2026-08-28T15:21:48 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC053_W024_2026-08-26 ===
2026-08-28T15:21:48 - INFO: Camera ID: 6396150
2026-08-28T15:21:48 - INFO: Wand ID: 
2026-08-28T15:21:48 - INFO: Recorded At: 2026-08-25T23:05:54Z

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

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

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 483 stationary frames, 561 remain


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→ 2000L Phase 2: corners: 100%|██████████| 561/561 [00:04<00:00, 188.38it/s]

                                                                            [PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000400: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000401: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000938: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000939: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000942: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000943: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000955: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000956: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000957: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000958: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000400: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000942: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000957: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000398: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000399: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000934: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000935: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000936: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000939: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000940: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000941: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001156: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001157: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001158: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001162: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001163: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001164: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 15 frames fixed, 27 untrusted, 561 total


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→ 2000L Phase 3: finalize:  61%|██████▏   | 344/561 [00:07<00:04, 45.45it/s]

→ 2000L Phase 3: finalize:  62%|██████▏   | 349/561 [00:07<00:04, 45.47it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 354/561 [00:07<00:04, 45.73it/s]

→ 2000L Phase 3: finalize:  64%|██████▍   | 359/561 [00:07<00:04, 45.93it/s]

→ 2000L Phase 3: finalize:  65%|██████▍   | 364/561 [00:08<00:04, 45.95it/s]

→ 2000L Phase 3: finalize:  66%|██████▌   | 369/561 [00:08<00:04, 46.09it/s]

→ 2000L Phase 3: finalize:  67%|██████▋   | 374/561 [00:08<00:04, 46.11it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 379/561 [00:08<00:03, 45.97it/s]

→ 2000L Phase 3: finalize:  68%|██████▊   | 384/561 [00:08<00:03, 45.56it/s]

→ 2000L Phase 3: finalize:  69%|██████▉   | 389/561 [00:08<00:03, 45.32it/s]

→ 2000L Phase 3: finalize:  70%|███████   | 394/561 [00:08<00:03, 45.17it/s]

→ 2000L Phase 3: finalize:  71%|███████   | 399/561 [00:08<00:03, 44.85it/s]

→ 2000L Phase 3: finalize:  72%|███████▏  | 404/561 [00:08<00:03, 44.51it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 409/561 [00:09<00:03, 44.27it/s]

→ 2000L Phase 3: finalize:  74%|███████▍  | 414/561 [00:09<00:03, 44.00it/s]

→ 2000L Phase 3: finalize:  75%|███████▍  | 419/561 [00:09<00:03, 43.87it/s]

→ 2000L Phase 3: finalize:  76%|███████▌  | 424/561 [00:09<00:03, 43.70it/s]

→ 2000L Phase 3: finalize:  76%|███████▋  | 429/561 [00:09<00:03, 43.62it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 434/561 [00:09<00:02, 43.53it/s]

→ 2000L Phase 3: finalize:  78%|███████▊  | 439/561 [00:09<00:02, 43.54it/s]

→ 2000L Phase 3: finalize:  79%|███████▉  | 444/561 [00:09<00:02, 43.51it/s]

→ 2000L Phase 3: finalize:  80%|████████  | 449/561 [00:10<00:02, 43.51it/s]

→ 2000L Phase 3: finalize:  81%|████████  | 454/561 [00:10<00:02, 43.69it/s]

→ 2000L Phase 3: finalize:  82%|████████▏ | 459/561 [00:10<00:02, 43.84it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 464/561 [00:10<00:02, 43.90it/s]

→ 2000L Phase 3: finalize:  84%|████████▎ | 469/561 [00:10<00:02, 44.07it/s]

→ 2000L Phase 3: finalize:  84%|████████▍ | 474/561 [00:10<00:01, 44.25it/s]

→ 2000L Phase 3: finalize:  85%|████████▌ | 479/561 [00:10<00:01, 44.34it/s]

→ 2000L Phase 3: finalize:  86%|████████▋ | 484/561 [00:10<00:01, 44.42it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 489/561 [00:10<00:01, 44.51it/s]

→ 2000L Phase 3: finalize:  88%|████████▊ | 494/561 [00:11<00:01, 44.21it/s]

→ 2000L Phase 3: finalize:  89%|████████▉ | 499/561 [00:11<00:01, 44.25it/s]

→ 2000L Phase 3: finalize:  90%|████████▉ | 504/561 [00:11<00:01, 44.26it/s]

→ 2000L Phase 3: finalize:  91%|█████████ | 509/561 [00:11<00:01, 44.34it/s]

→ 2000L Phase 3: finalize:  92%|█████████▏| 514/561 [00:11<00:01, 44.39it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 519/561 [00:11<00:00, 44.42it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 524/561 [00:11<00:00, 44.34it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 529/561 [00:11<00:00, 44.19it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 534/561 [00:11<00:00, 44.11it/s]

→ 2000L Phase 3: finalize:  96%|█████████▌| 539/561 [00:12<00:00, 44.12it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 544/561 [00:12<00:00, 43.84it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 549/561 [00:12<00:00, 43.71it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 554/561 [00:12<00:00, 43.74it/s]

→ 2000L Phase 3: finalize: 100%|█████████▉| 559/561 [00:12<00:00, 43.79it/s]

                                                                            
[TIMING] 2000L — 561 frames
  Phase 1  radial detect   (parallel)  :   8.53s  (15.2 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.21s  (7.5 ms/frame)
  Phase 2b corner fix      (sequential):   1.27s
  Phase 3  finalize        (sequential):  12.57s  (22.4 ms/frame)
    decode + undistort                 :   7.20s  (12.8 ms/frame)
    corner apply + refinement          :   2.37s  (4.2 ms/frame)
    segment                            :   2.32s  (4.1 ms/frame)
    smooth                             :   0.49s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  26.58s


Processing Rigs:  25%|██▌       | 1/4 [00:32<01:38, 32.68s/it][INFO] Filtered 378 stationary frames, 408 remain


→ 1500 (408 images) Phase 1:   0%|          | 0/408 [00:00<?, ?it/s]

→ 1500 (408 images) Phase 1:   0%|          | 1/408 [00:00<04:24,  1.54it/s]

→ 1500 (408 images) Phase 1:   1%|          | 4/408 [00:00<01:08,  5.92it/s]

→ 1500 (408 images) Phase 1:   6%|▌         | 25/408 [00:00<00:09, 40.71it/s]

→ 1500 (408 images) Phase 1:   8%|▊         | 34/408 [00:01<00:07, 48.40it/s]

→ 1500 (408 images) Phase 1:  10%|█         | 42/408 [00:01<00:08, 44.60it/s]

→ 1500 (408 images) Phase 1:  14%|█▍        | 57/408 [00:01<00:05, 64.74it/s]

→ 1500 (408 images) Phase 1:  16%|█▌        | 66/408 [00:01<00:05, 64.75it/s]

→ 1500 (408 images) Phase 1:  18%|█▊        | 75/408 [00:01<00:05, 56.20it/s]

→ 1500 (408 images) Phase 1:  22%|██▏       | 90/408 [00:01<00:04, 73.28it/s]

→ 1500 (408 images) Phase 1:  24%|██▍       | 99/408 [00:02<00:04, 63.41it/s]

→ 1500 (408 images) Phase 1:  26%|██▌       | 107/408 [00:02<00:04, 60.84it/s]

→ 1500 (408 images) Phase 1:  30%|██▉       | 122/408 [00:02<00:03, 78.76it/s]

→ 1500 (408 images) Phase 1:  32%|███▏      | 132/408 [00:02<00:04, 58.69it/s]

→ 1500 (408 images) Phase 1:  36%|███▋      | 148/408 [00:02<00:03, 77.41it/s]

→ 1500 (408 images) Phase 1:  39%|███▊      | 158/408 [00:02<00:03, 80.17it/s]

→ 1500 (408 images) Phase 1:  41%|████      | 168/408 [00:03<00:04, 59.08it/s]

→ 1500 (408 images) Phase 1:  45%|████▌     | 185/408 [00:03<00:02, 76.63it/s]

→ 1500 (408 images) Phase 1:  48%|████▊     | 195/408 [00:03<00:03, 66.06it/s]

→ 1500 (408 images) Phase 1:  50%|█████     | 204/408 [00:03<00:03, 65.03it/s]

→ 1500 (408 images) Phase 1:  54%|█████▎    | 219/408 [00:03<00:02, 82.00it/s]

→ 1500 (408 images) Phase 1:  56%|█████▌    | 229/408 [00:03<00:03, 58.43it/s]

→ 1500 (408 images) Phase 1:  61%|██████    | 248/408 [00:04<00:02, 78.89it/s]

→ 1500 (408 images) Phase 1:  63%|██████▎   | 259/408 [00:04<00:02, 66.01it/s]

→ 1500 (408 images) Phase 1:  66%|██████▌   | 268/408 [00:04<00:02, 67.86it/s]

→ 1500 (408 images) Phase 1:  69%|██████▉   | 281/408 [00:04<00:01, 79.39it/s]

→ 1500 (408 images) Phase 1:  71%|███████▏  | 291/408 [00:04<00:01, 65.21it/s]

→ 1500 (408 images) Phase 1:  73%|███████▎  | 299/408 [00:04<00:01, 65.20it/s]

→ 1500 (408 images) Phase 1:  77%|███████▋  | 314/408 [00:05<00:01, 81.86it/s]

→ 1500 (408 images) Phase 1:  79%|███████▉  | 324/408 [00:05<00:01, 59.75it/s]

→ 1500 (408 images) Phase 1:  81%|████████▏ | 332/408 [00:05<00:01, 59.87it/s]

→ 1500 (408 images) Phase 1:  85%|████████▌ | 347/408 [00:05<00:00, 76.04it/s]

→ 1500 (408 images) Phase 1:  88%|████████▊ | 357/408 [00:05<00:00, 56.98it/s]

→ 1500 (408 images) Phase 1:  91%|█████████ | 372/408 [00:05<00:00, 73.57it/s]

→ 1500 (408 images) Phase 1:  94%|█████████▍| 384/408 [00:06<00:00, 79.65it/s]

→ 1500 (408 images) Phase 1:  97%|█████████▋| 394/408 [00:06<00:00, 67.91it/s]

                                                                              

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

→ 1500 Phase 2: corners:   0%|          | 1/408 [00:00<02:43,  2.48it/s]

→ 1500 Phase 2: corners:   2%|▏         | 10/408 [00:00<00:15, 25.06it/s]

→ 1500 Phase 2: corners:   5%|▌         | 22/408 [00:00<00:07, 50.41it/s]

→ 1500 Phase 2: corners:   8%|▊         | 33/408 [00:00<00:05, 64.25it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 50/408 [00:00<00:03, 92.37it/s]

→ 1500 Phase 2: corners:  16%|█▌        | 65/408 [00:00<00:03, 102.88it/s]

→ 1500 Phase 2: corners:  19%|█▉        | 78/408 [00:01<00:03, 109.34it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 92/408 [00:01<00:02, 116.00it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 112/408 [00:01<00:02, 136.62it/s]

→ 1500 Phase 2: corners:  31%|███       | 127/408 [00:01<00:02, 130.78it/s]

→ 1500 Phase 2: corners:  35%|███▌      | 143/408 [00:01<00:01, 137.00it/s]

→ 1500 Phase 2: corners:  39%|███▊      | 158/408 [00:01<00:01, 139.38it/s]

→ 1500 Phase 2: corners:  42%|████▏     | 173/408 [00:01<00:01, 142.37it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 190/408 [00:01<00:01, 145.89it/s]

→ 1500 Phase 2: corners:  50%|█████     | 205/408 [00:01<00:01, 127.89it/s]

→ 1500 Phase 2: corners:  54%|█████▍    | 220/408 [00:02<00:01, 131.21it/s]

→ 1500 Phase 2: corners:  58%|█████▊    | 237/408 [00:02<00:01, 139.57it/s]

→ 1500 Phase 2: corners:  62%|██████▏   | 253/408 [00:02<00:01, 143.78it/s]

→ 1500 Phase 2: corners:  66%|██████▌   | 270/408 [00:02<00:00, 143.61it/s]

→ 1500 Phase 2: corners:  70%|██████▉   | 285/408 [00:02<00:00, 137.60it/s]

→ 1500 Phase 2: corners:  75%|███████▍  | 304/408 [00:02<00:00, 149.60it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 320/408 [00:02<00:00, 148.54it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 337/408 [00:02<00:00, 152.72it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 354/408 [00:02<00:00, 157.37it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 370/408 [00:03<00:00, 157.68it/s]

→ 1500 Phase 2: corners:  95%|█████████▌| 388/408 [00:03<00:00, 159.78it/s]

                                                                           [PASS2] Frame 0000246: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000247: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000248: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000249: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000276: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000277: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000313: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000314: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000315: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000316: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000317: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000318: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000319: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000320: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000324: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000335: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000549: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000619: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000620: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000621: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000622: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000623: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000624: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000625: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000626: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000627: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000628: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000629: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000631: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000632: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000633: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000634: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000637: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000639: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000640: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000641: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000642: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000643: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000644: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000645: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000646: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000676: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000677: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000678: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000679: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000684: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000685: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000686: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000687: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000688: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000689: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000690: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000717: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000719: fixed corners {0, 1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000720: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000722: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000723: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000724: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000725: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000730: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000731: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000732: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000733: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000734: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000735: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000736: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000737: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000738: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000740: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000741: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000742: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000743: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000744: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000745: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000746: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000747: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000748: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000749: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000750: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000751: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000752: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000753: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000754: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000755: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000763: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000764: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000831: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000832: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000833: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000834: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000248: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000313: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000314: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000316: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000319: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000625: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000631: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000632: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000639: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000640: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000646: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000677: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000678: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000686: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000687: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000689: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000717: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000719: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000724: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000732: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000733: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000735: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000737: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000742: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000743: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000746: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000748: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000749: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000753: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000763: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000833: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000330: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000548: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000622: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000628: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000629: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000630: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000635: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000636: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000643: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000644: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000719: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000755: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000756: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000757: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 67 frames fixed, 71 untrusted, 408 total


→ 1500 Phase 3: finalize:   0%|          | 0/408 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 5/408 [00:00<00:08, 46.88it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 10/408 [00:00<00:08, 48.31it/s]

→ 1500 Phase 3: finalize:   4%|▎         | 15/408 [00:00<00:08, 48.80it/s]

→ 1500 Phase 3: finalize:   5%|▍         | 20/408 [00:00<00:07, 49.21it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 25/408 [00:00<00:07, 49.32it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 30/408 [00:00<00:07, 49.30it/s]

→ 1500 Phase 3: finalize:   9%|▊         | 35/408 [00:00<00:07, 49.44it/s]

→ 1500 Phase 3: finalize:  10%|█         | 41/408 [00:00<00:07, 49.62it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 47/408 [00:00<00:07, 49.85it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 53/408 [00:01<00:07, 50.07it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 59/408 [00:01<00:06, 50.19it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 65/408 [00:01<00:08, 41.26it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 71/408 [00:01<00:07, 43.66it/s]

→ 1500 Phase 3: finalize:  19%|█▊        | 76/408 [00:01<00:07, 44.95it/s]

→ 1500 Phase 3: finalize:  20%|█▉        | 81/408 [00:01<00:07, 45.04it/s]

→ 1500 Phase 3: finalize:  21%|██▏       | 87/408 [00:01<00:06, 47.22it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 92/408 [00:01<00:06, 46.34it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 97/408 [00:02<00:06, 45.99it/s]

→ 1500 Phase 3: finalize:  25%|██▌       | 102/408 [00:02<00:06, 45.70it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 107/408 [00:02<00:06, 45.95it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 113/408 [00:02<00:06, 48.30it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 119/408 [00:02<00:05, 50.20it/s]

→ 1500 Phase 3: finalize:  31%|███       | 125/408 [00:02<00:05, 49.00it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 130/408 [00:02<00:05, 48.00it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 135/408 [00:02<00:05, 47.28it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 140/408 [00:02<00:05, 46.88it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 145/408 [00:03<00:05, 46.47it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 150/408 [00:03<00:05, 46.00it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 155/408 [00:03<00:05, 45.91it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 160/408 [00:03<00:05, 45.90it/s]

→ 1500 Phase 3: finalize:  40%|████      | 165/408 [00:03<00:05, 45.74it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 170/408 [00:03<00:05, 45.61it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 175/408 [00:03<00:05, 45.73it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 180/408 [00:03<00:04, 45.92it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 185/408 [00:03<00:04, 46.16it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 190/408 [00:04<00:04, 46.26it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 195/408 [00:04<00:04, 46.20it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 200/408 [00:04<00:04, 46.13it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 205/408 [00:04<00:04, 46.10it/s]

→ 1500 Phase 3: finalize:  51%|█████▏    | 210/408 [00:04<00:04, 46.14it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 215/408 [00:04<00:04, 46.15it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 220/408 [00:04<00:04, 46.08it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 225/408 [00:04<00:03, 46.05it/s]

→ 1500 Phase 3: finalize:  56%|█████▋    | 230/408 [00:04<00:03, 46.21it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 235/408 [00:05<00:03, 46.15it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 240/408 [00:05<00:03, 46.06it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 245/408 [00:05<00:03, 46.18it/s]

→ 1500 Phase 3: finalize:  61%|██████▏   | 250/408 [00:05<00:03, 45.89it/s]

→ 1500 Phase 3: finalize:  62%|██████▎   | 255/408 [00:05<00:03, 45.87it/s]

→ 1500 Phase 3: finalize:  64%|██████▎   | 260/408 [00:05<00:03, 45.51it/s]

→ 1500 Phase 3: finalize:  65%|██████▍   | 265/408 [00:05<00:03, 44.63it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 270/408 [00:05<00:03, 45.08it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 275/408 [00:05<00:02, 45.54it/s]

→ 1500 Phase 3: finalize:  69%|██████▊   | 280/408 [00:06<00:02, 45.58it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 285/408 [00:06<00:02, 45.46it/s]

→ 1500 Phase 3: finalize:  71%|███████   | 290/408 [00:06<00:02, 45.17it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 295/408 [00:06<00:02, 45.07it/s]

→ 1500 Phase 3: finalize:  74%|███████▎  | 300/408 [00:06<00:02, 44.91it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 305/408 [00:06<00:02, 44.91it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 310/408 [00:06<00:02, 44.94it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 315/408 [00:06<00:02, 45.19it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 320/408 [00:06<00:01, 45.21it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 325/408 [00:07<00:01, 45.13it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 330/408 [00:07<00:01, 45.10it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 335/408 [00:07<00:01, 45.26it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 340/408 [00:07<00:01, 45.38it/s]

→ 1500 Phase 3: finalize:  85%|████████▍ | 345/408 [00:07<00:01, 45.50it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 350/408 [00:07<00:01, 45.61it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 355/408 [00:07<00:01, 45.73it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 360/408 [00:07<00:01, 45.78it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 365/408 [00:07<00:00, 45.82it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 370/408 [00:08<00:00, 45.89it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 375/408 [00:08<00:00, 45.89it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 380/408 [00:08<00:00, 45.66it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 385/408 [00:08<00:00, 45.46it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 390/408 [00:08<00:00, 45.45it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 395/408 [00:08<00:00, 45.46it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 400/408 [00:08<00:00, 45.31it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 405/408 [00:08<00:00, 45.28it/s]

                                                                           
[TIMING] 1500 — 408 frames
  Phase 1  radial detect   (parallel)  :   6.52s  (16.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.33s  (8.2 ms/frame)
  Phase 2b corner fix      (sequential):   2.40s
  Phase 3  finalize        (sequential):   8.84s  (21.7 ms/frame)
    decode + undistort                 :   5.06s  (12.4 ms/frame)
    corner apply + refinement          :   1.63s  (4.0 ms/frame)
    segment                            :   1.63s  (4.0 ms/frame)
    smooth                             :   0.39s  (1.0 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  21.09s


Processing Rigs:  50%|█████     | 2/4 [00:58<00:57, 28.57s/it][INFO] Filtered 399 stationary frames, 241 remain


→ 1000 (241 images) Phase 1:   0%|          | 0/241 [00:00<?, ?it/s]

→ 1000 (241 images) Phase 1:   0%|          | 1/241 [00:00<03:20,  1.20it/s]

→ 1000 (241 images) Phase 1:  12%|█▏        | 30/241 [00:00<00:04, 42.76it/s]

→ 1000 (241 images) Phase 1:  19%|█▉        | 46/241 [00:01<00:04, 41.79it/s]

→ 1000 (241 images) Phase 1:  27%|██▋       | 65/241 [00:01<00:03, 44.24it/s]

→ 1000 (241 images) Phase 1:  37%|███▋      | 88/241 [00:01<00:02, 67.02it/s]

→ 1000 (241 images) Phase 1:  42%|████▏     | 102/241 [00:02<00:02, 53.38it/s]

→ 1000 (241 images) Phase 1:  54%|█████▎    | 129/241 [00:02<00:01, 58.52it/s]

→ 1000 (241 images) Phase 1:  62%|██████▏   | 150/241 [00:02<00:01, 75.99it/s]

→ 1000 (241 images) Phase 1:  68%|██████▊   | 163/241 [00:03<00:01, 59.90it/s]

→ 1000 (241 images) Phase 1:  79%|███████▉  | 190/241 [00:03<00:00, 86.19it/s]

→ 1000 (241 images) Phase 1:  85%|████████▌ | 205/241 [00:03<00:00, 66.11it/s]

→ 1000 (241 images) Phase 1:  93%|█████████▎| 225/241 [00:03<00:00, 70.41it/s]

→ 1000 (241 images) Phase 1:  99%|█████████▉| 238/241 [00:03<00:00, 77.42it/s]

                                                                              

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

→ 1000 Phase 2: corners:   0%|          | 1/241 [00:00<01:49,  2.18it/s]

→ 1000 Phase 2: corners:   7%|▋         | 17/241 [00:00<00:05, 39.60it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 30/241 [00:00<00:03, 61.49it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 43/241 [00:00<00:02, 78.93it/s]

→ 1000 Phase 2: corners:  24%|██▍       | 58/241 [00:00<00:01, 97.19it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 71/241 [00:00<00:01, 101.23it/s]

→ 1000 Phase 2: corners:  36%|███▌      | 86/241 [00:01<00:01, 109.33it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 101/241 [00:01<00:01, 116.79it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 114/241 [00:01<00:01, 118.27it/s]

→ 1000 Phase 2: corners:  54%|█████▍    | 131/241 [00:01<00:00, 129.00it/s]

→ 1000 Phase 2: corners:  60%|██████    | 145/241 [00:01<00:00, 127.60it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 159/241 [00:01<00:00, 123.27it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 173/241 [00:01<00:00, 126.92it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 189/241 [00:01<00:00, 133.02it/s]

→ 1000 Phase 2: corners:  84%|████████▍ | 203/241 [00:01<00:00, 128.68it/s]

→ 1000 Phase 2: corners:  90%|█████████ | 217/241 [00:02<00:00, 129.57it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 234/241 [00:02<00:00, 139.57it/s]

                                                                           [PASS2] Frame 0000381: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000422: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000426: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000432: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000591: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000596: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 6 frames fixed, 3 untrusted, 241 total


→ 1000 Phase 3: finalize:   0%|          | 0/241 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 5/241 [00:00<00:05, 45.36it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 10/241 [00:00<00:04, 47.94it/s]

→ 1000 Phase 3: finalize:   7%|▋         | 16/241 [00:00<00:04, 49.71it/s]

→ 1000 Phase 3: finalize:   9%|▉         | 22/241 [00:00<00:04, 51.63it/s]

→ 1000 Phase 3: finalize:  12%|█▏        | 28/241 [00:00<00:04, 51.93it/s]

→ 1000 Phase 3: finalize:  14%|█▍        | 34/241 [00:00<00:03, 52.03it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 40/241 [00:00<00:03, 51.85it/s]

→ 1000 Phase 3: finalize:  19%|█▉        | 46/241 [00:00<00:03, 51.58it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 52/241 [00:01<00:03, 51.51it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 58/241 [00:01<00:03, 51.41it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 64/241 [00:01<00:03, 51.49it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 70/241 [00:01<00:03, 51.41it/s]

→ 1000 Phase 3: finalize:  32%|███▏      | 76/241 [00:01<00:03, 50.99it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 82/241 [00:01<00:03, 49.86it/s]

→ 1000 Phase 3: finalize:  36%|███▌      | 87/241 [00:01<00:03, 48.42it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 92/241 [00:01<00:03, 47.63it/s]

→ 1000 Phase 3: finalize:  40%|████      | 97/241 [00:01<00:03, 46.99it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 102/241 [00:02<00:02, 46.44it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 107/241 [00:02<00:02, 46.13it/s]

→ 1000 Phase 3: finalize:  46%|████▋     | 112/241 [00:02<00:02, 46.00it/s]

→ 1000 Phase 3: finalize:  49%|████▊     | 117/241 [00:02<00:02, 46.01it/s]

→ 1000 Phase 3: finalize:  51%|█████     | 122/241 [00:02<00:02, 46.00it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 127/241 [00:02<00:02, 45.46it/s]

→ 1000 Phase 3: finalize:  55%|█████▍    | 132/241 [00:02<00:02, 45.10it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 137/241 [00:02<00:02, 44.86it/s]

→ 1000 Phase 3: finalize:  59%|█████▉    | 142/241 [00:02<00:02, 44.72it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 147/241 [00:03<00:02, 44.47it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 152/241 [00:03<00:01, 44.60it/s]

→ 1000 Phase 3: finalize:  65%|██████▌   | 157/241 [00:03<00:01, 44.87it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 162/241 [00:03<00:01, 44.73it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 167/241 [00:03<00:01, 45.28it/s]

→ 1000 Phase 3: finalize:  71%|███████▏  | 172/241 [00:03<00:01, 45.66it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 177/241 [00:03<00:01, 46.23it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 182/241 [00:03<00:01, 47.13it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 187/241 [00:03<00:01, 47.30it/s]

→ 1000 Phase 3: finalize:  80%|███████▉  | 192/241 [00:04<00:01, 47.09it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 197/241 [00:04<00:00, 47.22it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 202/241 [00:04<00:00, 47.34it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 207/241 [00:04<00:00, 47.42it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 212/241 [00:04<00:00, 47.55it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 217/241 [00:04<00:00, 47.59it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 222/241 [00:04<00:00, 47.50it/s]

→ 1000 Phase 3: finalize:  94%|█████████▍| 227/241 [00:04<00:00, 47.03it/s]

→ 1000 Phase 3: finalize:  96%|█████████▋| 232/241 [00:04<00:00, 46.86it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 237/241 [00:04<00:00, 46.69it/s]

                                                                           
[TIMING] 1000 — 241 frames
  Phase 1  radial detect   (parallel)  :   4.08s  (16.9 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.32s  (9.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.16s
  Phase 3  finalize        (sequential):   5.07s  (21.0 ms/frame)
    decode + undistort                 :   2.94s  (12.2 ms/frame)
    corner apply + refinement          :   0.87s  (3.6 ms/frame)
    segment                            :   0.95s  (4.0 ms/frame)
    smooth                             :   0.23s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  11.63s


Processing Rigs:  75%|███████▌  | 3/4 [01:13<00:22, 22.50s/it][INFO] Filtered 544 stationary frames, 592 remain


→ 2000R (592 images) Phase 1:   0%|          | 0/592 [00:00<?, ?it/s]

→ 2000R (592 images) Phase 1:   0%|          | 1/592 [00:00<08:46,  1.12it/s]

→ 2000R (592 images) Phase 1:   5%|▍         | 29/592 [00:00<00:14, 39.25it/s]

→ 2000R (592 images) Phase 1:   8%|▊         | 45/592 [00:01<00:13, 39.92it/s]

→ 2000R (592 images) Phase 1:  11%|█         | 65/592 [00:01<00:11, 45.33it/s]

→ 2000R (592 images) Phase 1:  14%|█▍        | 82/592 [00:01<00:08, 60.61it/s]

