2026-09-13T20:44:00 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDC019_W001(6)_2026-09-04 ===
2026-09-13T20:44:00 - INFO: Camera ID: 11481089
2026-09-13T20:44:00 - INFO: Wand ID: 
2026-09-13T20:44:00 - INFO: Recorded At: 2026-09-04T13:51:29Z

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

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 982 stationary frames, 598 remain


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                                                                            [PASS2] Frame 0000771: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000772: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000773: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000774: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000784: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000785: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000786: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000789: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000917: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000918: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000920: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000921: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000931: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000932: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000933: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000934: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000951: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000954: fixed corners {1} (was_fixed=False, trusted=False)
[PASS2] Frame 0000957: fixed corners {1} (was_fixed=True, trusted=False)
[PASS2] Frame 0000959: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0001100: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001106: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001138: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000773: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000786: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000920: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000933: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000957: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Summary: 13 frames fixed, 11 untrusted, 598 total


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→ 2000L Phase 3: finalize:  92%|█████████▏| 552/598 [00:10<00:00, 55.73it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 558/598 [00:10<00:00, 55.68it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 564/598 [00:10<00:00, 55.75it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 570/598 [00:10<00:00, 55.71it/s]

→ 2000L Phase 3: finalize:  96%|█████████▋| 576/598 [00:10<00:00, 55.57it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 582/598 [00:10<00:00, 55.14it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 588/598 [00:10<00:00, 54.87it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 594/598 [00:11<00:00, 54.64it/s]

                                                                            
[TIMING] 2000L — 598 frames
  Phase 1  radial detect   (parallel)  :   8.77s  (14.7 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.10s  (6.9 ms/frame)
  Phase 2b corner fix      (sequential):   0.76s
  Phase 3  finalize        (sequential):  11.17s  (18.7 ms/frame)
    decode + undistort                 :   5.80s  (9.7 ms/frame)
    corner apply + refinement          :   2.48s  (4.2 ms/frame)
    segment                            :   2.35s  (3.9 ms/frame)
    smooth                             :   0.34s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  24.81s


Processing Rigs:  25%|██▌       | 1/4 [00:31<01:34, 31.60s/it][INFO] Filtered 713 stationary frames, 598 remain


→ 2000R (598 images) Phase 1:   0%|          | 0/598 [00:00<?, ?it/s]

→ 2000R (598 images) Phase 1:   0%|          | 1/598 [00:00<08:04,  1.23it/s]

→ 2000R (598 images) Phase 1:   6%|▌         | 33/598 [00:01<00:17, 32.94it/s]

→ 2000R (598 images) Phase 1:  10%|█         | 62/598 [00:01<00:08, 65.09it/s]

→ 2000R (598 images) Phase 1:  13%|█▎        | 78/598 [00:01<00:09, 56.02it/s]

→ 2000R (598 images) Phase 1:  16%|█▌        | 97/598 [00:02<00:09, 54.32it/s]

→ 2000R (598 images) Phase 1:  20%|██        | 121/598 [00:02<00:06, 76.97it/s]

→ 2000R (598 images) Phase 1:  23%|██▎       | 135/598 [00:02<00:07, 61.74it/s]

→ 2000R (598 images) Phase 1:  27%|██▋       | 160/598 [00:02<00:05, 85.67it/s]

→ 2000R (598 images) Phase 1:  29%|██▉       | 175/598 [00:03<00:06, 68.31it/s]

→ 2000R (598 images) Phase 1:  32%|███▏      | 193/598 [00:03<00:06, 61.62it/s]

→ 2000R (598 images) Phase 1:  36%|███▌      | 214/598 [00:03<00:04, 80.04it/s]

→ 2000R (598 images) Phase 1:  38%|███▊      | 227/598 [00:03<00:05, 62.25it/s]

→ 2000R (598 images) Phase 1:  42%|████▏     | 254/598 [00:03<00:03, 89.62it/s]

→ 2000R (598 images) Phase 1:  45%|████▍     | 269/598 [00:04<00:04, 69.12it/s]

→ 2000R (598 images) Phase 1:  47%|████▋     | 284/598 [00:04<00:03, 79.13it/s]

→ 2000R (598 images) Phase 1:  50%|████▉     | 297/598 [00:04<00:05, 58.84it/s]

→ 2000R (598 images) Phase 1:  53%|█████▎    | 319/598 [00:04<00:03, 80.43it/s]

→ 2000R (598 images) Phase 1:  56%|█████▌    | 333/598 [00:05<00:04, 64.58it/s]

→ 2000R (598 images) Phase 1:  59%|█████▉    | 353/598 [00:05<00:03, 62.40it/s]

→ 2000R (598 images) Phase 1:  61%|██████▏   | 367/598 [00:05<00:03, 72.21it/s]

→ 2000R (598 images) Phase 1:  64%|██████▍   | 385/598 [00:06<00:03, 65.07it/s]

→ 2000R (598 images) Phase 1:  66%|██████▋   | 397/598 [00:06<00:02, 72.63it/s]

→ 2000R (598 images) Phase 1:  70%|██████▉   | 417/598 [00:06<00:02, 68.25it/s]

→ 2000R (598 images) Phase 1:  71%|███████   | 426/598 [00:06<00:02, 71.45it/s]

→ 2000R (598 images) Phase 1:  75%|███████▌  | 449/598 [00:06<00:02, 70.27it/s]

→ 2000R (598 images) Phase 1:  77%|███████▋  | 459/598 [00:07<00:01, 74.57it/s]

→ 2000R (598 images) Phase 1:  80%|████████  | 481/598 [00:07<00:01, 71.27it/s]

→ 2000R (598 images) Phase 1:  82%|████████▏ | 490/598 [00:07<00:01, 73.80it/s]

→ 2000R (598 images) Phase 1:  86%|████████▌ | 513/598 [00:07<00:01, 72.73it/s]

→ 2000R (598 images) Phase 1:  87%|████████▋ | 521/598 [00:07<00:01, 73.09it/s]

→ 2000R (598 images) Phase 1:  91%|█████████ | 544/598 [00:07<00:00, 100.33it/s]

→ 2000R (598 images) Phase 1:  93%|█████████▎| 557/598 [00:08<00:00, 71.07it/s] 

→ 2000R (598 images) Phase 1:  96%|█████████▋| 577/598 [00:08<00:00, 73.79it/s]

→ 2000R (598 images) Phase 1:  99%|█████████▉| 591/598 [00:08<00:00, 83.10it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/598 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/598 [00:00<04:09,  2.39it/s]

→ 2000R Phase 2: corners:   2%|▏         | 10/598 [00:00<00:23, 24.68it/s]

→ 2000R Phase 2: corners:   4%|▍         | 24/598 [00:00<00:10, 55.22it/s]

→ 2000R Phase 2: corners:   6%|▌         | 35/598 [00:00<00:08, 69.52it/s]

→ 2000R Phase 2: corners:   8%|▊         | 49/598 [00:00<00:06, 87.37it/s]

→ 2000R Phase 2: corners:  11%|█         | 63/598 [00:00<00:05, 101.16it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 76/598 [00:01<00:04, 108.30it/s]

→ 2000R Phase 2: corners:  15%|█▍        | 89/598 [00:01<00:04, 105.43it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 102/598 [00:01<00:04, 110.61it/s]

→ 2000R Phase 2: corners:  19%|█▉        | 114/598 [00:01<00:04, 99.65it/s] 

→ 2000R Phase 2: corners:  21%|██        | 127/598 [00:01<00:04, 103.68it/s]

→ 2000R Phase 2: corners:  23%|██▎       | 140/598 [00:01<00:04, 107.01it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 153/598 [00:01<00:03, 112.42it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 165/598 [00:01<00:04, 107.52it/s]

→ 2000R Phase 2: corners:  29%|██▉       | 176/598 [00:01<00:03, 107.83it/s]

→ 2000R Phase 2: corners:  32%|███▏      | 191/598 [00:02<00:03, 117.83it/s]

→ 2000R Phase 2: corners:  34%|███▍      | 203/598 [00:02<00:04, 97.18it/s] 

→ 2000R Phase 2: corners:  36%|███▌      | 216/598 [00:02<00:03, 105.20it/s]

→ 2000R Phase 2: corners:  39%|███▉      | 233/598 [00:02<00:03, 120.75it/s]

→ 2000R Phase 2: corners:  42%|████▏     | 249/598 [00:02<00:02, 129.84it/s]

→ 2000R Phase 2: corners:  45%|████▍     | 267/598 [00:02<00:02, 141.52it/s]

→ 2000R Phase 2: corners:  47%|████▋     | 284/598 [00:02<00:02, 148.13it/s]

→ 2000R Phase 2: corners:  50%|█████     | 301/598 [00:02<00:01, 152.06it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 317/598 [00:02<00:01, 153.08it/s]

→ 2000R Phase 2: corners:  56%|█████▌    | 335/598 [00:03<00:01, 157.40it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 353/598 [00:03<00:01, 159.83it/s]

→ 2000R Phase 2: corners:  62%|██████▏   | 370/598 [00:03<00:01, 159.19it/s]

→ 2000R Phase 2: corners:  65%|██████▌   | 389/598 [00:03<00:01, 165.84it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 406/598 [00:03<00:01, 162.60it/s]

→ 2000R Phase 2: corners:  71%|███████   | 425/598 [00:03<00:01, 167.98it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 442/598 [00:03<00:00, 167.95it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 460/598 [00:03<00:00, 169.71it/s]

→ 2000R Phase 2: corners:  80%|████████  | 480/598 [00:03<00:00, 178.30it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 499/598 [00:04<00:00, 177.65it/s]

→ 2000R Phase 2: corners:  86%|████████▋ | 517/598 [00:04<00:00, 167.82it/s]

→ 2000R Phase 2: corners:  89%|████████▉ | 535/598 [00:04<00:00, 170.68it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 553/598 [00:04<00:00, 169.81it/s]

→ 2000R Phase 2: corners:  98%|█████████▊| 587/598 [00:04<00:00, 218.12it/s]

