2026-10-15T04:35:18 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC048_W021(6)_2026-10-13 ===
2026-10-15T04:35:18 - INFO: Camera ID: 6396149
2026-10-15T04:35:18 - INFO: Wand ID: 
2026-10-15T04:35:18 - INFO: Recorded At: 2026-10-13T14:20:18Z

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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 613 stationary frames, 541 remain


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                                                                            [PASS2] Frame 0000596: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000597: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000598: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000599: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000600: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000601: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000602: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000603: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000604: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000605: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000700: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000701: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000705: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000707: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000709: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000710: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000711: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000712: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000597: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000598: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000599: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000600: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000601: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000604: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000605: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000701: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000707: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000711: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000712: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000598: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000599: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000601: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000605: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000701: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000707: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000712: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Summary: 5 frames fixed, 16 untrusted, 541 total


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→ 2000R Phase 3: finalize:  78%|███████▊  | 420/541 [00:08<00:02, 50.17it/s]

→ 2000R Phase 3: finalize:  79%|███████▊  | 426/541 [00:08<00:02, 50.05it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 432/541 [00:08<00:02, 50.16it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 438/541 [00:08<00:02, 50.29it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 444/541 [00:08<00:01, 50.42it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 450/541 [00:08<00:01, 50.44it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 456/541 [00:08<00:01, 50.38it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 462/541 [00:08<00:01, 50.32it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 468/541 [00:08<00:01, 50.11it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 474/541 [00:09<00:01, 50.20it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 480/541 [00:09<00:01, 50.15it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 486/541 [00:09<00:01, 50.13it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 492/541 [00:09<00:00, 50.32it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 498/541 [00:09<00:00, 50.33it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 504/541 [00:09<00:00, 50.40it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 510/541 [00:09<00:00, 50.40it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 516/541 [00:09<00:00, 50.45it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 522/541 [00:10<00:00, 50.71it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 528/541 [00:10<00:00, 50.26it/s]

→ 2000R Phase 3: finalize:  99%|█████████▊| 534/541 [00:10<00:00, 50.11it/s]

→ 2000R Phase 3: finalize: 100%|█████████▉| 540/541 [00:10<00:00, 50.21it/s]

                                                                            
[TIMING] 2000R — 541 frames
  Phase 1  radial detect   (parallel)  :   8.95s  (16.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.07s  (7.5 ms/frame)
  Phase 2b corner fix      (sequential):   0.75s
  Phase 3  finalize        (sequential):  10.45s  (19.3 ms/frame)
    decode + undistort                 :   5.52s  (10.2 ms/frame)
    corner apply + refinement          :   2.30s  (4.2 ms/frame)
    segment                            :   2.15s  (4.0 ms/frame)
    smooth                             :   0.30s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  24.23s


Processing Rigs:  25%|██▌       | 1/4 [00:29<01:29, 29.69s/it][INFO] Filtered 720 stationary frames, 551 remain


→ 2000L (551 images) Phase 1:   0%|          | 0/551 [00:00<?, ?it/s]

→ 2000L (551 images) Phase 1:   0%|          | 1/551 [00:00<08:47,  1.04it/s]

→ 2000L (551 images) Phase 1:   2%|▏         | 13/551 [00:01<00:32, 16.41it/s]

→ 2000L (551 images) Phase 1:   4%|▎         | 20/551 [00:01<00:21, 24.57it/s]

→ 2000L (551 images) Phase 1:   5%|▍         | 27/551 [00:01<00:18, 28.14it/s]

→ 2000L (551 images) Phase 1:   6%|▌         | 33/551 [00:01<00:15, 32.40it/s]

→ 2000L (551 images) Phase 1:   8%|▊         | 42/551 [00:01<00:12, 40.19it/s]

→ 2000L (551 images) Phase 1:   9%|▉         | 52/551 [00:01<00:09, 52.09it/s]

→ 2000L (551 images) Phase 1:  11%|█         | 59/551 [00:01<00:10, 47.62it/s]

→ 2000L (551 images) Phase 1:  12%|█▏        | 66/551 [00:02<00:09, 50.88it/s]

→ 2000L (551 images) Phase 1:  14%|█▎        | 75/551 [00:02<00:07, 59.82it/s]

→ 2000L (551 images) Phase 1:  15%|█▍        | 82/551 [00:02<00:09, 49.45it/s]

→ 2000L (551 images) Phase 1:  17%|█▋        | 91/551 [00:02<00:08, 56.59it/s]

→ 2000L (551 images) Phase 1:  18%|█▊        | 98/551 [00:02<00:07, 58.91it/s]

→ 2000L (551 images) Phase 1:  19%|█▉        | 105/551 [00:02<00:07, 55.94it/s]

→ 2000L (551 images) Phase 1:  20%|██        | 112/551 [00:02<00:09, 48.69it/s]

→ 2000L (551 images) Phase 1:  22%|██▏       | 122/551 [00:03<00:07, 58.14it/s]

→ 2000L (551 images) Phase 1:  24%|██▎       | 130/551 [00:03<00:07, 57.35it/s]

→ 2000L (551 images) Phase 1:  25%|██▌       | 138/551 [00:03<00:07, 58.76it/s]

→ 2000L (551 images) Phase 1:  26%|██▋       | 145/551 [00:03<00:07, 55.52it/s]

→ 2000L (551 images) Phase 1:  27%|██▋       | 151/551 [00:03<00:07, 53.28it/s]

→ 2000L (551 images) Phase 1:  30%|██▉       | 163/551 [00:03<00:05, 66.67it/s]

→ 2000L (551 images) Phase 1:  31%|███       | 170/551 [00:03<00:07, 53.08it/s]

→ 2000L (551 images) Phase 1:  32%|███▏      | 177/551 [00:03<00:07, 53.41it/s]

→ 2000L (551 images) Phase 1:  34%|███▎      | 185/551 [00:04<00:06, 53.32it/s]

→ 2000L (551 images) Phase 1:  35%|███▍      | 191/551 [00:04<00:06, 52.19it/s]

→ 2000L (551 images) Phase 1:  36%|███▋      | 201/551 [00:04<00:05, 59.53it/s]

→ 2000L (551 images) Phase 1:  38%|███▊      | 211/551 [00:04<00:05, 67.97it/s]

→ 2000L (551 images) Phase 1:  40%|███▉      | 219/551 [00:04<00:05, 60.24it/s]

→ 2000L (551 images) Phase 1:  41%|████      | 226/551 [00:04<00:05, 55.27it/s]

→ 2000L (551 images) Phase 1:  42%|████▏     | 233/551 [00:04<00:05, 56.64it/s]

→ 2000L (551 images) Phase 1:  44%|████▎     | 241/551 [00:05<00:05, 60.55it/s]

→ 2000L (551 images) Phase 1:  45%|████▌     | 248/551 [00:05<00:04, 61.43it/s]

→ 2000L (551 images) Phase 1:  46%|████▋     | 255/551 [00:05<00:05, 52.53it/s]

→ 2000L (551 images) Phase 1:  48%|████▊     | 266/551 [00:05<00:04, 64.79it/s]

→ 2000L (551 images) Phase 1:  50%|████▉     | 273/551 [00:05<00:04, 57.54it/s]

→ 2000L (551 images) Phase 1:  51%|█████     | 280/551 [00:05<00:04, 58.41it/s]

→ 2000L (551 images) Phase 1:  52%|█████▏    | 287/551 [00:05<00:04, 54.38it/s]

→ 2000L (551 images) Phase 1:  53%|█████▎    | 293/551 [00:05<00:04, 54.44it/s]

→ 2000L (551 images) Phase 1:  54%|█████▍    | 299/551 [00:06<00:04, 54.78it/s]

→ 2000L (551 images) Phase 1:  55%|█████▌    | 305/551 [00:06<00:04, 52.80it/s]

→ 2000L (551 images) Phase 1:  57%|█████▋    | 315/551 [00:06<00:03, 61.90it/s]

→ 2000L (551 images) Phase 1:  58%|█████▊    | 322/551 [00:06<00:04, 49.55it/s]

→ 2000L (551 images) Phase 1:  60%|█████▉    | 328/551 [00:06<00:04, 51.25it/s]

→ 2000L (551 images) Phase 1:  61%|██████    | 335/551 [00:06<00:03, 55.49it/s]

→ 2000L (551 images) Phase 1:  62%|██████▏   | 344/551 [00:06<00:03, 63.83it/s]

→ 2000L (551 images) Phase 1:  64%|██████▎   | 351/551 [00:07<00:04, 48.25it/s]

→ 2000L (551 images) Phase 1:  65%|██████▍   | 357/551 [00:07<00:04, 43.91it/s]

→ 2000L (551 images) Phase 1:  67%|██████▋   | 369/551 [00:07<00:03, 59.76it/s]

→ 2000L (551 images) Phase 1:  68%|██████▊   | 377/551 [00:07<00:03, 52.49it/s]

→ 2000L (551 images) Phase 1:  70%|██████▉   | 384/551 [00:07<00:02, 56.09it/s]

→ 2000L (551 images) Phase 1:  71%|███████   | 391/551 [00:07<00:02, 53.48it/s]

→ 2000L (551 images) Phase 1:  72%|███████▏  | 399/551 [00:07<00:02, 59.59it/s]

→ 2000L (551 images) Phase 1:  74%|███████▍  | 408/551 [00:08<00:02, 66.75it/s]

→ 2000L (551 images) Phase 1:  75%|███████▌  | 416/551 [00:08<00:02, 50.78it/s]

→ 2000L (551 images) Phase 1:  77%|███████▋  | 424/551 [00:08<00:02, 56.80it/s]

→ 2000L (551 images) Phase 1:  78%|███████▊  | 432/551 [00:08<00:01, 61.56it/s]

→ 2000L (551 images) Phase 1:  80%|███████▉  | 440/551 [00:08<00:01, 62.11it/s]

→ 2000L (551 images) Phase 1:  81%|████████  | 447/551 [00:08<00:01, 54.46it/s]

→ 2000L (551 images) Phase 1:  82%|████████▏ | 454/551 [00:08<00:01, 57.88it/s]

→ 2000L (551 images) Phase 1:  84%|████████▎ | 461/551 [00:08<00:01, 57.92it/s]

→ 2000L (551 images) Phase 1:  85%|████████▌ | 471/551 [00:09<00:01, 64.45it/s]

→ 2000L (551 images) Phase 1:  87%|████████▋ | 478/551 [00:09<00:01, 64.81it/s]

→ 2000L (551 images) Phase 1:  88%|████████▊ | 485/551 [00:09<00:01, 51.37it/s]

→ 2000L (551 images) Phase 1:  90%|████████▉ | 494/551 [00:09<00:00, 59.12it/s]

→ 2000L (551 images) Phase 1:  91%|█████████ | 501/551 [00:09<00:00, 61.37it/s]

→ 2000L (551 images) Phase 1:  92%|█████████▏| 508/551 [00:09<00:00, 59.75it/s]

→ 2000L (551 images) Phase 1:  93%|█████████▎| 515/551 [00:09<00:00, 50.99it/s]

→ 2000L (551 images) Phase 1:  95%|█████████▌| 525/551 [00:10<00:00, 62.21it/s]

→ 2000L (551 images) Phase 1:  97%|█████████▋| 534/551 [00:10<00:00, 68.86it/s]

→ 2000L (551 images) Phase 1:  98%|█████████▊| 542/551 [00:10<00:00, 66.01it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/551 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   0%|          | 1/551 [00:00<05:14,  1.75it/s]

→ 2000L Phase 2: corners:   2%|▏         | 9/551 [00:00<00:33, 16.42it/s]

→ 2000L Phase 2: corners:   5%|▍         | 26/551 [00:00<00:10, 48.69it/s]

→ 2000L Phase 2: corners:   7%|▋         | 36/551 [00:00<00:08, 58.49it/s]

→ 2000L Phase 2: corners:   9%|▊         | 48/551 [00:01<00:06, 72.78it/s]

→ 2000L Phase 2: corners:  11%|█▏        | 62/551 [00:01<00:05, 86.08it/s]

→ 2000L Phase 2: corners:  14%|█▍        | 76/551 [00:01<00:04, 99.07it/s]

→ 2000L Phase 2: corners:  17%|█▋        | 91/551 [00:01<00:04, 112.25it/s]

→ 2000L Phase 2: corners:  19%|█▉        | 105/551 [00:01<00:03, 115.45it/s]

→ 2000L Phase 2: corners:  21%|██▏       | 118/551 [00:01<00:03, 114.82it/s]

→ 2000L Phase 2: corners:  25%|██▍       | 137/551 [00:01<00:03, 133.94it/s]

→ 2000L Phase 2: corners:  28%|██▊       | 152/551 [00:01<00:03, 131.29it/s]

→ 2000L Phase 2: corners:  30%|███       | 166/551 [00:01<00:02, 129.72it/s]

→ 2000L Phase 2: corners:  33%|███▎      | 180/551 [00:02<00:02, 130.15it/s]

→ 2000L Phase 2: corners:  36%|███▌      | 196/551 [00:02<00:02, 136.54it/s]

→ 2000L Phase 2: corners:  38%|███▊      | 210/551 [00:02<00:02, 132.57it/s]

→ 2000L Phase 2: corners:  41%|████      | 227/551 [00:02<00:02, 142.51it/s]

→ 2000L Phase 2: corners:  44%|████▍     | 244/551 [00:02<00:02, 142.21it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 260/551 [00:02<00:01, 145.97it/s]

→ 2000L Phase 2: corners:  50%|█████     | 277/551 [00:02<00:01, 150.63it/s]

→ 2000L Phase 2: corners:  53%|█████▎    | 293/551 [00:02<00:02, 118.77it/s]

→ 2000L Phase 2: corners:  56%|█████▋    | 310/551 [00:02<00:01, 128.45it/s]

→ 2000L Phase 2: corners:  59%|█████▉    | 327/551 [00:03<00:01, 137.66it/s]

→ 2000L Phase 2: corners:  62%|██████▏   | 342/551 [00:03<00:01, 136.63it/s]

→ 2000L Phase 2: corners:  65%|██████▍   | 357/551 [00:03<00:01, 135.45it/s]

→ 2000L Phase 2: corners:  68%|██████▊   | 372/551 [00:03<00:01, 139.32it/s]

→ 2000L Phase 2: corners:  70%|███████   | 387/551 [00:03<00:01, 139.92it/s]

→ 2000L Phase 2: corners:  73%|███████▎  | 404/551 [00:03<00:01, 146.50it/s]

→ 2000L Phase 2: corners:  77%|███████▋  | 423/551 [00:03<00:00, 156.21it/s]

→ 2000L Phase 2: corners:  80%|███████▉  | 439/551 [00:03<00:00, 147.14it/s]

→ 2000L Phase 2: corners:  82%|████████▏ | 454/551 [00:03<00:00, 141.63it/s]

→ 2000L Phase 2: corners:  85%|████████▌ | 469/551 [00:04<00:00, 130.67it/s]

→ 2000L Phase 2: corners:  88%|████████▊ | 483/551 [00:04<00:00, 132.37it/s]

→ 2000L Phase 2: corners:  91%|█████████ | 502/551 [00:04<00:00, 147.70it/s]

→ 2000L Phase 2: corners:  94%|█████████▍| 518/551 [00:04<00:00, 140.73it/s]

→ 2000L Phase 2: corners:  97%|█████████▋| 533/551 [00:04<00:00, 136.67it/s]

                                                                            [PASS2] Frame 0001290: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001291: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001292: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001293: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001292: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 3 untrusted, 551 total


→ 2000L Phase 3: finalize:   0%|          | 0/551 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   1%|▏         | 7/551 [00:00<00:09, 60.38it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 14/551 [00:00<00:09, 57.36it/s]

→ 2000L Phase 3: finalize:   4%|▎         | 20/551 [00:00<00:09, 56.51it/s]

→ 2000L Phase 3: finalize:   5%|▍         | 26/551 [00:00<00:09, 55.93it/s]

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→ 2000L Phase 3: finalize:   7%|▋         | 38/551 [00:00<00:09, 55.59it/s]

→ 2000L Phase 3: finalize:   8%|▊         | 44/551 [00:00<00:09, 55.52it/s]

→ 2000L Phase 3: finalize:   9%|▉         | 50/551 [00:00<00:09, 55.28it/s]

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→ 2000L Phase 3: finalize:  11%|█▏        | 62/551 [00:01<00:08, 55.08it/s]

→ 2000L Phase 3: finalize:  12%|█▏        | 68/551 [00:01<00:08, 54.88it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 74/551 [00:01<00:08, 54.54it/s]

→ 2000L Phase 3: finalize:  15%|█▍        | 80/551 [00:01<00:08, 54.24it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 86/551 [00:01<00:08, 54.47it/s]

→ 2000L Phase 3: finalize:  17%|█▋        | 92/551 [00:01<00:08, 54.54it/s]

→ 2000L Phase 3: finalize:  18%|█▊        | 98/551 [00:01<00:08, 53.12it/s]

→ 2000L Phase 3: finalize:  19%|█▉        | 104/551 [00:01<00:08, 51.98it/s]

→ 2000L Phase 3: finalize:  20%|█▉        | 110/551 [00:02<00:08, 51.18it/s]

→ 2000L Phase 3: finalize:  21%|██        | 116/551 [00:02<00:08, 50.67it/s]

→ 2000L Phase 3: finalize:  22%|██▏       | 122/551 [00:02<00:08, 50.30it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 128/551 [00:02<00:08, 50.08it/s]

→ 2000L Phase 3: finalize:  24%|██▍       | 134/551 [00:02<00:08, 50.03it/s]

→ 2000L Phase 3: finalize:  25%|██▌       | 140/551 [00:02<00:08, 49.89it/s]

→ 2000L Phase 3: finalize:  26%|██▋       | 145/551 [00:02<00:08, 49.79it/s]

→ 2000L Phase 3: finalize:  27%|██▋       | 150/551 [00:02<00:08, 49.70it/s]

→ 2000L Phase 3: finalize:  28%|██▊       | 155/551 [00:02<00:07, 49.72it/s]

→ 2000L Phase 3: finalize:  29%|██▉       | 160/551 [00:03<00:07, 49.75it/s]

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→ 2000L Phase 3: finalize:  31%|███       | 170/551 [00:03<00:07, 49.74it/s]

→ 2000L Phase 3: finalize:  32%|███▏      | 175/551 [00:03<00:07, 49.75it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 180/551 [00:03<00:07, 49.77it/s]

→ 2000L Phase 3: finalize:  34%|███▎      | 185/551 [00:03<00:07, 49.74it/s]

→ 2000L Phase 3: finalize:  34%|███▍      | 190/551 [00:03<00:07, 49.72it/s]

→ 2000L Phase 3: finalize:  35%|███▌      | 195/551 [00:03<00:07, 49.64it/s]

→ 2000L Phase 3: finalize:  36%|███▋      | 200/551 [00:03<00:07, 49.56it/s]

→ 2000L Phase 3: finalize:  37%|███▋      | 205/551 [00:03<00:06, 49.58it/s]

→ 2000L Phase 3: finalize:  38%|███▊      | 210/551 [00:04<00:06, 49.54it/s]

→ 2000L Phase 3: finalize:  39%|███▉      | 215/551 [00:04<00:06, 49.62it/s]

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→ 2000L Phase 3: finalize:  41%|████      | 227/551 [00:04<00:06, 50.07it/s]

→ 2000L Phase 3: finalize:  42%|████▏     | 233/551 [00:04<00:06, 50.19it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 239/551 [00:04<00:06, 50.16it/s]

→ 2000L Phase 3: finalize:  44%|████▍     | 245/551 [00:04<00:06, 50.14it/s]

→ 2000L Phase 3: finalize:  46%|████▌     | 251/551 [00:04<00:05, 50.25it/s]

→ 2000L Phase 3: finalize:  47%|████▋     | 257/551 [00:04<00:05, 50.40it/s]

→ 2000L Phase 3: finalize:  48%|████▊     | 263/551 [00:05<00:05, 50.54it/s]

→ 2000L Phase 3: finalize:  49%|████▉     | 269/551 [00:05<00:05, 50.71it/s]

→ 2000L Phase 3: finalize:  50%|████▉     | 275/551 [00:05<00:05, 50.94it/s]

→ 2000L Phase 3: finalize:  51%|█████     | 281/551 [00:05<00:05, 51.05it/s]

→ 2000L Phase 3: finalize:  52%|█████▏    | 287/551 [00:05<00:05, 50.76it/s]

→ 2000L Phase 3: finalize:  53%|█████▎    | 293/551 [00:05<00:05, 51.02it/s]

→ 2000L Phase 3: finalize:  54%|█████▍    | 299/551 [00:05<00:04, 51.31it/s]

→ 2000L Phase 3: finalize:  55%|█████▌    | 305/551 [00:05<00:04, 51.42it/s]

→ 2000L Phase 3: finalize:  56%|█████▋    | 311/551 [00:06<00:04, 51.70it/s]

→ 2000L Phase 3: finalize:  58%|█████▊    | 317/551 [00:06<00:04, 51.99it/s]

→ 2000L Phase 3: finalize:  59%|█████▊    | 323/551 [00:06<00:04, 52.33it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 329/551 [00:06<00:04, 52.88it/s]

→ 2000L Phase 3: finalize:  61%|██████    | 335/551 [00:06<00:04, 53.26it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 341/551 [00:06<00:03, 53.40it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 347/551 [00:06<00:03, 52.92it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 353/551 [00:06<00:03, 52.72it/s]

→ 2000L Phase 3: finalize:  65%|██████▌   | 359/551 [00:06<00:03, 52.40it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 365/551 [00:07<00:03, 52.43it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 371/551 [00:07<00:03, 52.49it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 377/551 [00:07<00:03, 52.53it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 383/551 [00:07<00:03, 52.53it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 389/551 [00:07<00:03, 52.53it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 395/551 [00:07<00:02, 52.50it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 401/551 [00:07<00:02, 52.43it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 407/551 [00:07<00:02, 52.46it/s]

→ 2000L Phase 3: finalize:  75%|███████▍  | 413/551 [00:07<00:02, 52.42it/s]

→ 2000L Phase 3: finalize:  76%|███████▌  | 419/551 [00:08<00:02, 52.56it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 425/551 [00:08<00:02, 52.62it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 431/551 [00:08<00:02, 52.68it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 437/551 [00:08<00:02, 52.64it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 443/551 [00:08<00:02, 52.69it/s]

→ 2000L Phase 3: finalize:  81%|████████▏ | 449/551 [00:08<00:01, 52.70it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 455/551 [00:08<00:01, 52.87it/s]

→ 2000L Phase 3: finalize:  84%|████████▎ | 461/551 [00:08<00:01, 52.53it/s]

→ 2000L Phase 3: finalize:  85%|████████▍ | 467/551 [00:08<00:01, 52.65it/s]

→ 2000L Phase 3: finalize:  86%|████████▌ | 473/551 [00:09<00:01, 52.51it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 479/551 [00:09<00:01, 52.57it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 485/551 [00:09<00:01, 52.35it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 491/551 [00:09<00:01, 52.03it/s]

→ 2000L Phase 3: finalize:  90%|█████████ | 497/551 [00:09<00:01, 51.86it/s]

→ 2000L Phase 3: finalize:  91%|█████████▏| 503/551 [00:09<00:00, 51.47it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 509/551 [00:09<00:00, 51.54it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 515/551 [00:09<00:00, 51.50it/s]

→ 2000L Phase 3: finalize:  95%|█████████▍| 521/551 [00:10<00:00, 51.40it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 527/551 [00:10<00:00, 51.36it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 533/551 [00:10<00:00, 51.32it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 539/551 [00:10<00:00, 51.23it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 545/551 [00:10<00:00, 51.16it/s]

→ 2000L Phase 3: finalize: 100%|██████████| 551/551 [00:10<00:00, 51.00it/s]

                                                                            
[TIMING] 2000L — 551 frames
  Phase 1  radial detect   (parallel)  :  10.49s  (19.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.74s  (8.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.40s
  Phase 3  finalize        (sequential):  10.62s  (19.3 ms/frame)
    decode + undistort                 :   5.44s  (9.9 ms/frame)
    corner apply + refinement          :   2.51s  (4.5 ms/frame)
    segment                            :   2.20s  (4.0 ms/frame)
    smooth                             :   0.30s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  26.26s


Processing Rigs:  50%|█████     | 2/4 [01:00<01:00, 30.22s/it][INFO] Filtered 581 stationary frames, 782 remain


→ 1500 (782 images) Phase 1:   0%|          | 0/782 [00:00<?, ?it/s]

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→ 1500 (782 images) Phase 1:  72%|███████▏  | 565/782 [00:11<00:03, 56.44it/s]

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→ 1500 (782 images) Phase 1:  79%|███████▉  | 621/782 [00:12<00:02, 57.00it/s]

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→ 1500 (782 images) Phase 1:  81%|████████  | 633/782 [00:12<00:02, 50.04it/s]

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→ 1500 (782 images) Phase 1:  83%|████████▎ | 650/782 [00:12<00:02, 62.75it/s]

→ 1500 (782 images) Phase 1:  84%|████████▍ | 657/782 [00:12<00:02, 52.10it/s]

→ 1500 (782 images) Phase 1:  85%|████████▍ | 664/782 [00:12<00:02, 51.50it/s]

→ 1500 (782 images) Phase 1:  86%|████████▌ | 670/782 [00:13<00:02, 52.67it/s]

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→ 1500 (782 images) Phase 1:  89%|████████▉ | 696/782 [00:13<00:01, 51.87it/s]

→ 1500 (782 images) Phase 1:  90%|████████▉ | 703/782 [00:13<00:01, 54.53it/s]

→ 1500 (782 images) Phase 1:  91%|█████████ | 713/782 [00:13<00:01, 59.11it/s]

→ 1500 (782 images) Phase 1:  92%|█████████▏| 719/782 [00:13<00:01, 53.07it/s]

→ 1500 (782 images) Phase 1:  93%|█████████▎| 725/782 [00:14<00:01, 51.81it/s]

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→ 1500 (782 images) Phase 1:  95%|█████████▍| 740/782 [00:14<00:00, 54.91it/s]

→ 1500 (782 images) Phase 1:  95%|█████████▌| 746/782 [00:14<00:00, 56.03it/s]

→ 1500 (782 images) Phase 1:  96%|█████████▌| 752/782 [00:14<00:00, 53.79it/s]

→ 1500 (782 images) Phase 1:  97%|█████████▋| 759/782 [00:14<00:00, 56.51it/s]

→ 1500 (782 images) Phase 1:  98%|█████████▊| 768/782 [00:14<00:00, 65.26it/s]

→ 1500 (782 images) Phase 1:  99%|█████████▉| 776/782 [00:14<00:00, 68.98it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/782 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/782 [00:00<08:54,  1.46it/s]

→ 1500 Phase 2: corners:   2%|▏         | 15/782 [00:00<00:30, 25.27it/s]

→ 1500 Phase 2: corners:   3%|▎         | 27/782 [00:00<00:17, 43.70it/s]

→ 1500 Phase 2: corners:   5%|▍         | 39/782 [00:00<00:12, 59.23it/s]

→ 1500 Phase 2: corners:   7%|▋         | 51/782 [00:01<00:10, 71.83it/s]

→ 1500 Phase 2: corners:   8%|▊         | 64/782 [00:01<00:08, 83.51it/s]

→ 1500 Phase 2: corners:  10%|▉         | 76/782 [00:01<00:07, 91.98it/s]

→ 1500 Phase 2: corners:  11%|█▏        | 88/782 [00:01<00:07, 97.10it/s]

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→ 1500 Phase 2: corners:  15%|█▍        | 115/782 [00:01<00:05, 113.48it/s]

→ 1500 Phase 2: corners:  16%|█▋        | 128/782 [00:01<00:06, 104.92it/s]

→ 1500 Phase 2: corners:  18%|█▊        | 142/782 [00:01<00:05, 113.35it/s]

→ 1500 Phase 2: corners:  20%|██        | 159/782 [00:01<00:04, 128.19it/s]

→ 1500 Phase 2: corners:  22%|██▏       | 173/782 [00:02<00:04, 123.84it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 187/782 [00:02<00:04, 126.92it/s]

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→ 1500 Phase 2: corners:  27%|██▋       | 214/782 [00:02<00:04, 118.63it/s]

→ 1500 Phase 2: corners:  29%|██▉       | 229/782 [00:02<00:04, 124.95it/s]

→ 1500 Phase 2: corners:  32%|███▏      | 247/782 [00:02<00:03, 137.35it/s]

→ 1500 Phase 2: corners:  34%|███▎      | 263/782 [00:02<00:03, 142.66it/s]

→ 1500 Phase 2: corners:  36%|███▌      | 278/782 [00:02<00:03, 142.53it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 293/782 [00:03<00:03, 122.73it/s]

→ 1500 Phase 2: corners:  39%|███▉      | 306/782 [00:03<00:03, 119.66it/s]

→ 1500 Phase 2: corners:  41%|████▏     | 324/782 [00:03<00:03, 135.02it/s]

→ 1500 Phase 2: corners:  43%|████▎     | 338/782 [00:03<00:03, 128.95it/s]

→ 1500 Phase 2: corners:  45%|████▌     | 352/782 [00:03<00:03, 130.80it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 366/782 [00:03<00:03, 132.54it/s]

→ 1500 Phase 2: corners:  49%|████▉     | 385/782 [00:03<00:02, 145.31it/s]

→ 1500 Phase 2: corners:  51%|█████▏    | 402/782 [00:03<00:02, 149.50it/s]

→ 1500 Phase 2: corners:  53%|█████▎    | 418/782 [00:03<00:02, 142.47it/s]

→ 1500 Phase 2: corners:  55%|█████▌    | 433/782 [00:04<00:02, 137.09it/s]

→ 1500 Phase 2: corners:  57%|█████▋    | 448/782 [00:04<00:02, 140.40it/s]

→ 1500 Phase 2: corners:  59%|█████▉    | 464/782 [00:04<00:02, 143.57it/s]

→ 1500 Phase 2: corners:  61%|██████▏   | 479/782 [00:04<00:02, 133.07it/s]

→ 1500 Phase 2: corners:  63%|██████▎   | 494/782 [00:04<00:02, 135.35it/s]

→ 1500 Phase 2: corners:  65%|██████▍   | 508/782 [00:04<00:02, 135.56it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 527/782 [00:04<00:01, 147.66it/s]

→ 1500 Phase 2: corners:  69%|██████▉   | 542/782 [00:04<00:01, 143.17it/s]

→ 1500 Phase 2: corners:  71%|███████▏  | 558/782 [00:04<00:01, 144.90it/s]

→ 1500 Phase 2: corners:  73%|███████▎  | 573/782 [00:05<00:01, 143.48it/s]

→ 1500 Phase 2: corners:  75%|███████▌  | 590/782 [00:05<00:01, 141.75it/s]

→ 1500 Phase 2: corners:  77%|███████▋  | 605/782 [00:05<00:01, 142.63it/s]

→ 1500 Phase 2: corners:  79%|███████▉  | 620/782 [00:05<00:01, 144.61it/s]

→ 1500 Phase 2: corners:  81%|████████  | 635/782 [00:05<00:01, 136.31it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 649/782 [00:05<00:00, 134.77it/s]

→ 1500 Phase 2: corners:  85%|████████▍ | 663/782 [00:05<00:00, 136.12it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 679/782 [00:05<00:00, 141.22it/s]

→ 1500 Phase 2: corners:  89%|████████▊ | 694/782 [00:05<00:00, 134.15it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 708/782 [00:06<00:00, 135.10it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 724/782 [00:06<00:00, 140.23it/s]

