171
  k2: 0.02820497
  k3: -0.01686851
  k4: 0.00337060
  p1: -0.00551712
  p2: 0.00927961
  p3: -0.00278254
  p4: 0.00307674
  s1: 0.0008
  s2: -0.0056
  s3: 0.0012
  s4: -0.0055
  tilt_x: 0.0322
  tilt_y: -0.0168
  scale: 2.9820
  rotation: -0.1531

Best score: 0.2634: : 549iter [00:50, 12.86iter/s]
Best score: 0.2634: : 550iter [00:50, 12.86iter/s]
Best score: 0.2634: : 551iter [00:50,  8.18iter/s]
Best score: 0.2634: : 551iter [00:51,  8.18iter/s]
Best score: 0.2634: : 552iter [00:51,  8.18iter/s]
Best score: 0.2634: : 553iter [00:51,  9.18iter/s]
Best score: 0.2634: : 553iter [00:51,  9.18iter/s]
Best score: 0.2634: : 554iter [00:51,  9.18iter/s]
Best score: 0.2634: : 555iter [00:51, 10.05iter/s]
Best score: 0.2634: : 555iter [00:51, 10.05iter/s]
Best score: 0.2634: : 556iter [00:51, 10.05iter/s]
Best score: 0.2634: : 557iter [00:51, 10.77iter/s]
Best score: 0.2634: : 557iter [00:51, 10.77iter/s]
Best score: 0.2634: : 558iter [00:51, 10.77iter/s]
Best score: 0.2634: : 559iter [00:51, 11.34iter/s]
Best score: 0.2634: : 559iter [00:51, 11.34iter/s]
Best score: 0.2634: : 560iter [00:51, 11.34iter/s]
Best score: 0.2634: : 561iter [00:51, 11.58iter/s]
Best score: 0.2634: : 561iter [00:51, 11.58iter/s]
Best score: 0.2634: : 562iter [00:51, 11.58iter/s]
Best score: 0.2634: : 563iter [00:51, 11.93iter/s]
Best score: 0.2634: : 563iter [00:51, 11.93iter/s]
Best score: 0.2634: : 564iter [00:52, 11.93iter/s]
Best score: 0.2634: : 565iter [00:52, 12.21iter/s]
Best score: 0.2634: : 565iter [00:52, 12.21iter/s]
Best score: 0.2634: : 566iter [00:52, 12.21iter/s]
Best score: 0.2634: : 567iter [00:52, 12.36iter/s]
Best score: 0.2634: : 567iter [00:52, 12.36iter/s]
Best score: 0.2634: : 568iter [00:52, 12.36iter/s]
Best score: 0.2634: : 569iter [00:52, 12.47iter/s]
Best score: 0.2634: : 569iter [00:52, 12.47iter/s]
Best score: 0.2634: : 570iter [00:52, 12.47iter/s]
Best score: 0.2634: : 571iter [00:52, 12.34iter/s]
Best score: 0.2634: : 571iter [00:52, 12.34iter/s]
Best score: 0.2634: : 572iter [00:52, 12.34iter/s]
Best score: 0.2634: : 573iter [00:52, 12.51iter/s]
Best score: 0.2634: : 573iter [00:52, 12.51iter/s]
Best score: 0.2634: : 574iter [00:52, 12.51iter/s]
Best score: 0.2634: : 575iter [00:52, 12.57iter/s]
Best score: 0.2634: : 575iter [00:52, 12.57iter/s]
Best score: 0.2634: : 576iter [00:53, 12.57iter/s]
Best score: 0.2634: : 577iter [00:53, 12.65iter/s]
Best score: 0.2634: : 577iter [00:53, 12.65iter/s]
Best score: 0.2634: : 578iter [00:53, 12.65iter/s]
Best score: 0.2634: : 579iter [00:53, 12.71iter/s]
Best score: 0.2543: : 579iter [00:53, 12.71iter/s]
Best score: 0.2543: : 580iter [00:53, 12.71iter/s]
Best score: 0.2543: : 581iter [00:53, 12.54iter/s]
Best score: 0.2543: : 581iter [00:53, 12.54iter/s]
Best score: 0.2543: : 582iter [00:53, 12.54iter/s]
Best score: 0.2543: : 583iter [00:53, 12.63iter/s]
Best score: 0.2543: : 583iter [00:53, 12.63iter/s]
Best score: 0.2543: : 584iter [00:53, 12.63iter/s]
Best score: 0.2543: : 585iter [00:53, 12.69iter/s]
Best score: 0.2543: : 585iter [00:53, 12.69iter/s]
Best score: 0.2543: : 586iter [00:53, 12.69iter/s]
Best score: 0.2543: : 587iter [00:53, 12.74iter/s]
Best score: 0.2543: : 587iter [00:53, 12.74iter/s]
Best score: 0.2543: : 588iter [00:53, 12.74iter/s]
Best score: 0.2543: : 589iter [00:53, 12.77iter/s]
Best score: 0.2250: : 589iter [00:54, 12.77iter/s]
Best score: 0.2250: : 590iter [00:54, 12.77iter/s]
Best score: 0.2250: : 591iter [00:54, 12.59iter/s]
Best score: 0.2250: : 591iter [00:54, 12.59iter/s]
Best score: 0.2250: : 592iter [00:54, 12.59iter/s]
Best score: 0.2250: : 593iter [00:54, 12.67iter/s]
Best score: 0.2250: : 593iter [00:54, 12.67iter/s]
Best score: 0.2250: : 594iter [00:54, 12.67iter/s]
Best score: 0.2250: : 595iter [00:54, 12.71iter/s]
Best score: 0.2250: : 595iter [00:54, 12.71iter/s]
Best score: 0.2250: : 596iter [00:54, 12.71iter/s]
Best score: 0.2250: : 597iter [00:54, 12.78iter/s]
Best score: 0.2250: : 597iter [00:54, 12.78iter/s]
Best score: 0.2250: : 598iter [00:54, 12.78iter/s]
Best score: 0.2250: : 599iter [00:54, 12.78iter/s]
[ITER 600] Best: 0.2250
[PARAMS] Current best parameters:
  fx: 532.8865
  fy: 532.5615
  px: 1045.3372
  py: 715.7093
  k1: -0.02762602
  k2: 0.04691513
  k3: -0.02981934
  k4: 0.00612771
  p1: -0.00085497
  p2: 0.00937318
  p3: -0.00968553
  p4: 0.00474116
  s1: 0.0062
  s2: -0.0069
  s3: 0.0032
  s4: -0.0053
  tilt_x: 0.0301
  tilt_y: -0.0084
  scale: 2.9851
  rotation: -0.1525

Best score: 0.2250: : 599iter [00:54, 12.78iter/s]
Best score: 0.2250: : 600iter [00:55, 12.78iter/s]
Best score: 0.2250: : 601iter [00:55,  8.11iter/s]
Best score: 0.2250: : 601iter [00:55,  8.11iter/s]
Best score: 0.2250: : 602iter [00:55,  8.11iter/s]
Best score: 0.2250: : 603iter [00:55,  9.11iter/s]
Best score: 0.2250: : 603iter [00:55,  9.11iter/s]
Best score: 0.2250: : 604iter [00:55,  9.11iter/s]
Best score: 0.2250: : 605iter [00:55,  9.99iter/s]
Best score: 0.2250: : 605iter [00:55,  9.99iter/s]
Best score: 0.2250: : 606iter [00:55,  9.99iter/s]
Best score: 0.2250: : 607iter [00:55, 10.71iter/s]
Best score: 0.2250: : 607iter [00:55, 10.71iter/s]
Best score: 0.2250: : 608iter [00:55, 10.71iter/s]
Best score: 0.2250: : 609iter [00:55, 11.25iter/s]
Best score: 0.2250: : 609iter [00:55, 11.25iter/s]
Best score: 0.2250: : 610iter [00:55, 11.25iter/s]
Best score: 0.2250: : 611iter [00:55, 11.51iter/s]
Best score: 0.2250: : 611iter [00:56, 11.51iter/s]
Best score: 0.2250: : 612iter [00:56, 11.51iter/s]
Best score: 0.2250: : 613iter [00:56, 11.88iter/s]
Best score: 0.2250: : 613iter [00:56, 11.88iter/s]
Best score: 0.2250: : 614iter [00:56, 11.88iter/s]
Best score: 0.2250: : 615iter [00:56, 12.18iter/s]
Best score: 0.2250: : 615iter [00:56, 12.18iter/s]
Best score: 0.2250: : 616iter [00:56, 12.18iter/s]
Best score: 0.2250: : 617iter [00:56, 12.41iter/s]
Best score: 0.2250: : 617iter [00:56, 12.41iter/s]
Best score: 0.2250: : 618iter [00:56, 12.41iter/s]
Best score: 0.2250: : 619iter [00:56, 12.57iter/s]
Best score: 0.2250: : 619iter [00:56, 12.57iter/s]
Best score: 0.2250: : 620iter [00:56, 12.57iter/s]
Best score: 0.2250: : 621iter [00:56, 12.45iter/s]
Best score: 0.2250: : 621iter [00:56, 12.45iter/s]
Best score: 0.2250: : 622iter [00:56, 12.45iter/s]
Best score: 0.2250: : 623iter [00:56, 12.57iter/s]
Best score: 0.2250: : 623iter [00:56, 12.57iter/s]
Best score: 0.2250: : 624iter [00:57, 12.57iter/s]
Best score: 0.2250: : 625iter [00:57, 12.63iter/s]
Best score: 0.2250: : 625iter [00:57, 12.63iter/s]
Best score: 0.2250: : 626iter [00:57, 12.63iter/s]
Best score: 0.2250: : 627iter [00:57, 12.66iter/s]
Best score: 0.2250: : 627iter [00:57, 12.66iter/s]
Best score: 0.2250: : 628iter [00:57, 12.66iter/s]
Best score: 0.2250: : 629iter [00:57, 12.73iter/s]
Best score: 0.2250: : 629iter [00:57, 12.73iter/s]
Best score: 0.2250: : 630iter [00:57, 12.73iter/s]
Best score: 0.2250: : 631iter [00:57, 12.55iter/s]
Best score: 0.2250: : 631iter [00:57, 12.55iter/s]
Best score: 0.2250: : 632iter [00:57, 12.55iter/s]
Best score: 0.2250: : 633iter [00:57, 12.65iter/s]
Best score: 0.2250: : 633iter [00:57, 12.65iter/s]
Best score: 0.2250: : 634iter [00:57, 12.65iter/s]
Best score: 0.2250: : 635iter [00:57, 12.72iter/s]
Best score: 0.2250: : 635iter [00:57, 12.72iter/s]
Best score: 0.2250: : 636iter [00:58, 12.72iter/s]
Best score: 0.2250: : 637iter [00:58, 12.74iter/s]
Best score: 0.2250: : 637iter [00:58, 12.74iter/s]
Best score: 0.2250: : 638iter [00:58, 12.74iter/s]
Best score: 0.2250: : 639iter [00:58, 12.76iter/s]
Best score: 0.2250: : 639iter [00:58, 12.76iter/s]
Best score: 0.2250: : 640iter [00:58, 12.76iter/s]
Best score: 0.2250: : 641iter [00:58, 12.56iter/s]
Best score: 0.2250: : 641iter [00:58, 12.56iter/s]
Best score: 0.2250: : 642iter [00:58, 12.56iter/s]
Best score: 0.2250: : 643iter [00:58, 12.65iter/s]
Best score: 0.2250: : 643iter [00:58, 12.65iter/s]
Best score: 0.2250: : 644iter [00:58, 12.65iter/s]
Best score: 0.2250: : 645iter [00:58, 12.71iter/s]
Best score: 0.2250: : 645iter [00:58, 12.71iter/s]
Best score: 0.2250: : 646iter [00:58, 12.71iter/s]
Best score: 0.2250: : 647iter [00:58, 12.72iter/s]
Best score: 0.2250: : 647iter [00:58, 12.72iter/s]
Best score: 0.2250: : 648iter [00:58, 12.72iter/s]
Best score: 0.2250: : 649iter [00:58, 12.75iter/s]
[ITER 650] Best: 0.2094
[PARAMS] Current best parameters:
  fx: 534.0342
  fy: 533.6916
  px: 1044.4303
  py: 714.8854
  k1: -0.02435455
  k2: 0.03843921
  k3: -0.02421561
  k4: 0.00491704
  p1: -0.00162495
  p2: 0.00808829
  p3: -0.00866745
  p4: 0.00279908
  s1: 0.0048
  s2: -0.0042
  s3: 0.0013
  s4: -0.0032
  tilt_x: 0.0278
  tilt_y: -0.0069
  scale: 2.9822
  rotation: -0.1652