                                                                            [PASS2] Frame 0001059: fixed corners {0} (was_fixed=True, trusted=True)
[PASS2] Summary: 1 frames fixed, 1 untrusted, 598 total


→ 2000R Phase 3: finalize:   0%|          | 0/598 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   1%|          | 6/598 [00:00<00:10, 58.88it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 12/598 [00:00<00:10, 58.01it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 18/598 [00:00<00:09, 58.29it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 24/598 [00:00<00:09, 58.18it/s]

→ 2000R Phase 3: finalize:   5%|▌         | 30/598 [00:00<00:09, 58.76it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 37/598 [00:00<00:09, 59.60it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 44/598 [00:00<00:09, 60.33it/s]

→ 2000R Phase 3: finalize:   9%|▊         | 51/598 [00:00<00:08, 60.81it/s]

→ 2000R Phase 3: finalize:  10%|▉         | 58/598 [00:00<00:08, 61.19it/s]

→ 2000R Phase 3: finalize:  11%|█         | 65/598 [00:01<00:08, 61.29it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 72/598 [00:01<00:08, 61.58it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 79/598 [00:01<00:08, 61.79it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 86/598 [00:01<00:08, 61.95it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 93/598 [00:01<00:08, 60.38it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 100/598 [00:01<00:08, 58.82it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 106/598 [00:01<00:08, 57.98it/s]

→ 2000R Phase 3: finalize:  19%|█▊        | 112/598 [00:01<00:08, 57.38it/s]

→ 2000R Phase 3: finalize:  20%|█▉        | 118/598 [00:01<00:08, 56.89it/s]

→ 2000R Phase 3: finalize:  21%|██        | 124/598 [00:02<00:08, 56.64it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 130/598 [00:02<00:08, 56.39it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 136/598 [00:02<00:08, 56.29it/s]

→ 2000R Phase 3: finalize:  24%|██▎       | 142/598 [00:02<00:08, 56.18it/s]

→ 2000R Phase 3: finalize:  25%|██▍       | 148/598 [00:02<00:08, 55.98it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 154/598 [00:02<00:07, 55.91it/s]

→ 2000R Phase 3: finalize:  27%|██▋       | 160/598 [00:02<00:07, 55.82it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 166/598 [00:02<00:07, 55.82it/s]

→ 2000R Phase 3: finalize:  29%|██▉       | 172/598 [00:02<00:07, 55.77it/s]

→ 2000R Phase 3: finalize:  30%|██▉       | 178/598 [00:03<00:07, 55.60it/s]

→ 2000R Phase 3: finalize:  31%|███       | 184/598 [00:03<00:07, 55.55it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 190/598 [00:03<00:07, 55.64it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 196/598 [00:03<00:07, 55.56it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 202/598 [00:03<00:07, 55.58it/s]

→ 2000R Phase 3: finalize:  35%|███▍      | 208/598 [00:03<00:07, 55.70it/s]

→ 2000R Phase 3: finalize:  36%|███▌      | 214/598 [00:03<00:06, 55.65it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 220/598 [00:03<00:06, 55.65it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 226/598 [00:03<00:06, 55.29it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 232/598 [00:04<00:06, 55.11it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 238/598 [00:04<00:06, 55.09it/s]

→ 2000R Phase 3: finalize:  41%|████      | 244/598 [00:04<00:06, 55.08it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 250/598 [00:04<00:06, 55.06it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 256/598 [00:04<00:06, 55.11it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 262/598 [00:04<00:06, 55.02it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 268/598 [00:04<00:06, 54.89it/s]

→ 2000R Phase 3: finalize:  46%|████▌     | 274/598 [00:04<00:05, 54.85it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 280/598 [00:04<00:05, 54.72it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 286/598 [00:05<00:05, 54.62it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 292/598 [00:05<00:05, 54.33it/s]

→ 2000R Phase 3: finalize:  50%|████▉     | 298/598 [00:05<00:05, 54.06it/s]

→ 2000R Phase 3: finalize:  51%|█████     | 304/598 [00:05<00:05, 53.86it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 310/598 [00:05<00:05, 53.57it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 316/598 [00:05<00:05, 53.41it/s]

→ 2000R Phase 3: finalize:  54%|█████▍    | 322/598 [00:05<00:05, 53.10it/s]

→ 2000R Phase 3: finalize:  55%|█████▍    | 328/598 [00:05<00:05, 52.99it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 334/598 [00:05<00:04, 52.86it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 340/598 [00:06<00:04, 52.73it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 346/598 [00:06<00:04, 52.54it/s]

→ 2000R Phase 3: finalize:  59%|█████▉    | 352/598 [00:06<00:04, 52.44it/s]

→ 2000R Phase 3: finalize:  60%|█████▉    | 358/598 [00:06<00:04, 52.30it/s]

→ 2000R Phase 3: finalize:  61%|██████    | 364/598 [00:06<00:04, 52.14it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 370/598 [00:06<00:04, 52.16it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 376/598 [00:06<00:04, 52.10it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 382/598 [00:06<00:04, 52.23it/s]

→ 2000R Phase 3: finalize:  65%|██████▍   | 388/598 [00:06<00:04, 52.48it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 394/598 [00:07<00:03, 52.66it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 400/598 [00:07<00:03, 52.86it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 406/598 [00:07<00:03, 52.94it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 412/598 [00:07<00:03, 53.12it/s]

→ 2000R Phase 3: finalize:  70%|██████▉   | 418/598 [00:07<00:03, 53.17it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 424/598 [00:07<00:03, 53.17it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 430/598 [00:07<00:03, 53.12it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 436/598 [00:07<00:03, 53.19it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 442/598 [00:07<00:02, 53.27it/s]

→ 2000R Phase 3: finalize:  75%|███████▍  | 448/598 [00:08<00:02, 53.18it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 454/598 [00:08<00:02, 53.19it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 460/598 [00:08<00:02, 53.16it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 466/598 [00:08<00:02, 53.12it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 472/598 [00:08<00:02, 53.08it/s]

→ 2000R Phase 3: finalize:  80%|███████▉  | 478/598 [00:08<00:02, 53.01it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 484/598 [00:08<00:02, 52.97it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 490/598 [00:08<00:02, 53.00it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 496/598 [00:08<00:01, 52.67it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 502/598 [00:09<00:01, 52.44it/s]

→ 2000R Phase 3: finalize:  85%|████████▍ | 508/598 [00:09<00:01, 52.17it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 514/598 [00:09<00:01, 52.06it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 520/598 [00:09<00:01, 51.91it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 526/598 [00:09<00:01, 51.88it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 532/598 [00:09<00:01, 51.75it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 538/598 [00:09<00:01, 51.54it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 544/598 [00:09<00:01, 51.64it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 550/598 [00:10<00:00, 51.74it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 556/598 [00:10<00:00, 51.87it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 562/598 [00:10<00:00, 52.07it/s]

→ 2000R Phase 3: finalize:  95%|█████████▍| 568/598 [00:10<00:00, 52.12it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 574/598 [00:10<00:00, 52.29it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 580/598 [00:10<00:00, 52.49it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 586/598 [00:10<00:00, 52.64it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 592/598 [00:10<00:00, 52.70it/s]

→ 2000R Phase 3: finalize: 100%|██████████| 598/598 [00:10<00:00, 52.84it/s]

                                                                            
[TIMING] 2000R — 598 frames
  Phase 1  radial detect   (parallel)  :   8.84s  (14.8 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.58s  (7.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.24s
  Phase 3  finalize        (sequential):  10.96s  (18.3 ms/frame)
    decode + undistort                 :   5.72s  (9.6 ms/frame)
    corner apply + refinement          :   2.34s  (3.9 ms/frame)
    segment                            :   2.37s  (4.0 ms/frame)
    smooth                             :   0.33s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  24.62s


Processing Rigs:  50%|█████     | 2/4 [01:00<00:59, 29.86s/it][INFO] Filtered 546 stationary frames, 560 remain


→ 1000 (560 images) Phase 1:   0%|          | 0/560 [00:00<?, ?it/s]

→ 1000 (560 images) Phase 1:   0%|          | 1/560 [00:00<07:49,  1.19it/s]

→ 1000 (560 images) Phase 1:   5%|▌         | 29/560 [00:00<00:12, 40.93it/s]

→ 1000 (560 images) Phase 1:   8%|▊         | 44/560 [00:01<00:12, 39.83it/s]

→ 1000 (560 images) Phase 1:  12%|█▏        | 65/560 [00:01<00:10, 47.63it/s]

→ 1000 (560 images) Phase 1:  14%|█▍        | 80/560 [00:01<00:07, 60.49it/s]

→ 1000 (560 images) Phase 1:  17%|█▋        | 96/560 [00:01<00:06, 74.32it/s]

→ 1000 (560 images) Phase 1:  19%|█▉        | 108/560 [00:02<00:07, 60.39it/s]

→ 1000 (560 images) Phase 1:  23%|██▎       | 128/560 [00:02<00:05, 79.32it/s]

→ 1000 (560 images) Phase 1:  25%|██▌       | 140/560 [00:02<00:06, 62.46it/s]

→ 1000 (560 images) Phase 1:  29%|██▊       | 160/560 [00:02<00:04, 81.63it/s]

→ 1000 (560 images) Phase 1:  31%|███       | 172/560 [00:03<00:06, 64.00it/s]

→ 1000 (560 images) Phase 1:  34%|███▍      | 191/560 [00:03<00:04, 83.08it/s]

→ 1000 (560 images) Phase 1:  36%|███▋      | 203/560 [00:03<00:05, 62.02it/s]

→ 1000 (560 images) Phase 1:  40%|████      | 224/560 [00:03<00:04, 83.51it/s]

→ 1000 (560 images) Phase 1:  42%|████▏     | 237/560 [00:03<00:05, 64.51it/s]

→ 1000 (560 images) Phase 1:  46%|████▌     | 257/560 [00:04<00:04, 64.39it/s]

→ 1000 (560 images) Phase 1:  48%|████▊     | 266/560 [00:04<00:04, 67.70it/s]