→ 1500 Phase 2: corners:  95%|█████████▍| 739/782 [00:06<00:00, 142.78it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 755/782 [00:06<00:00, 138.39it/s]

→ 1500 Phase 2: corners:  99%|█████████▉| 776/782 [00:06<00:00, 157.52it/s]

                                                                           [PASS2] Frame 0001404: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001405: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001406: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001407: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001406: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 3 untrusted, 782 total


→ 1500 Phase 3: finalize:   0%|          | 0/782 [00:00<?, ?it/s]

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→ 1500 Phase 3: finalize:   8%|▊         | 62/782 [00:01<00:12, 57.77it/s]

→ 1500 Phase 3: finalize:   9%|▊         | 68/782 [00:01<00:12, 57.95it/s]

→ 1500 Phase 3: finalize:   9%|▉         | 74/782 [00:01<00:12, 58.12it/s]

→ 1500 Phase 3: finalize:  10%|█         | 80/782 [00:01<00:12, 58.29it/s]

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→ 1500 Phase 3: finalize:  12%|█▏        | 92/782 [00:01<00:11, 57.56it/s]

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→ 1500 Phase 3: finalize:  19%|█▉        | 152/782 [00:02<00:12, 50.26it/s]

→ 1500 Phase 3: finalize:  20%|██        | 158/782 [00:02<00:12, 50.98it/s]

→ 1500 Phase 3: finalize:  21%|██        | 164/782 [00:03<00:11, 51.58it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 170/782 [00:03<00:11, 51.91it/s]

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→ 1500 Phase 3: finalize:  35%|███▍      | 272/782 [00:05<00:09, 51.99it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 278/782 [00:05<00:09, 52.01it/s]

→ 1500 Phase 3: finalize:  36%|███▋      | 284/782 [00:05<00:09, 51.92it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 290/782 [00:05<00:09, 51.84it/s]

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→ 1500 Phase 3: finalize:  39%|███▉      | 308/782 [00:05<00:09, 51.23it/s]

→ 1500 Phase 3: finalize:  40%|████      | 314/782 [00:05<00:09, 51.15it/s]

→ 1500 Phase 3: finalize:  41%|████      | 320/782 [00:06<00:09, 50.97it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 326/782 [00:06<00:08, 50.97it/s]

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→ 1500 Phase 3: finalize:  46%|████▌     | 356/782 [00:06<00:08, 51.01it/s]

→ 1500 Phase 3: finalize:  46%|████▋     | 362/782 [00:06<00:08, 51.10it/s]

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→ 1500 Phase 3: finalize:  50%|█████     | 392/782 [00:07<00:07, 51.01it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 398/782 [00:07<00:07, 51.12it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 404/782 [00:07<00:07, 51.10it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 410/782 [00:07<00:07, 51.14it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 416/782 [00:07<00:07, 51.17it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 422/782 [00:08<00:07, 51.19it/s]

→ 1500 Phase 3: finalize:  55%|█████▍    | 428/782 [00:08<00:06, 51.12it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 434/782 [00:08<00:06, 50.98it/s]

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→ 1500 Phase 3: finalize:  58%|█████▊    | 452/782 [00:08<00:06, 50.95it/s]

→ 1500 Phase 3: finalize:  59%|█████▊    | 458/782 [00:08<00:06, 50.99it/s]

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→ 1500 Phase 3: finalize:  67%|██████▋   | 524/782 [00:10<00:05, 50.89it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 530/782 [00:10<00:04, 51.07it/s]

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→ 1500 Phase 3: finalize:  69%|██████▉   | 542/782 [00:10<00:04, 51.32it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 548/782 [00:10<00:04, 51.50it/s]

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→ 1500 Phase 3: finalize:  72%|███████▏  | 560/782 [00:10<00:04, 51.61it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 566/782 [00:10<00:04, 51.63it/s]

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→ 1500 Phase 3: finalize:  77%|███████▋  | 602/782 [00:11<00:03, 52.05it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 608/782 [00:11<00:03, 52.06it/s]

→ 1500 Phase 3: finalize:  79%|███████▊  | 614/782 [00:11<00:03, 52.15it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 620/782 [00:11<00:03, 52.28it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 626/782 [00:12<00:02, 52.09it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 632/782 [00:12<00:02, 52.22it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 638/782 [00:12<00:02, 52.29it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 644/782 [00:12<00:02, 52.34it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 650/782 [00:12<00:02, 52.45it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 656/782 [00:12<00:02, 52.46it/s]

→ 1500 Phase 3: finalize:  85%|████████▍ | 662/782 [00:12<00:02, 52.54it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 668/782 [00:12<00:02, 52.60it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 674/782 [00:12<00:02, 52.62it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 680/782 [00:13<00:01, 52.57it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 686/782 [00:13<00:01, 52.49it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 692/782 [00:13<00:01, 52.60it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 698/782 [00:13<00:01, 52.61it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 704/782 [00:13<00:01, 52.58it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 710/782 [00:13<00:01, 52.57it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 716/782 [00:13<00:01, 52.47it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 722/782 [00:13<00:01, 52.37it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 728/782 [00:13<00:01, 52.30it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 734/782 [00:14<00:00, 52.19it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 740/782 [00:14<00:00, 52.19it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 746/782 [00:14<00:00, 52.05it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 752/782 [00:14<00:00, 51.99it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 758/782 [00:14<00:00, 51.89it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 764/782 [00:14<00:00, 51.89it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 770/782 [00:14<00:00, 52.15it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 776/782 [00:14<00:00, 52.65it/s]

→ 1500 Phase 3: finalize: 100%|██████████| 782/782 [00:15<00:00, 52.53it/s]

                                                                           
[TIMING] 1500 — 782 frames
  Phase 1  radial detect   (parallel)  :  15.11s  (19.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.59s  (8.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.52s
  Phase 3  finalize        (sequential):  15.01s  (19.2 ms/frame)
    decode + undistort                 :   7.76s  (9.9 ms/frame)
    corner apply + refinement          :   3.48s  (4.4 ms/frame)
    segment                            :   3.10s  (4.0 ms/frame)
    smooth                             :   0.43s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  37.23s


Processing Rigs:  75%|███████▌  | 3/4 [01:42<00:35, 35.62s/it][INFO] Filtered 568 stationary frames, 585 remain


→ 1000 (585 images) Phase 1:   0%|          | 0/585 [00:00<?, ?it/s]

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→ 1000 (585 images) Phase 1:   2%|▏         | 9/585 [00:01<00:58,  9.81it/s]

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→ 1000 (585 images) Phase 1:   9%|▉         | 54/585 [00:01<00:09, 53.60it/s]

→ 1000 (585 images) Phase 1:  10%|█         | 61/585 [00:02<00:09, 56.79it/s]

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→ 1000 (585 images) Phase 1:  13%|█▎        | 76/585 [00:02<00:09, 54.70it/s]

→ 1000 (585 images) Phase 1:  14%|█▍        | 84/585 [00:02<00:08, 60.04it/s]

→ 1000 (585 images) Phase 1:  16%|█▌        | 91/585 [00:02<00:08, 55.07it/s]

→ 1000 (585 images) Phase 1:  17%|█▋        | 97/585 [00:02<00:08, 55.64it/s]

→ 1000 (585 images) Phase 1:  18%|█▊        | 106/585 [00:02<00:07, 61.80it/s]

→ 1000 (585 images) Phase 1:  19%|█▉        | 114/585 [00:02<00:07, 66.16it/s]

→ 1000 (585 images) Phase 1:  21%|██        | 121/585 [00:03<00:07, 60.31it/s]

→ 1000 (585 images) Phase 1:  22%|██▏       | 128/585 [00:03<00:08, 53.77it/s]

→ 1000 (585 images) Phase 1:  23%|██▎       | 136/585 [00:03<00:07, 60.02it/s]

→ 1000 (585 images) Phase 1:  24%|██▍       | 143/585 [00:03<00:07, 62.05it/s]

→ 1000 (585 images) Phase 1:  26%|██▌       | 153/585 [00:03<00:06, 66.34it/s]

→ 1000 (585 images) Phase 1:  28%|██▊       | 161/585 [00:03<00:06, 68.39it/s]

→ 1000 (585 images) Phase 1:  29%|██▊       | 168/585 [00:03<00:07, 57.75it/s]

→ 1000 (585 images) Phase 1:  30%|███       | 177/585 [00:03<00:06, 64.59it/s]

→ 1000 (585 images) Phase 1:  31%|███▏      | 184/585 [00:04<00:06, 63.66it/s]

→ 1000 (585 images) Phase 1:  33%|███▎      | 191/585 [00:04<00:07, 52.81it/s]

→ 1000 (585 images) Phase 1:  34%|███▍      | 199/585 [00:04<00:06, 58.28it/s]

→ 1000 (585 images) Phase 1:  36%|███▌      | 209/585 [00:04<00:05, 68.09it/s]

→ 1000 (585 images) Phase 1:  37%|███▋      | 217/585 [00:04<00:05, 64.88it/s]

→ 1000 (585 images) Phase 1:  38%|███▊      | 224/585 [00:04<00:06, 57.97it/s]

→ 1000 (585 images) Phase 1:  40%|███▉      | 232/585 [00:04<00:06, 57.74it/s]

→ 1000 (585 images) Phase 1:  41%|████      | 239/585 [00:04<00:05, 59.01it/s]

→ 1000 (585 images) Phase 1:  43%|████▎     | 249/585 [00:05<00:05, 67.12it/s]

→ 1000 (585 images) Phase 1:  44%|████▍     | 256/585 [00:05<00:05, 59.70it/s]

→ 1000 (585 images) Phase 1:  45%|████▌     | 265/585 [00:05<00:05, 59.61it/s]

→ 1000 (585 images) Phase 1:  46%|████▋     | 272/585 [00:05<00:05, 60.29it/s]

→ 1000 (585 images) Phase 1:  48%|████▊     | 280/585 [00:05<00:04, 64.89it/s]

→ 1000 (585 images) Phase 1:  49%|████▉     | 287/585 [00:05<00:04, 63.22it/s]

→ 1000 (585 images) Phase 1:  50%|█████     | 295/585 [00:05<00:04, 66.38it/s]

→ 1000 (585 images) Phase 1:  52%|█████▏    | 302/585 [00:06<00:05, 54.92it/s]

→ 1000 (585 images) Phase 1:  53%|█████▎    | 308/585 [00:06<00:05, 51.55it/s]

→ 1000 (585 images) Phase 1:  54%|█████▍    | 318/585 [00:06<00:04, 61.33it/s]

→ 1000 (585 images) Phase 1:  56%|█████▌    | 328/585 [00:06<00:03, 65.39it/s]

→ 1000 (585 images) Phase 1:  57%|█████▋    | 335/585 [00:06<00:04, 57.40it/s]

→ 1000 (585 images) Phase 1:  58%|█████▊    | 342/585 [00:06<00:04, 59.61it/s]

→ 1000 (585 images) Phase 1:  60%|█████▉    | 349/585 [00:06<00:03, 61.52it/s]

→ 1000 (585 images) Phase 1:  61%|██████    | 357/585 [00:06<00:03, 63.17it/s]

→ 1000 (585 images) Phase 1:  62%|██████▏   | 364/585 [00:07<00:03, 64.16it/s]

→ 1000 (585 images) Phase 1:  63%|██████▎   | 371/585 [00:07<00:03, 59.81it/s]

→ 1000 (585 images) Phase 1:  65%|██████▍   | 379/585 [00:07<00:03, 63.07it/s]

→ 1000 (585 images) Phase 1:  66%|██████▌   | 386/585 [00:07<00:03, 64.35it/s]

→ 1000 (585 images) Phase 1:  67%|██████▋   | 393/585 [00:07<00:03, 52.56it/s]

→ 1000 (585 images) Phase 1:  68%|██████▊   | 399/585 [00:07<00:03, 51.62it/s]

→ 1000 (585 images) Phase 1:  70%|██████▉   | 409/585 [00:07<00:02, 63.17it/s]

→ 1000 (585 images) Phase 1:  71%|███████▏  | 417/585 [00:07<00:02, 66.92it/s]

→ 1000 (585 images) Phase 1:  73%|███████▎  | 425/585 [00:08<00:02, 62.26it/s]

→ 1000 (585 images) Phase 1:  74%|███████▍  | 432/585 [00:08<00:02, 61.18it/s]

→ 1000 (585 images) Phase 1:  75%|███████▌  | 439/585 [00:08<00:02, 57.21it/s]

→ 1000 (585 images) Phase 1:  76%|███████▋  | 447/585 [00:08<00:02, 62.46it/s]

→ 1000 (585 images) Phase 1:  78%|███████▊  | 454/585 [00:08<00:02, 61.49it/s]

→ 1000 (585 images) Phase 1:  79%|███████▉  | 462/585 [00:08<00:01, 65.34it/s]

→ 1000 (585 images) Phase 1:  80%|████████  | 469/585 [00:08<00:02, 56.16it/s]

→ 1000 (585 images) Phase 1:  81%|████████  | 475/585 [00:08<00:01, 55.99it/s]

→ 1000 (585 images) Phase 1:  82%|████████▏ | 481/585 [00:09<00:01, 55.51it/s]

→ 1000 (585 images) Phase 1:  84%|████████▎ | 489/585 [00:09<00:01, 60.75it/s]

→ 1000 (585 images) Phase 1:  85%|████████▍ | 496/585 [00:09<00:01, 55.78it/s]

→ 1000 (585 images) Phase 1:  87%|████████▋ | 509/585 [00:09<00:01, 73.38it/s]

→ 1000 (585 images) Phase 1:  88%|████████▊ | 517/585 [00:09<00:01, 58.76it/s]

→ 1000 (585 images) Phase 1:  90%|████████▉ | 524/585 [00:09<00:01, 58.67it/s]

→ 1000 (585 images) Phase 1:  91%|█████████ | 531/585 [00:09<00:00, 55.66it/s]

→ 1000 (585 images) Phase 1:  92%|█████████▏| 537/585 [00:09<00:00, 55.80it/s]

→ 1000 (585 images) Phase 1:  94%|█████████▎| 548/585 [00:10<00:00, 64.47it/s]

→ 1000 (585 images) Phase 1:  95%|█████████▌| 556/585 [00:10<00:00, 68.16it/s]

→ 1000 (585 images) Phase 1:  96%|█████████▋| 564/585 [00:10<00:00, 62.03it/s]

→ 1000 (585 images) Phase 1:  98%|█████████▊| 575/585 [00:10<00:00, 71.39it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/585 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/585 [00:00<07:41,  1.26it/s]

→ 1000 Phase 2: corners:   3%|▎         | 16/585 [00:00<00:23, 23.74it/s]

→ 1000 Phase 2: corners:   5%|▍         | 28/585 [00:01<00:13, 40.44it/s]

→ 1000 Phase 2: corners:   6%|▋         | 38/585 [00:01<00:10, 52.03it/s]

→ 1000 Phase 2: corners:   8%|▊         | 48/585 [00:01<00:08, 60.38it/s]

→ 1000 Phase 2: corners:  11%|█         | 64/585 [00:01<00:06, 80.87it/s]

→ 1000 Phase 2: corners:  14%|█▍        | 81/585 [00:01<00:04, 102.42it/s]

→ 1000 Phase 2: corners:  16%|█▌        | 95/585 [00:01<00:04, 109.10it/s]

→ 1000 Phase 2: corners:  19%|█▉        | 110/585 [00:01<00:04, 117.24it/s]

→ 1000 Phase 2: corners:  21%|██        | 124/585 [00:01<00:03, 120.25it/s]

→ 1000 Phase 2: corners:  24%|██▍       | 140/585 [00:01<00:03, 127.77it/s]

→ 1000 Phase 2: corners:  26%|██▋       | 154/585 [00:02<00:03, 123.25it/s]

→ 1000 Phase 2: corners:  29%|██▊       | 167/585 [00:02<00:03, 124.42it/s]

→ 1000 Phase 2: corners:  31%|███▏      | 183/585 [00:02<00:03, 132.01it/s]

→ 1000 Phase 2: corners:  34%|███▍      | 198/585 [00:02<00:02, 135.64it/s]

→ 1000 Phase 2: corners:  37%|███▋      | 215/585 [00:02<00:02, 143.41it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 230/585 [00:02<00:02, 141.85it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 247/585 [00:02<00:02, 149.69it/s]

→ 1000 Phase 2: corners:  45%|████▍     | 263/585 [00:02<00:02, 152.29it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 282/585 [00:02<00:01, 162.14it/s]

→ 1000 Phase 2: corners:  51%|█████     | 299/585 [00:02<00:01, 163.62it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 316/585 [00:03<00:01, 161.08it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 333/585 [00:03<00:01, 145.49it/s]

→ 1000 Phase 2: corners:  59%|█████▉    | 348/585 [00:03<00:01, 144.22it/s]

→ 1000 Phase 2: corners:  62%|██████▏   | 365/585 [00:03<00:01, 149.92it/s]

→ 1000 Phase 2: corners:  65%|██████▌   | 381/585 [00:03<00:01, 138.97it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 396/585 [00:03<00:01, 134.07it/s]

→ 1000 Phase 2: corners:  70%|███████   | 412/585 [00:03<00:01, 133.76it/s]

→ 1000 Phase 2: corners:  74%|███████▎  | 430/585 [00:03<00:01, 142.47it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 445/585 [00:04<00:01, 134.68it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 459/585 [00:04<00:00, 134.42it/s]

→ 1000 Phase 2: corners:  81%|████████  | 473/585 [00:04<00:00, 135.83it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 493/585 [00:04<00:00, 151.06it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 509/585 [00:04<00:00, 148.01it/s]

→ 1000 Phase 2: corners:  90%|████████▉ | 525/585 [00:04<00:00, 150.30it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 541/585 [00:04<00:00, 146.92it/s]

→ 1000 Phase 2: corners:  95%|█████████▌| 556/585 [00:04<00:00, 139.79it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 581/585 [00:04<00:00, 169.68it/s]

                                                                           [PASS2] Frame 0000639: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 2 untrusted, 585 total


→ 1000 Phase 3: finalize:   0%|          | 0/585 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   1%|          | 6/585 [00:00<00:09, 58.42it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 13/585 [00:00<00:08, 63.64it/s]

→ 1000 Phase 3: finalize:   3%|▎         | 20/585 [00:00<00:09, 61.96it/s]

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→ 1000 Phase 3: finalize:   6%|▌         | 34/585 [00:00<00:08, 61.44it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 41/585 [00:00<00:09, 60.26it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 48/585 [00:00<00:08, 60.91it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 55/585 [00:00<00:08, 61.27it/s]

→ 1000 Phase 3: finalize:  11%|█         | 62/585 [00:01<00:08, 61.57it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 69/585 [00:01<00:08, 61.73it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 76/585 [00:01<00:08, 61.96it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 83/585 [00:01<00:08, 62.03it/s]

→ 1000 Phase 3: finalize:  15%|█▌        | 90/585 [00:01<00:08, 61.75it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 97/585 [00:01<00:08, 58.70it/s]

→ 1000 Phase 3: finalize:  18%|█▊        | 103/585 [00:01<00:08, 57.22it/s]

→ 1000 Phase 3: finalize:  19%|█▊        | 109/585 [00:01<00:08, 55.98it/s]

→ 1000 Phase 3: finalize:  20%|█▉        | 115/585 [00:01<00:08, 55.24it/s]

→ 1000 Phase 3: finalize:  21%|██        | 121/585 [00:02<00:08, 54.62it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 127/585 [00:02<00:08, 54.22it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 133/585 [00:02<00:08, 53.95it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 139/585 [00:02<00:08, 53.73it/s]

→ 1000 Phase 3: finalize:  25%|██▍       | 145/585 [00:02<00:08, 53.55it/s]

→ 1000 Phase 3: finalize:  26%|██▌       | 151/585 [00:02<00:08, 53.47it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 157/585 [00:02<00:08, 53.42it/s]

→ 1000 Phase 3: finalize:  28%|██▊       | 163/585 [00:02<00:07, 53.27it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 169/585 [00:02<00:07, 52.77it/s]

→ 1000 Phase 3: finalize:  30%|██▉       | 175/585 [00:03<00:07, 52.84it/s]

→ 1000 Phase 3: finalize:  31%|███       | 181/585 [00:03<00:07, 52.90it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 187/585 [00:03<00:07, 53.34it/s]

→ 1000 Phase 3: finalize:  33%|███▎      | 193/585 [00:03<00:07, 52.56it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 199/585 [00:03<00:07, 52.49it/s]

→ 1000 Phase 3: finalize:  35%|███▌      | 205/585 [00:03<00:07, 52.36it/s]

→ 1000 Phase 3: finalize:  36%|███▌      | 211/585 [00:03<00:07, 52.27it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 217/585 [00:03<00:07, 52.07it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 223/585 [00:03<00:06, 52.02it/s]

→ 1000 Phase 3: finalize:  39%|███▉      | 229/585 [00:04<00:06, 51.95it/s]

→ 1000 Phase 3: finalize:  40%|████      | 235/585 [00:04<00:06, 52.05it/s]

→ 1000 Phase 3: finalize:  41%|████      | 241/585 [00:04<00:06, 52.06it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 247/585 [00:04<00:06, 52.10it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 253/585 [00:04<00:06, 52.19it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 259/585 [00:04<00:06, 52.22it/s]

→ 1000 Phase 3: finalize:  45%|████▌     | 265/585 [00:04<00:06, 52.70it/s]

→ 1000 Phase 3: finalize:  46%|████▋     | 271/585 [00:04<00:05, 53.22it/s]

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→ 1000 Phase 3: finalize:  50%|█████     | 295/585 [00:05<00:05, 54.47it/s]

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→ 1000 Phase 3: finalize:  52%|█████▏    | 307/585 [00:05<00:05, 54.68it/s]

→ 1000 Phase 3: finalize:  54%|█████▎    | 313/585 [00:05<00:04, 54.76it/s]

→ 1000 Phase 3: finalize:  55%|█████▍    | 319/585 [00:05<00:04, 54.53it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 325/585 [00:05<00:04, 54.50it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 331/585 [00:05<00:04, 53.77it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 337/585 [00:06<00:04, 53.32it/s]

→ 1000 Phase 3: finalize:  59%|█████▊    | 343/585 [00:06<00:04, 52.95it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 349/585 [00:06<00:04, 52.76it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 355/585 [00:06<00:04, 52.60it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 361/585 [00:06<00:04, 52.52it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 367/585 [00:06<00:04, 52.38it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 373/585 [00:06<00:04, 52.27it/s]

→ 1000 Phase 3: finalize:  65%|██████▍   | 379/585 [00:06<00:03, 52.14it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 385/585 [00:07<00:03, 52.17it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 391/585 [00:07<00:03, 52.21it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 397/585 [00:07<00:03, 51.93it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 403/585 [00:07<00:03, 52.02it/s]

→ 1000 Phase 3: finalize:  70%|██████▉   | 409/585 [00:07<00:03, 51.99it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 415/585 [00:07<00:03, 51.99it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 421/585 [00:07<00:03, 51.35it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 427/585 [00:07<00:03, 51.76it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 433/585 [00:07<00:02, 52.10it/s]

→ 1000 Phase 3: finalize:  75%|███████▌  | 439/585 [00:08<00:02, 52.37it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 445/585 [00:08<00:02, 52.49it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 451/585 [00:08<00:02, 52.69it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 457/585 [00:08<00:02, 52.81it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 463/585 [00:08<00:02, 53.23it/s]

→ 1000 Phase 3: finalize:  80%|████████  | 469/585 [00:08<00:02, 53.28it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 475/585 [00:08<00:02, 53.35it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 481/585 [00:08<00:01, 53.58it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 487/585 [00:08<00:01, 53.72it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 493/585 [00:09<00:01, 53.86it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 499/585 [00:09<00:01, 53.94it/s]

→ 1000 Phase 3: finalize:  86%|████████▋ | 505/585 [00:09<00:01, 54.32it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 511/585 [00:09<00:01, 54.85it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 517/585 [00:09<00:01, 55.23it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 523/585 [00:09<00:01, 55.57it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 529/585 [00:09<00:01, 55.71it/s]

→ 1000 Phase 3: finalize:  91%|█████████▏| 535/585 [00:09<00:00, 55.84it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 541/585 [00:09<00:00, 55.93it/s]

→ 1000 Phase 3: finalize:  94%|█████████▎| 547/585 [00:10<00:00, 56.00it/s]

→ 1000 Phase 3: finalize:  95%|█████████▍| 553/585 [00:10<00:00, 55.92it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 559/585 [00:10<00:00, 55.89it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 565/585 [00:10<00:00, 55.75it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 571/585 [00:10<00:00, 55.52it/s]

→ 1000 Phase 3: finalize:  99%|█████████▊| 577/585 [00:10<00:00, 55.43it/s]

→ 1000 Phase 3: finalize: 100%|█████████▉| 583/585 [00:10<00:00, 55.15it/s]

                                                                           
[TIMING] 1000 — 585 frames
  Phase 1  radial detect   (parallel)  :  10.62s  (18.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   5.02s  (8.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.25s
  Phase 3  finalize        (sequential):  10.73s  (18.3 ms/frame)
    decode + undistort                 :   5.80s  (9.9 ms/frame)
    corner apply + refinement          :   2.16s  (3.7 ms/frame)
    segment                            :   2.26s  (3.9 ms/frame)
    smooth                             :   0.33s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  26.62s


Processing Rigs: 100%|██████████| 4/4 [02:12<00:00, 33.63s/it]
Processing Rigs: 100%|██████████| 4/4 [02:12<00:00, 33.23s/it]
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2026-10-13/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 2459 frames from 4 rigs to /working/MDC048_W021(6)_2026-10-13/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2026-10-13/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 541
[📋] 2000L: 100 frames selected from 551
[📋] 1500: 100 frames selected from 782
[📋] 1000: 100 frames selected from 585
[💾] Saved RigFrameDataset to /working/MDC048_W021(6)_2026-10-13/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC048_W021(6)_2026-10-13/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:05<07:06,  5.40s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:05<03:01,  2.32s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:42,  1.33s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:07,  1.13it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:06<00:49,  1.51it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:06<00:35,  2.07it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:06<00:28,  2.56it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:06<00:22,  3.23it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:14,  4.72it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:07<00:16,  4.22it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:07<00:18,  3.74it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:07<00:21,  3.13it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:08<00:13,  4.72it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:08<00:13,  4.88it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:08<00:13,  4.80it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:08<00:10,  5.70it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:09<00:09,  6.33it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:09<00:08,  6.52it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:09<00:07,  7.26it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:09<00:07,  7.19it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:09<00:08,  6.16it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:10<00:07,  6.61it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:10<00:10,  5.02it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:11<00:24,  2.01it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:11<00:19,  2.45it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:12<00:16,  2.90it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:12<00:16,  2.84it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:13<00:22,  2.04it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:13<00:17,  2.56it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:13<00:13,  3.22it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:13<00:12,  3.50it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:14<00:08,  4.68it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:14<00:06,  5.71it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:14<00:06,  5.78it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:14<00:07,  5.02it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:15<00:07,  4.86it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:15<00:06,  5.45it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:15<00:05,  6.06it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:15<00:05,  5.25it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:15<00:04,  7.07it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:16<00:04,  6.48it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:16<00:03,  7.05it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:16<00:04,  5.79it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:16<00:02,  7.34it/s]
Computing max image from bright frames:  76%|███████▋  | 61/80 [00:17<00:03,  5.05it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:17<00:03,  5.20it/s]
Computing max image from bright frames:  79%|███████▉  | 63/80 [00:18<00:03,  5.10it/s]
Computing max image from bright frames:  80%|████████  | 64/80 [00:18<00:02,  5.43it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:18<00:03,  4.31it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:18<00:03,  4.21it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:19<00:02,  4.35it/s]
Computing max image from bright frames:  86%|████████▋ | 69/80 [00:19<00:01,  5.55it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:19<00:01,  6.19it/s]
Computing max image from bright frames:  91%|█████████▏| 73/80 [00:19<00:00,  9.54it/s]
Computing max image from bright frames:  94%|█████████▍| 75/80 [00:19<00:00, 10.44it/s]
Computing max image from bright frames:  96%|█████████▋| 77/80 [00:20<00:00, 10.38it/s]
Computing max image from bright frames:  99%|█████████▉| 79/80 [00:20<00:00,  8.56it/s]
                                                                                       