Best score: 0.2094: : 649iter [00:59, 12.75iter/s]
Best score: 0.2094: : 650iter [00:59, 12.75iter/s]
Best score: 0.2094: : 651iter [00:59,  8.04iter/s]
Best score: 0.2094: : 651iter [00:59,  8.04iter/s]
Best score: 0.2094: : 652iter [00:59,  8.04iter/s]
Best score: 0.2094: : 653iter [00:59,  9.00iter/s]
Best score: 0.2094: : 653iter [00:59,  9.00iter/s]
Best score: 0.2094: : 654iter [00:59,  9.00iter/s]
Best score: 0.2094: : 655iter [00:59,  9.86iter/s]
Best score: 0.2094: : 655iter [00:59,  9.86iter/s]
Best score: 0.2094: : 656iter [00:59,  9.86iter/s]
Best score: 0.2094: : 657iter [00:59, 10.60iter/s]
Best score: 0.2094: : 657iter [00:59, 10.60iter/s]
Best score: 0.2094: : 658iter [01:00, 10.60iter/s]
Best score: 0.2094: : 659iter [01:00, 11.19iter/s]
Best score: 0.2094: : 659iter [01:00, 11.19iter/s]
Best score: 0.2094: : 660iter [01:00, 11.19iter/s]
Best score: 0.2094: : 661iter [01:00,  9.21iter/s]
Best score: 0.2094: : 661iter [01:00,  9.21iter/s]
Best score: 0.2094: : 662iter [01:00,  9.21iter/s]
Best score: 0.2094: : 663iter [01:00, 10.00iter/s]
Best score: 0.2094: : 663iter [01:00, 10.00iter/s]
Best score: 0.2094: : 664iter [01:00, 10.00iter/s]
Best score: 0.2094: : 665iter [01:00, 10.68iter/s]
Best score: 0.2094: : 665iter [01:00, 10.68iter/s]
Best score: 0.2094: : 666iter [01:00, 10.68iter/s]
Best score: 0.2094: : 667iter [01:00, 11.26iter/s]
Best score: 0.2094: : 667iter [01:00, 11.26iter/s]
Best score: 0.2094: : 668iter [01:00, 11.26iter/s]
Best score: 0.2094: : 669iter [01:00, 11.69iter/s]
Best score: 0.2082: : 669iter [01:01, 11.69iter/s]
Best score: 0.2082: : 670iter [01:01, 11.69iter/s]
Best score: 0.2082: : 671iter [01:01, 11.83iter/s]
Best score: 0.2082: : 671iter [01:01, 11.83iter/s]
Best score: 0.2082: : 672iter [01:01, 11.83iter/s]
Best score: 0.2082: : 673iter [01:01, 12.10iter/s]
Best score: 0.2082: : 673iter [01:01, 12.10iter/s]
Best score: 0.2082: : 674iter [01:01, 12.10iter/s]
Best score: 0.2082: : 675iter [01:01, 12.33iter/s]
Best score: 0.2082: : 675iter [01:01, 12.33iter/s]
Best score: 0.2082: : 676iter [01:01, 12.33iter/s]
Best score: 0.2082: : 677iter [01:01, 12.43iter/s]
Best score: 0.2082: : 677iter [01:01, 12.43iter/s]
Best score: 0.2082: : 678iter [01:01, 12.43iter/s]
Best score: 0.2082: : 679iter [01:01, 12.46iter/s]
Best score: 0.1933: : 679iter [01:01, 12.46iter/s]
Best score: 0.1933: : 680iter [01:01, 12.46iter/s]
Best score: 0.1933: : 681iter [01:01, 12.35iter/s]
Best score: 0.1933: : 681iter [01:02, 12.35iter/s]
Best score: 0.1933: : 682iter [01:02, 12.35iter/s]
Best score: 0.1933: : 683iter [01:02, 12.50iter/s]
Best score: 0.1933: : 683iter [01:02, 12.50iter/s]
Best score: 0.1933: : 684iter [01:02, 12.50iter/s]
Best score: 0.1933: : 685iter [01:02, 12.60iter/s]
Best score: 0.1933: : 685iter [01:02, 12.60iter/s]
Best score: 0.1933: : 686iter [01:02, 12.60iter/s]
Best score: 0.1933: : 687iter [01:02, 12.70iter/s]
Best score: 0.1933: : 687iter [01:02, 12.70iter/s]
Best score: 0.1933: : 688iter [01:02, 12.70iter/s]
Best score: 0.1933: : 689iter [01:02, 12.73iter/s]
Best score: 0.1890: : 689iter [01:02, 12.73iter/s]
Best score: 0.1890: : 690iter [01:02, 12.73iter/s]
Best score: 0.1890: : 691iter [01:02, 12.58iter/s]
Best score: 0.1890: : 691iter [01:02, 12.58iter/s]
Best score: 0.1890: : 692iter [01:02, 12.58iter/s]
Best score: 0.1890: : 693iter [01:02, 12.66iter/s]
Best score: 0.1890: : 693iter [01:02, 12.66iter/s]
Best score: 0.1890: : 694iter [01:03, 12.66iter/s]
Best score: 0.1890: : 695iter [01:03, 12.71iter/s]
Best score: 0.1890: : 695iter [01:03, 12.71iter/s]
Best score: 0.1890: : 696iter [01:03, 12.71iter/s]
Best score: 0.1890: : 697iter [01:03, 12.72iter/s]
Best score: 0.1890: : 697iter [01:03, 12.72iter/s]
Best score: 0.1890: : 698iter [01:03, 12.72iter/s]
Best score: 0.1890: : 699iter [01:03, 12.77iter/s]
[ITER 700] Best: 0.1890
[PARAMS] Current best parameters:
  fx: 533.1103
  fy: 532.8640
  px: 1042.2228
  py: 716.5194
  k1: -0.01582656
  k2: 0.02507006
  k3: -0.01566266
  k4: 0.00299456
  p1: -0.00571733
  p2: 0.00620442
  p3: -0.00060588
  p4: 0.00083709
  s1: -0.0047
  s2: -0.0014
  s3: -0.0005
  s4: -0.0020
  tilt_x: 0.0440
  tilt_y: -0.0014
  scale: 2.9781
  rotation: -0.1743

Best score: 0.1890: : 699iter [01:03, 12.77iter/s]
Best score: 0.1890: : 700iter [01:03, 12.77iter/s]
Best score: 0.1890: : 701iter [01:03,  8.10iter/s]
Best score: 0.1890: : 701iter [01:03,  8.10iter/s]
Best score: 0.1890: : 702iter [01:03,  8.10iter/s]
Best score: 0.1890: : 703iter [01:03,  9.12iter/s]
Best score: 0.1890: : 703iter [01:04,  9.12iter/s]
Best score: 0.1890: : 704iter [01:04,  9.12iter/s]
Best score: 0.1890: : 705iter [01:04,  9.99iter/s]
Best score: 0.1890: : 705iter [01:04,  9.99iter/s]
Best score: 0.1890: : 706iter [01:04,  9.99iter/s]
Best score: 0.1890: : 707iter [01:04, 10.71iter/s]
Best score: 0.1890: : 707iter [01:04, 10.71iter/s]
Best score: 0.1890: : 708iter [01:04, 10.71iter/s]
Best score: 0.1890: : 709iter [01:04, 11.30iter/s]
Best score: 0.1853: : 709iter [01:04, 11.30iter/s]
Best score: 0.1853: : 710iter [01:04, 11.30iter/s]
Best score: 0.1853: : 711iter [01:04, 11.54iter/s]
Best score: 0.1853: : 711iter [01:04, 11.54iter/s]
Best score: 0.1853: : 712iter [01:04, 11.54iter/s]
Best score: 0.1853: : 713iter [01:04, 11.93iter/s]
Best score: 0.1853: : 713iter [01:04, 11.93iter/s]
Best score: 0.1853: : 714iter [01:04, 11.93iter/s]
Best score: 0.1853: : 715iter [01:04, 12.20iter/s]
Best score: 0.1853: : 715iter [01:04, 12.20iter/s]
Best score: 0.1853: : 716iter [01:05, 12.20iter/s]
Best score: 0.1853: : 717iter [01:05, 12.39iter/s]
Best score: 0.1853: : 717iter [01:05, 12.39iter/s]
Best score: 0.1853: : 718iter [01:05, 12.39iter/s]
Best score: 0.1853: : 719iter [01:05, 12.51iter/s]
Best score: 0.1759: : 719iter [01:05, 12.51iter/s]
Best score: 0.1759: : 720iter [01:05, 12.51iter/s]
Best score: 0.1759: : 721iter [01:05, 12.40iter/s]
Best score: 0.1759: : 721iter [01:05, 12.40iter/s]
Best score: 0.1759: : 722iter [01:05, 12.40iter/s]
Best score: 0.1759: : 723iter [01:05, 12.54iter/s]
Best score: 0.1759: : 723iter [01:05, 12.54iter/s]
Best score: 0.1759: : 724iter [01:05, 12.54iter/s]
Best score: 0.1759: : 725iter [01:05, 12.65iter/s]
Best score: 0.1759: : 725iter [01:05, 12.65iter/s]
Best score: 0.1759: : 726iter [01:05, 12.65iter/s]
Best score: 0.1759: : 727iter [01:05, 12.71iter/s]
Best score: 0.1759: : 727iter [01:05, 12.71iter/s]
Best score: 0.1759: : 728iter [01:06, 12.71iter/s]
Best score: 0.1759: : 729iter [01:06, 12.78iter/s]
Best score: 0.1737: : 729iter [01:06, 12.78iter/s]
Best score: 0.1737: : 730iter [01:06, 12.78iter/s]
Best score: 0.1737: : 731iter [01:06, 12.57iter/s]
Best score: 0.1737: : 731iter [01:06, 12.57iter/s]
Best score: 0.1737: : 732iter [01:06, 12.57iter/s]
Best score: 0.1737: : 733iter [01:06, 12.61iter/s]
Best score: 0.1737: : 733iter [01:06, 12.61iter/s]
Best score: 0.1737: : 734iter [01:06, 12.61iter/s]
Best score: 0.1737: : 735iter [01:06, 12.68iter/s]
Best score: 0.1737: : 735iter [01:06, 12.68iter/s]
Best score: 0.1737: : 736iter [01:06, 12.68iter/s]
Best score: 0.1737: : 737iter [01:06, 12.73iter/s]
Best score: 0.1737: : 737iter [01:06, 12.73iter/s]
Best score: 0.1737: : 738iter [01:06, 12.73iter/s]
Best score: 0.1737: : 739iter [01:06, 12.77iter/s]
Best score: 0.1737: : 739iter [01:06, 12.77iter/s]
Best score: 0.1737: : 740iter [01:06, 12.77iter/s]
Best score: 0.1737: : 741iter [01:06, 12.53iter/s]
Best score: 0.1737: : 741iter [01:07, 12.53iter/s]
Best score: 0.1737: : 742iter [01:07, 12.53iter/s]
Best score: 0.1737: : 743iter [01:07, 12.64iter/s]
Best score: 0.1737: : 743iter [01:07, 12.64iter/s]
Best score: 0.1737: : 744iter [01:07, 12.64iter/s]
Best score: 0.1737: : 745iter [01:07, 12.71iter/s]
Best score: 0.1737: : 745iter [01:07, 12.71iter/s]
Best score: 0.1737: : 746iter [01:07, 12.71iter/s]
Best score: 0.1737: : 747iter [01:07, 12.77iter/s]
Best score: 0.1737: : 747iter [01:07, 12.77iter/s]
Best score: 0.1737: : 748iter [01:07, 12.77iter/s]
Best score: 0.1737: : 749iter [01:07, 12.80iter/s]
[ITER 750] Best: 0.1736
[PARAMS] Current best parameters:
  fx: 526.2637
  fy: 526.1109
  px: 1038.8703
  py: 718.4897
  k1: -0.00498350
  k2: 0.01834983
  k3: -0.01133805
  k4: 0.00181732
  p1: -0.00306849
  p2: 0.00441832
  p3: 0.00426787
  p4: -0.00665626
  s1: -0.0114
  s2: 0.0058
  s3: -0.0059
  s4: 0.0064
  tilt_x: 0.0460
  tilt_y: 0.0103
  scale: 2.9766
  rotation: -0.1561