→ 1000 (560 images) Phase 1:  51%|█████▏    | 287/560 [00:04<00:02, 91.19it/s]

→ 1000 (560 images) Phase 1:  54%|█████▎    | 300/560 [00:04<00:03, 67.22it/s]

→ 1000 (560 images) Phase 1:  57%|█████▋    | 320/560 [00:04<00:02, 85.94it/s]

→ 1000 (560 images) Phase 1:  59%|█████▉    | 333/560 [00:05<00:03, 67.36it/s]

→ 1000 (560 images) Phase 1:  63%|██████▎   | 352/560 [00:05<00:02, 85.73it/s]

→ 1000 (560 images) Phase 1:  65%|██████▌   | 365/560 [00:05<00:02, 65.38it/s]

→ 1000 (560 images) Phase 1:  69%|██████▉   | 385/560 [00:06<00:02, 65.20it/s]

→ 1000 (560 images) Phase 1:  70%|███████   | 394/560 [00:06<00:02, 67.99it/s]

→ 1000 (560 images) Phase 1:  74%|███████▍  | 416/560 [00:06<00:01, 91.10it/s]

→ 1000 (560 images) Phase 1:  76%|███████▋  | 428/560 [00:06<00:01, 67.03it/s]

→ 1000 (560 images) Phase 1:  80%|████████  | 449/560 [00:06<00:01, 66.89it/s]

→ 1000 (560 images) Phase 1:  82%|████████▏ | 458/560 [00:07<00:01, 68.83it/s]

→ 1000 (560 images) Phase 1:  86%|████████▌ | 480/560 [00:07<00:00, 93.94it/s]

→ 1000 (560 images) Phase 1:  88%|████████▊ | 493/560 [00:07<00:00, 68.87it/s]

→ 1000 (560 images) Phase 1:  92%|█████████▏| 513/560 [00:07<00:00, 68.11it/s]

→ 1000 (560 images) Phase 1:  93%|█████████▎| 522/560 [00:07<00:00, 69.52it/s]

→ 1000 (560 images) Phase 1:  97%|█████████▋| 545/560 [00:08<00:00, 78.08it/s]

→ 1000 (560 images) Phase 1: 100%|█████████▉| 559/560 [00:08<00:00, 85.00it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/560 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/560 [00:00<04:28,  2.08it/s]

→ 1000 Phase 2: corners:   2%|▏         | 13/560 [00:00<00:19, 28.67it/s]

→ 1000 Phase 2: corners:   4%|▍         | 23/560 [00:00<00:11, 46.03it/s]

→ 1000 Phase 2: corners:   6%|▋         | 35/560 [00:00<00:08, 63.64it/s]

→ 1000 Phase 2: corners:   9%|▉         | 50/560 [00:00<00:05, 86.22it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 66/560 [00:01<00:04, 105.81it/s]

→ 1000 Phase 2: corners:  14%|█▍        | 79/560 [00:01<00:04, 110.06it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 93/560 [00:01<00:03, 117.75it/s]

→ 1000 Phase 2: corners:  19%|█▉        | 106/560 [00:01<00:03, 118.08it/s]

→ 1000 Phase 2: corners:  21%|██▏       | 120/560 [00:01<00:03, 122.62it/s]

→ 1000 Phase 2: corners:  24%|██▍       | 133/560 [00:01<00:03, 112.21it/s]

→ 1000 Phase 2: corners:  27%|██▋       | 151/560 [00:01<00:03, 127.10it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 165/560 [00:01<00:03, 127.62it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 179/560 [00:01<00:03, 124.01it/s]

→ 1000 Phase 2: corners:  35%|███▍      | 195/560 [00:02<00:02, 131.80it/s]

→ 1000 Phase 2: corners:  38%|███▊      | 211/560 [00:02<00:02, 138.54it/s]

→ 1000 Phase 2: corners:  41%|████▏     | 231/560 [00:02<00:02, 155.63it/s]

→ 1000 Phase 2: corners:  44%|████▍     | 247/560 [00:02<00:02, 150.99it/s]

→ 1000 Phase 2: corners:  47%|████▋     | 263/560 [00:02<00:01, 153.37it/s]

→ 1000 Phase 2: corners:  50%|█████     | 280/560 [00:02<00:01, 154.24it/s]

→ 1000 Phase 2: corners:  54%|█████▎    | 300/560 [00:02<00:01, 165.68it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 317/560 [00:02<00:01, 166.57it/s]

→ 1000 Phase 2: corners:  60%|█████▉    | 334/560 [00:02<00:01, 165.22it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 352/560 [00:02<00:01, 168.00it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 369/560 [00:03<00:01, 167.55it/s]

→ 1000 Phase 2: corners:  69%|██████▉   | 386/560 [00:03<00:01, 164.74it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 405/560 [00:03<00:00, 168.84it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 424/560 [00:03<00:00, 173.69it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 442/560 [00:03<00:00, 171.54it/s]

→ 1000 Phase 2: corners:  82%|████████▏ | 461/560 [00:03<00:00, 175.89it/s]

→ 1000 Phase 2: corners:  86%|████████▌ | 479/560 [00:03<00:00, 167.70it/s]

→ 1000 Phase 2: corners:  89%|████████▊ | 496/560 [00:03<00:00, 165.63it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 515/560 [00:03<00:00, 168.29it/s]

→ 1000 Phase 2: corners:  97%|█████████▋| 542/560 [00:04<00:00, 196.81it/s]

                                                                           [PASS2] Frame 0000414: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000415: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000416: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000417: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000416: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 3 untrusted, 560 total


→ 1000 Phase 3: finalize:   0%|          | 0/560 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   1%|▏         | 7/560 [00:00<00:08, 62.89it/s]

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→ 1000 Phase 3: finalize:   9%|▉         | 49/560 [00:00<00:08, 61.92it/s]

→ 1000 Phase 3: finalize:  10%|█         | 56/560 [00:00<00:08, 62.11it/s]

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→ 1000 Phase 3: finalize:  12%|█▎        | 70/560 [00:01<00:07, 62.32it/s]

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→ 1000 Phase 3: finalize:  21%|██        | 116/560 [00:01<00:07, 56.67it/s]

→ 1000 Phase 3: finalize:  22%|██▏       | 122/560 [00:02<00:07, 56.22it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 128/560 [00:02<00:07, 55.87it/s]

→ 1000 Phase 3: finalize:  24%|██▍       | 134/560 [00:02<00:07, 55.67it/s]

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→ 1000 Phase 3: finalize:  26%|██▌       | 146/560 [00:02<00:07, 55.47it/s]

→ 1000 Phase 3: finalize:  27%|██▋       | 152/560 [00:02<00:07, 55.41it/s]

→ 1000 Phase 3: finalize:  28%|██▊       | 158/560 [00:02<00:07, 55.38it/s]

→ 1000 Phase 3: finalize:  29%|██▉       | 164/560 [00:02<00:07, 55.38it/s]

→ 1000 Phase 3: finalize:  30%|███       | 170/560 [00:02<00:07, 55.24it/s]

→ 1000 Phase 3: finalize:  31%|███▏      | 176/560 [00:03<00:06, 55.15it/s]

→ 1000 Phase 3: finalize:  32%|███▎      | 182/560 [00:03<00:06, 54.99it/s]

→ 1000 Phase 3: finalize:  34%|███▎      | 188/560 [00:03<00:06, 54.84it/s]

→ 1000 Phase 3: finalize:  35%|███▍      | 194/560 [00:03<00:06, 54.77it/s]

→ 1000 Phase 3: finalize:  36%|███▌      | 200/560 [00:03<00:06, 54.60it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 206/560 [00:03<00:06, 54.75it/s]

→ 1000 Phase 3: finalize:  38%|███▊      | 212/560 [00:03<00:06, 55.01it/s]

→ 1000 Phase 3: finalize:  39%|███▉      | 218/560 [00:03<00:06, 55.36it/s]

→ 1000 Phase 3: finalize:  40%|████      | 224/560 [00:03<00:06, 55.41it/s]

→ 1000 Phase 3: finalize:  41%|████      | 230/560 [00:03<00:05, 55.72it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 236/560 [00:04<00:05, 56.00it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 242/560 [00:04<00:05, 56.18it/s]

→ 1000 Phase 3: finalize:  44%|████▍     | 248/560 [00:04<00:05, 56.41it/s]

→ 1000 Phase 3: finalize:  45%|████▌     | 254/560 [00:04<00:05, 56.58it/s]

→ 1000 Phase 3: finalize:  46%|████▋     | 260/560 [00:04<00:05, 56.66it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 266/560 [00:04<00:05, 56.63it/s]

→ 1000 Phase 3: finalize:  49%|████▊     | 272/560 [00:04<00:05, 56.61it/s]

→ 1000 Phase 3: finalize:  50%|████▉     | 278/560 [00:04<00:04, 56.62it/s]

→ 1000 Phase 3: finalize:  51%|█████     | 284/560 [00:04<00:04, 56.67it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 290/560 [00:05<00:04, 56.69it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 296/560 [00:05<00:04, 56.70it/s]

→ 1000 Phase 3: finalize:  54%|█████▍    | 302/560 [00:05<00:04, 56.61it/s]

→ 1000 Phase 3: finalize:  55%|█████▌    | 308/560 [00:05<00:04, 56.56it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 314/560 [00:05<00:04, 56.48it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 320/560 [00:05<00:04, 56.51it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 326/560 [00:05<00:04, 56.40it/s]

→ 1000 Phase 3: finalize:  59%|█████▉    | 332/560 [00:05<00:04, 56.43it/s]

→ 1000 Phase 3: finalize:  60%|██████    | 338/560 [00:05<00:03, 56.38it/s]

→ 1000 Phase 3: finalize:  61%|██████▏   | 344/560 [00:06<00:03, 56.35it/s]

→ 1000 Phase 3: finalize:  62%|██████▎   | 350/560 [00:06<00:03, 56.26it/s]

→ 1000 Phase 3: finalize:  64%|██████▎   | 356/560 [00:06<00:03, 55.90it/s]