[✅] Casing detection complete: cx=1007.0, cy=722.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.31it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.31it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:29,  3.31it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:29,  3.31it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:28,  3.31it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:09, 10.53it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   5%|▌         | 5/100 [00:00<00:09, 10.53it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:08, 10.53it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   7%|▋         | 7/100 [00:00<00:08, 10.53it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   8%|▊         | 8/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 363.636} (0.001):   8%|▊         | 8/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:06, 14.64it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  13%|█▎        | 13/100 [00:00<00:03, 22.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:03, 22.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 22.02it/s] 
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 22.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:00<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:01<00:03, 21.77it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  19%|█▉        | 19/100 [00:01<00:03, 23.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:03, 23.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:01<00:03, 23.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  21%|██        | 21/100 [00:01<00:03, 23.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.010 | Best: {'fx': 448.485} (0.010):  22%|██▏       | 22/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 476.768} (0.019):  22%|██▏       | 22/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.012 | Best: {'fx': 476.768} (0.019):  23%|██▎       | 23/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.014 | Best: {'fx': 476.768} (0.019):  24%|██▍       | 24/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  25%|██▌       | 25/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.017 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.030 | Best: {'fx': 490.909} (0.030):  27%|██▋       | 27/100 [00:01<00:03, 19.59it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.030 | Best: {'fx': 490.909} (0.030):  28%|██▊       | 28/100 [00:01<00:02, 27.54it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.037 | Best: {'fx': 497.98} (0.037):  28%|██▊       | 28/100 [00:01<00:02, 27.54it/s] 
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.045 | Best: {'fx': 505.051} (0.045):  29%|██▉       | 29/100 [00:01<00:02, 27.54it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.055 | Best: {'fx': 512.121} (0.055):  30%|███       | 30/100 [00:01<00:02, 27.54it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.085 | Best: {'fx': 526.263} (0.085):  31%|███       | 31/100 [00:01<00:02, 27.54it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.085 | Best: {'fx': 526.263} (0.085):  32%|███▏      | 32/100 [00:01<00:04, 16.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.070 | Best: {'fx': 526.263} (0.085):  32%|███▏      | 32/100 [00:01<00:04, 16.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.075 | Best: {'fx': 526.263} (0.085):  33%|███▎      | 33/100 [00:01<00:04, 16.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.103 | Best: {'fx': 533.333} (0.103):  34%|███▍      | 34/100 [00:01<00:03, 16.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.103 | Best: {'fx': 533.333} (0.103):  35%|███▌      | 35/100 [00:01<00:03, 17.33it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.091 | Best: {'fx': 533.333} (0.103):  35%|███▌      | 35/100 [00:01<00:03, 17.33it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.053 | Best: {'fx': 533.333} (0.103):  36%|███▌      | 36/100 [00:02<00:03, 17.33it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.062 | Best: {'fx': 533.333} (0.103):  37%|███▋      | 37/100 [00:02<00:03, 17.33it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.049 | Best: {'fx': 533.333} (0.103):  38%|███▊      | 38/100 [00:02<00:03, 17.33it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.049 | Best: {'fx': 533.333} (0.103):  39%|███▉      | 39/100 [00:02<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.042 | Best: {'fx': 533.333} (0.103):  39%|███▉      | 39/100 [00:02<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.036 | Best: {'fx': 533.333} (0.103):  40%|████      | 40/100 [00:02<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 533.333} (0.103):  41%|████      | 41/100 [00:02<00:03, 19.35it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 533.333} (0.103):  42%|████▏     | 42/100 [00:02<00:03, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.039 | Best: {'fx': 533.333} (0.103):  42%|████▏     | 42/100 [00:02<00:03, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.032 | Best: {'fx': 533.333} (0.103):  43%|████▎     | 43/100 [00:02<00:03, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.045 | Best: {'fx': 533.333} (0.103):  44%|████▍     | 44/100 [00:02<00:02, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.035 | Best: {'fx': 533.333} (0.103):  45%|████▌     | 45/100 [00:02<00:02, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.029 | Best: {'fx': 533.333} (0.103):  46%|████▌     | 46/100 [00:02<00:02, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.031 | Best: {'fx': 533.333} (0.103):  47%|████▋     | 47/100 [00:02<00:02, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.029 | Best: {'fx': 533.333} (0.103):  48%|████▊     | 48/100 [00:02<00:02, 18.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.029 | Best: {'fx': 533.333} (0.103):  49%|████▉     | 49/100 [00:02<00:01, 26.81it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.028 | Best: {'fx': 533.333} (0.103):  49%|████▉     | 49/100 [00:02<00:01, 26.81it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.026 | Best: {'fx': 533.333} (0.103):  50%|█████     | 50/100 [00:02<00:01, 26.81it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.026 | Best: {'fx': 533.333} (0.103):  51%|█████     | 51/100 [00:02<00:01, 26.81it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.103):  52%|█████▏    | 52/100 [00:02<00:01, 26.81it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.103):  53%|█████▎    | 53/100 [00:02<00:01, 23.86it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.103):  53%|█████▎    | 53/100 [00:02<00:01, 23.86it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  54%|█████▍    | 54/100 [00:02<00:01, 23.86it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.025 | Best: {'fx': 533.333} (0.103):  55%|█████▌    | 55/100 [00:02<00:01, 23.86it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  56%|█████▌    | 56/100 [00:02<00:01, 23.86it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  57%|█████▋    | 57/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  57%|█████▋    | 57/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.025 | Best: {'fx': 533.333} (0.103):  58%|█████▊    | 58/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.103):  59%|█████▉    | 59/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  60%|██████    | 60/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  61%|██████    | 61/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  62%|██████▏   | 62/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  63%|██████▎   | 63/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.103):  64%|██████▍   | 64/100 [00:02<00:01, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.103):  65%|██████▌   | 65/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.103):  65%|██████▌   | 65/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.103):  66%|██████▌   | 66/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.103):  67%|██████▋   | 67/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.103):  68%|██████▊   | 68/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  69%|██████▉   | 69/100 [00:02<00:00, 37.22it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  70%|███████   | 70/100 [00:02<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  70%|███████   | 70/100 [00:02<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.103):  71%|███████   | 71/100 [00:02<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  72%|███████▏  | 72/100 [00:03<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  73%|███████▎  | 73/100 [00:03<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  74%|███████▍  | 74/100 [00:03<00:00, 39.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  75%|███████▌  | 75/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  75%|███████▌  | 75/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  76%|███████▌  | 76/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  77%|███████▋  | 77/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  78%|███████▊  | 78/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  79%|███████▉  | 79/100 [00:03<00:00, 39.92it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.103):  80%|████████  | 80/100 [00:03<00:00, 34.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  80%|████████  | 80/100 [00:03<00:00, 34.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  81%|████████  | 81/100 [00:03<00:00, 34.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  82%|████████▏ | 82/100 [00:03<00:00, 34.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  83%|████████▎ | 83/100 [00:03<00:00, 34.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  84%|████████▍ | 84/100 [00:03<00:00, 32.55it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  84%|████████▍ | 84/100 [00:03<00:00, 32.55it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  85%|████████▌ | 85/100 [00:03<00:00, 32.55it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  86%|████████▌ | 86/100 [00:03<00:00, 32.55it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  87%|████████▋ | 87/100 [00:03<00:00, 32.55it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  88%|████████▊ | 88/100 [00:03<00:00, 29.67it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  88%|████████▊ | 88/100 [00:03<00:00, 29.67it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  89%|████████▉ | 89/100 [00:03<00:00, 29.67it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  90%|█████████ | 90/100 [00:03<00:00, 29.67it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  91%|█████████ | 91/100 [00:03<00:00, 29.67it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  92%|█████████▏| 92/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  92%|█████████▏| 92/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  93%|█████████▎| 93/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  94%|█████████▍| 94/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  95%|█████████▌| 95/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  96%|█████████▌| 96/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.103):  97%|█████████▋| 97/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  98%|█████████▊| 98/100 [00:03<00:00, 25.11it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  99%|█████████▉| 99/100 [00:03<00:00, 33.14it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.103):  99%|█████████▉| 99/100 [00:03<00:00, 33.14it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.052 | Best: {'fx': 510.374} (0.052):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.052 | Best: {'fx': 510.374} (0.052):   2%|▏         | 1/50 [00:00<00:33,  1.47it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.053 | Best: {'fx': 511.395} (0.053):   2%|▏         | 1/50 [00:00<00:33,  1.47it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.056 | Best: {'fx': 512.415} (0.056):   4%|▍         | 2/50 [00:00<00:32,  1.47it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.049 | Best: {'fx': 512.415} (0.056):   6%|▌         | 3/50 [00:00<00:32,  1.47it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.049 | Best: {'fx': 512.415} (0.056):   8%|▊         | 4/50 [00:00<00:08,  5.72it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.051 | Best: {'fx': 512.415} (0.056):   8%|▊         | 4/50 [00:00<00:08,  5.72it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.066 | Best: {'fx': 517.517} (0.066):  10%|█         | 5/50 [00:01<00:07,  5.72it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.066 | Best: {'fx': 517.517} (0.066):  12%|█▏        | 6/50 [00:01<00:05,  7.37it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.059 | Best: {'fx': 517.517} (0.066):  12%|█▏        | 6/50 [00:01<00:05,  7.37it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.057 | Best: {'fx': 517.517} (0.066):  14%|█▍        | 7/50 [00:01<00:05,  7.37it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.064 | Best: {'fx': 517.517} (0.066):  16%|█▌        | 8/50 [00:01<00:05,  7.37it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.064 | Best: {'fx': 517.517} (0.066):  18%|█▊        | 9/50 [00:01<00:03, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.060 | Best: {'fx': 517.517} (0.066):  18%|█▊        | 9/50 [00:01<00:03, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.068 | Best: {'fx': 518.537} (0.068):  20%|██        | 10/50 [00:01<00:03, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.071 | Best: {'fx': 519.558} (0.071):  22%|██▏       | 11/50 [00:01<00:03, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.077 | Best: {'fx': 522.619} (0.077):  24%|██▍       | 12/50 [00:01<00:03, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.077 | Best: {'fx': 522.619} (0.077):  26%|██▌       | 13/50 [00:01<00:02, 16.43it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.076 | Best: {'fx': 522.619} (0.077):  26%|██▌       | 13/50 [00:01<00:02, 16.43it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.077 | Best: {'fx': 523.639} (0.077):  28%|██▊       | 14/50 [00:01<00:02, 16.43it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.074 | Best: {'fx': 523.639} (0.077):  30%|███       | 15/50 [00:01<00:02, 16.43it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.081 | Best: {'fx': 524.66} (0.081):  32%|███▏      | 16/50 [00:01<00:02, 16.43it/s] 
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.081 | Best: {'fx': 524.66} (0.081):  34%|███▍      | 17/50 [00:01<00:01, 19.00it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.083 | Best: {'fx': 525.68} (0.083):  34%|███▍      | 17/50 [00:01<00:01, 19.00it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.089 | Best: {'fx': 527.721} (0.089):  36%|███▌      | 18/50 [00:01<00:01, 19.00it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.087 | Best: {'fx': 527.721} (0.089):  38%|███▊      | 19/50 [00:01<00:01, 19.00it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.090 | Best: {'fx': 528.741} (0.090):  40%|████      | 20/50 [00:01<00:01, 19.00it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.090 | Best: {'fx': 528.741} (0.090):  42%|████▏     | 21/50 [00:01<00:01, 20.61it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.103 | Best: {'fx': 533.844} (0.103):  42%|████▏     | 21/50 [00:01<00:01, 20.61it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.092 | Best: {'fx': 533.844} (0.103):  44%|████▍     | 22/50 [00:01<00:01, 20.61it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.101 | Best: {'fx': 533.844} (0.103):  46%|████▌     | 23/50 [00:01<00:01, 20.61it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.101 | Best: {'fx': 533.844} (0.103):  48%|████▊     | 24/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.092 | Best: {'fx': 533.844} (0.103):  48%|████▊     | 24/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.095 | Best: {'fx': 533.844} (0.103):  50%|█████     | 25/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.099 | Best: {'fx': 533.844} (0.103):  52%|█████▏    | 26/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.086 | Best: {'fx': 533.844} (0.103):  54%|█████▍    | 27/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.090 | Best: {'fx': 533.844} (0.103):  56%|█████▌    | 28/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.101 | Best: {'fx': 533.844} (0.103):  58%|█████▊    | 29/50 [00:01<00:01, 20.85it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.101 | Best: {'fx': 533.844} (0.103):  60%|██████    | 30/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.084 | Best: {'fx': 533.844} (0.103):  60%|██████    | 30/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.099 | Best: {'fx': 533.844} (0.103):  62%|██████▏   | 31/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.082 | Best: {'fx': 533.844} (0.103):  64%|██████▍   | 32/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.077 | Best: {'fx': 533.844} (0.103):  66%|██████▌   | 33/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.079 | Best: {'fx': 533.844} (0.103):  68%|██████▊   | 34/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.101 | Best: {'fx': 533.844} (0.103):  70%|███████   | 35/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.076 | Best: {'fx': 533.844} (0.103):  72%|███████▏  | 36/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.094 | Best: {'fx': 533.844} (0.103):  74%|███████▍  | 37/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.074 | Best: {'fx': 533.844} (0.103):  76%|███████▌  | 38/50 [00:01<00:00, 26.30it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.074 | Best: {'fx': 533.844} (0.103):  78%|███████▊  | 39/50 [00:01<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.068 | Best: {'fx': 533.844} (0.103):  78%|███████▊  | 39/50 [00:02<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.097 | Best: {'fx': 533.844} (0.103):  80%|████████  | 40/50 [00:02<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.071 | Best: {'fx': 533.844} (0.103):  82%|████████▏ | 41/50 [00:02<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.065 | Best: {'fx': 533.844} (0.103):  84%|████████▍ | 42/50 [00:02<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.066 | Best: {'fx': 533.844} (0.103):  86%|████████▌ | 43/50 [00:02<00:00, 39.64it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.066 | Best: {'fx': 533.844} (0.103):  88%|████████▊ | 44/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.064 | Best: {'fx': 533.844} (0.103):  88%|████████▊ | 44/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.062 | Best: {'fx': 533.844} (0.103):  90%|█████████ | 45/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.056 | Best: {'fx': 533.844} (0.103):  92%|█████████▏| 46/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.059 | Best: {'fx': 533.844} (0.103):  94%|█████████▍| 47/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.057 | Best: {'fx': 533.844} (0.103):  96%|█████████▌| 48/50 [00:02<00:00, 38.17it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.057 | Best: {'fx': 533.844} (0.103):  98%|█████████▊| 49/50 [00:02<00:00, 38.14it/s]
Brute | Start: {'fx': 533.333} (0.103) | Current: 0.061 | Best: {'fx': 533.844} (0.103):  98%|█████████▊| 49/50 [00:02<00:00, 38.14it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 533.3333333333334
    px: 1007.0
    py: 722.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 17.6025: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 17.6025, picklable_objective(x0) = 17.6125

Best score: 17.6125: : 0iter [00:02, ?iter/s] 
Best score: 17.6125: : 1iter [00:02,  2.08s/iter]
Best score: 17.6125: : 1iter [00:02,  2.08s/iter]
Best score: 17.6125: : 2iter [00:02,  1.08iter/s]
Best score: 17.6125: : 2iter [00:02,  1.08iter/s]
Best score: 17.6125: : 3iter [00:02,  1.79iter/s]
Best score: 17.6125: : 3iter [00:02,  1.79iter/s]
Best score: 17.6125: : 4iter [00:02,  2.62iter/s]
Best score: 17.6125: : 4iter [00:02,  2.62iter/s]
Best score: 17.6125: : 5iter [00:02,  3.51iter/s]
Best score: 17.6125: : 5iter [00:02,  3.51iter/s]
Best score: 17.6125: : 6iter [00:02,  4.42iter/s]
Best score: 17.6125: : 6iter [00:02,  4.42iter/s]
Best score: 17.6125: : 7iter [00:02,  5.29iter/s]
Best score: 17.6125: : 7iter [00:02,  5.29iter/s]
Best score: 17.6125: : 8iter [00:02,  6.09iter/s]
Best score: 17.6125: : 8iter [00:02,  6.09iter/s]
Best score: 17.6125: : 9iter [00:02,  6.76iter/s]
Best score: 17.6125: : 9iter [00:03,  6.76iter/s]
Best score: 17.6125: : 10iter [00:03,  7.10iter/s]
Best score: 17.6125: : 10iter [00:03,  7.10iter/s]
Best score: 17.6125: : 11iter [00:03,  7.63iter/s]
Best score: 17.6125: : 11iter [00:03,  7.63iter/s]
Best score: 17.6125: : 12iter [00:03,  7.94iter/s]
Best score: 17.6125: : 12iter [00:03,  7.94iter/s]
Best score: 17.6125: : 13iter [00:03,  8.18iter/s]
Best score: 17.6125: : 13iter [00:03,  8.18iter/s]
Best score: 17.6125: : 14iter [00:03,  8.36iter/s]
Best score: 17.6125: : 14iter [00:03,  8.36iter/s]
Best score: 17.6125: : 15iter [00:03,  8.45iter/s]
Best score: 17.6125: : 15iter [00:03,  8.45iter/s]
Best score: 17.6125: : 16iter [00:03,  8.56iter/s]
Best score: 17.6125: : 16iter [00:03,  8.56iter/s]
Best score: 17.6125: : 17iter [00:03,  8.61iter/s]
Best score: 17.6125: : 17iter [00:04,  8.61iter/s]
Best score: 17.6125: : 18iter [00:04,  8.75iter/s]
Best score: 17.6125: : 18iter [00:04,  8.75iter/s]
Best score: 17.6125: : 19iter [00:04,  8.67iter/s]
Best score: 17.6125: : 19iter [00:04,  8.67iter/s]
Best score: 17.6125: : 20iter [00:04,  8.51iter/s]
Best score: 17.6125: : 20iter [00:04,  8.51iter/s]
Best score: 17.6125: : 21iter [00:04,  8.57iter/s]
Best score: 17.6125: : 21iter [00:04,  8.57iter/s]
Best score: 17.6125: : 22iter [00:04,  8.59iter/s]
Best score: 17.6125: : 22iter [00:04,  8.59iter/s]
Best score: 17.6125: : 23iter [00:04,  8.67iter/s]
Best score: 17.6125: : 23iter [00:04,  8.67iter/s]
Best score: 17.6125: : 24iter [00:04,  8.76iter/s]
Best score: 17.6125: : 24iter [00:04,  8.76iter/s]
Best score: 17.6125: : 25iter [00:04,  8.60iter/s]
Best score: 17.6125: : 25iter [00:04,  8.60iter/s]
Best score: 17.6125: : 26iter [00:04,  8.81iter/s]
Best score: 17.6125: : 26iter [00:05,  8.81iter/s]
Best score: 17.6125: : 27iter [00:05,  8.76iter/s]
Best score: 17.6125: : 27iter [00:05,  8.76iter/s]
Best score: 17.6125: : 28iter [00:05,  8.90iter/s]
Best score: 17.6125: : 28iter [00:05,  8.90iter/s]
Best score: 17.6125: : 29iter [00:05,  9.05iter/s]
Best score: 17.6125: : 29iter [00:05,  9.05iter/s]
Best score: 17.6125: : 30iter [00:05,  8.93iter/s]
Best score: 17.6125: : 30iter [00:05,  8.93iter/s]
Best score: 17.6125: : 31iter [00:05,  9.01iter/s]
Best score: 17.6125: : 31iter [00:05,  9.01iter/s]
Best score: 17.6125: : 32iter [00:05,  9.01iter/s]
Best score: 17.6125: : 32iter [00:05,  9.01iter/s]
Best score: 17.6125: : 33iter [00:05,  9.15iter/s]
Best score: 17.6125: : 33iter [00:05,  9.15iter/s]
Best score: 17.6125: : 34iter [00:05,  9.13iter/s]
Best score: 17.6125: : 34iter [00:05,  9.13iter/s]
Best score: 17.6125: : 35iter [00:05,  8.98iter/s]
Best score: 17.6125: : 35iter [00:06,  8.98iter/s]
Best score: 17.6125: : 36iter [00:06,  8.92iter/s]
Best score: 17.6125: : 36iter [00:06,  8.92iter/s]
Best score: 17.6125: : 37iter [00:06,  9.08iter/s]
Best score: 17.6125: : 37iter [00:06,  9.08iter/s]
Best score: 17.6125: : 38iter [00:06,  9.05iter/s]
Best score: 17.6125: : 38iter [00:06,  9.05iter/s]
Best score: 17.6125: : 39iter [00:06,  9.18iter/s]
Best score: 17.6125: : 39iter [00:06,  9.18iter/s]
Best score: 17.6125: : 40iter [00:06,  9.07iter/s]
Best score: 17.6125: : 40iter [00:06,  9.07iter/s]
Best score: 17.6125: : 41iter [00:06,  9.12iter/s]
Best score: 17.6125: : 41iter [00:06,  9.12iter/s]
Best score: 17.6125: : 42iter [00:06,  9.05iter/s]
Best score: 17.6125: : 42iter [00:06,  9.05iter/s]
Best score: 17.6125: : 43iter [00:06,  9.20iter/s]
Best score: 17.6125: : 43iter [00:06,  9.20iter/s]
Best score: 17.6125: : 44iter [00:06,  8.97iter/s]
Best score: 17.6125: : 44iter [00:07,  8.97iter/s]
Best score: 17.6125: : 45iter [00:07,  9.12iter/s]
Best score: 17.6125: : 45iter [00:07,  9.12iter/s]
Best score: 17.6125: : 46iter [00:07,  9.02iter/s]
Best score: 17.6125: : 46iter [00:07,  9.02iter/s]
Best score: 17.6125: : 47iter [00:07,  9.06iter/s]
Best score: 17.6125: : 47iter [00:07,  9.06iter/s]
Best score: 17.6125: : 48iter [00:07,  8.97iter/s]
Best score: 17.6125: : 48iter [00:07,  8.97iter/s]
Best score: 17.6125: : 49iter [00:07,  8.87iter/s]
[ITER 50] Best: 13.1945
[PARAMS] Current best parameters:
  fx: 560.2073
  fy: 560.9141
  px: 1013.9098
  py: 728.4787
  k1: 0.02006623
  k2: -0.00972268
  k3: -0.03181538
  k4: 0.01520573
  p1: 0.00917670
  p2: 0.00635271
  p3: -0.00995796
  p4: 0.01641008
  s1: -0.0030
  s2: -0.0023
  s3: -0.0169
  s4: -0.0097
  tilt_x: 0.0225
  tilt_y: 0.0053
  scale: 2.8624
  rotation: -0.2206

Best score: 13.1945: : 49iter [00:07,  8.87iter/s]
Best score: 13.1945: : 50iter [00:07,  8.64iter/s]
Best score: 13.1945: : 50iter [00:07,  8.64iter/s]
Best score: 13.1945: : 51iter [00:07,  8.88iter/s]
Best score: 13.1945: : 51iter [00:07,  8.88iter/s]
Best score: 13.1945: : 52iter [00:07,  8.95iter/s]
Best score: 13.1945: : 52iter [00:07,  8.95iter/s]
Best score: 13.1945: : 53iter [00:07,  9.15iter/s]
Best score: 13.1945: : 53iter [00:08,  9.15iter/s]
Best score: 13.1945: : 54iter [00:08,  9.18iter/s]
Best score: 13.1945: : 54iter [00:08,  9.18iter/s]
Best score: 13.1945: : 55iter [00:08,  9.17iter/s]
Best score: 13.1945: : 55iter [00:08,  9.17iter/s]
Best score: 13.1945: : 56iter [00:08,  9.13iter/s]
Best score: 13.1945: : 56iter [00:08,  9.13iter/s]
Best score: 13.1945: : 57iter [00:08,  9.26iter/s]
Best score: 13.1945: : 57iter [00:08,  9.26iter/s]
Best score: 13.1945: : 58iter [00:08,  9.18iter/s]
Best score: 13.1945: : 58iter [00:08,  9.18iter/s]
Best score: 13.1945: : 59iter [00:08,  9.08iter/s]
Best score: 13.1945: : 59iter [00:08,  9.08iter/s]
Best score: 13.1945: : 60iter [00:08,  8.93iter/s]
Best score: 13.1945: : 60iter [00:08,  8.93iter/s]
Best score: 13.1945: : 61iter [00:08,  9.10iter/s]
Best score: 13.1945: : 61iter [00:08,  9.10iter/s]
Best score: 13.1945: : 62iter [00:08,  9.07iter/s]
Best score: 13.1945: : 62iter [00:09,  9.07iter/s]
Best score: 13.1945: : 63iter [00:09,  8.92iter/s]
Best score: 13.1945: : 63iter [00:09,  8.92iter/s]
Best score: 13.1945: : 64iter [00:09,  8.85iter/s]
Best score: 13.1945: : 64iter [00:09,  8.85iter/s]
Best score: 13.1945: : 65iter [00:09,  8.85iter/s]
Best score: 13.1945: : 65iter [00:09,  8.85iter/s]
Best score: 13.1945: : 66iter [00:09,  8.91iter/s]
Best score: 13.1945: : 66iter [00:09,  8.91iter/s]
Best score: 13.1945: : 67iter [00:09,  8.94iter/s]
Best score: 13.1945: : 67iter [00:09,  8.94iter/s]
Best score: 13.1945: : 68iter [00:09,  9.02iter/s]
Best score: 13.1945: : 68iter [00:09,  9.02iter/s]
Best score: 13.1945: : 69iter [00:09,  9.20iter/s]
Best score: 10.8519: : 69iter [00:09,  9.20iter/s]
Best score: 10.8519: : 70iter [00:09,  9.04iter/s]
Best score: 10.8519: : 70iter [00:09,  9.04iter/s]
Best score: 10.8519: : 71iter [00:09,  9.17iter/s]
Best score: 10.8519: : 71iter [00:10,  9.17iter/s]
Best score: 10.8519: : 72iter [00:10,  9.16iter/s]
Best score: 10.8519: : 72iter [00:10,  9.16iter/s]
Best score: 10.8519: : 73iter [00:10,  9.00iter/s]
Best score: 10.8519: : 73iter [00:10,  9.00iter/s]
Best score: 10.8519: : 74iter [00:10,  8.97iter/s]
Best score: 10.8519: : 74iter [00:10,  8.97iter/s]
Best score: 10.8519: : 75iter [00:10,  9.09iter/s]
Best score: 10.8519: : 75iter [00:10,  9.09iter/s]
Best score: 10.8519: : 76iter [00:10,  9.11iter/s]
Best score: 10.8519: : 76iter [00:10,  9.11iter/s]
Best score: 10.8519: : 77iter [00:10,  9.00iter/s]
Best score: 10.8519: : 77iter [00:10,  9.00iter/s]
Best score: 10.8519: : 78iter [00:10,  9.16iter/s]
Best score: 10.8519: : 78iter [00:10,  9.16iter/s]
Best score: 10.8519: : 79iter [00:10,  9.14iter/s]
Best score: 9.6375: : 79iter [00:10,  9.14iter/s] 
Best score: 9.6375: : 80iter [00:10,  8.99iter/s]
Best score: 9.6375: : 80iter [00:11,  8.99iter/s]
Best score: 9.6375: : 81iter [00:11,  9.18iter/s]
Best score: 9.6375: : 81iter [00:11,  9.18iter/s]
Best score: 9.6375: : 82iter [00:11,  9.31iter/s]
Best score: 9.6375: : 82iter [00:11,  9.31iter/s]
Best score: 9.6375: : 83iter [00:11,  9.35iter/s]
Best score: 9.6375: : 83iter [00:11,  9.35iter/s]
Best score: 9.6375: : 84iter [00:11,  9.30iter/s]
Best score: 9.6375: : 84iter [00:11,  9.30iter/s]
Best score: 9.6375: : 85iter [00:11,  9.17iter/s]
Best score: 9.6375: : 85iter [00:11,  9.17iter/s]
Best score: 9.6375: : 86iter [00:11,  9.08iter/s]
Best score: 9.6375: : 86iter [00:11,  9.08iter/s]
Best score: 9.6375: : 87iter [00:11,  8.87iter/s]
Best score: 9.6375: : 87iter [00:11,  8.87iter/s]
Best score: 9.6375: : 88iter [00:11,  8.74iter/s]
Best score: 9.6375: : 88iter [00:11,  8.74iter/s]
Best score: 9.6375: : 89iter [00:11,  8.89iter/s]
Best score: 6.4976: : 89iter [00:12,  8.89iter/s]
Best score: 6.4976: : 90iter [00:12,  8.72iter/s]
Best score: 6.4976: : 90iter [00:12,  8.72iter/s]
Best score: 6.4976: : 91iter [00:12,  8.96iter/s]
Best score: 6.4976: : 91iter [00:12,  8.96iter/s]
Best score: 6.4976: : 92iter [00:12,  9.10iter/s]
Best score: 6.4976: : 92iter [00:12,  9.10iter/s]
Best score: 6.4976: : 93iter [00:12,  9.04iter/s]
Best score: 6.4976: : 93iter [00:12,  9.04iter/s]
Best score: 6.4976: : 94iter [00:12,  8.96iter/s]
Best score: 6.4976: : 94iter [00:12,  8.96iter/s]
Best score: 6.4976: : 95iter [00:12,  8.91iter/s]
Best score: 6.4976: : 95iter [00:12,  8.91iter/s]
Best score: 6.4976: : 96iter [00:12,  9.05iter/s]
Best score: 6.4976: : 96iter [00:12,  9.05iter/s]
Best score: 6.4976: : 97iter [00:12,  9.08iter/s]
Best score: 6.4976: : 97iter [00:12,  9.08iter/s]
Best score: 6.4976: : 98iter [00:12,  9.15iter/s]
Best score: 6.4976: : 98iter [00:13,  9.15iter/s]
Best score: 6.4976: : 99iter [00:13,  9.18iter/s]
[ITER 100] Best: 6.4976
[PARAMS] Current best parameters:
  fx: 504.1536
  fy: 503.3107
  px: 1022.5820
  py: 718.6709
  k1: -0.00047097
  k2: 0.04668394
  k3: -0.02980448
  k4: 0.00601463
  p1: 0.01183893
  p2: -0.00576317
  p3: -0.00370979
  p4: 0.01292808
  s1: 0.0010
  s2: -0.0046
  s3: -0.0038
  s4: -0.0117
  tilt_x: -0.0507
  tilt_y: -0.0420
  scale: 3.0784
  rotation: -0.8766

Best score: 6.4976: : 99iter [00:13,  9.18iter/s]
Best score: 6.4976: : 100iter [00:13,  8.82iter/s]
Best score: 6.4976: : 100iter [00:13,  8.82iter/s]
Best score: 6.4976: : 101iter [00:13,  6.74iter/s]
Best score: 6.4976: : 101iter [00:13,  6.74iter/s]
Best score: 6.4976: : 102iter [00:13,  7.19iter/s]
Best score: 6.4976: : 102iter [00:13,  7.19iter/s]
Best score: 6.4976: : 103iter [00:13,  7.51iter/s]
Best score: 6.4976: : 103iter [00:13,  7.51iter/s]
Best score: 6.4976: : 104iter [00:13,  7.87iter/s]
Best score: 6.4976: : 104iter [00:13,  7.87iter/s]
Best score: 6.4976: : 105iter [00:13,  8.08iter/s]
Best score: 6.4976: : 105iter [00:13,  8.08iter/s]
Best score: 6.4976: : 106iter [00:13,  8.32iter/s]
Best score: 6.4976: : 106iter [00:14,  8.32iter/s]
Best score: 6.4976: : 107iter [00:14,  8.68iter/s]
Best score: 6.4976: : 107iter [00:14,  8.68iter/s]
Best score: 6.4976: : 108iter [00:14,  8.61iter/s]
Best score: 6.4976: : 108iter [00:14,  8.61iter/s]
Best score: 6.4976: : 109iter [00:14,  8.54iter/s]
Best score: 6.4976: : 109iter [00:14,  8.54iter/s]
Best score: 6.4976: : 110iter [00:14,  8.48iter/s]
Best score: 6.4976: : 110iter [00:14,  8.48iter/s]
Best score: 6.4976: : 111iter [00:14,  8.71iter/s]
Best score: 6.4976: : 111iter [00:14,  8.71iter/s]
Best score: 6.4976: : 112iter [00:14,  8.73iter/s]
Best score: 6.4976: : 112iter [00:14,  8.73iter/s]
Best score: 6.4976: : 113iter [00:14,  8.69iter/s]
Best score: 6.4976: : 113iter [00:14,  8.69iter/s]
Best score: 6.4976: : 114iter [00:14,  8.94iter/s]
Best score: 6.4976: : 114iter [00:14,  8.94iter/s]
Best score: 6.4976: : 115iter [00:14,  9.11iter/s]
Best score: 6.4976: : 115iter [00:15,  9.11iter/s]
Best score: 6.4976: : 116iter [00:15,  9.19iter/s]
Best score: 6.4976: : 116iter [00:15,  9.19iter/s]
Best score: 6.4976: : 117iter [00:15,  9.34iter/s]
Best score: 6.4976: : 117iter [00:15,  9.34iter/s]
Best score: 6.4976: : 118iter [00:15,  9.45iter/s]
Best score: 6.4976: : 118iter [00:15,  9.45iter/s]
Best score: 6.4976: : 119iter [00:15,  9.49iter/s]
Best score: 6.4976: : 119iter [00:15,  9.49iter/s]
Best score: 6.4976: : 120iter [00:15,  9.02iter/s]
Best score: 6.4976: : 120iter [00:15,  9.02iter/s]
Best score: 6.4976: : 121iter [00:15,  9.08iter/s]
Best score: 6.4976: : 121iter [00:15,  9.08iter/s]
Best score: 6.4976: : 122iter [00:15,  9.04iter/s]
Best score: 6.4976: : 122iter [00:15,  9.04iter/s]
Best score: 6.4976: : 123iter [00:15,  9.05iter/s]
Best score: 6.4976: : 123iter [00:15,  9.05iter/s]
Best score: 6.4976: : 124iter [00:15,  9.06iter/s]
Best score: 6.4976: : 124iter [00:16,  9.06iter/s]
Best score: 6.4976: : 125iter [00:16,  9.06iter/s]
Best score: 6.4976: : 125iter [00:16,  9.06iter/s]
Best score: 6.4976: : 126iter [00:16,  8.99iter/s]
Best score: 6.4976: : 126iter [00:16,  8.99iter/s]
Best score: 6.4976: : 127iter [00:16,  9.02iter/s]
Best score: 6.4976: : 127iter [00:16,  9.02iter/s]
Best score: 6.4976: : 128iter [00:16,  8.96iter/s]
Best score: 6.4976: : 128iter [00:16,  8.96iter/s]
Best score: 6.4976: : 129iter [00:16,  9.14iter/s]
Best score: 6.4976: : 129iter [00:16,  9.14iter/s]
Best score: 6.4976: : 130iter [00:16,  8.95iter/s]
Best score: 6.4976: : 130iter [00:16,  8.95iter/s]
Best score: 6.4976: : 131iter [00:16,  9.07iter/s]
Best score: 6.4976: : 131iter [00:16,  9.07iter/s]
Best score: 6.4976: : 132iter [00:16,  9.28iter/s]
Best score: 6.4976: : 132iter [00:16,  9.28iter/s]
Best score: 6.4976: : 133iter [00:16,  9.34iter/s]
Best score: 6.4976: : 133iter [00:17,  9.34iter/s]
Best score: 6.4976: : 134iter [00:17,  9.34iter/s]
Best score: 6.4976: : 135iter [00:17,  9.74iter/s]
Best score: 6.4976: : 135iter [00:17,  9.74iter/s]
Best score: 6.4976: : 136iter [00:17,  9.74iter/s]
Best score: 6.4976: : 137iter [00:17,  9.85iter/s]
Best score: 6.4976: : 137iter [00:17,  9.85iter/s]
Best score: 6.4976: : 138iter [00:17,  9.80iter/s]
Best score: 6.4976: : 138iter [00:17,  9.80iter/s]
Best score: 6.4976: : 139iter [00:17,  9.80iter/s]
Best score: 6.4976: : 140iter [00:17,  9.62iter/s]
Best score: 6.4976: : 140iter [00:17,  9.62iter/s]
Best score: 6.4976: : 141iter [00:17,  9.45iter/s]
Best score: 6.4976: : 141iter [00:17,  9.45iter/s]
Best score: 6.4976: : 142iter [00:17,  9.15iter/s]
Best score: 6.4976: : 142iter [00:17,  9.15iter/s]
Best score: 6.4976: : 143iter [00:17,  9.22iter/s]
Best score: 6.4976: : 143iter [00:18,  9.22iter/s]
Best score: 6.4976: : 144iter [00:18,  9.31iter/s]
Best score: 6.4976: : 144iter [00:18,  9.31iter/s]
Best score: 6.4976: : 145iter [00:18,  9.31iter/s]
Best score: 6.4976: : 146iter [00:18,  9.62iter/s]
Best score: 6.4976: : 146iter [00:18,  9.62iter/s]
Best score: 6.4976: : 147iter [00:18,  9.54iter/s]
Best score: 6.4976: : 147iter [00:18,  9.54iter/s]
Best score: 6.4976: : 148iter [00:18,  9.51iter/s]
Best score: 6.4976: : 148iter [00:18,  9.51iter/s]
[ITER 150] Best: 6.4976
[PARAMS] Current best parameters:
  fx: 504.1536
  fy: 503.3107
  px: 1022.5820
  py: 718.6709
  k1: -0.00047097
  k2: 0.04668394
  k3: -0.02980448
  k4: 0.00601463
  p1: 0.01183893
  p2: -0.00576317
  p3: -0.00370979
  p4: 0.01292808
  s1: 0.0010
  s2: -0.0046
  s3: -0.0038
  s4: -0.0117
  tilt_x: -0.0507
  tilt_y: -0.0420
  scale: 3.0784
  rotation: -0.8766