Best score: 0.1736: : 749iter [01:07, 12.80iter/s]
Best score: 0.1736: : 750iter [01:08, 12.80iter/s]
Best score: 0.1736: : 751iter [01:08,  8.13iter/s]
Best score: 0.1736: : 751iter [01:08,  8.13iter/s]
Best score: 0.1736: : 752iter [01:08,  8.13iter/s]
Best score: 0.1736: : 753iter [01:08,  9.14iter/s]
Best score: 0.1736: : 753iter [01:08,  9.14iter/s]
Best score: 0.1736: : 754iter [01:08,  9.14iter/s]
Best score: 0.1736: : 755iter [01:08,  9.99iter/s]
Best score: 0.1736: : 755iter [01:08,  9.99iter/s]
Best score: 0.1736: : 756iter [01:08,  9.99iter/s]
Best score: 0.1736: : 757iter [01:08, 10.72iter/s]
Best score: 0.1736: : 757iter [01:08, 10.72iter/s]
Best score: 0.1736: : 758iter [01:08, 10.72iter/s]
Best score: 0.1736: : 759iter [01:08, 11.27iter/s]
Best score: 0.1736: : 759iter [01:08, 11.27iter/s]
Best score: 0.1736: : 760iter [01:08, 11.27iter/s]
Best score: 0.1736: : 761iter [01:08, 11.53iter/s]
Best score: 0.1736: : 761iter [01:08, 11.53iter/s]
Best score: 0.1736: : 762iter [01:08, 11.53iter/s]
Best score: 0.1736: : 763iter [01:08, 11.90iter/s]
Best score: 0.1736: : 763iter [01:09, 11.90iter/s]
Best score: 0.1736: : 764iter [01:09, 11.90iter/s]
Best score: 0.1736: : 765iter [01:09, 12.13iter/s]
Best score: 0.1736: : 765iter [01:09, 12.13iter/s]
Best score: 0.1736: : 766iter [01:09, 12.13iter/s]
Best score: 0.1736: : 767iter [01:09, 12.34iter/s]
Best score: 0.1736: : 767iter [01:09, 12.34iter/s]
Best score: 0.1736: : 768iter [01:09, 12.34iter/s]
Best score: 0.1736: : 769iter [01:09, 12.46iter/s]
Best score: 0.1730: : 769iter [01:09, 12.46iter/s]
Best score: 0.1730: : 770iter [01:09, 12.46iter/s]
Best score: 0.1730: : 771iter [01:09, 12.34iter/s]
Best score: 0.1730: : 771iter [01:09, 12.34iter/s]
Best score: 0.1730: : 772iter [01:09, 12.34iter/s]
Best score: 0.1730: : 773iter [01:09, 12.52iter/s]
Best score: 0.1730: : 773iter [01:09, 12.52iter/s]
Best score: 0.1730: : 774iter [01:09, 12.52iter/s]
Best score: 0.1730: : 775iter [01:09, 12.64iter/s]
Best score: 0.1730: : 775iter [01:10, 12.64iter/s]
Best score: 0.1730: : 776iter [01:10, 12.64iter/s]
Best score: 0.1730: : 777iter [01:10, 12.72iter/s]
Best score: 0.1730: : 777iter [01:10, 12.72iter/s]
Best score: 0.1730: : 778iter [01:10, 12.72iter/s]
Best score: 0.1730: : 779iter [01:10, 12.76iter/s]
Best score: 0.1713: : 779iter [01:10, 12.76iter/s]
Best score: 0.1713: : 780iter [01:10, 12.76iter/s]
Best score: 0.1713: : 781iter [01:10, 12.60iter/s]
Best score: 0.1713: : 781iter [01:10, 12.60iter/s]
Best score: 0.1713: : 782iter [01:10, 12.60iter/s]
Best score: 0.1713: : 783iter [01:10, 12.70iter/s]
Best score: 0.1713: : 783iter [01:10, 12.70iter/s]
Best score: 0.1713: : 784iter [01:10, 12.70iter/s]
Best score: 0.1713: : 785iter [01:10, 12.69iter/s]
Best score: 0.1713: : 785iter [01:10, 12.69iter/s]
Best score: 0.1713: : 786iter [01:10, 12.69iter/s]
Best score: 0.1713: : 787iter [01:10, 12.77iter/s]
Best score: 0.1713: : 787iter [01:10, 12.77iter/s]
Best score: 0.1713: : 788iter [01:11, 12.77iter/s]
Best score: 0.1713: : 789iter [01:11, 12.80iter/s]
Best score: 0.1683: : 789iter [01:11, 12.80iter/s]
Best score: 0.1683: : 790iter [01:11, 12.80iter/s]
Best score: 0.1683: : 791iter [01:11, 12.61iter/s]
Best score: 0.1683: : 791iter [01:11, 12.61iter/s]
Best score: 0.1683: : 792iter [01:11, 12.61iter/s]
Best score: 0.1683: : 793iter [01:11, 12.69iter/s]
Best score: 0.1683: : 793iter [01:11, 12.69iter/s]
Best score: 0.1683: : 794iter [01:11, 12.69iter/s]
Best score: 0.1683: : 795iter [01:11, 12.72iter/s]
Best score: 0.1683: : 795iter [01:11, 12.72iter/s]
Best score: 0.1683: : 796iter [01:11, 12.72iter/s]
Best score: 0.1683: : 797iter [01:11, 12.72iter/s]
Best score: 0.1683: : 797iter [01:11, 12.72iter/s]
Best score: 0.1683: : 798iter [01:11, 12.72iter/s]
Best score: 0.1683: : 799iter [01:11, 12.76iter/s]
[ITER 800] Best: 0.1671
[PARAMS] Current best parameters:
  fx: 524.8052
  fy: 524.6822
  px: 1040.0335
  py: 719.8455
  k1: 0.00465559
  k2: 0.00660580
  k3: -0.00550418
  k4: 0.00081346
  p1: -0.00367409
  p2: 0.00571441
  p3: 0.00416926
  p4: -0.00559119
  s1: -0.0123
  s2: 0.0057
  s3: -0.0039
  s4: 0.0049
  tilt_x: 0.0537
  tilt_y: 0.0080
  scale: 2.9702
  rotation: -0.1284

Best score: 0.1671: : 799iter [01:11, 12.76iter/s]
Best score: 0.1671: : 800iter [01:12, 12.76iter/s]
Best score: 0.1671: : 801iter [01:12,  8.00iter/s]
Best score: 0.1671: : 801iter [01:12,  8.00iter/s]
Best score: 0.1671: : 802iter [01:12,  8.00iter/s]
Best score: 0.1671: : 803iter [01:12,  9.02iter/s]
Best score: 0.1671: : 803iter [01:12,  9.02iter/s]
Best score: 0.1671: : 804iter [01:12,  9.02iter/s]
Best score: 0.1671: : 805iter [01:12,  9.89iter/s]
Best score: 0.1671: : 805iter [01:12,  9.89iter/s]
Best score: 0.1671: : 806iter [01:12,  9.89iter/s]
Best score: 0.1671: : 807iter [01:12, 10.61iter/s]
Best score: 0.1671: : 807iter [01:12, 10.61iter/s]
Best score: 0.1671: : 808iter [01:12, 10.61iter/s]
Best score: 0.1671: : 809iter [01:12, 11.18iter/s]
Best score: 0.1657: : 809iter [01:12, 11.18iter/s]
Best score: 0.1657: : 810iter [01:13, 11.18iter/s]
Best score: 0.1657: : 811iter [01:13, 11.43iter/s]
Best score: 0.1657: : 811iter [01:13, 11.43iter/s]
Best score: 0.1657: : 812iter [01:13, 11.43iter/s]
Best score: 0.1657: : 813iter [01:13, 11.78iter/s]
Best score: 0.1657: : 813iter [01:13, 11.78iter/s]
Best score: 0.1657: : 814iter [01:13, 11.78iter/s]
Best score: 0.1657: : 815iter [01:13, 12.10iter/s]
Best score: 0.1657: : 815iter [01:13, 12.10iter/s]
Best score: 0.1657: : 816iter [01:13, 12.10iter/s]
Best score: 0.1657: : 817iter [01:13, 12.31iter/s]
Best score: 0.1657: : 817iter [01:13, 12.31iter/s]
Best score: 0.1657: : 818iter [01:13, 12.31iter/s]
Best score: 0.1657: : 819iter [01:13, 12.36iter/s]
Best score: 0.1654: : 819iter [01:13, 12.36iter/s]
Best score: 0.1654: : 820iter [01:13, 12.36iter/s]
Best score: 0.1654: : 821iter [01:13, 12.27iter/s]
Best score: 0.1654: : 821iter [01:13, 12.27iter/s]
Best score: 0.1654: : 822iter [01:14, 12.27iter/s]
Best score: 0.1654: : 823iter [01:14, 12.43iter/s]
Best score: 0.1654: : 823iter [01:14, 12.43iter/s]
Best score: 0.1654: : 824iter [01:14, 12.43iter/s]
Best score: 0.1654: : 825iter [01:14, 12.54iter/s]
Best score: 0.1654: : 825iter [01:14, 12.54iter/s]
Best score: 0.1654: : 826iter [01:14, 12.54iter/s]
Best score: 0.1654: : 827iter [01:14, 12.61iter/s]
Best score: 0.1654: : 827iter [01:14, 12.61iter/s]
Best score: 0.1654: : 828iter [01:14, 12.61iter/s]
Best score: 0.1654: : 829iter [01:14, 12.70iter/s]
Best score: 0.1652: : 829iter [01:14, 12.70iter/s]
Best score: 0.1652: : 830iter [01:14, 12.70iter/s]
Best score: 0.1652: : 831iter [01:14, 12.54iter/s]
Best score: 0.1652: : 831iter [01:14, 12.54iter/s]
Best score: 0.1652: : 832iter [01:14, 12.54iter/s]
Best score: 0.1652: : 833iter [01:14, 12.65iter/s]
Best score: 0.1652: : 833iter [01:14, 12.65iter/s]
Best score: 0.1652: : 834iter [01:14, 12.65iter/s]
Best score: 0.1652: : 835iter [01:14, 12.69iter/s]
Best score: 0.1652: : 835iter [01:15, 12.69iter/s]
Best score: 0.1652: : 836iter [01:15, 12.69iter/s]
Best score: 0.1652: : 837iter [01:15, 12.76iter/s]
Best score: 0.1652: : 837iter [01:15, 12.76iter/s]
Best score: 0.1652: : 838iter [01:15, 12.76iter/s]
Best score: 0.1652: : 839iter [01:15, 12.74iter/s]
Best score: 0.1645: : 839iter [01:15, 12.74iter/s]
Best score: 0.1645: : 840iter [01:15, 12.74iter/s]
Best score: 0.1645: : 841iter [01:15, 12.55iter/s]
Best score: 0.1645: : 841iter [01:15, 12.55iter/s]
Best score: 0.1645: : 842iter [01:15, 12.55iter/s]
Best score: 0.1645: : 843iter [01:15, 12.63iter/s]
Best score: 0.1645: : 843iter [01:15, 12.63iter/s]
Best score: 0.1645: : 844iter [01:15, 12.63iter/s]
Best score: 0.1645: : 845iter [01:15, 12.71iter/s]
Best score: 0.1645: : 845iter [01:15, 12.71iter/s]
Best score: 0.1645: : 846iter [01:15, 12.71iter/s]
Best score: 0.1645: : 847iter [01:15, 12.75iter/s]
Best score: 0.1645: : 847iter [01:15, 12.75iter/s]
Best score: 0.1645: : 848iter [01:16, 12.75iter/s]
Best score: 0.1645: : 849iter [01:16, 12.78iter/s]
[ITER 850] Best: 0.1645
[PARAMS] Current best parameters:
  fx: 525.9252
  fy: 525.8491
  px: 1040.4323
  py: 720.4330
  k1: 0.00297385
  k2: 0.00653475
  k3: -0.00477605
  k4: 0.00052963
  p1: -0.00187977
  p2: 0.00691966
  p3: 0.00742277
  p4: -0.00692279
  s1: -0.0149
  s2: 0.0060
  s3: -0.0083
  s4: 0.0061
  tilt_x: 0.0530
  tilt_y: 0.0085
  scale: 2.9708
  rotation: -0.1376