→ 1000 Phase 3: finalize:  65%|██████▍   | 362/560 [00:06<00:03, 55.28it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 368/560 [00:06<00:03, 54.73it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 374/560 [00:06<00:03, 54.27it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 380/560 [00:06<00:03, 54.22it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 386/560 [00:06<00:03, 54.39it/s]

→ 1000 Phase 3: finalize:  70%|███████   | 392/560 [00:06<00:03, 54.44it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 398/560 [00:06<00:02, 54.65it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 404/560 [00:07<00:02, 54.70it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 410/560 [00:07<00:02, 54.75it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 416/560 [00:07<00:02, 54.87it/s]

→ 1000 Phase 3: finalize:  75%|███████▌  | 422/560 [00:07<00:02, 54.91it/s]

→ 1000 Phase 3: finalize:  76%|███████▋  | 428/560 [00:07<00:02, 54.98it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 434/560 [00:07<00:02, 55.08it/s]

→ 1000 Phase 3: finalize:  79%|███████▊  | 440/560 [00:07<00:02, 55.03it/s]

→ 1000 Phase 3: finalize:  80%|███████▉  | 446/560 [00:07<00:02, 55.10it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 452/560 [00:07<00:01, 55.13it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 458/560 [00:08<00:01, 55.31it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 464/560 [00:08<00:01, 55.38it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 470/560 [00:08<00:01, 55.31it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 476/560 [00:08<00:01, 55.24it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 482/560 [00:08<00:01, 55.21it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 488/560 [00:08<00:01, 55.29it/s]

→ 1000 Phase 3: finalize:  88%|████████▊ | 494/560 [00:08<00:01, 55.40it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 500/560 [00:08<00:01, 55.41it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 506/560 [00:08<00:00, 55.40it/s]

→ 1000 Phase 3: finalize:  91%|█████████▏| 512/560 [00:09<00:00, 55.36it/s]

→ 1000 Phase 3: finalize:  92%|█████████▎| 518/560 [00:09<00:00, 55.01it/s]

→ 1000 Phase 3: finalize:  94%|█████████▎| 524/560 [00:09<00:00, 55.86it/s]

→ 1000 Phase 3: finalize:  95%|█████████▍| 530/560 [00:09<00:00, 55.65it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 536/560 [00:09<00:00, 55.50it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 542/560 [00:09<00:00, 55.31it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 548/560 [00:09<00:00, 55.11it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 554/560 [00:09<00:00, 55.05it/s]

→ 1000 Phase 3: finalize: 100%|██████████| 560/560 [00:09<00:00, 54.92it/s]

                                                                           
[TIMING] 1000 — 560 frames
  Phase 1  radial detect   (parallel)  :   8.34s  (14.9 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.13s  (7.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.39s
  Phase 3  finalize        (sequential):   9.93s  (17.7 ms/frame)
    decode + undistort                 :   5.31s  (9.5 ms/frame)
    corner apply + refinement          :   1.96s  (3.5 ms/frame)
    segment                            :   2.18s  (3.9 ms/frame)
    smooth                             :   0.30s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  22.79s


Processing Rigs:  75%|███████▌  | 3/4 [01:26<00:28, 28.24s/it][INFO] Filtered 664 stationary frames, 875 remain


→ 1500 (875 images) Phase 1:   0%|          | 0/875 [00:00<?, ?it/s]

→ 1500 (875 images) Phase 1:   0%|          | 1/875 [00:01<15:40,  1.08s/it]

→ 1500 (875 images) Phase 1:   2%|▏         | 21/875 [00:01<00:35, 24.00it/s]

→ 1500 (875 images) Phase 1:   4%|▍         | 33/875 [00:01<00:27, 30.37it/s]

→ 1500 (875 images) Phase 1:   6%|▌         | 51/875 [00:01<00:16, 51.24it/s]

→ 1500 (875 images) Phase 1:   7%|▋         | 63/875 [00:01<00:13, 61.33it/s]

→ 1500 (875 images) Phase 1:   9%|▊         | 75/875 [00:01<00:15, 52.26it/s]

→ 1500 (875 images) Phase 1:  10%|▉         | 86/875 [00:02<00:12, 61.14it/s]

→ 1500 (875 images) Phase 1:  11%|█         | 97/875 [00:02<00:14, 55.48it/s]

→ 1500 (875 images) Phase 1:  13%|█▎        | 110/875 [00:02<00:11, 68.12it/s]

→ 1500 (875 images) Phase 1:  14%|█▎        | 120/875 [00:02<00:10, 74.38it/s]

→ 1500 (875 images) Phase 1:  15%|█▍        | 130/875 [00:02<00:12, 61.03it/s]

→ 1500 (875 images) Phase 1:  16%|█▋        | 144/875 [00:02<00:09, 75.16it/s]

→ 1500 (875 images) Phase 1:  18%|█▊        | 154/875 [00:02<00:08, 80.17it/s]

→ 1500 (875 images) Phase 1:  19%|█▊        | 164/875 [00:03<00:11, 61.07it/s]

→ 1500 (875 images) Phase 1:  21%|██        | 180/875 [00:03<00:08, 79.48it/s]

→ 1500 (875 images) Phase 1:  22%|██▏       | 193/875 [00:03<00:10, 65.55it/s]

→ 1500 (875 images) Phase 1:  24%|██▎       | 206/875 [00:03<00:08, 75.76it/s]

→ 1500 (875 images) Phase 1:  25%|██▍       | 217/875 [00:03<00:08, 79.32it/s]

→ 1500 (875 images) Phase 1:  26%|██▌       | 227/875 [00:04<00:10, 63.87it/s]

→ 1500 (875 images) Phase 1:  28%|██▊       | 241/875 [00:04<00:08, 77.32it/s]

→ 1500 (875 images) Phase 1:  29%|██▉       | 254/875 [00:04<00:07, 87.70it/s]

→ 1500 (875 images) Phase 1:  30%|███       | 265/875 [00:04<00:09, 66.77it/s]

→ 1500 (875 images) Phase 1:  32%|███▏      | 278/875 [00:04<00:07, 78.87it/s]

→ 1500 (875 images) Phase 1:  33%|███▎      | 289/875 [00:04<00:09, 61.67it/s]

→ 1500 (875 images) Phase 1:  35%|███▍      | 305/875 [00:05<00:07, 79.15it/s]

→ 1500 (875 images) Phase 1:  36%|███▌      | 316/875 [00:05<00:06, 84.02it/s]

→ 1500 (875 images) Phase 1:  37%|███▋      | 327/875 [00:05<00:08, 63.64it/s]

→ 1500 (875 images) Phase 1:  39%|███▉      | 340/875 [00:05<00:07, 75.19it/s]

→ 1500 (875 images) Phase 1:  40%|████      | 353/875 [00:05<00:08, 63.19it/s]

→ 1500 (875 images) Phase 1:  42%|████▏     | 369/875 [00:05<00:06, 78.77it/s]

→ 1500 (875 images) Phase 1:  43%|████▎     | 380/875 [00:06<00:05, 84.04it/s]

→ 1500 (875 images) Phase 1:  45%|████▍     | 391/875 [00:06<00:07, 64.13it/s]

→ 1500 (875 images) Phase 1:  46%|████▋     | 405/875 [00:06<00:06, 77.35it/s]

→ 1500 (875 images) Phase 1:  48%|████▊     | 417/875 [00:06<00:07, 64.35it/s]

→ 1500 (875 images) Phase 1:  49%|████▉     | 429/875 [00:06<00:05, 74.36it/s]

→ 1500 (875 images) Phase 1:  51%|█████     | 444/875 [00:06<00:04, 87.40it/s]

→ 1500 (875 images) Phase 1:  52%|█████▏    | 455/875 [00:07<00:06, 66.25it/s]

→ 1500 (875 images) Phase 1:  54%|█████▎    | 469/875 [00:07<00:05, 78.34it/s]

→ 1500 (875 images) Phase 1:  55%|█████▍    | 480/875 [00:07<00:04, 80.88it/s]

→ 1500 (875 images) Phase 1:  56%|█████▌    | 490/875 [00:07<00:05, 64.29it/s]

→ 1500 (875 images) Phase 1:  58%|█████▊    | 507/875 [00:07<00:04, 83.81it/s]

→ 1500 (875 images) Phase 1:  59%|█████▉    | 518/875 [00:08<00:05, 64.71it/s]

→ 1500 (875 images) Phase 1:  61%|██████    | 533/875 [00:08<00:04, 77.73it/s]

→ 1500 (875 images) Phase 1:  62%|██████▏   | 544/875 [00:08<00:04, 76.52it/s]

→ 1500 (875 images) Phase 1:  63%|██████▎   | 554/875 [00:08<00:04, 64.84it/s]

→ 1500 (875 images) Phase 1:  65%|██████▍   | 568/875 [00:08<00:03, 79.13it/s]

→ 1500 (875 images) Phase 1:  66%|██████▌   | 578/875 [00:08<00:04, 61.43it/s]

→ 1500 (875 images) Phase 1:  68%|██████▊   | 591/875 [00:09<00:03, 73.89it/s]

→ 1500 (875 images) Phase 1:  69%|██████▉   | 607/875 [00:09<00:02, 89.87it/s]

→ 1500 (875 images) Phase 1:  71%|███████   | 618/875 [00:09<00:03, 65.24it/s]

→ 1500 (875 images) Phase 1:  72%|███████▏  | 632/875 [00:09<00:03, 78.73it/s]

→ 1500 (875 images) Phase 1:  73%|███████▎  | 643/875 [00:09<00:03, 64.31it/s]

→ 1500 (875 images) Phase 1:  75%|███████▍  | 654/875 [00:09<00:03, 70.88it/s]

→ 1500 (875 images) Phase 1:  77%|███████▋  | 671/875 [00:10<00:02, 90.38it/s]

→ 1500 (875 images) Phase 1:  78%|███████▊  | 683/875 [00:10<00:02, 67.71it/s]

→ 1500 (875 images) Phase 1:  80%|███████▉  | 696/875 [00:10<00:02, 78.79it/s]