Best score: 6.4976: : 149iter [00:18,  9.51iter/s]
Best score: 6.4976: : 150iter [00:18,  9.56iter/s]
Best score: 6.4976: : 150iter [00:19,  9.56iter/s]
Best score: 6.4976: : 151iter [00:19,  5.63iter/s]
Best score: 6.4976: : 151iter [00:19,  5.63iter/s]
Best score: 6.4976: : 152iter [00:19,  5.63iter/s]
Best score: 6.4976: : 153iter [00:19,  6.84iter/s]
Best score: 6.4976: : 153iter [00:19,  6.84iter/s]
Best score: 6.4976: : 154iter [00:19,  6.84iter/s]
Best score: 6.4976: : 155iter [00:19,  7.68iter/s]
Best score: 6.4976: : 155iter [00:19,  7.68iter/s]
Best score: 6.4976: : 156iter [00:19,  7.97iter/s]
Best score: 6.4976: : 156iter [00:19,  7.97iter/s]
Best score: 6.4976: : 157iter [00:19,  8.35iter/s]
Best score: 6.4976: : 157iter [00:19,  8.35iter/s]
Best score: 6.4976: : 158iter [00:19,  8.35iter/s]
Best score: 6.4976: : 159iter [00:19,  9.04iter/s]
Best score: 6.4976: : 159iter [00:20,  9.04iter/s]
Best score: 6.4976: : 160iter [00:20,  9.10iter/s]
Best score: 6.4976: : 160iter [00:20,  9.10iter/s]
Best score: 6.4976: : 161iter [00:20,  9.27iter/s]
Best score: 6.4976: : 161iter [00:20,  9.27iter/s]
Best score: 6.4976: : 162iter [00:20,  9.33iter/s]
Best score: 6.4976: : 162iter [00:20,  9.33iter/s]
Best score: 6.4976: : 163iter [00:20,  9.33iter/s]
Best score: 6.4976: : 164iter [00:20,  9.54iter/s]
Best score: 6.4976: : 164iter [00:20,  9.54iter/s]
Best score: 6.4976: : 165iter [00:20,  9.43iter/s]
Best score: 6.4976: : 165iter [00:20,  9.43iter/s]
Best score: 6.4976: : 166iter [00:20,  9.33iter/s]
Best score: 6.4976: : 166iter [00:20,  9.33iter/s]
Best score: 6.4976: : 167iter [00:20,  9.29iter/s]
Best score: 6.4976: : 167iter [00:20,  9.29iter/s]
Best score: 6.4976: : 168iter [00:20,  9.22iter/s]
Best score: 6.4976: : 168iter [00:20,  9.22iter/s]
Best score: 6.4976: : 169iter [00:20,  9.32iter/s]
Best score: 3.4189: : 169iter [00:21,  9.32iter/s]
Best score: 3.4189: : 170iter [00:21,  9.22iter/s]
Best score: 3.4189: : 170iter [00:21,  9.22iter/s]
Best score: 3.4189: : 171iter [00:21,  9.42iter/s]
Best score: 3.4189: : 171iter [00:21,  9.42iter/s]
Best score: 3.4189: : 172iter [00:21,  9.42iter/s]
Best score: 3.4189: : 173iter [00:21,  9.63iter/s]
Best score: 3.4189: : 173iter [00:21,  9.63iter/s]
Best score: 3.4189: : 174iter [00:21,  9.63iter/s]
Best score: 3.4189: : 175iter [00:21,  9.94iter/s]
Best score: 3.4189: : 175iter [00:21,  9.94iter/s]
Best score: 3.4189: : 176iter [00:21,  9.94iter/s]
Best score: 3.4189: : 177iter [00:21, 10.16iter/s]
Best score: 3.4189: : 177iter [00:21, 10.16iter/s]
Best score: 3.4189: : 178iter [00:21, 10.16iter/s]
Best score: 3.4189: : 179iter [00:21, 10.25iter/s]
Best score: 3.4189: : 179iter [00:22, 10.25iter/s]
Best score: 3.4189: : 180iter [00:22, 10.25iter/s]
Best score: 3.4189: : 181iter [00:22, 10.08iter/s]
Best score: 3.4189: : 181iter [00:22, 10.08iter/s]
Best score: 3.4189: : 182iter [00:22, 10.08iter/s]
Best score: 3.4189: : 183iter [00:22, 10.21iter/s]
Best score: 3.4189: : 183iter [00:22, 10.21iter/s]
Best score: 3.4189: : 184iter [00:22, 10.21iter/s]
Best score: 3.4189: : 185iter [00:22, 10.18iter/s]
Best score: 3.4189: : 185iter [00:22, 10.18iter/s]
Best score: 3.4189: : 186iter [00:22, 10.18iter/s]
Best score: 3.4189: : 187iter [00:22, 10.12iter/s]
Best score: 3.4189: : 187iter [00:22, 10.12iter/s]
Best score: 3.4189: : 188iter [00:22, 10.12iter/s]
Best score: 3.4189: : 189iter [00:22, 10.20iter/s]
Best score: 2.2031: : 189iter [00:23, 10.20iter/s]
Best score: 2.2031: : 190iter [00:23, 10.20iter/s]
Best score: 2.2031: : 191iter [00:23, 10.05iter/s]
Best score: 2.2031: : 191iter [00:23, 10.05iter/s]
Best score: 2.2031: : 192iter [00:23, 10.05iter/s]
Best score: 2.2031: : 193iter [00:23, 10.14iter/s]
Best score: 2.2031: : 193iter [00:23, 10.14iter/s]
Best score: 2.2031: : 194iter [00:23, 10.14iter/s]
Best score: 2.2031: : 195iter [00:23, 10.43iter/s]
Best score: 2.2031: : 195iter [00:23, 10.43iter/s]
Best score: 2.2031: : 196iter [00:23, 10.43iter/s]
Best score: 2.2031: : 197iter [00:23, 10.60iter/s]
Best score: 2.2031: : 197iter [00:23, 10.60iter/s]
Best score: 2.2031: : 198iter [00:23, 10.60iter/s]
Best score: 2.2031: : 199iter [00:23, 10.48iter/s]
[ITER 200] Best: 1.7952
[PARAMS] Current best parameters:
  fx: 498.0733
  fy: 496.6346
  px: 1020.5223
  py: 723.0526
  k1: -0.00741864
  k2: 0.06224342
  k3: -0.03682835
  k4: 0.00720172
  p1: 0.01244529
  p2: -0.00727977
  p3: -0.00703232
  p4: 0.00808044
  s1: 0.0139
  s2: -0.0028
  s3: -0.0124
  s4: -0.0021
  tilt_x: -0.0377
  tilt_y: -0.0409
  scale: 3.0997
  rotation: -0.3220

Best score: 1.7952: : 199iter [00:24, 10.48iter/s]
Best score: 1.7952: : 200iter [00:24, 10.48iter/s]
Best score: 1.7952: : 201iter [00:24,  6.94iter/s]
Best score: 1.7952: : 201iter [00:24,  6.94iter/s]
Best score: 1.7952: : 202iter [00:24,  6.94iter/s]
Best score: 1.7952: : 203iter [00:24,  7.70iter/s]
Best score: 1.7952: : 203iter [00:24,  7.70iter/s]
Best score: 1.7952: : 204iter [00:24,  7.70iter/s]
Best score: 1.7952: : 205iter [00:24,  8.25iter/s]
Best score: 1.7952: : 205iter [00:24,  8.25iter/s]
Best score: 1.7952: : 206iter [00:25,  8.25iter/s]
Best score: 1.7952: : 207iter [00:25,  8.71iter/s]
Best score: 1.7952: : 207iter [00:25,  8.71iter/s]
Best score: 1.7952: : 208iter [00:25,  8.71iter/s]
Best score: 1.7952: : 209iter [00:25,  9.12iter/s]
Best score: 1.3679: : 209iter [00:25,  9.12iter/s]
Best score: 1.3679: : 210iter [00:25,  9.12iter/s]
Best score: 1.3679: : 210iter [00:25,  9.12iter/s]
Best score: 1.3679: : 211iter [00:25,  9.27iter/s]
Best score: 1.3679: : 211iter [00:25,  9.27iter/s]
Best score: 1.3679: : 212iter [00:25,  9.27iter/s]
Best score: 1.3679: : 213iter [00:25,  9.63iter/s]
Best score: 1.3679: : 213iter [00:25,  9.63iter/s]
Best score: 1.3679: : 214iter [00:25,  9.63iter/s]
Best score: 1.3679: : 215iter [00:25,  9.76iter/s]
Best score: 1.3679: : 215iter [00:25,  9.76iter/s]
Best score: 1.3679: : 216iter [00:26,  9.76iter/s]
Best score: 1.3679: : 217iter [00:26,  9.92iter/s]
Best score: 1.3679: : 217iter [00:26,  9.92iter/s]
Best score: 1.3679: : 218iter [00:26,  9.92iter/s]
Best score: 1.3679: : 219iter [00:26, 10.07iter/s]
Best score: 1.0761: : 219iter [00:26, 10.07iter/s]
Best score: 1.0761: : 220iter [00:26, 10.07iter/s]
Best score: 1.0761: : 221iter [00:26,  9.74iter/s]
Best score: 1.0761: : 221iter [00:26,  9.74iter/s]
Best score: 1.0761: : 222iter [00:26,  9.74iter/s]
Best score: 1.0761: : 223iter [00:26,  9.76iter/s]
Best score: 1.0761: : 223iter [00:26,  9.76iter/s]
Best score: 1.0761: : 224iter [00:26,  9.76iter/s]
Best score: 1.0761: : 225iter [00:26,  9.97iter/s]
Best score: 1.0761: : 225iter [00:26,  9.97iter/s]
Best score: 1.0761: : 226iter [00:27,  9.97iter/s]
Best score: 1.0761: : 227iter [00:27, 10.11iter/s]
Best score: 1.0761: : 227iter [00:27, 10.11iter/s]
Best score: 1.0761: : 228iter [00:27, 10.11iter/s]
Best score: 1.0761: : 229iter [00:27, 10.16iter/s]
Best score: 1.0761: : 229iter [00:27, 10.16iter/s]
Best score: 1.0761: : 230iter [00:27, 10.16iter/s]
Best score: 1.0761: : 231iter [00:27, 10.07iter/s]
Best score: 1.0761: : 231iter [00:27, 10.07iter/s]
Best score: 1.0761: : 232iter [00:27, 10.07iter/s]
Best score: 1.0761: : 233iter [00:27, 10.25iter/s]
Best score: 1.0761: : 233iter [00:27, 10.25iter/s]
Best score: 1.0761: : 234iter [00:27, 10.25iter/s]
Best score: 1.0761: : 235iter [00:27, 10.39iter/s]
Best score: 1.0761: : 235iter [00:27, 10.39iter/s]
Best score: 1.0761: : 236iter [00:27, 10.39iter/s]
Best score: 1.0761: : 237iter [00:27, 10.53iter/s]
Best score: 1.0761: : 237iter [00:28, 10.53iter/s]
Best score: 1.0761: : 238iter [00:28, 10.53iter/s]
Best score: 1.0761: : 239iter [00:28, 10.44iter/s]
Best score: 0.8455: : 239iter [00:28, 10.44iter/s]
Best score: 0.8455: : 240iter [00:28, 10.44iter/s]
Best score: 0.8455: : 241iter [00:28, 10.05iter/s]
Best score: 0.8455: : 241iter [00:28, 10.05iter/s]
Best score: 0.8455: : 242iter [00:28, 10.05iter/s]
Best score: 0.8455: : 243iter [00:28, 10.09iter/s]
Best score: 0.8455: : 243iter [00:28, 10.09iter/s]
Best score: 0.8455: : 244iter [00:28, 10.09iter/s]
Best score: 0.8455: : 245iter [00:28, 10.14iter/s]
Best score: 0.8455: : 245iter [00:28, 10.14iter/s]
Best score: 0.8455: : 246iter [00:28, 10.14iter/s]
Best score: 0.8455: : 247iter [00:28,  9.93iter/s]
Best score: 0.8455: : 247iter [00:29,  9.93iter/s]
Best score: 0.8455: : 248iter [00:29,  9.74iter/s]
Best score: 0.8455: : 248iter [00:29,  9.74iter/s]
Best score: 0.8455: : 249iter [00:29,  9.77iter/s]
[ITER 250] Best: 0.6516
[PARAMS] Current best parameters:
  fx: 499.6725
  fy: 499.4076
  px: 1016.5151
  py: 722.3338
  k1: -0.00672604
  k2: 0.05505053
  k3: -0.02593502
  k4: 0.00299484
  p1: 0.01048684
  p2: -0.01212102
  p3: 0.00240933
  p4: 0.00274409
  s1: 0.0205
  s2: -0.0064
  s3: -0.0230
  s4: 0.0026
  tilt_x: -0.0320
  tilt_y: -0.0351
  scale: 3.0681
  rotation: -0.2846

Best score: 0.6516: : 249iter [00:29,  9.77iter/s]
Best score: 0.6516: : 250iter [00:29,  9.63iter/s]
Best score: 0.6516: : 250iter [00:29,  9.63iter/s]
Best score: 0.6516: : 251iter [00:29,  5.66iter/s]
Best score: 0.6516: : 251iter [00:29,  5.66iter/s]
Best score: 0.6516: : 252iter [00:29,  5.66iter/s]
Best score: 0.6516: : 253iter [00:29,  6.98iter/s]
Best score: 0.6516: : 253iter [00:29,  6.98iter/s]
Best score: 0.6516: : 254iter [00:30,  6.98iter/s]
Best score: 0.6516: : 255iter [00:30,  7.95iter/s]
Best score: 0.6516: : 255iter [00:30,  7.95iter/s]
Best score: 0.6516: : 256iter [00:30,  7.95iter/s]
Best score: 0.6516: : 257iter [00:30,  8.71iter/s]
Best score: 0.6516: : 257iter [00:30,  8.71iter/s]
Best score: 0.6516: : 258iter [00:30,  8.71iter/s]
Best score: 0.6516: : 259iter [00:30,  9.07iter/s]
Best score: 0.4356: : 259iter [00:30,  9.07iter/s]
Best score: 0.4356: : 260iter [00:30,  9.06iter/s]
Best score: 0.4356: : 260iter [00:30,  9.06iter/s]
Best score: 0.4356: : 261iter [00:30,  9.06iter/s]
Best score: 0.4356: : 262iter [00:30,  9.45iter/s]
Best score: 0.4356: : 262iter [00:30,  9.45iter/s]
Best score: 0.4356: : 263iter [00:30,  9.45iter/s]
Best score: 0.4356: : 264iter [00:30,  9.80iter/s]
Best score: 0.4356: : 264iter [00:31,  9.80iter/s]
Best score: 0.4356: : 265iter [00:31,  9.80iter/s]
Best score: 0.4356: : 266iter [00:31,  9.99iter/s]
Best score: 0.4356: : 266iter [00:31,  9.99iter/s]
Best score: 0.4356: : 267iter [00:31,  9.99iter/s]
Best score: 0.4356: : 268iter [00:31, 10.14iter/s]
Best score: 0.4356: : 268iter [00:31, 10.14iter/s]
Best score: 0.4356: : 269iter [00:31, 10.14iter/s]
Best score: 0.4356: : 270iter [00:31,  7.73iter/s]
Best score: 0.4356: : 270iter [00:31,  7.73iter/s]
Best score: 0.4356: : 271iter [00:31,  7.73iter/s]
Best score: 0.4356: : 272iter [00:31,  8.44iter/s]
Best score: 0.4356: : 272iter [00:32,  8.44iter/s]
Best score: 0.4356: : 273iter [00:32,  8.44iter/s]
Best score: 0.4356: : 274iter [00:32,  9.12iter/s]
Best score: 0.4356: : 274iter [00:32,  9.12iter/s]
Best score: 0.4356: : 275iter [00:32,  9.12iter/s]
Best score: 0.4356: : 276iter [00:32,  9.38iter/s]
Best score: 0.4356: : 276iter [00:32,  9.38iter/s]
Best score: 0.4356: : 277iter [00:32,  9.41iter/s]
Best score: 0.4356: : 277iter [00:32,  9.41iter/s]
Best score: 0.4356: : 278iter [00:32,  9.41iter/s]
Best score: 0.4356: : 279iter [00:32,  9.60iter/s]
Best score: 0.3640: : 279iter [00:32,  9.60iter/s]
Best score: 0.3640: : 280iter [00:32,  9.33iter/s]
Best score: 0.3640: : 280iter [00:32,  9.33iter/s]
Best score: 0.3640: : 281iter [00:32,  9.34iter/s]
Best score: 0.3640: : 281iter [00:32,  9.34iter/s]
Best score: 0.3640: : 282iter [00:32,  9.35iter/s]
Best score: 0.3640: : 282iter [00:33,  9.35iter/s]
Best score: 0.3640: : 283iter [00:33,  9.36iter/s]
Best score: 0.3640: : 283iter [00:33,  9.36iter/s]
Best score: 0.3640: : 284iter [00:33,  9.32iter/s]
Best score: 0.3640: : 284iter [00:33,  9.32iter/s]
Best score: 0.3640: : 285iter [00:33,  9.26iter/s]
Best score: 0.3640: : 285iter [00:33,  9.26iter/s]
Best score: 0.3640: : 286iter [00:33,  9.43iter/s]
Best score: 0.3640: : 286iter [00:33,  9.43iter/s]
Best score: 0.3640: : 287iter [00:33,  9.42iter/s]
Best score: 0.3640: : 287iter [00:33,  9.42iter/s]
Best score: 0.3640: : 288iter [00:33,  9.53iter/s]
Best score: 0.3640: : 288iter [00:33,  9.53iter/s]
Best score: 0.3640: : 289iter [00:33,  9.37iter/s]
Best score: 0.3640: : 289iter [00:33,  9.37iter/s]
Best score: 0.3640: : 290iter [00:33,  9.28iter/s]
Best score: 0.3640: : 290iter [00:33,  9.28iter/s]
Best score: 0.3640: : 291iter [00:34,  9.28iter/s]
Best score: 0.3640: : 292iter [00:34,  9.65iter/s]
Best score: 0.3640: : 292iter [00:34,  9.65iter/s]
Best score: 0.3640: : 293iter [00:34,  9.56iter/s]
Best score: 0.3640: : 293iter [00:34,  9.56iter/s]
Best score: 0.3640: : 294iter [00:34,  9.59iter/s]
Best score: 0.3640: : 294iter [00:34,  9.59iter/s]
Best score: 0.3640: : 295iter [00:34,  9.43iter/s]
Best score: 0.3640: : 295iter [00:34,  9.43iter/s]
Best score: 0.3640: : 296iter [00:34,  9.48iter/s]
Best score: 0.3640: : 296iter [00:34,  9.48iter/s]
Best score: 0.3640: : 297iter [00:34,  9.48iter/s]
Best score: 0.3640: : 298iter [00:34,  9.85iter/s]
Best score: 0.3640: : 298iter [00:34,  9.85iter/s]
[ITER 300] Best: 0.3441
[PARAMS] Current best parameters:
  fx: 501.9951
  fy: 501.3777
  px: 1017.1421
  py: 720.7843
  k1: 0.00490205
  k2: 0.05344099
  k3: -0.03733978
  k4: 0.00783651
  p1: 0.00905620
  p2: -0.00589885
  p3: 0.00519125
  p4: 0.00492769
  s1: 0.0112
  s2: -0.0074
  s3: -0.0187
  s4: -0.0021
  tilt_x: -0.0347
  tilt_y: -0.0226
  scale: 3.0339
  rotation: -0.2510

Best score: 0.3441: : 299iter [00:34,  9.85iter/s]
Best score: 0.3441: : 300iter [00:34,  9.70iter/s]
Best score: 0.3441: : 300iter [00:35,  9.70iter/s]
Best score: 0.3441: : 301iter [00:35,  5.85iter/s]
Best score: 0.3441: : 301iter [00:35,  5.85iter/s]
Best score: 0.3441: : 302iter [00:35,  5.85iter/s]
Best score: 0.3441: : 303iter [00:35,  6.97iter/s]
Best score: 0.3441: : 303iter [00:35,  6.97iter/s]
Best score: 0.3441: : 304iter [00:35,  7.37iter/s]
Best score: 0.3441: : 304iter [00:35,  7.37iter/s]
Best score: 0.3441: : 305iter [00:35,  7.37iter/s]
Best score: 0.3441: : 306iter [00:35,  8.28iter/s]
Best score: 0.3441: : 306iter [00:35,  8.28iter/s]
Best score: 0.3441: : 307iter [00:35,  8.28iter/s]
Best score: 0.3441: : 308iter [00:35,  8.88iter/s]
Best score: 0.3441: : 308iter [00:36,  8.88iter/s]
Best score: 0.3246: : 309iter [00:36,  8.88iter/s]
Best score: 0.3246: : 310iter [00:36,  9.17iter/s]
Best score: 0.3246: : 310iter [00:36,  9.17iter/s]
Best score: 0.3246: : 311iter [00:36,  9.17iter/s]
Best score: 0.3246: : 312iter [00:36,  9.40iter/s]
Best score: 0.3246: : 312iter [00:36,  9.40iter/s]
Best score: 0.3246: : 313iter [00:36,  9.24iter/s]
Best score: 0.3246: : 313iter [00:36,  9.24iter/s]
Best score: 0.3246: : 314iter [00:36,  9.31iter/s]
Best score: 0.3246: : 314iter [00:36,  9.31iter/s]
Best score: 0.3246: : 315iter [00:36,  9.43iter/s]
Best score: 0.3246: : 315iter [00:36,  9.43iter/s]
Best score: 0.3246: : 316iter [00:36,  9.55iter/s]
Best score: 0.3246: : 316iter [00:36,  9.55iter/s]
Best score: 0.3246: : 317iter [00:36,  9.55iter/s]
Best score: 0.3246: : 318iter [00:36,  9.79iter/s]
Best score: 0.3246: : 318iter [00:37,  9.79iter/s]
Best score: 0.2804: : 319iter [00:37,  9.79iter/s]
Best score: 0.2804: : 320iter [00:37,  9.72iter/s]
Best score: 0.2804: : 320iter [00:37,  9.72iter/s]
Best score: 0.2804: : 321iter [00:37,  9.72iter/s]
Best score: 0.2804: : 322iter [00:37,  9.96iter/s]
Best score: 0.2804: : 322iter [00:37,  9.96iter/s]
Best score: 0.2804: : 323iter [00:37,  9.89iter/s]
Best score: 0.2804: : 323iter [00:37,  9.89iter/s]
Best score: 0.2804: : 324iter [00:37,  9.91iter/s]
Best score: 0.2804: : 324iter [00:37,  9.91iter/s]
Best score: 0.2804: : 325iter [00:37,  9.91iter/s]
Best score: 0.2804: : 326iter [00:37, 10.01iter/s]
Best score: 0.2804: : 326iter [00:37, 10.01iter/s]
Best score: 0.2804: : 327iter [00:37,  9.89iter/s]
Best score: 0.2804: : 327iter [00:37,  9.89iter/s]
Best score: 0.2804: : 328iter [00:37,  9.78iter/s]
Best score: 0.2804: : 328iter [00:38,  9.78iter/s]
Best score: 0.2804: : 329iter [00:38,  9.80iter/s]
Best score: 0.2692: : 329iter [00:38,  9.80iter/s]
Best score: 0.2692: : 330iter [00:38,  9.37iter/s]
Best score: 0.2692: : 330iter [00:38,  9.37iter/s]
Best score: 0.2692: : 331iter [00:38,  9.40iter/s]
Best score: 0.2692: : 331iter [00:38,  9.40iter/s]
Best score: 0.2692: : 332iter [00:38,  9.31iter/s]
Best score: 0.2692: : 332iter [00:38,  9.31iter/s]
Best score: 0.2692: : 333iter [00:38,  9.29iter/s]
Best score: 0.2692: : 333iter [00:38,  9.29iter/s]
Best score: 0.2692: : 334iter [00:38,  9.13iter/s]
Best score: 0.2692: : 334iter [00:38,  9.13iter/s]
Best score: 0.2692: : 335iter [00:38,  9.19iter/s]
Best score: 0.2692: : 335iter [00:38,  9.19iter/s]
Best score: 0.2692: : 336iter [00:38,  9.19iter/s]
Best score: 0.2692: : 337iter [00:38,  9.64iter/s]
Best score: 0.2692: : 337iter [00:39,  9.64iter/s]
Best score: 0.2692: : 338iter [00:39,  9.64iter/s]
Best score: 0.2692: : 339iter [00:39,  9.94iter/s]
Best score: 0.2602: : 339iter [00:39,  9.94iter/s]
Best score: 0.2602: : 340iter [00:39,  9.83iter/s]
Best score: 0.2602: : 340iter [00:39,  9.83iter/s]
Best score: 0.2602: : 341iter [00:39,  9.80iter/s]
Best score: 0.2602: : 341iter [00:39,  9.80iter/s]
Best score: 0.2602: : 342iter [00:39,  9.83iter/s]
Best score: 0.2602: : 342iter [00:39,  9.83iter/s]
Best score: 0.2602: : 343iter [00:39,  9.83iter/s]
Best score: 0.2602: : 344iter [00:39,  9.89iter/s]
Best score: 0.2602: : 344iter [00:39,  9.89iter/s]
Best score: 0.2602: : 345iter [00:39,  9.84iter/s]
Best score: 0.2602: : 345iter [00:39,  9.84iter/s]
Best score: 0.2602: : 346iter [00:39,  9.79iter/s]
Best score: 0.2602: : 346iter [00:39,  9.79iter/s]
Best score: 0.2602: : 347iter [00:39,  9.71iter/s]
Best score: 0.2602: : 347iter [00:40,  9.71iter/s]
Best score: 0.2602: : 348iter [00:40,  9.67iter/s]
Best score: 0.2602: : 348iter [00:40,  9.67iter/s]
Best score: 0.2602: : 349iter [00:40,  9.62iter/s]
[ITER 350] Best: 0.2602
[PARAMS] Current best parameters:
  fx: 506.6307
  fy: 506.4521
  px: 1012.3176
  py: 714.2827
  k1: -0.01222240
  k2: 0.07394578
  k3: -0.04995194
  k4: 0.01063656
  p1: -0.00233194
  p2: -0.00846865
  p3: 0.00202626
  p4: 0.00641625
  s1: 0.0070
  s2: -0.0071
  s3: -0.0107
  s4: -0.0041
  tilt_x: -0.0424
  tilt_y: -0.0093
  scale: 3.0411
  rotation: -0.2957