→ 2000R (592 images) Phase 1:  16%|█▋        | 97/592 [00:02<00:09, 54.12it/s]

→ 2000R (592 images) Phase 1:  19%|█▉        | 113/592 [00:02<00:07, 67.76it/s]

→ 2000R (592 images) Phase 1:  22%|██▏       | 129/592 [00:02<00:07, 59.10it/s]

→ 2000R (592 images) Phase 1:  24%|██▍       | 145/592 [00:02<00:06, 72.92it/s]

→ 2000R (592 images) Phase 1:  27%|██▋       | 161/592 [00:03<00:06, 62.03it/s]

→ 2000R (592 images) Phase 1:  30%|██▉       | 176/592 [00:03<00:05, 74.63it/s]

→ 2000R (592 images) Phase 1:  33%|███▎      | 193/592 [00:03<00:06, 63.92it/s]

→ 2000R (592 images) Phase 1:  35%|███▍      | 206/592 [00:03<00:05, 73.26it/s]

→ 2000R (592 images) Phase 1:  38%|███▊      | 225/592 [00:04<00:05, 65.79it/s]

→ 2000R (592 images) Phase 1:  40%|███▉      | 235/592 [00:04<00:05, 70.70it/s]

→ 2000R (592 images) Phase 1:  43%|████▎     | 257/592 [00:04<00:04, 67.23it/s]

→ 2000R (592 images) Phase 1:  45%|████▌     | 267/592 [00:04<00:04, 71.29it/s]

→ 2000R (592 images) Phase 1:  49%|████▉     | 289/592 [00:04<00:04, 68.44it/s]

→ 2000R (592 images) Phase 1:  51%|█████     | 299/592 [00:05<00:04, 71.37it/s]

→ 2000R (592 images) Phase 1:  54%|█████▍    | 321/592 [00:05<00:03, 68.94it/s]

→ 2000R (592 images) Phase 1:  56%|█████▌    | 331/592 [00:05<00:03, 71.52it/s]

→ 2000R (592 images) Phase 1:  60%|█████▉    | 353/592 [00:05<00:03, 71.72it/s]

→ 2000R (592 images) Phase 1:  61%|██████    | 361/592 [00:05<00:03, 70.56it/s]

→ 2000R (592 images) Phase 1:  65%|██████▍   | 383/592 [00:06<00:02, 96.47it/s]

→ 2000R (592 images) Phase 1:  67%|██████▋   | 395/592 [00:06<00:03, 65.09it/s]

→ 2000R (592 images) Phase 1:  70%|███████   | 417/592 [00:06<00:02, 68.26it/s]

→ 2000R (592 images) Phase 1:  72%|███████▏  | 426/592 [00:06<00:02, 69.04it/s]

→ 2000R (592 images) Phase 1:  75%|███████▌  | 445/592 [00:06<00:01, 88.55it/s]

→ 2000R (592 images) Phase 1:  77%|███████▋  | 457/592 [00:07<00:02, 65.18it/s]

→ 2000R (592 images) Phase 1:  80%|████████  | 476/592 [00:07<00:01, 83.88it/s]

→ 2000R (592 images) Phase 1:  82%|████████▏ | 488/592 [00:07<00:01, 65.63it/s]

→ 2000R (592 images) Phase 1:  84%|████████▍ | 498/592 [00:07<00:01, 70.93it/s]

→ 2000R (592 images) Phase 1:  87%|████████▋ | 513/592 [00:08<00:01, 64.52it/s]

→ 2000R (592 images) Phase 1:  88%|████████▊ | 522/592 [00:08<00:01, 67.20it/s]

→ 2000R (592 images) Phase 1:  91%|█████████ | 537/592 [00:08<00:00, 82.65it/s]

→ 2000R (592 images) Phase 1:  93%|█████████▎| 548/592 [00:08<00:00, 55.36it/s]

→ 2000R (592 images) Phase 1:  94%|█████████▍| 556/592 [00:08<00:00, 59.22it/s]

→ 2000R (592 images) Phase 1:  97%|█████████▋| 576/592 [00:08<00:00, 84.50it/s]

→ 2000R (592 images) Phase 1:  99%|█████████▉| 588/592 [00:09<00:00, 75.40it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/592 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/592 [00:00<04:23,  2.24it/s]

→ 2000R Phase 2: corners:   2%|▏         | 12/592 [00:00<00:20, 27.79it/s]

→ 2000R Phase 2: corners:   4%|▍         | 26/592 [00:00<00:10, 55.50it/s]

→ 2000R Phase 2: corners:   7%|▋         | 40/592 [00:00<00:07, 74.40it/s]

→ 2000R Phase 2: corners:   9%|▉         | 53/592 [00:00<00:06, 88.70it/s]

→ 2000R Phase 2: corners:  11%|█▏        | 67/592 [00:00<00:05, 102.41it/s]

→ 2000R Phase 2: corners:  14%|█▎        | 81/592 [00:01<00:04, 112.61it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 94/592 [00:01<00:04, 102.26it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 112/592 [00:01<00:03, 122.57it/s]

→ 2000R Phase 2: corners:  21%|██▏       | 127/592 [00:01<00:03, 128.82it/s]

→ 2000R Phase 2: corners:  24%|██▍       | 145/592 [00:01<00:03, 141.15it/s]

→ 2000R Phase 2: corners:  27%|██▋       | 161/592 [00:01<00:02, 146.14it/s]

→ 2000R Phase 2: corners:  30%|██▉       | 177/592 [00:01<00:02, 147.32it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 193/592 [00:01<00:02, 146.35it/s]

→ 2000R Phase 2: corners:  35%|███▌      | 208/592 [00:01<00:02, 140.58it/s]

→ 2000R Phase 2: corners:  38%|███▊      | 224/592 [00:02<00:02, 144.84it/s]

→ 2000R Phase 2: corners:  40%|████      | 239/592 [00:02<00:02, 144.76it/s]

→ 2000R Phase 2: corners:  43%|████▎     | 254/592 [00:02<00:02, 142.91it/s]

→ 2000R Phase 2: corners:  45%|████▌     | 269/592 [00:02<00:02, 142.51it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 287/592 [00:02<00:02, 150.79it/s]

→ 2000R Phase 2: corners:  51%|█████▏    | 304/592 [00:02<00:01, 152.87it/s]

→ 2000R Phase 2: corners:  54%|█████▍    | 322/592 [00:02<00:01, 158.44it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 338/592 [00:02<00:01, 141.84it/s]

→ 2000R Phase 2: corners:  60%|██████    | 357/592 [00:02<00:01, 152.42it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 373/592 [00:03<00:01, 144.41it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 389/592 [00:03<00:01, 148.42it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 405/592 [00:03<00:01, 142.03it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 424/592 [00:03<00:01, 151.96it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 440/592 [00:03<00:01, 146.69it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 458/592 [00:03<00:00, 150.83it/s]

→ 2000R Phase 2: corners:  80%|████████  | 474/592 [00:03<00:00, 152.24it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 490/592 [00:03<00:00, 152.10it/s]

→ 2000R Phase 2: corners:  85%|████████▌ | 506/592 [00:03<00:00, 147.92it/s]

→ 2000R Phase 2: corners:  88%|████████▊ | 522/592 [00:04<00:00, 145.77it/s]

→ 2000R Phase 2: corners:  91%|█████████ | 539/592 [00:04<00:00, 150.74it/s]

→ 2000R Phase 2: corners:  94%|█████████▍| 556/592 [00:04<00:00, 154.36it/s]

→ 2000R Phase 2: corners:  97%|█████████▋| 572/592 [00:04<00:00, 145.27it/s]

→ 2000R Phase 2: corners:  99%|█████████▉| 588/592 [00:04<00:00, 148.12it/s]

                                                                            [PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000244: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000245: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000246: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000247: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000248: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000249: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000517: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000518: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000519: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000520: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000521: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000522: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000884: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000885: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000886: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000887: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001084: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001085: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001086: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001090: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000246: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000248: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000519: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000520: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000521: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000886: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001086: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000230: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000231: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000232: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000250: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000251: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001087: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001088: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001089: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0001093: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001094: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0001095: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Summary: 17 frames fixed, 25 untrusted, 592 total


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→ 2000R Phase 3: finalize:  85%|████████▍ | 502/592 [00:11<00:02, 44.64it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 507/592 [00:11<00:01, 44.77it/s]

→ 2000R Phase 3: finalize:  86%|████████▋ | 512/592 [00:11<00:01, 44.61it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 517/592 [00:11<00:01, 44.47it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 522/592 [00:11<00:01, 44.44it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 527/592 [00:11<00:01, 44.38it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 532/592 [00:11<00:01, 44.33it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 537/592 [00:11<00:01, 44.20it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 542/592 [00:11<00:01, 44.18it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 547/592 [00:12<00:01, 44.09it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 552/592 [00:12<00:00, 44.02it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 557/592 [00:12<00:00, 43.97it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 562/592 [00:12<00:00, 43.98it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 567/592 [00:12<00:00, 44.11it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 572/592 [00:12<00:00, 44.33it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 577/592 [00:12<00:00, 44.43it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 582/592 [00:12<00:00, 44.61it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 587/592 [00:12<00:00, 44.65it/s]

→ 2000R Phase 3: finalize: 100%|██████████| 592/592 [00:13<00:00, 44.42it/s]

                                                                            
[TIMING] 2000R — 592 frames
  Phase 1  radial detect   (parallel)  :   9.24s  (15.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.63s  (7.8 ms/frame)
  Phase 2b corner fix      (sequential):   1.25s
  Phase 3  finalize        (sequential):  13.05s  (22.0 ms/frame)
    decode + undistort                 :   7.40s  (12.5 ms/frame)
    corner apply + refinement          :   2.50s  (4.2 ms/frame)
    segment                            :   2.45s  (4.1 ms/frame)
    smooth                             :   0.50s  (0.8 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  28.18s


Processing Rigs: 100%|██████████| 4/4 [01:48<00:00, 27.35s/it]
Processing Rigs: 100%|██████████| 4/4 [01:48<00:00, 27.11s/it]
[💾] Saved RigFrameDataset to /working/MDC053_W024_2026-08-26/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1802 frames from 4 rigs to /working/MDC053_W024_2026-08-26/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC053_W024_2026-08-26/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 561
[📋] 1500: 100 frames selected from 408
[📋] 1000: 100 frames selected from 241
[📋] 2000R: 100 frames selected from 592
[💾] Saved RigFrameDataset to /working/MDC053_W024_2026-08-26/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC053_W024_2026-08-26/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:05<07:01,  5.34s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:51,  1.45s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:15,  1.01it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:05<00:52,  1.44it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:05<00:37,  1.98it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:06<00:22,  3.22it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:06<00:18,  3.84it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:06<00:15,  4.56it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:06<00:11,  5.97it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:06<00:09,  7.13it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:06<00:08,  7.24it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:06<00:08,  7.50it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:07<00:11,  5.54it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:07<00:12,  5.12it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:10,  5.85it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:07<00:09,  6.02it/s]
Computing max image from bright frames:  28%|██▊       | 22/80 [00:07<00:07,  7.88it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:08<00:06,  9.22it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:08<00:04, 10.90it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:08<00:04, 12.30it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:08<00:04, 10.43it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:08<00:04, 11.27it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:11<00:24,  1.90it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:11<00:17,  2.58it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:12<00:13,  3.14it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:12<00:09,  4.01it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:12<00:08,  4.34it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:12<00:06,  5.64it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:12<00:05,  6.68it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:13<00:04,  7.29it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:13<00:04,  6.42it/s]
Computing max image from bright frames:  62%|██████▎   | 50/80 [00:13<00:05,  5.70it/s]
Computing max image from bright frames:  65%|██████▌   | 52/80 [00:13<00:04,  6.63it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:14<00:04,  6.74it/s]
Computing max image from bright frames:  68%|██████▊   | 54/80 [00:14<00:03,  7.02it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:14<00:02,  9.33it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:14<00:02, 10.78it/s]
Computing max image from bright frames:  76%|███████▋  | 61/80 [00:14<00:01, 14.11it/s]
Computing max image from bright frames:  79%|███████▉  | 63/80 [00:14<00:01, 11.63it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:16<00:04,  3.54it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:16<00:03,  3.98it/s]
Computing max image from bright frames:  86%|████████▋ | 69/80 [00:16<00:01,  6.12it/s]
Computing max image from bright frames:  90%|█████████ | 72/80 [00:16<00:00,  8.51it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:16<00:00,  9.61it/s]
Computing max image from bright frames:  98%|█████████▊| 78/80 [00:16<00:00, 14.04it/s]
                                                                                       
[✅] Casing detection complete: cx=1034.0, cy=764.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.84it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.84it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:25,  3.84it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:25,  3.84it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.74it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.31it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.31it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.000 | Best: {'fx': 349.495} (0.000):   7%|▋         | 7/100 [00:00<00:06, 14.31it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   8%|▊         | 8/100 [00:00<00:06, 14.31it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:04, 18.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:04, 18.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  10%|█         | 10/100 [00:00<00:04, 18.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 18.52it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.001 | Best: {'fx': 384.848} (0.003):  13%|█▎        | 13/100 [00:00<00:03, 24.49it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:03, 24.49it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 24.49it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  15%|█▌        | 15/100 [00:00<00:03, 24.49it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  16%|█▌        | 16/100 [00:00<00:03, 23.85it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 23.85it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:00<00:03, 23.85it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 23.85it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 23.85it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  20%|██        | 20/100 [00:00<00:02, 28.05it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:00<00:02, 28.05it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.009 | Best: {'fx': 448.485} (0.009):  21%|██        | 21/100 [00:01<00:02, 28.05it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  22%|██▏       | 22/100 [00:01<00:02, 28.05it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  23%|██▎       | 23/100 [00:01<00:02, 27.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:02, 27.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:01<00:02, 27.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  25%|██▌       | 25/100 [00:01<00:02, 27.59it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:02, 26.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 483.838} (0.023):  26%|██▌       | 26/100 [00:01<00:02, 26.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 490.909} (0.028):  27%|██▋       | 27/100 [00:01<00:02, 26.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.035 | Best: {'fx': 497.98} (0.035):  28%|██▊       | 28/100 [00:01<00:02, 26.03it/s] 
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.051 | Best: {'fx': 512.121} (0.051):  29%|██▉       | 29/100 [00:01<00:02, 26.03it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.051 | Best: {'fx': 512.121} (0.051):  30%|███       | 30/100 [00:01<00:02, 25.68it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.043 | Best: {'fx': 512.121} (0.051):  30%|███       | 30/100 [00:01<00:02, 25.68it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.065 | Best: {'fx': 519.192} (0.065):  31%|███       | 31/100 [00:01<00:02, 25.68it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  32%|███▏      | 32/100 [00:01<00:02, 25.68it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.077 | Best: {'fx': 526.263} (0.077):  33%|███▎      | 33/100 [00:01<00:03, 17.46it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.050 | Best: {'fx': 526.263} (0.077):  33%|███▎      | 33/100 [00:01<00:03, 17.46it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.075 | Best: {'fx': 526.263} (0.077):  34%|███▍      | 34/100 [00:01<00:03, 17.46it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.045 | Best: {'fx': 526.263} (0.077):  35%|███▌      | 35/100 [00:01<00:03, 17.46it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.045 | Best: {'fx': 526.263} (0.077):  36%|███▌      | 36/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.042 | Best: {'fx': 526.263} (0.077):  36%|███▌      | 36/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.069 | Best: {'fx': 526.263} (0.077):  37%|███▋      | 37/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.034 | Best: {'fx': 526.263} (0.077):  38%|███▊      | 38/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.036 | Best: {'fx': 526.263} (0.077):  39%|███▉      | 39/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.058 | Best: {'fx': 526.263} (0.077):  40%|████      | 40/100 [00:01<00:03, 17.01it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.058 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:01<00:02, 23.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.039 | Best: {'fx': 526.263} (0.077):  41%|████      | 41/100 [00:01<00:02, 23.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.030 | Best: {'fx': 526.263} (0.077):  42%|████▏     | 42/100 [00:01<00:02, 23.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.032 | Best: {'fx': 526.263} (0.077):  43%|████▎     | 43/100 [00:02<00:02, 23.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.032 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.030 | Best: {'fx': 526.263} (0.077):  44%|████▍     | 44/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.028 | Best: {'fx': 526.263} (0.077):  45%|████▌     | 45/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.027 | Best: {'fx': 526.263} (0.077):  46%|████▌     | 46/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  47%|████▋     | 47/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  48%|████▊     | 48/100 [00:02<00:02, 21.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.026 | Best: {'fx': 526.263} (0.077):  49%|████▉     | 49/100 [00:02<00:02, 24.65it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 526.263} (0.077):  49%|████▉     | 49/100 [00:02<00:02, 24.65it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  50%|█████     | 50/100 [00:02<00:02, 24.65it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  51%|█████     | 51/100 [00:02<00:01, 24.65it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 526.263} (0.077):  52%|█████▏    | 52/100 [00:02<00:01, 24.65it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.025 | Best: {'fx': 526.263} (0.077):  53%|█████▎    | 53/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  53%|█████▎    | 53/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.024 | Best: {'fx': 526.263} (0.077):  54%|█████▍    | 54/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  55%|█████▌    | 55/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  56%|█████▌    | 56/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.023 | Best: {'fx': 526.263} (0.077):  57%|█████▋    | 57/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  58%|█████▊    | 58/100 [00:02<00:01, 26.64it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.022 | Best: {'fx': 526.263} (0.077):  59%|█████▉    | 59/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  59%|█████▉    | 59/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  60%|██████    | 60/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  61%|██████    | 61/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  62%|██████▏   | 62/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  63%|██████▎   | 63/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  64%|██████▍   | 64/100 [00:02<00:01, 33.51it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  65%|██████▌   | 65/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  65%|██████▌   | 65/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.021 | Best: {'fx': 526.263} (0.077):  66%|██████▌   | 66/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.020 | Best: {'fx': 526.263} (0.077):  67%|██████▋   | 67/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  68%|██████▊   | 68/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  69%|██████▉   | 69/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  70%|███████   | 70/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  70%|███████   | 70/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  71%|███████   | 71/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  72%|███████▏  | 72/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  73%|███████▎  | 73/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  74%|███████▍  | 74/100 [00:02<00:00, 41.26it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.019 | Best: {'fx': 526.263} (0.077):  75%|███████▌  | 75/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  75%|███████▌  | 75/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  76%|███████▌  | 76/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  77%|███████▋  | 77/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  78%|███████▊  | 78/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  79%|███████▉  | 79/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  80%|████████  | 80/100 [00:02<00:00, 40.09it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  81%|████████  | 81/100 [00:02<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  81%|████████  | 81/100 [00:03<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.018 | Best: {'fx': 526.263} (0.077):  82%|████████▏ | 82/100 [00:03<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  83%|████████▎ | 83/100 [00:03<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  84%|████████▍ | 84/100 [00:03<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  85%|████████▌ | 85/100 [00:03<00:00, 40.58it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  86%|████████▌ | 86/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  86%|████████▌ | 86/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  87%|████████▋ | 87/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  88%|████████▊ | 88/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  89%|████████▉ | 89/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  90%|█████████ | 90/100 [00:03<00:00, 39.60it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  91%|█████████ | 91/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  91%|█████████ | 91/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  92%|█████████▏| 92/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  93%|█████████▎| 93/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  94%|█████████▍| 94/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  95%|█████████▌| 95/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  96%|█████████▌| 96/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  97%|█████████▋| 97/100 [00:03<00:00, 31.39it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  98%|█████████▊| 98/100 [00:03<00:00, 37.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  98%|█████████▊| 98/100 [00:03<00:00, 37.77it/s]
Brute | Start: {'fx': 500.0} (0.038) | Current: 0.017 | Best: {'fx': 526.263} (0.077):  99%|█████████▉| 99/100 [00:03<00:00, 37.77it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.039 | Best: {'fx': 501.263} (0.039):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.039 | Best: {'fx': 501.263} (0.039):   2%|▏         | 1/50 [00:00<00:25,  1.90it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.040 | Best: {'fx': 502.283} (0.040):   2%|▏         | 1/50 [00:00<00:25,  1.90it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.040 | Best: {'fx': 503.303} (0.040):   4%|▍         | 2/50 [00:00<00:25,  1.90it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.042 | Best: {'fx': 504.324} (0.042):   6%|▌         | 3/50 [00:00<00:24,  1.90it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.042 | Best: {'fx': 504.324} (0.042):   8%|▊         | 4/50 [00:00<00:06,  7.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.043 | Best: {'fx': 505.344} (0.043):   8%|▊         | 4/50 [00:00<00:06,  7.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.047 | Best: {'fx': 509.426} (0.047):  10%|█         | 5/50 [00:00<00:06,  7.32it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.047 | Best: {'fx': 509.426} (0.047):  12%|█▏        | 6/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.045 | Best: {'fx': 509.426} (0.047):  12%|█▏        | 6/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.044 | Best: {'fx': 509.426} (0.047):  14%|█▍        | 7/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.046 | Best: {'fx': 509.426} (0.047):  16%|█▌        | 8/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.048 | Best: {'fx': 510.446} (0.048):  18%|█▊        | 9/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.052 | Best: {'fx': 512.487} (0.052):  20%|██        | 10/50 [00:00<00:04,  9.09it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.052 | Best: {'fx': 512.487} (0.052):  22%|██▏       | 11/50 [00:00<00:02, 16.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.055 | Best: {'fx': 514.528} (0.055):  22%|██▏       | 11/50 [00:01<00:02, 16.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.050 | Best: {'fx': 514.528} (0.055):  24%|██▍       | 12/50 [00:01<00:02, 16.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.053 | Best: {'fx': 514.528} (0.055):  26%|██▌       | 13/50 [00:01<00:02, 16.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 516.569} (0.059):  28%|██▊       | 14/50 [00:01<00:02, 16.10it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 516.569} (0.059):  30%|███       | 15/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 516.569} (0.059):  30%|███       | 15/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.066 | Best: {'fx': 519.63} (0.066):  32%|███▏      | 16/50 [00:01<00:01, 19.62it/s] 
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.062 | Best: {'fx': 519.63} (0.066):  34%|███▍      | 17/50 [00:01<00:01, 19.62it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.062 | Best: {'fx': 519.63} (0.066):  36%|███▌      | 18/50 [00:01<00:01, 21.08it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.064 | Best: {'fx': 519.63} (0.066):  36%|███▌      | 18/50 [00:01<00:01, 21.08it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.069 | Best: {'fx': 521.671} (0.069):  38%|███▊      | 19/50 [00:01<00:01, 21.08it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.067 | Best: {'fx': 521.671} (0.069):  40%|████      | 20/50 [00:01<00:01, 21.08it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 522.691} (0.071):  42%|████▏     | 21/50 [00:01<00:01, 21.08it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 522.691} (0.071):  44%|████▍     | 22/50 [00:01<00:01, 22.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.075 | Best: {'fx': 524.732} (0.075):  44%|████▍     | 22/50 [00:01<00:01, 22.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 524.732} (0.075):  46%|████▌     | 23/50 [00:01<00:01, 22.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.074 | Best: {'fx': 524.732} (0.075):  48%|████▊     | 24/50 [00:01<00:01, 22.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.076 | Best: {'fx': 526.773} (0.076):  50%|█████     | 25/50 [00:01<00:01, 22.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.076 | Best: {'fx': 526.773} (0.076):  52%|█████▏    | 26/50 [00:01<00:00, 26.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.073 | Best: {'fx': 526.773} (0.076):  52%|█████▏    | 26/50 [00:01<00:00, 26.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.073 | Best: {'fx': 526.773} (0.076):  54%|█████▍    | 27/50 [00:01<00:00, 26.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.072 | Best: {'fx': 526.773} (0.076):  56%|█████▌    | 28/50 [00:01<00:00, 26.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 526.773} (0.076):  58%|█████▊    | 29/50 [00:01<00:00, 26.06it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 526.773} (0.076):  60%|██████    | 30/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.071 | Best: {'fx': 526.773} (0.076):  60%|██████    | 30/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.079 | Best: {'fx': 529.834} (0.079):  62%|██████▏   | 31/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 529.834} (0.079):  64%|██████▍   | 32/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 529.834} (0.079):  66%|██████▌   | 33/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.078 | Best: {'fx': 529.834} (0.079):  68%|██████▊   | 34/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 529.834} (0.079):  70%|███████   | 35/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 529.834} (0.079):  72%|███████▏  | 36/50 [00:01<00:00, 27.56it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.077 | Best: {'fx': 529.834} (0.079):  74%|███████▍  | 37/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.070 | Best: {'fx': 529.834} (0.079):  74%|███████▍  | 37/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.065 | Best: {'fx': 529.834} (0.079):  76%|███████▌  | 38/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.066 | Best: {'fx': 529.834} (0.079):  78%|███████▊  | 39/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.069 | Best: {'fx': 529.834} (0.079):  80%|████████  | 40/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.068 | Best: {'fx': 529.834} (0.079):  82%|████████▏ | 41/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.060 | Best: {'fx': 529.834} (0.079):  84%|████████▍ | 42/50 [00:01<00:00, 35.75it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.060 | Best: {'fx': 529.834} (0.079):  86%|████████▌ | 43/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.059 | Best: {'fx': 529.834} (0.079):  86%|████████▌ | 43/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.063 | Best: {'fx': 529.834} (0.079):  88%|████████▊ | 44/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.061 | Best: {'fx': 529.834} (0.079):  90%|█████████ | 45/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.079):  92%|█████████▏| 46/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.057 | Best: {'fx': 529.834} (0.079):  94%|█████████▍| 47/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.056 | Best: {'fx': 529.834} (0.079):  96%|█████████▌| 48/50 [00:01<00:00, 41.36it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.056 | Best: {'fx': 529.834} (0.079):  98%|█████████▊| 49/50 [00:01<00:00, 44.38it/s]
Brute | Start: {'fx': 526.263} (0.077) | Current: 0.054 | Best: {'fx': 529.834} (0.079):  98%|█████████▊| 49/50 [00:01<00:00, 44.38it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 529.8340548340549
    px: 1034.0
    py: 764.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


[🔲] Square Reference Optimization
    Including tangential distortion parameters (p1, p2, p3, p4) in joint optimization
  Selecting up to 20 frames per rig (excluded 1 incomplete frames): 79 frames will be used for optimization
  Rigs: 2000L(2000mm):20/20, 1500(1500mm):20/20, 1000(1000mm):20/20, 2000R(2000mm):19/20
  Total: 79/80 frames used for optimization

Initial score: 34.1344: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 34.1344, picklable_objective(x0) = 34.1877