→ 1500 (875 images) Phase 1:  81%|████████  | 707/875 [00:10<00:02, 65.19it/s]

→ 1500 (875 images) Phase 1:  82%|████████▏ | 717/875 [00:10<00:02, 71.47it/s]

→ 1500 (875 images) Phase 1:  84%|████████▎ | 732/875 [00:10<00:01, 84.66it/s]

→ 1500 (875 images) Phase 1:  85%|████████▍ | 743/875 [00:11<00:02, 65.50it/s]

→ 1500 (875 images) Phase 1:  86%|████████▋ | 755/875 [00:11<00:01, 75.41it/s]

→ 1500 (875 images) Phase 1:  88%|████████▊ | 767/875 [00:11<00:01, 83.09it/s]

→ 1500 (875 images) Phase 1:  89%|████████▉ | 777/875 [00:11<00:01, 65.75it/s]

→ 1500 (875 images) Phase 1:  91%|█████████ | 793/875 [00:11<00:00, 83.63it/s]

→ 1500 (875 images) Phase 1:  92%|█████████▏| 804/875 [00:11<00:01, 64.52it/s]

→ 1500 (875 images) Phase 1:  93%|█████████▎| 814/875 [00:12<00:00, 69.88it/s]

→ 1500 (875 images) Phase 1:  95%|█████████▍| 830/875 [00:12<00:00, 86.21it/s]

→ 1500 (875 images) Phase 1:  96%|█████████▌| 841/875 [00:12<00:00, 67.33it/s]

→ 1500 (875 images) Phase 1:  98%|█████████▊| 857/875 [00:12<00:00, 84.11it/s]

→ 1500 (875 images) Phase 1:  99%|█████████▉| 868/875 [00:12<00:00, 78.45it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/875 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/875 [00:00<07:57,  1.83it/s]

→ 1500 Phase 2: corners:   2%|▏         | 16/875 [00:00<00:26, 32.42it/s]

→ 1500 Phase 2: corners:   4%|▎         | 32/875 [00:00<00:14, 59.41it/s]

→ 1500 Phase 2: corners:   5%|▌         | 46/875 [00:00<00:10, 77.50it/s]

→ 1500 Phase 2: corners:   7%|▋         | 61/875 [00:00<00:08, 94.23it/s]

→ 1500 Phase 2: corners:   8%|▊         | 74/875 [00:01<00:08, 95.34it/s]

→ 1500 Phase 2: corners:  10%|▉         | 86/875 [00:01<00:07, 99.73it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 102/875 [00:01<00:06, 114.19it/s]

→ 1500 Phase 2: corners:  13%|█▎        | 116/875 [00:01<00:06, 120.74it/s]

→ 1500 Phase 2: corners:  15%|█▌        | 132/875 [00:01<00:05, 129.24it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 148/875 [00:01<00:05, 136.54it/s]

→ 1500 Phase 2: corners:  19%|█▊        | 163/875 [00:01<00:05, 134.96it/s]

→ 1500 Phase 2: corners:  20%|██        | 177/875 [00:01<00:05, 132.47it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 198/875 [00:01<00:04, 152.48it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 214/875 [00:02<00:04, 154.29it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 232/875 [00:02<00:04, 155.01it/s]

→ 1500 Phase 2: corners:  28%|██▊       | 248/875 [00:02<00:04, 145.23it/s]

→ 1500 Phase 2: corners:  30%|███       | 263/875 [00:02<00:04, 139.37it/s]

→ 1500 Phase 2: corners:  32%|███▏      | 279/875 [00:02<00:04, 144.52it/s]

→ 1500 Phase 2: corners:  34%|███▍      | 297/875 [00:02<00:03, 151.77it/s]

→ 1500 Phase 2: corners:  36%|███▌      | 313/875 [00:02<00:03, 148.35it/s]

→ 1500 Phase 2: corners:  38%|███▊      | 331/875 [00:02<00:03, 152.98it/s]

→ 1500 Phase 2: corners:  40%|███▉      | 347/875 [00:02<00:03, 140.74it/s]

→ 1500 Phase 2: corners:  41%|████▏     | 362/875 [00:03<00:03, 131.48it/s]

→ 1500 Phase 2: corners:  43%|████▎     | 380/875 [00:03<00:03, 142.03it/s]

→ 1500 Phase 2: corners:  45%|████▌     | 395/875 [00:03<00:03, 137.54it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 409/875 [00:03<00:03, 133.73it/s]

→ 1500 Phase 2: corners:  48%|████▊     | 424/875 [00:03<00:03, 136.42it/s]

→ 1500 Phase 2: corners:  50%|█████     | 438/875 [00:03<00:03, 135.49it/s]

→ 1500 Phase 2: corners:  52%|█████▏    | 452/875 [00:03<00:03, 135.40it/s]

→ 1500 Phase 2: corners:  54%|█████▎    | 469/875 [00:03<00:02, 143.85it/s]

→ 1500 Phase 2: corners:  55%|█████▌    | 485/875 [00:03<00:02, 146.71it/s]

→ 1500 Phase 2: corners:  57%|█████▋    | 500/875 [00:04<00:02, 146.86it/s]

→ 1500 Phase 2: corners:  59%|█████▉    | 516/875 [00:04<00:02, 150.00it/s]

→ 1500 Phase 2: corners:  61%|██████    | 532/875 [00:04<00:02, 149.75it/s]

→ 1500 Phase 2: corners:  63%|██████▎   | 550/875 [00:04<00:02, 156.14it/s]

→ 1500 Phase 2: corners:  65%|██████▍   | 567/875 [00:04<00:01, 157.85it/s]

→ 1500 Phase 2: corners:  67%|██████▋   | 583/875 [00:04<00:01, 151.22it/s]

→ 1500 Phase 2: corners:  68%|██████▊   | 599/875 [00:04<00:01, 144.51it/s]

→ 1500 Phase 2: corners:  70%|███████   | 614/875 [00:04<00:01, 138.25it/s]

→ 1500 Phase 2: corners:  72%|███████▏  | 632/875 [00:04<00:01, 149.12it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 649/875 [00:05<00:01, 153.89it/s]

→ 1500 Phase 2: corners:  76%|███████▋  | 669/875 [00:05<00:01, 165.03it/s]

→ 1500 Phase 2: corners:  79%|███████▊  | 688/875 [00:05<00:01, 170.43it/s]

→ 1500 Phase 2: corners:  81%|████████  | 706/875 [00:05<00:01, 167.69it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 723/875 [00:05<00:00, 160.07it/s]

→ 1500 Phase 2: corners:  85%|████████▍ | 742/875 [00:05<00:00, 164.74it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 760/875 [00:05<00:00, 166.39it/s]

→ 1500 Phase 2: corners:  89%|████████▉ | 779/875 [00:05<00:00, 171.56it/s]

→ 1500 Phase 2: corners:  91%|█████████▏| 799/875 [00:05<00:00, 177.70it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 817/875 [00:06<00:00, 166.05it/s]

→ 1500 Phase 2: corners:  95%|█████████▌| 834/875 [00:06<00:00, 165.84it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 0 untrusted, 875 total


→ 1500 Phase 3: finalize:   0%|          | 0/875 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 6/875 [00:00<00:14, 57.94it/s]

→ 1500 Phase 3: finalize:   1%|▏         | 12/875 [00:00<00:14, 58.23it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 19/875 [00:00<00:14, 59.41it/s]

→ 1500 Phase 3: finalize:   3%|▎         | 26/875 [00:00<00:14, 59.93it/s]

→ 1500 Phase 3: finalize:   4%|▍         | 33/875 [00:00<00:13, 60.20it/s]

→ 1500 Phase 3: finalize:   5%|▍         | 40/875 [00:00<00:13, 60.56it/s]

→ 1500 Phase 3: finalize:   5%|▌         | 47/875 [00:00<00:13, 60.84it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 54/875 [00:00<00:13, 61.11it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 61/875 [00:01<00:13, 61.31it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 68/875 [00:01<00:13, 61.49it/s]

→ 1500 Phase 3: finalize:   9%|▊         | 75/875 [00:01<00:12, 61.66it/s]

→ 1500 Phase 3: finalize:   9%|▉         | 82/875 [00:01<00:12, 61.85it/s]

→ 1500 Phase 3: finalize:  10%|█         | 89/875 [00:01<00:13, 60.16it/s]

→ 1500 Phase 3: finalize:  11%|█         | 96/875 [00:01<00:13, 58.47it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 102/875 [00:01<00:13, 57.50it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 108/875 [00:01<00:13, 56.81it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 114/875 [00:01<00:13, 56.37it/s]

→ 1500 Phase 3: finalize:  14%|█▎        | 120/875 [00:02<00:13, 56.05it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 126/875 [00:02<00:13, 55.84it/s]

→ 1500 Phase 3: finalize:  15%|█▌        | 132/875 [00:02<00:13, 55.63it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 138/875 [00:02<00:13, 55.47it/s]

→ 1500 Phase 3: finalize:  16%|█▋        | 144/875 [00:02<00:13, 55.11it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 150/875 [00:02<00:13, 55.02it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 156/875 [00:02<00:13, 55.13it/s]

→ 1500 Phase 3: finalize:  19%|█▊        | 162/875 [00:02<00:13, 54.68it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 168/875 [00:02<00:12, 54.83it/s]

→ 1500 Phase 3: finalize:  20%|█▉        | 174/875 [00:03<00:12, 54.89it/s]

→ 1500 Phase 3: finalize:  21%|██        | 180/875 [00:03<00:12, 54.75it/s]

→ 1500 Phase 3: finalize:  21%|██▏       | 186/875 [00:03<00:12, 54.62it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 192/875 [00:03<00:12, 54.58it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 198/875 [00:03<00:12, 54.60it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 204/875 [00:03<00:12, 54.76it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 210/875 [00:03<00:12, 54.86it/s]

→ 1500 Phase 3: finalize:  25%|██▍       | 216/875 [00:03<00:11, 54.94it/s]