Best score: 0.2602: : 349iter [00:40,  9.62iter/s]
Best score: 0.2602: : 350iter [00:40,  9.24iter/s]
Best score: 0.2602: : 350iter [00:40,  9.24iter/s]
Best score: 0.2602: : 351iter [00:40,  5.08iter/s]
Best score: 0.2602: : 351iter [00:40,  5.08iter/s]
Best score: 0.2602: : 352iter [00:40,  5.90iter/s]
Best score: 0.2602: : 352iter [00:40,  5.90iter/s]
Best score: 0.2602: : 353iter [00:41,  5.90iter/s]
Best score: 0.2602: : 354iter [00:41,  7.25iter/s]
Best score: 0.2602: : 354iter [00:41,  7.25iter/s]
Best score: 0.2602: : 355iter [00:41,  7.73iter/s]
Best score: 0.2602: : 355iter [00:41,  7.73iter/s]
Best score: 0.2602: : 356iter [00:41,  8.18iter/s]
Best score: 0.2602: : 356iter [00:41,  8.18iter/s]
Best score: 0.2602: : 357iter [00:41,  8.49iter/s]
Best score: 0.2602: : 357iter [00:41,  8.49iter/s]
Best score: 0.2602: : 358iter [00:41,  8.73iter/s]
Best score: 0.2602: : 358iter [00:41,  8.73iter/s]
Best score: 0.2602: : 359iter [00:41,  9.00iter/s]
Best score: 0.2602: : 359iter [00:41,  9.00iter/s]
Best score: 0.2602: : 360iter [00:41,  8.83iter/s]
Best score: 0.2602: : 360iter [00:41,  8.83iter/s]
Best score: 0.2602: : 361iter [00:41,  8.96iter/s]
Best score: 0.2602: : 361iter [00:41,  8.96iter/s]
Best score: 0.2602: : 362iter [00:41,  9.05iter/s]
Best score: 0.2602: : 362iter [00:41,  9.05iter/s]
Best score: 0.2602: : 363iter [00:41,  9.26iter/s]
Best score: 0.2602: : 363iter [00:42,  9.26iter/s]
Best score: 0.2602: : 364iter [00:42,  9.44iter/s]
Best score: 0.2602: : 364iter [00:42,  9.44iter/s]
Best score: 0.2602: : 365iter [00:42,  9.33iter/s]
Best score: 0.2602: : 365iter [00:42,  9.33iter/s]
Best score: 0.2602: : 366iter [00:42,  9.43iter/s]
Best score: 0.2602: : 366iter [00:42,  9.43iter/s]
Best score: 0.2602: : 367iter [00:42,  9.32iter/s]
Best score: 0.2602: : 367iter [00:42,  9.32iter/s]
Best score: 0.2602: : 368iter [00:42,  9.35iter/s]
Best score: 0.2602: : 368iter [00:42,  9.35iter/s]
Best score: 0.2602: : 369iter [00:42,  9.31iter/s]
Best score: 0.2602: : 369iter [00:42,  9.31iter/s]
Best score: 0.2602: : 370iter [00:42,  9.05iter/s]
Best score: 0.2602: : 370iter [00:42,  9.05iter/s]
Best score: 0.2602: : 371iter [00:42,  9.25iter/s]
Best score: 0.2602: : 371iter [00:42,  9.25iter/s]
Best score: 0.2602: : 372iter [00:42,  9.18iter/s]
Best score: 0.2602: : 372iter [00:43,  9.18iter/s]
Best score: 0.2602: : 373iter [00:43,  9.24iter/s]
Best score: 0.2602: : 373iter [00:43,  9.24iter/s]
Best score: 0.2602: : 374iter [00:43,  9.36iter/s]
Best score: 0.2602: : 374iter [00:43,  9.36iter/s]
Best score: 0.2602: : 375iter [00:43,  9.49iter/s]
Best score: 0.2602: : 375iter [00:43,  9.49iter/s]
Best score: 0.2602: : 376iter [00:43,  9.40iter/s]
Best score: 0.2602: : 376iter [00:43,  9.40iter/s]
Best score: 0.2602: : 377iter [00:43,  9.31iter/s]
Best score: 0.2602: : 377iter [00:43,  9.31iter/s]
Best score: 0.2602: : 378iter [00:43,  9.18iter/s]
Best score: 0.2602: : 378iter [00:43,  9.18iter/s]
Best score: 0.2602: : 379iter [00:43,  9.08iter/s]
Best score: 0.2602: : 379iter [00:43,  9.08iter/s]
Best score: 0.2602: : 380iter [00:43,  8.84iter/s]
Best score: 0.2602: : 380iter [00:43,  8.84iter/s]
Best score: 0.2602: : 381iter [00:43,  8.95iter/s]
Best score: 0.2602: : 381iter [00:44,  8.95iter/s]
Best score: 0.2602: : 382iter [00:44,  8.92iter/s]
Best score: 0.2602: : 382iter [00:44,  8.92iter/s]
Best score: 0.2602: : 383iter [00:44,  8.84iter/s]
Best score: 0.2602: : 383iter [00:44,  8.84iter/s]
Best score: 0.2602: : 384iter [00:44,  8.91iter/s]
Best score: 0.2602: : 384iter [00:44,  8.91iter/s]
Best score: 0.2602: : 385iter [00:44,  8.96iter/s]
Best score: 0.2602: : 385iter [00:44,  8.96iter/s]
Best score: 0.2602: : 386iter [00:44,  9.09iter/s]
Best score: 0.2602: : 386iter [00:44,  9.09iter/s]
Best score: 0.2602: : 387iter [00:44,  9.02iter/s]
Best score: 0.2602: : 387iter [00:44,  9.02iter/s]
Best score: 0.2602: : 388iter [00:44,  9.11iter/s]
Best score: 0.2602: : 388iter [00:44,  9.11iter/s]
Best score: 0.2602: : 389iter [00:44,  9.21iter/s]
Best score: 0.2579: : 389iter [00:44,  9.21iter/s]
Best score: 0.2579: : 390iter [00:44,  9.11iter/s]
Best score: 0.2579: : 390iter [00:45,  9.11iter/s]
Best score: 0.2579: : 391iter [00:45,  9.17iter/s]
Best score: 0.2579: : 391iter [00:45,  9.17iter/s]
Best score: 0.2579: : 392iter [00:45,  9.01iter/s]
Best score: 0.2579: : 392iter [00:45,  9.01iter/s]
Best score: 0.2579: : 393iter [00:45,  9.02iter/s]
Best score: 0.2579: : 393iter [00:45,  9.02iter/s]
Best score: 0.2579: : 394iter [00:45,  9.17iter/s]
Best score: 0.2579: : 394iter [00:45,  9.17iter/s]
Best score: 0.2579: : 395iter [00:45,  9.28iter/s]
Best score: 0.2579: : 395iter [00:45,  9.28iter/s]
Best score: 0.2579: : 396iter [00:45,  9.40iter/s]
Best score: 0.2579: : 396iter [00:45,  9.40iter/s]
Best score: 0.2579: : 397iter [00:45,  9.42iter/s]
Best score: 0.2579: : 397iter [00:45,  9.42iter/s]
Best score: 0.2579: : 398iter [00:45,  9.49iter/s]
Best score: 0.2579: : 398iter [00:45,  9.49iter/s]
Best score: 0.2579: : 399iter [00:45,  9.62iter/s]
[ITER 400] Best: 0.2570
[PARAMS] Current best parameters:
  fx: 506.2668
  fy: 506.0220
  px: 1014.3655
  py: 715.6757
  k1: -0.01047842
  k2: 0.06924077
  k3: -0.04591017
  k4: 0.00959302
  p1: 0.00008643
  p2: -0.00804061
  p3: 0.00244314
  p4: 0.00624085
  s1: 0.0099
  s2: -0.0080
  s3: -0.0132
  s4: -0.0031
  tilt_x: -0.0408
  tilt_y: -0.0173
  scale: 3.0440
  rotation: -0.2643

Best score: 0.2570: : 399iter [00:45,  9.62iter/s]
Best score: 0.2570: : 400iter [00:45,  9.30iter/s]
Best score: 0.2570: : 400iter [00:46,  9.30iter/s]
Best score: 0.2570: : 401iter [00:46,  5.03iter/s]
Best score: 0.2570: : 401iter [00:46,  5.03iter/s]
Best score: 0.2570: : 402iter [00:46,  5.78iter/s]
Best score: 0.2570: : 402iter [00:46,  5.78iter/s]
Best score: 0.2570: : 403iter [00:46,  6.60iter/s]
Best score: 0.2570: : 403iter [00:46,  6.60iter/s]
Best score: 0.2570: : 404iter [00:46,  7.26iter/s]
Best score: 0.2570: : 404iter [00:46,  7.26iter/s]
Best score: 0.2570: : 405iter [00:46,  7.72iter/s]
Best score: 0.2570: : 405iter [00:46,  7.72iter/s]
Best score: 0.2570: : 406iter [00:46,  8.09iter/s]
Best score: 0.2570: : 406iter [00:47,  8.09iter/s]
Best score: 0.2570: : 407iter [00:47,  8.39iter/s]
Best score: 0.2570: : 407iter [00:47,  8.39iter/s]
Best score: 0.2570: : 408iter [00:47,  8.54iter/s]
Best score: 0.2570: : 408iter [00:47,  8.54iter/s]
Best score: 0.2570: : 409iter [00:47,  8.54iter/s]
Best score: 0.2565: : 409iter [00:47,  8.54iter/s]
Best score: 0.2565: : 410iter [00:47,  8.38iter/s]
Best score: 0.2565: : 410iter [00:47,  8.38iter/s]
Best score: 0.2565: : 411iter [00:47,  8.53iter/s]
Best score: 0.2565: : 411iter [00:47,  8.53iter/s]
Best score: 0.2565: : 412iter [00:47,  8.90iter/s]
Best score: 0.2565: : 412iter [00:47,  8.90iter/s]
Best score: 0.2565: : 413iter [00:47,  9.01iter/s]
Best score: 0.2565: : 413iter [00:47,  9.01iter/s]
Best score: 0.2565: : 414iter [00:47,  9.08iter/s]
Best score: 0.2565: : 414iter [00:47,  9.08iter/s]
Best score: 0.2565: : 415iter [00:47,  8.92iter/s]
Best score: 0.2565: : 415iter [00:48,  8.92iter/s]
Best score: 0.2565: : 416iter [00:48,  9.07iter/s]
Best score: 0.2565: : 416iter [00:48,  9.07iter/s]
Best score: 0.2565: : 417iter [00:48,  9.23iter/s]
Best score: 0.2565: : 417iter [00:48,  9.23iter/s]
Best score: 0.2565: : 418iter [00:48,  9.35iter/s]
Best score: 0.2565: : 418iter [00:48,  9.35iter/s]
Best score: 0.2565: : 419iter [00:48,  9.41iter/s]
Best score: 0.2565: : 419iter [00:48,  9.41iter/s]
Best score: 0.2565: : 420iter [00:48,  9.26iter/s]
Best score: 0.2565: : 420iter [00:48,  9.26iter/s]
Best score: 0.2565: : 421iter [00:48,  9.44iter/s]
Best score: 0.2565: : 421iter [00:48,  9.44iter/s]
Best score: 0.2565: : 422iter [00:48,  9.49iter/s]
Best score: 0.2565: : 422iter [00:48,  9.49iter/s]
Best score: 0.2565: : 423iter [00:48,  9.29iter/s]
Best score: 0.2565: : 423iter [00:48,  9.29iter/s]
Best score: 0.2565: : 424iter [00:48,  9.10iter/s]
Best score: 0.2565: : 424iter [00:49,  9.10iter/s]
Best score: 0.2565: : 425iter [00:49,  8.98iter/s]
Best score: 0.2565: : 425iter [00:49,  8.98iter/s]
Best score: 0.2565: : 426iter [00:49,  8.99iter/s]
Best score: 0.2565: : 426iter [00:49,  8.99iter/s]
Best score: 0.2565: : 427iter [00:49,  9.06iter/s]
Best score: 0.2565: : 427iter [00:49,  9.06iter/s]
Best score: 0.2565: : 428iter [00:49,  9.16iter/s]
Best score: 0.2565: : 428iter [00:49,  9.16iter/s]
Best score: 0.2565: : 429iter [00:49,  9.08iter/s]
Best score: 0.2541: : 429iter [00:49,  9.08iter/s]
Best score: 0.2541: : 430iter [00:49,  8.78iter/s]
Best score: 0.2541: : 430iter [00:49,  8.78iter/s]
Best score: 0.2541: : 431iter [00:49,  8.82iter/s]
Best score: 0.2541: : 431iter [00:49,  8.82iter/s]
Best score: 0.2541: : 432iter [00:49,  8.68iter/s]
Best score: 0.2541: : 432iter [00:49,  8.68iter/s]
Best score: 0.2541: : 433iter [00:49,  8.75iter/s]
Best score: 0.2541: : 433iter [00:50,  8.75iter/s]
Best score: 0.2541: : 434iter [00:50,  8.79iter/s]
Best score: 0.2541: : 434iter [00:50,  8.79iter/s]
Best score: 0.2541: : 435iter [00:50,  8.79iter/s]
Best score: 0.2541: : 435iter [00:50,  8.79iter/s]
Best score: 0.2541: : 436iter [00:50,  8.74iter/s]
Best score: 0.2541: : 436iter [00:50,  8.74iter/s]
Best score: 0.2541: : 437iter [00:50,  8.89iter/s]
Best score: 0.2541: : 437iter [00:50,  8.89iter/s]
Best score: 0.2541: : 438iter [00:50,  9.08iter/s]
Best score: 0.2541: : 438iter [00:50,  9.08iter/s]
Best score: 0.2541: : 439iter [00:50,  9.10iter/s]
Best score: 0.2537: : 439iter [00:50,  9.10iter/s]
Best score: 0.2537: : 440iter [00:50,  9.02iter/s]
Best score: 0.2537: : 440iter [00:50,  9.02iter/s]
Best score: 0.2537: : 441iter [00:50,  9.15iter/s]
Best score: 0.2537: : 441iter [00:50,  9.15iter/s]
Best score: 0.2537: : 442iter [00:50,  9.08iter/s]
Best score: 0.2537: : 442iter [00:51,  9.08iter/s]
Best score: 0.2537: : 443iter [00:51,  9.02iter/s]
Best score: 0.2537: : 443iter [00:51,  9.02iter/s]
Best score: 0.2537: : 444iter [00:51,  8.88iter/s]
Best score: 0.2537: : 444iter [00:51,  8.88iter/s]
Best score: 0.2537: : 445iter [00:51,  8.83iter/s]
Best score: 0.2537: : 445iter [00:51,  8.83iter/s]
Best score: 0.2537: : 446iter [00:51,  8.90iter/s]
Best score: 0.2537: : 446iter [00:51,  8.90iter/s]
Best score: 0.2537: : 447iter [00:51,  9.12iter/s]
Best score: 0.2537: : 447iter [00:51,  9.12iter/s]
Best score: 0.2537: : 448iter [00:51,  9.12iter/s]
Best score: 0.2537: : 449iter [00:51,  9.43iter/s]
[ITER 450] Best: 0.2465
[PARAMS] Current best parameters:
  fx: 505.0296
  fy: 504.8162
  px: 1015.3052
  py: 714.8699
  k1: -0.00923009
  k2: 0.06960979
  k3: -0.04639422
  k4: 0.00972930
  p1: -0.00043106
  p2: -0.00438500
  p3: 0.00363820
  p4: 0.00382639
  s1: 0.0071
  s2: -0.0062
  s3: -0.0145
  s4: -0.0010
  tilt_x: -0.0428
  tilt_y: -0.0140
  scale: 3.0448
  rotation: -0.3064

Best score: 0.2465: : 449iter [00:51,  9.43iter/s]
Best score: 0.2465: : 450iter [00:51,  9.31iter/s]
Best score: 0.2465: : 450iter [00:52,  9.31iter/s]
Best score: 0.2465: : 451iter [00:52,  5.23iter/s]
Best score: 0.2465: : 451iter [00:52,  5.23iter/s]
Best score: 0.2465: : 452iter [00:52,  5.95iter/s]
Best score: 0.2465: : 452iter [00:52,  5.95iter/s]
Best score: 0.2465: : 453iter [00:52,  6.62iter/s]
Best score: 0.2465: : 453iter [00:52,  6.62iter/s]
Best score: 0.2465: : 454iter [00:52,  7.12iter/s]
Best score: 0.2465: : 454iter [00:52,  7.12iter/s]
Best score: 0.2465: : 455iter [00:52,  7.51iter/s]
Best score: 0.2465: : 455iter [00:52,  7.51iter/s]
Best score: 0.2465: : 456iter [00:52,  7.92iter/s]
Best score: 0.2465: : 456iter [00:52,  7.92iter/s]
Best score: 0.2465: : 457iter [00:52,  8.35iter/s]
Best score: 0.2465: : 457iter [00:52,  8.35iter/s]
Best score: 0.2465: : 458iter [00:52,  8.69iter/s]
Best score: 0.2465: : 458iter [00:53,  8.69iter/s]
Best score: 0.2465: : 459iter [00:53,  8.92iter/s]
Best score: 0.2462: : 459iter [00:53,  8.92iter/s]
Best score: 0.2462: : 460iter [00:53,  8.84iter/s]
Best score: 0.2462: : 460iter [00:53,  8.84iter/s]
Best score: 0.2462: : 461iter [00:53,  8.84iter/s]
Best score: 0.2462: : 462iter [00:53,  9.42iter/s]
Best score: 0.2462: : 462iter [00:53,  9.42iter/s]
Best score: 0.2462: : 463iter [00:53,  9.47iter/s]
Best score: 0.2462: : 463iter [00:53,  9.47iter/s]
Best score: 0.2462: : 464iter [00:53,  9.49iter/s]
Best score: 0.2462: : 464iter [00:53,  9.49iter/s]
Best score: 0.2462: : 465iter [00:53,  9.38iter/s]
Best score: 0.2462: : 465iter [00:53,  9.38iter/s]
Best score: 0.2462: : 466iter [00:53,  9.49iter/s]
Best score: 0.2462: : 466iter [00:53,  9.49iter/s]
Best score: 0.2462: : 467iter [00:53,  9.43iter/s]
Best score: 0.2462: : 467iter [00:54,  9.43iter/s]
Best score: 0.2462: : 468iter [00:54,  9.47iter/s]
Best score: 0.2462: : 468iter [00:54,  9.47iter/s]
Best score: 0.2462: : 469iter [00:54,  9.41iter/s]
Best score: 0.2398: : 469iter [00:54,  9.41iter/s]
Best score: 0.2398: : 470iter [00:54,  9.08iter/s]
Best score: 0.2398: : 470iter [00:54,  9.08iter/s]
Best score: 0.2398: : 471iter [00:54,  9.03iter/s]
Best score: 0.2398: : 471iter [00:54,  9.03iter/s]
Best score: 0.2398: : 472iter [00:54,  9.25iter/s]
Best score: 0.2398: : 472iter [00:54,  9.25iter/s]
Best score: 0.2398: : 473iter [00:54,  9.40iter/s]
Best score: 0.2398: : 473iter [00:54,  9.40iter/s]
Best score: 0.2398: : 474iter [00:54,  9.47iter/s]
Best score: 0.2398: : 474iter [00:54,  9.47iter/s]
Best score: 0.2398: : 475iter [00:54,  9.40iter/s]
Best score: 0.2398: : 475iter [00:54,  9.40iter/s]
Best score: 0.2398: : 476iter [00:54,  9.39iter/s]
Best score: 0.2398: : 476iter [00:54,  9.39iter/s]
Best score: 0.2398: : 477iter [00:54,  9.46iter/s]
Best score: 0.2398: : 477iter [00:55,  9.46iter/s]
Best score: 0.2398: : 478iter [00:55,  9.46iter/s]
Best score: 0.2398: : 479iter [00:55,  9.71iter/s]
Best score: 0.2381: : 479iter [00:55,  9.71iter/s]
Best score: 0.2381: : 480iter [00:55,  9.50iter/s]
Best score: 0.2381: : 480iter [00:55,  9.50iter/s]
Best score: 0.2381: : 481iter [00:55,  9.61iter/s]
Best score: 0.2381: : 481iter [00:55,  9.61iter/s]
Best score: 0.2381: : 482iter [00:55,  9.50iter/s]
Best score: 0.2381: : 482iter [00:55,  9.50iter/s]
Best score: 0.2381: : 483iter [00:55,  9.50iter/s]
Best score: 0.2381: : 484iter [00:55,  9.61iter/s]
Best score: 0.2381: : 484iter [00:55,  9.61iter/s]
Best score: 0.2381: : 485iter [00:55,  9.32iter/s]
Best score: 0.2381: : 485iter [00:55,  9.32iter/s]
Best score: 0.2381: : 486iter [00:55,  9.23iter/s]
Best score: 0.2381: : 486iter [00:56,  9.23iter/s]
Best score: 0.2381: : 487iter [00:56,  9.23iter/s]
Best score: 0.2381: : 487iter [00:56,  9.23iter/s]
Best score: 0.2381: : 488iter [00:56,  9.37iter/s]
Best score: 0.2381: : 488iter [00:56,  9.37iter/s]
Best score: 0.2363: : 489iter [00:56,  9.37iter/s]
Best score: 0.2363: : 490iter [00:56,  9.27iter/s]
Best score: 0.2363: : 490iter [00:56,  9.27iter/s]
Best score: 0.2363: : 491iter [00:56,  9.33iter/s]
Best score: 0.2363: : 491iter [00:56,  9.33iter/s]
Best score: 0.2363: : 492iter [00:56,  9.32iter/s]
Best score: 0.2363: : 492iter [00:56,  9.32iter/s]
Best score: 0.2363: : 493iter [00:56,  9.30iter/s]
Best score: 0.2363: : 493iter [00:56,  9.30iter/s]
Best score: 0.2363: : 494iter [00:56,  9.46iter/s]
Best score: 0.2363: : 494iter [00:56,  9.46iter/s]
Best score: 0.2363: : 495iter [00:56,  9.43iter/s]
Best score: 0.2363: : 495iter [00:57,  9.43iter/s]
Best score: 0.2363: : 496iter [00:57,  9.29iter/s]
Best score: 0.2363: : 496iter [00:57,  9.29iter/s]
Best score: 0.2363: : 497iter [00:57,  9.34iter/s]
Best score: 0.2363: : 497iter [00:57,  9.34iter/s]
Best score: 0.2363: : 498iter [00:57,  9.26iter/s]
Best score: 0.2363: : 498iter [00:57,  9.26iter/s]
[ITER 500] Best: 0.2342
[PARAMS] Current best parameters:
  fx: 498.0207
  fy: 497.7868
  px: 1018.0349
  py: 716.5703
  k1: 0.00243587
  k2: 0.06162305
  k3: -0.04105028
  k4: 0.00833658
  p1: 0.00577110
  p2: 0.00388415
  p3: 0.00724787
  p4: 0.00229277
  s1: -0.0038
  s2: -0.0035
  s3: -0.0209
  s4: -0.0010
  tilt_x: -0.0470
  tilt_y: -0.0098
  scale: 3.0441
  rotation: -0.3067

Best score: 0.2342: : 499iter [00:57,  9.26iter/s]
Best score: 0.2342: : 500iter [00:57,  9.31iter/s]
Best score: 0.2342: : 500iter [00:57,  9.31iter/s]
Best score: 0.2342: : 501iter [00:57,  5.44iter/s]
Best score: 0.2342: : 501iter [00:57,  5.44iter/s]
Best score: 0.2342: : 502iter [00:57,  6.08iter/s]
Best score: 0.2342: : 502iter [00:58,  6.08iter/s]
Best score: 0.2342: : 503iter [00:58,  6.69iter/s]
Best score: 0.2342: : 503iter [00:58,  6.69iter/s]
Best score: 0.2342: : 504iter [00:58,  7.20iter/s]
Best score: 0.2342: : 504iter [00:58,  7.20iter/s]
Best score: 0.2342: : 505iter [00:58,  7.66iter/s]
Best score: 0.2342: : 505iter [00:58,  7.66iter/s]
Best score: 0.2342: : 506iter [00:58,  7.95iter/s]
Best score: 0.2342: : 506iter [00:58,  7.95iter/s]
Best score: 0.2342: : 507iter [00:58,  8.34iter/s]
Best score: 0.2342: : 507iter [00:58,  8.34iter/s]
Best score: 0.2342: : 508iter [00:58,  8.62iter/s]
Best score: 0.2342: : 508iter [00:58,  8.62iter/s]
Best score: 0.2342: : 509iter [00:58,  8.82iter/s]
Best score: 0.2336: : 509iter [00:58,  8.82iter/s]
Best score: 0.2336: : 510iter [00:58,  8.58iter/s]
Best score: 0.2336: : 510iter [00:58,  8.58iter/s]
Best score: 0.2336: : 511iter [00:58,  8.86iter/s]
Best score: 0.2336: : 511iter [00:59,  8.86iter/s]
Best score: 0.2336: : 512iter [00:59,  9.07iter/s]
Best score: 0.2336: : 512iter [00:59,  9.07iter/s]
Best score: 0.2336: : 513iter [00:59,  9.18iter/s]
Best score: 0.2336: : 513iter [00:59,  9.18iter/s]
Best score: 0.2336: : 514iter [00:59,  9.39iter/s]
Best score: 0.2336: : 514iter [00:59,  9.39iter/s]
Best score: 0.2336: : 515iter [00:59,  9.39iter/s]
Best score: 0.2336: : 516iter [00:59,  9.62iter/s]
Best score: 0.2336: : 516iter [00:59,  9.62iter/s]
Best score: 0.2336: : 517iter [00:59,  9.62iter/s]
Best score: 0.2336: : 518iter [00:59,  9.74iter/s]
Best score: 0.2336: : 518iter [00:59,  9.74iter/s]
Best score: 0.2331: : 519iter [00:59,  9.74iter/s]
Best score: 0.2331: : 520iter [00:59,  9.58iter/s]
Best score: 0.2331: : 520iter [01:00,  9.58iter/s]
Best score: 0.2331: : 521iter [01:00,  9.57iter/s]
Best score: 0.2331: : 521iter [01:00,  9.57iter/s]
Best score: 0.2331: : 522iter [01:00,  9.49iter/s]
Best score: 0.2331: : 522iter [01:00,  9.49iter/s]
Best score: 0.2331: : 523iter [01:00,  9.50iter/s]
Best score: 0.2331: : 523iter [01:00,  9.50iter/s]
Best score: 0.2331: : 524iter [01:00,  9.45iter/s]
Best score: 0.2331: : 524iter [01:00,  9.45iter/s]
Best score: 0.2331: : 525iter [01:00,  9.49iter/s]
Best score: 0.2331: : 525iter [01:00,  9.49iter/s]
Best score: 0.2331: : 526iter [01:00,  9.51iter/s]
Best score: 0.2331: : 526iter [01:00,  9.51iter/s]
Best score: 0.2331: : 527iter [01:00,  9.53iter/s]
Best score: 0.2331: : 527iter [01:00,  9.53iter/s]
Best score: 0.2331: : 528iter [01:00,  9.59iter/s]
Best score: 0.2331: : 528iter [01:00,  9.59iter/s]
Best score: 0.2331: : 529iter [01:00,  9.49iter/s]
Best score: 0.2331: : 529iter [01:00,  9.49iter/s]
Best score: 0.2331: : 530iter [01:00,  9.20iter/s]
Best score: 0.2331: : 530iter [01:01,  9.20iter/s]
Best score: 0.2331: : 531iter [01:01,  9.38iter/s]
Best score: 0.2331: : 531iter [01:01,  9.38iter/s]
Best score: 0.2331: : 532iter [01:01,  9.40iter/s]
Best score: 0.2331: : 532iter [01:01,  9.40iter/s]
Best score: 0.2331: : 533iter [01:01,  9.36iter/s]
Best score: 0.2331: : 533iter [01:01,  9.36iter/s]
Best score: 0.2331: : 534iter [01:01,  9.28iter/s]
Best score: 0.2331: : 534iter [01:01,  9.28iter/s]
Best score: 0.2331: : 535iter [01:01,  9.41iter/s]
Best score: 0.2331: : 535iter [01:01,  9.41iter/s]
Best score: 0.2331: : 536iter [01:01,  9.40iter/s]
Best score: 0.2331: : 536iter [01:01,  9.40iter/s]
Best score: 0.2331: : 537iter [01:01,  9.27iter/s]
Best score: 0.2331: : 537iter [01:01,  9.27iter/s]
Best score: 0.2331: : 538iter [01:01,  9.19iter/s]
Best score: 0.2331: : 538iter [01:01,  9.19iter/s]
Best score: 0.2331: : 539iter [01:01,  9.05iter/s]
Best score: 0.2331: : 539iter [01:02,  9.05iter/s]
Best score: 0.2331: : 540iter [01:02,  8.82iter/s]
Best score: 0.2331: : 540iter [01:02,  8.82iter/s]
Best score: 0.2331: : 541iter [01:02,  8.93iter/s]
Best score: 0.2331: : 541iter [01:02,  8.93iter/s]
Best score: 0.2331: : 542iter [01:02,  8.95iter/s]
Best score: 0.2331: : 542iter [01:02,  8.95iter/s]
Best score: 0.2331: : 543iter [01:02,  8.85iter/s]
Best score: 0.2331: : 543iter [01:02,  8.85iter/s]
Best score: 0.2331: : 544iter [01:02,  8.87iter/s]
Best score: 0.2331: : 544iter [01:02,  8.87iter/s]
Best score: 0.2331: : 545iter [01:02,  8.88iter/s]
Best score: 0.2331: : 545iter [01:02,  8.88iter/s]
Best score: 0.2331: : 546iter [01:02,  8.82iter/s]
Best score: 0.2331: : 546iter [01:02,  8.82iter/s]
Best score: 0.2331: : 547iter [01:02,  8.99iter/s]
Best score: 0.2331: : 547iter [01:02,  8.99iter/s]
Best score: 0.2331: : 548iter [01:02,  9.04iter/s]
Best score: 0.2331: : 548iter [01:03,  9.04iter/s]
Best score: 0.2331: : 549iter [01:03,  8.96iter/s]
Best score: 0.2315: : 549iter [01:03,  8.96iter/s]
Best score: 0.2315: : 550iter [01:03,  8.73iter/s]
[ITER 550] Best: 0.2315
[PARAMS] Current best parameters:
  fx: 496.8791
  fy: 496.6892
  px: 1017.6049
  py: 716.8305
  k1: 0.00912941
  k2: 0.05338282
  k3: -0.03634584
  k4: 0.00732381
  p1: 0.00713212
  p2: 0.00399128
  p3: 0.00495673
  p4: 0.00383221
  s1: -0.0026
  s2: -0.0045
  s3: -0.0199
  s4: -0.0022
  tilt_x: -0.0487
  tilt_y: -0.0074
  scale: 3.0384
  rotation: -0.3179