Best score: 34.1877: : 0iter [00:01, ?iter/s] 
Best score: 34.1877: : 1iter [00:01,  2.00s/iter]
Best score: 34.1877: : 1iter [00:02,  2.00s/iter]
Best score: 34.1877: : 2iter [00:02,  2.00s/iter]
Best score: 34.1877: : 3iter [00:02,  1.72iter/s]
Best score: 34.1877: : 3iter [00:02,  1.72iter/s]
Best score: 34.1877: : 4iter [00:02,  1.72iter/s]
Best score: 34.1877: : 5iter [00:02,  3.05iter/s]
Best score: 34.1877: : 5iter [00:02,  3.05iter/s]
Best score: 34.1877: : 6iter [00:02,  3.05iter/s]
Best score: 34.1877: : 7iter [00:02,  4.43iter/s]
Best score: 34.1877: : 7iter [00:02,  4.43iter/s]
Best score: 34.1877: : 8iter [00:02,  4.43iter/s]
Best score: 34.1877: : 9iter [00:02,  5.76iter/s]
Best score: 34.1877: : 9iter [00:02,  5.76iter/s]
Best score: 34.1877: : 10iter [00:02,  5.76iter/s]
Best score: 34.1877: : 11iter [00:02,  6.93iter/s]
Best score: 34.1877: : 11iter [00:02,  6.93iter/s]
Best score: 34.1877: : 12iter [00:03,  6.93iter/s]
Best score: 34.1877: : 13iter [00:03,  7.98iter/s]
Best score: 34.1877: : 13iter [00:03,  7.98iter/s]
Best score: 34.1877: : 14iter [00:03,  7.98iter/s]
Best score: 34.1877: : 15iter [00:03,  8.86iter/s]
Best score: 34.1877: : 15iter [00:03,  8.86iter/s]
Best score: 34.1877: : 16iter [00:03,  8.86iter/s]
Best score: 34.1877: : 17iter [00:03,  9.52iter/s]
Best score: 34.1877: : 17iter [00:03,  9.52iter/s]
Best score: 34.1877: : 18iter [00:03,  9.52iter/s]
Best score: 34.1877: : 19iter [00:03, 10.03iter/s]
Best score: 34.1877: : 19iter [00:03, 10.03iter/s]
Best score: 34.1877: : 20iter [00:03, 10.03iter/s]
Best score: 34.1877: : 21iter [00:03, 10.27iter/s]
Best score: 34.1877: : 21iter [00:03, 10.27iter/s]
Best score: 34.1877: : 22iter [00:03, 10.27iter/s]
Best score: 34.1877: : 23iter [00:03, 10.64iter/s]
Best score: 34.1877: : 23iter [00:04, 10.64iter/s]
Best score: 34.1877: : 24iter [00:04, 10.64iter/s]
Best score: 34.1877: : 25iter [00:04, 10.87iter/s]
Best score: 34.1877: : 25iter [00:04, 10.87iter/s]
Best score: 34.1877: : 26iter [00:04, 10.87iter/s]
Best score: 34.1877: : 27iter [00:04, 11.01iter/s]
Best score: 34.1877: : 27iter [00:04, 11.01iter/s]
Best score: 34.1877: : 28iter [00:04, 11.01iter/s]
Best score: 34.1877: : 29iter [00:04, 11.12iter/s]
Best score: 34.1877: : 29iter [00:04, 11.12iter/s]
Best score: 34.1877: : 30iter [00:04, 11.12iter/s]
Best score: 34.1877: : 31iter [00:04, 11.08iter/s]
Best score: 34.1877: : 31iter [00:04, 11.08iter/s]
Best score: 34.1877: : 32iter [00:04, 11.08iter/s]
Best score: 34.1877: : 33iter [00:04, 11.22iter/s]
Best score: 34.1877: : 33iter [00:04, 11.22iter/s]
Best score: 34.1877: : 34iter [00:04, 11.22iter/s]
Best score: 34.1877: : 35iter [00:04, 11.26iter/s]
Best score: 34.1877: : 35iter [00:05, 11.26iter/s]
Best score: 34.1877: : 36iter [00:05, 11.26iter/s]
Best score: 34.1877: : 37iter [00:05, 11.27iter/s]
Best score: 34.1877: : 37iter [00:05, 11.27iter/s]
Best score: 34.1877: : 38iter [00:05, 11.27iter/s]
Best score: 34.1877: : 39iter [00:05, 11.32iter/s]
Best score: 34.1877: : 39iter [00:05, 11.32iter/s]
Best score: 34.1877: : 40iter [00:05, 11.32iter/s]
Best score: 34.1877: : 41iter [00:05, 11.24iter/s]
Best score: 34.1877: : 41iter [00:05, 11.24iter/s]
Best score: 34.1877: : 42iter [00:05, 11.24iter/s]
Best score: 34.1877: : 43iter [00:05, 11.31iter/s]
Best score: 34.1877: : 43iter [00:05, 11.31iter/s]
Best score: 34.1877: : 44iter [00:05, 11.31iter/s]
Best score: 34.1877: : 45iter [00:05, 11.36iter/s]
Best score: 34.1877: : 45iter [00:05, 11.36iter/s]
Best score: 34.1877: : 46iter [00:06, 11.36iter/s]
Best score: 34.1877: : 47iter [00:06, 11.43iter/s]
Best score: 34.1877: : 47iter [00:06, 11.43iter/s]
Best score: 34.1877: : 48iter [00:06, 11.43iter/s]
Best score: 34.1877: : 49iter [00:06, 11.42iter/s]
[ITER 50] Best: 34.1877
[PARAMS] Current best parameters:
  fx: 529.8341
  fy: 529.8341
  px: 1034.0000
  py: 764.0000
  k1: 0.00000000
  k2: -0.00000000
  k3: 0.00000000
  k4: 0.00000000
  p1: 0.00000000
  p2: 0.00000000
  p3: 0.00000000
  p4: 0.00000000
  s1: 0.0000
  s2: 0.0000
  s3: 0.0000
  s4: 0.0000
  tilt_x: 0.0000
  tilt_y: 0.0000
  scale: 3.0000
  rotation: 0.0000

Best score: 34.1877: : 49iter [00:06, 11.42iter/s]
Best score: 34.1877: : 50iter [00:06, 11.42iter/s]
Best score: 34.1877: : 51iter [00:06, 11.34iter/s]
Best score: 34.1877: : 51iter [00:06, 11.34iter/s]
Best score: 34.1877: : 52iter [00:06, 11.34iter/s]
Best score: 34.1877: : 53iter [00:06, 11.46iter/s]
Best score: 34.1877: : 53iter [00:06, 11.46iter/s]
Best score: 34.1877: : 54iter [00:06, 11.46iter/s]
Best score: 34.1877: : 55iter [00:06, 11.48iter/s]
Best score: 34.1877: : 55iter [00:06, 11.48iter/s]
Best score: 34.1877: : 56iter [00:06, 11.48iter/s]
Best score: 34.1877: : 57iter [00:06, 11.47iter/s]
Best score: 34.1877: : 57iter [00:07, 11.47iter/s]
Best score: 34.1877: : 58iter [00:07, 11.47iter/s]
Best score: 34.1877: : 59iter [00:07, 11.52iter/s]
Best score: 34.1877: : 59iter [00:07, 11.52iter/s]
Best score: 34.1877: : 60iter [00:07, 11.52iter/s]
Best score: 34.1877: : 61iter [00:07, 11.35iter/s]
Best score: 34.1877: : 61iter [00:07, 11.35iter/s]
Best score: 34.1877: : 62iter [00:07, 11.35iter/s]
Best score: 34.1877: : 63iter [00:07, 11.44iter/s]
Best score: 34.1877: : 63iter [00:07, 11.44iter/s]
Best score: 34.1877: : 64iter [00:07, 11.44iter/s]
Best score: 34.1877: : 65iter [00:07, 11.49iter/s]
Best score: 34.1877: : 65iter [00:07, 11.49iter/s]
Best score: 34.1877: : 66iter [00:07, 11.49iter/s]
Best score: 34.1877: : 67iter [00:07, 11.51iter/s]
Best score: 34.1877: : 67iter [00:07, 11.51iter/s]
Best score: 34.1877: : 68iter [00:07, 11.51iter/s]
Best score: 34.1877: : 69iter [00:07, 11.52iter/s]
Best score: 34.1877: : 69iter [00:08, 11.52iter/s]
Best score: 34.1877: : 70iter [00:08, 11.52iter/s]
Best score: 34.1877: : 71iter [00:08, 11.41iter/s]
Best score: 34.1877: : 71iter [00:08, 11.41iter/s]
Best score: 34.1877: : 72iter [00:08, 11.41iter/s]
Best score: 34.1877: : 73iter [00:08, 11.46iter/s]
Best score: 34.1877: : 73iter [00:08, 11.46iter/s]
Best score: 34.1877: : 74iter [00:08, 11.46iter/s]
Best score: 34.1877: : 75iter [00:08, 11.53iter/s]
Best score: 34.1877: : 75iter [00:08, 11.53iter/s]
Best score: 34.1877: : 76iter [00:08, 11.53iter/s]
Best score: 34.1877: : 77iter [00:08, 11.55iter/s]
Best score: 34.1877: : 77iter [00:08, 11.55iter/s]
Best score: 34.1877: : 78iter [00:08, 11.55iter/s]
Best score: 34.1877: : 79iter [00:08, 11.56iter/s]
Best score: 33.2357: : 79iter [00:08, 11.56iter/s]
Best score: 33.2357: : 80iter [00:09, 11.56iter/s]
Best score: 33.2357: : 81iter [00:09, 11.34iter/s]
Best score: 33.2357: : 81iter [00:09, 11.34iter/s]
Best score: 33.2357: : 82iter [00:09, 11.34iter/s]
Best score: 33.2357: : 83iter [00:09, 11.41iter/s]
Best score: 33.2357: : 83iter [00:09, 11.41iter/s]
Best score: 33.2357: : 84iter [00:09, 11.41iter/s]
Best score: 33.2357: : 85iter [00:09, 11.50iter/s]
Best score: 33.2357: : 85iter [00:09, 11.50iter/s]
Best score: 33.2357: : 86iter [00:09, 11.50iter/s]
Best score: 33.2357: : 87iter [00:09, 11.55iter/s]
Best score: 33.2357: : 87iter [00:09, 11.55iter/s]
Best score: 33.2357: : 88iter [00:09, 11.55iter/s]
Best score: 33.2357: : 89iter [00:09, 11.61iter/s]
Best score: 33.2357: : 89iter [00:09, 11.61iter/s]
Best score: 33.2357: : 90iter [00:09, 11.61iter/s]
Best score: 33.2357: : 91iter [00:09, 11.44iter/s]
Best score: 33.2357: : 91iter [00:09, 11.44iter/s]
Best score: 33.2357: : 92iter [00:10, 11.44iter/s]
Best score: 33.2357: : 93iter [00:10, 11.50iter/s]
Best score: 33.2357: : 93iter [00:10, 11.50iter/s]
Best score: 33.2357: : 94iter [00:10, 11.50iter/s]
Best score: 33.2357: : 95iter [00:10, 11.55iter/s]
Best score: 33.2357: : 95iter [00:10, 11.55iter/s]
Best score: 33.2357: : 96iter [00:10, 11.55iter/s]
Best score: 33.2357: : 97iter [00:10, 11.52iter/s]
Best score: 33.2357: : 97iter [00:10, 11.52iter/s]
Best score: 33.2357: : 98iter [00:10, 11.52iter/s]
Best score: 33.2357: : 99iter [00:10, 11.52iter/s]
[ITER 100] Best: 16.3075
[PARAMS] Current best parameters:
  fx: 523.2070
  fy: 524.1847
  px: 1031.8459
  py: 773.9371
  k1: -0.02037811
  k2: 0.01052995
  k3: 0.00105769
  k4: 0.00115985
  p1: 0.01011675
  p2: 0.00834070
  p3: 0.00321477
  p4: -0.00266256
  s1: 0.0043
  s2: 0.0132
  s3: 0.0057
  s4: -0.0007
  tilt_x: -0.0132
  tilt_y: 0.0261
  scale: 3.0692
  rotation: -0.4436

Best score: 16.3075: : 99iter [00:10, 11.52iter/s]
Best score: 16.3075: : 100iter [00:10, 11.52iter/s]
Best score: 16.3075: : 101iter [00:10,  9.86iter/s]
Best score: 16.3075: : 101iter [00:10,  9.86iter/s]
Best score: 16.3075: : 102iter [00:11,  9.86iter/s]
Best score: 16.3075: : 103iter [00:11, 10.22iter/s]
Best score: 16.3075: : 103iter [00:11, 10.22iter/s]
Best score: 16.3075: : 104iter [00:11, 10.22iter/s]
Best score: 16.3075: : 105iter [00:11, 10.58iter/s]
Best score: 16.3075: : 105iter [00:11, 10.58iter/s]
Best score: 16.3075: : 106iter [00:11, 10.58iter/s]
Best score: 16.3075: : 107iter [00:11, 10.82iter/s]
Best score: 16.3075: : 107iter [00:11, 10.82iter/s]
Best score: 16.3075: : 108iter [00:11, 10.82iter/s]
Best score: 16.3075: : 109iter [00:11, 11.00iter/s]
Best score: 16.3075: : 109iter [00:11, 11.00iter/s]
Best score: 16.3075: : 110iter [00:11, 11.00iter/s]
Best score: 16.3075: : 111iter [00:11, 10.95iter/s]
Best score: 16.3075: : 111iter [00:11, 10.95iter/s]
Best score: 16.3075: : 112iter [00:11, 10.95iter/s]
Best score: 16.3075: : 113iter [00:11, 11.11iter/s]
Best score: 16.3075: : 113iter [00:11, 11.11iter/s]
Best score: 16.3075: : 114iter [00:12, 11.11iter/s]
Best score: 16.3075: : 115iter [00:12, 11.21iter/s]
Best score: 16.3075: : 115iter [00:12, 11.21iter/s]
Best score: 16.3075: : 116iter [00:12, 11.21iter/s]
Best score: 16.3075: : 117iter [00:12, 11.25iter/s]
Best score: 16.3075: : 117iter [00:12, 11.25iter/s]
Best score: 16.3075: : 118iter [00:12, 11.25iter/s]
Best score: 16.3075: : 119iter [00:12, 11.30iter/s]
Best score: 16.3075: : 119iter [00:12, 11.30iter/s]
Best score: 16.3075: : 120iter [00:12, 11.30iter/s]
Best score: 16.3075: : 121iter [00:12, 11.16iter/s]
Best score: 16.3075: : 121iter [00:12, 11.16iter/s]
Best score: 16.3075: : 122iter [00:12, 11.16iter/s]
Best score: 16.3075: : 123iter [00:12, 11.24iter/s]
Best score: 16.3075: : 123iter [00:12, 11.24iter/s]
Best score: 16.3075: : 124iter [00:12, 11.24iter/s]
Best score: 16.3075: : 125iter [00:12, 11.26iter/s]
Best score: 16.3075: : 125iter [00:13, 11.26iter/s]
Best score: 16.3075: : 126iter [00:13, 11.26iter/s]
Best score: 16.3075: : 127iter [00:13, 11.32iter/s]
Best score: 16.3075: : 127iter [00:13, 11.32iter/s]
Best score: 16.3075: : 128iter [00:13, 11.32iter/s]
Best score: 16.3075: : 129iter [00:13, 11.36iter/s]
Best score: 16.3075: : 129iter [00:13, 11.36iter/s]
Best score: 16.3075: : 130iter [00:13, 11.36iter/s]
Best score: 16.3075: : 131iter [00:13, 11.24iter/s]
Best score: 16.3075: : 131iter [00:13, 11.24iter/s]
Best score: 16.3075: : 132iter [00:13, 11.24iter/s]
Best score: 16.3075: : 133iter [00:13, 11.32iter/s]
Best score: 16.3075: : 133iter [00:13, 11.32iter/s]
Best score: 16.3075: : 134iter [00:13, 11.32iter/s]
Best score: 16.3075: : 135iter [00:13, 11.38iter/s]
Best score: 16.3075: : 135iter [00:13, 11.38iter/s]
Best score: 16.3075: : 136iter [00:14, 11.38iter/s]
Best score: 16.3075: : 137iter [00:14, 11.45iter/s]
Best score: 16.3075: : 137iter [00:14, 11.45iter/s]
Best score: 16.3075: : 138iter [00:14, 11.45iter/s]
Best score: 16.3075: : 139iter [00:14, 11.52iter/s]
Best score: 16.3075: : 139iter [00:14, 11.52iter/s]
Best score: 16.3075: : 140iter [00:14, 11.52iter/s]
Best score: 16.3075: : 141iter [00:14, 11.36iter/s]
Best score: 16.3075: : 141iter [00:14, 11.36iter/s]
Best score: 16.3075: : 142iter [00:14, 11.36iter/s]
Best score: 16.3075: : 143iter [00:14, 11.41iter/s]
Best score: 16.3075: : 143iter [00:14, 11.41iter/s]
Best score: 16.3075: : 144iter [00:14, 11.41iter/s]
Best score: 16.3075: : 145iter [00:14, 11.46iter/s]
Best score: 16.3075: : 145iter [00:14, 11.46iter/s]
Best score: 16.3075: : 146iter [00:14, 11.46iter/s]
Best score: 16.3075: : 147iter [00:14, 11.50iter/s]
Best score: 16.3075: : 147iter [00:14, 11.50iter/s]
Best score: 16.3075: : 148iter [00:15, 11.50iter/s]
Best score: 16.3075: : 149iter [00:15, 11.52iter/s]
[ITER 150] Best: 16.3075
[PARAMS] Current best parameters:
  fx: 523.2070
  fy: 524.1847
  px: 1031.8459
  py: 773.9371
  k1: -0.02037811
  k2: 0.01052995
  k3: 0.00105769
  k4: 0.00115985
  p1: 0.01011675
  p2: 0.00834070
  p3: 0.00321477
  p4: -0.00266256
  s1: 0.0043
  s2: 0.0132
  s3: 0.0057
  s4: -0.0007
  tilt_x: -0.0132
  tilt_y: 0.0261
  scale: 3.0692
  rotation: -0.4436

Best score: 16.3075: : 149iter [00:15, 11.52iter/s]
[Periodic outlier @ iter 50] Removing 1500 frame 4 (score=213.89, threshold=182.78)
  Remaining frames: 78

Best score: 16.3075: : 150iter [00:15, 11.52iter/s]
Best score: 16.3075: : 151iter [00:15,  6.52iter/s]
Best score: 16.3075: : 151iter [00:15,  6.52iter/s]
Best score: 16.3075: : 152iter [00:15,  6.52iter/s]
Best score: 16.3075: : 153iter [00:15,  7.51iter/s]
Best score: 16.3075: : 153iter [00:15,  7.51iter/s]
Best score: 16.3075: : 154iter [00:16,  7.51iter/s]
Best score: 16.3075: : 155iter [00:16,  8.40iter/s]
Best score: 16.3075: : 155iter [00:16,  8.40iter/s]
Best score: 16.3075: : 156iter [00:16,  8.40iter/s]
Best score: 16.3075: : 157iter [00:16,  9.14iter/s]
Best score: 16.3075: : 157iter [00:16,  9.14iter/s]
Best score: 16.3075: : 158iter [00:16,  9.14iter/s]
Best score: 16.3075: : 159iter [00:16,  9.77iter/s]
Best score: 13.9822: : 159iter [00:16,  9.77iter/s]
Best score: 13.9822: : 160iter [00:16,  9.77iter/s]
Best score: 13.9822: : 161iter [00:16, 10.14iter/s]
Best score: 13.9822: : 161iter [00:16, 10.14iter/s]
Best score: 13.9822: : 162iter [00:16, 10.14iter/s]
Best score: 13.9822: : 163iter [00:16,  8.38iter/s]
Best score: 13.9822: : 163iter [00:16,  8.38iter/s]
Best score: 13.9822: : 164iter [00:17,  8.38iter/s]
Best score: 13.9822: : 165iter [00:17,  9.15iter/s]
Best score: 13.9822: : 165iter [00:17,  9.15iter/s]
Best score: 13.9822: : 166iter [00:17,  9.15iter/s]
Best score: 13.9822: : 167iter [00:17,  9.81iter/s]
Best score: 13.9822: : 167iter [00:17,  9.81iter/s]
Best score: 13.9822: : 168iter [00:17,  9.81iter/s]
Best score: 13.9822: : 169iter [00:17, 10.31iter/s]
Best score: 13.9822: : 169iter [00:17, 10.31iter/s]
Best score: 13.9822: : 170iter [00:17, 10.31iter/s]
Best score: 13.9822: : 171iter [00:17, 10.54iter/s]
Best score: 13.9822: : 171iter [00:17, 10.54iter/s]
Best score: 13.9822: : 172iter [00:17, 10.54iter/s]
Best score: 13.9822: : 173iter [00:17, 10.88iter/s]
Best score: 13.9822: : 173iter [00:17, 10.88iter/s]
Best score: 13.9822: : 174iter [00:17, 10.88iter/s]
Best score: 13.9822: : 175iter [00:17, 11.11iter/s]
Best score: 13.9822: : 175iter [00:17, 11.11iter/s]
Best score: 13.9822: : 176iter [00:18, 11.11iter/s]
Best score: 13.9822: : 177iter [00:18, 11.34iter/s]
Best score: 13.9822: : 177iter [00:18, 11.34iter/s]
Best score: 13.9822: : 178iter [00:18, 11.34iter/s]
Best score: 13.9822: : 179iter [00:18, 11.49iter/s]
Best score: 13.9822: : 179iter [00:18, 11.49iter/s]
Best score: 13.9822: : 180iter [00:18, 11.49iter/s]
Best score: 13.9822: : 181iter [00:18, 11.39iter/s]
Best score: 13.9822: : 181iter [00:18, 11.39iter/s]
Best score: 13.9822: : 182iter [00:18, 11.39iter/s]
Best score: 13.9822: : 183iter [00:18, 11.46iter/s]
Best score: 13.9822: : 183iter [00:18, 11.46iter/s]
Best score: 13.9822: : 184iter [00:18, 11.46iter/s]
Best score: 13.9822: : 185iter [00:18, 11.57iter/s]
Best score: 13.9822: : 185iter [00:18, 11.57iter/s]
Best score: 13.9822: : 186iter [00:18, 11.57iter/s]
Best score: 13.9822: : 187iter [00:18, 11.61iter/s]
Best score: 13.9822: : 187iter [00:19, 11.61iter/s]
Best score: 13.9822: : 188iter [00:19, 11.61iter/s]
Best score: 13.9822: : 189iter [00:19, 11.62iter/s]
Best score: 13.9822: : 189iter [00:19, 11.62iter/s]
Best score: 13.9822: : 190iter [00:19, 11.62iter/s]
Best score: 13.9822: : 191iter [00:19, 11.51iter/s]
Best score: 13.9822: : 191iter [00:19, 11.51iter/s]
Best score: 13.9822: : 192iter [00:19, 11.51iter/s]
Best score: 13.9822: : 193iter [00:19, 11.56iter/s]
Best score: 13.9822: : 193iter [00:19, 11.56iter/s]
Best score: 13.9822: : 194iter [00:19, 11.56iter/s]
Best score: 13.9822: : 195iter [00:19, 11.64iter/s]
Best score: 13.9822: : 195iter [00:19, 11.64iter/s]
Best score: 13.9822: : 196iter [00:19, 11.64iter/s]
Best score: 13.9822: : 197iter [00:19, 11.69iter/s]
Best score: 13.9822: : 197iter [00:19, 11.69iter/s]
Best score: 13.9822: : 198iter [00:19, 11.69iter/s]
Best score: 13.9822: : 199iter [00:19, 11.74iter/s]
[ITER 200] Best: 13.9822
[PARAMS] Current best parameters:
  fx: 523.2070
  fy: 524.1847
  px: 1031.8459
  py: 773.9371
  k1: -0.02037811
  k2: 0.01052995
  k3: 0.00105769
  k4: 0.00115985
  p1: 0.01011675
  p2: 0.00834070
  p3: 0.00321477
  p4: -0.00266256
  s1: 0.0043
  s2: 0.0132
  s3: 0.0057
  s4: -0.0007
  tilt_x: -0.0132
  tilt_y: 0.0261
  scale: 3.0692
  rotation: -0.4436

Best score: 13.9822: : 199iter [00:20, 11.74iter/s]
Best score: 13.9822: : 200iter [00:20, 11.74iter/s]
Best score: 13.9822: : 201iter [00:20,  7.63iter/s]
Best score: 13.9822: : 201iter [00:20,  7.63iter/s]
Best score: 13.9822: : 202iter [00:20,  7.63iter/s]
Best score: 13.9822: : 203iter [00:20,  8.53iter/s]
Best score: 13.9822: : 203iter [00:20,  8.53iter/s]
Best score: 13.9822: : 204iter [00:20,  8.53iter/s]
Best score: 13.9822: : 205iter [00:20,  9.28iter/s]
Best score: 13.9822: : 205iter [00:20,  9.28iter/s]
Best score: 13.9822: : 206iter [00:20,  9.28iter/s]
Best score: 13.9822: : 207iter [00:20,  9.90iter/s]
Best score: 13.9822: : 207iter [00:21,  9.90iter/s]
Best score: 13.9822: : 208iter [00:21,  9.90iter/s]
Best score: 13.9822: : 209iter [00:21, 10.38iter/s]
Best score: 13.9822: : 209iter [00:21, 10.38iter/s]
Best score: 13.9822: : 210iter [00:21, 10.38iter/s]
Best score: 13.9822: : 211iter [00:21, 10.63iter/s]
Best score: 13.9822: : 211iter [00:21, 10.63iter/s]
Best score: 13.9822: : 212iter [00:21, 10.63iter/s]
Best score: 13.9822: : 213iter [00:21, 11.00iter/s]
Best score: 13.9822: : 213iter [00:21, 11.00iter/s]
Best score: 13.9822: : 214iter [00:21, 11.00iter/s]
Best score: 13.9822: : 215iter [00:21, 11.24iter/s]
Best score: 13.9822: : 215iter [00:21, 11.24iter/s]
Best score: 13.9822: : 216iter [00:21, 11.24iter/s]
Best score: 13.9822: : 217iter [00:21, 11.47iter/s]
Best score: 13.9822: : 217iter [00:21, 11.47iter/s]
Best score: 13.9822: : 218iter [00:21, 11.47iter/s]
Best score: 13.9822: : 219iter [00:21, 11.59iter/s]
Best score: 13.9822: : 219iter [00:22, 11.59iter/s]
Best score: 13.9822: : 220iter [00:22, 11.59iter/s]
Best score: 13.9822: : 221iter [00:22, 11.46iter/s]
Best score: 13.9822: : 221iter [00:22, 11.46iter/s]
Best score: 13.9822: : 222iter [00:22, 11.46iter/s]
Best score: 13.9822: : 223iter [00:22, 11.59iter/s]
Best score: 13.9822: : 223iter [00:22, 11.59iter/s]
Best score: 13.9822: : 224iter [00:22, 11.59iter/s]
Best score: 13.9822: : 225iter [00:22, 11.69iter/s]
Best score: 13.9822: : 225iter [00:22, 11.69iter/s]
Best score: 13.9822: : 226iter [00:22, 11.69iter/s]
Best score: 13.9822: : 227iter [00:22, 11.78iter/s]
Best score: 13.9822: : 227iter [00:22, 11.78iter/s]
Best score: 13.9822: : 228iter [00:22, 11.78iter/s]
Best score: 13.9822: : 229iter [00:22, 11.81iter/s]
Best score: 13.9822: : 229iter [00:22, 11.81iter/s]
Best score: 13.9822: : 230iter [00:23, 11.81iter/s]
Best score: 13.9822: : 231iter [00:23, 11.63iter/s]
Best score: 13.9822: : 231iter [00:23, 11.63iter/s]
Best score: 13.9822: : 232iter [00:23, 11.63iter/s]
Best score: 13.9822: : 233iter [00:23, 11.71iter/s]
Best score: 13.9822: : 233iter [00:23, 11.71iter/s]
Best score: 13.9822: : 234iter [00:23, 11.71iter/s]
Best score: 13.9822: : 235iter [00:23, 11.72iter/s]
Best score: 13.9822: : 235iter [00:23, 11.72iter/s]
Best score: 13.9822: : 236iter [00:23, 11.72iter/s]
Best score: 13.9822: : 237iter [00:23, 11.81iter/s]
Best score: 13.9822: : 237iter [00:23, 11.81iter/s]
Best score: 13.9822: : 238iter [00:23, 11.81iter/s]
Best score: 13.9822: : 239iter [00:23, 11.83iter/s]
Best score: 13.9822: : 239iter [00:23, 11.83iter/s]
Best score: 13.9822: : 240iter [00:23, 11.83iter/s]
Best score: 13.9822: : 241iter [00:23, 11.65iter/s]
Best score: 13.9822: : 241iter [00:23, 11.65iter/s]
Best score: 13.9822: : 242iter [00:24, 11.65iter/s]
Best score: 13.9822: : 243iter [00:24, 11.71iter/s]
Best score: 13.9822: : 243iter [00:24, 11.71iter/s]
Best score: 13.9822: : 244iter [00:24, 11.71iter/s]
Best score: 13.9822: : 245iter [00:24, 11.76iter/s]
Best score: 13.9822: : 245iter [00:24, 11.76iter/s]
Best score: 13.9822: : 246iter [00:24, 11.76iter/s]
Best score: 13.9822: : 247iter [00:24, 11.74iter/s]
Best score: 13.9822: : 247iter [00:24, 11.74iter/s]
Best score: 13.9822: : 248iter [00:24, 11.74iter/s]
Best score: 13.9822: : 249iter [00:24, 11.81iter/s]
[ITER 250] Best: 9.5946
[PARAMS] Current best parameters:
  fx: 530.8654
  fy: 530.4709
  px: 1030.7478
  py: 775.0699
  k1: -0.00791894
  k2: 0.01152885
  k3: -0.00859684
  k4: 0.00314642
  p1: 0.02419627
  p2: 0.00233109
  p3: -0.01406042
  p4: 0.00563093
  s1: 0.0171
  s2: 0.0038
  s3: 0.0017
  s4: -0.0131
  tilt_x: -0.0260
  tilt_y: 0.0224
  scale: 2.9856
  rotation: -0.2034