Best score: 0.1645: : 849iter [01:16, 12.78iter/s]
Best score: 0.1645: : 850iter [01:16, 12.78iter/s]
Best score: 0.1645: : 851iter [01:16,  8.11iter/s]
Best score: 0.1645: : 851iter [01:16,  8.11iter/s]
Best score: 0.1645: : 852iter [01:16,  8.11iter/s]
Best score: 0.1645: : 853iter [01:16,  9.12iter/s]
Best score: 0.1645: : 853iter [01:16,  9.12iter/s]
Best score: 0.1645: : 854iter [01:16,  9.12iter/s]
Best score: 0.1645: : 855iter [01:16, 10.00iter/s]
Best score: 0.1645: : 855iter [01:16, 10.00iter/s]
Best score: 0.1645: : 856iter [01:16, 10.00iter/s]
Best score: 0.1645: : 857iter [01:16, 10.69iter/s]
Best score: 0.1645: : 857iter [01:17, 10.69iter/s]
Best score: 0.1645: : 858iter [01:17, 10.69iter/s]
Best score: 0.1645: : 859iter [01:17, 11.27iter/s]
Best score: 0.1630: : 859iter [01:17, 11.27iter/s]
Best score: 0.1630: : 860iter [01:17, 11.27iter/s]
Best score: 0.1630: : 861iter [01:17, 11.50iter/s]
Best score: 0.1630: : 861iter [01:17, 11.50iter/s]
Best score: 0.1630: : 862iter [01:17, 11.50iter/s]
Best score: 0.1630: : 863iter [01:17, 11.88iter/s]
Best score: 0.1630: : 863iter [01:17, 11.88iter/s]
Best score: 0.1630: : 864iter [01:17, 11.88iter/s]
Best score: 0.1630: : 865iter [01:17, 12.16iter/s]
Best score: 0.1630: : 865iter [01:17, 12.16iter/s]
Best score: 0.1630: : 866iter [01:17, 12.16iter/s]
Best score: 0.1630: : 867iter [01:17, 12.36iter/s]
Best score: 0.1630: : 867iter [01:17, 12.36iter/s]
Best score: 0.1630: : 868iter [01:17, 12.36iter/s]
Best score: 0.1630: : 869iter [01:17, 12.49iter/s]
Best score: 0.1630: : 869iter [01:18, 12.49iter/s]
Best score: 0.1630: : 870iter [01:18, 12.49iter/s]
Best score: 0.1630: : 871iter [01:18, 12.38iter/s]
Best score: 0.1630: : 871iter [01:18, 12.38iter/s]
Best score: 0.1630: : 872iter [01:18, 12.38iter/s]
Best score: 0.1630: : 873iter [01:18, 12.52iter/s]
Best score: 0.1630: : 873iter [01:18, 12.52iter/s]
Best score: 0.1630: : 874iter [01:18, 12.52iter/s]
Best score: 0.1630: : 875iter [01:18, 12.59iter/s]
Best score: 0.1630: : 875iter [01:18, 12.59iter/s]
Best score: 0.1630: : 876iter [01:18, 12.59iter/s]
Best score: 0.1630: : 877iter [01:18, 12.63iter/s]
Best score: 0.1630: : 877iter [01:18, 12.63iter/s]
Best score: 0.1630: : 878iter [01:18, 12.63iter/s]
Best score: 0.1630: : 879iter [01:18, 12.54iter/s]
Best score: 0.1630: : 879iter [01:18, 12.54iter/s]
Best score: 0.1630: : 880iter [01:18, 12.54iter/s]
Best score: 0.1630: : 881iter [01:18, 12.40iter/s]
Best score: 0.1630: : 881iter [01:18, 12.40iter/s]
Best score: 0.1630: : 882iter [01:19, 12.40iter/s]
Best score: 0.1630: : 883iter [01:19, 12.53iter/s]
Best score: 0.1630: : 883iter [01:19, 12.53iter/s]
Best score: 0.1630: : 884iter [01:19, 12.53iter/s]
Best score: 0.1630: : 885iter [01:19, 12.63iter/s]
Best score: 0.1630: : 885iter [01:19, 12.63iter/s]
Best score: 0.1630: : 886iter [01:19, 12.63iter/s]
Best score: 0.1630: : 887iter [01:19, 12.69iter/s]
Best score: 0.1630: : 887iter [01:19, 12.69iter/s]
Best score: 0.1630: : 888iter [01:19, 12.69iter/s]
Best score: 0.1630: : 889iter [01:19, 12.76iter/s]
Best score: 0.1630: : 889iter [01:19, 12.76iter/s]
Best score: 0.1630: : 890iter [01:19, 12.76iter/s]
Best score: 0.1630: : 891iter [01:19, 12.58iter/s]
Best score: 0.1630: : 891iter [01:19, 12.58iter/s]
Best score: 0.1630: : 892iter [01:19, 12.58iter/s]
Best score: 0.1630: : 893iter [01:19, 12.67iter/s]
Best score: 0.1630: : 893iter [01:19, 12.67iter/s]
Best score: 0.1630: : 894iter [01:19, 12.67iter/s]
Best score: 0.1630: : 895iter [01:19, 12.71iter/s]
Best score: 0.1630: : 895iter [01:20, 12.71iter/s]
Best score: 0.1630: : 896iter [01:20, 12.71iter/s]
Best score: 0.1630: : 897iter [01:20, 12.75iter/s]
Best score: 0.1630: : 897iter [01:20, 12.75iter/s]
Best score: 0.1630: : 898iter [01:20, 12.75iter/s]
Best score: 0.1630: : 899iter [01:20, 12.80iter/s]
[ITER 900] Best: 0.1626
[PARAMS] Current best parameters:
  fx: 523.1365
  fy: 523.0725
  px: 1040.3678
  py: 720.5640
  k1: 0.01251566
  k2: -0.00387496
  k3: 0.00094020
  k4: -0.00061471
  p1: -0.00117458
  p2: 0.00635171
  p3: 0.01037608
  p4: -0.00843840
  s1: -0.0178
  s2: 0.0077
  s3: -0.0125
  s4: 0.0080
  tilt_x: 0.0522
  tilt_y: 0.0075
  scale: 2.9656
  rotation: -0.1497

Best score: 0.1626: : 899iter [01:20, 12.80iter/s]
Best score: 0.1626: : 900iter [01:20, 12.80iter/s]
Best score: 0.1626: : 901iter [01:20,  8.13iter/s]
Best score: 0.1626: : 901iter [01:20,  8.13iter/s]
Best score: 0.1626: : 902iter [01:20,  8.13iter/s]
Best score: 0.1626: : 903iter [01:20,  9.14iter/s]
Best score: 0.1626: : 903iter [01:20,  9.14iter/s]
Best score: 0.1626: : 904iter [01:21,  9.14iter/s]
Best score: 0.1626: : 905iter [01:21, 10.00iter/s]
Best score: 0.1626: : 905iter [01:21, 10.00iter/s]
Best score: 0.1626: : 906iter [01:21, 10.00iter/s]
Best score: 0.1626: : 907iter [01:21, 10.71iter/s]
Best score: 0.1626: : 907iter [01:21, 10.71iter/s]
Best score: 0.1626: : 908iter [01:21, 10.71iter/s]
Best score: 0.1626: : 909iter [01:21, 11.28iter/s]
Best score: 0.1626: : 909iter [01:21, 11.28iter/s]
Best score: 0.1626: : 910iter [01:21, 11.28iter/s]
Best score: 0.1626: : 911iter [01:21, 11.54iter/s]
Best score: 0.1626: : 911iter [01:21, 11.54iter/s]
Best score: 0.1626: : 912iter [01:21, 11.54iter/s]
Best score: 0.1626: : 913iter [01:21, 11.90iter/s]
Best score: 0.1626: : 913iter [01:21, 11.90iter/s]
Best score: 0.1626: : 914iter [01:21, 11.90iter/s]
Best score: 0.1626: : 915iter [01:21, 12.17iter/s]
Best score: 0.1626: : 915iter [01:21, 12.17iter/s]
Best score: 0.1626: : 916iter [01:22, 12.17iter/s]
Best score: 0.1626: : 917iter [01:22, 12.37iter/s]
Best score: 0.1626: : 917iter [01:22, 12.37iter/s]
Best score: 0.1626: : 918iter [01:22, 12.37iter/s]
Best score: 0.1626: : 919iter [01:22, 12.43iter/s]
Best score: 0.1626: : 919iter [01:22, 12.43iter/s]
Best score: 0.1626: : 920iter [01:22, 12.43iter/s]
Best score: 0.1626: : 921iter [01:22, 12.32iter/s]
Best score: 0.1626: : 921iter [01:22, 12.32iter/s]
Best score: 0.1626: : 922iter [01:22, 12.32iter/s]
Best score: 0.1626: : 923iter [01:22, 12.47iter/s]
Best score: 0.1626: : 923iter [01:22, 12.47iter/s]
Best score: 0.1626: : 924iter [01:22, 12.47iter/s]
Best score: 0.1626: : 925iter [01:22, 12.55iter/s]
Best score: 0.1626: : 925iter [01:22, 12.55iter/s]
Best score: 0.1626: : 926iter [01:22, 12.55iter/s]
Best score: 0.1626: : 927iter [01:22, 12.62iter/s]
Best score: 0.1626: : 927iter [01:22, 12.62iter/s]
Best score: 0.1626: : 928iter [01:22, 12.62iter/s]
Best score: 0.1626: : 929iter [01:22, 12.71iter/s]
Best score: 0.1626: : 929iter [01:23, 12.71iter/s]
Best score: 0.1626: : 930iter [01:23, 12.71iter/s]
Best score: 0.1626: : 931iter [01:23, 12.52iter/s]
Best score: 0.1626: : 931iter [01:23, 12.52iter/s]
Best score: 0.1626: : 932iter [01:23, 12.52iter/s]
Best score: 0.1626: : 933iter [01:23, 12.60iter/s]
Best score: 0.1626: : 933iter [01:23, 12.60iter/s]
Best score: 0.1626: : 934iter [01:23, 12.60iter/s]
Best score: 0.1626: : 935iter [01:23, 12.62iter/s]
Best score: 0.1626: : 935iter [01:23, 12.62iter/s]
Best score: 0.1626: : 936iter [01:23, 12.62iter/s]
Best score: 0.1626: : 937iter [01:23, 12.69iter/s]
Best score: 0.1626: : 937iter [01:23, 12.69iter/s]
Best score: 0.1626: : 938iter [01:23, 12.69iter/s]
Best score: 0.1626: : 939iter [01:23, 12.73iter/s]
Best score: 0.1625: : 939iter [01:23, 12.73iter/s]
Best score: 0.1625: : 940iter [01:23, 12.73iter/s]
Best score: 0.1625: : 941iter [01:23, 12.56iter/s]
Best score: 0.1625: : 941iter [01:23, 12.56iter/s]
Best score: 0.1625: : 942iter [01:24, 12.56iter/s]
Best score: 0.1625: : 943iter [01:24, 12.65iter/s]
Best score: 0.1625: : 943iter [01:24, 12.65iter/s]
Best score: 0.1625: : 944iter [01:24, 12.65iter/s]
Best score: 0.1625: : 945iter [01:24, 12.69iter/s]
Best score: 0.1625: : 945iter [01:24, 12.69iter/s]
Best score: 0.1625: : 946iter [01:24, 12.69iter/s]
Best score: 0.1625: : 947iter [01:24, 12.74iter/s]
Best score: 0.1625: : 947iter [01:24, 12.74iter/s]
Best score: 0.1625: : 948iter [01:24, 12.74iter/s]
Best score: 0.1625: : 949iter [01:24, 12.78iter/s]
[ITER 950] Best: 0.1625
[PARAMS] Current best parameters:
  fx: 523.3634
  fy: 523.2826
  px: 1040.6391
  py: 720.4489
  k1: 0.01316822
  k2: -0.00573656
  k3: 0.00233795
  k4: -0.00096398
  p1: -0.00155841
  p2: 0.00683398
  p3: 0.00904836
  p4: -0.00779800
  s1: -0.0168
  s2: 0.0072
  s3: -0.0111
  s4: 0.0075
  tilt_x: 0.0524
  tilt_y: 0.0071
  scale: 2.9652
  rotation: -0.1455