Best score: 0.2315: : 550iter [01:03,  8.73iter/s]
Best score: 0.2315: : 551iter [01:03,  4.96iter/s]
Best score: 0.2315: : 551iter [01:03,  4.96iter/s]
Best score: 0.2315: : 552iter [01:03,  5.76iter/s]
Best score: 0.2315: : 552iter [01:03,  5.76iter/s]
Best score: 0.2315: : 553iter [01:03,  6.51iter/s]
Best score: 0.2315: : 553iter [01:03,  6.51iter/s]
Best score: 0.2315: : 554iter [01:03,  7.26iter/s]
Best score: 0.2315: : 554iter [01:03,  7.26iter/s]
Best score: 0.2315: : 555iter [01:04,  7.26iter/s]
Best score: 0.2315: : 556iter [01:04,  8.37iter/s]
Best score: 0.2315: : 556iter [01:04,  8.37iter/s]
Best score: 0.2315: : 557iter [01:04,  8.69iter/s]
Best score: 0.2315: : 557iter [01:04,  8.69iter/s]
Best score: 0.2315: : 558iter [01:04,  8.91iter/s]
Best score: 0.2315: : 558iter [01:04,  8.91iter/s]
Best score: 0.2315: : 559iter [01:04,  9.09iter/s]
Best score: 0.2315: : 559iter [01:04,  9.09iter/s]
Best score: 0.2315: : 560iter [01:04,  9.15iter/s]
Best score: 0.2315: : 560iter [01:04,  9.15iter/s]
Best score: 0.2315: : 561iter [01:04,  9.15iter/s]
Best score: 0.2315: : 562iter [01:04,  9.42iter/s]
Best score: 0.2315: : 562iter [01:04,  9.42iter/s]
Best score: 0.2315: : 563iter [01:04,  9.41iter/s]
Best score: 0.2315: : 563iter [01:04,  9.41iter/s]
Best score: 0.2315: : 564iter [01:04,  9.45iter/s]
Best score: 0.2315: : 564iter [01:05,  9.45iter/s]
Best score: 0.2315: : 565iter [01:05,  9.45iter/s]
Best score: 0.2315: : 565iter [01:05,  9.45iter/s]
Best score: 0.2315: : 566iter [01:05,  9.32iter/s]
Best score: 0.2315: : 566iter [01:05,  9.32iter/s]
Best score: 0.2315: : 567iter [01:05,  9.25iter/s]
Best score: 0.2315: : 567iter [01:05,  9.25iter/s]
Best score: 0.2315: : 568iter [01:05,  9.29iter/s]
Best score: 0.2315: : 568iter [01:05,  9.29iter/s]
Best score: 0.2315: : 569iter [01:05,  9.15iter/s]
Best score: 0.2304: : 569iter [01:05,  9.15iter/s]
Best score: 0.2304: : 570iter [01:05,  8.84iter/s]
Best score: 0.2304: : 570iter [01:05,  8.84iter/s]
Best score: 0.2304: : 571iter [01:05,  8.90iter/s]
Best score: 0.2304: : 571iter [01:05,  8.90iter/s]
Best score: 0.2304: : 572iter [01:05,  8.90iter/s]
Best score: 0.2304: : 572iter [01:05,  8.90iter/s]
Best score: 0.2304: : 573iter [01:05,  8.97iter/s]
Best score: 0.2304: : 573iter [01:06,  8.97iter/s]
Best score: 0.2304: : 574iter [01:06,  9.17iter/s]
Best score: 0.2304: : 574iter [01:06,  9.17iter/s]
Best score: 0.2304: : 575iter [01:06,  9.29iter/s]
Best score: 0.2304: : 575iter [01:06,  9.29iter/s]
Best score: 0.2304: : 576iter [01:06,  9.13iter/s]
Best score: 0.2304: : 576iter [01:06,  9.13iter/s]
Best score: 0.2304: : 577iter [01:06,  9.15iter/s]
Best score: 0.2304: : 577iter [01:06,  9.15iter/s]
Best score: 0.2304: : 578iter [01:06,  9.20iter/s]
Best score: 0.2304: : 578iter [01:06,  9.20iter/s]
Best score: 0.2304: : 579iter [01:06,  9.37iter/s]
Best score: 0.2300: : 579iter [01:06,  9.37iter/s]
Best score: 0.2300: : 580iter [01:06,  9.09iter/s]
Best score: 0.2300: : 580iter [01:06,  9.09iter/s]
Best score: 0.2300: : 581iter [01:06,  9.28iter/s]
Best score: 0.2300: : 581iter [01:06,  9.28iter/s]
Best score: 0.2300: : 582iter [01:06,  9.34iter/s]
Best score: 0.2300: : 582iter [01:07,  9.34iter/s]
Best score: 0.2300: : 583iter [01:07,  9.41iter/s]
Best score: 0.2300: : 583iter [01:07,  9.41iter/s]
Best score: 0.2300: : 584iter [01:07,  9.39iter/s]
Best score: 0.2300: : 584iter [01:07,  9.39iter/s]
Best score: 0.2300: : 585iter [01:07,  9.23iter/s]
Best score: 0.2300: : 585iter [01:07,  9.23iter/s]
Best score: 0.2300: : 586iter [01:07,  9.33iter/s]
Best score: 0.2300: : 586iter [01:07,  9.33iter/s]
Best score: 0.2300: : 587iter [01:07,  9.47iter/s]
Best score: 0.2300: : 587iter [01:07,  9.47iter/s]
Best score: 0.2300: : 588iter [01:07,  9.55iter/s]
Best score: 0.2300: : 588iter [01:07,  9.55iter/s]
Best score: 0.2300: : 589iter [01:07,  9.60iter/s]
Best score: 0.2290: : 589iter [01:07,  9.60iter/s]
Best score: 0.2290: : 590iter [01:07,  9.45iter/s]
Best score: 0.2290: : 590iter [01:07,  9.45iter/s]
Best score: 0.2290: : 591iter [01:07,  9.60iter/s]
Best score: 0.2290: : 591iter [01:07,  9.60iter/s]
Best score: 0.2290: : 592iter [01:07,  9.67iter/s]
Best score: 0.2290: : 592iter [01:08,  9.67iter/s]
Best score: 0.2290: : 593iter [01:08,  9.67iter/s]
Best score: 0.2290: : 594iter [01:08,  9.80iter/s]
Best score: 0.2290: : 594iter [01:08,  9.80iter/s]
Best score: 0.2290: : 595iter [01:08,  9.69iter/s]
Best score: 0.2290: : 595iter [01:08,  9.69iter/s]
Best score: 0.2290: : 596iter [01:08,  9.61iter/s]
Best score: 0.2290: : 596iter [01:08,  9.61iter/s]
Best score: 0.2290: : 597iter [01:08,  9.57iter/s]
Best score: 0.2290: : 597iter [01:08,  9.57iter/s]
Best score: 0.2290: : 598iter [01:08,  9.48iter/s]
Best score: 0.2290: : 598iter [01:08,  9.48iter/s]
Best score: 0.2290: : 599iter [01:08,  9.23iter/s]
Best score: 0.2271: : 599iter [01:08,  9.23iter/s]
[ITER 600] Best: 0.2271
[PARAMS] Current best parameters:
  fx: 493.8625
  fy: 493.5714
  px: 1019.2717
  py: 718.3757
  k1: 0.02383630
  k2: 0.03509430
  k3: -0.02616695
  k4: 0.00535517
  p1: 0.01317473
  p2: 0.00732075
  p3: 0.00716517
  p4: -0.00192354
  s1: -0.0046
  s2: 0.0001
  s3: -0.0275
  s4: 0.0037
  tilt_x: -0.0535
  tilt_y: -0.0077
  scale: 3.0318
  rotation: -0.3186

Best score: 0.2271: : 600iter [01:08,  8.86iter/s]
Best score: 0.2271: : 600iter [01:09,  8.86iter/s]
Best score: 0.2271: : 601iter [01:09,  4.93iter/s]
Best score: 0.2271: : 601iter [01:09,  4.93iter/s]
Best score: 0.2271: : 602iter [01:09,  5.74iter/s]
Best score: 0.2271: : 602iter [01:09,  5.74iter/s]
Best score: 0.2271: : 603iter [01:09,  6.51iter/s]
Best score: 0.2271: : 603iter [01:09,  6.51iter/s]
Best score: 0.2271: : 604iter [01:09,  7.14iter/s]
Best score: 0.2271: : 604iter [01:09,  7.14iter/s]
Best score: 0.2271: : 605iter [01:09,  7.66iter/s]
Best score: 0.2271: : 605iter [01:09,  7.66iter/s]
Best score: 0.2271: : 606iter [01:09,  8.12iter/s]
Best score: 0.2271: : 606iter [01:09,  8.12iter/s]
Best score: 0.2271: : 607iter [01:09,  8.49iter/s]
Best score: 0.2271: : 607iter [01:09,  8.49iter/s]
Best score: 0.2271: : 608iter [01:09,  8.88iter/s]
Best score: 0.2271: : 608iter [01:10,  8.88iter/s]
Best score: 0.2271: : 609iter [01:10,  9.13iter/s]
Best score: 0.2238: : 609iter [01:10,  9.13iter/s]
Best score: 0.2238: : 610iter [01:10,  9.07iter/s]
Best score: 0.2238: : 610iter [01:10,  9.07iter/s]
Best score: 0.2238: : 611iter [01:10,  9.25iter/s]
Best score: 0.2238: : 611iter [01:10,  9.25iter/s]
Best score: 0.2238: : 612iter [01:10,  9.37iter/s]
Best score: 0.2238: : 612iter [01:10,  9.37iter/s]
Best score: 0.2238: : 613iter [01:10,  9.44iter/s]
Best score: 0.2238: : 613iter [01:10,  9.44iter/s]
Best score: 0.2238: : 614iter [01:10,  9.54iter/s]
Best score: 0.2238: : 614iter [01:10,  9.54iter/s]
Best score: 0.2238: : 615iter [01:10,  9.59iter/s]
Best score: 0.2238: : 615iter [01:10,  9.59iter/s]
Best score: 0.2238: : 616iter [01:10,  9.56iter/s]
Best score: 0.2238: : 616iter [01:10,  9.56iter/s]
Best score: 0.2238: : 617iter [01:10,  9.63iter/s]
Best score: 0.2238: : 617iter [01:11,  9.63iter/s]
Best score: 0.2238: : 618iter [01:11,  9.61iter/s]
Best score: 0.2238: : 618iter [01:11,  9.61iter/s]
Best score: 0.2238: : 619iter [01:11,  9.67iter/s]
Best score: 0.2216: : 619iter [01:11,  9.67iter/s]
Best score: 0.2216: : 620iter [01:11,  9.35iter/s]
Best score: 0.2216: : 620iter [01:11,  9.35iter/s]
Best score: 0.2216: : 621iter [01:11,  9.37iter/s]
Best score: 0.2216: : 621iter [01:11,  9.37iter/s]
Best score: 0.2216: : 622iter [01:11,  9.51iter/s]
Best score: 0.2216: : 622iter [01:11,  9.51iter/s]
Best score: 0.2216: : 623iter [01:11,  9.55iter/s]
Best score: 0.2216: : 623iter [01:11,  9.55iter/s]
Best score: 0.2216: : 624iter [01:11,  9.53iter/s]
Best score: 0.2216: : 624iter [01:11,  9.53iter/s]
Best score: 0.2216: : 625iter [01:11,  9.61iter/s]
Best score: 0.2216: : 625iter [01:11,  9.61iter/s]
Best score: 0.2216: : 626iter [01:11,  9.46iter/s]
Best score: 0.2216: : 626iter [01:11,  9.46iter/s]
Best score: 0.2216: : 627iter [01:11,  9.35iter/s]
Best score: 0.2216: : 627iter [01:12,  9.35iter/s]
Best score: 0.2216: : 628iter [01:12,  9.48iter/s]
Best score: 0.2216: : 628iter [01:12,  9.48iter/s]
Best score: 0.2216: : 629iter [01:12,  9.61iter/s]
Best score: 0.2189: : 629iter [01:12,  9.61iter/s]
Best score: 0.2189: : 630iter [01:12,  9.49iter/s]
Best score: 0.2189: : 630iter [01:12,  9.49iter/s]
Best score: 0.2189: : 631iter [01:12,  9.63iter/s]
Best score: 0.2189: : 631iter [01:12,  9.63iter/s]
Best score: 0.2189: : 632iter [01:12,  9.63iter/s]
Best score: 0.2189: : 633iter [01:12,  9.91iter/s]
Best score: 0.2189: : 633iter [01:12,  9.91iter/s]
Best score: 0.2189: : 634iter [01:12,  9.91iter/s]
Best score: 0.2189: : 634iter [01:12,  9.91iter/s]
Best score: 0.2189: : 635iter [01:12,  9.91iter/s]
Best score: 0.2189: : 636iter [01:12, 10.02iter/s]
Best score: 0.2189: : 636iter [01:12, 10.02iter/s]
Best score: 0.2189: : 637iter [01:12,  9.95iter/s]
Best score: 0.2189: : 637iter [01:13,  9.95iter/s]
Best score: 0.2189: : 638iter [01:13,  9.74iter/s]
Best score: 0.2189: : 638iter [01:13,  9.74iter/s]
Best score: 0.2189: : 639iter [01:13,  9.71iter/s]
Best score: 0.2188: : 639iter [01:13,  9.71iter/s]
Best score: 0.2188: : 640iter [01:13,  9.49iter/s]
Best score: 0.2188: : 640iter [01:13,  9.49iter/s]
Best score: 0.2188: : 641iter [01:13,  9.49iter/s]
Best score: 0.2188: : 642iter [01:13,  9.85iter/s]
Best score: 0.2188: : 642iter [01:13,  9.85iter/s]
Best score: 0.2188: : 643iter [01:13,  9.85iter/s]
Best score: 0.2188: : 644iter [01:13,  9.98iter/s]
Best score: 0.2188: : 644iter [01:13,  9.98iter/s]
Best score: 0.2188: : 645iter [01:13,  9.91iter/s]
Best score: 0.2188: : 645iter [01:13,  9.91iter/s]
Best score: 0.2188: : 646iter [01:13,  9.92iter/s]
Best score: 0.2188: : 646iter [01:13,  9.92iter/s]
Best score: 0.2188: : 647iter [01:13,  9.93iter/s]
Best score: 0.2188: : 647iter [01:14,  9.93iter/s]
Best score: 0.2188: : 648iter [01:14,  9.81iter/s]
Best score: 0.2188: : 648iter [01:14,  9.81iter/s]
Best score: 0.2188: : 649iter [01:14,  9.66iter/s]
[ITER 650] Best: 0.2187
[PARAMS] Current best parameters:
  fx: 490.5813
  fy: 490.3282
  px: 1018.1429
  py: 718.8169
  k1: 0.03834167
  k2: 0.01622891
  k3: -0.01410157
  k4: 0.00258489
  p1: 0.01630350
  p2: 0.01060016
  p3: 0.00650183
  p4: -0.00481792
  s1: -0.0090
  s2: 0.0033
  s3: -0.0282
  s4: 0.0055
  tilt_x: -0.0578
  tilt_y: 0.0039
  scale: 3.0230
  rotation: -0.3461

Best score: 0.2187: : 649iter [01:14,  9.66iter/s]
Best score: 0.2187: : 650iter [01:14,  9.17iter/s]
Best score: 0.2187: : 650iter [01:14,  9.17iter/s]
Best score: 0.2187: : 651iter [01:14,  5.10iter/s]
Best score: 0.2187: : 651iter [01:14,  5.10iter/s]
Best score: 0.2187: : 652iter [01:14,  5.91iter/s]
Best score: 0.2187: : 652iter [01:14,  5.91iter/s]
Best score: 0.2187: : 653iter [01:14,  6.63iter/s]
Best score: 0.2187: : 653iter [01:15,  6.63iter/s]
Best score: 0.2187: : 654iter [01:15,  7.34iter/s]
Best score: 0.2187: : 654iter [01:15,  7.34iter/s]
Best score: 0.2187: : 655iter [01:15,  7.93iter/s]
Best score: 0.2187: : 655iter [01:15,  7.93iter/s]
Best score: 0.2187: : 656iter [01:15,  8.37iter/s]
Best score: 0.2187: : 656iter [01:15,  8.37iter/s]
Best score: 0.2187: : 657iter [01:15,  8.61iter/s]
Best score: 0.2187: : 657iter [01:15,  8.61iter/s]
Best score: 0.2187: : 658iter [01:15,  8.84iter/s]
Best score: 0.2187: : 658iter [01:15,  8.84iter/s]
Best score: 0.2187: : 659iter [01:15,  9.04iter/s]
Best score: 0.2161: : 659iter [01:15,  9.04iter/s]
Best score: 0.2161: : 660iter [01:15,  8.90iter/s]
Best score: 0.2161: : 660iter [01:15,  8.90iter/s]
Best score: 0.2161: : 661iter [01:15,  8.90iter/s]
Best score: 0.2161: : 662iter [01:15,  9.34iter/s]
Best score: 0.2161: : 662iter [01:16,  9.34iter/s]
Best score: 0.2161: : 663iter [01:16,  9.41iter/s]
Best score: 0.2161: : 663iter [01:16,  9.41iter/s]
Best score: 0.2161: : 664iter [01:16,  9.38iter/s]
Best score: 0.2161: : 664iter [01:16,  9.38iter/s]
Best score: 0.2161: : 665iter [01:16,  9.32iter/s]
Best score: 0.2161: : 665iter [01:16,  9.32iter/s]
Best score: 0.2161: : 666iter [01:16,  9.48iter/s]
Best score: 0.2161: : 666iter [01:16,  9.48iter/s]
Best score: 0.2161: : 667iter [01:16,  9.58iter/s]
Best score: 0.2161: : 667iter [01:16,  9.58iter/s]
Best score: 0.2161: : 668iter [01:16,  9.63iter/s]
Best score: 0.2161: : 668iter [01:16,  9.63iter/s]
Best score: 0.2161: : 669iter [01:16,  9.54iter/s]
Best score: 0.2161: : 669iter [01:16,  9.54iter/s]
Best score: 0.2161: : 670iter [01:16,  9.22iter/s]
Best score: 0.2161: : 670iter [01:16,  9.22iter/s]
Best score: 0.2161: : 671iter [01:16,  9.25iter/s]
Best score: 0.2161: : 671iter [01:16,  9.25iter/s]
Best score: 0.2161: : 672iter [01:16,  9.35iter/s]
Best score: 0.2161: : 672iter [01:17,  9.35iter/s]
Best score: 0.2161: : 673iter [01:17,  9.49iter/s]
Best score: 0.2161: : 673iter [01:17,  9.49iter/s]
Best score: 0.2161: : 674iter [01:17,  9.52iter/s]
Best score: 0.2161: : 674iter [01:17,  9.52iter/s]
Best score: 0.2161: : 675iter [01:17,  9.53iter/s]
Best score: 0.2161: : 675iter [01:17,  9.53iter/s]
Best score: 0.2161: : 676iter [01:17,  9.52iter/s]
Best score: 0.2161: : 676iter [01:17,  9.52iter/s]
Best score: 0.2161: : 677iter [01:17,  9.37iter/s]
Best score: 0.2161: : 677iter [01:17,  9.37iter/s]
Best score: 0.2161: : 678iter [01:17,  9.29iter/s]
Best score: 0.2161: : 678iter [01:17,  9.29iter/s]
Best score: 0.2161: : 679iter [01:17,  9.37iter/s]
Best score: 0.2157: : 679iter [01:17,  9.37iter/s]
Best score: 0.2157: : 680iter [01:17,  9.20iter/s]
Best score: 0.2157: : 680iter [01:17,  9.20iter/s]
Best score: 0.2157: : 681iter [01:17,  9.40iter/s]
Best score: 0.2157: : 681iter [01:18,  9.40iter/s]
Best score: 0.2157: : 682iter [01:18,  9.40iter/s]
Best score: 0.2157: : 683iter [01:18,  9.68iter/s]
Best score: 0.2157: : 683iter [01:18,  9.68iter/s]
Best score: 0.2157: : 684iter [01:18,  9.49iter/s]
Best score: 0.2157: : 684iter [01:18,  9.49iter/s]
Best score: 0.2157: : 685iter [01:18,  9.37iter/s]
Best score: 0.2157: : 685iter [01:18,  9.37iter/s]
Best score: 0.2157: : 686iter [01:18,  9.37iter/s]
Best score: 0.2157: : 687iter [01:18,  9.53iter/s]
Best score: 0.2157: : 687iter [01:18,  9.53iter/s]
Best score: 0.2157: : 688iter [01:18,  9.53iter/s]
Best score: 0.2157: : 689iter [01:18,  9.73iter/s]
Best score: 0.2149: : 689iter [01:18,  9.73iter/s]
Best score: 0.2149: : 690iter [01:18,  9.59iter/s]
Best score: 0.2149: : 690iter [01:18,  9.59iter/s]
Best score: 0.2149: : 691iter [01:19,  9.59iter/s]
Best score: 0.2149: : 692iter [01:19,  9.90iter/s]
Best score: 0.2149: : 692iter [01:19,  9.90iter/s]
Best score: 0.2149: : 693iter [01:19,  9.90iter/s]
Best score: 0.2149: : 694iter [01:19, 10.00iter/s]
Best score: 0.2149: : 694iter [01:19, 10.00iter/s]
Best score: 0.2149: : 695iter [01:19, 10.00iter/s]
Best score: 0.2149: : 696iter [01:19, 10.00iter/s]
Best score: 0.2149: : 696iter [01:19, 10.00iter/s]
Best score: 0.2149: : 697iter [01:19,  9.96iter/s]
Best score: 0.2149: : 697iter [01:19,  9.96iter/s]
Best score: 0.2149: : 698iter [01:19,  9.78iter/s]
Best score: 0.2149: : 698iter [01:19,  9.78iter/s]
Best score: 0.2149: : 699iter [01:19,  9.78iter/s]
[ITER 700] Best: 0.2124
[PARAMS] Current best parameters:
  fx: 495.4188
  fy: 495.1099
  px: 1017.0997
  py: 718.2578
  k1: 0.01732223
  k2: 0.04163588
  k3: -0.02924127
  k4: 0.00588914
  p1: 0.01659614
  p2: 0.01058684
  p3: 0.01593966
  p4: -0.00818749
  s1: -0.0189
  s2: 0.0062
  s3: -0.0391
  s4: 0.0095
  tilt_x: -0.0614
  tilt_y: 0.0086
  scale: 3.0360
  rotation: -0.3487

Best score: 0.2124: : 699iter [01:19,  9.78iter/s]
Best score: 0.2124: : 700iter [01:19,  9.45iter/s]
Best score: 0.2124: : 700iter [01:20,  9.45iter/s]
Best score: 0.2124: : 701iter [01:20,  5.36iter/s]
Best score: 0.2124: : 701iter [01:20,  5.36iter/s]
Best score: 0.2124: : 702iter [01:20,  6.05iter/s]
Best score: 0.2124: : 702iter [01:20,  6.05iter/s]
Best score: 0.2124: : 703iter [01:20,  6.77iter/s]
Best score: 0.2124: : 703iter [01:20,  6.77iter/s]
Best score: 0.2124: : 704iter [01:20,  7.27iter/s]
Best score: 0.2124: : 704iter [01:20,  7.27iter/s]
Best score: 0.2124: : 705iter [01:20,  7.70iter/s]
Best score: 0.2124: : 705iter [01:20,  7.70iter/s]
Best score: 0.2124: : 706iter [01:20,  8.06iter/s]
Best score: 0.2124: : 706iter [01:20,  8.06iter/s]
Best score: 0.2124: : 707iter [01:20,  8.34iter/s]
Best score: 0.2124: : 707iter [01:21,  8.34iter/s]
Best score: 0.2124: : 708iter [01:21,  8.61iter/s]
Best score: 0.2124: : 708iter [01:21,  8.61iter/s]
Best score: 0.2124: : 709iter [01:21,  8.73iter/s]
Best score: 0.2110: : 709iter [01:21,  8.73iter/s]
Best score: 0.2110: : 710iter [01:21,  8.76iter/s]
Best score: 0.2110: : 710iter [01:21,  8.76iter/s]
Best score: 0.2110: : 711iter [01:21,  8.99iter/s]
Best score: 0.2110: : 711iter [01:21,  8.99iter/s]
Best score: 0.2110: : 712iter [01:21,  9.08iter/s]
Best score: 0.2110: : 712iter [01:21,  9.08iter/s]
Best score: 0.2110: : 713iter [01:21,  9.15iter/s]
Best score: 0.2110: : 713iter [01:21,  9.15iter/s]
Best score: 0.2110: : 714iter [01:21,  9.12iter/s]
Best score: 0.2110: : 714iter [01:21,  9.12iter/s]
Best score: 0.2110: : 715iter [01:21,  9.34iter/s]
Best score: 0.2110: : 715iter [01:21,  9.34iter/s]
Best score: 0.2110: : 716iter [01:21,  9.34iter/s]
Best score: 0.2110: : 717iter [01:21,  9.72iter/s]
Best score: 0.2110: : 717iter [01:22,  9.72iter/s]
Best score: 0.2110: : 718iter [01:22,  9.72iter/s]
Best score: 0.2110: : 719iter [01:22,  9.93iter/s]
Best score: 0.2108: : 719iter [01:22,  9.93iter/s]
Best score: 0.2108: : 720iter [01:22,  9.72iter/s]
Best score: 0.2108: : 720iter [01:22,  9.72iter/s]
Best score: 0.2108: : 721iter [01:22,  9.55iter/s]
Best score: 0.2108: : 721iter [01:22,  9.55iter/s]
Best score: 0.2108: : 722iter [01:22,  9.46iter/s]
Best score: 0.2108: : 722iter [01:22,  9.46iter/s]
Best score: 0.2108: : 723iter [01:22,  9.52iter/s]
Best score: 0.2108: : 723iter [01:22,  9.52iter/s]
Best score: 0.2108: : 724iter [01:22,  9.52iter/s]
Best score: 0.2108: : 725iter [01:22,  9.91iter/s]
Best score: 0.2108: : 725iter [01:23,  9.91iter/s]
Best score: 0.2108: : 726iter [01:23,  7.16iter/s]
Best score: 0.2108: : 726iter [01:23,  7.16iter/s]
Best score: 0.2108: : 727iter [01:23,  7.67iter/s]
Best score: 0.2108: : 727iter [01:23,  7.67iter/s]
Best score: 0.2108: : 728iter [01:23,  7.67iter/s]
Best score: 0.2108: : 729iter [01:23,  8.60iter/s]
Best score: 0.2105: : 729iter [01:23,  8.60iter/s]
Best score: 0.2105: : 730iter [01:23,  8.76iter/s]
Best score: 0.2105: : 730iter [01:23,  8.76iter/s]
Best score: 0.2105: : 731iter [01:23,  8.76iter/s]
Best score: 0.2105: : 732iter [01:23,  9.55iter/s]
Best score: 0.2105: : 732iter [01:23,  9.55iter/s]
Best score: 0.2105: : 733iter [01:23,  9.55iter/s]
Best score: 0.2105: : 734iter [01:23, 10.03iter/s]
Best score: 0.2105: : 734iter [01:23, 10.03iter/s]
Best score: 0.2105: : 735iter [01:24, 10.03iter/s]
Best score: 0.2105: : 736iter [01:24,  9.90iter/s]
Best score: 0.2105: : 736iter [01:24,  9.90iter/s]
Best score: 0.2105: : 737iter [01:24,  9.72iter/s]
Best score: 0.2105: : 737iter [01:24,  9.72iter/s]
Best score: 0.2105: : 738iter [01:24,  9.72iter/s]
Best score: 0.2105: : 739iter [01:24,  9.85iter/s]
Best score: 0.2105: : 739iter [01:24,  9.85iter/s]
Best score: 0.2105: : 740iter [01:24,  9.76iter/s]
Best score: 0.2105: : 740iter [01:24,  9.76iter/s]
Best score: 0.2105: : 741iter [01:24,  9.76iter/s]
Best score: 0.2105: : 742iter [01:24, 10.03iter/s]
Best score: 0.2105: : 742iter [01:24, 10.03iter/s]
Best score: 0.2105: : 743iter [01:24, 10.03iter/s]
Best score: 0.2105: : 744iter [01:24, 10.02iter/s]
Best score: 0.2105: : 744iter [01:24, 10.02iter/s]
Best score: 0.2105: : 745iter [01:24, 10.00iter/s]
Best score: 0.2105: : 745iter [01:25, 10.00iter/s]
Best score: 0.2105: : 746iter [01:25,  9.69iter/s]
Best score: 0.2105: : 746iter [01:25,  9.69iter/s]
Best score: 0.2105: : 747iter [01:25,  9.69iter/s]
Best score: 0.2105: : 748iter [01:25,  9.83iter/s]
Best score: 0.2105: : 748iter [01:25,  9.83iter/s]
[ITER 750] Best: 0.2105
[PARAMS] Current best parameters:
  fx: 494.6792
  fy: 494.3191
  px: 1016.1003
  py: 718.7276
  k1: 0.02094115
  k2: 0.03609426
  k3: -0.02541373
  k4: 0.00497944
  p1: 0.01840134
  p2: 0.01112994
  p3: 0.01628026
  p4: -0.00919612
  s1: -0.0212
  s2: 0.0075
  s3: -0.0400
  s4: 0.0099
  tilt_x: -0.0631
  tilt_y: 0.0140
  scale: 3.0352
  rotation: -0.3500

Best score: 0.2105: : 749iter [01:25,  9.83iter/s]
Best score: 0.2105: : 750iter [01:25,  9.82iter/s]
Best score: 0.2105: : 750iter [01:25,  9.82iter/s]
Best score: 0.2105: : 751iter [01:25,  6.06iter/s]
Best score: 0.2105: : 751iter [01:25,  6.06iter/s]
Best score: 0.2105: : 752iter [01:25,  6.62iter/s]
Best score: 0.2105: : 752iter [01:26,  6.62iter/s]
Best score: 0.2105: : 753iter [01:26,  7.14iter/s]
Best score: 0.2105: : 753iter [01:26,  7.14iter/s]
Best score: 0.2105: : 754iter [01:26,  7.61iter/s]
Best score: 0.2105: : 754iter [01:26,  7.61iter/s]
Best score: 0.2105: : 755iter [01:26,  8.09iter/s]
Best score: 0.2105: : 755iter [01:26,  8.09iter/s]
Best score: 0.2105: : 756iter [01:26,  8.43iter/s]
Best score: 0.2105: : 756iter [01:26,  8.43iter/s]
Best score: 0.2105: : 757iter [01:26,  8.70iter/s]
Best score: 0.2105: : 757iter [01:26,  8.70iter/s]
Best score: 0.2105: : 758iter [01:26,  8.80iter/s]
Best score: 0.2105: : 758iter [01:26,  8.80iter/s]
Best score: 0.2105: : 759iter [01:26,  8.93iter/s]
Best score: 0.2101: : 759iter [01:26,  8.93iter/s]
Best score: 0.2101: : 760iter [01:26,  8.95iter/s]
Best score: 0.2101: : 760iter [01:26,  8.95iter/s]
Best score: 0.2101: : 761iter [01:26,  9.20iter/s]
Best score: 0.2101: : 761iter [01:27,  9.20iter/s]
Best score: 0.2101: : 762iter [01:27,  9.40iter/s]
Best score: 0.2101: : 762iter [01:27,  9.40iter/s]
Best score: 0.2101: : 763iter [01:27,  9.40iter/s]
Best score: 0.2101: : 764iter [01:27,  9.80iter/s]
Best score: 0.2101: : 764iter [01:27,  9.80iter/s]
Best score: 0.2101: : 765iter [01:27,  9.80iter/s]
Best score: 0.2101: : 766iter [01:27,  9.94iter/s]
Best score: 0.2101: : 766iter [01:27,  9.94iter/s]
Best score: 0.2101: : 767iter [01:27,  9.94iter/s]
Best score: 0.2101: : 768iter [01:27, 10.07iter/s]
Best score: 0.2101: : 768iter [01:27, 10.07iter/s]
Best score: 0.2098: : 769iter [01:27, 10.07iter/s]
Best score: 0.2098: : 770iter [01:27,  9.73iter/s]
Best score: 0.2098: : 770iter [01:27,  9.73iter/s]
Best score: 0.2098: : 771iter [01:27,  9.75iter/s]
Best score: 0.2098: : 771iter [01:28,  9.75iter/s]
Best score: 0.2098: : 772iter [01:28,  9.75iter/s]
Best score: 0.2098: : 773iter [01:28,  9.87iter/s]
Best score: 0.2098: : 773iter [01:28,  9.87iter/s]
Best score: 0.2098: : 774iter [01:28,  9.80iter/s]
Best score: 0.2098: : 774iter [01:28,  9.80iter/s]
Best score: 0.2098: : 775iter [01:28,  9.76iter/s]
Best score: 0.2098: : 775iter [01:28,  9.76iter/s]
Best score: 0.2098: : 776iter [01:28,  9.70iter/s]
Best score: 0.2098: : 776iter [01:28,  9.70iter/s]
Best score: 0.2098: : 777iter [01:28,  9.59iter/s]
Best score: 0.2098: : 777iter [01:28,  9.59iter/s]
Best score: 0.2098: : 778iter [01:28,  9.61iter/s]
Best score: 0.2098: : 778iter [01:28,  9.61iter/s]
Best score: 0.2098: : 779iter [01:28,  9.61iter/s]
Best score: 0.2098: : 780iter [01:28,  9.59iter/s]
Best score: 0.2098: : 780iter [01:28,  9.59iter/s]
Best score: 0.2098: : 781iter [01:29,  9.59iter/s]
Best score: 0.2098: : 782iter [01:29,  9.64iter/s]
Best score: 0.2098: : 782iter [01:29,  9.64iter/s]
Best score: 0.2098: : 783iter [01:29,  9.45iter/s]
Best score: 0.2098: : 783iter [01:29,  9.45iter/s]
Best score: 0.2098: : 784iter [01:29,  9.42iter/s]
Best score: 0.2098: : 784iter [01:29,  9.42iter/s]
Best score: 0.2098: : 785iter [01:29,  9.53iter/s]
Best score: 0.2098: : 785iter [01:29,  9.53iter/s]
Best score: 0.2098: : 786iter [01:29,  9.53iter/s]
Best score: 0.2098: : 787iter [01:29,  9.56iter/s]
Best score: 0.2098: : 787iter [01:29,  9.56iter/s]
Best score: 0.2098: : 788iter [01:29,  9.63iter/s]
Best score: 0.2098: : 788iter [01:29,  9.63iter/s]
Best score: 0.2098: : 789iter [01:29,  9.72iter/s]
Best score: 0.2090: : 789iter [01:29,  9.72iter/s]
Best score: 0.2090: : 790iter [01:29,  9.59iter/s]
Best score: 0.2090: : 790iter [01:30,  9.59iter/s]
Best score: 0.2090: : 791iter [01:30,  9.63iter/s]
Best score: 0.2090: : 791iter [01:30,  9.63iter/s]
Best score: 0.2090: : 792iter [01:30,  9.31iter/s]
Best score: 0.2090: : 792iter [01:30,  9.31iter/s]
Best score: 0.2090: : 793iter [01:30,  9.20iter/s]
Best score: 0.2090: : 793iter [01:30,  9.20iter/s]
Best score: 0.2090: : 794iter [01:30,  9.22iter/s]
Best score: 0.2090: : 794iter [01:30,  9.22iter/s]
Best score: 0.2090: : 795iter [01:30,  9.18iter/s]
Best score: 0.2090: : 795iter [01:30,  9.18iter/s]
Best score: 0.2090: : 796iter [01:30,  9.38iter/s]
Best score: 0.2090: : 796iter [01:30,  9.38iter/s]
Best score: 0.2090: : 797iter [01:30,  9.38iter/s]
Best score: 0.2090: : 798iter [01:30,  9.83iter/s]
Best score: 0.2090: : 798iter [01:30,  9.83iter/s]
[ITER 800] Best: 0.2089
[PARAMS] Current best parameters:
  fx: 495.1366
  fy: 494.7585
  px: 1016.2460
  py: 718.7070
  k1: 0.01668031
  k2: 0.04192751
  k3: -0.02877684
  k4: 0.00568853
  p1: 0.01728013
  p2: 0.01123156
  p3: 0.01806522
  p4: -0.00978035
  s1: -0.0230
  s2: 0.0082
  s3: -0.0407
  s4: 0.0106
  tilt_x: -0.0611
  tilt_y: 0.0135
  scale: 3.0383
  rotation: -0.3612