Best score: 9.5946: : 249iter [00:24, 11.81iter/s] 
[Periodic outlier @ iter 150] Removing 2000L frame 5 (score=124.80, threshold=94.86)
  Remaining frames: 77

Best score: 9.5946: : 250iter [00:25, 11.81iter/s]
Best score: 9.5946: : 251iter [00:25,  6.61iter/s]
Best score: 9.5946: : 251iter [00:25,  6.61iter/s]
Best score: 9.5946: : 252iter [00:25,  6.61iter/s]
Best score: 9.5946: : 253iter [00:25,  7.62iter/s]
Best score: 9.5946: : 253iter [00:25,  7.62iter/s]
Best score: 9.5946: : 254iter [00:25,  7.62iter/s]
Best score: 9.5946: : 255iter [00:25,  8.52iter/s]
Best score: 9.5946: : 255iter [00:25,  8.52iter/s]
Best score: 9.5946: : 256iter [00:25,  8.52iter/s]
Best score: 9.5946: : 257iter [00:25,  9.31iter/s]
Best score: 9.5946: : 257iter [00:25,  9.31iter/s]
Best score: 9.5946: : 258iter [00:25,  9.31iter/s]
Best score: 9.5946: : 259iter [00:25,  9.94iter/s]
Best score: 8.4339: : 259iter [00:25,  9.94iter/s]
Best score: 8.4339: : 260iter [00:25,  9.94iter/s]
Best score: 8.4339: : 261iter [00:25, 10.30iter/s]
Best score: 8.4339: : 261iter [00:26, 10.30iter/s]
Best score: 8.4339: : 262iter [00:26, 10.30iter/s]
Best score: 8.4339: : 263iter [00:26, 10.72iter/s]
Best score: 8.4339: : 263iter [00:26, 10.72iter/s]
Best score: 8.4339: : 264iter [00:26, 10.72iter/s]
Best score: 8.4339: : 265iter [00:26, 11.06iter/s]
Best score: 8.4339: : 265iter [00:26, 11.06iter/s]
Best score: 8.4339: : 266iter [00:26, 11.06iter/s]
Best score: 8.4339: : 267iter [00:26, 11.30iter/s]
Best score: 8.4339: : 267iter [00:26, 11.30iter/s]
Best score: 8.4339: : 268iter [00:26, 11.30iter/s]
Best score: 8.4339: : 269iter [00:26, 11.46iter/s]
Best score: 8.4339: : 269iter [00:26, 11.46iter/s]
Best score: 8.4339: : 270iter [00:26, 11.46iter/s]
Best score: 8.4339: : 271iter [00:26, 11.40iter/s]
Best score: 8.4339: : 271iter [00:26, 11.40iter/s]
Best score: 8.4339: : 272iter [00:27, 11.40iter/s]
Best score: 8.4339: : 273iter [00:27, 11.52iter/s]
Best score: 8.4339: : 273iter [00:27, 11.52iter/s]
Best score: 8.4339: : 274iter [00:27, 11.52iter/s]
Best score: 8.4339: : 275iter [00:27, 11.63iter/s]
Best score: 8.4339: : 275iter [00:27, 11.63iter/s]
Best score: 8.4339: : 276iter [00:27, 11.63iter/s]
Best score: 8.4339: : 277iter [00:27, 11.72iter/s]
Best score: 8.4339: : 277iter [00:27, 11.72iter/s]
Best score: 8.4339: : 278iter [00:27, 11.72iter/s]
Best score: 8.4339: : 279iter [00:27, 11.75iter/s]
Best score: 8.4339: : 279iter [00:27, 11.75iter/s]
Best score: 8.4339: : 280iter [00:27, 11.75iter/s]
Best score: 8.4339: : 281iter [00:27, 11.60iter/s]
Best score: 8.4339: : 281iter [00:27, 11.60iter/s]
Best score: 8.4339: : 282iter [00:27, 11.60iter/s]
Best score: 8.4339: : 283iter [00:27, 11.69iter/s]
Best score: 8.4339: : 283iter [00:27, 11.69iter/s]
Best score: 8.4339: : 284iter [00:28, 11.69iter/s]
Best score: 8.4339: : 285iter [00:28, 11.79iter/s]
Best score: 8.4339: : 285iter [00:28, 11.79iter/s]
Best score: 8.4339: : 286iter [00:28, 11.79iter/s]
Best score: 8.4339: : 287iter [00:28, 11.80iter/s]
Best score: 8.4339: : 287iter [00:28, 11.80iter/s]
Best score: 8.4339: : 288iter [00:28, 11.80iter/s]
Best score: 8.4339: : 289iter [00:28, 11.87iter/s]
Best score: 8.4339: : 289iter [00:28, 11.87iter/s]
Best score: 8.4339: : 290iter [00:28, 11.87iter/s]
Best score: 8.4339: : 291iter [00:28, 11.72iter/s]
Best score: 8.4339: : 291iter [00:28, 11.72iter/s]
Best score: 8.4339: : 292iter [00:28, 11.72iter/s]
Best score: 8.4339: : 293iter [00:28, 11.81iter/s]
Best score: 8.4339: : 293iter [00:28, 11.81iter/s]
Best score: 8.4339: : 294iter [00:28, 11.81iter/s]
Best score: 8.4339: : 295iter [00:28, 11.91iter/s]
Best score: 8.4339: : 295iter [00:28, 11.91iter/s]
Best score: 8.4339: : 296iter [00:29, 11.91iter/s]
Best score: 8.4339: : 297iter [00:29, 11.97iter/s]
Best score: 8.4339: : 297iter [00:29, 11.97iter/s]
Best score: 8.4339: : 298iter [00:29, 11.97iter/s]
Best score: 8.4339: : 299iter [00:29, 12.01iter/s]
[ITER 300] Best: 8.4339
[PARAMS] Current best parameters:
  fx: 530.8654
  fy: 530.4709
  px: 1030.7478
  py: 775.0699
  k1: -0.00791894
  k2: 0.01152885
  k3: -0.00859684
  k4: 0.00314642
  p1: 0.02419627
  p2: 0.00233109
  p3: -0.01406042
  p4: 0.00563093
  s1: 0.0171
  s2: 0.0038
  s3: 0.0017
  s4: -0.0131
  tilt_x: -0.0260
  tilt_y: 0.0224
  scale: 2.9856
  rotation: -0.2034

Best score: 8.4339: : 299iter [00:29, 12.01iter/s]
Best score: 8.4339: : 300iter [00:29, 12.01iter/s]
Best score: 8.4339: : 301iter [00:29,  7.75iter/s]
Best score: 8.4339: : 301iter [00:29,  7.75iter/s]
Best score: 8.4339: : 302iter [00:29,  7.75iter/s]
Best score: 8.4339: : 303iter [00:29,  8.71iter/s]
Best score: 8.4339: : 303iter [00:29,  8.71iter/s]
Best score: 8.4339: : 304iter [00:30,  8.71iter/s]
Best score: 8.4339: : 305iter [00:30,  9.52iter/s]
Best score: 8.4339: : 305iter [00:30,  9.52iter/s]
Best score: 8.4339: : 306iter [00:30,  9.52iter/s]
Best score: 8.4339: : 307iter [00:30, 10.20iter/s]
Best score: 8.4339: : 307iter [00:30, 10.20iter/s]
Best score: 8.4339: : 308iter [00:30, 10.20iter/s]
Best score: 8.4339: : 309iter [00:30, 10.67iter/s]
Best score: 8.4339: : 309iter [00:30, 10.67iter/s]
Best score: 8.4339: : 310iter [00:30, 10.67iter/s]
Best score: 8.4339: : 311iter [00:30, 10.93iter/s]
Best score: 8.4339: : 311iter [00:30, 10.93iter/s]
Best score: 8.4339: : 312iter [00:30, 10.93iter/s]
Best score: 8.4339: : 313iter [00:30, 11.29iter/s]
Best score: 8.4339: : 313iter [00:30, 11.29iter/s]
Best score: 8.4339: : 314iter [00:30, 11.29iter/s]
Best score: 8.4339: : 315iter [00:30, 11.58iter/s]
Best score: 8.4339: : 315iter [00:30, 11.58iter/s]
Best score: 8.4339: : 316iter [00:31, 11.58iter/s]
Best score: 8.4339: : 317iter [00:31, 11.74iter/s]
Best score: 8.4339: : 317iter [00:31, 11.74iter/s]
Best score: 8.4339: : 318iter [00:31, 11.74iter/s]
Best score: 8.4339: : 319iter [00:31, 11.89iter/s]
Best score: 8.4339: : 319iter [00:31, 11.89iter/s]
Best score: 8.4339: : 320iter [00:31, 11.89iter/s]
Best score: 8.4339: : 321iter [00:31, 11.79iter/s]
Best score: 8.4339: : 321iter [00:31, 11.79iter/s]
Best score: 8.4339: : 322iter [00:31, 11.79iter/s]
Best score: 8.4339: : 323iter [00:31, 11.89iter/s]
Best score: 8.4339: : 323iter [00:31, 11.89iter/s]
Best score: 8.4339: : 324iter [00:31, 11.89iter/s]
Best score: 8.4339: : 325iter [00:31, 11.94iter/s]
Best score: 8.4339: : 325iter [00:31, 11.94iter/s]
Best score: 8.4339: : 326iter [00:31, 11.94iter/s]
Best score: 8.4339: : 327iter [00:31, 11.99iter/s]
Best score: 8.4339: : 327iter [00:31, 11.99iter/s]
Best score: 8.4339: : 328iter [00:31, 11.99iter/s]
Best score: 8.4339: : 329iter [00:32, 12.01iter/s]
Best score: 8.4339: : 329iter [00:32, 12.01iter/s]
Best score: 8.4339: : 330iter [00:32, 12.01iter/s]
Best score: 8.4339: : 331iter [00:32, 11.86iter/s]
Best score: 8.4339: : 331iter [00:32, 11.86iter/s]
Best score: 8.4339: : 332iter [00:32, 11.86iter/s]
Best score: 8.4339: : 333iter [00:32, 11.94iter/s]
Best score: 8.4339: : 333iter [00:32, 11.94iter/s]
Best score: 8.4339: : 334iter [00:32, 11.94iter/s]
Best score: 8.4339: : 335iter [00:32, 11.95iter/s]
Best score: 8.4339: : 335iter [00:32, 11.95iter/s]
Best score: 8.4339: : 336iter [00:32, 11.95iter/s]
Best score: 8.4339: : 337iter [00:32, 12.02iter/s]
Best score: 8.4339: : 337iter [00:32, 12.02iter/s]
Best score: 8.4339: : 338iter [00:32, 12.02iter/s]
Best score: 8.4339: : 339iter [00:32, 12.08iter/s]
Best score: 8.4339: : 339iter [00:32, 12.08iter/s]
Best score: 8.4339: : 340iter [00:33, 12.08iter/s]
Best score: 8.4339: : 341iter [00:33, 11.93iter/s]
Best score: 8.4339: : 341iter [00:33, 11.93iter/s]
Best score: 8.4339: : 342iter [00:33, 11.93iter/s]
Best score: 8.4339: : 343iter [00:33, 12.00iter/s]
Best score: 8.4339: : 343iter [00:33, 12.00iter/s]
Best score: 8.4339: : 344iter [00:33, 12.00iter/s]
Best score: 8.4339: : 345iter [00:33, 11.99iter/s]
Best score: 8.4339: : 345iter [00:33, 11.99iter/s]
Best score: 8.4339: : 346iter [00:33, 11.99iter/s]
Best score: 8.4339: : 347iter [00:33, 12.02iter/s]
Best score: 8.4339: : 347iter [00:33, 12.02iter/s]
Best score: 8.4339: : 348iter [00:33, 12.02iter/s]
Best score: 8.4339: : 349iter [00:33, 12.05iter/s]
[ITER 350] Best: 5.6670
[PARAMS] Current best parameters:
  fx: 539.6615
  fy: 539.1307
  px: 1030.6976
  py: 775.3662
  k1: -0.00501345
  k2: -0.03493946
  k3: 0.03562884
  k4: -0.00969603
  p1: 0.01613284
  p2: -0.00013207
  p3: -0.02825906
  p4: 0.00505743
  s1: 0.0305
  s2: -0.0079
  s3: 0.0015
  s4: -0.0015
  tilt_x: -0.0053
  tilt_y: 0.0142
  scale: 3.0400
  rotation: 0.1678

Best score: 5.6670: : 349iter [00:33, 12.05iter/s]
[Periodic outlier @ iter 250] Removing 1000 frame 14 (score=85.15, threshold=50.90)
  Remaining frames: 76

Best score: 5.6670: : 350iter [00:34, 12.05iter/s]
Best score: 5.6670: : 351iter [00:34,  6.72iter/s]
Best score: 5.6670: : 351iter [00:34,  6.72iter/s]
Best score: 5.6670: : 352iter [00:34,  6.72iter/s]
Best score: 5.6670: : 353iter [00:34,  7.75iter/s]
Best score: 5.6670: : 353iter [00:34,  7.75iter/s]
Best score: 5.6670: : 354iter [00:34,  7.75iter/s]
Best score: 5.6670: : 355iter [00:34,  8.67iter/s]
Best score: 5.6670: : 355iter [00:34,  8.67iter/s]
Best score: 5.6670: : 356iter [00:34,  8.67iter/s]
Best score: 5.6670: : 357iter [00:34,  9.47iter/s]
Best score: 5.6670: : 357iter [00:34,  9.47iter/s]
Best score: 5.6670: : 358iter [00:34,  9.47iter/s]
Best score: 5.6670: : 359iter [00:34, 10.14iter/s]
Best score: 4.6132: : 359iter [00:35, 10.14iter/s]
Best score: 4.6132: : 360iter [00:35, 10.14iter/s]
Best score: 4.6132: : 361iter [00:35, 10.52iter/s]
Best score: 4.6132: : 361iter [00:35, 10.52iter/s]
Best score: 4.6132: : 362iter [00:35, 10.52iter/s]
Best score: 4.6132: : 363iter [00:35, 10.97iter/s]
Best score: 4.6132: : 363iter [00:35, 10.97iter/s]
Best score: 4.6132: : 364iter [00:35, 10.97iter/s]
Best score: 4.6132: : 365iter [00:35, 11.28iter/s]
Best score: 4.6132: : 365iter [00:35, 11.28iter/s]
Best score: 4.6132: : 366iter [00:35, 11.28iter/s]
Best score: 4.6132: : 367iter [00:35, 11.52iter/s]
Best score: 4.6132: : 367iter [00:35, 11.52iter/s]
Best score: 4.6132: : 368iter [00:35, 11.52iter/s]
Best score: 4.6132: : 369iter [00:35, 11.70iter/s]
Best score: 4.6132: : 369iter [00:35, 11.70iter/s]
Best score: 4.6132: : 370iter [00:35, 11.70iter/s]
Best score: 4.6132: : 371iter [00:35, 11.64iter/s]
Best score: 4.6132: : 371iter [00:36, 11.64iter/s]
Best score: 4.6132: : 372iter [00:36, 11.64iter/s]
Best score: 4.6132: : 373iter [00:36, 11.77iter/s]
Best score: 4.6132: : 373iter [00:36, 11.77iter/s]
Best score: 4.6132: : 374iter [00:36, 11.77iter/s]
Best score: 4.6132: : 375iter [00:36, 11.89iter/s]
Best score: 4.6132: : 375iter [00:36, 11.89iter/s]
Best score: 4.6132: : 376iter [00:36, 11.89iter/s]
Best score: 4.6132: : 377iter [00:36, 11.93iter/s]
Best score: 4.6132: : 377iter [00:36, 11.93iter/s]
Best score: 4.6132: : 378iter [00:36, 11.93iter/s]
Best score: 4.6132: : 379iter [00:36, 12.02iter/s]
Best score: 4.6132: : 379iter [00:36, 12.02iter/s]
Best score: 4.6132: : 380iter [00:36, 12.02iter/s]
Best score: 4.6132: : 381iter [00:36, 11.83iter/s]
Best score: 4.6132: : 381iter [00:36, 11.83iter/s]
Best score: 4.6132: : 382iter [00:36, 11.83iter/s]
Best score: 4.6132: : 383iter [00:36, 11.95iter/s]
Best score: 4.6132: : 383iter [00:37, 11.95iter/s]
Best score: 4.6132: : 384iter [00:37, 11.95iter/s]
Best score: 4.6132: : 385iter [00:37, 12.03iter/s]
Best score: 4.6132: : 385iter [00:37, 12.03iter/s]
Best score: 4.6132: : 386iter [00:37, 12.03iter/s]
Best score: 4.6132: : 387iter [00:37, 12.02iter/s]
Best score: 4.6132: : 387iter [00:37, 12.02iter/s]
Best score: 4.6132: : 388iter [00:37, 12.02iter/s]
Best score: 4.6132: : 389iter [00:37, 12.01iter/s]
Best score: 4.6132: : 389iter [00:37, 12.01iter/s]
Best score: 4.6132: : 390iter [00:37, 12.01iter/s]
Best score: 4.6132: : 391iter [00:37, 11.86iter/s]
Best score: 4.6132: : 391iter [00:37, 11.86iter/s]
Best score: 4.6132: : 392iter [00:37, 11.86iter/s]
Best score: 4.6132: : 393iter [00:37, 11.97iter/s]
Best score: 4.6132: : 393iter [00:37, 11.97iter/s]
Best score: 4.6132: : 394iter [00:37, 11.97iter/s]
Best score: 4.6132: : 395iter [00:37, 12.00iter/s]
Best score: 4.6132: : 395iter [00:38, 12.00iter/s]
Best score: 4.6132: : 396iter [00:38, 12.00iter/s]
Best score: 4.6132: : 397iter [00:38, 12.01iter/s]
Best score: 4.6132: : 397iter [00:38, 12.01iter/s]
Best score: 4.6132: : 398iter [00:38, 12.01iter/s]
Best score: 4.6132: : 399iter [00:38, 12.05iter/s]
[ITER 400] Best: 4.6132
[PARAMS] Current best parameters:
  fx: 539.6615
  fy: 539.1307
  px: 1030.6976
  py: 775.3662
  k1: -0.00501345
  k2: -0.03493946
  k3: 0.03562884
  k4: -0.00969603
  p1: 0.01613284
  p2: -0.00013207
  p3: -0.02825906
  p4: 0.00505743
  s1: 0.0305
  s2: -0.0079
  s3: 0.0015
  s4: -0.0015
  tilt_x: -0.0053
  tilt_y: 0.0142
  scale: 3.0400
  rotation: 0.1678

Best score: 4.6132: : 399iter [00:38, 12.05iter/s]
Best score: 4.6132: : 400iter [00:38, 12.05iter/s]
Best score: 4.6132: : 401iter [00:38,  7.76iter/s]
Best score: 4.6132: : 401iter [00:38,  7.76iter/s]
Best score: 4.6132: : 402iter [00:38,  7.76iter/s]
Best score: 4.6132: : 403iter [00:38,  8.67iter/s]
Best score: 4.6132: : 403iter [00:38,  8.67iter/s]
Best score: 4.6132: : 404iter [00:39,  8.67iter/s]
Best score: 4.6132: : 405iter [00:39,  9.48iter/s]
Best score: 4.6132: : 405iter [00:39,  9.48iter/s]
Best score: 4.6132: : 406iter [00:39,  9.48iter/s]
Best score: 4.6132: : 407iter [00:39, 10.17iter/s]
Best score: 4.6132: : 407iter [00:39, 10.17iter/s]
Best score: 4.6132: : 408iter [00:39, 10.17iter/s]
Best score: 4.6132: : 409iter [00:39, 10.69iter/s]
Best score: 4.6132: : 409iter [00:39, 10.69iter/s]
Best score: 4.6132: : 410iter [00:39, 10.69iter/s]
Best score: 4.6132: : 411iter [00:39, 10.92iter/s]
Best score: 4.6132: : 411iter [00:39, 10.92iter/s]
Best score: 4.6132: : 412iter [00:39, 10.92iter/s]
Best score: 4.6132: : 413iter [00:39, 11.31iter/s]
Best score: 4.6132: : 413iter [00:39, 11.31iter/s]
Best score: 4.6132: : 414iter [00:39, 11.31iter/s]
Best score: 4.6132: : 415iter [00:39, 11.54iter/s]
Best score: 4.6132: : 415iter [00:39, 11.54iter/s]
Best score: 4.6132: : 416iter [00:40, 11.54iter/s]
Best score: 4.6132: : 417iter [00:40, 11.79iter/s]
Best score: 4.6132: : 417iter [00:40, 11.79iter/s]
Best score: 4.6132: : 418iter [00:40, 11.79iter/s]
Best score: 4.6132: : 419iter [00:40, 11.94iter/s]
Best score: 4.6132: : 419iter [00:40, 11.94iter/s]
Best score: 4.6132: : 420iter [00:40, 11.94iter/s]
Best score: 4.6132: : 421iter [00:40, 11.86iter/s]
Best score: 4.6132: : 421iter [00:40, 11.86iter/s]
Best score: 4.6132: : 422iter [00:40, 11.86iter/s]
Best score: 4.6132: : 423iter [00:40, 12.01iter/s]
Best score: 4.6132: : 423iter [00:40, 12.01iter/s]
Best score: 4.6132: : 424iter [00:40, 12.01iter/s]
Best score: 4.6132: : 425iter [00:40, 12.12iter/s]
Best score: 4.6132: : 425iter [00:40, 12.12iter/s]
Best score: 4.6132: : 426iter [00:40, 12.12iter/s]
Best score: 4.6132: : 427iter [00:40, 12.13iter/s]
Best score: 4.6132: : 427iter [00:40, 12.13iter/s]
Best score: 4.6132: : 428iter [00:41, 12.13iter/s]
Best score: 4.6132: : 429iter [00:41, 12.16iter/s]
Best score: 4.6132: : 429iter [00:41, 12.16iter/s]
Best score: 4.6132: : 430iter [00:41, 12.16iter/s]
Best score: 4.6132: : 431iter [00:41, 12.01iter/s]
Best score: 4.6132: : 431iter [00:41, 12.01iter/s]
Best score: 4.6132: : 432iter [00:41, 12.01iter/s]
Best score: 4.6132: : 433iter [00:41, 12.10iter/s]
Best score: 4.6132: : 433iter [00:41, 12.10iter/s]
Best score: 4.6132: : 434iter [00:41, 12.10iter/s]
Best score: 4.6132: : 435iter [00:41, 12.20iter/s]
Best score: 4.6132: : 435iter [00:41, 12.20iter/s]
Best score: 4.6132: : 436iter [00:41, 12.20iter/s]
Best score: 4.6132: : 437iter [00:41, 12.26iter/s]
Best score: 4.6132: : 437iter [00:41, 12.26iter/s]
Best score: 4.6132: : 438iter [00:41, 12.26iter/s]
Best score: 4.6132: : 439iter [00:41, 12.32iter/s]
Best score: 4.6132: : 439iter [00:41, 12.32iter/s]
Best score: 4.6132: : 440iter [00:42, 12.32iter/s]
Best score: 4.6132: : 441iter [00:42, 12.18iter/s]
Best score: 4.6132: : 441iter [00:42, 12.18iter/s]
Best score: 4.6132: : 442iter [00:42, 12.18iter/s]
Best score: 4.6132: : 443iter [00:42, 12.24iter/s]
Best score: 4.6132: : 443iter [00:42, 12.24iter/s]
Best score: 4.6132: : 444iter [00:42, 12.24iter/s]
Best score: 4.6132: : 445iter [00:42, 12.24iter/s]
Best score: 4.6132: : 445iter [00:42, 12.24iter/s]
Best score: 4.6132: : 446iter [00:42, 12.24iter/s]
Best score: 4.6132: : 447iter [00:42, 12.26iter/s]
Best score: 4.6132: : 447iter [00:42, 12.26iter/s]
Best score: 4.6132: : 448iter [00:42, 12.26iter/s]
Best score: 4.6132: : 449iter [00:42, 12.26iter/s]
[ITER 450] Best: 4.6132
[PARAMS] Current best parameters:
  fx: 539.6615
  fy: 539.1307
  px: 1030.6976
  py: 775.3662
  k1: -0.00501345
  k2: -0.03493946
  k3: 0.03562884
  k4: -0.00969603
  p1: 0.01613284
  p2: -0.00013207
  p3: -0.02825906
  p4: 0.00505743
  s1: 0.0305
  s2: -0.0079
  s3: 0.0015
  s4: -0.0015
  tilt_x: -0.0053
  tilt_y: 0.0142
  scale: 3.0400
  rotation: 0.1678