→ 1500 Phase 3: finalize:  25%|██▌       | 222/875 [00:03<00:11, 55.00it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 228/875 [00:04<00:11, 54.95it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 234/875 [00:04<00:11, 54.96it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 240/875 [00:04<00:11, 54.89it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 246/875 [00:04<00:11, 54.87it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 252/875 [00:04<00:11, 54.82it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 258/875 [00:04<00:11, 54.70it/s]

→ 1500 Phase 3: finalize:  30%|███       | 264/875 [00:04<00:11, 54.61it/s]

→ 1500 Phase 3: finalize:  31%|███       | 270/875 [00:04<00:11, 54.61it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 276/875 [00:04<00:10, 54.48it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 282/875 [00:04<00:10, 54.39it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 288/875 [00:05<00:10, 54.28it/s]

→ 1500 Phase 3: finalize:  34%|███▎      | 294/875 [00:05<00:10, 54.24it/s]

→ 1500 Phase 3: finalize:  34%|███▍      | 300/875 [00:05<00:10, 54.11it/s]

→ 1500 Phase 3: finalize:  35%|███▍      | 306/875 [00:05<00:10, 54.02it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 312/875 [00:05<00:10, 53.89it/s]

→ 1500 Phase 3: finalize:  36%|███▋      | 318/875 [00:05<00:10, 53.78it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 324/875 [00:05<00:10, 53.77it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 330/875 [00:05<00:10, 53.94it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 336/875 [00:05<00:09, 54.18it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 342/875 [00:06<00:09, 54.43it/s]

→ 1500 Phase 3: finalize:  40%|███▉      | 348/875 [00:06<00:09, 54.59it/s]

→ 1500 Phase 3: finalize:  40%|████      | 354/875 [00:06<00:09, 54.72it/s]

→ 1500 Phase 3: finalize:  41%|████      | 360/875 [00:06<00:09, 54.83it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 366/875 [00:06<00:09, 54.88it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 372/875 [00:06<00:09, 54.87it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 378/875 [00:06<00:09, 54.94it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 384/875 [00:06<00:08, 55.04it/s]

→ 1500 Phase 3: finalize:  45%|████▍     | 390/875 [00:06<00:08, 55.02it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 396/875 [00:07<00:08, 55.05it/s]

→ 1500 Phase 3: finalize:  46%|████▌     | 402/875 [00:07<00:08, 55.12it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 408/875 [00:07<00:08, 55.11it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 414/875 [00:07<00:08, 54.99it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 420/875 [00:07<00:08, 55.01it/s]

→ 1500 Phase 3: finalize:  49%|████▊     | 426/875 [00:07<00:08, 55.01it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 432/875 [00:07<00:08, 54.97it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 438/875 [00:07<00:07, 54.97it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 444/875 [00:07<00:07, 54.98it/s]

→ 1500 Phase 3: finalize:  51%|█████▏    | 450/875 [00:08<00:07, 54.99it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 456/875 [00:08<00:07, 54.97it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 462/875 [00:08<00:07, 54.80it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 468/875 [00:08<00:07, 54.70it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 474/875 [00:08<00:07, 54.69it/s]

→ 1500 Phase 3: finalize:  55%|█████▍    | 480/875 [00:08<00:07, 54.65it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 486/875 [00:08<00:07, 54.68it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 492/875 [00:08<00:06, 54.73it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 498/875 [00:08<00:06, 54.69it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 504/875 [00:09<00:06, 54.72it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 510/875 [00:09<00:06, 54.79it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 516/875 [00:09<00:06, 54.90it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 522/875 [00:09<00:06, 54.96it/s]

→ 1500 Phase 3: finalize:  60%|██████    | 528/875 [00:09<00:06, 54.85it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 534/875 [00:09<00:06, 54.70it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 540/875 [00:09<00:06, 54.45it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 546/875 [00:09<00:06, 54.17it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 552/875 [00:09<00:05, 53.98it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 558/875 [00:10<00:05, 53.90it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 564/875 [00:10<00:05, 53.84it/s]

→ 1500 Phase 3: finalize:  65%|██████▌   | 570/875 [00:10<00:05, 53.80it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 576/875 [00:10<00:05, 53.76it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 582/875 [00:10<00:05, 53.83it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 588/875 [00:10<00:05, 53.85it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 594/875 [00:10<00:05, 53.93it/s]

→ 1500 Phase 3: finalize:  69%|██████▊   | 600/875 [00:10<00:05, 54.01it/s]

→ 1500 Phase 3: finalize:  69%|██████▉   | 606/875 [00:10<00:04, 54.07it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 612/875 [00:11<00:04, 54.22it/s]

→ 1500 Phase 3: finalize:  71%|███████   | 618/875 [00:11<00:04, 54.34it/s]

→ 1500 Phase 3: finalize:  71%|███████▏  | 624/875 [00:11<00:04, 54.21it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 630/875 [00:11<00:04, 54.33it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 636/875 [00:11<00:04, 54.43it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 642/875 [00:11<00:04, 54.53it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 648/875 [00:11<00:04, 54.47it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 654/875 [00:11<00:04, 54.70it/s]

→ 1500 Phase 3: finalize:  75%|███████▌  | 660/875 [00:11<00:03, 54.83it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 666/875 [00:12<00:03, 55.05it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 672/875 [00:12<00:03, 54.99it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 678/875 [00:12<00:03, 55.05it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 684/875 [00:12<00:03, 55.04it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 690/875 [00:12<00:03, 55.03it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 696/875 [00:12<00:03, 55.04it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 702/875 [00:12<00:03, 55.01it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 708/875 [00:12<00:03, 55.02it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 714/875 [00:12<00:02, 55.02it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 720/875 [00:13<00:02, 55.12it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 726/875 [00:13<00:02, 55.10it/s]

→ 1500 Phase 3: finalize:  84%|████████▎ | 732/875 [00:13<00:02, 55.21it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 738/875 [00:13<00:02, 54.98it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 744/875 [00:13<00:02, 55.12it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 750/875 [00:13<00:02, 55.25it/s]

→ 1500 Phase 3: finalize:  86%|████████▋ | 756/875 [00:13<00:02, 55.32it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 762/875 [00:13<00:02, 55.45it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 768/875 [00:13<00:01, 55.45it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 774/875 [00:13<00:01, 55.42it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 780/875 [00:14<00:01, 55.43it/s]

→ 1500 Phase 3: finalize:  90%|████████▉ | 786/875 [00:14<00:01, 55.35it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 792/875 [00:14<00:01, 55.35it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 798/875 [00:14<00:01, 55.34it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 804/875 [00:14<00:01, 55.31it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 810/875 [00:14<00:01, 55.29it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 816/875 [00:14<00:01, 55.25it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 822/875 [00:14<00:00, 55.19it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 828/875 [00:14<00:00, 55.12it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 834/875 [00:15<00:00, 55.04it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 840/875 [00:15<00:00, 54.96it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 846/875 [00:15<00:00, 54.95it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 852/875 [00:15<00:00, 54.84it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 858/875 [00:15<00:00, 54.30it/s]

→ 1500 Phase 3: finalize:  99%|█████████▊| 864/875 [00:15<00:00, 54.04it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 870/875 [00:15<00:00, 54.21it/s]

                                                                           
[TIMING] 1500 — 875 frames
  Phase 1  radial detect   (parallel)  :  12.94s  (14.8 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.34s  (7.2 ms/frame)
  Phase 2b corner fix      (sequential):   0.18s
  Phase 3  finalize        (sequential):  15.83s  (18.1 ms/frame)
    decode + undistort                 :   8.33s  (9.5 ms/frame)
    corner apply + refinement          :   3.27s  (3.7 ms/frame)
    segment                            :   3.45s  (3.9 ms/frame)
    smooth                             :   0.49s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  35.29s


Processing Rigs: 100%|██████████| 4/4 [02:06<00:00, 32.80s/it]
Processing Rigs: 100%|██████████| 4/4 [02:06<00:00, 31.58s/it]
[💾] Saved RigFrameDataset to /working/MDC019_W001(6)_2026-09-04/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 2631 frames from 4 rigs to /working/MDC019_W001(6)_2026-09-04/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC019_W001(6)_2026-09-04/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 598
[📋] 2000R: 100 frames selected from 598
[📋] 1000: 100 frames selected from 560
[📋] 1500: 100 frames selected from 875
[💾] Saved RigFrameDataset to /working/MDC019_W001(6)_2026-09-04/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC019_W001(6)_2026-09-04/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:04<05:55,  4.50s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:04<02:39,  2.04s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:05<01:35,  1.24s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:05<01:01,  1.24it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:05<00:41,  1.80it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:05<00:26,  2.80it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:06<00:23,  3.08it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:06<00:15,  4.35it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:06<00:18,  3.76it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:06<00:15,  4.20it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:07<00:11,  5.64it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:07<00:11,  5.81it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:07<00:08,  7.43it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:07<00:08,  7.56it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:07<00:06,  8.49it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:07<00:06,  9.35it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:08<00:05, 10.11it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:08<00:04, 11.41it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:08<00:04, 11.70it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:08<00:04, 11.78it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:10<00:19,  2.46it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:11<00:19,  2.39it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:11<00:13,  3.35it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:11<00:09,  4.31it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:11<00:07,  5.39it/s]
Computing max image from bright frames:  52%|█████▎    | 42/80 [00:12<00:08,  4.37it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:12<00:07,  4.76it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:12<00:07,  5.04it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:12<00:07,  4.59it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:13<00:06,  5.10it/s]
Computing max image from bright frames:  60%|██████    | 48/80 [00:13<00:05,  6.12it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:13<00:04,  6.48it/s]
Computing max image from bright frames:  62%|██████▎   | 50/80 [00:13<00:05,  5.36it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:14<00:06,  4.79it/s]
Computing max image from bright frames:  68%|██████▊   | 54/80 [00:14<00:03,  8.26it/s]
Computing max image from bright frames:  70%|███████   | 56/80 [00:14<00:02, 10.19it/s]
Computing max image from bright frames:  74%|███████▍  | 59/80 [00:14<00:01, 12.22it/s]
Computing max image from bright frames:  79%|███████▉  | 63/80 [00:14<00:01, 16.39it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:15<00:02,  5.94it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:15<00:02,  6.25it/s]
Computing max image from bright frames:  86%|████████▋ | 69/80 [00:15<00:01,  7.24it/s]
Computing max image from bright frames:  89%|████████▉ | 71/80 [00:16<00:01,  5.49it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:16<00:00,  7.57it/s]
Computing max image from bright frames:  95%|█████████▌| 76/80 [00:16<00:00,  8.83it/s]
Computing max image from bright frames:  98%|█████████▊| 78/80 [00:17<00:00,  9.34it/s]
Computing max image from bright frames: 100%|██████████| 80/80 [00:17<00:00, 10.46it/s]
                                                                                       