Best score: 0.2089: : 799iter [01:30,  9.83iter/s]
Best score: 0.2089: : 800iter [01:30,  9.80iter/s]
Best score: 0.2089: : 800iter [01:31,  9.80iter/s]
Best score: 0.2089: : 801iter [01:31,  5.84iter/s]
Best score: 0.2089: : 801iter [01:31,  5.84iter/s]
Best score: 0.2089: : 802iter [01:31,  6.48iter/s]
Best score: 0.2089: : 802iter [01:31,  6.48iter/s]
Best score: 0.2089: : 803iter [01:31,  7.06iter/s]
Best score: 0.2089: : 803iter [01:31,  7.06iter/s]
Best score: 0.2089: : 804iter [01:31,  7.60iter/s]
Best score: 0.2089: : 804iter [01:31,  7.60iter/s]
Best score: 0.2089: : 805iter [01:31,  8.02iter/s]
Best score: 0.2089: : 805iter [01:31,  8.02iter/s]
Best score: 0.2089: : 806iter [01:31,  8.44iter/s]
Best score: 0.2089: : 806iter [01:32,  8.44iter/s]
Best score: 0.2089: : 807iter [01:32,  8.71iter/s]
Best score: 0.2089: : 807iter [01:32,  8.71iter/s]
Best score: 0.2089: : 808iter [01:32,  8.85iter/s]
Best score: 0.2089: : 808iter [01:32,  8.85iter/s]
Best score: 0.2080: : 809iter [01:32,  8.85iter/s]
Best score: 0.2080: : 810iter [01:32,  9.32iter/s]
Best score: 0.2080: : 810iter [01:32,  9.32iter/s]
Best score: 0.2080: : 811iter [01:32,  9.32iter/s]
Best score: 0.2080: : 812iter [01:32,  9.67iter/s]
Best score: 0.2080: : 812iter [01:32,  9.67iter/s]
Best score: 0.2080: : 813iter [01:32,  9.67iter/s]
Best score: 0.2080: : 814iter [01:32,  9.90iter/s]
Best score: 0.2080: : 814iter [01:32,  9.90iter/s]
Best score: 0.2080: : 815iter [01:32,  9.88iter/s]
Best score: 0.2080: : 815iter [01:32,  9.88iter/s]
Best score: 0.2080: : 816iter [01:32,  9.63iter/s]
Best score: 0.2080: : 816iter [01:33,  9.63iter/s]
Best score: 0.2080: : 817iter [01:33,  9.72iter/s]
Best score: 0.2080: : 817iter [01:33,  9.72iter/s]
Best score: 0.2080: : 818iter [01:33,  9.75iter/s]
Best score: 0.2080: : 818iter [01:33,  9.75iter/s]
Best score: 0.2080: : 819iter [01:33,  9.79iter/s]
Best score: 0.2070: : 819iter [01:33,  9.79iter/s]
Best score: 0.2070: : 820iter [01:33,  9.65iter/s]
Best score: 0.2070: : 820iter [01:33,  9.65iter/s]
Best score: 0.2070: : 821iter [01:33,  9.65iter/s]
Best score: 0.2070: : 822iter [01:33,  9.88iter/s]
Best score: 0.2070: : 822iter [01:33,  9.88iter/s]
Best score: 0.2070: : 823iter [01:33,  9.88iter/s]
Best score: 0.2070: : 824iter [01:33,  9.99iter/s]
Best score: 0.2070: : 824iter [01:33,  9.99iter/s]
Best score: 0.2070: : 825iter [01:33,  9.99iter/s]
Best score: 0.2070: : 826iter [01:33, 10.06iter/s]
Best score: 0.2070: : 826iter [01:34, 10.06iter/s]
Best score: 0.2070: : 827iter [01:34, 10.06iter/s]
Best score: 0.2070: : 828iter [01:34,  9.77iter/s]
Best score: 0.2070: : 828iter [01:34,  9.77iter/s]
Best score: 0.2070: : 829iter [01:34,  9.64iter/s]
Best score: 0.2062: : 829iter [01:34,  9.64iter/s]
Best score: 0.2062: : 830iter [01:34,  9.55iter/s]
Best score: 0.2062: : 830iter [01:34,  9.55iter/s]
Best score: 0.2062: : 831iter [01:34,  9.55iter/s]
Best score: 0.2062: : 832iter [01:34,  9.79iter/s]
Best score: 0.2062: : 832iter [01:34,  9.79iter/s]
Best score: 0.2062: : 833iter [01:34,  9.61iter/s]
Best score: 0.2062: : 833iter [01:34,  9.61iter/s]
Best score: 0.2062: : 834iter [01:34,  9.65iter/s]
Best score: 0.2062: : 834iter [01:34,  9.65iter/s]
Best score: 0.2062: : 835iter [01:34,  9.68iter/s]
Best score: 0.2062: : 835iter [01:34,  9.68iter/s]
Best score: 0.2062: : 836iter [01:34,  9.75iter/s]
Best score: 0.2062: : 836iter [01:35,  9.75iter/s]
Best score: 0.2062: : 837iter [01:35,  9.79iter/s]
Best score: 0.2062: : 837iter [01:35,  9.79iter/s]
Best score: 0.2062: : 838iter [01:35,  9.79iter/s]
Best score: 0.2062: : 839iter [01:35, 10.15iter/s]
Best score: 0.2044: : 839iter [01:35, 10.15iter/s]
Best score: 0.2044: : 840iter [01:35, 10.15iter/s]
Best score: 0.2044: : 841iter [01:35, 10.30iter/s]
Best score: 0.2044: : 841iter [01:35, 10.30iter/s]
Best score: 0.2044: : 842iter [01:35, 10.30iter/s]
Best score: 0.2044: : 843iter [01:35, 10.29iter/s]
Best score: 0.2044: : 843iter [01:35, 10.29iter/s]
Best score: 0.2044: : 844iter [01:35, 10.29iter/s]
Best score: 0.2044: : 845iter [01:35, 10.10iter/s]
Best score: 0.2044: : 845iter [01:35, 10.10iter/s]
Best score: 0.2044: : 846iter [01:36, 10.10iter/s]
Best score: 0.2044: : 847iter [01:36,  9.83iter/s]
Best score: 0.2044: : 847iter [01:36,  9.83iter/s]
Best score: 0.2044: : 848iter [01:36,  9.77iter/s]
Best score: 0.2044: : 848iter [01:36,  9.77iter/s]
[ITER 850] Best: 0.2039
[PARAMS] Current best parameters:
  fx: 494.0275
  fy: 493.6994
  px: 1014.8529
  py: 718.3369
  k1: 0.02444591
  k2: 0.03268897
  k3: -0.02462506
  k4: 0.00513027
  p1: 0.01594490
  p2: 0.01134389
  p3: 0.02461435
  p4: -0.01165894
  s1: -0.0303
  s2: 0.0097
  s3: -0.0465
  s4: 0.0126
  tilt_x: -0.0599
  tilt_y: 0.0201
  scale: 3.0331
  rotation: -0.3676

Best score: 0.2039: : 849iter [01:36,  9.77iter/s]
Best score: 0.2039: : 850iter [01:36,  9.73iter/s]
Best score: 0.2039: : 850iter [01:36,  9.73iter/s]
Best score: 0.2039: : 851iter [01:36,  6.02iter/s]
Best score: 0.2039: : 851iter [01:36,  6.02iter/s]
Best score: 0.2039: : 852iter [01:36,  6.52iter/s]
Best score: 0.2039: : 852iter [01:37,  6.52iter/s]
Best score: 0.2039: : 853iter [01:37,  6.52iter/s]
Best score: 0.2039: : 854iter [01:37,  7.63iter/s]
Best score: 0.2039: : 854iter [01:37,  7.63iter/s]
Best score: 0.2039: : 855iter [01:37,  7.63iter/s]
Best score: 0.2039: : 856iter [01:37,  8.25iter/s]
Best score: 0.2039: : 856iter [01:37,  8.25iter/s]
Best score: 0.2039: : 857iter [01:37,  8.25iter/s]
Best score: 0.2039: : 858iter [01:37,  8.83iter/s]
Best score: 0.2039: : 858iter [01:37,  8.83iter/s]
Best score: 0.2038: : 859iter [01:37,  8.83iter/s]
Best score: 0.2038: : 860iter [01:37,  9.19iter/s]
Best score: 0.2038: : 860iter [01:37,  9.19iter/s]
Best score: 0.2038: : 861iter [01:37,  9.32iter/s]
Best score: 0.2038: : 861iter [01:37,  9.32iter/s]
Best score: 0.2038: : 862iter [01:37,  9.32iter/s]
Best score: 0.2038: : 863iter [01:37,  9.73iter/s]
Best score: 0.2038: : 863iter [01:38,  9.73iter/s]
Best score: 0.2038: : 864iter [01:38,  9.73iter/s]
Best score: 0.2038: : 865iter [01:38,  9.88iter/s]
Best score: 0.2038: : 865iter [01:38,  9.88iter/s]
Best score: 0.2038: : 866iter [01:38,  9.88iter/s]
Best score: 0.2038: : 867iter [01:38,  9.92iter/s]
Best score: 0.2038: : 867iter [01:38,  9.92iter/s]
Best score: 0.2038: : 868iter [01:38,  9.92iter/s]
Best score: 0.2038: : 869iter [01:38,  9.69iter/s]
Best score: 0.2035: : 869iter [01:38,  9.69iter/s]
Best score: 0.2035: : 870iter [01:38,  9.59iter/s]
Best score: 0.2035: : 870iter [01:38,  9.59iter/s]
Best score: 0.2035: : 871iter [01:38,  9.59iter/s]
Best score: 0.2035: : 872iter [01:38, 10.00iter/s]
Best score: 0.2035: : 872iter [01:38, 10.00iter/s]
Best score: 0.2035: : 873iter [01:39, 10.00iter/s]
Best score: 0.2035: : 874iter [01:39, 10.17iter/s]
Best score: 0.2035: : 874iter [01:39, 10.17iter/s]
Best score: 0.2035: : 875iter [01:39, 10.17iter/s]
Best score: 0.2035: : 876iter [01:39,  9.98iter/s]
Best score: 0.2035: : 876iter [01:39,  9.98iter/s]
Best score: 0.2035: : 877iter [01:39,  9.98iter/s]
Best score: 0.2035: : 877iter [01:39,  9.98iter/s]
Best score: 0.2035: : 878iter [01:39,  9.98iter/s]
Best score: 0.2035: : 879iter [01:39, 10.06iter/s]
Best score: 0.2034: : 879iter [01:39, 10.06iter/s]
Best score: 0.2034: : 880iter [01:39, 10.06iter/s]
Best score: 0.2034: : 881iter [01:39,  9.80iter/s]
Best score: 0.2034: : 881iter [01:39,  9.80iter/s]
Best score: 0.2034: : 882iter [01:39,  9.80iter/s]
Best score: 0.2034: : 883iter [01:39, 10.04iter/s]
Best score: 0.2034: : 883iter [01:40, 10.04iter/s]
Best score: 0.2034: : 884iter [01:40, 10.04iter/s]
Best score: 0.2034: : 885iter [01:40, 10.33iter/s]
Best score: 0.2034: : 885iter [01:40, 10.33iter/s]
Best score: 0.2034: : 886iter [01:40, 10.33iter/s]
Best score: 0.2034: : 887iter [01:40, 10.24iter/s]
Best score: 0.2034: : 887iter [01:40, 10.24iter/s]
Best score: 0.2034: : 888iter [01:40, 10.24iter/s]
Best score: 0.2034: : 889iter [01:40, 10.29iter/s]
Best score: 0.2032: : 889iter [01:40, 10.29iter/s]
Best score: 0.2032: : 890iter [01:40, 10.29iter/s]
Best score: 0.2032: : 891iter [01:40, 10.22iter/s]
Best score: 0.2032: : 891iter [01:40, 10.22iter/s]
Best score: 0.2032: : 892iter [01:40, 10.22iter/s]
Best score: 0.2032: : 893iter [01:40, 10.04iter/s]
Best score: 0.2032: : 893iter [01:41, 10.04iter/s]
Best score: 0.2032: : 894iter [01:41, 10.04iter/s]
Best score: 0.2032: : 895iter [01:41, 10.08iter/s]
Best score: 0.2032: : 895iter [01:41, 10.08iter/s]
Best score: 0.2032: : 896iter [01:41, 10.08iter/s]
Best score: 0.2032: : 897iter [01:41, 10.17iter/s]
Best score: 0.2032: : 897iter [01:41, 10.17iter/s]
Best score: 0.2032: : 898iter [01:41, 10.17iter/s]
Best score: 0.2032: : 899iter [01:41, 10.29iter/s]
[ITER 900] Best: 0.2025
[PARAMS] Current best parameters:
  fx: 492.4188
  fy: 492.1115
  px: 1014.1010
  py: 718.1726
  k1: 0.03281322
  k2: 0.02334558
  k3: -0.02008308
  k4: 0.00436772
  p1: 0.01549599
  p2: 0.01199520
  p3: 0.02632432
  p4: -0.01186217
  s1: -0.0336
  s2: 0.0102
  s3: -0.0477
  s4: 0.0126
  tilt_x: -0.0597
  tilt_y: 0.0249
  scale: 3.0273
  rotation: -0.3692

Best score: 0.2025: : 899iter [01:41, 10.29iter/s]
Best score: 0.2025: : 900iter [01:42, 10.29iter/s]
Best score: 0.2025: : 901iter [01:42,  6.91iter/s]
Best score: 0.2025: : 901iter [01:42,  6.91iter/s]
Best score: 0.2025: : 902iter [01:42,  6.91iter/s]
Best score: 0.2025: : 903iter [01:42,  7.78iter/s]
Best score: 0.2025: : 903iter [01:42,  7.78iter/s]
Best score: 0.2025: : 904iter [01:42,  7.78iter/s]
Best score: 0.2025: : 905iter [01:42,  8.34iter/s]
Best score: 0.2025: : 905iter [01:42,  8.34iter/s]
Best score: 0.2025: : 906iter [01:42,  8.34iter/s]
Best score: 0.2025: : 907iter [01:42,  8.89iter/s]
Best score: 0.2025: : 907iter [01:42,  8.89iter/s]
Best score: 0.2025: : 908iter [01:42,  8.89iter/s]
Best score: 0.2025: : 909iter [01:42,  9.26iter/s]
Best score: 0.2025: : 909iter [01:42,  9.26iter/s]
Best score: 0.2025: : 910iter [01:42,  9.26iter/s]
Best score: 0.2025: : 910iter [01:43,  9.26iter/s]
Best score: 0.2025: : 911iter [01:43,  9.26iter/s]
Best score: 0.2025: : 912iter [01:43,  9.52iter/s]
Best score: 0.2025: : 912iter [01:43,  9.52iter/s]
Best score: 0.2025: : 913iter [01:43,  9.52iter/s]
Best score: 0.2025: : 914iter [01:43,  9.78iter/s]
Best score: 0.2025: : 914iter [01:43,  9.78iter/s]
Best score: 0.2025: : 915iter [01:43,  9.78iter/s]
Best score: 0.2025: : 916iter [01:43, 10.05iter/s]
Best score: 0.2025: : 916iter [01:43, 10.05iter/s]
Best score: 0.2025: : 917iter [01:43, 10.05iter/s]
Best score: 0.2025: : 918iter [01:43, 10.18iter/s]
Best score: 0.2025: : 918iter [01:43, 10.18iter/s]
Best score: 0.2025: : 919iter [01:43, 10.18iter/s]
Best score: 0.2025: : 920iter [01:43, 10.11iter/s]
Best score: 0.2025: : 920iter [01:43, 10.11iter/s]
Best score: 0.2025: : 921iter [01:44, 10.11iter/s]
Best score: 0.2025: : 922iter [01:44, 10.40iter/s]
Best score: 0.2025: : 922iter [01:44, 10.40iter/s]
Best score: 0.2025: : 923iter [01:44, 10.40iter/s]
Best score: 0.2025: : 924iter [01:44, 10.53iter/s]
Best score: 0.2025: : 924iter [01:44, 10.53iter/s]
Best score: 0.2025: : 925iter [01:44, 10.53iter/s]
Best score: 0.2025: : 926iter [01:44, 10.48iter/s]
Best score: 0.2025: : 926iter [01:44, 10.48iter/s]
Best score: 0.2025: : 927iter [01:44, 10.48iter/s]
Best score: 0.2025: : 928iter [01:44, 10.39iter/s]
Best score: 0.2025: : 928iter [01:44, 10.39iter/s]
Best score: 0.2025: : 929iter [01:44, 10.39iter/s]
Best score: 0.2025: : 930iter [01:44, 10.22iter/s]
Best score: 0.2025: : 930iter [01:44, 10.22iter/s]
Best score: 0.2025: : 931iter [01:45, 10.22iter/s]
Best score: 0.2025: : 932iter [01:45, 10.16iter/s]
Best score: 0.2025: : 932iter [01:45, 10.16iter/s]
Best score: 0.2025: : 933iter [01:45, 10.16iter/s]
Best score: 0.2025: : 934iter [01:45,  9.95iter/s]
Best score: 0.2025: : 934iter [01:45,  9.95iter/s]
Best score: 0.2025: : 935iter [01:45,  9.93iter/s]
Best score: 0.2025: : 935iter [01:45,  9.93iter/s]
Best score: 0.2025: : 936iter [01:45,  9.93iter/s]
Best score: 0.2025: : 937iter [01:45, 10.05iter/s]
Best score: 0.2025: : 937iter [01:45, 10.05iter/s]
Best score: 0.2025: : 938iter [01:45, 10.05iter/s]
Best score: 0.2025: : 939iter [01:45, 10.39iter/s]
Best score: 0.2023: : 939iter [01:45, 10.39iter/s]
Best score: 0.2023: : 940iter [01:45, 10.39iter/s]
Best score: 0.2023: : 941iter [01:45, 10.30iter/s]
Best score: 0.2023: : 941iter [01:46, 10.30iter/s]
Best score: 0.2023: : 942iter [01:46, 10.30iter/s]
Best score: 0.2023: : 943iter [01:46, 10.55iter/s]
Best score: 0.2023: : 943iter [01:46, 10.55iter/s]
Best score: 0.2023: : 944iter [01:46, 10.55iter/s]
Best score: 0.2023: : 945iter [01:46, 10.42iter/s]
Best score: 0.2023: : 945iter [01:46, 10.42iter/s]
Best score: 0.2023: : 946iter [01:46, 10.42iter/s]
Best score: 0.2023: : 947iter [01:46, 10.32iter/s]
Best score: 0.2023: : 947iter [01:46, 10.32iter/s]
Best score: 0.2023: : 948iter [01:46, 10.32iter/s]
Best score: 0.2023: : 949iter [01:46, 10.24iter/s]
[ITER 950] Best: 0.2022
[PARAMS] Current best parameters:
  fx: 492.6662
  fy: 492.3764
  px: 1014.0997
  py: 717.8545
  k1: 0.02824150
  k2: 0.03038678
  k3: -0.02421748
  k4: 0.00521348
  p1: 0.01441391
  p2: 0.01193919
  p3: 0.02725033
  p4: -0.01160213
  s1: -0.0345
  s2: 0.0100
  s3: -0.0478
  s4: 0.0124
  tilt_x: -0.0589
  tilt_y: 0.0248
  scale: 3.0301
  rotation: -0.3729

Best score: 0.2022: : 949iter [01:46, 10.24iter/s]
Best score: 0.2022: : 950iter [01:47, 10.24iter/s]
Best score: 0.2022: : 951iter [01:47,  6.84iter/s]
Best score: 0.2022: : 951iter [01:47,  6.84iter/s]
Best score: 0.2022: : 952iter [01:47,  7.21iter/s]
Best score: 0.2022: : 952iter [01:47,  7.21iter/s]
Best score: 0.2022: : 953iter [01:47,  7.21iter/s]
Best score: 0.2022: : 954iter [01:47,  7.97iter/s]
Best score: 0.2022: : 954iter [01:47,  7.97iter/s]
Best score: 0.2022: : 955iter [01:47,  7.97iter/s]
Best score: 0.2022: : 956iter [01:47,  8.51iter/s]
Best score: 0.2022: : 956iter [01:47,  8.51iter/s]
Best score: 0.2022: : 957iter [01:47,  8.72iter/s]
Best score: 0.2022: : 957iter [01:47,  8.72iter/s]
Best score: 0.2022: : 958iter [01:47,  8.82iter/s]
Best score: 0.2022: : 958iter [01:48,  8.82iter/s]
Best score: 0.2022: : 959iter [01:48,  9.07iter/s]
Best score: 0.2022: : 959iter [01:48,  9.07iter/s]
Best score: 0.2022: : 960iter [01:48,  9.16iter/s]
Best score: 0.2022: : 960iter [01:48,  9.16iter/s]
Best score: 0.2022: : 961iter [01:48,  9.16iter/s]
Best score: 0.2022: : 962iter [01:48,  9.87iter/s]
Best score: 0.2022: : 962iter [01:48,  9.87iter/s]
Best score: 0.2022: : 963iter [01:48,  9.86iter/s]
Best score: 0.2022: : 963iter [01:48,  9.86iter/s]
Best score: 0.2022: : 964iter [01:48,  9.82iter/s]
Best score: 0.2022: : 964iter [01:48,  9.82iter/s]
Best score: 0.2022: : 965iter [01:48,  9.67iter/s]
Best score: 0.2022: : 965iter [01:48,  9.67iter/s]
Best score: 0.2022: : 966iter [01:48,  9.75iter/s]
Best score: 0.2022: : 966iter [01:48,  9.75iter/s]
Best score: 0.2022: : 967iter [01:48,  9.77iter/s]
Best score: 0.2022: : 967iter [01:48,  9.77iter/s]
Best score: 0.2022: : 968iter [01:49,  9.77iter/s]
Best score: 0.2022: : 969iter [01:49,  9.85iter/s]
Best score: 0.2022: : 969iter [01:49,  9.85iter/s]
Best score: 0.2022: : 970iter [01:49,  9.70iter/s]
Best score: 0.2022: : 970iter [01:49,  9.70iter/s]
Best score: 0.2022: : 971iter [01:49,  9.70iter/s]
Best score: 0.2022: : 972iter [01:49,  9.81iter/s]
Best score: 0.2022: : 972iter [01:49,  9.81iter/s]
Best score: 0.2022: : 973iter [01:49,  9.81iter/s]
Best score: 0.2022: : 974iter [01:49, 10.27iter/s]
Best score: 0.2022: : 974iter [01:49, 10.27iter/s]
Best score: 0.2022: : 975iter [01:49, 10.27iter/s]
Best score: 0.2022: : 976iter [01:49, 10.23iter/s]
Best score: 0.2022: : 976iter [01:49, 10.23iter/s]
Best score: 0.2022: : 977iter [01:49, 10.23iter/s]
Best score: 0.2022: : 978iter [01:49, 10.11iter/s]
Best score: 0.2022: : 978iter [01:50, 10.11iter/s]
Best score: 0.2020: : 979iter [01:50, 10.11iter/s]
Best score: 0.2020: : 980iter [01:50,  9.87iter/s]
Best score: 0.2020: : 980iter [01:50,  9.87iter/s]
Best score: 0.2020: : 981iter [01:50,  9.84iter/s]
Best score: 0.2020: : 981iter [01:50,  9.84iter/s]
Best score: 0.2020: : 982iter [01:50,  9.84iter/s]
Best score: 0.2020: : 983iter [01:50,  9.95iter/s]
Best score: 0.2020: : 983iter [01:50,  9.95iter/s]
Best score: 0.2020: : 984iter [01:50,  9.95iter/s]
Best score: 0.2020: : 985iter [01:50,  9.98iter/s]
Best score: 0.2020: : 985iter [01:50,  9.98iter/s]
Best score: 0.2020: : 986iter [01:50,  9.95iter/s]
Best score: 0.2020: : 986iter [01:50,  9.95iter/s]
Best score: 0.2020: : 987iter [01:50,  9.95iter/s]
Best score: 0.2020: : 988iter [01:50, 10.35iter/s]
Best score: 0.2020: : 988iter [01:51, 10.35iter/s]
Best score: 0.2019: : 989iter [01:51, 10.35iter/s]
Best score: 0.2019: : 990iter [01:51, 10.37iter/s]
Best score: 0.2019: : 990iter [01:51, 10.37iter/s]
Best score: 0.2019: : 991iter [01:51, 10.37iter/s]
Best score: 0.2019: : 992iter [01:51, 10.31iter/s]
Best score: 0.2019: : 992iter [01:51, 10.31iter/s]
Best score: 0.2019: : 993iter [01:51, 10.31iter/s]
Best score: 0.2019: : 994iter [01:51, 10.00iter/s]
Best score: 0.2019: : 994iter [01:51, 10.00iter/s]
Best score: 0.2019: : 995iter [01:51, 10.00iter/s]
Best score: 0.2019: : 996iter [01:51,  9.82iter/s]
Best score: 0.2019: : 996iter [01:51,  9.82iter/s]
Best score: 0.2019: : 997iter [01:51,  9.82iter/s]
Best score: 0.2019: : 998iter [01:51,  9.91iter/s]
Best score: 0.2019: : 998iter [01:52,  9.91iter/s]
Best score: 0.2019: : 999iter [01:52,  9.79iter/s]
[ITER 1000] Best: 0.2016
[PARAMS] Current best parameters:
  fx: 491.8799
  fy: 491.5540
  px: 1014.0736
  py: 717.9904
  k1: 0.03412833
  k2: 0.02237035
  k3: -0.01946039
  k4: 0.00419372
  p1: 0.01497869
  p2: 0.01188917
  p3: 0.02592137
  p4: -0.01119629
  s1: -0.0331
  s2: 0.0096
  s3: -0.0469
  s4: 0.0120
  tilt_x: -0.0595
  tilt_y: 0.0248
  scale: 3.0258
  rotation: -0.3746