Best score: 4.6132: : 449iter [00:42, 12.26iter/s]
Best score: 4.6132: : 450iter [00:43, 12.26iter/s]
Best score: 4.6132: : 451iter [00:43,  7.83iter/s]
Best score: 4.6132: : 451iter [00:43,  7.83iter/s]
Best score: 4.6132: : 452iter [00:43,  7.83iter/s]
Best score: 4.6132: : 453iter [00:43,  8.80iter/s]
Best score: 4.6132: : 453iter [00:43,  8.80iter/s]
Best score: 4.6132: : 454iter [00:43,  8.80iter/s]
Best score: 4.6132: : 455iter [00:43,  9.64iter/s]
Best score: 4.6132: : 455iter [00:43,  9.64iter/s]
Best score: 4.6132: : 456iter [00:43,  9.64iter/s]
Best score: 4.6132: : 457iter [00:43, 10.35iter/s]
Best score: 4.6132: : 457iter [00:43, 10.35iter/s]
Best score: 4.6132: : 458iter [00:43, 10.35iter/s]
Best score: 4.6132: : 459iter [00:43, 10.91iter/s]
Best score: 4.6132: : 459iter [00:43, 10.91iter/s]
Best score: 4.6132: : 460iter [00:43, 10.91iter/s]
Best score: 4.6132: : 461iter [00:43, 11.12iter/s]
Best score: 4.6132: : 461iter [00:44, 11.12iter/s]
Best score: 4.6132: : 462iter [00:44, 11.12iter/s]
Best score: 4.6132: : 463iter [00:44, 11.45iter/s]
Best score: 4.6132: : 463iter [00:44, 11.45iter/s]
Best score: 4.6132: : 464iter [00:44, 11.45iter/s]
Best score: 4.6132: : 465iter [00:44, 11.74iter/s]
Best score: 4.6132: : 465iter [00:44, 11.74iter/s]
Best score: 4.6132: : 466iter [00:44, 11.74iter/s]
Best score: 4.6132: : 467iter [00:44, 11.96iter/s]
Best score: 4.6132: : 467iter [00:44, 11.96iter/s]
Best score: 4.6132: : 468iter [00:44, 11.96iter/s]
Best score: 4.6132: : 469iter [00:44, 12.13iter/s]
Best score: 4.5547: : 469iter [00:44, 12.13iter/s]
Best score: 4.5547: : 470iter [00:44, 12.13iter/s]
Best score: 4.5547: : 471iter [00:44, 12.04iter/s]
Best score: 4.5547: : 471iter [00:44, 12.04iter/s]
Best score: 4.5547: : 472iter [00:44, 12.04iter/s]
Best score: 4.5547: : 473iter [00:44, 12.16iter/s]
Best score: 4.5547: : 473iter [00:45, 12.16iter/s]
Best score: 4.5547: : 474iter [00:45, 12.16iter/s]
Best score: 4.5547: : 475iter [00:45, 12.19iter/s]
Best score: 4.5547: : 475iter [00:45, 12.19iter/s]
Best score: 4.5547: : 476iter [00:45, 12.19iter/s]
Best score: 4.5547: : 477iter [00:45, 12.27iter/s]
Best score: 4.5547: : 477iter [00:45, 12.27iter/s]
Best score: 4.5547: : 478iter [00:45, 12.27iter/s]
Best score: 4.5547: : 479iter [00:45, 12.34iter/s]
Best score: 4.5547: : 479iter [00:45, 12.34iter/s]
Best score: 4.5547: : 480iter [00:45, 12.34iter/s]
Best score: 4.5547: : 481iter [00:45, 12.17iter/s]
Best score: 4.5547: : 481iter [00:45, 12.17iter/s]
Best score: 4.5547: : 482iter [00:45, 12.17iter/s]
Best score: 4.5547: : 483iter [00:45, 12.27iter/s]
Best score: 4.5547: : 483iter [00:45, 12.27iter/s]
Best score: 4.5547: : 484iter [00:45, 12.27iter/s]
Best score: 4.5547: : 485iter [00:45, 12.35iter/s]
Best score: 4.5547: : 485iter [00:45, 12.35iter/s]
Best score: 4.5547: : 486iter [00:46, 12.35iter/s]
Best score: 4.5547: : 487iter [00:46, 12.36iter/s]
Best score: 4.5547: : 487iter [00:46, 12.36iter/s]
Best score: 4.5547: : 488iter [00:46, 12.36iter/s]
Best score: 4.5547: : 489iter [00:46, 12.39iter/s]
Best score: 3.8772: : 489iter [00:46, 12.39iter/s]
Best score: 3.8772: : 490iter [00:46, 12.39iter/s]
Best score: 3.8772: : 491iter [00:46, 12.20iter/s]
Best score: 3.8772: : 491iter [00:46, 12.20iter/s]
Best score: 3.8772: : 492iter [00:46, 12.20iter/s]
Best score: 3.8772: : 493iter [00:46, 12.28iter/s]
Best score: 3.8772: : 493iter [00:46, 12.28iter/s]
Best score: 3.8772: : 494iter [00:46, 12.28iter/s]
Best score: 3.8772: : 495iter [00:46, 12.34iter/s]
Best score: 3.8772: : 495iter [00:46, 12.34iter/s]
Best score: 3.8772: : 496iter [00:46, 12.34iter/s]
Best score: 3.8772: : 497iter [00:46, 12.37iter/s]
Best score: 3.8772: : 497iter [00:46, 12.37iter/s]
Best score: 3.8772: : 498iter [00:47, 12.37iter/s]
Best score: 3.8772: : 499iter [00:47, 12.39iter/s]
[ITER 500] Best: 3.8772
[PARAMS] Current best parameters:
  fx: 537.0307
  fy: 536.8583
  px: 1033.4404
  py: 774.9172
  k1: 0.04318394
  k2: -0.07552440
  k3: 0.03491828
  k4: -0.00370832
  p1: 0.01004584
  p2: 0.01606441
  p3: -0.01074861
  p4: -0.00476584
  s1: 0.0235
  s2: -0.0141
  s3: 0.0298
  s4: 0.0017
  tilt_x: -0.0262
  tilt_y: 0.0360
  scale: 2.9762
  rotation: -0.1244

Best score: 3.8772: : 499iter [00:47, 12.39iter/s]
Best score: 3.8772: : 500iter [00:47, 12.39iter/s]
Best score: 3.8772: : 501iter [00:47,  7.84iter/s]
Best score: 3.8772: : 501iter [00:47,  7.84iter/s]
Best score: 3.8772: : 502iter [00:47,  7.84iter/s]
Best score: 3.8772: : 503iter [00:47,  8.83iter/s]
Best score: 3.8772: : 503iter [00:47,  8.83iter/s]
Best score: 3.8772: : 504iter [00:47,  8.83iter/s]
Best score: 3.8772: : 505iter [00:47,  9.67iter/s]
Best score: 3.8772: : 505iter [00:47,  9.67iter/s]
Best score: 3.8772: : 506iter [00:48,  9.67iter/s]
Best score: 3.8772: : 507iter [00:48, 10.38iter/s]
Best score: 3.8772: : 507iter [00:48, 10.38iter/s]
Best score: 3.8772: : 508iter [00:48, 10.38iter/s]
Best score: 3.8772: : 509iter [00:48, 10.92iter/s]
Best score: 2.0250: : 509iter [00:48, 10.92iter/s]
Best score: 2.0250: : 510iter [00:48, 10.92iter/s]
Best score: 2.0250: : 511iter [00:48, 11.15iter/s]
Best score: 2.0250: : 511iter [00:48, 11.15iter/s]
Best score: 2.0250: : 512iter [00:48, 11.15iter/s]
Best score: 2.0250: : 513iter [00:48, 11.50iter/s]
Best score: 2.0250: : 513iter [00:48, 11.50iter/s]
Best score: 2.0250: : 514iter [00:48, 11.50iter/s]
Best score: 2.0250: : 515iter [00:48, 11.78iter/s]
Best score: 2.0250: : 515iter [00:48, 11.78iter/s]
Best score: 2.0250: : 516iter [00:48, 11.78iter/s]
Best score: 2.0250: : 517iter [00:48, 11.99iter/s]
Best score: 2.0250: : 517iter [00:48, 11.99iter/s]
Best score: 2.0250: : 518iter [00:48, 11.99iter/s]
Best score: 2.0250: : 519iter [00:48, 12.08iter/s]
Best score: 2.0250: : 519iter [00:49, 12.08iter/s]
Best score: 2.0250: : 520iter [00:49, 12.08iter/s]
Best score: 2.0250: : 521iter [00:49, 11.98iter/s]
Best score: 2.0250: : 521iter [00:49, 11.98iter/s]
Best score: 2.0250: : 522iter [00:49, 11.98iter/s]
Best score: 2.0250: : 523iter [00:49, 12.10iter/s]
Best score: 2.0250: : 523iter [00:49, 12.10iter/s]
Best score: 2.0250: : 524iter [00:49, 12.10iter/s]
Best score: 2.0250: : 525iter [00:49, 12.21iter/s]
Best score: 2.0250: : 525iter [00:49, 12.21iter/s]
Best score: 2.0250: : 526iter [00:49, 12.21iter/s]
Best score: 2.0250: : 527iter [00:49, 12.26iter/s]
Best score: 2.0250: : 527iter [00:49, 12.26iter/s]
Best score: 2.0250: : 528iter [00:49, 12.26iter/s]
Best score: 2.0250: : 529iter [00:49, 12.27iter/s]
Best score: 1.6316: : 529iter [00:49, 12.27iter/s]
Best score: 1.6316: : 530iter [00:49, 12.27iter/s]
Best score: 1.6316: : 531iter [00:49, 12.11iter/s]
Best score: 1.6316: : 531iter [00:50, 12.11iter/s]
Best score: 1.6316: : 532iter [00:50, 12.11iter/s]
Best score: 1.6316: : 533iter [00:50, 12.18iter/s]
Best score: 1.6316: : 533iter [00:50, 12.18iter/s]
Best score: 1.6316: : 534iter [00:50, 12.18iter/s]
Best score: 1.6316: : 535iter [00:50, 12.24iter/s]
Best score: 1.6316: : 535iter [00:50, 12.24iter/s]
Best score: 1.6316: : 536iter [00:50, 12.24iter/s]
Best score: 1.6316: : 537iter [00:50, 12.31iter/s]
Best score: 1.6316: : 537iter [00:50, 12.31iter/s]
Best score: 1.6316: : 538iter [00:50, 12.31iter/s]
Best score: 1.6316: : 539iter [00:50, 12.27iter/s]
Best score: 1.6316: : 539iter [00:50, 12.27iter/s]
Best score: 1.6316: : 540iter [00:50, 12.27iter/s]
Best score: 1.6316: : 541iter [00:50, 12.12iter/s]
Best score: 1.6316: : 541iter [00:50, 12.12iter/s]
Best score: 1.6316: : 542iter [00:50, 12.12iter/s]
Best score: 1.6316: : 543iter [00:50, 12.22iter/s]
Best score: 1.6316: : 543iter [00:51, 12.22iter/s]
Best score: 1.6316: : 544iter [00:51, 12.22iter/s]
Best score: 1.6316: : 545iter [00:51, 12.28iter/s]
Best score: 1.6316: : 545iter [00:51, 12.28iter/s]
Best score: 1.6316: : 546iter [00:51, 12.28iter/s]
Best score: 1.6316: : 547iter [00:51, 12.32iter/s]
Best score: 1.6316: : 547iter [00:51, 12.32iter/s]
Best score: 1.6316: : 548iter [00:51, 12.32iter/s]
Best score: 1.6316: : 549iter [00:51, 12.36iter/s]
[ITER 550] Best: 1.6066
[PARAMS] Current best parameters:
  fx: 552.1565
  fy: 552.0265
  px: 1028.7769
  py: 778.8719
  k1: 0.02331341
  k2: -0.05669913
  k3: 0.02296268
  k4: -0.00188195
  p1: 0.01721100
  p2: 0.01168236
  p3: -0.01490573
  p4: 0.00506422
  s1: -0.0065
  s2: -0.0040
  s3: -0.0035
  s4: 0.0037
  tilt_x: -0.0008
  tilt_y: 0.0307
  scale: 2.9458
  rotation: -0.2007

Best score: 1.6066: : 549iter [00:51, 12.36iter/s]
Best score: 1.6066: : 550iter [00:51, 12.36iter/s]
Best score: 1.6066: : 551iter [00:51,  7.90iter/s]
Best score: 1.6066: : 551iter [00:51,  7.90iter/s]
Best score: 1.6066: : 552iter [00:52,  7.90iter/s]
Best score: 1.6066: : 553iter [00:52,  8.88iter/s]
Best score: 1.6066: : 553iter [00:52,  8.88iter/s]
Best score: 1.6066: : 554iter [00:52,  8.88iter/s]
Best score: 1.6066: : 555iter [00:52,  9.74iter/s]
Best score: 1.6066: : 555iter [00:52,  9.74iter/s]
Best score: 1.6066: : 556iter [00:52,  9.74iter/s]
Best score: 1.6066: : 557iter [00:52, 10.43iter/s]
Best score: 1.6066: : 557iter [00:52, 10.43iter/s]
Best score: 1.6066: : 558iter [00:52, 10.43iter/s]
Best score: 1.6066: : 559iter [00:52, 10.98iter/s]
Best score: 1.2926: : 559iter [00:52, 10.98iter/s]
Best score: 1.2926: : 560iter [00:52, 10.98iter/s]
Best score: 1.2926: : 561iter [00:52, 11.18iter/s]
Best score: 1.2926: : 561iter [00:52, 11.18iter/s]
Best score: 1.2926: : 562iter [00:52, 11.18iter/s]
Best score: 1.2926: : 563iter [00:52, 11.50iter/s]
Best score: 1.2926: : 563iter [00:52, 11.50iter/s]
Best score: 1.2926: : 564iter [00:53, 11.50iter/s]
Best score: 1.2926: : 565iter [00:53, 11.78iter/s]
Best score: 1.2926: : 565iter [00:53, 11.78iter/s]
Best score: 1.2926: : 566iter [00:53, 11.78iter/s]
Best score: 1.2926: : 567iter [00:53, 11.99iter/s]
Best score: 1.2926: : 567iter [00:53, 11.99iter/s]
Best score: 1.2926: : 568iter [00:53, 11.99iter/s]
Best score: 1.2926: : 569iter [00:53, 12.11iter/s]
Best score: 1.2313: : 569iter [00:53, 12.11iter/s]
Best score: 1.2313: : 570iter [00:53, 12.11iter/s]
Best score: 1.2313: : 571iter [00:53, 12.01iter/s]
Best score: 1.2313: : 571iter [00:53, 12.01iter/s]
Best score: 1.2313: : 572iter [00:53, 12.01iter/s]
Best score: 1.2313: : 573iter [00:53, 12.14iter/s]
Best score: 1.2313: : 573iter [00:53, 12.14iter/s]
Best score: 1.2313: : 574iter [00:53, 12.14iter/s]
Best score: 1.2313: : 575iter [00:53, 12.25iter/s]
Best score: 1.2313: : 575iter [00:53, 12.25iter/s]
Best score: 1.2313: : 576iter [00:53, 12.25iter/s]
Best score: 1.2313: : 577iter [00:53, 12.27iter/s]
Best score: 1.2313: : 577iter [00:54, 12.27iter/s]
Best score: 1.2313: : 578iter [00:54, 12.27iter/s]
Best score: 1.2313: : 579iter [00:54, 12.29iter/s]
Best score: 0.9452: : 579iter [00:54, 12.29iter/s]
Best score: 0.9452: : 580iter [00:54, 12.29iter/s]
Best score: 0.9452: : 581iter [00:54, 12.15iter/s]
Best score: 0.9452: : 581iter [00:54, 12.15iter/s]
Best score: 0.9452: : 582iter [00:54, 12.15iter/s]
Best score: 0.9452: : 583iter [00:54, 12.23iter/s]
Best score: 0.9452: : 583iter [00:54, 12.23iter/s]
Best score: 0.9452: : 584iter [00:54, 12.23iter/s]
Best score: 0.9452: : 585iter [00:54, 12.30iter/s]
Best score: 0.9452: : 585iter [00:54, 12.30iter/s]
Best score: 0.9452: : 586iter [00:54, 12.30iter/s]
Best score: 0.9452: : 587iter [00:54, 12.32iter/s]
Best score: 0.9452: : 587iter [00:54, 12.32iter/s]
Best score: 0.9452: : 588iter [00:54, 12.32iter/s]
Best score: 0.9452: : 589iter [00:54, 12.28iter/s]
Best score: 0.9452: : 589iter [00:55, 12.28iter/s]
Best score: 0.9452: : 590iter [00:55, 12.28iter/s]
Best score: 0.9452: : 591iter [00:55, 12.11iter/s]
Best score: 0.9452: : 591iter [00:55, 12.11iter/s]
Best score: 0.9452: : 592iter [00:55, 12.11iter/s]
Best score: 0.9452: : 593iter [00:55, 12.19iter/s]
Best score: 0.9452: : 593iter [00:55, 12.19iter/s]
Best score: 0.9452: : 594iter [00:55, 12.19iter/s]
Best score: 0.9452: : 595iter [00:55, 12.27iter/s]
Best score: 0.9452: : 595iter [00:55, 12.27iter/s]
Best score: 0.9452: : 596iter [00:55, 12.27iter/s]
Best score: 0.9452: : 597iter [00:55, 12.29iter/s]
Best score: 0.9452: : 597iter [00:55, 12.29iter/s]
Best score: 0.9452: : 598iter [00:55, 12.29iter/s]
Best score: 0.9452: : 599iter [00:55, 12.34iter/s]
[ITER 600] Best: 0.9452
[PARAMS] Current best parameters:
  fx: 545.9139
  fy: 544.5669
  px: 1027.3123
  py: 783.4631
  k1: 0.00805877
  k2: -0.03885838
  k3: 0.02963811
  k4: -0.00834984
  p1: 0.01880079
  p2: 0.00440362
  p3: -0.01486311
  p4: 0.00687471
  s1: 0.0158
  s2: -0.0138
  s3: 0.0174
  s4: -0.0057
  tilt_x: 0.0084
  tilt_y: 0.0338
  scale: 2.9725
  rotation: -0.3157

Best score: 0.9452: : 599iter [00:55, 12.34iter/s]
Best score: 0.9452: : 600iter [00:56, 12.34iter/s]
Best score: 0.9452: : 601iter [00:56,  7.86iter/s]
Best score: 0.9452: : 601iter [00:56,  7.86iter/s]
Best score: 0.9452: : 602iter [00:56,  7.86iter/s]
Best score: 0.9452: : 603iter [00:56,  8.81iter/s]
Best score: 0.9452: : 603iter [00:56,  8.81iter/s]
Best score: 0.9452: : 604iter [00:56,  8.81iter/s]
Best score: 0.9452: : 605iter [00:56,  9.63iter/s]
Best score: 0.9452: : 605iter [00:56,  9.63iter/s]
Best score: 0.9452: : 606iter [00:56,  9.63iter/s]
Best score: 0.9452: : 607iter [00:56, 10.33iter/s]
Best score: 0.9452: : 607iter [00:56, 10.33iter/s]
Best score: 0.9452: : 608iter [00:56, 10.33iter/s]
Best score: 0.9452: : 609iter [00:56, 10.90iter/s]
Best score: 0.8913: : 609iter [00:56, 10.90iter/s]
Best score: 0.8913: : 610iter [00:57, 10.90iter/s]
Best score: 0.8913: : 611iter [00:57,  8.96iter/s]
Best score: 0.8913: : 611iter [00:57,  8.96iter/s]
Best score: 0.8913: : 612iter [00:57,  8.96iter/s]
Best score: 0.8913: : 613iter [00:57,  9.78iter/s]
Best score: 0.8913: : 613iter [00:57,  9.78iter/s]
Best score: 0.8913: : 614iter [00:57,  9.78iter/s]
Best score: 0.8913: : 615iter [00:57, 10.47iter/s]
Best score: 0.8913: : 615iter [00:57, 10.47iter/s]
Best score: 0.8913: : 616iter [00:57, 10.47iter/s]
Best score: 0.8913: : 617iter [00:57, 11.00iter/s]
Best score: 0.8913: : 617iter [00:57, 11.00iter/s]
Best score: 0.8913: : 618iter [00:57, 11.00iter/s]
Best score: 0.8913: : 619iter [00:57, 11.38iter/s]
Best score: 0.6632: : 619iter [00:57, 11.38iter/s]
Best score: 0.6632: : 620iter [00:58, 11.38iter/s]
Best score: 0.6632: : 621iter [00:58, 11.51iter/s]
Best score: 0.6632: : 621iter [00:58, 11.51iter/s]
Best score: 0.6632: : 622iter [00:58, 11.51iter/s]
Best score: 0.6632: : 623iter [00:58, 11.79iter/s]
Best score: 0.6632: : 623iter [00:58, 11.79iter/s]
Best score: 0.6632: : 624iter [00:58, 11.79iter/s]
Best score: 0.6632: : 625iter [00:58, 11.97iter/s]
Best score: 0.6632: : 625iter [00:58, 11.97iter/s]
Best score: 0.6632: : 626iter [00:58, 11.97iter/s]
Best score: 0.6632: : 627iter [00:58, 12.12iter/s]
Best score: 0.6632: : 627iter [00:58, 12.12iter/s]
Best score: 0.6632: : 628iter [00:58, 12.12iter/s]
Best score: 0.6632: : 629iter [00:58, 12.22iter/s]
Best score: 0.6632: : 629iter [00:58, 12.22iter/s]
Best score: 0.6632: : 630iter [00:58, 12.22iter/s]
Best score: 0.6632: : 631iter [00:58, 12.09iter/s]
Best score: 0.6632: : 631iter [00:58, 12.09iter/s]
Best score: 0.6632: : 632iter [00:59, 12.09iter/s]
Best score: 0.6632: : 633iter [00:59, 12.15iter/s]
Best score: 0.6632: : 633iter [00:59, 12.15iter/s]
Best score: 0.6632: : 634iter [00:59, 12.15iter/s]
Best score: 0.6632: : 635iter [00:59, 12.25iter/s]
Best score: 0.6632: : 635iter [00:59, 12.25iter/s]
Best score: 0.6632: : 636iter [00:59, 12.25iter/s]
Best score: 0.6632: : 637iter [00:59, 12.29iter/s]
Best score: 0.6632: : 637iter [00:59, 12.29iter/s]
Best score: 0.6632: : 638iter [00:59, 12.29iter/s]
Best score: 0.6632: : 639iter [00:59, 12.34iter/s]
Best score: 0.6426: : 639iter [00:59, 12.34iter/s]
Best score: 0.6426: : 640iter [00:59, 12.34iter/s]
Best score: 0.6426: : 641iter [00:59, 12.12iter/s]
Best score: 0.6426: : 641iter [00:59, 12.12iter/s]
Best score: 0.6426: : 642iter [00:59, 12.12iter/s]
Best score: 0.6426: : 643iter [00:59, 12.17iter/s]
Best score: 0.6426: : 643iter [00:59, 12.17iter/s]
Best score: 0.6426: : 644iter [00:59, 12.17iter/s]
Best score: 0.6426: : 645iter [00:59, 12.26iter/s]
Best score: 0.6426: : 645iter [01:00, 12.26iter/s]
Best score: 0.6426: : 646iter [01:00, 12.26iter/s]
Best score: 0.6426: : 647iter [01:00, 12.33iter/s]
Best score: 0.6426: : 647iter [01:00, 12.33iter/s]
Best score: 0.6426: : 648iter [01:00, 12.33iter/s]
Best score: 0.6426: : 649iter [01:00, 12.28iter/s]
[ITER 650] Best: 0.6262
[PARAMS] Current best parameters:
  fx: 554.1660
  fy: 554.4115
  px: 1030.3212
  py: 776.8361
  k1: 0.00035702
  k2: -0.04619761
  k3: 0.03624427
  k4: -0.00967073
  p1: 0.01645054
  p2: 0.01194528
  p3: -0.02112625
  p4: 0.00381951
  s1: 0.0085
  s2: -0.0079
  s3: 0.0152
  s4: -0.0040
  tilt_x: -0.0148
  tilt_y: 0.0287
  scale: 2.9720
  rotation: -0.2745

Best score: 0.6262: : 649iter [01:00, 12.28iter/s]
Best score: 0.6262: : 650iter [01:00, 12.28iter/s]
Best score: 0.6262: : 651iter [01:00,  7.85iter/s]
Best score: 0.6262: : 651iter [01:00,  7.85iter/s]
Best score: 0.6262: : 652iter [01:00,  7.85iter/s]
Best score: 0.6262: : 653iter [01:00,  8.84iter/s]
Best score: 0.6262: : 653iter [01:01,  8.84iter/s]
Best score: 0.6262: : 654iter [01:01,  8.84iter/s]
Best score: 0.6262: : 655iter [01:01,  9.69iter/s]
Best score: 0.6262: : 655iter [01:01,  9.69iter/s]
Best score: 0.6262: : 656iter [01:01,  9.69iter/s]
Best score: 0.6262: : 657iter [01:01, 10.38iter/s]
Best score: 0.6262: : 657iter [01:01, 10.38iter/s]
Best score: 0.6262: : 658iter [01:01, 10.38iter/s]
Best score: 0.6262: : 659iter [01:01, 10.93iter/s]
Best score: 0.5839: : 659iter [01:01, 10.93iter/s]
Best score: 0.5839: : 660iter [01:01, 10.93iter/s]
Best score: 0.5839: : 661iter [01:01, 11.18iter/s]
Best score: 0.5839: : 661iter [01:01, 11.18iter/s]
Best score: 0.5839: : 662iter [01:01, 11.18iter/s]
Best score: 0.5839: : 663iter [01:01, 11.54iter/s]
Best score: 0.5839: : 663iter [01:01, 11.54iter/s]
Best score: 0.5839: : 664iter [01:01, 11.54iter/s]
Best score: 0.5839: : 665iter [01:01, 11.81iter/s]
Best score: 0.5839: : 665iter [01:01, 11.81iter/s]
Best score: 0.5839: : 666iter [01:02, 11.81iter/s]
Best score: 0.5839: : 667iter [01:02, 12.00iter/s]
Best score: 0.5839: : 667iter [01:02, 12.00iter/s]
Best score: 0.5839: : 668iter [01:02, 12.00iter/s]
Best score: 0.5839: : 669iter [01:02, 12.15iter/s]
Best score: 0.5425: : 669iter [01:02, 12.15iter/s]
Best score: 0.5425: : 670iter [01:02, 12.15iter/s]
Best score: 0.5425: : 671iter [01:02, 12.05iter/s]
Best score: 0.5425: : 671iter [01:02, 12.05iter/s]
Best score: 0.5425: : 672iter [01:02, 12.05iter/s]
Best score: 0.5425: : 673iter [01:02, 12.20iter/s]
Best score: 0.5425: : 673iter [01:02, 12.20iter/s]
Best score: 0.5425: : 674iter [01:02, 12.20iter/s]
Best score: 0.5425: : 675iter [01:02, 12.27iter/s]
Best score: 0.5425: : 675iter [01:02, 12.27iter/s]
Best score: 0.5425: : 676iter [01:02, 12.27iter/s]
Best score: 0.5425: : 677iter [01:02, 12.36iter/s]
Best score: 0.5425: : 677iter [01:02, 12.36iter/s]
Best score: 0.5425: : 678iter [01:03, 12.36iter/s]
Best score: 0.5425: : 679iter [01:03, 12.39iter/s]
Best score: 0.5390: : 679iter [01:03, 12.39iter/s]
Best score: 0.5390: : 680iter [01:03, 12.39iter/s]
Best score: 0.5390: : 681iter [01:03, 12.19iter/s]
Best score: 0.5390: : 681iter [01:03, 12.19iter/s]
Best score: 0.5390: : 682iter [01:03, 12.19iter/s]
Best score: 0.5390: : 683iter [01:03, 12.28iter/s]
Best score: 0.5390: : 683iter [01:03, 12.28iter/s]
Best score: 0.5390: : 684iter [01:03, 12.28iter/s]
Best score: 0.5390: : 685iter [01:03, 12.35iter/s]
Best score: 0.5390: : 685iter [01:03, 12.35iter/s]
Best score: 0.5390: : 686iter [01:03, 12.35iter/s]
Best score: 0.5390: : 687iter [01:03, 12.39iter/s]
Best score: 0.5390: : 687iter [01:03, 12.39iter/s]
Best score: 0.5390: : 688iter [01:03, 12.39iter/s]
Best score: 0.5390: : 689iter [01:03, 12.39iter/s]
Best score: 0.5390: : 689iter [01:03, 12.39iter/s]
Best score: 0.5390: : 690iter [01:04, 12.39iter/s]
Best score: 0.5390: : 691iter [01:04, 12.19iter/s]
Best score: 0.5390: : 691iter [01:04, 12.19iter/s]
Best score: 0.5390: : 692iter [01:04, 12.19iter/s]
Best score: 0.5390: : 693iter [01:04, 12.24iter/s]
Best score: 0.5390: : 693iter [01:04, 12.24iter/s]
Best score: 0.5390: : 694iter [01:04, 12.24iter/s]
Best score: 0.5390: : 695iter [01:04, 12.25iter/s]
Best score: 0.5390: : 695iter [01:04, 12.25iter/s]
Best score: 0.5390: : 696iter [01:04, 12.25iter/s]
Best score: 0.5390: : 697iter [01:04, 12.25iter/s]
Best score: 0.5390: : 697iter [01:04, 12.25iter/s]
Best score: 0.5390: : 698iter [01:04, 12.25iter/s]
Best score: 0.5390: : 699iter [01:04, 12.26iter/s]
[ITER 700] Best: 0.4910
[PARAMS] Current best parameters:
  fx: 559.8800
  fy: 560.1453
  px: 1034.8742
  py: 771.4599
  k1: -0.01191052
  k2: -0.04177581
  k3: 0.03613287
  k4: -0.00963042
  p1: 0.00431999
  p2: 0.01490782
  p3: -0.01930235
  p4: -0.00095541
  s1: 0.0105
  s2: -0.0042
  s3: 0.0247
  s4: -0.0014
  tilt_x: -0.0194
  tilt_y: 0.0128
  scale: 2.9870
  rotation: -0.2089