Best score: 0.1625: : 949iter [01:24, 12.78iter/s]
Best score: 0.1625: : 950iter [01:24, 12.78iter/s]
Best score: 0.1625: : 951iter [01:24,  8.13iter/s]
Best score: 0.1625: : 951iter [01:25,  8.13iter/s]
Best score: 0.1625: : 952iter [01:25,  8.13iter/s]
Best score: 0.1625: : 953iter [01:25,  9.11iter/s]
Best score: 0.1625: : 953iter [01:25,  9.11iter/s]
Best score: 0.1625: : 954iter [01:25,  9.11iter/s]
Best score: 0.1625: : 955iter [01:25,  9.94iter/s]
Best score: 0.1625: : 955iter [01:25,  9.94iter/s]
Best score: 0.1625: : 956iter [01:25,  9.94iter/s]
Best score: 0.1625: : 957iter [01:25, 10.66iter/s]
Best score: 0.1625: : 957iter [01:25, 10.66iter/s]
Best score: 0.1625: : 958iter [01:25, 10.66iter/s]
Best score: 0.1625: : 959iter [01:25, 11.24iter/s]
Best score: 0.1625: : 959iter [01:25, 11.24iter/s]
Best score: 0.1625: : 960iter [01:25, 11.24iter/s]
Best score: 0.1625: : 961iter [01:25, 11.51iter/s]
Best score: 0.1625: : 961iter [01:25, 11.51iter/s]
Best score: 0.1625: : 962iter [01:25, 11.51iter/s]
Best score: 0.1625: : 963iter [01:25, 11.84iter/s]
Best score: 0.1625: : 963iter [01:26, 11.84iter/s]
Best score: 0.1625: : 964iter [01:26, 11.84iter/s]
Best score: 0.1625: : 965iter [01:26, 12.12iter/s]
Best score: 0.1625: : 965iter [01:26, 12.12iter/s]
Best score: 0.1625: : 966iter [01:26, 12.12iter/s]
Best score: 0.1625: : 967iter [01:26, 12.30iter/s]
Best score: 0.1625: : 967iter [01:26, 12.30iter/s]
Best score: 0.1625: : 968iter [01:26, 12.30iter/s]
Best score: 0.1625: : 969iter [01:26, 12.45iter/s]
Best score: 0.1625: : 969iter [01:26, 12.45iter/s]
Best score: 0.1625: : 970iter [01:26, 12.45iter/s]
Best score: 0.1625: : 971iter [01:26, 12.36iter/s]
Best score: 0.1625: : 971iter [01:26, 12.36iter/s]
Best score: 0.1625: : 972iter [01:26, 12.36iter/s]
Best score: 0.1625: : 973iter [01:26, 12.50iter/s]
Best score: 0.1625: : 973iter [01:26, 12.50iter/s]
Best score: 0.1625: : 974iter [01:26, 12.50iter/s]
Best score: 0.1625: : 975iter [01:26, 12.61iter/s]
Best score: 0.1625: : 975iter [01:26, 12.61iter/s]
Best score: 0.1625: : 976iter [01:27, 12.61iter/s]
Best score: 0.1625: : 977iter [01:27, 12.63iter/s]
Best score: 0.1625: : 977iter [01:27, 12.63iter/s]
Best score: 0.1625: : 978iter [01:27, 12.63iter/s]
Best score: 0.1625: : 979iter [01:27, 12.57iter/s]
Best score: 0.1624: : 979iter [01:27, 12.57iter/s]
Best score: 0.1624: : 980iter [01:27, 12.57iter/s]
Best score: 0.1624: : 981iter [01:27, 12.42iter/s]
Best score: 0.1624: : 981iter [01:27, 12.42iter/s]
Best score: 0.1624: : 982iter [01:27, 12.42iter/s]
Best score: 0.1624: : 983iter [01:27, 12.55iter/s]
Best score: 0.1624: : 983iter [01:27, 12.55iter/s]
Best score: 0.1624: : 984iter [01:27, 12.55iter/s]
Best score: 0.1624: : 985iter [01:27, 12.63iter/s]
Best score: 0.1624: : 985iter [01:27, 12.63iter/s]
Best score: 0.1624: : 986iter [01:27, 12.63iter/s]
Best score: 0.1624: : 987iter [01:27, 12.64iter/s]
Best score: 0.1624: : 987iter [01:27, 12.64iter/s]
Best score: 0.1624: : 988iter [01:27, 12.64iter/s]
Best score: 0.1624: : 989iter [01:27, 12.65iter/s]
Best score: 0.1623: : 989iter [01:28, 12.65iter/s]
Best score: 0.1623: : 990iter [01:28, 12.65iter/s]
Best score: 0.1623: : 991iter [01:28, 12.43iter/s]
Best score: 0.1623: : 991iter [01:28, 12.43iter/s]
Best score: 0.1623: : 992iter [01:28, 12.43iter/s]
Best score: 0.1623: : 993iter [01:28, 12.54iter/s]
Best score: 0.1623: : 993iter [01:28, 12.54iter/s]
Best score: 0.1623: : 994iter [01:28, 12.54iter/s]
Best score: 0.1623: : 995iter [01:28, 12.63iter/s]
Best score: 0.1623: : 995iter [01:28, 12.63iter/s]
Best score: 0.1623: : 996iter [01:28, 12.63iter/s]
Best score: 0.1623: : 997iter [01:28, 12.69iter/s]
Best score: 0.1623: : 997iter [01:28, 12.69iter/s]
Best score: 0.1623: : 998iter [01:28, 12.69iter/s]
Best score: 0.1623: : 999iter [01:28, 12.73iter/s]
[ITER 1000] Best: 0.1623
[PARAMS] Current best parameters:
  fx: 523.9531
  fy: 523.8397
  px: 1040.2721
  py: 720.5307
  k1: 0.01212789
  k2: -0.00463753
  k3: 0.00150635
  k4: -0.00074827
  p1: -0.00153447
  p2: 0.00636103
  p3: 0.00776911
  p4: -0.00779818
  s1: -0.0154
  s2: 0.0071
  s3: -0.0096
  s4: 0.0075
  tilt_x: 0.0527
  tilt_y: 0.0080
  scale: 2.9651
  rotation: -0.1434

Best score: 0.1623: : 999iter [01:28, 12.73iter/s]
Best score: 0.1623: : 1000iter [01:29, 12.73iter/s]
Best score: 0.1623: : 1001iter [01:29,  8.11iter/s]
Best score: 0.1623: : 1001iter [01:29,  8.11iter/s]
Best score: 0.1623: : 1002iter [01:29,  8.11iter/s]
Best score: 0.1623: : 1003iter [01:29,  9.08iter/s]
Best score: 0.1623: : 1003iter [01:29,  9.08iter/s]
Best score: 0.1623: : 1004iter [01:29,  9.08iter/s]
Best score: 0.1623: : 1005iter [01:29,  9.89iter/s]
Best score: 0.1623: : 1005iter [01:29,  9.89iter/s]
Best score: 0.1623: : 1006iter [01:29,  9.89iter/s]
Best score: 0.1623: : 1007iter [01:29, 10.62iter/s]
Best score: 0.1623: : 1007iter [01:29, 10.62iter/s]
Best score: 0.1623: : 1008iter [01:29, 10.62iter/s]
Best score: 0.1623: : 1009iter [01:29, 11.21iter/s]
Best score: 0.1622: : 1009iter [01:29, 11.21iter/s]
Best score: 0.1622: : 1010iter [01:30, 11.21iter/s]
Best score: 0.1622: : 1011iter [01:30, 11.47iter/s]
Best score: 0.1622: : 1011iter [01:30, 11.47iter/s]
Best score: 0.1622: : 1012iter [01:30, 11.47iter/s]
Best score: 0.1622: : 1013iter [01:30, 11.84iter/s]
Best score: 0.1622: : 1013iter [01:30, 11.84iter/s]
Best score: 0.1622: : 1014iter [01:30, 11.84iter/s]
Best score: 0.1622: : 1015iter [01:30, 12.10iter/s]
Best score: 0.1622: : 1015iter [01:30, 12.10iter/s]
Best score: 0.1622: : 1016iter [01:30, 12.10iter/s]
Best score: 0.1622: : 1017iter [01:30, 12.30iter/s]
Best score: 0.1622: : 1017iter [01:30, 12.30iter/s]
Best score: 0.1622: : 1018iter [01:30, 12.30iter/s]
Best score: 0.1622: : 1019iter [01:30, 12.41iter/s]
Best score: 0.1622: : 1019iter [01:30, 12.41iter/s]
Best score: 0.1622: : 1020iter [01:30, 12.41iter/s]
Best score: 0.1622: : 1021iter [01:30, 12.32iter/s]
Best score: 0.1622: : 1021iter [01:30, 12.32iter/s]
Best score: 0.1622: : 1022iter [01:30, 12.32iter/s]
Best score: 0.1622: : 1023iter [01:30, 12.47iter/s]
Best score: 0.1622: : 1023iter [01:31, 12.47iter/s]
Best score: 0.1622: : 1024iter [01:31, 12.47iter/s]
Best score: 0.1622: : 1025iter [01:31, 12.57iter/s]
Best score: 0.1622: : 1025iter [01:31, 12.57iter/s]
Best score: 0.1622: : 1026iter [01:31, 12.57iter/s]
Best score: 0.1622: : 1027iter [01:31, 12.65iter/s]
Best score: 0.1622: : 1027iter [01:31, 12.65iter/s]
Best score: 0.1622: : 1028iter [01:31, 12.65iter/s]
Best score: 0.1622: : 1029iter [01:31, 12.64iter/s]
Best score: 0.1622: : 1029iter [01:31, 12.64iter/s]
Best score: 0.1622: : 1030iter [01:31, 12.64iter/s]
Best score: 0.1622: : 1031iter [01:31, 12.50iter/s]
Best score: 0.1622: : 1031iter [01:31, 12.50iter/s]
Best score: 0.1622: : 1032iter [01:31, 12.50iter/s]
Best score: 0.1622: : 1033iter [01:31, 12.61iter/s]
Best score: 0.1622: : 1033iter [01:31, 12.61iter/s]
Best score: 0.1622: : 1034iter [01:31, 12.61iter/s]
Best score: 0.1622: : 1035iter [01:31, 12.62iter/s]
Best score: 0.1622: : 1035iter [01:32, 12.62iter/s]
Best score: 0.1622: : 1036iter [01:32, 12.62iter/s]
Best score: 0.1622: : 1037iter [01:32, 12.70iter/s]
Best score: 0.1622: : 1037iter [01:32, 12.70iter/s]
Best score: 0.1622: : 1038iter [01:32, 12.70iter/s]
Best score: 0.1622: : 1039iter [01:32, 12.75iter/s]
Best score: 0.1621: : 1039iter [01:32, 12.75iter/s]
Best score: 0.1621: : 1040iter [01:32, 12.75iter/s]
Best score: 0.1621: : 1041iter [01:32, 12.57iter/s]
Best score: 0.1621: : 1041iter [01:32, 12.57iter/s]
Best score: 0.1621: : 1042iter [01:32, 12.57iter/s]
Best score: 0.1621: : 1043iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1043iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1044iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1045iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1045iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1046iter [01:32, 12.60iter/s]
Best score: 0.1621: : 1047iter [01:32, 12.63iter/s]
Best score: 0.1621: : 1047iter [01:32, 12.63iter/s]
Best score: 0.1621: : 1048iter [01:33, 12.63iter/s]
Best score: 0.1621: : 1049iter [01:33, 12.66iter/s]
[ITER 1050] Best: 0.1621
[PARAMS] Current best parameters:
  fx: 523.7004
  fy: 523.5831
  px: 1039.8001
  py: 720.4596
  k1: 0.01251115
  k2: -0.00451905
  k3: 0.00125696
  k4: -0.00066753
  p1: -0.00197583
  p2: 0.00533348
  p3: 0.00898017
  p4: -0.00831937
  s1: -0.0159
  s2: 0.0076
  s3: -0.0107
  s4: 0.0082
  tilt_x: 0.0532
  tilt_y: 0.0081
  scale: 2.9648
  rotation: -0.1459