Best score: 0.2016: : 999iter [01:52,  9.79iter/s]
Best score: 0.2016: : 1000iter [01:52,  9.56iter/s]
Best score: 0.2016: : 1000iter [01:52,  9.56iter/s]
Best score: 0.2016: : 1001iter [01:52,  5.74iter/s]
Best score: 0.2016: : 1001iter [01:52,  5.74iter/s]
Best score: 0.2016: : 1002iter [01:52,  6.37iter/s]
Best score: 0.2016: : 1002iter [01:52,  6.37iter/s]
Best score: 0.2016: : 1003iter [01:52,  6.37iter/s]
Best score: 0.2016: : 1004iter [01:52,  7.58iter/s]
Best score: 0.2016: : 1004iter [01:52,  7.58iter/s]
Best score: 0.2016: : 1005iter [01:53,  7.58iter/s]
Best score: 0.2016: : 1006iter [01:53,  8.38iter/s]
Best score: 0.2016: : 1006iter [01:53,  8.38iter/s]
Best score: 0.2016: : 1007iter [01:53,  8.38iter/s]
Best score: 0.2016: : 1008iter [01:53,  9.02iter/s]
Best score: 0.2016: : 1008iter [01:53,  9.02iter/s]
Best score: 0.2015: : 1009iter [01:53,  9.02iter/s]
Best score: 0.2015: : 1010iter [01:53,  9.24iter/s]
Best score: 0.2015: : 1010iter [01:53,  9.24iter/s]
Best score: 0.2015: : 1011iter [01:53,  9.24iter/s]
Best score: 0.2015: : 1012iter [01:53,  9.54iter/s]
Best score: 0.2015: : 1012iter [01:53,  9.54iter/s]
Best score: 0.2015: : 1013iter [01:53,  9.54iter/s]
Best score: 0.2015: : 1014iter [01:53,  9.92iter/s]
Best score: 0.2015: : 1014iter [01:53,  9.92iter/s]
Best score: 0.2015: : 1015iter [01:54,  9.92iter/s]
Best score: 0.2015: : 1016iter [01:54,  9.83iter/s]
Best score: 0.2015: : 1016iter [01:54,  9.83iter/s]
Best score: 0.2015: : 1017iter [01:54,  9.83iter/s]
Best score: 0.2015: : 1018iter [01:54,  9.91iter/s]
Best score: 0.2015: : 1018iter [01:54,  9.91iter/s]
Best score: 0.2014: : 1019iter [01:54,  9.91iter/s]
Best score: 0.2014: : 1020iter [01:54,  9.78iter/s]
Best score: 0.2014: : 1020iter [01:54,  9.78iter/s]
Best score: 0.2014: : 1021iter [01:54,  9.80iter/s]
Best score: 0.2014: : 1021iter [01:54,  9.80iter/s]
Best score: 0.2014: : 1022iter [01:54,  9.83iter/s]
Best score: 0.2014: : 1022iter [01:54,  9.83iter/s]
Best score: 0.2014: : 1023iter [01:54,  9.72iter/s]
Best score: 0.2014: : 1023iter [01:54,  9.72iter/s]
Best score: 0.2014: : 1024iter [01:54,  9.65iter/s]
Best score: 0.2014: : 1024iter [01:54,  9.65iter/s]
Best score: 0.2014: : 1025iter [01:54,  9.71iter/s]
Best score: 0.2014: : 1025iter [01:55,  9.71iter/s]
Best score: 0.2014: : 1026iter [01:55,  9.71iter/s]
Best score: 0.2014: : 1027iter [01:55,  9.98iter/s]
Best score: 0.2014: : 1027iter [01:55,  9.98iter/s]
Best score: 0.2014: : 1028iter [01:55,  9.97iter/s]
Best score: 0.2014: : 1028iter [01:55,  9.97iter/s]
Best score: 0.2014: : 1029iter [01:55,  9.97iter/s]
Best score: 0.2014: : 1030iter [01:55,  9.76iter/s]
Best score: 0.2014: : 1030iter [01:55,  9.76iter/s]
Best score: 0.2014: : 1031iter [01:55,  9.76iter/s]
Best score: 0.2014: : 1032iter [01:55, 10.01iter/s]
Best score: 0.2014: : 1032iter [01:55, 10.01iter/s]
Best score: 0.2014: : 1033iter [01:55, 10.01iter/s]
Best score: 0.2014: : 1034iter [01:55, 10.19iter/s]
Best score: 0.2014: : 1034iter [01:55, 10.19iter/s]
Best score: 0.2014: : 1035iter [01:56, 10.19iter/s]
Best score: 0.2014: : 1036iter [01:56, 10.10iter/s]
Best score: 0.2014: : 1036iter [01:56, 10.10iter/s]
Best score: 0.2014: : 1037iter [01:56, 10.10iter/s]
Best score: 0.2014: : 1038iter [01:56, 10.21iter/s]
Best score: 0.2014: : 1038iter [01:56, 10.21iter/s]
Best score: 0.2010: : 1039iter [01:56, 10.21iter/s]
Best score: 0.2010: : 1040iter [01:56,  9.80iter/s]
Best score: 0.2010: : 1040iter [01:56,  9.80iter/s]
Best score: 0.2010: : 1041iter [01:56,  9.78iter/s]
Best score: 0.2010: : 1041iter [01:56,  9.78iter/s]
Best score: 0.2010: : 1042iter [01:56,  9.77iter/s]
Best score: 0.2010: : 1042iter [01:56,  9.77iter/s]
Best score: 0.2010: : 1043iter [01:56,  9.77iter/s]
Best score: 0.2010: : 1044iter [01:56,  9.90iter/s]
Best score: 0.2010: : 1044iter [01:56,  9.90iter/s]
Best score: 0.2010: : 1045iter [01:57,  9.90iter/s]
Best score: 0.2010: : 1046iter [01:57, 10.02iter/s]
Best score: 0.2010: : 1046iter [01:57, 10.02iter/s]
Best score: 0.2010: : 1047iter [01:57, 10.02iter/s]
Best score: 0.2010: : 1048iter [01:57, 10.10iter/s]
Best score: 0.2010: : 1048iter [01:57, 10.10iter/s]
[ITER 1050] Best: 0.2006
[PARAMS] Current best parameters:
  fx: 491.7495
  fy: 491.3469
  px: 1014.1286
  py: 717.5468
  k1: 0.03537383
  k2: 0.02085017
  k3: -0.01860159
  k4: 0.00401192
  p1: 0.01447645
  p2: 0.00979196
  p3: 0.02800110
  p4: -0.01114260
  s1: -0.0334
  s2: 0.0097
  s3: -0.0492
  s4: 0.0122
  tilt_x: -0.0604
  tilt_y: 0.0202
  scale: 3.0243
  rotation: -0.3655

Best score: 0.2006: : 1049iter [01:57, 10.10iter/s]
Best score: 0.2006: : 1050iter [01:57, 10.02iter/s]
Best score: 0.2006: : 1050iter [01:57, 10.02iter/s]
Best score: 0.2006: : 1051iter [01:57, 10.02iter/s]
Best score: 0.2006: : 1052iter [01:57,  6.79iter/s]
Best score: 0.2006: : 1052iter [01:58,  6.79iter/s]
Best score: 0.2006: : 1053iter [01:58,  6.79iter/s]
Best score: 0.2006: : 1054iter [01:58,  7.62iter/s]
Best score: 0.2006: : 1054iter [01:58,  7.62iter/s]
Best score: 0.2006: : 1055iter [01:58,  7.62iter/s]
Best score: 0.2006: : 1056iter [01:58,  8.41iter/s]
Best score: 0.2006: : 1056iter [01:58,  8.41iter/s]
Best score: 0.2006: : 1057iter [01:58,  8.41iter/s]
Best score: 0.2006: : 1058iter [01:58,  8.97iter/s]
Best score: 0.2006: : 1058iter [01:58,  8.97iter/s]
Best score: 0.2006: : 1059iter [01:58,  8.97iter/s]
Best score: 0.2006: : 1060iter [01:58,  9.21iter/s]
Best score: 0.2006: : 1060iter [01:58,  9.21iter/s]
Best score: 0.2006: : 1061iter [01:58,  9.21iter/s]
Best score: 0.2006: : 1062iter [01:58,  9.48iter/s]
Best score: 0.2006: : 1062iter [01:59,  9.48iter/s]
Best score: 0.2006: : 1063iter [01:59,  9.56iter/s]
Best score: 0.2006: : 1063iter [01:59,  9.56iter/s]
Best score: 0.2006: : 1064iter [01:59,  9.60iter/s]
Best score: 0.2006: : 1064iter [01:59,  9.60iter/s]
Best score: 0.2006: : 1065iter [01:59,  9.60iter/s]
Best score: 0.2006: : 1066iter [01:59,  9.77iter/s]
Best score: 0.2006: : 1066iter [01:59,  9.77iter/s]
Best score: 0.2006: : 1067iter [01:59,  9.77iter/s]
Best score: 0.2006: : 1068iter [01:59,  9.77iter/s]
Best score: 0.2006: : 1068iter [01:59,  9.77iter/s]
Best score: 0.2005: : 1069iter [01:59,  9.77iter/s]
Best score: 0.2005: : 1070iter [01:59,  9.88iter/s]
Best score: 0.2005: : 1070iter [01:59,  9.88iter/s]
Best score: 0.2005: : 1071iter [01:59,  9.88iter/s]
Best score: 0.2005: : 1072iter [01:59, 10.05iter/s]
Best score: 0.2005: : 1072iter [02:00, 10.05iter/s]
Best score: 0.2005: : 1073iter [02:00, 10.05iter/s]
Best score: 0.2005: : 1074iter [02:00, 10.21iter/s]
Best score: 0.2005: : 1074iter [02:00, 10.21iter/s]
Best score: 0.2005: : 1075iter [02:00, 10.21iter/s]
Best score: 0.2005: : 1076iter [02:00, 10.20iter/s]
Best score: 0.2005: : 1076iter [02:00, 10.20iter/s]
Best score: 0.2005: : 1077iter [02:00, 10.20iter/s]
Best score: 0.2005: : 1078iter [02:00, 10.03iter/s]
Best score: 0.2005: : 1078iter [02:00, 10.03iter/s]
Best score: 0.2004: : 1079iter [02:00, 10.03iter/s]
Best score: 0.2004: : 1080iter [02:00,  9.95iter/s]
Best score: 0.2004: : 1080iter [02:00,  9.95iter/s]
Best score: 0.2004: : 1081iter [02:00,  9.95iter/s]
Best score: 0.2004: : 1082iter [02:00, 10.11iter/s]
Best score: 0.2004: : 1082iter [02:01, 10.11iter/s]
Best score: 0.2004: : 1083iter [02:01, 10.11iter/s]
Best score: 0.2004: : 1084iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1084iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1085iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1086iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1086iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1087iter [02:01, 10.07iter/s]
Best score: 0.2004: : 1088iter [02:01,  9.93iter/s]
Best score: 0.2004: : 1088iter [02:01,  9.93iter/s]
Best score: 0.2004: : 1089iter [02:01,  9.79iter/s]
Best score: 0.2004: : 1089iter [02:01,  9.79iter/s]
Best score: 0.2004: : 1090iter [02:01,  9.49iter/s]
Best score: 0.2004: : 1090iter [02:01,  9.49iter/s]
Best score: 0.2004: : 1091iter [02:01,  9.49iter/s]
Best score: 0.2004: : 1092iter [02:01,  9.84iter/s]
Best score: 0.2004: : 1092iter [02:02,  9.84iter/s]
Best score: 0.2004: : 1093iter [02:02,  9.84iter/s]
Best score: 0.2004: : 1094iter [02:02,  9.95iter/s]
Best score: 0.2004: : 1094iter [02:02,  9.95iter/s]
Best score: 0.2004: : 1095iter [02:02,  9.68iter/s]
Best score: 0.2004: : 1095iter [02:02,  9.68iter/s]
Best score: 0.2004: : 1096iter [02:02,  9.65iter/s]
Best score: 0.2004: : 1096iter [02:02,  9.65iter/s]
Best score: 0.2004: : 1097iter [02:02,  9.59iter/s]
Best score: 0.2004: : 1097iter [02:02,  9.59iter/s]
Best score: 0.2004: : 1098iter [02:02,  9.67iter/s]
Best score: 0.2004: : 1098iter [02:02,  9.67iter/s]
Best score: 0.2004: : 1099iter [02:02,  9.66iter/s]
[ITER 1100] Best: 0.2003
[PARAMS] Current best parameters:
  fx: 490.3747
  fy: 490.0127
  px: 1013.8949
  py: 716.8111
  k1: 0.03909125
  k2: 0.01707089
  k3: -0.01629626
  k4: 0.00349951
  p1: 0.01247731
  p2: 0.00884398
  p3: 0.02994981
  p4: -0.01093315
  s1: -0.0346
  s2: 0.0095
  s3: -0.0499
  s4: 0.0120
  tilt_x: -0.0594
  tilt_y: 0.0192
  scale: 3.0227
  rotation: -0.3617

Best score: 0.2003: : 1099iter [02:02,  9.66iter/s]
Best score: 0.2003: : 1100iter [02:02,  9.07iter/s]
Best score: 0.2003: : 1100iter [02:03,  8.93iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish did not improve score: 0.200329

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,572 → 93,084 within 3500mm ring
  Ring polish did not improve score: 0.200329
  Success: False
  Tangential distortion: p1=0.012477, p2=0.008844, p3=0.029950, p4=-0.010933
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.2003
[✅] Parameters copied to: /working/MDC048_W021(6)_2026-10-13/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 490.3746511831844
    fy: 490.0126754650507
    px: 1013.8948638530453
    py: 716.8111148425957
    k1: 0.0390912541705533
    k2: 0.01707089127961957
    k3: -0.01629626361742645
    k4: 0.003499512531690663
    p1: 0.012477313326315066
    p2: 0.008843976908694573
    p3: 0.029949808711527984
    p4: -0.010933145069838168
    scale: 3.022667037399028
    rotation: -0.3616880240456083
    mmpp: 3.4265783747565255

[🔄] Converting 2459 frames to PTD, creating debug images for 400 calibration frames...

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   🔄 2000R:  98%|█████████▊| 532/541 [00:02<00:00, 176.52frame/s]

                                                                  
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   🔄 2000L:  61%|██████    | 336/551 [00:01<00:01, 176.75frame/s]

   🔄 2000L:  64%|██████▍   | 354/551 [00:01<00:01, 176.56frame/s]

   🔄 2000L:  68%|██████▊   | 372/551 [00:02<00:01, 177.21frame/s]

   🔄 2000L:  71%|███████   | 390/551 [00:02<00:00, 177.61frame/s]

   🔄 2000L:  74%|███████▍  | 408/551 [00:02<00:00, 178.02frame/s]

   🔄 2000L:  77%|███████▋  | 426/551 [00:02<00:00, 177.97frame/s]

   🔄 2000L:  81%|████████  | 444/551 [00:02<00:00, 178.22frame/s]

   🔄 2000L:  84%|████████▍ | 462/551 [00:02<00:00, 178.08frame/s]

   🔄 2000L:  87%|████████▋ | 480/551 [00:02<00:00, 177.59frame/s]

   🔄 2000L:  90%|█████████ | 498/551 [00:02<00:00, 177.39frame/s]

   🔄 2000L:  94%|█████████▎| 516/551 [00:02<00:00, 176.88frame/s]

   🔄 2000L:  97%|█████████▋| 534/551 [00:02<00:00, 176.21frame/s]

                                                                  
📁 Rigs:  50%|█████     | 2/4 [00:11<00:11,  5.60s/rig]

   🔄 1500:   0%|          | 0/782 [00:00<?, ?frame/s]

   🔄 1500:   2%|▏         | 19/782 [00:00<00:04, 185.80frame/s]

   🔄 1500:   5%|▍         | 38/782 [00:00<00:04, 179.75frame/s]

   🔄 1500:   7%|▋         | 56/782 [00:00<00:04, 177.33frame/s]

   🔄 1500:   9%|▉         | 74/782 [00:00<00:03, 177.05frame/s]

   🔄 1500:  12%|█▏        | 92/782 [00:00<00:03, 177.66frame/s]

   🔄 1500:  14%|█▍        | 110/782 [00:00<00:03, 178.21frame/s]

   🔄 1500:  16%|█▋        | 128/782 [00:00<00:03, 178.25frame/s]

   🔄 1500:  19%|█▊        | 146/782 [00:00<00:03, 178.18frame/s]

   🔄 1500:  21%|██        | 164/782 [00:00<00:03, 178.66frame/s]

   🔄 1500:  23%|██▎       | 182/782 [00:01<00:03, 178.87frame/s]

   🔄 1500:  26%|██▌       | 200/782 [00:01<00:03, 179.15frame/s]

   🔄 1500:  28%|██▊       | 218/782 [00:01<00:03, 179.04frame/s]

   🔄 1500:  30%|███       | 236/782 [00:01<00:03, 178.87frame/s]

   🔄 1500:  32%|███▏      | 254/782 [00:01<00:02, 178.65frame/s]

   🔄 1500:  35%|███▍      | 272/782 [00:01<00:02, 178.93frame/s]

   🔄 1500:  37%|███▋      | 291/782 [00:01<00:02, 179.40frame/s]

   🔄 1500:  40%|███▉      | 309/782 [00:01<00:02, 179.48frame/s]

   🔄 1500:  42%|████▏     | 327/782 [00:01<00:02, 179.30frame/s]

   🔄 1500:  44%|████▍     | 346/782 [00:01<00:02, 180.20frame/s]

   🔄 1500:  47%|████▋     | 365/782 [00:02<00:02, 181.06frame/s]

   🔄 1500:  49%|████▉     | 384/782 [00:02<00:02, 181.66frame/s]

   🔄 1500:  52%|█████▏    | 403/782 [00:02<00:02, 182.18frame/s]

   🔄 1500:  54%|█████▍    | 422/782 [00:02<00:01, 182.34frame/s]

   🔄 1500:  56%|█████▋    | 441/782 [00:02<00:01, 182.82frame/s]

   🔄 1500:  59%|█████▉    | 460/782 [00:02<00:01, 183.49frame/s]

   🔄 1500:  61%|██████▏   | 479/782 [00:02<00:01, 183.57frame/s]

   🔄 1500:  64%|██████▎   | 498/782 [00:02<00:01, 182.54frame/s]

   🔄 1500:  66%|██████▌   | 517/782 [00:02<00:01, 181.54frame/s]

   🔄 1500:  69%|██████▊   | 536/782 [00:02<00:01, 181.00frame/s]

   🔄 1500:  71%|███████   | 555/782 [00:03<00:01, 180.54frame/s]

   🔄 1500:  73%|███████▎  | 574/782 [00:03<00:01, 179.95frame/s]

   🔄 1500:  76%|███████▌  | 592/782 [00:03<00:01, 179.61frame/s]

   🔄 1500:  78%|███████▊  | 610/782 [00:03<00:00, 179.68frame/s]

   🔄 1500:  80%|████████  | 629/782 [00:03<00:00, 179.94frame/s]

   🔄 1500:  83%|████████▎ | 648/782 [00:03<00:00, 180.15frame/s]

   🔄 1500:  85%|████████▌ | 667/782 [00:03<00:00, 180.20frame/s]

   🔄 1500:  88%|████████▊ | 686/782 [00:03<00:00, 179.66frame/s]

   🔄 1500:  90%|█████████ | 705/782 [00:03<00:00, 179.85frame/s]

   🔄 1500:  92%|█████████▏| 723/782 [00:04<00:00, 179.56frame/s]

   🔄 1500:  95%|█████████▍| 741/782 [00:04<00:00, 179.23frame/s]

   🔄 1500:  97%|█████████▋| 759/782 [00:04<00:00, 178.06frame/s]

   🔄 1500:  99%|█████████▉| 777/782 [00:04<00:00, 177.81frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:18<00:06,  6.56s/rig]

   🔄 1000:   0%|          | 0/585 [00:00<?, ?frame/s]

   🔄 1000:   3%|▎         | 20/585 [00:00<00:02, 193.14frame/s]

   🔄 1000:   7%|▋         | 40/585 [00:00<00:02, 188.48frame/s]

   🔄 1000:  10%|█         | 59/585 [00:00<00:02, 187.54frame/s]

   🔄 1000:  13%|█▎        | 78/585 [00:00<00:02, 187.22frame/s]

   🔄 1000:  17%|█▋        | 97/585 [00:00<00:02, 186.93frame/s]

   🔄 1000:  20%|█▉        | 116/585 [00:00<00:02, 186.88frame/s]

   🔄 1000:  23%|██▎       | 135/585 [00:00<00:02, 186.50frame/s]

   🔄 1000:  26%|██▋       | 154/585 [00:00<00:02, 186.20frame/s]

   🔄 1000:  30%|██▉       | 173/585 [00:00<00:02, 185.94frame/s]

   🔄 1000:  33%|███▎      | 192/585 [00:01<00:02, 185.08frame/s]

   🔄 1000:  36%|███▌      | 211/585 [00:01<00:02, 184.05frame/s]

   🔄 1000:  39%|███▉      | 230/585 [00:01<00:01, 183.52frame/s]

   🔄 1000:  43%|████▎     | 249/585 [00:01<00:01, 184.24frame/s]

   🔄 1000:  46%|████▌     | 268/585 [00:01<00:01, 185.15frame/s]

   🔄 1000:  49%|████▉     | 287/585 [00:01<00:01, 185.83frame/s]

   🔄 1000:  52%|█████▏    | 306/585 [00:01<00:01, 183.76frame/s]

   🔄 1000:  56%|█████▌    | 325/585 [00:01<00:01, 185.42frame/s]

   🔄 1000:  59%|█████▉    | 344/585 [00:01<00:01, 186.49frame/s]

   🔄 1000:  62%|██████▏   | 363/585 [00:01<00:01, 186.66frame/s]

   🔄 1000:  65%|██████▌   | 382/585 [00:02<00:01, 185.47frame/s]

   🔄 1000:  69%|██████▊   | 401/585 [00:02<00:00, 184.68frame/s]

   🔄 1000:  72%|███████▏  | 420/585 [00:02<00:00, 184.58frame/s]

   🔄 1000:  75%|███████▌  | 439/585 [00:02<00:00, 184.78frame/s]

   🔄 1000:  78%|███████▊  | 458/585 [00:02<00:00, 185.21frame/s]

   🔄 1000:  82%|████████▏ | 477/585 [00:02<00:00, 186.03frame/s]

   🔄 1000:  85%|████████▍ | 496/585 [00:02<00:00, 186.59frame/s]

   🔄 1000:  88%|████████▊ | 515/585 [00:02<00:00, 186.98frame/s]

   🔄 1000:  91%|█████████▏| 534/585 [00:02<00:00, 187.00frame/s]

   🔄 1000:  95%|█████████▍| 553/585 [00:02<00:00, 186.40frame/s]

   🔄 1000:  98%|█████████▊| 572/585 [00:03<00:00, 185.58frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:24<00:00,  6.23s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:24<00:00,  6.16s/rig]
[✅] Saved PTDs: /working/MDC048_W021(6)_2026-10-13/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, 173.64frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.49frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 175.03frame/s]

   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 175.72frame/s]

   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 176.51frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.08rig/s]

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 173.90frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 175.41frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 174.21frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 174.92frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 175.50frame/s]

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

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 176.93frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 177.03frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 178.37frame/s]

   🔄 1500:  73%|███████▎  | 73/100 [00:00<00:00, 178.96frame/s]

   🔄 1500:  91%|█████████ | 91/100 [00:00<00:00, 178.84frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:01,  1.01s/rig]

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

   🔄 1000:  18%|█▊        | 18/100 [00:00<00:00, 179.87frame/s]

   🔄 1000:  36%|███▌      | 36/100 [00:00<00:00, 179.90frame/s]

   🔄 1000:  55%|█████▌    | 55/100 [00:00<00:00, 180.12frame/s]

   🔄 1000:  74%|███████▍  | 74/100 [00:00<00:00, 180.23frame/s]

   🔄 1000:  93%|█████████▎| 93/100 [00:00<00:00, 181.36frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
[✅] Saved PTDs: /working/MDC048_W021(6)_2026-10-13/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%|▎         | 94176/3080448 [00:00<00:03, 941707.01px/s]
📤 Writing LUT:   6%|▋         | 193482/3080448 [00:00<00:02, 971907.68px/s]
📤 Writing LUT:   9%|▉         | 290673/3080448 [00:00<00:02, 968737.93px/s]
📤 Writing LUT:  13%|█▎        | 387549/3080448 [00:00<00:02, 952193.89px/s]
📤 Writing LUT:  16%|█▌        | 482809/3080448 [00:00<00:02, 925593.44px/s]
📤 Writing LUT:  19%|█▊        | 575491/3080448 [00:00<00:02, 899490.44px/s]
📤 Writing LUT:  22%|██▏       | 665596/3080448 [00:00<00:02, 884204.71px/s]
📤 Writing LUT:  24%|██▍       | 754121/3080448 [00:00<00:02, 870933.92px/s]
📤 Writing LUT:  27%|██▋       | 841280/3080448 [00:00<00:02, 866485.57px/s]
📤 Writing LUT:  30%|███       | 927963/3080448 [00:01<00:02, 864078.13px/s]
📤 Writing LUT:  33%|███▎      | 1014389/3080448 [00:01<00:02, 860072.23px/s]
📤 Writing LUT:  36%|███▌      | 1100404/3080448 [00:01<00:02, 857914.65px/s]
📤 Writing LUT:  39%|███▊      | 1186587/3080448 [00:01<00:02, 859081.89px/s]
📤 Writing LUT:  41%|████▏     | 1272499/3080448 [00:01<00:02, 857445.17px/s]
📤 Writing LUT:  44%|████▍     | 1358245/3080448 [00:01<00:02, 855238.24px/s]
📤 Writing LUT:  47%|████▋     | 1444099/3080448 [00:01<00:01, 856221.39px/s]
📤 Writing LUT:  50%|████▉     | 1529994/3080448 [00:01<00:01, 857036.34px/s]
📤 Writing LUT:  52%|█████▏    | 1615774/3080448 [00:01<00:01, 857263.94px/s]
📤 Writing LUT:  55%|█████▌    | 1701563/3080448 [00:01<00:01, 857448.03px/s]
📤 Writing LUT:  58%|█████▊    | 1787309/3080448 [00:02<00:01, 857184.23px/s]
📤 Writing LUT:  61%|██████    | 1873089/3080448 [00:02<00:01, 857365.96px/s]
📤 Writing LUT:  64%|██████▎   | 1958826/3080448 [00:02<00:01, 856292.07px/s]
📤 Writing LUT:  66%|██████▋   | 2044773/3080448 [00:02<00:01, 857241.94px/s]
📤 Writing LUT:  69%|██████▉   | 2130902/3080448 [00:02<00:01, 858452.37px/s]
📤 Writing LUT:  72%|███████▏  | 2216748/3080448 [00:02<00:01, 857661.64px/s]
📤 Writing LUT:  75%|███████▍  | 2302515/3080448 [00:02<00:00, 856116.89px/s]
📤 Writing LUT:  78%|███████▊  | 2388128/3080448 [00:02<00:00, 855533.60px/s]
📤 Writing LUT:  80%|████████  | 2474292/3080448 [00:02<00:00, 857359.20px/s]
📤 Writing LUT:  83%|████████▎ | 2560292/3080448 [00:02<00:00, 858135.29px/s]
📤 Writing LUT:  86%|████████▌ | 2647603/3080448 [00:03<00:00, 862621.82px/s]
📤 Writing LUT:  89%|████████▊ | 2733867/3080448 [00:03<00:00, 858880.22px/s]
📤 Writing LUT:  92%|█████████▏| 2822955/3080448 [00:03<00:00, 868443.60px/s]
📤 Writing LUT:  95%|█████████▍| 2912095/3080448 [00:03<00:00, 875311.93px/s]
📤 Writing LUT:  97%|█████████▋| 3001498/3080448 [00:03<00:00, 880916.02px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 872269.23px/s]
[✅] LUT written to: /working/MDC048_W021(6)_2026-10-13/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC048_W021(6)_2026-10-13' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC048_W021(6)_2026-10-13/calibration/MDC048_W021(6)_2026-10-13_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%|          | 0/541 [00:00<?, ?frame/s]

   🔥 2000R:   2%|▏         | 9/541 [00:00<00:06, 83.39frame/s]

   🔥 2000R:   3%|▎         | 18/541 [00:00<00:06, 80.81frame/s]

   🔥 2000R:   5%|▍         | 27/541 [00:00<00:06, 80.27frame/s]

   🔥 2000R:   7%|▋         | 36/541 [00:00<00:06, 79.11frame/s]

   🔥 2000R:   8%|▊         | 44/541 [00:00<00:06, 78.64frame/s]

   🔥 2000R:  10%|▉         | 52/541 [00:00<00:06, 78.24frame/s]

   🔥 2000R:  11%|█         | 60/541 [00:00<00:06, 77.49frame/s]

   🔥 2000R:  13%|█▎        | 68/541 [00:00<00:06, 77.42frame/s]

   🔥 2000R:  14%|█▍        | 76/541 [00:00<00:06, 76.93frame/s]

   🔥 2000R:  16%|█▌        | 84/541 [00:01<00:05, 77.00frame/s]

   🔥 2000R:  17%|█▋        | 92/541 [00:01<00:05, 77.30frame/s]

   🔥 2000R:  19%|█▊        | 101/541 [00:01<00:05, 78.43frame/s]

   🔥 2000R:  20%|██        | 110/541 [00:01<00:05, 79.34frame/s]

   🔥 2000R:  22%|██▏       | 119/541 [00:01<00:05, 79.97frame/s]

   🔥 2000R:  24%|██▎       | 128/541 [00:01<00:05, 80.67frame/s]

   🔥 2000R:  25%|██▌       | 137/541 [00:01<00:05, 80.55frame/s]

   🔥 2000R:  27%|██▋       | 146/541 [00:01<00:04, 82.03frame/s]

   🔥 2000R:  29%|██▊       | 155/541 [00:01<00:04, 83.05frame/s]

   🔥 2000R:  30%|███       | 164/541 [00:02<00:04, 84.01frame/s]

   🔥 2000R:  32%|███▏      | 174/541 [00:02<00:04, 88.35frame/s]

   🔥 2000R:  34%|███▍      | 184/541 [00:02<00:03, 91.31frame/s]

   🔥 2000R:  36%|███▌      | 194/541 [00:02<00:03, 93.61frame/s]

   🔥 2000R:  38%|███▊      | 204/541 [00:02<00:03, 95.02frame/s]

   🔥 2000R:  40%|███▉      | 214/541 [00:02<00:03, 96.05frame/s]

   🔥 2000R:  41%|████▏     | 224/541 [00:02<00:03, 96.08frame/s]

   🔥 2000R:  43%|████▎     | 234/541 [00:02<00:03, 95.28frame/s]

   🔥 2000R:  45%|████▌     | 244/541 [00:02<00:03, 94.32frame/s]

   🔥 2000R:  47%|████▋     | 254/541 [00:02<00:03, 93.97frame/s]

   🔥 2000R:  49%|████▉     | 264/541 [00:03<00:02, 93.56frame/s]

   🔥 2000R:  51%|█████     | 274/541 [00:03<00:02, 93.23frame/s]

   🔥 2000R:  52%|█████▏    | 284/541 [00:03<00:02, 93.53frame/s]

   🔥 2000R:  54%|█████▍    | 294/541 [00:03<00:02, 94.01frame/s]

   🔥 2000R:  56%|█████▌    | 304/541 [00:03<00:02, 94.85frame/s]

   🔥 2000R:  58%|█████▊    | 314/541 [00:03<00:02, 96.09frame/s]

   🔥 2000R:  60%|██████    | 325/541 [00:03<00:02, 98.00frame/s]

   🔥 2000R:  62%|██████▏   | 336/541 [00:03<00:02, 100.54frame/s]

   🔥 2000R:  64%|██████▍   | 348/541 [00:03<00:01, 104.34frame/s]

   🔥 2000R:  67%|██████▋   | 360/541 [00:04<00:01, 107.37frame/s]

   🔥 2000R:  69%|██████▉   | 372/541 [00:04<00:01, 109.12frame/s]

   🔥 2000R:  71%|███████   | 383/541 [00:04<00:01, 108.46frame/s]

   🔥 2000R:  73%|███████▎  | 394/541 [00:04<00:01, 104.72frame/s]

   🔥 2000R:  75%|███████▍  | 405/541 [00:04<00:01, 100.33frame/s]

   🔥 2000R:  77%|███████▋  | 416/541 [00:04<00:01, 97.23frame/s] 

   🔥 2000R:  79%|███████▊  | 426/541 [00:04<00:01, 94.93frame/s]

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                                                                 [✅] 2000R: /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:07<00:23,  7.78s/rig]

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                                                                 [✅] 2000L: /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:15<00:15,  7.76s/rig]

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                                                                [✅] 1500: /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:26<00:09,  9.08s/rig]

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   🔥 1000:  80%|████████  | 468/585 [00:05<00:01, 90.62frame/s]

   🔥 1000:  82%|████████▏ | 478/585 [00:05<00:01, 91.97frame/s]

   🔥 1000:  83%|████████▎ | 488/585 [00:05<00:01, 93.21frame/s]

   🔥 1000:  85%|████████▌ | 498/585 [00:05<00:00, 94.30frame/s]

   🔥 1000:  87%|████████▋ | 508/585 [00:05<00:00, 95.04frame/s]

   🔥 1000:  89%|████████▊ | 518/585 [00:05<00:00, 95.63frame/s]

   🔥 1000:  90%|█████████ | 528/585 [00:05<00:00, 95.67frame/s]

   🔥 1000:  92%|█████████▏| 538/585 [00:05<00:00, 94.64frame/s]

   🔥 1000:  94%|█████████▎| 548/585 [00:05<00:00, 94.60frame/s]

   🔥 1000:  95%|█████████▌| 558/585 [00:06<00:00, 93.73frame/s]

   🔥 1000:  97%|█████████▋| 568/585 [00:06<00:00, 92.49frame/s]

   🔥 1000:  99%|█████████▉| 578/585 [00:06<00:00, 91.40frame/s]

                                                                [✅] 1000: /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:33<00:00,  8.29s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:33<00:00,  8.31s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC048_W021(6)_2026-10-13/calibration/debug/5_heatmap
[🏁] Finished processing MDC048_W021(6)_2026-10-13


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