Best score: 0.4910: : 699iter [01:04, 12.26iter/s]
Best score: 0.4910: : 700iter [01:05, 12.26iter/s]
Best score: 0.4910: : 701iter [01:05,  7.86iter/s]
Best score: 0.4910: : 701iter [01:05,  7.86iter/s]
Best score: 0.4910: : 702iter [01:05,  7.86iter/s]
Best score: 0.4910: : 703iter [01:05,  8.84iter/s]
Best score: 0.4910: : 703iter [01:05,  8.84iter/s]
Best score: 0.4910: : 704iter [01:05,  8.84iter/s]
Best score: 0.4910: : 705iter [01:05,  9.69iter/s]
Best score: 0.4910: : 705iter [01:05,  9.69iter/s]
Best score: 0.4910: : 706iter [01:05,  9.69iter/s]
Best score: 0.4910: : 707iter [01:05, 10.39iter/s]
Best score: 0.4910: : 707iter [01:05, 10.39iter/s]
Best score: 0.4910: : 708iter [01:05, 10.39iter/s]
Best score: 0.4910: : 709iter [01:05, 10.94iter/s]
Best score: 0.4879: : 709iter [01:05, 10.94iter/s]
Best score: 0.4879: : 710iter [01:05, 10.94iter/s]
Best score: 0.4879: : 711iter [01:05, 11.13iter/s]
Best score: 0.4879: : 711iter [01:06, 11.13iter/s]
Best score: 0.4879: : 712iter [01:06, 11.13iter/s]
Best score: 0.4879: : 713iter [01:06, 11.49iter/s]
Best score: 0.4879: : 713iter [01:06, 11.49iter/s]
Best score: 0.4879: : 714iter [01:06, 11.49iter/s]
Best score: 0.4879: : 715iter [01:06, 11.76iter/s]
Best score: 0.4879: : 715iter [01:06, 11.76iter/s]
Best score: 0.4879: : 716iter [01:06, 11.76iter/s]
Best score: 0.4879: : 717iter [01:06, 11.92iter/s]
Best score: 0.4879: : 717iter [01:06, 11.92iter/s]
Best score: 0.4879: : 718iter [01:06, 11.92iter/s]
Best score: 0.4879: : 719iter [01:06, 12.04iter/s]
Best score: 0.4827: : 719iter [01:06, 12.04iter/s]
Best score: 0.4827: : 720iter [01:06, 12.04iter/s]
Best score: 0.4827: : 721iter [01:06, 11.96iter/s]
Best score: 0.4827: : 721iter [01:06, 11.96iter/s]
Best score: 0.4827: : 722iter [01:06, 11.96iter/s]
Best score: 0.4827: : 723iter [01:06, 12.11iter/s]
Best score: 0.4827: : 723iter [01:07, 12.11iter/s]
Best score: 0.4827: : 724iter [01:07, 12.11iter/s]
Best score: 0.4827: : 725iter [01:07, 12.19iter/s]
Best score: 0.4827: : 725iter [01:07, 12.19iter/s]
Best score: 0.4827: : 726iter [01:07, 12.19iter/s]
Best score: 0.4827: : 727iter [01:07, 12.27iter/s]
Best score: 0.4827: : 727iter [01:07, 12.27iter/s]
Best score: 0.4827: : 728iter [01:07, 12.27iter/s]
Best score: 0.4827: : 729iter [01:07, 12.33iter/s]
Best score: 0.4754: : 729iter [01:07, 12.33iter/s]
Best score: 0.4754: : 730iter [01:07, 12.33iter/s]
Best score: 0.4754: : 731iter [01:07, 12.16iter/s]
Best score: 0.4754: : 731iter [01:07, 12.16iter/s]
Best score: 0.4754: : 732iter [01:07, 12.16iter/s]
Best score: 0.4754: : 733iter [01:07, 12.26iter/s]
Best score: 0.4754: : 733iter [01:07, 12.26iter/s]
Best score: 0.4754: : 734iter [01:07, 12.26iter/s]
Best score: 0.4754: : 735iter [01:07, 12.33iter/s]
Best score: 0.4754: : 735iter [01:07, 12.33iter/s]
Best score: 0.4754: : 736iter [01:08, 12.33iter/s]
Best score: 0.4754: : 737iter [01:08, 12.39iter/s]
Best score: 0.4754: : 737iter [01:08, 12.39iter/s]
Best score: 0.4754: : 738iter [01:08, 12.39iter/s]
Best score: 0.4754: : 739iter [01:08, 12.44iter/s]
Best score: 0.4630: : 739iter [01:08, 12.44iter/s]
Best score: 0.4630: : 740iter [01:08, 12.44iter/s]
Best score: 0.4630: : 741iter [01:08, 12.21iter/s]
Best score: 0.4630: : 741iter [01:08, 12.21iter/s]
Best score: 0.4630: : 742iter [01:08, 12.21iter/s]
Best score: 0.4630: : 743iter [01:08, 12.30iter/s]
Best score: 0.4630: : 743iter [01:08, 12.30iter/s]
Best score: 0.4630: : 744iter [01:08, 12.30iter/s]
Best score: 0.4630: : 745iter [01:08, 12.36iter/s]
Best score: 0.4630: : 745iter [01:08, 12.36iter/s]
Best score: 0.4630: : 746iter [01:08, 12.36iter/s]
Best score: 0.4630: : 747iter [01:08, 12.40iter/s]
Best score: 0.4630: : 747iter [01:08, 12.40iter/s]
Best score: 0.4630: : 748iter [01:09, 12.40iter/s]
Best score: 0.4630: : 749iter [01:09, 12.40iter/s]
[ITER 750] Best: 0.4457
[PARAMS] Current best parameters:
  fx: 555.4019
  fy: 555.4348
  px: 1032.4242
  py: 769.4308
  k1: 0.00073016
  k2: -0.05220985
  k3: 0.04181069
  k4: -0.01114441
  p1: 0.00597591
  p2: 0.00647134
  p3: -0.00905937
  p4: -0.00488090
  s1: 0.0040
  s2: 0.0029
  s3: 0.0120
  s4: 0.0010
  tilt_x: -0.0334
  tilt_y: 0.0104
  scale: 2.9776
  rotation: -0.2296

Best score: 0.4457: : 749iter [01:09, 12.40iter/s]
Best score: 0.4457: : 750iter [01:09, 12.40iter/s]
Best score: 0.4457: : 751iter [01:09,  7.89iter/s]
Best score: 0.4457: : 751iter [01:09,  7.89iter/s]
Best score: 0.4457: : 752iter [01:09,  7.89iter/s]
Best score: 0.4457: : 753iter [01:09,  8.87iter/s]
Best score: 0.4457: : 753iter [01:09,  8.87iter/s]
Best score: 0.4457: : 754iter [01:09,  8.87iter/s]
Best score: 0.4457: : 755iter [01:09,  9.71iter/s]
Best score: 0.4457: : 755iter [01:09,  9.71iter/s]
Best score: 0.4457: : 756iter [01:09,  9.71iter/s]
Best score: 0.4457: : 757iter [01:09, 10.41iter/s]
Best score: 0.4457: : 757iter [01:10, 10.41iter/s]
Best score: 0.4457: : 758iter [01:10, 10.41iter/s]
Best score: 0.4457: : 759iter [01:10, 10.96iter/s]
Best score: 0.4372: : 759iter [01:10, 10.96iter/s]
Best score: 0.4372: : 760iter [01:10, 10.96iter/s]
Best score: 0.4372: : 761iter [01:10, 11.18iter/s]
Best score: 0.4372: : 761iter [01:10, 11.18iter/s]
Best score: 0.4372: : 762iter [01:10, 11.18iter/s]
Best score: 0.4372: : 763iter [01:10, 11.51iter/s]
Best score: 0.4372: : 763iter [01:10, 11.51iter/s]
Best score: 0.4372: : 764iter [01:10, 11.51iter/s]
Best score: 0.4372: : 765iter [01:10, 11.77iter/s]
Best score: 0.4372: : 765iter [01:10, 11.77iter/s]
Best score: 0.4372: : 766iter [01:10, 11.77iter/s]
Best score: 0.4372: : 767iter [01:10, 11.96iter/s]
Best score: 0.4372: : 767iter [01:10, 11.96iter/s]
Best score: 0.4372: : 768iter [01:10, 11.96iter/s]
Best score: 0.4372: : 769iter [01:10, 12.01iter/s]
Best score: 0.4372: : 769iter [01:11, 12.01iter/s]
Best score: 0.4372: : 770iter [01:11, 12.01iter/s]
Best score: 0.4372: : 771iter [01:11, 11.95iter/s]
Best score: 0.4372: : 771iter [01:11, 11.95iter/s]
Best score: 0.4372: : 772iter [01:11, 11.95iter/s]
Best score: 0.4372: : 773iter [01:11, 12.09iter/s]
Best score: 0.4372: : 773iter [01:11, 12.09iter/s]
Best score: 0.4372: : 774iter [01:11, 12.09iter/s]
Best score: 0.4372: : 775iter [01:11, 12.21iter/s]
Best score: 0.4372: : 775iter [01:11, 12.21iter/s]
Best score: 0.4372: : 776iter [01:11, 12.21iter/s]
Best score: 0.4372: : 777iter [01:11, 12.29iter/s]
Best score: 0.4372: : 777iter [01:11, 12.29iter/s]
Best score: 0.4372: : 778iter [01:11, 12.29iter/s]
Best score: 0.4372: : 779iter [01:11, 12.31iter/s]
Best score: 0.4372: : 779iter [01:11, 12.31iter/s]
Best score: 0.4372: : 780iter [01:11, 12.31iter/s]
Best score: 0.4372: : 781iter [01:11, 12.15iter/s]
Best score: 0.4372: : 781iter [01:12, 12.15iter/s]
Best score: 0.4372: : 782iter [01:12, 12.15iter/s]
Best score: 0.4372: : 783iter [01:12, 12.26iter/s]
Best score: 0.4372: : 783iter [01:12, 12.26iter/s]
Best score: 0.4372: : 784iter [01:12, 12.26iter/s]
Best score: 0.4372: : 785iter [01:12, 12.32iter/s]
Best score: 0.4372: : 785iter [01:12, 12.32iter/s]
Best score: 0.4372: : 786iter [01:12, 12.32iter/s]
Best score: 0.4372: : 787iter [01:12, 12.36iter/s]
Best score: 0.4372: : 787iter [01:12, 12.36iter/s]
Best score: 0.4372: : 788iter [01:12, 12.36iter/s]
Best score: 0.4372: : 789iter [01:12, 12.38iter/s]
Best score: 0.4317: : 789iter [01:12, 12.38iter/s]
Best score: 0.4317: : 790iter [01:12, 12.38iter/s]
Best score: 0.4317: : 791iter [01:12, 12.16iter/s]
Best score: 0.4317: : 791iter [01:12, 12.16iter/s]
Best score: 0.4317: : 792iter [01:12, 12.16iter/s]
Best score: 0.4317: : 793iter [01:12, 12.25iter/s]
Best score: 0.4317: : 793iter [01:12, 12.25iter/s]
Best score: 0.4317: : 794iter [01:13, 12.25iter/s]
Best score: 0.4317: : 795iter [01:13, 12.31iter/s]
Best score: 0.4317: : 795iter [01:13, 12.31iter/s]
Best score: 0.4317: : 796iter [01:13, 12.31iter/s]
Best score: 0.4317: : 797iter [01:13, 12.35iter/s]
Best score: 0.4317: : 797iter [01:13, 12.35iter/s]
Best score: 0.4317: : 798iter [01:13, 12.35iter/s]
Best score: 0.4317: : 799iter [01:13, 12.38iter/s]
[ITER 800] Best: 0.4235
[PARAMS] Current best parameters:
  fx: 557.7835
  fy: 557.8446
  px: 1034.2398
  py: 768.6223
  k1: -0.00927751
  k2: -0.03971697
  k3: 0.03427061
  k4: -0.00947125
  p1: 0.00290926
  p2: 0.01206697
  p3: -0.02455911
  p4: 0.00497898
  s1: 0.0170
  s2: -0.0078
  s3: 0.0318
  s4: -0.0108
  tilt_x: -0.0320
  tilt_y: 0.0115
  scale: 2.9840
  rotation: -0.2776

Best score: 0.4235: : 799iter [01:13, 12.38iter/s]
Best score: 0.4235: : 800iter [01:13, 12.38iter/s]
Best score: 0.4235: : 801iter [01:13,  7.89iter/s]
Best score: 0.4235: : 801iter [01:13,  7.89iter/s]
Best score: 0.4235: : 802iter [01:14,  7.89iter/s]
Best score: 0.4235: : 803iter [01:14,  8.87iter/s]
Best score: 0.4235: : 803iter [01:14,  8.87iter/s]
Best score: 0.4235: : 804iter [01:14,  8.87iter/s]
Best score: 0.4235: : 805iter [01:14,  9.71iter/s]
Best score: 0.4235: : 805iter [01:14,  9.71iter/s]
Best score: 0.4235: : 806iter [01:14,  9.71iter/s]
Best score: 0.4235: : 807iter [01:14, 10.41iter/s]
Best score: 0.4235: : 807iter [01:14, 10.41iter/s]
Best score: 0.4235: : 808iter [01:14, 10.41iter/s]
Best score: 0.4235: : 809iter [01:14, 10.94iter/s]
Best score: 0.4152: : 809iter [01:14, 10.94iter/s]
Best score: 0.4152: : 810iter [01:14, 10.94iter/s]
Best score: 0.4152: : 811iter [01:14, 11.18iter/s]
Best score: 0.4152: : 811iter [01:14, 11.18iter/s]
Best score: 0.4152: : 812iter [01:14, 11.18iter/s]
Best score: 0.4152: : 813iter [01:14, 11.55iter/s]
Best score: 0.4152: : 813iter [01:14, 11.55iter/s]
Best score: 0.4152: : 814iter [01:14, 11.55iter/s]
Best score: 0.4152: : 815iter [01:14, 11.80iter/s]
Best score: 0.4152: : 815iter [01:15, 11.80iter/s]
Best score: 0.4152: : 816iter [01:15, 11.80iter/s]
Best score: 0.4152: : 817iter [01:15, 12.00iter/s]
Best score: 0.4152: : 817iter [01:15, 12.00iter/s]
Best score: 0.4152: : 818iter [01:15, 12.00iter/s]
Best score: 0.4152: : 819iter [01:15, 12.13iter/s]
Best score: 0.4152: : 819iter [01:15, 12.13iter/s]
Best score: 0.4152: : 820iter [01:15, 12.13iter/s]
Best score: 0.4152: : 821iter [01:15, 12.03iter/s]
Best score: 0.4152: : 821iter [01:15, 12.03iter/s]
Best score: 0.4152: : 822iter [01:15, 12.03iter/s]
Best score: 0.4152: : 823iter [01:15, 12.18iter/s]
Best score: 0.4152: : 823iter [01:15, 12.18iter/s]
Best score: 0.4152: : 824iter [01:15, 12.18iter/s]
Best score: 0.4152: : 825iter [01:15, 12.27iter/s]
Best score: 0.4152: : 825iter [01:15, 12.27iter/s]
Best score: 0.4152: : 826iter [01:15, 12.27iter/s]
Best score: 0.4152: : 827iter [01:15, 12.32iter/s]
Best score: 0.4152: : 827iter [01:16, 12.32iter/s]
Best score: 0.4152: : 828iter [01:16, 12.32iter/s]
Best score: 0.4152: : 829iter [01:16, 12.38iter/s]
Best score: 0.4045: : 829iter [01:16, 12.38iter/s]
Best score: 0.4045: : 830iter [01:16, 12.38iter/s]
Best score: 0.4045: : 831iter [01:16, 12.19iter/s]
Best score: 0.4045: : 831iter [01:16, 12.19iter/s]
Best score: 0.4045: : 832iter [01:16, 12.19iter/s]
Best score: 0.4045: : 833iter [01:16, 12.28iter/s]
Best score: 0.4045: : 833iter [01:16, 12.28iter/s]
Best score: 0.4045: : 834iter [01:16, 12.28iter/s]
Best score: 0.4045: : 835iter [01:16, 12.33iter/s]
Best score: 0.4045: : 835iter [01:16, 12.33iter/s]
Best score: 0.4045: : 836iter [01:16, 12.33iter/s]
Best score: 0.4045: : 837iter [01:16, 12.37iter/s]
Best score: 0.4045: : 837iter [01:16, 12.37iter/s]
Best score: 0.4045: : 838iter [01:16, 12.37iter/s]
Best score: 0.4045: : 839iter [01:16, 12.41iter/s]
Best score: 0.4024: : 839iter [01:17, 12.41iter/s]
Best score: 0.4024: : 840iter [01:17, 12.41iter/s]
Best score: 0.4024: : 841iter [01:17, 12.20iter/s]
Best score: 0.4024: : 841iter [01:17, 12.20iter/s]
Best score: 0.4024: : 842iter [01:17, 12.20iter/s]
Best score: 0.4024: : 843iter [01:17, 12.24iter/s]
Best score: 0.4024: : 843iter [01:17, 12.24iter/s]
Best score: 0.4024: : 844iter [01:17, 12.24iter/s]
Best score: 0.4024: : 845iter [01:17, 12.30iter/s]
Best score: 0.4024: : 845iter [01:17, 12.30iter/s]
Best score: 0.4024: : 846iter [01:17, 12.30iter/s]
Best score: 0.4024: : 847iter [01:17, 12.36iter/s]
Best score: 0.4024: : 847iter [01:17, 12.36iter/s]
Best score: 0.4024: : 848iter [01:17, 12.36iter/s]
Best score: 0.4024: : 849iter [01:17, 12.37iter/s]
[ITER 850] Best: 0.3919
[PARAMS] Current best parameters:
  fx: 554.3813
  fy: 554.4097
  px: 1031.3813
  py: 764.8225
  k1: -0.00658160
  k2: -0.03441907
  k3: 0.02762027
  k4: -0.00733086
  p1: -0.00326054
  p2: 0.00910828
  p3: -0.02048145
  p4: 0.00218268
  s1: 0.0142
  s2: -0.0052
  s3: 0.0269
  s4: -0.0044
  tilt_x: -0.0381
  tilt_y: 0.0200
  scale: 2.9860
  rotation: -0.2670

Best score: 0.3919: : 849iter [01:17, 12.37iter/s]
Best score: 0.3919: : 850iter [01:18, 12.37iter/s]
Best score: 0.3919: : 851iter [01:18,  7.90iter/s]
Best score: 0.3919: : 851iter [01:18,  7.90iter/s]
Best score: 0.3919: : 852iter [01:18,  7.90iter/s]
Best score: 0.3919: : 853iter [01:18,  8.87iter/s]
Best score: 0.3919: : 853iter [01:18,  8.87iter/s]
Best score: 0.3919: : 854iter [01:18,  8.87iter/s]
Best score: 0.3919: : 855iter [01:18,  9.70iter/s]
Best score: 0.3919: : 855iter [01:18,  9.70iter/s]
Best score: 0.3919: : 856iter [01:18,  9.70iter/s]
Best score: 0.3919: : 857iter [01:18, 10.40iter/s]
Best score: 0.3919: : 857iter [01:18, 10.40iter/s]
Best score: 0.3919: : 858iter [01:18, 10.40iter/s]
Best score: 0.3919: : 859iter [01:18, 10.92iter/s]
Best score: 0.3864: : 859iter [01:18, 10.92iter/s]
Best score: 0.3864: : 860iter [01:19, 10.92iter/s]
Best score: 0.3864: : 861iter [01:19, 11.08iter/s]
Best score: 0.3864: : 861iter [01:19, 11.08iter/s]
Best score: 0.3864: : 862iter [01:19, 11.08iter/s]
Best score: 0.3864: : 863iter [01:19, 11.47iter/s]
Best score: 0.3864: : 863iter [01:19, 11.47iter/s]
Best score: 0.3864: : 864iter [01:19, 11.47iter/s]
Best score: 0.3864: : 865iter [01:19, 11.73iter/s]
Best score: 0.3864: : 865iter [01:19, 11.73iter/s]
Best score: 0.3864: : 866iter [01:19, 11.73iter/s]
Best score: 0.3864: : 867iter [01:19, 11.95iter/s]
Best score: 0.3864: : 867iter [01:19, 11.95iter/s]
Best score: 0.3864: : 868iter [01:19, 11.95iter/s]
Best score: 0.3864: : 869iter [01:19, 12.12iter/s]
Best score: 0.3851: : 869iter [01:19, 12.12iter/s]
Best score: 0.3851: : 870iter [01:19, 12.12iter/s]
Best score: 0.3851: : 871iter [01:19, 12.02iter/s]
Best score: 0.3851: : 871iter [01:19, 12.02iter/s]
Best score: 0.3851: : 872iter [01:20, 12.02iter/s]
Best score: 0.3851: : 873iter [01:20, 12.16iter/s]
Best score: 0.3851: : 873iter [01:20, 12.16iter/s]
Best score: 0.3851: : 874iter [01:20, 12.16iter/s]
Best score: 0.3851: : 875iter [01:20, 12.25iter/s]
Best score: 0.3851: : 875iter [01:20, 12.25iter/s]
Best score: 0.3851: : 876iter [01:20, 12.25iter/s]
Best score: 0.3851: : 877iter [01:20, 12.32iter/s]
Best score: 0.3851: : 877iter [01:20, 12.32iter/s]
Best score: 0.3851: : 878iter [01:20, 12.32iter/s]
Best score: 0.3851: : 879iter [01:20, 12.37iter/s]
Best score: 0.3844: : 879iter [01:20, 12.37iter/s]
Best score: 0.3844: : 880iter [01:20, 12.37iter/s]
Best score: 0.3844: : 881iter [01:20, 12.19iter/s]
Best score: 0.3844: : 881iter [01:20, 12.19iter/s]
Best score: 0.3844: : 882iter [01:20, 12.19iter/s]
Best score: 0.3844: : 883iter [01:20, 12.22iter/s]
Best score: 0.3844: : 883iter [01:20, 12.22iter/s]
Best score: 0.3844: : 884iter [01:20, 12.22iter/s]
Best score: 0.3844: : 885iter [01:20, 12.25iter/s]
Best score: 0.3844: : 885iter [01:21, 12.25iter/s]
Best score: 0.3844: : 886iter [01:21, 12.25iter/s]
Best score: 0.3844: : 887iter [01:21, 12.31iter/s]
Best score: 0.3844: : 887iter [01:21, 12.31iter/s]
Best score: 0.3844: : 888iter [01:21, 12.31iter/s]
Best score: 0.3844: : 889iter [01:21, 12.35iter/s]
Best score: 0.3844: : 889iter [01:21, 12.35iter/s]
Best score: 0.3844: : 890iter [01:21, 12.35iter/s]
Best score: 0.3844: : 891iter [01:21, 12.17iter/s]
Best score: 0.3844: : 891iter [01:21, 12.17iter/s]
Best score: 0.3844: : 892iter [01:21, 12.17iter/s]
Best score: 0.3844: : 893iter [01:21, 12.27iter/s]
Best score: 0.3844: : 893iter [01:21, 12.27iter/s]
Best score: 0.3844: : 894iter [01:21, 12.27iter/s]
Best score: 0.3844: : 895iter [01:21, 12.33iter/s]
Best score: 0.3844: : 895iter [01:21, 12.33iter/s]
Best score: 0.3844: : 896iter [01:21, 12.33iter/s]
Best score: 0.3844: : 897iter [01:21, 12.37iter/s]
Best score: 0.3844: : 897iter [01:22, 12.37iter/s]
Best score: 0.3844: : 898iter [01:22, 12.37iter/s]
Best score: 0.3844: : 899iter [01:22, 12.36iter/s]
[ITER 900] Best: 0.3805
[PARAMS] Current best parameters:
  fx: 559.2674
  fy: 559.2742
  px: 1032.7975
  py: 760.9207
  k1: -0.02055865
  k2: -0.02039337
  k3: 0.01982898
  k4: -0.00564435
  p1: -0.01015514
  p2: 0.00886550
  p3: -0.02479458
  p4: 0.00630447
  s1: 0.0198
  s2: -0.0095
  s3: 0.0347
  s4: -0.0080
  tilt_x: -0.0452
  tilt_y: 0.0125
  scale: 2.9940
  rotation: -0.2601

Best score: 0.3805: : 899iter [01:22, 12.36iter/s]
Best score: 0.3805: : 900iter [01:22, 12.36iter/s]
Best score: 0.3805: : 901iter [01:22,  7.90iter/s]
Best score: 0.3805: : 901iter [01:22,  7.90iter/s]
Best score: 0.3805: : 902iter [01:22,  7.90iter/s]
Best score: 0.3805: : 903iter [01:22,  8.86iter/s]
Best score: 0.3805: : 903iter [01:22,  8.86iter/s]
Best score: 0.3805: : 904iter [01:22,  8.86iter/s]
Best score: 0.3805: : 905iter [01:22,  9.71iter/s]
Best score: 0.3805: : 905iter [01:22,  9.71iter/s]
Best score: 0.3805: : 906iter [01:23,  9.71iter/s]
Best score: 0.3805: : 907iter [01:23, 10.38iter/s]
Best score: 0.3805: : 907iter [01:23, 10.38iter/s]
Best score: 0.3805: : 908iter [01:23, 10.38iter/s]
Best score: 0.3805: : 909iter [01:23, 10.92iter/s]
Best score: 0.3735: : 909iter [01:23, 10.92iter/s]
Best score: 0.3735: : 910iter [01:23, 10.92iter/s]
Best score: 0.3735: : 911iter [01:23, 11.18iter/s]
Best score: 0.3735: : 911iter [01:23, 11.18iter/s]
Best score: 0.3735: : 912iter [01:23, 11.18iter/s]
Best score: 0.3735: : 913iter [01:23, 11.54iter/s]
Best score: 0.3735: : 913iter [01:23, 11.54iter/s]
Best score: 0.3735: : 914iter [01:23, 11.54iter/s]
Best score: 0.3735: : 915iter [01:23, 11.80iter/s]
Best score: 0.3735: : 915iter [01:23, 11.80iter/s]
Best score: 0.3735: : 916iter [01:23, 11.80iter/s]
Best score: 0.3735: : 917iter [01:23, 12.00iter/s]
Best score: 0.3735: : 917iter [01:23, 12.00iter/s]
Best score: 0.3735: : 918iter [01:24, 12.00iter/s]
Best score: 0.3735: : 919iter [01:24, 12.15iter/s]
Best score: 0.3721: : 919iter [01:24, 12.15iter/s]
Best score: 0.3721: : 920iter [01:24, 12.15iter/s]
Best score: 0.3721: : 921iter [01:24, 12.03iter/s]
Best score: 0.3721: : 921iter [01:24, 12.03iter/s]
Best score: 0.3721: : 922iter [01:24, 12.03iter/s]
Best score: 0.3721: : 923iter [01:24, 12.17iter/s]
Best score: 0.3721: : 923iter [01:24, 12.17iter/s]
Best score: 0.3721: : 924iter [01:24, 12.17iter/s]
Best score: 0.3721: : 925iter [01:24, 12.24iter/s]
Best score: 0.3721: : 925iter [01:24, 12.24iter/s]
Best score: 0.3721: : 926iter [01:24, 12.24iter/s]
Best score: 0.3721: : 927iter [01:24, 12.30iter/s]
Best score: 0.3721: : 927iter [01:24, 12.30iter/s]
Best score: 0.3721: : 928iter [01:24, 12.30iter/s]
Best score: 0.3721: : 929iter [01:24, 12.36iter/s]
Best score: 0.3703: : 929iter [01:24, 12.36iter/s]
Best score: 0.3703: : 930iter [01:25, 12.36iter/s]
Best score: 0.3703: : 931iter [01:25, 12.19iter/s]
Best score: 0.3703: : 931iter [01:25, 12.19iter/s]
Best score: 0.3703: : 932iter [01:25, 12.19iter/s]
Best score: 0.3703: : 933iter [01:25, 12.28iter/s]
Best score: 0.3703: : 933iter [01:25, 12.28iter/s]
Best score: 0.3703: : 934iter [01:25, 12.28iter/s]
Best score: 0.3703: : 935iter [01:25, 12.32iter/s]
Best score: 0.3703: : 935iter [01:25, 12.32iter/s]
Best score: 0.3703: : 936iter [01:25, 12.32iter/s]
Best score: 0.3703: : 937iter [01:25, 12.37iter/s]
Best score: 0.3703: : 937iter [01:25, 12.37iter/s]
Best score: 0.3703: : 938iter [01:25, 12.37iter/s]
Best score: 0.3703: : 939iter [01:25, 12.41iter/s]
Best score: 0.3691: : 939iter [01:25, 12.41iter/s]
Best score: 0.3691: : 940iter [01:25, 12.41iter/s]
Best score: 0.3691: : 941iter [01:25, 12.22iter/s]
Best score: 0.3691: : 941iter [01:25, 12.22iter/s]
Best score: 0.3691: : 942iter [01:25, 12.22iter/s]
Best score: 0.3691: : 943iter [01:25, 12.31iter/s]
Best score: 0.3691: : 943iter [01:26, 12.31iter/s]
Best score: 0.3691: : 944iter [01:26, 12.31iter/s]
Best score: 0.3691: : 945iter [01:26, 12.37iter/s]
Best score: 0.3691: : 945iter [01:26, 12.37iter/s]
Best score: 0.3691: : 946iter [01:26, 12.37iter/s]
Best score: 0.3691: : 947iter [01:26, 12.40iter/s]
Best score: 0.3691: : 947iter [01:26, 12.40iter/s]
Best score: 0.3691: : 948iter [01:26, 12.40iter/s]
Best score: 0.3691: : 949iter [01:26, 12.43iter/s]
[ITER 950] Best: 0.3689
[PARAMS] Current best parameters:
  fx: 553.7928
  fy: 553.5909
  px: 1030.8726
  py: 760.6246
  k1: -0.01726454
  k2: -0.01526807
  k3: 0.01545835
  k4: -0.00457737
  p1: -0.01101791
  p2: 0.00584670
  p3: -0.02958602
  p4: 0.00872345
  s1: 0.0250
  s2: -0.0110
  s3: 0.0381
  s4: -0.0095
  tilt_x: -0.0436
  tilt_y: 0.0165
  scale: 2.9962
  rotation: -0.2580