Best score: 0.1621: : 1049iter [01:33, 12.66iter/s]
Best score: 0.1621: : 1050iter [01:33, 12.66iter/s]
Best score: 0.1621: : 1051iter [01:33,  8.10iter/s]
Best score: 0.1621: : 1051iter [01:33,  8.10iter/s]
Best score: 0.1621: : 1052iter [01:33,  8.10iter/s]
Best score: 0.1621: : 1053iter [01:33,  9.11iter/s]
Best score: 0.1621: : 1053iter [01:33,  9.11iter/s]
Best score: 0.1621: : 1054iter [01:33,  9.11iter/s]
Best score: 0.1621: : 1055iter [01:33,  9.97iter/s]
Best score: 0.1621: : 1055iter [01:33,  9.97iter/s]
Best score: 0.1621: : 1056iter [01:33,  9.97iter/s]
Best score: 0.1621: : 1057iter [01:33, 10.65iter/s]
Best score: 0.1621: : 1057iter [01:34, 10.65iter/s]
Best score: 0.1621: : 1058iter [01:34, 10.65iter/s]
Best score: 0.1621: : 1059iter [01:34, 11.23iter/s]
Best score: 0.1621: : 1059iter [01:34, 11.23iter/s]
Best score: 0.1621: : 1060iter [01:34, 11.23iter/s]
Best score: 0.1621: : 1061iter [01:34, 11.49iter/s]
Best score: 0.1621: : 1061iter [01:34, 11.49iter/s]
Best score: 0.1621: : 1062iter [01:34, 11.49iter/s]
Best score: 0.1621: : 1063iter [01:34, 11.88iter/s]
Best score: 0.1621: : 1063iter [01:34, 11.88iter/s]
Best score: 0.1621: : 1064iter [01:34, 11.88iter/s]
Best score: 0.1621: : 1065iter [01:34, 12.17iter/s]
Best score: 0.1621: : 1065iter [01:34, 12.17iter/s]
Best score: 0.1621: : 1066iter [01:34, 12.17iter/s]
Best score: 0.1621: : 1067iter [01:34, 12.37iter/s]
Best score: 0.1621: : 1067iter [01:34, 12.37iter/s]
Best score: 0.1621: : 1068iter [01:34, 12.37iter/s]
Best score: 0.1621: : 1069iter [01:34, 12.46iter/s]
Best score: 0.1620: : 1069iter [01:34, 12.46iter/s]
Best score: 0.1620: : 1070iter [01:35, 12.46iter/s]
Best score: 0.1620: : 1071iter [01:35, 12.36iter/s]
Best score: 0.1620: : 1071iter [01:35, 12.36iter/s]
Best score: 0.1620: : 1072iter [01:35, 12.36iter/s]
Best score: 0.1620: : 1073iter [01:35, 12.51iter/s]
Best score: 0.1620: : 1073iter [01:35, 12.51iter/s]
Best score: 0.1620: : 1074iter [01:35, 12.51iter/s]
Best score: 0.1620: : 1075iter [01:35, 12.58iter/s]
Best score: 0.1620: : 1075iter [01:35, 12.58iter/s]
Best score: 0.1620: : 1076iter [01:35, 12.58iter/s]
Best score: 0.1620: : 1077iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1077iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1078iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1079iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1079iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1080iter [01:35, 12.66iter/s]
Best score: 0.1620: : 1081iter [01:35, 12.49iter/s]
Best score: 0.1620: : 1081iter [01:35, 12.49iter/s]
Best score: 0.1620: : 1082iter [01:36, 12.49iter/s]
Best score: 0.1620: : 1083iter [01:36, 12.55iter/s]
Best score: 0.1620: : 1083iter [01:36, 12.55iter/s]
Best score: 0.1620: : 1084iter [01:36, 12.55iter/s]
Best score: 0.1620: : 1085iter [01:36, 12.58iter/s]
Best score: 0.1620: : 1085iter [01:36, 12.58iter/s]
Best score: 0.1620: : 1086iter [01:36, 12.58iter/s]
Best score: 0.1620: : 1087iter [01:36, 12.66iter/s]
Best score: 0.1620: : 1087iter [01:36, 12.66iter/s]
Best score: 0.1620: : 1088iter [01:36, 12.66iter/s]
Best score: 0.1620: : 1089iter [01:36, 12.68iter/s]
Best score: 0.1620: : 1089iter [01:36, 12.68iter/s]
Best score: 0.1620: : 1090iter [01:36, 12.68iter/s]
Best score: 0.1620: : 1091iter [01:36, 12.54iter/s]
Best score: 0.1620: : 1091iter [01:36, 12.54iter/s]
Best score: 0.1620: : 1092iter [01:36, 12.54iter/s]
Best score: 0.1620: : 1093iter [01:36, 12.63iter/s]
Best score: 0.1620: : 1093iter [01:36, 12.63iter/s]
Best score: 0.1620: : 1094iter [01:36, 12.63iter/s]
Best score: 0.1620: : 1095iter [01:36, 12.69iter/s]
Best score: 0.1620: : 1095iter [01:37, 12.69iter/s]
Best score: 0.1620: : 1096iter [01:37, 12.69iter/s]
Best score: 0.1620: : 1097iter [01:37, 12.69iter/s]
Best score: 0.1620: : 1097iter [01:37, 12.69iter/s]
Best score: 0.1620: : 1098iter [01:37, 12.69iter/s]
Best score: 0.1620: : 1099iter [01:37, 12.73iter/s]
[ITER 1100] Best: 0.1620
[PARAMS] Current best parameters:
  fx: 523.3977
  fy: 523.2875
  px: 1039.8914
  py: 720.4261
  k1: 0.01328584
  k2: -0.00486035
  k3: 0.00120546
  k4: -0.00061527
  p1: -0.00168061
  p2: 0.00534158
  p3: 0.00996252
  p4: -0.00864263
  s1: -0.0169
  s2: 0.0080
  s3: -0.0121
  s4: 0.0086
  tilt_x: 0.0525
  tilt_y: 0.0077
  scale: 2.9640
  rotation: -0.1470

Best score: 0.1620: : 1099iter [01:37, 12.73iter/s]
Best score: 0.1620: : 1100iter [01:37, 11.26iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish did not improve score: 0.162006

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 92,468 → 86,119 within 3500mm ring
  Ring polish did not improve score: 0.162006
  Success: False
  Tangential distortion: p1=-0.001681, p2=0.005342, p3=0.009963, p4=-0.008643
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1620
[✅] Parameters copied to: /working/MDC034_W023(6)_2026-10-06/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 523.3976773736086
    fy: 523.2874751853382
    px: 1039.8913708843313
    py: 720.4260813021288
    k1: 0.013285840826467287
    k2: -0.004860349376409903
    k3: 0.0012054591781178626
    k4: -0.0006152726972346201
    p1: -0.0016806134404546093
    p2: 0.005341580609959673
    p3: 0.009962523155927216
    p4: -0.008642629395073143
    scale: 2.963995337569787
    rotation: -0.14695910091079012
    mmpp: 3.408857495902219

[🔄] Converting 1619 frames to PTD, creating debug images for 400 calibration frames...

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

   🔄 2000R:   0%|          | 0/323 [00:00<?, ?frame/s]

   🔄 2000R:   5%|▌         | 17/323 [00:00<00:01, 169.36frame/s]

   🔄 2000R:  11%|█         | 35/323 [00:00<00:01, 172.00frame/s]

   🔄 2000R:  16%|█▋        | 53/323 [00:00<00:01, 174.52frame/s]

   🔄 2000R:  22%|██▏       | 71/323 [00:00<00:02, 110.20frame/s]

   🔄 2000R:  28%|██▊       | 89/323 [00:00<00:01, 127.93frame/s]

   🔄 2000R:  33%|███▎      | 107/323 [00:00<00:01, 141.57frame/s]

   🔄 2000R:  39%|███▊      | 125/323 [00:00<00:01, 150.83frame/s]

   🔄 2000R:  44%|████▍     | 143/323 [00:00<00:01, 157.87frame/s]

   🔄 2000R:  50%|████▉     | 161/323 [00:01<00:00, 162.73frame/s]

   🔄 2000R:  56%|█████▌    | 181/323 [00:01<00:00, 171.60frame/s]

   🔄 2000R:  66%|██████▌   | 213/323 [00:01<00:00, 212.25frame/s]

   🔄 2000R:  73%|███████▎  | 235/323 [00:01<00:00, 207.79frame/s]

   🔄 2000R:  80%|███████▉  | 257/323 [00:01<00:00, 198.20frame/s]

   🔄 2000R:  86%|████████▌ | 278/323 [00:01<00:00, 191.59frame/s]

   🔄 2000R:  92%|█████████▏| 298/323 [00:01<00:00, 186.04frame/s]

   🔄 2000R:  98%|█████████▊| 317/323 [00:01<00:00, 182.98frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:03<00:10,  3.34s/rig]

   🔄 1500:   0%|          | 0/558 [00:00<?, ?frame/s]

   🔄 1500:   3%|▎         | 18/558 [00:00<00:03, 170.01frame/s]

   🔄 1500:   6%|▋         | 36/558 [00:00<00:03, 173.53frame/s]

   🔄 1500:  10%|▉         | 54/558 [00:00<00:02, 175.89frame/s]

   🔄 1500:  13%|█▎        | 72/558 [00:00<00:02, 177.17frame/s]

   🔄 1500:  16%|█▌        | 90/558 [00:00<00:02, 177.46frame/s]

   🔄 1500:  19%|█▉        | 108/558 [00:00<00:02, 178.07frame/s]

   🔄 1500:  23%|██▎       | 126/558 [00:00<00:02, 178.13frame/s]

   🔄 1500:  26%|██▌       | 144/558 [00:00<00:02, 177.58frame/s]

   🔄 1500:  29%|██▉       | 162/558 [00:00<00:02, 177.99frame/s]

   🔄 1500:  32%|███▏      | 180/558 [00:01<00:02, 178.15frame/s]

   🔄 1500:  35%|███▌      | 198/558 [00:01<00:02, 177.89frame/s]

   🔄 1500:  39%|███▉      | 217/558 [00:01<00:01, 178.57frame/s]

   🔄 1500:  42%|████▏     | 235/558 [00:01<00:01, 178.85frame/s]

   🔄 1500:  45%|████▌     | 253/558 [00:01<00:01, 178.87frame/s]

   🔄 1500:  49%|████▊     | 271/558 [00:01<00:01, 176.48frame/s]

   🔄 1500:  52%|█████▏    | 290/558 [00:01<00:01, 177.80frame/s]

   🔄 1500:  55%|█████▌    | 309/558 [00:01<00:01, 178.52frame/s]

   🔄 1500:  59%|█████▉    | 328/558 [00:01<00:01, 179.67frame/s]

   🔄 1500:  62%|██████▏   | 347/558 [00:01<00:01, 180.08frame/s]

   🔄 1500:  66%|██████▌   | 366/558 [00:02<00:01, 178.49frame/s]

   🔄 1500:  69%|██████▉   | 384/558 [00:02<00:00, 177.87frame/s]

   🔄 1500:  72%|███████▏  | 402/558 [00:02<00:00, 176.21frame/s]

   🔄 1500:  75%|███████▌  | 420/558 [00:02<00:00, 175.91frame/s]

   🔄 1500:  78%|███████▊  | 438/558 [00:02<00:00, 175.48frame/s]

   🔄 1500:  82%|████████▏ | 456/558 [00:02<00:00, 175.61frame/s]

   🔄 1500:  85%|████████▍ | 474/558 [00:02<00:00, 176.19frame/s]

   🔄 1500:  88%|████████▊ | 492/558 [00:02<00:00, 176.34frame/s]

   🔄 1500:  91%|█████████▏| 510/558 [00:02<00:00, 176.75frame/s]

   🔄 1500:  95%|█████████▍| 528/558 [00:02<00:00, 176.50frame/s]

   🔄 1500:  98%|█████████▊| 546/558 [00:03<00:00, 175.76frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:08<00:09,  4.66s/rig]

   🔄 1000:   0%|          | 0/445 [00:00<?, ?frame/s]

   🔄 1000:   4%|▍         | 19/445 [00:00<00:02, 188.88frame/s]

   🔄 1000:   9%|▊         | 38/445 [00:00<00:02, 185.49frame/s]

   🔄 1000:  13%|█▎        | 57/445 [00:00<00:02, 185.56frame/s]

   🔄 1000:  17%|█▋        | 76/445 [00:00<00:01, 185.57frame/s]

   🔄 1000:  21%|██▏       | 95/445 [00:00<00:01, 185.43frame/s]

   🔄 1000:  26%|██▌       | 114/445 [00:00<00:01, 184.91frame/s]

   🔄 1000:  30%|██▉       | 133/445 [00:00<00:01, 183.78frame/s]

   🔄 1000:  34%|███▍      | 152/445 [00:00<00:01, 182.85frame/s]

   🔄 1000:  38%|███▊      | 171/445 [00:00<00:01, 182.14frame/s]

   🔄 1000:  43%|████▎     | 190/445 [00:01<00:01, 182.67frame/s]

   🔄 1000:  47%|████▋     | 209/445 [00:01<00:01, 183.75frame/s]

   🔄 1000:  51%|█████     | 228/445 [00:01<00:01, 184.73frame/s]

   🔄 1000:  56%|█████▌    | 247/445 [00:01<00:01, 185.66frame/s]

   🔄 1000:  60%|█████▉    | 266/445 [00:01<00:00, 186.16frame/s]

   🔄 1000:  64%|██████▍   | 285/445 [00:01<00:00, 186.53frame/s]

   🔄 1000:  68%|██████▊   | 304/445 [00:01<00:00, 185.70frame/s]

   🔄 1000:  73%|███████▎  | 323/445 [00:01<00:00, 181.94frame/s]

   🔄 1000:  77%|███████▋  | 342/445 [00:01<00:00, 181.59frame/s]

   🔄 1000:  81%|████████  | 361/445 [00:01<00:00, 181.55frame/s]

   🔄 1000:  85%|████████▌ | 380/445 [00:02<00:00, 182.05frame/s]

   🔄 1000:  90%|████████▉ | 399/445 [00:02<00:00, 182.73frame/s]

   🔄 1000:  94%|█████████▍| 418/445 [00:02<00:00, 183.22frame/s]

   🔄 1000:  98%|█████████▊| 437/445 [00:02<00:00, 183.19frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:13<00:04,  4.44s/rig]

   🔄 2000L:   0%|          | 0/293 [00:00<?, ?frame/s]

   🔄 2000L:   6%|▌         | 18/293 [00:00<00:01, 172.97frame/s]