[✅] Casing detection complete: cx=1003.0, cy=749.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:29,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:28,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:28,  3.37it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.38it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.38it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 12.38it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:00<00:07, 12.38it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:07, 12.38it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   9%|▉         | 9/100 [00:00<00:04, 19.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:04, 19.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.003 | Best: {'fx': 370.707} (0.003):  10%|█         | 10/100 [00:00<00:04, 19.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 19.85it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 21.32it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:04, 21.32it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:04, 21.32it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:04, 21.32it/s] 
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 21.32it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 406.061} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 24.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 24.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.005 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 24.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 24.81it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  19%|█▉        | 19/100 [00:00<00:03, 24.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 24.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  20%|██        | 20/100 [00:01<00:03, 24.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.008 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:01<00:03, 24.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.008 | Best: {'fx': 448.485} (0.011):  22%|██▏       | 22/100 [00:01<00:03, 25.00it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:01<00:03, 25.00it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:03, 25.00it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:03, 25.00it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  25%|██▌       | 25/100 [00:01<00:03, 25.00it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  26%|██▌       | 26/100 [00:01<00:02, 27.24it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:02, 27.24it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.031 | Best: {'fx': 490.909} (0.031):  27%|██▋       | 27/100 [00:01<00:02, 27.24it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.039 | Best: {'fx': 497.98} (0.039):  28%|██▊       | 28/100 [00:01<00:02, 27.24it/s] 
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.039 | Best: {'fx': 497.98} (0.039):  29%|██▉       | 29/100 [00:01<00:02, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.059 | Best: {'fx': 512.121} (0.059):  29%|██▉       | 29/100 [00:01<00:02, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.047 | Best: {'fx': 512.121} (0.059):  30%|███       | 30/100 [00:01<00:02, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.075 | Best: {'fx': 519.192} (0.075):  31%|███       | 31/100 [00:01<00:02, 26.12it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.075 | Best: {'fx': 519.192} (0.075):  32%|███▏      | 32/100 [00:01<00:03, 17.69it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.102 | Best: {'fx': 533.333} (0.102):  32%|███▏      | 32/100 [00:01<00:03, 17.69it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.069 | Best: {'fx': 533.333} (0.102):  33%|███▎      | 33/100 [00:01<00:03, 17.69it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.059 | Best: {'fx': 533.333} (0.102):  34%|███▍      | 34/100 [00:01<00:03, 17.69it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.059 | Best: {'fx': 533.333} (0.102):  35%|███▌      | 35/100 [00:01<00:03, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.052 | Best: {'fx': 533.333} (0.102):  35%|███▌      | 35/100 [00:01<00:03, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.095 | Best: {'fx': 533.333} (0.102):  36%|███▌      | 36/100 [00:01<00:03, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.046 | Best: {'fx': 533.333} (0.102):  37%|███▋      | 37/100 [00:01<00:03, 17.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.046 | Best: {'fx': 533.333} (0.102):  38%|███▊      | 38/100 [00:01<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.083 | Best: {'fx': 533.333} (0.102):  38%|███▊      | 38/100 [00:01<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.037 | Best: {'fx': 533.333} (0.102):  39%|███▉      | 39/100 [00:01<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.039 | Best: {'fx': 533.333} (0.102):  40%|████      | 40/100 [00:01<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.033 | Best: {'fx': 533.333} (0.102):  41%|████      | 41/100 [00:02<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.035 | Best: {'fx': 533.333} (0.102):  42%|████▏     | 42/100 [00:02<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.042 | Best: {'fx': 533.333} (0.102):  43%|████▎     | 43/100 [00:02<00:03, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.042 | Best: {'fx': 533.333} (0.102):  44%|████▍     | 44/100 [00:02<00:02, 25.58it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.031 | Best: {'fx': 533.333} (0.102):  44%|████▍     | 44/100 [00:02<00:02, 25.58it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.032 | Best: {'fx': 533.333} (0.102):  45%|████▌     | 45/100 [00:02<00:02, 25.58it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.030 | Best: {'fx': 533.333} (0.102):  46%|████▌     | 46/100 [00:02<00:02, 25.58it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.030 | Best: {'fx': 533.333} (0.102):  47%|████▋     | 47/100 [00:02<00:02, 25.62it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.102):  47%|████▋     | 47/100 [00:02<00:02, 25.62it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.027 | Best: {'fx': 533.333} (0.102):  48%|████▊     | 48/100 [00:02<00:02, 25.62it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.102):  49%|████▉     | 49/100 [00:02<00:01, 25.62it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.102):  50%|█████     | 50/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.029 | Best: {'fx': 533.333} (0.102):  50%|█████     | 50/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.028 | Best: {'fx': 533.333} (0.102):  51%|█████     | 51/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.028 | Best: {'fx': 533.333} (0.102):  52%|█████▏    | 52/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 533.333} (0.102):  53%|█████▎    | 53/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.026 | Best: {'fx': 533.333} (0.102):  54%|█████▍    | 54/100 [00:02<00:02, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.102):  55%|█████▌    | 55/100 [00:02<00:01, 22.50it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.102):  56%|█████▌    | 56/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  56%|█████▌    | 56/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.102):  57%|█████▋    | 57/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  58%|█████▊    | 58/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  59%|█████▉    | 59/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.102):  60%|██████    | 60/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  61%|██████    | 61/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.102):  62%|██████▏   | 62/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.025 | Best: {'fx': 533.333} (0.102):  63%|██████▎   | 63/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  64%|██████▍   | 64/100 [00:02<00:01, 27.52it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  65%|██████▌   | 65/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.024 | Best: {'fx': 533.333} (0.102):  65%|██████▌   | 65/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.022 | Best: {'fx': 533.333} (0.102):  66%|██████▌   | 66/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.102):  67%|██████▋   | 67/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.023 | Best: {'fx': 533.333} (0.102):  68%|██████▊   | 68/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.021 | Best: {'fx': 533.333} (0.102):  69%|██████▉   | 69/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  70%|███████   | 70/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  71%|███████   | 71/100 [00:02<00:00, 39.94it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  72%|███████▏  | 72/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  72%|███████▏  | 72/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  73%|███████▎  | 73/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  74%|███████▍  | 74/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  75%|███████▌  | 75/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  76%|███████▌  | 76/100 [00:02<00:00, 44.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  77%|███████▋  | 77/100 [00:02<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  77%|███████▋  | 77/100 [00:02<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.020 | Best: {'fx': 533.333} (0.102):  78%|███████▊  | 78/100 [00:02<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  79%|███████▉  | 79/100 [00:02<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  80%|████████  | 80/100 [00:02<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  81%|████████  | 81/100 [00:03<00:00, 42.75it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  82%|████████▏ | 82/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  82%|████████▏ | 82/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  83%|████████▎ | 83/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  84%|████████▍ | 84/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  85%|████████▌ | 85/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  86%|████████▌ | 86/100 [00:03<00:00, 41.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  87%|████████▋ | 87/100 [00:03<00:00, 32.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  87%|████████▋ | 87/100 [00:03<00:00, 32.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  88%|████████▊ | 88/100 [00:03<00:00, 32.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  89%|████████▉ | 89/100 [00:03<00:00, 32.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  90%|█████████ | 90/100 [00:03<00:00, 32.13it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  91%|█████████ | 91/100 [00:03<00:00, 33.26it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  91%|█████████ | 91/100 [00:03<00:00, 33.26it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  92%|█████████▏| 92/100 [00:03<00:00, 33.26it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  93%|█████████▎| 93/100 [00:03<00:00, 33.26it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  94%|█████████▍| 94/100 [00:03<00:00, 33.26it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.019 | Best: {'fx': 533.333} (0.102):  95%|█████████▌| 95/100 [00:03<00:00, 34.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  95%|█████████▌| 95/100 [00:03<00:00, 34.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  96%|█████████▌| 96/100 [00:03<00:00, 34.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  97%|█████████▋| 97/100 [00:03<00:00, 34.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  98%|█████████▊| 98/100 [00:03<00:00, 34.11it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  99%|█████████▉| 99/100 [00:03<00:00, 34.72it/s]
Brute | Start: {'fx': 500.0} (0.041) | Current: 0.018 | Best: {'fx': 533.333} (0.102):  99%|█████████▉| 99/100 [00:03<00:00, 34.72it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.053 | Best: {'fx': 508.333} (0.053):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.053 | Best: {'fx': 508.333} (0.053):   2%|▏         | 1/50 [00:00<00:27,  1.80it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.054 | Best: {'fx': 509.354} (0.054):   2%|▏         | 1/50 [00:00<00:27,  1.80it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.056 | Best: {'fx': 510.374} (0.056):   4%|▍         | 2/50 [00:00<00:26,  1.80it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.056 | Best: {'fx': 510.374} (0.056):   6%|▌         | 3/50 [00:00<00:08,  5.23it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.057 | Best: {'fx': 511.395} (0.057):   6%|▌         | 3/50 [00:00<00:08,  5.23it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.059 | Best: {'fx': 512.415} (0.059):   8%|▊         | 4/50 [00:00<00:08,  5.23it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.062 | Best: {'fx': 513.435} (0.062):  10%|█         | 5/50 [00:00<00:08,  5.23it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.064 | Best: {'fx': 514.456} (0.064):  12%|█▏        | 6/50 [00:00<00:08,  5.23it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.064 | Best: {'fx': 514.456} (0.064):  14%|█▍        | 7/50 [00:00<00:03, 12.40it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.066 | Best: {'fx': 515.476} (0.066):  14%|█▍        | 7/50 [00:00<00:03, 12.40it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.068 | Best: {'fx': 516.497} (0.068):  16%|█▌        | 8/50 [00:00<00:03, 12.40it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.071 | Best: {'fx': 517.517} (0.071):  18%|█▊        | 9/50 [00:00<00:03, 12.40it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.071 | Best: {'fx': 517.517} (0.071):  20%|██        | 10/50 [00:00<00:02, 14.19it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.076 | Best: {'fx': 519.558} (0.076):  20%|██        | 10/50 [00:01<00:02, 14.19it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.074 | Best: {'fx': 519.558} (0.076):  22%|██▏       | 11/50 [00:01<00:02, 14.19it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.074 | Best: {'fx': 519.558} (0.076):  24%|██▍       | 12/50 [00:01<00:02, 14.22it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.083 | Best: {'fx': 521.599} (0.083):  24%|██▍       | 12/50 [00:01<00:02, 14.22it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.080 | Best: {'fx': 521.599} (0.083):  26%|██▌       | 13/50 [00:01<00:02, 14.22it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.089 | Best: {'fx': 523.639} (0.089):  28%|██▊       | 14/50 [00:01<00:02, 14.22it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.085 | Best: {'fx': 523.639} (0.089):  30%|███       | 15/50 [00:01<00:02, 14.22it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.092 | Best: {'fx': 524.66} (0.092):  32%|███▏      | 16/50 [00:01<00:02, 14.22it/s] 
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.092 | Best: {'fx': 524.66} (0.092):  34%|███▍      | 17/50 [00:01<00:01, 22.18it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.094 | Best: {'fx': 525.68} (0.094):  34%|███▍      | 17/50 [00:01<00:01, 22.18it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.097 | Best: {'fx': 526.701} (0.097):  36%|███▌      | 18/50 [00:01<00:01, 22.18it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.098 | Best: {'fx': 527.721} (0.098):  38%|███▊      | 19/50 [00:01<00:01, 22.18it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.098 | Best: {'fx': 527.721} (0.098):  40%|████      | 20/50 [00:01<00:01, 22.07it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.098 | Best: {'fx': 527.721} (0.098):  40%|████      | 20/50 [00:01<00:01, 22.07it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.104 | Best: {'fx': 531.803} (0.104):  42%|████▏     | 21/50 [00:01<00:01, 22.07it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.085 | Best: {'fx': 531.803} (0.104):  44%|████▍     | 22/50 [00:01<00:01, 22.07it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.085 | Best: {'fx': 531.803} (0.104):  46%|████▌     | 23/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.102 | Best: {'fx': 531.803} (0.104):  46%|████▌     | 23/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.101 | Best: {'fx': 531.803} (0.104):  48%|████▊     | 24/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.103 | Best: {'fx': 531.803} (0.104):  50%|█████     | 25/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.081 | Best: {'fx': 531.803} (0.104):  52%|█████▏    | 26/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.093 | Best: {'fx': 531.803} (0.104):  54%|█████▍    | 27/50 [00:01<00:01, 19.21it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.093 | Best: {'fx': 531.803} (0.104):  56%|█████▌    | 28/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.102 | Best: {'fx': 531.803} (0.104):  56%|█████▌    | 28/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.077 | Best: {'fx': 531.803} (0.104):  58%|█████▊    | 29/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.079 | Best: {'fx': 531.803} (0.104):  60%|██████    | 30/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.098 | Best: {'fx': 531.803} (0.104):  62%|██████▏   | 31/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.090 | Best: {'fx': 531.803} (0.104):  64%|██████▍   | 32/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.095 | Best: {'fx': 531.803} (0.104):  66%|██████▌   | 33/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.073 | Best: {'fx': 531.803} (0.104):  68%|██████▊   | 34/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.075 | Best: {'fx': 531.803} (0.104):  70%|███████   | 35/50 [00:01<00:00, 24.82it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.075 | Best: {'fx': 531.803} (0.104):  72%|███████▏  | 36/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.070 | Best: {'fx': 531.803} (0.104):  72%|███████▏  | 36/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.067 | Best: {'fx': 531.803} (0.104):  74%|███████▍  | 37/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.088 | Best: {'fx': 531.803} (0.104):  76%|███████▌  | 38/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.064 | Best: {'fx': 531.803} (0.104):  78%|███████▊  | 39/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.069 | Best: {'fx': 531.803} (0.104):  80%|████████  | 40/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.066 | Best: {'fx': 531.803} (0.104):  82%|████████▏ | 41/50 [00:01<00:00, 37.25it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.066 | Best: {'fx': 531.803} (0.104):  84%|████████▍ | 42/50 [00:01<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.061 | Best: {'fx': 531.803} (0.104):  84%|████████▍ | 42/50 [00:01<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.062 | Best: {'fx': 531.803} (0.104):  86%|████████▌ | 43/50 [00:01<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.064 | Best: {'fx': 531.803} (0.104):  88%|████████▊ | 44/50 [00:01<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.059 | Best: {'fx': 531.803} (0.104):  90%|█████████ | 45/50 [00:01<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.058 | Best: {'fx': 531.803} (0.104):  92%|█████████▏| 46/50 [00:02<00:00, 41.76it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.058 | Best: {'fx': 531.803} (0.104):  94%|█████████▍| 47/50 [00:02<00:00, 39.34it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.056 | Best: {'fx': 531.803} (0.104):  94%|█████████▍| 47/50 [00:02<00:00, 39.34it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.057 | Best: {'fx': 531.803} (0.104):  96%|█████████▌| 48/50 [00:02<00:00, 39.34it/s]
Brute | Start: {'fx': 533.333} (0.102) | Current: 0.055 | Best: {'fx': 531.803} (0.104):  98%|█████████▊| 49/50 [00:02<00:00, 39.34it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 531.8027210884354
    px: 1003.0
    py: 749.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