Best score: 0.3689: : 949iter [01:26, 12.43iter/s]
Best score: 0.3689: : 950iter [01:26, 12.43iter/s]
Best score: 0.3689: : 951iter [01:26,  7.91iter/s]
Best score: 0.3689: : 951iter [01:27,  7.91iter/s]
Best score: 0.3689: : 952iter [01:27,  7.91iter/s]
Best score: 0.3689: : 953iter [01:27,  8.88iter/s]
Best score: 0.3689: : 953iter [01:27,  8.88iter/s]
Best score: 0.3689: : 954iter [01:27,  8.88iter/s]
Best score: 0.3689: : 955iter [01:27,  9.72iter/s]
Best score: 0.3689: : 955iter [01:27,  9.72iter/s]
Best score: 0.3689: : 956iter [01:27,  9.72iter/s]
Best score: 0.3689: : 957iter [01:27, 10.39iter/s]
Best score: 0.3689: : 957iter [01:27, 10.39iter/s]
Best score: 0.3689: : 958iter [01:27, 10.39iter/s]
Best score: 0.3689: : 959iter [01:27, 10.95iter/s]
Best score: 0.3688: : 959iter [01:27, 10.95iter/s]
Best score: 0.3688: : 960iter [01:27, 10.95iter/s]
Best score: 0.3688: : 961iter [01:27, 11.16iter/s]
Best score: 0.3688: : 961iter [01:27, 11.16iter/s]
Best score: 0.3688: : 962iter [01:27, 11.16iter/s]
Best score: 0.3688: : 963iter [01:27, 11.52iter/s]
Best score: 0.3688: : 963iter [01:27, 11.52iter/s]
Best score: 0.3688: : 964iter [01:28, 11.52iter/s]
Best score: 0.3688: : 965iter [01:28, 11.80iter/s]
Best score: 0.3688: : 965iter [01:28, 11.80iter/s]
Best score: 0.3688: : 966iter [01:28, 11.80iter/s]
Best score: 0.3688: : 967iter [01:28, 11.99iter/s]
Best score: 0.3688: : 967iter [01:28, 11.99iter/s]
Best score: 0.3688: : 968iter [01:28, 11.99iter/s]
Best score: 0.3688: : 969iter [01:28, 12.12iter/s]
Best score: 0.3676: : 969iter [01:28, 12.12iter/s]
Best score: 0.3676: : 970iter [01:28, 12.12iter/s]
Best score: 0.3676: : 971iter [01:28, 12.00iter/s]
Best score: 0.3676: : 971iter [01:28, 12.00iter/s]
Best score: 0.3676: : 972iter [01:28, 12.00iter/s]
Best score: 0.3676: : 973iter [01:28, 12.16iter/s]
Best score: 0.3676: : 973iter [01:28, 12.16iter/s]
Best score: 0.3676: : 974iter [01:28, 12.16iter/s]
Best score: 0.3676: : 975iter [01:28, 12.27iter/s]
Best score: 0.3676: : 975iter [01:28, 12.27iter/s]
Best score: 0.3676: : 976iter [01:29, 12.27iter/s]
Best score: 0.3676: : 977iter [01:29, 12.32iter/s]
Best score: 0.3676: : 977iter [01:29, 12.32iter/s]
Best score: 0.3676: : 978iter [01:29, 12.32iter/s]
Best score: 0.3676: : 979iter [01:29, 12.35iter/s]
Best score: 0.3664: : 979iter [01:29, 12.35iter/s]
Best score: 0.3664: : 980iter [01:29, 12.35iter/s]
Best score: 0.3664: : 981iter [01:29, 12.18iter/s]
Best score: 0.3664: : 981iter [01:29, 12.18iter/s]
Best score: 0.3664: : 982iter [01:29, 12.18iter/s]
Best score: 0.3664: : 983iter [01:29, 12.26iter/s]
Best score: 0.3664: : 983iter [01:29, 12.26iter/s]
Best score: 0.3664: : 984iter [01:29, 12.26iter/s]
Best score: 0.3664: : 985iter [01:29, 12.33iter/s]
Best score: 0.3664: : 985iter [01:29, 12.33iter/s]
Best score: 0.3664: : 986iter [01:29, 12.33iter/s]
Best score: 0.3664: : 987iter [01:29, 12.38iter/s]
Best score: 0.3664: : 987iter [01:29, 12.38iter/s]
Best score: 0.3664: : 988iter [01:30, 12.38iter/s]
Best score: 0.3664: : 989iter [01:30, 12.38iter/s]
Best score: 0.3662: : 989iter [01:30, 12.38iter/s]
Best score: 0.3662: : 990iter [01:30, 12.38iter/s]
Best score: 0.3662: : 991iter [01:30, 12.17iter/s]
Best score: 0.3662: : 991iter [01:30, 12.17iter/s]
Best score: 0.3662: : 992iter [01:30, 12.17iter/s]
Best score: 0.3662: : 993iter [01:30, 12.20iter/s]
Best score: 0.3662: : 993iter [01:30, 12.20iter/s]
Best score: 0.3662: : 994iter [01:30, 12.20iter/s]
Best score: 0.3662: : 995iter [01:30, 12.26iter/s]
Best score: 0.3662: : 995iter [01:30, 12.26iter/s]
Best score: 0.3662: : 996iter [01:30, 12.26iter/s]
Best score: 0.3662: : 997iter [01:30, 12.31iter/s]
Best score: 0.3662: : 997iter [01:30, 12.31iter/s]
Best score: 0.3662: : 998iter [01:30, 12.31iter/s]
Best score: 0.3662: : 999iter [01:30, 12.37iter/s]
[ITER 1000] Best: 0.3660
[PARAMS] Current best parameters:
  fx: 558.6328
  fy: 558.5139
  px: 1031.4351
  py: 759.0623
  k1: -0.02642746
  k2: -0.00643241
  k3: 0.00924902
  k4: -0.00291707
  p1: -0.01353752
  p2: 0.00263911
  p3: -0.03199130
  p4: 0.01371114
  s1: 0.0320
  s2: -0.0171
  s3: 0.0410
  s4: -0.0143
  tilt_x: -0.0470
  tilt_y: 0.0071
  scale: 2.9963
  rotation: -0.2378

Best score: 0.3660: : 999iter [01:30, 12.37iter/s]
Best score: 0.3660: : 1000iter [01:31, 12.37iter/s]
Best score: 0.3660: : 1001iter [01:31,  7.91iter/s]
Best score: 0.3660: : 1001iter [01:31,  7.91iter/s]
Best score: 0.3660: : 1002iter [01:31,  7.91iter/s]
Best score: 0.3660: : 1003iter [01:31,  8.86iter/s]
Best score: 0.3660: : 1003iter [01:31,  8.86iter/s]
Best score: 0.3660: : 1004iter [01:31,  8.86iter/s]
Best score: 0.3660: : 1005iter [01:31,  9.71iter/s]
Best score: 0.3660: : 1005iter [01:31,  9.71iter/s]
Best score: 0.3660: : 1006iter [01:31,  9.71iter/s]
Best score: 0.3660: : 1007iter [01:31, 10.41iter/s]
Best score: 0.3660: : 1007iter [01:31, 10.41iter/s]
Best score: 0.3660: : 1008iter [01:31, 10.41iter/s]
Best score: 0.3660: : 1009iter [01:31, 10.95iter/s]
Best score: 0.3653: : 1009iter [01:32, 10.95iter/s]
Best score: 0.3653: : 1010iter [01:32, 10.95iter/s]
Best score: 0.3653: : 1011iter [01:32, 11.16iter/s]
Best score: 0.3653: : 1011iter [01:32, 11.16iter/s]
Best score: 0.3653: : 1012iter [01:32, 11.16iter/s]
Best score: 0.3653: : 1013iter [01:32, 11.53iter/s]
Best score: 0.3653: : 1013iter [01:32, 11.53iter/s]
Best score: 0.3653: : 1014iter [01:32, 11.53iter/s]
Best score: 0.3653: : 1015iter [01:32, 11.80iter/s]
Best score: 0.3653: : 1015iter [01:32, 11.80iter/s]
Best score: 0.3653: : 1016iter [01:32, 11.80iter/s]
Best score: 0.3653: : 1017iter [01:32, 12.00iter/s]
Best score: 0.3653: : 1017iter [01:32, 12.00iter/s]
Best score: 0.3653: : 1018iter [01:32, 12.00iter/s]
Best score: 0.3653: : 1019iter [01:32, 12.14iter/s]
Best score: 0.3645: : 1019iter [01:32, 12.14iter/s]
Best score: 0.3645: : 1020iter [01:32, 12.14iter/s]
Best score: 0.3645: : 1021iter [01:32, 12.01iter/s]
Best score: 0.3645: : 1021iter [01:33, 12.01iter/s]
Best score: 0.3645: : 1022iter [01:33, 12.01iter/s]
Best score: 0.3645: : 1023iter [01:33, 12.14iter/s]
Best score: 0.3645: : 1023iter [01:33, 12.14iter/s]
Best score: 0.3645: : 1024iter [01:33, 12.14iter/s]
Best score: 0.3645: : 1025iter [01:33, 12.24iter/s]
Best score: 0.3645: : 1025iter [01:33, 12.24iter/s]
Best score: 0.3645: : 1026iter [01:33, 12.24iter/s]
Best score: 0.3645: : 1027iter [01:33, 12.32iter/s]
Best score: 0.3645: : 1027iter [01:33, 12.32iter/s]
Best score: 0.3645: : 1028iter [01:33, 12.32iter/s]
Best score: 0.3645: : 1029iter [01:33, 12.36iter/s]
Best score: 0.3645: : 1029iter [01:33, 12.36iter/s]
Best score: 0.3645: : 1030iter [01:33, 12.36iter/s]
Best score: 0.3645: : 1031iter [01:33, 12.18iter/s]
Best score: 0.3645: : 1031iter [01:33, 12.18iter/s]
Best score: 0.3645: : 1032iter [01:33, 12.18iter/s]
Best score: 0.3645: : 1033iter [01:33, 12.27iter/s]
Best score: 0.3645: : 1033iter [01:33, 12.27iter/s]
Best score: 0.3645: : 1034iter [01:34, 12.27iter/s]
Best score: 0.3645: : 1035iter [01:34, 12.34iter/s]
Best score: 0.3645: : 1035iter [01:34, 12.34iter/s]
Best score: 0.3645: : 1036iter [01:34, 12.34iter/s]
Best score: 0.3645: : 1037iter [01:34, 12.38iter/s]
Best score: 0.3645: : 1037iter [01:34, 12.38iter/s]
Best score: 0.3645: : 1038iter [01:34, 12.38iter/s]
Best score: 0.3645: : 1039iter [01:34, 12.40iter/s]
Best score: 0.3642: : 1039iter [01:34, 12.40iter/s]
Best score: 0.3642: : 1040iter [01:34, 12.40iter/s]
Best score: 0.3642: : 1041iter [01:34, 12.22iter/s]
Best score: 0.3642: : 1041iter [01:34, 12.22iter/s]
Best score: 0.3642: : 1042iter [01:34, 12.22iter/s]
Best score: 0.3642: : 1043iter [01:34, 12.30iter/s]
Best score: 0.3642: : 1043iter [01:34, 12.30iter/s]
Best score: 0.3642: : 1044iter [01:34, 12.30iter/s]
Best score: 0.3642: : 1045iter [01:34, 12.35iter/s]
Best score: 0.3642: : 1045iter [01:34, 12.35iter/s]
Best score: 0.3642: : 1046iter [01:35, 12.35iter/s]
Best score: 0.3642: : 1047iter [01:35, 12.36iter/s]
Best score: 0.3642: : 1047iter [01:35, 12.36iter/s]
Best score: 0.3642: : 1048iter [01:35, 12.36iter/s]
Best score: 0.3642: : 1049iter [01:35, 12.40iter/s]
[ITER 1050] Best: 0.3642
[PARAMS] Current best parameters:
  fx: 557.3718
  fy: 557.1116
  px: 1031.4854
  py: 759.3107
  k1: -0.02611807
  k2: -0.00593864
  k3: 0.00948938
  k4: -0.00309276
  p1: -0.01340296
  p2: 0.00311825
  p3: -0.03385923
  p4: 0.01384170
  s1: 0.0335
  s2: -0.0171
  s3: 0.0432
  s4: -0.0148
  tilt_x: -0.0455
  tilt_y: 0.0079
  scale: 2.9987
  rotation: -0.2391

Best score: 0.3642: : 1049iter [01:35, 12.40iter/s]
Best score: 0.3642: : 1050iter [01:35, 12.40iter/s]
Best score: 0.3642: : 1051iter [01:35,  7.89iter/s]
Best score: 0.3642: : 1051iter [01:35,  7.89iter/s]
Best score: 0.3642: : 1052iter [01:35,  7.89iter/s]
Best score: 0.3642: : 1053iter [01:35,  8.86iter/s]
Best score: 0.3642: : 1053iter [01:35,  8.86iter/s]
Best score: 0.3642: : 1054iter [01:35,  8.86iter/s]
Best score: 0.3642: : 1055iter [01:35,  9.71iter/s]
Best score: 0.3642: : 1055iter [01:36,  9.71iter/s]
Best score: 0.3642: : 1056iter [01:36,  9.71iter/s]
Best score: 0.3642: : 1057iter [01:36, 10.41iter/s]
Best score: 0.3642: : 1057iter [01:36, 10.41iter/s]
Best score: 0.3642: : 1058iter [01:36, 10.41iter/s]
Best score: 0.3642: : 1059iter [01:36, 10.96iter/s]
Best score: 0.3642: : 1059iter [01:36, 10.96iter/s]
Best score: 0.3642: : 1060iter [01:36, 10.96iter/s]
Best score: 0.3642: : 1061iter [01:36, 11.19iter/s]
Best score: 0.3642: : 1061iter [01:36, 11.19iter/s]
Best score: 0.3642: : 1062iter [01:36, 11.19iter/s]
Best score: 0.3642: : 1063iter [01:36, 11.55iter/s]
Best score: 0.3642: : 1063iter [01:36, 11.55iter/s]
Best score: 0.3642: : 1064iter [01:36, 11.55iter/s]
Best score: 0.3642: : 1065iter [01:36, 11.82iter/s]
Best score: 0.3642: : 1065iter [01:36, 11.82iter/s]
Best score: 0.3642: : 1066iter [01:36, 11.82iter/s]
Best score: 0.3642: : 1067iter [01:36, 12.00iter/s]
Best score: 0.3642: : 1067iter [01:37, 12.00iter/s]
Best score: 0.3642: : 1068iter [01:37, 12.00iter/s]
Best score: 0.3642: : 1069iter [01:37, 12.14iter/s]
Best score: 0.3641: : 1069iter [01:37, 12.14iter/s]
Best score: 0.3641: : 1070iter [01:37, 12.14iter/s]
Best score: 0.3641: : 1071iter [01:37, 12.03iter/s]
Best score: 0.3641: : 1071iter [01:37, 12.03iter/s]
Best score: 0.3641: : 1072iter [01:37, 12.03iter/s]
Best score: 0.3641: : 1073iter [01:37, 12.13iter/s]
Best score: 0.3641: : 1073iter [01:37, 12.13iter/s]
Best score: 0.3641: : 1074iter [01:37, 12.13iter/s]
Best score: 0.3641: : 1075iter [01:37,  9.69iter/s]
Best score: 0.3641: : 1075iter [01:37,  9.69iter/s]
Best score: 0.3641: : 1076iter [01:37,  9.69iter/s]
Best score: 0.3641: : 1077iter [01:37, 10.34iter/s]
Best score: 0.3641: : 1077iter [01:37, 10.34iter/s]
Best score: 0.3641: : 1078iter [01:38, 10.34iter/s]
Best score: 0.3641: : 1079iter [01:38, 10.89iter/s]
Best score: 0.3640: : 1079iter [01:38, 10.89iter/s]
Best score: 0.3640: : 1080iter [01:38, 10.89iter/s]
Best score: 0.3640: : 1081iter [01:38, 11.14iter/s]
Best score: 0.3640: : 1081iter [01:38, 11.14iter/s]
Best score: 0.3640: : 1082iter [01:38, 11.14iter/s]
Best score: 0.3640: : 1083iter [01:38, 11.51iter/s]
Best score: 0.3640: : 1083iter [01:38, 11.51iter/s]
Best score: 0.3640: : 1084iter [01:38, 11.51iter/s]
Best score: 0.3640: : 1085iter [01:38, 11.73iter/s]
Best score: 0.3640: : 1085iter [01:38, 11.73iter/s]
Best score: 0.3640: : 1086iter [01:38, 11.73iter/s]
Best score: 0.3640: : 1087iter [01:38, 11.84iter/s]
Best score: 0.3640: : 1087iter [01:38, 11.84iter/s]
Best score: 0.3640: : 1088iter [01:38, 11.84iter/s]
Best score: 0.3640: : 1089iter [01:38, 11.97iter/s]
Best score: 0.3640: : 1089iter [01:38, 11.97iter/s]
Best score: 0.3640: : 1090iter [01:39, 11.97iter/s]
Best score: 0.3640: : 1091iter [01:39, 11.91iter/s]
Best score: 0.3640: : 1091iter [01:39, 11.91iter/s]
Best score: 0.3640: : 1092iter [01:39, 11.91iter/s]
Best score: 0.3640: : 1093iter [01:39, 12.07iter/s]
Best score: 0.3640: : 1093iter [01:39, 12.07iter/s]
Best score: 0.3640: : 1094iter [01:39, 12.07iter/s]
Best score: 0.3640: : 1095iter [01:39, 12.14iter/s]
Best score: 0.3640: : 1095iter [01:39, 12.14iter/s]
Best score: 0.3640: : 1096iter [01:39, 12.14iter/s]
Best score: 0.3640: : 1097iter [01:39, 12.23iter/s]
Best score: 0.3640: : 1097iter [01:39, 12.23iter/s]
Best score: 0.3640: : 1098iter [01:39, 12.23iter/s]
Best score: 0.3640: : 1099iter [01:39, 12.31iter/s]
[ITER 1100] Best: 0.3638
[PARAMS] Current best parameters:
  fx: 558.2864
  fy: 558.0924
  px: 1031.7437
  py: 758.5014
  k1: -0.02588495
  k2: -0.00736842
  k3: 0.01011658
  k4: -0.00315687
  p1: -0.01406990
  p2: 0.00364425
  p3: -0.03162039
  p4: 0.01325605
  s1: 0.0308
  s2: -0.0164
  s3: 0.0406
  s4: -0.0139
  tilt_x: -0.0482
  tilt_y: 0.0078
  scale: 2.9973
  rotation: -0.2425

Best score: 0.3638: : 1099iter [01:39, 12.31iter/s]
Best score: 0.3638: : 1100iter [01:40, 10.99iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.363815 -> 0.363502

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 96,308 → 90,441 within 3500mm ring
  Ring polish improved score: 0.363502 -> 0.339383
  Success: True
  Tangential distortion: p1=-0.016327, p2=0.003898, p3=-0.031719, p4=0.015719
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.3394
[✅] Parameters copied to: /working/MDC053_W024_2026-08-26/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 558.2862351377219
    fy: 558.0926254690356
    px: 1031.743680112561
    py: 758.5014700147224
    k1: -0.02821641600429204
    k2: -0.004182558528756096
    k3: 0.008916167389918603
    k4: -0.0031339147131460676
    p1: -0.01632730502527221
    p2: 0.0038977762149204954
    p3: -0.03171880409775266
    p4: 0.015718982418480642
    scale: 2.9987369768974426
    rotation: -0.24263947016195006
    mmpp: 3.43173362156881

[🔄] Converting 1802 frames to PTD, creating debug images for 400 calibration frames...

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

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

   🔄 2000L:   3%|▎         | 17/561 [00:00<00:03, 169.26frame/s]

   🔄 2000L:   6%|▌         | 34/561 [00:00<00:03, 169.60frame/s]

   🔄 2000L:   9%|▉         | 52/561 [00:00<00:02, 169.92frame/s]

   🔄 2000L:  12%|█▏        | 70/561 [00:00<00:02, 171.80frame/s]

   🔄 2000L:  16%|█▌        | 88/561 [00:00<00:02, 173.73frame/s]

   🔄 2000L:  19%|█▉        | 106/561 [00:00<00:02, 175.19frame/s]

   🔄 2000L:  22%|██▏       | 126/561 [00:00<00:02, 181.77frame/s]

   🔄 2000L:  26%|██▌       | 145/561 [00:00<00:02, 180.09frame/s]

   🔄 2000L:  29%|██▉       | 164/561 [00:00<00:02, 179.31frame/s]

   🔄 2000L:  32%|███▏      | 182/561 [00:01<00:02, 177.98frame/s]

   🔄 2000L:  36%|███▌      | 200/561 [00:01<00:02, 176.85frame/s]

   🔄 2000L:  39%|███▉      | 218/561 [00:01<00:01, 177.30frame/s]

   🔄 2000L:  42%|████▏     | 236/561 [00:01<00:01, 177.96frame/s]

   🔄 2000L:  45%|████▌     | 254/561 [00:01<00:01, 177.71frame/s]

   🔄 2000L:  48%|████▊     | 272/561 [00:01<00:01, 178.06frame/s]

   🔄 2000L:  52%|█████▏    | 290/561 [00:01<00:01, 178.26frame/s]

   🔄 2000L:  55%|█████▍    | 308/561 [00:01<00:01, 178.35frame/s]

   🔄 2000L:  58%|█████▊    | 326/561 [00:01<00:01, 178.41frame/s]

   🔄 2000L:  61%|██████▏   | 344/561 [00:01<00:01, 178.30frame/s]

   🔄 2000L:  65%|██████▍   | 362/561 [00:02<00:01, 178.07frame/s]

   🔄 2000L:  68%|██████▊   | 380/561 [00:02<00:01, 176.85frame/s]

   🔄 2000L:  71%|███████   | 398/561 [00:02<00:00, 175.92frame/s]

   🔄 2000L:  74%|███████▍  | 416/561 [00:02<00:00, 175.37frame/s]

   🔄 2000L:  77%|███████▋  | 434/561 [00:02<00:00, 174.90frame/s]

   🔄 2000L:  81%|████████  | 452/561 [00:02<00:00, 174.55frame/s]

   🔄 2000L:  84%|████████▍ | 470/561 [00:02<00:00, 174.67frame/s]

   🔄 2000L:  87%|████████▋ | 488/561 [00:02<00:00, 175.08frame/s]

   🔄 2000L:  90%|█████████ | 506/561 [00:02<00:00, 175.16frame/s]

   🔄 2000L:  93%|█████████▎| 524/561 [00:02<00:00, 174.64frame/s]

   🔄 2000L:  97%|█████████▋| 542/561 [00:03<00:00, 173.93frame/s]

   🔄 2000L: 100%|█████████▉| 560/561 [00:03<00:00, 173.65frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:05<00:17,  5.92s/rig]

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

   🔄 1500:   4%|▍         | 18/408 [00:00<00:02, 174.42frame/s]

   🔄 1500:   9%|▉         | 36/408 [00:00<00:02, 175.66frame/s]

   🔄 1500:  13%|█▎        | 55/408 [00:00<00:01, 180.19frame/s]

   🔄 1500:  18%|█▊        | 74/408 [00:00<00:01, 182.41frame/s]

   🔄 1500:  23%|██▎       | 94/408 [00:00<00:01, 187.83frame/s]

   🔄 1500:  28%|██▊       | 114/408 [00:00<00:01, 191.35frame/s]

   🔄 1500:  33%|███▎      | 134/408 [00:00<00:01, 191.57frame/s]

   🔄 1500:  38%|███▊      | 154/408 [00:00<00:01, 187.16frame/s]

   🔄 1500:  42%|████▏     | 173/408 [00:00<00:01, 185.43frame/s]

   🔄 1500:  47%|████▋     | 192/408 [00:01<00:01, 183.84frame/s]

   🔄 1500:  52%|█████▏    | 211/408 [00:01<00:01, 181.73frame/s]

   🔄 1500:  56%|█████▋    | 230/408 [00:01<00:00, 181.29frame/s]

   🔄 1500:  61%|██████    | 249/408 [00:01<00:00, 182.19frame/s]

   🔄 1500:  66%|██████▌   | 268/408 [00:01<00:00, 183.10frame/s]

   🔄 1500:  70%|███████   | 287/408 [00:01<00:00, 181.52frame/s]

   🔄 1500:  75%|███████▌  | 306/408 [00:01<00:00, 179.61frame/s]

   🔄 1500:  80%|███████▉  | 325/408 [00:01<00:00, 180.61frame/s]

   🔄 1500:  84%|████████▍ | 344/408 [00:01<00:00, 181.38frame/s]

   🔄 1500:  89%|████████▉ | 363/408 [00:01<00:00, 181.90frame/s]

   🔄 1500:  94%|█████████▎| 382/408 [00:02<00:00, 180.89frame/s]

   🔄 1500:  98%|█████████▊| 401/408 [00:02<00:00, 178.50frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:09<00:09,  4.78s/rig]

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

   🔄 1000:   7%|▋         | 18/241 [00:00<00:01, 176.70frame/s]

   🔄 1000:  15%|█▌        | 37/241 [00:00<00:01, 180.10frame/s]

   🔄 1000:  23%|██▎       | 56/241 [00:00<00:01, 182.27frame/s]

   🔄 1000:  31%|███       | 75/241 [00:00<00:00, 182.77frame/s]

   🔄 1000:  39%|███▉      | 94/241 [00:00<00:00, 180.72frame/s]

   🔄 1000:  47%|████▋     | 113/241 [00:00<00:00, 180.17frame/s]

   🔄 1000:  55%|█████▍    | 132/241 [00:00<00:00, 179.97frame/s]

   🔄 1000:  62%|██████▏   | 150/241 [00:00<00:00, 179.74frame/s]