   🔄 2000L:  13%|█▎        | 37/293 [00:00<00:01, 179.39frame/s]

   🔄 2000L:  19%|█▉        | 55/293 [00:00<00:01, 178.67frame/s]

   🔄 2000L:  25%|██▌       | 74/293 [00:00<00:01, 179.45frame/s]

   🔄 2000L:  32%|███▏      | 93/293 [00:00<00:01, 179.66frame/s]

   🔄 2000L:  38%|███▊      | 111/293 [00:00<00:01, 178.74frame/s]

   🔄 2000L:  44%|████▍     | 130/293 [00:00<00:00, 179.51frame/s]

   🔄 2000L:  51%|█████     | 148/293 [00:00<00:00, 177.13frame/s]

   🔄 2000L:  57%|█████▋    | 166/293 [00:00<00:00, 176.07frame/s]

   🔄 2000L:  63%|██████▎   | 184/293 [00:01<00:00, 175.60frame/s]

   🔄 2000L:  69%|██████▉   | 202/293 [00:01<00:00, 175.51frame/s]

   🔄 2000L:  75%|███████▌  | 220/293 [00:01<00:00, 175.96frame/s]

   🔄 2000L:  81%|████████  | 238/293 [00:01<00:00, 176.48frame/s]

   🔄 2000L:  87%|████████▋ | 256/293 [00:01<00:00, 176.94frame/s]

   🔄 2000L:  94%|█████████▎| 274/293 [00:01<00:00, 176.78frame/s]

   🔄 2000L: 100%|█████████▉| 292/293 [00:01<00:00, 176.03frame/s]

                                                                  
📁 Rigs: 100%|██████████| 4/4 [00:16<00:00,  3.83s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:16<00:00,  4.00s/rig]
[✅] Saved PTDs: /working/MDC034_W023(6)_2026-10-06/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 173.91frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 173.92frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 173.06frame/s]

   🔄 2000R:  77%|███████▋  | 77/100 [00:00<00:00, 194.09frame/s]

   🔄 2000R:  97%|█████████▋| 97/100 [00:00<00:00, 185.82frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:01<00:03,  1.01s/rig]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 174.85frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 174.92frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 176.93frame/s]

   🔄 1500:  72%|███████▏  | 72/100 [00:00<00:00, 177.69frame/s]

   🔄 1500:  90%|█████████ | 90/100 [00:00<00:00, 177.29frame/s]

                                                                
📁 Rigs:  50%|█████     | 2/4 [00:01<00:01,  1.04rig/s]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 182.99frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 180.39frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 181.61frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 181.38frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 181.83frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.00rig/s]

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 173.60frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 176.90frame/s]

   🔄 2000L:  55%|█████▌    | 55/100 [00:00<00:00, 180.05frame/s]

   🔄 2000L:  74%|███████▍  | 74/100 [00:00<00:00, 178.16frame/s]

   🔄 2000L:  92%|█████████▏| 92/100 [00:00<00:00, 177.75frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.03s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.01s/rig]
[✅] Saved PTDs: /working/MDC034_W023(6)_2026-10-06/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

📤 Writing LUT:   0%|          | 0/3080448 [00:00<?, ?px/s]
📤 Writing LUT:   3%|▎         | 78705/3080448 [00:00<00:03, 787041.37px/s]
📤 Writing LUT:   5%|▌         | 163761/3080448 [00:00<00:03, 824400.94px/s]
📤 Writing LUT:   8%|▊         | 249189/3080448 [00:00<00:03, 838043.73px/s]
📤 Writing LUT:  11%|█         | 334569/3080448 [00:00<00:03, 844262.83px/s]
📤 Writing LUT:  14%|█▎        | 421015/3080448 [00:00<00:03, 851540.49px/s]
📤 Writing LUT:  16%|█▋        | 507706/3080448 [00:00<00:03, 856759.43px/s]
📤 Writing LUT:  19%|█▉        | 594296/3080448 [00:00<00:02, 859747.27px/s]
📤 Writing LUT:  22%|██▏       | 680839/3080448 [00:00<00:02, 861555.98px/s]
📤 Writing LUT:  25%|██▍       | 767648/3080448 [00:00<00:02, 863596.28px/s]
📤 Writing LUT:  28%|██▊       | 854818/3080448 [00:01<00:02, 866095.76px/s]
📤 Writing LUT:  31%|███       | 942253/3080448 [00:01<00:02, 868620.96px/s]
📤 Writing LUT:  33%|███▎      | 1029545/3080448 [00:01<00:02, 869926.49px/s]
📤 Writing LUT:  36%|███▋      | 1117335/3080448 [00:01<00:02, 872340.93px/s]
📤 Writing LUT:  39%|███▉      | 1204974/3080448 [00:01<00:02, 873563.56px/s]
📤 Writing LUT:  42%|████▏     | 1292965/3080448 [00:01<00:02, 875473.67px/s]
📤 Writing LUT:  45%|████▍     | 1380605/3080448 [00:01<00:01, 875750.86px/s]
📤 Writing LUT:  48%|████▊     | 1468340/3080448 [00:01<00:01, 876229.46px/s]
📤 Writing LUT:  51%|█████     | 1555963/3080448 [00:01<00:01, 876168.36px/s]
📤 Writing LUT:  53%|█████▎    | 1644117/3080448 [00:01<00:01, 877779.97px/s]
📤 Writing LUT:  56%|█████▌    | 1732092/3080448 [00:02<00:01, 878368.54px/s]
📤 Writing LUT:  59%|█████▉    | 1819929/3080448 [00:02<00:01, 878011.08px/s]
📤 Writing LUT:  62%|██████▏   | 1907731/3080448 [00:02<00:01, 877933.62px/s]
📤 Writing LUT:  65%|██████▍   | 1995788/3080448 [00:02<00:01, 878722.27px/s]
📤 Writing LUT:  68%|██████▊   | 2084299/3080448 [00:02<00:01, 880636.31px/s]
📤 Writing LUT:  71%|███████   | 2172961/3080448 [00:02<00:01, 882429.14px/s]
📤 Writing LUT:  73%|███████▎  | 2261380/3080448 [00:02<00:00, 882955.75px/s]
📤 Writing LUT:  76%|███████▋  | 2350897/3080448 [00:02<00:00, 886618.36px/s]
📤 Writing LUT:  79%|███████▉  | 2441054/3080448 [00:02<00:00, 891102.17px/s]
📤 Writing LUT:  82%|████████▏ | 2531180/3080448 [00:02<00:00, 894113.95px/s]
📤 Writing LUT:  85%|████████▌ | 2622285/3080448 [00:03<00:00, 899192.93px/s]
📤 Writing LUT:  88%|████████▊ | 2714432/3080448 [00:03<00:00, 905873.57px/s]
📤 Writing LUT:  91%|█████████ | 2805020/3080448 [00:03<00:00, 905416.61px/s]
📤 Writing LUT:  94%|█████████▍| 2895859/3080448 [00:03<00:00, 906305.32px/s]
📤 Writing LUT:  97%|█████████▋| 2987281/3080448 [00:03<00:00, 908677.42px/s]
📤 Writing LUT: 100%|█████████▉| 3079215/3080448 [00:03<00:00, 911873.26px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 879659.11px/s]
[✅] LUT written to: /working/MDC034_W023(6)_2026-10-06/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC034_W023(6)_2026-10-06' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC034_W023(6)_2026-10-06/calibration/MDC034_W023(6)_2026-10-06_unknown.lut

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

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

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

   🔥 2000R:   0%|          | 0/323 [00:00<?, ?frame/s]

   🔥 2000R:   2%|▏         | 8/323 [00:00<00:04, 71.41frame/s]

   🔥 2000R:   5%|▌         | 17/323 [00:00<00:03, 80.02frame/s]

   🔥 2000R:   8%|▊         | 26/323 [00:00<00:03, 80.01frame/s]

   🔥 2000R:  11%|█         | 35/323 [00:00<00:03, 80.12frame/s]

   🔥 2000R:  14%|█▎        | 44/323 [00:00<00:03, 81.67frame/s]

   🔥 2000R:  16%|█▋        | 53/323 [00:00<00:03, 83.84frame/s]

   🔥 2000R:  19%|█▉        | 62/323 [00:00<00:03, 84.99frame/s]

   🔥 2000R:  22%|██▏       | 72/323 [00:00<00:02, 87.53frame/s]

   🔥 2000R:  26%|██▌       | 83/323 [00:00<00:02, 92.30frame/s]

   🔥 2000R:  29%|██▉       | 94/323 [00:01<00:02, 95.41frame/s]

   🔥 2000R:  32%|███▏      | 104/323 [00:01<00:02, 96.13frame/s]

   🔥 2000R:  35%|███▌      | 114/323 [00:01<00:02, 95.77frame/s]

   🔥 2000R:  38%|███▊      | 124/323 [00:01<00:02, 95.98frame/s]

   🔥 2000R:  41%|████▏     | 134/323 [00:01<00:01, 95.96frame/s]

   🔥 2000R:  45%|████▍     | 144/323 [00:01<00:01, 95.64frame/s]

   🔥 2000R:  48%|████▊     | 154/323 [00:01<00:01, 94.45frame/s]

   🔥 2000R:  51%|█████     | 164/323 [00:01<00:01, 92.49frame/s]

   🔥 2000R:  54%|█████▍    | 174/323 [00:01<00:01, 90.87frame/s]

   🔥 2000R:  57%|█████▋    | 185/323 [00:02<00:01, 95.82frame/s]

   🔥 2000R:  62%|██████▏   | 199/323 [00:02<00:01, 107.21frame/s]

   🔥 2000R:  66%|██████▋   | 214/323 [00:02<00:00, 119.36frame/s]

   🔥 2000R:  70%|███████   | 227/323 [00:02<00:00, 117.71frame/s]

   🔥 2000R:  74%|███████▍  | 239/323 [00:02<00:00, 113.06frame/s]

   🔥 2000R:  78%|███████▊  | 251/323 [00:02<00:00, 107.21frame/s]

   🔥 2000R:  81%|████████  | 262/323 [00:02<00:00, 99.95frame/s] 

   🔥 2000R:  85%|████████▍ | 273/323 [00:02<00:00, 93.97frame/s]

   🔥 2000R:  88%|████████▊ | 283/323 [00:02<00:00, 89.50frame/s]

   🔥 2000R:  91%|█████████ | 293/323 [00:03<00:00, 85.89frame/s]

   🔥 2000R:  93%|█████████▎| 302/323 [00:03<00:00, 83.49frame/s]

   🔥 2000R:  96%|█████████▋| 311/323 [00:03<00:00, 81.55frame/s]

   🔥 2000R:  99%|█████████▉| 320/323 [00:03<00:00, 78.96frame/s]

                                                                 [✅] 2000R: /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:05<00:15,  5.14s/rig]

   🔥 1500:   0%|          | 0/558 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 9/558 [00:00<00:06, 83.22frame/s]

   🔥 1500:   3%|▎         | 18/558 [00:00<00:06, 82.77frame/s]

   🔥 1500:   5%|▌         | 28/558 [00:00<00:06, 86.75frame/s]

   🔥 1500:   7%|▋         | 38/558 [00:00<00:05, 88.34frame/s]

   🔥 1500:   9%|▊         | 48/558 [00:00<00:05, 88.84frame/s]

   🔥 1500:  10%|█         | 57/558 [00:00<00:05, 87.64frame/s]

   🔥 1500:  12%|█▏        | 66/558 [00:00<00:05, 85.63frame/s]

   🔥 1500:  13%|█▎        | 75/558 [00:00<00:05, 83.49frame/s]

   🔥 1500:  15%|█▌        | 84/558 [00:00<00:05, 81.78frame/s]

   🔥 1500:  17%|█▋        | 93/558 [00:01<00:05, 78.96frame/s]

   🔥 1500:  18%|█▊        | 101/558 [00:01<00:05, 78.23frame/s]

   🔥 1500:  20%|█▉        | 109/558 [00:01<00:05, 77.71frame/s]

   🔥 1500:  21%|██        | 117/558 [00:01<00:05, 77.43frame/s]

   🔥 1500:  22%|██▏       | 125/558 [00:01<00:05, 76.92frame/s]

   🔥 1500:  24%|██▍       | 133/558 [00:01<00:05, 76.91frame/s]

   🔥 1500:  25%|██▌       | 141/558 [00:01<00:05, 75.15frame/s]

   🔥 1500:  27%|██▋       | 149/558 [00:01<00:05, 72.95frame/s]

   🔥 1500:  28%|██▊       | 157/558 [00:01<00:05, 71.32frame/s]

   🔥 1500:  30%|██▉       | 165/558 [00:02<00:05, 69.31frame/s]