   🔄 1000:  70%|██████▉   | 168/241 [00:00<00:00, 179.72frame/s]

   🔄 1000:  78%|███████▊  | 188/241 [00:01<00:00, 183.60frame/s]

   🔄 1000:  86%|████████▌ | 207/241 [00:01<00:00, 184.92frame/s]

   🔄 1000:  94%|█████████▍| 226/241 [00:01<00:00, 184.47frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:12<00:03,  3.70s/rig]

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

   🔄 2000R:   3%|▎         | 18/592 [00:00<00:03, 172.65frame/s]

   🔄 2000R:   6%|▌         | 36/592 [00:00<00:03, 172.64frame/s]

   🔄 2000R:   9%|▉         | 54/592 [00:00<00:03, 172.66frame/s]

   🔄 2000R:  12%|█▏        | 72/592 [00:00<00:03, 172.84frame/s]

   🔄 2000R:  15%|█▌        | 90/592 [00:00<00:02, 173.79frame/s]

   🔄 2000R:  18%|█▊        | 108/592 [00:00<00:02, 174.58frame/s]

   🔄 2000R:  21%|██▏       | 126/592 [00:00<00:02, 175.19frame/s]

   🔄 2000R:  24%|██▍       | 144/592 [00:00<00:02, 175.76frame/s]

   🔄 2000R:  27%|██▋       | 162/592 [00:00<00:02, 175.84frame/s]

   🔄 2000R:  30%|███       | 180/592 [00:01<00:02, 176.10frame/s]

   🔄 2000R:  33%|███▎      | 198/592 [00:01<00:02, 175.87frame/s]

   🔄 2000R:  36%|███▋      | 216/592 [00:01<00:02, 175.62frame/s]

   🔄 2000R:  40%|███▉      | 234/592 [00:01<00:02, 175.56frame/s]

   🔄 2000R:  43%|████▎     | 252/592 [00:01<00:01, 175.21frame/s]

   🔄 2000R:  46%|████▌     | 270/592 [00:01<00:01, 175.19frame/s]

   🔄 2000R:  49%|████▊     | 288/592 [00:01<00:01, 175.45frame/s]

   🔄 2000R:  52%|█████▏    | 306/592 [00:01<00:01, 176.61frame/s]

   🔄 2000R:  55%|█████▍    | 324/592 [00:01<00:01, 177.48frame/s]

   🔄 2000R:  58%|█████▊    | 342/592 [00:01<00:01, 177.85frame/s]

   🔄 2000R:  61%|██████    | 360/592 [00:02<00:01, 178.30frame/s]

   🔄 2000R:  64%|██████▍   | 378/592 [00:02<00:01, 178.65frame/s]

   🔄 2000R:  67%|██████▋   | 396/592 [00:02<00:01, 179.02frame/s]

   🔄 2000R:  70%|██████▉   | 414/592 [00:02<00:00, 179.25frame/s]

   🔄 2000R:  73%|███████▎  | 432/592 [00:02<00:00, 179.15frame/s]

   🔄 2000R:  76%|███████▌  | 450/592 [00:02<00:00, 178.94frame/s]

   🔄 2000R:  79%|███████▉  | 468/592 [00:02<00:00, 178.28frame/s]

   🔄 2000R:  82%|████████▏ | 486/592 [00:02<00:00, 177.31frame/s]

   🔄 2000R:  85%|████████▌ | 504/592 [00:02<00:00, 177.28frame/s]

   🔄 2000R:  88%|████████▊ | 522/592 [00:02<00:00, 176.92frame/s]

   🔄 2000R:  91%|█████████ | 540/592 [00:03<00:00, 176.04frame/s]

   🔄 2000R:  94%|█████████▍| 558/592 [00:03<00:00, 175.20frame/s]

   🔄 2000R:  97%|█████████▋| 576/592 [00:03<00:00, 174.64frame/s]

                                                                  
📁 Rigs: 100%|██████████| 4/4 [00:18<00:00,  4.71s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:18<00:00,  4.64s/rig]
[✅] Saved PTDs: /working/MDC053_W024_2026-08-26/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 2000L:  17%|█▋        | 17/100 [00:00<00:00, 169.95frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 176.08frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 177.42frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 176.95frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 175.94frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.06rig/s]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 175.46frame/s]

   🔄 1500:  37%|███▋      | 37/100 [00:00<00:00, 182.90frame/s]

   🔄 1500:  56%|█████▌    | 56/100 [00:00<00:00, 179.61frame/s]

   🔄 1500:  75%|███████▌  | 75/100 [00:00<00:00, 179.87frame/s]

   🔄 1500:  94%|█████████▍| 94/100 [00:00<00:00, 179.82frame/s]

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

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 182.09frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 181.82frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 180.48frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 182.26frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 183.10frame/s]

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

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

   🔄 2000R:  17%|█▋        | 17/100 [00:00<00:00, 168.38frame/s]

   🔄 2000R:  35%|███▌      | 35/100 [00:00<00:00, 169.98frame/s]

   🔄 2000R:  53%|█████▎    | 53/100 [00:00<00:00, 171.97frame/s]

   🔄 2000R:  71%|███████   | 71/100 [00:00<00:00, 174.05frame/s]

   🔄 2000R:  89%|████████▉ | 89/100 [00:00<00:00, 174.22frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.02rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
[✅] Saved PTDs: /working/MDC053_W024_2026-08-26/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

📤 Writing LUT:   0%|          | 0/3080448 [00:00<?, ?px/s]
📤 Writing LUT:   3%|▎         | 91397/3080448 [00:00<00:03, 913968.69px/s]
📤 Writing LUT:   6%|▋         | 195728/3080448 [00:00<00:02, 990049.55px/s]
📤 Writing LUT:  10%|▉         | 294733/3080448 [00:00<00:02, 984488.71px/s]
📤 Writing LUT:  13%|█▎        | 393186/3080448 [00:00<00:02, 961563.28px/s]
📤 Writing LUT:  16%|█▌        | 489417/3080448 [00:00<00:02, 948311.16px/s]
📤 Writing LUT:  19%|█▉        | 584307/3080448 [00:00<00:02, 936785.68px/s]
📤 Writing LUT:  22%|██▏       | 678028/3080448 [00:00<00:02, 924772.00px/s]
📤 Writing LUT:  25%|██▌       | 770540/3080448 [00:00<00:02, 909577.91px/s]
📤 Writing LUT:  28%|██▊       | 861539/3080448 [00:00<00:02, 895160.29px/s]
📤 Writing LUT:  31%|███       | 951094/3080448 [00:01<00:02, 894441.07px/s]
📤 Writing LUT:  34%|███▍      | 1040563/3080448 [00:01<00:02, 888876.78px/s]
📤 Writing LUT:  37%|███▋      | 1131434/3080448 [00:01<00:02, 894790.51px/s]
📤 Writing LUT:  40%|███▉      | 1221589/3080448 [00:01<00:02, 896807.49px/s]
📤 Writing LUT:  43%|████▎     | 1311288/3080448 [00:01<00:01, 893734.84px/s]
📤 Writing LUT:  46%|████▌     | 1402001/3080448 [00:01<00:01, 897731.66px/s]
📤 Writing LUT:  48%|████▊     | 1491787/3080448 [00:01<00:01, 894432.46px/s]
📤 Writing LUT:  51%|█████▏    | 1581433/3080448 [00:01<00:01, 895034.86px/s]
📤 Writing LUT:  54%|█████▍    | 1670944/3080448 [00:01<00:01, 888818.70px/s]
📤 Writing LUT:  57%|█████▋    | 1760845/3080448 [00:01<00:01, 891852.27px/s]
📤 Writing LUT:  60%|██████    | 1852333/3080448 [00:02<00:01, 898723.76px/s]
📤 Writing LUT:  63%|██████▎   | 1942217/3080448 [00:02<00:01, 891938.48px/s]
📤 Writing LUT:  66%|██████▌   | 2033416/3080448 [00:02<00:01, 897904.62px/s]
📤 Writing LUT:  69%|██████▉   | 2123224/3080448 [00:02<00:01, 895278.01px/s]
📤 Writing LUT:  72%|███████▏  | 2214044/3080448 [00:02<00:00, 899129.31px/s]
📤 Writing LUT:  75%|███████▍  | 2305047/3080448 [00:02<00:00, 902383.59px/s]
📤 Writing LUT:  78%|███████▊  | 2395691/3080448 [00:02<00:00, 903593.35px/s]
📤 Writing LUT:  81%|████████  | 2486451/3080448 [00:02<00:00, 904791.85px/s]
📤 Writing LUT:  84%|████████▎ | 2576936/3080448 [00:02<00:00, 900823.70px/s]
📤 Writing LUT:  87%|████████▋ | 2667348/3080448 [00:02<00:00, 901808.16px/s]
📤 Writing LUT:  90%|████████▉ | 2757535/3080448 [00:03<00:00, 900612.29px/s]
📤 Writing LUT:  92%|█████████▏| 2848810/3080448 [00:03<00:00, 904239.89px/s]
📤 Writing LUT:  95%|█████████▌| 2939250/3080448 [00:03<00:00, 904284.85px/s]
📤 Writing LUT:  98%|█████████▊| 3029682/3080448 [00:03<00:00, 902493.40px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 906192.21px/s]
[✅] LUT written to: /working/MDC053_W024_2026-08-26/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC053_W024_2026-08-26' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC053_W024_2026-08-26/calibration/MDC053_W024_2026-08-26_unknown.lut

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

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

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

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

   🔥 2000L:   1%|▏         | 8/561 [00:00<00:07, 71.72frame/s]

   🔥 2000L:   3%|▎         | 16/561 [00:00<00:07, 75.90frame/s]

   🔥 2000L:   4%|▍         | 24/561 [00:00<00:06, 77.30frame/s]

   🔥 2000L:   6%|▌         | 32/561 [00:00<00:06, 78.28frame/s]

   🔥 2000L:   7%|▋         | 41/561 [00:00<00:06, 79.32frame/s]

   🔥 2000L:   9%|▉         | 50/561 [00:00<00:06, 81.33frame/s]

   🔥 2000L:  11%|█         | 59/561 [00:00<00:06, 82.42frame/s]

   🔥 2000L:  12%|█▏        | 68/561 [00:00<00:05, 84.54frame/s]

   🔥 2000L:  14%|█▍        | 78/561 [00:00<00:05, 87.02frame/s]

   🔥 2000L:  16%|█▌        | 87/561 [00:01<00:05, 87.44frame/s]

   🔥 2000L:  17%|█▋        | 96/561 [00:01<00:05, 87.56frame/s]

   🔥 2000L:  19%|█▉        | 106/561 [00:01<00:05, 89.43frame/s]

   🔥 2000L:  21%|██        | 118/561 [00:01<00:04, 96.48frame/s]

   🔥 2000L:  23%|██▎       | 128/561 [00:01<00:04, 95.24frame/s]

   🔥 2000L:  25%|██▍       | 138/561 [00:01<00:04, 92.86frame/s]

   🔥 2000L:  26%|██▋       | 148/561 [00:01<00:04, 92.44frame/s]

   🔥 2000L:  28%|██▊       | 158/561 [00:01<00:04, 91.36frame/s]

   🔥 2000L:  30%|██▉       | 168/561 [00:01<00:04, 90.73frame/s]

   🔥 2000L:  32%|███▏      | 178/561 [00:02<00:04, 90.46frame/s]

   🔥 2000L:  34%|███▎      | 188/561 [00:02<00:04, 90.02frame/s]

   🔥 2000L:  35%|███▌      | 198/561 [00:02<00:04, 88.73frame/s]

   🔥 2000L:  37%|███▋      | 207/561 [00:02<00:04, 87.49frame/s]

   🔥 2000L:  39%|███▊      | 216/561 [00:02<00:03, 87.38frame/s]

   🔥 2000L:  40%|████      | 225/561 [00:02<00:03, 87.00frame/s]

   🔥 2000L:  42%|████▏     | 234/561 [00:02<00:03, 85.11frame/s]

   🔥 2000L:  43%|████▎     | 243/561 [00:02<00:03, 83.36frame/s]

   🔥 2000L:  45%|████▍     | 252/561 [00:02<00:03, 82.63frame/s]

   🔥 2000L:  47%|████▋     | 261/561 [00:03<00:03, 83.48frame/s]

   🔥 2000L:  48%|████▊     | 271/561 [00:03<00:03, 85.83frame/s]

   🔥 2000L:  50%|████▉     | 280/561 [00:03<00:03, 85.37frame/s]

   🔥 2000L:  52%|█████▏    | 289/561 [00:03<00:03, 83.87frame/s]

   🔥 2000L:  53%|█████▎    | 298/561 [00:03<00:03, 82.93frame/s]

   🔥 2000L:  55%|█████▍    | 307/561 [00:03<00:03, 82.65frame/s]

   🔥 2000L:  56%|█████▋    | 316/561 [00:03<00:02, 82.32frame/s]

   🔥 2000L:  58%|█████▊    | 325/561 [00:03<00:02, 82.12frame/s]

   🔥 2000L:  60%|█████▉    | 334/561 [00:03<00:02, 81.58frame/s]

   🔥 2000L:  61%|██████    | 343/561 [00:04<00:02, 81.71frame/s]

   🔥 2000L:  63%|██████▎   | 352/561 [00:04<00:02, 81.55frame/s]

   🔥 2000L:  64%|██████▍   | 361/561 [00:04<00:02, 81.43frame/s]

   🔥 2000L:  66%|██████▌   | 370/561 [00:04<00:02, 80.52frame/s]

   🔥 2000L:  68%|██████▊   | 379/561 [00:04<00:02, 79.45frame/s]

   🔥 2000L:  69%|██████▉   | 387/561 [00:04<00:02, 78.47frame/s]

   🔥 2000L:  70%|███████   | 395/561 [00:04<00:02, 77.73frame/s]

   🔥 2000L:  72%|███████▏  | 403/561 [00:04<00:02, 78.06frame/s]

   🔥 2000L:  73%|███████▎  | 412/561 [00:04<00:01, 78.94frame/s]

   🔥 2000L:  75%|███████▍  | 420/561 [00:04<00:01, 78.87frame/s]

   🔥 2000L:  76%|███████▋  | 428/561 [00:05<00:01, 77.65frame/s]

   🔥 2000L:  78%|███████▊  | 436/561 [00:05<00:01, 77.81frame/s]

   🔥 2000L:  79%|███████▉  | 445/561 [00:05<00:01, 78.68frame/s]

   🔥 2000L:  81%|████████  | 454/561 [00:05<00:01, 79.05frame/s]

   🔥 2000L:  83%|████████▎ | 463/561 [00:05<00:01, 80.17frame/s]

   🔥 2000L:  84%|████████▍ | 472/561 [00:05<00:01, 81.43frame/s]

   🔥 2000L:  86%|████████▌ | 481/561 [00:05<00:00, 82.16frame/s]

   🔥 2000L:  87%|████████▋ | 490/561 [00:05<00:00, 83.24frame/s]

   🔥 2000L:  89%|████████▉ | 499/561 [00:05<00:00, 84.13frame/s]

   🔥 2000L:  91%|█████████ | 509/561 [00:06<00:00, 87.02frame/s]

   🔥 2000L:  93%|█████████▎| 519/561 [00:06<00:00, 88.86frame/s]

   🔥 2000L:  94%|█████████▍| 528/561 [00:06<00:00, 87.28frame/s]

   🔥 2000L:  96%|█████████▌| 537/561 [00:06<00:00, 84.85frame/s]

   🔥 2000L:  97%|█████████▋| 546/561 [00:06<00:00, 83.30frame/s]

   🔥 2000L:  99%|█████████▉| 555/561 [00:06<00:00, 82.60frame/s]

                                                                 [✅] 2000L: /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:25,  8.52s/rig]

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

   🔥 1500:   2%|▏         | 9/408 [00:00<00:04, 85.07frame/s]

   🔥 1500:   5%|▍         | 19/408 [00:00<00:04, 88.37frame/s]

   🔥 1500:   7%|▋         | 28/408 [00:00<00:04, 88.75frame/s]

   🔥 1500:   9%|▉         | 38/408 [00:00<00:04, 90.54frame/s]

   🔥 1500:  12%|█▏        | 48/408 [00:00<00:03, 90.66frame/s]

   🔥 1500:  14%|█▍        | 58/408 [00:00<00:03, 90.38frame/s]

   🔥 1500:  17%|█▋        | 68/408 [00:00<00:03, 90.46frame/s]

   🔥 1500:  19%|█▉        | 78/408 [00:00<00:03, 90.99frame/s]

   🔥 1500:  22%|██▏       | 88/408 [00:00<00:03, 91.56frame/s]

   🔥 1500:  24%|██▍       | 98/408 [00:01<00:03, 88.40frame/s]

   🔥 1500:  26%|██▌       | 107/408 [00:01<00:03, 87.46frame/s]

   🔥 1500:  29%|██▉       | 118/408 [00:01<00:03, 92.05frame/s]

   🔥 1500:  31%|███▏      | 128/408 [00:01<00:03, 90.39frame/s]

   🔥 1500:  34%|███▍      | 138/408 [00:01<00:03, 89.70frame/s]

   🔥 1500:  36%|███▌      | 147/408 [00:01<00:02, 88.99frame/s]

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   🔥 1500:  40%|████      | 165/408 [00:01<00:02, 87.51frame/s]

   🔥 1500:  43%|████▎     | 174/408 [00:01<00:02, 87.65frame/s]

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   🔥 1500:  47%|████▋     | 193/408 [00:02<00:02, 88.54frame/s]

   🔥 1500:  50%|████▉     | 202/408 [00:02<00:02, 86.61frame/s]

   🔥 1500:  52%|█████▏    | 211/408 [00:02<00:02, 84.36frame/s]

   🔥 1500:  54%|█████▍    | 220/408 [00:02<00:02, 82.07frame/s]

   🔥 1500:  56%|█████▌    | 229/408 [00:02<00:02, 80.59frame/s]

   🔥 1500:  58%|█████▊    | 238/408 [00:02<00:02, 79.94frame/s]

   🔥 1500:  61%|██████    | 247/408 [00:02<00:02, 78.70frame/s]

   🔥 1500:  62%|██████▎   | 255/408 [00:02<00:01, 78.89frame/s]

   🔥 1500:  65%|██████▍   | 264/408 [00:03<00:01, 79.68frame/s]

   🔥 1500:  67%|██████▋   | 273/408 [00:03<00:01, 79.92frame/s]

   🔥 1500:  69%|██████▉   | 281/408 [00:03<00:01, 79.56frame/s]

   🔥 1500:  71%|███████   | 289/408 [00:03<00:01, 78.89frame/s]

   🔥 1500:  73%|███████▎  | 297/408 [00:03<00:01, 78.22frame/s]

   🔥 1500:  75%|███████▍  | 305/408 [00:03<00:01, 77.60frame/s]

   🔥 1500:  77%|███████▋  | 313/408 [00:03<00:01, 78.14frame/s]

   🔥 1500:  79%|███████▊  | 321/408 [00:03<00:01, 78.43frame/s]

   🔥 1500:  81%|████████  | 329/408 [00:03<00:01, 78.44frame/s]

   🔥 1500:  83%|████████▎ | 338/408 [00:04<00:00, 79.93frame/s]

   🔥 1500:  85%|████████▌ | 347/408 [00:04<00:00, 81.34frame/s]

   🔥 1500:  88%|████████▊ | 357/408 [00:04<00:00, 84.88frame/s]

   🔥 1500:  90%|████████▉ | 367/408 [00:04<00:00, 86.80frame/s]

   🔥 1500:  92%|█████████▏| 377/408 [00:04<00:00, 88.45frame/s]

   🔥 1500:  95%|█████████▍| 387/408 [00:04<00:00, 89.23frame/s]

   🔥 1500:  97%|█████████▋| 397/408 [00:04<00:00, 90.10frame/s]

   🔥 1500: 100%|█████████▉| 407/408 [00:04<00:00, 90.59frame/s]

                                                                [✅] 1500: /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/1500_heatmap_fitted.png

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

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

   🔥 1000:   4%|▎         | 9/241 [00:00<00:02, 80.56frame/s]

   🔥 1000:   7%|▋         | 18/241 [00:00<00:02, 84.43frame/s]

   🔥 1000:  11%|█         | 27/241 [00:00<00:02, 85.51frame/s]

   🔥 1000:  15%|█▌        | 37/241 [00:00<00:02, 88.00frame/s]

   🔥 1000:  20%|█▉        | 47/241 [00:00<00:02, 89.97frame/s]

   🔥 1000:  23%|██▎       | 56/241 [00:00<00:02, 89.06frame/s]

   🔥 1000:  27%|██▋       | 65/241 [00:00<00:01, 88.38frame/s]

   🔥 1000:  31%|███       | 74/241 [00:00<00:01, 88.58frame/s]

   🔥 1000:  34%|███▍      | 83/241 [00:00<00:01, 88.99frame/s]

   🔥 1000:  38%|███▊      | 92/241 [00:01<00:01, 85.85frame/s]

   🔥 1000:  42%|████▏     | 101/241 [00:01<00:01, 84.30frame/s]

   🔥 1000:  46%|████▌     | 110/241 [00:01<00:01, 83.96frame/s]

   🔥 1000:  50%|████▉     | 120/241 [00:01<00:01, 86.05frame/s]

   🔥 1000:  54%|█████▎    | 129/241 [00:01<00:01, 86.02frame/s]

   🔥 1000:  57%|█████▋    | 138/241 [00:01<00:01, 83.86frame/s]

   🔥 1000:  61%|██████    | 147/241 [00:01<00:01, 82.83frame/s]

   🔥 1000:  65%|██████▍   | 156/241 [00:01<00:01, 82.44frame/s]

   🔥 1000:  68%|██████▊   | 165/241 [00:01<00:00, 82.29frame/s]

   🔥 1000:  72%|███████▏  | 174/241 [00:02<00:00, 81.85frame/s]

   🔥 1000:  76%|███████▌  | 183/241 [00:02<00:00, 83.05frame/s]

   🔥 1000:  80%|███████▉  | 192/241 [00:02<00:00, 82.85frame/s]

   🔥 1000:  83%|████████▎ | 201/241 [00:02<00:00, 83.88frame/s]

   🔥 1000:  87%|████████▋ | 210/241 [00:02<00:00, 84.89frame/s]

   🔥 1000:  91%|█████████ | 219/241 [00:02<00:00, 85.47frame/s]

   🔥 1000:  95%|█████████▍| 228/241 [00:02<00:00, 84.76frame/s]

   🔥 1000:  98%|█████████▊| 237/241 [00:02<00:00, 85.09frame/s]

                                                                [✅] 1000: /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:18<00:05,  5.50s/rig]

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

   🔥 2000R:   1%|▏         | 8/592 [00:00<00:07, 75.62frame/s]

   🔥 2000R:   3%|▎         | 16/592 [00:00<00:07, 78.03frame/s]

   🔥 2000R:   4%|▍         | 24/592 [00:00<00:07, 78.14frame/s]

   🔥 2000R:   5%|▌         | 32/592 [00:00<00:07, 78.21frame/s]

   🔥 2000R:   7%|▋         | 40/592 [00:00<00:07, 78.11frame/s]

   🔥 2000R:   8%|▊         | 48/592 [00:00<00:06, 78.16frame/s]

   🔥 2000R:  10%|▉         | 57/592 [00:00<00:06, 78.90frame/s]

   🔥 2000R:  11%|█         | 66/592 [00:00<00:06, 79.49frame/s]

   🔥 2000R:  13%|█▎        | 75/592 [00:00<00:06, 80.26frame/s]

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   🔥 2000R:  21%|██        | 123/592 [00:01<00:05, 89.41frame/s]

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   🔥 2000R:  36%|███▌      | 213/592 [00:02<00:04, 85.68frame/s]

   🔥 2000R:  38%|███▊      | 222/592 [00:02<00:04, 85.75frame/s]

   🔥 2000R:  39%|███▉      | 231/592 [00:02<00:04, 85.73frame/s]

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   🔥 2000R:  42%|████▏     | 249/592 [00:02<00:03, 86.70frame/s]

   🔥 2000R:  44%|████▎     | 258/592 [00:03<00:03, 87.14frame/s]

   🔥 2000R:  45%|████▌     | 267/592 [00:03<00:03, 87.59frame/s]

   🔥 2000R:  47%|████▋     | 276/592 [00:03<00:03, 88.11frame/s]

   🔥 2000R:  48%|████▊     | 285/592 [00:03<00:03, 88.54frame/s]

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   🔥 2000R:  54%|█████▍    | 322/592 [00:03<00:03, 86.89frame/s]

   🔥 2000R:  56%|█████▌    | 331/592 [00:03<00:02, 87.02frame/s]

   🔥 2000R:  58%|█████▊    | 341/592 [00:03<00:02, 88.21frame/s]

   🔥 2000R:  59%|█████▉    | 350/592 [00:04<00:02, 87.70frame/s]

   🔥 2000R:  61%|██████    | 359/592 [00:04<00:02, 86.65frame/s]

   🔥 2000R:  62%|██████▏   | 368/592 [00:04<00:02, 84.63frame/s]

   🔥 2000R:  64%|██████▎   | 377/592 [00:04<00:02, 83.36frame/s]

   🔥 2000R:  65%|██████▌   | 386/592 [00:04<00:02, 82.71frame/s]

   🔥 2000R:  67%|██████▋   | 395/592 [00:04<00:02, 82.10frame/s]

   🔥 2000R:  68%|██████▊   | 404/592 [00:04<00:02, 81.72frame/s]

   🔥 2000R:  70%|██████▉   | 413/592 [00:04<00:02, 80.75frame/s]

   🔥 2000R:  71%|███████▏  | 422/592 [00:04<00:02, 80.27frame/s]

   🔥 2000R:  73%|███████▎  | 431/592 [00:05<00:02, 79.83frame/s]

   🔥 2000R:  74%|███████▍  | 439/592 [00:05<00:01, 79.80frame/s]

   🔥 2000R:  76%|███████▌  | 447/592 [00:05<00:01, 79.59frame/s]

   🔥 2000R:  77%|███████▋  | 456/592 [00:05<00:01, 80.12frame/s]

   🔥 2000R:  79%|███████▊  | 465/592 [00:05<00:01, 80.11frame/s]

   🔥 2000R:  80%|████████  | 474/592 [00:05<00:01, 79.67frame/s]

   🔥 2000R:  81%|████████▏ | 482/592 [00:05<00:01, 79.47frame/s]

   🔥 2000R:  83%|████████▎ | 491/592 [00:05<00:01, 81.55frame/s]

   🔥 2000R:  84%|████████▍ | 500/592 [00:05<00:01, 82.03frame/s]

   🔥 2000R:  86%|████████▌ | 509/592 [00:06<00:01, 82.42frame/s]

   🔥 2000R:  88%|████████▊ | 518/592 [00:06<00:00, 83.38frame/s]

   🔥 2000R:  89%|████████▉ | 527/592 [00:06<00:00, 84.13frame/s]

   🔥 2000R:  91%|█████████ | 536/592 [00:06<00:00, 83.89frame/s]

   🔥 2000R:  92%|█████████▏| 545/592 [00:06<00:00, 83.10frame/s]

   🔥 2000R:  94%|█████████▎| 554/592 [00:06<00:00, 80.62frame/s]

   🔥 2000R:  95%|█████████▌| 563/592 [00:06<00:00, 79.58frame/s]

   🔥 2000R:  96%|█████████▋| 571/592 [00:06<00:00, 79.05frame/s]

   🔥 2000R:  98%|█████████▊| 579/592 [00:06<00:00, 78.91frame/s]

   🔥 2000R:  99%|█████████▉| 587/592 [00:07<00:00, 78.83frame/s]

                                                                 [✅] 2000R: /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:27<00:00,  6.83s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:27<00:00,  6.78s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC053_W024_2026-08-26/calibration/debug/5_heatmap
[🏁] Finished processing MDC053_W024_2026-08-26


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