   🔥 1500:  31%|███       | 172/558 [00:02<00:05, 68.09frame/s]

   🔥 1500:  32%|███▏      | 179/558 [00:02<00:05, 66.56frame/s]

   🔥 1500:  33%|███▎      | 186/558 [00:02<00:05, 66.02frame/s]

   🔥 1500:  35%|███▍      | 193/558 [00:02<00:05, 66.47frame/s]

   🔥 1500:  36%|███▌      | 200/558 [00:02<00:05, 66.41frame/s]

   🔥 1500:  37%|███▋      | 207/558 [00:02<00:05, 67.43frame/s]

   🔥 1500:  39%|███▊      | 215/558 [00:02<00:04, 70.71frame/s]

   🔥 1500:  40%|███▉      | 223/558 [00:02<00:04, 73.01frame/s]

   🔥 1500:  41%|████▏     | 231/558 [00:03<00:04, 74.98frame/s]

   🔥 1500:  43%|████▎     | 240/558 [00:03<00:04, 76.89frame/s]

   🔥 1500:  45%|████▍     | 249/558 [00:03<00:03, 78.22frame/s]

   🔥 1500:  46%|████▌     | 258/558 [00:03<00:03, 80.09frame/s]

   🔥 1500:  48%|████▊     | 267/558 [00:03<00:03, 82.59frame/s]

   🔥 1500:  49%|████▉     | 276/558 [00:03<00:03, 83.93frame/s]

   🔥 1500:  51%|█████     | 285/558 [00:03<00:03, 85.65frame/s]

   🔥 1500:  53%|█████▎    | 295/558 [00:03<00:02, 87.75frame/s]

   🔥 1500:  55%|█████▍    | 305/558 [00:03<00:02, 90.31frame/s]

   🔥 1500:  56%|█████▋    | 315/558 [00:04<00:02, 90.77frame/s]

   🔥 1500:  58%|█████▊    | 325/558 [00:04<00:02, 89.85frame/s]

   🔥 1500:  60%|█████▉    | 334/558 [00:04<00:02, 88.99frame/s]

   🔥 1500:  61%|██████▏   | 343/558 [00:04<00:02, 85.66frame/s]

   🔥 1500:  63%|██████▎   | 352/558 [00:04<00:02, 83.71frame/s]

   🔥 1500:  65%|██████▍   | 361/558 [00:04<00:02, 82.76frame/s]

   🔥 1500:  66%|██████▋   | 370/558 [00:04<00:02, 82.95frame/s]

   🔥 1500:  68%|██████▊   | 379/558 [00:04<00:02, 82.31frame/s]

   🔥 1500:  70%|██████▉   | 388/558 [00:04<00:02, 82.39frame/s]

   🔥 1500:  71%|███████   | 397/558 [00:04<00:01, 82.56frame/s]

   🔥 1500:  73%|███████▎  | 406/558 [00:05<00:01, 83.03frame/s]

   🔥 1500:  74%|███████▍  | 415/558 [00:05<00:01, 83.34frame/s]

   🔥 1500:  76%|███████▌  | 424/558 [00:05<00:01, 83.87frame/s]

   🔥 1500:  78%|███████▊  | 433/558 [00:05<00:01, 84.44frame/s]

   🔥 1500:  79%|███████▉  | 442/558 [00:05<00:01, 84.57frame/s]

   🔥 1500:  81%|████████  | 451/558 [00:05<00:01, 85.01frame/s]

   🔥 1500:  82%|████████▏ | 460/558 [00:05<00:01, 86.13frame/s]

   🔥 1500:  84%|████████▍ | 470/558 [00:05<00:01, 87.63frame/s]

   🔥 1500:  86%|████████▌ | 480/558 [00:05<00:00, 88.92frame/s]

   🔥 1500:  88%|████████▊ | 490/558 [00:06<00:00, 89.70frame/s]

   🔥 1500:  89%|████████▉ | 499/558 [00:06<00:00, 89.37frame/s]

   🔥 1500:  91%|█████████ | 508/558 [00:06<00:00, 87.82frame/s]

   🔥 1500:  93%|█████████▎| 517/558 [00:06<00:00, 87.21frame/s]

   🔥 1500:  94%|█████████▍| 527/558 [00:06<00:00, 88.42frame/s]

   🔥 1500:  96%|█████████▌| 537/558 [00:06<00:00, 89.29frame/s]

   🔥 1500:  98%|█████████▊| 547/558 [00:06<00:00, 89.54frame/s]

   🔥 1500: 100%|█████████▉| 556/558 [00:06<00:00, 89.66frame/s]

                                                                [✅] 1500: /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:13<00:13,  6.97s/rig]

   🔥 1000:   0%|          | 0/445 [00:00<?, ?frame/s]

   🔥 1000:   2%|▏         | 9/445 [00:00<00:04, 87.31frame/s]

   🔥 1000:   4%|▍         | 19/445 [00:00<00:04, 92.62frame/s]

   🔥 1000:   7%|▋         | 29/445 [00:00<00:04, 91.86frame/s]

   🔥 1000:   9%|▉         | 39/445 [00:00<00:04, 92.42frame/s]

   🔥 1000:  11%|█         | 49/445 [00:00<00:04, 92.31frame/s]

   🔥 1000:  13%|█▎        | 59/445 [00:00<00:04, 92.32frame/s]

   🔥 1000:  16%|█▌        | 69/445 [00:00<00:04, 91.89frame/s]

   🔥 1000:  18%|█▊        | 79/445 [00:00<00:03, 91.62frame/s]

   🔥 1000:  20%|██        | 89/445 [00:00<00:03, 91.82frame/s]

   🔥 1000:  22%|██▏       | 99/445 [00:01<00:03, 90.94frame/s]

   🔥 1000:  24%|██▍       | 109/445 [00:01<00:03, 90.49frame/s]

   🔥 1000:  27%|██▋       | 119/445 [00:01<00:03, 90.37frame/s]

   🔥 1000:  29%|██▉       | 129/445 [00:01<00:03, 90.82frame/s]

   🔥 1000:  31%|███       | 139/445 [00:01<00:03, 91.46frame/s]

   🔥 1000:  33%|███▎      | 149/445 [00:01<00:03, 92.25frame/s]

   🔥 1000:  36%|███▌      | 159/445 [00:01<00:03, 92.44frame/s]

   🔥 1000:  38%|███▊      | 169/445 [00:01<00:02, 92.64frame/s]

   🔥 1000:  40%|████      | 179/445 [00:01<00:02, 93.34frame/s]

   🔥 1000:  42%|████▏     | 189/445 [00:02<00:02, 94.40frame/s]

   🔥 1000:  45%|████▍     | 199/445 [00:02<00:02, 94.71frame/s]

   🔥 1000:  47%|████▋     | 209/445 [00:02<00:02, 95.54frame/s]

   🔥 1000:  49%|████▉     | 219/445 [00:02<00:02, 95.59frame/s]

   🔥 1000:  51%|█████▏    | 229/445 [00:02<00:02, 95.77frame/s]

   🔥 1000:  54%|█████▎    | 239/445 [00:02<00:02, 95.76frame/s]

   🔥 1000:  56%|█████▌    | 249/445 [00:02<00:02, 95.06frame/s]

   🔥 1000:  58%|█████▊    | 259/445 [00:02<00:01, 95.41frame/s]

   🔥 1000:  60%|██████    | 269/445 [00:02<00:01, 94.28frame/s]

   🔥 1000:  63%|██████▎   | 279/445 [00:03<00:01, 92.93frame/s]

   🔥 1000:  65%|██████▍   | 289/445 [00:03<00:01, 90.56frame/s]

   🔥 1000:  67%|██████▋   | 299/445 [00:03<00:01, 86.98frame/s]

   🔥 1000:  69%|██████▉   | 308/445 [00:03<00:01, 85.36frame/s]

   🔥 1000:  71%|███████   | 317/445 [00:03<00:01, 84.81frame/s]

   🔥 1000:  73%|███████▎  | 326/445 [00:03<00:01, 84.38frame/s]

   🔥 1000:  75%|███████▌  | 335/445 [00:03<00:01, 84.10frame/s]

   🔥 1000:  77%|███████▋  | 344/445 [00:03<00:01, 84.21frame/s]

   🔥 1000:  79%|███████▉  | 353/445 [00:03<00:01, 85.03frame/s]

   🔥 1000:  81%|████████▏ | 362/445 [00:03<00:00, 85.66frame/s]

   🔥 1000:  83%|████████▎ | 371/445 [00:04<00:00, 86.10frame/s]

   🔥 1000:  85%|████████▌ | 380/445 [00:04<00:00, 86.98frame/s]

   🔥 1000:  88%|████████▊ | 390/445 [00:04<00:00, 89.29frame/s]

   🔥 1000:  90%|████████▉ | 400/445 [00:04<00:00, 91.31frame/s]

   🔥 1000:  92%|█████████▏| 410/445 [00:04<00:00, 92.74frame/s]

   🔥 1000:  94%|█████████▍| 420/445 [00:04<00:00, 93.14frame/s]

   🔥 1000:  97%|█████████▋| 430/445 [00:04<00:00, 92.63frame/s]

   🔥 1000:  99%|█████████▉| 440/445 [00:04<00:00, 91.47frame/s]

                                                                [✅] 1000: /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:19<00:06,  6.37s/rig]

   🔥 2000L:   0%|          | 0/293 [00:00<?, ?frame/s]

   🔥 2000L:   3%|▎         | 8/293 [00:00<00:03, 76.28frame/s]

   🔥 2000L:   5%|▌         | 16/293 [00:00<00:03, 78.05frame/s]

   🔥 2000L:   9%|▊         | 25/293 [00:00<00:03, 81.23frame/s]

   🔥 2000L:  12%|█▏        | 34/293 [00:00<00:03, 80.26frame/s]

   🔥 2000L:  15%|█▍        | 43/293 [00:00<00:03, 79.84frame/s]

   🔥 2000L:  18%|█▊        | 52/293 [00:00<00:02, 82.20frame/s]

   🔥 2000L:  21%|██        | 61/293 [00:00<00:02, 83.74frame/s]

   🔥 2000L:  24%|██▍       | 70/293 [00:00<00:02, 84.77frame/s]

   🔥 2000L:  27%|██▋       | 80/293 [00:00<00:02, 87.02frame/s]

   🔥 2000L:  31%|███       | 91/293 [00:01<00:02, 91.50frame/s]

   🔥 2000L:  35%|███▍      | 102/293 [00:01<00:02, 94.55frame/s]

   🔥 2000L:  39%|███▊      | 113/293 [00:01<00:01, 96.60frame/s]

   🔥 2000L:  42%|████▏     | 123/293 [00:01<00:01, 95.93frame/s]

   🔥 2000L:  45%|████▌     | 133/293 [00:01<00:01, 94.76frame/s]

   🔥 2000L:  49%|████▉     | 143/293 [00:01<00:01, 93.47frame/s]

   🔥 2000L:  52%|█████▏    | 153/293 [00:01<00:01, 92.43frame/s]

   🔥 2000L:  56%|█████▌    | 163/293 [00:01<00:01, 92.46frame/s]

   🔥 2000L:  59%|█████▉    | 173/293 [00:01<00:01, 93.59frame/s]

   🔥 2000L:  62%|██████▏   | 183/293 [00:02<00:01, 94.71frame/s]

   🔥 2000L:  66%|██████▌   | 193/293 [00:02<00:01, 95.28frame/s]

   🔥 2000L:  69%|██████▉   | 203/293 [00:02<00:00, 96.30frame/s]

   🔥 2000L:  73%|███████▎  | 214/293 [00:02<00:00, 98.31frame/s]

   🔥 2000L:  77%|███████▋  | 225/293 [00:02<00:00, 99.93frame/s]

   🔥 2000L:  80%|████████  | 235/293 [00:02<00:00, 98.70frame/s]

   🔥 2000L:  84%|████████▎ | 245/293 [00:02<00:00, 94.43frame/s]

   🔥 2000L:  87%|████████▋ | 255/293 [00:02<00:00, 90.92frame/s]

   🔥 2000L:  90%|█████████ | 265/293 [00:02<00:00, 87.99frame/s]

   🔥 2000L:  94%|█████████▎| 274/293 [00:03<00:00, 85.86frame/s]

   🔥 2000L:  97%|█████████▋| 283/293 [00:03<00:00, 82.98frame/s]

   🔥 2000L: 100%|█████████▉| 292/293 [00:03<00:00, 80.83frame/s]

                                                                 [✅] 2000L: /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:23<00:00,  5.78s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:23<00:00,  5.98s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC034_W023(6)_2026-10-06/calibration/debug/5_heatmap
[🏁] Finished processing MDC034_W023(6)_2026-10-06


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