[🔲] Square Reference Optimization
    Including tangential distortion parameters (p1, p2, p3, p4) in joint optimization
  Selecting up to 20 frames per rig (excluded 2 incomplete frames): 78 frames will be used for optimization
  Rigs: 2000L(2000mm):19/20, 2000R(2000mm):19/20, 1000(1000mm):20/20, 1500(1500mm):20/20
  Total: 78/80 frames used for optimization

Initial score: 17.8609: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 17.8609, picklable_objective(x0) = 17.5793

Best score: 17.5793: : 0iter [00:01, ?iter/s] 
Best score: 17.5793: : 1iter [00:01,  1.99s/iter]
Best score: 17.5793: : 1iter [00:02,  1.99s/iter]
Best score: 17.5793: : 2iter [00:02,  1.99s/iter]
Best score: 17.5793: : 3iter [00:02,  1.72iter/s]
Best score: 17.5793: : 3iter [00:02,  1.72iter/s]
Best score: 17.5793: : 4iter [00:02,  1.72iter/s]
Best score: 17.5793: : 5iter [00:02,  3.07iter/s]
Best score: 17.5793: : 5iter [00:02,  3.07iter/s]
Best score: 17.5793: : 6iter [00:02,  3.07iter/s]
Best score: 17.5793: : 7iter [00:02,  4.48iter/s]
Best score: 17.5793: : 7iter [00:02,  4.48iter/s]
Best score: 17.5793: : 8iter [00:02,  4.48iter/s]
Best score: 17.5793: : 9iter [00:02,  5.84iter/s]
Best score: 17.5793: : 9iter [00:02,  5.84iter/s]
Best score: 17.5793: : 10iter [00:02,  5.84iter/s]
Best score: 17.5793: : 11iter [00:02,  7.03iter/s]
Best score: 17.5793: : 11iter [00:02,  7.03iter/s]
Best score: 17.5793: : 12iter [00:03,  7.03iter/s]
Best score: 17.5793: : 13iter [00:03,  8.13iter/s]
Best score: 17.5793: : 13iter [00:03,  8.13iter/s]
Best score: 17.5793: : 14iter [00:03,  8.13iter/s]
Best score: 17.5793: : 15iter [00:03,  9.04iter/s]
Best score: 17.5793: : 15iter [00:03,  9.04iter/s]
Best score: 17.5793: : 16iter [00:03,  9.04iter/s]
Best score: 17.5793: : 17iter [00:03,  9.80iter/s]
Best score: 17.5793: : 17iter [00:03,  9.80iter/s]
Best score: 17.5793: : 18iter [00:03,  9.80iter/s]
Best score: 17.5793: : 19iter [00:03, 10.33iter/s]
Best score: 17.5793: : 19iter [00:03, 10.33iter/s]
Best score: 17.5793: : 20iter [00:03, 10.33iter/s]
Best score: 17.5793: : 21iter [00:03, 10.59iter/s]
Best score: 17.5793: : 21iter [00:03, 10.59iter/s]
Best score: 17.5793: : 22iter [00:03, 10.59iter/s]
Best score: 17.5793: : 23iter [00:03, 10.91iter/s]
Best score: 17.5793: : 23iter [00:03, 10.91iter/s]
Best score: 17.5793: : 24iter [00:04, 10.91iter/s]
Best score: 17.5793: : 25iter [00:04, 11.17iter/s]
Best score: 17.5793: : 25iter [00:04, 11.17iter/s]
Best score: 17.5793: : 26iter [00:04, 11.17iter/s]
Best score: 17.5793: : 27iter [00:04, 11.34iter/s]
Best score: 17.5793: : 27iter [00:04, 11.34iter/s]
Best score: 17.5793: : 28iter [00:04, 11.34iter/s]
Best score: 17.5793: : 29iter [00:04, 11.52iter/s]
Best score: 17.5793: : 29iter [00:04, 11.52iter/s]
Best score: 17.5793: : 30iter [00:04, 11.52iter/s]
Best score: 17.5793: : 31iter [00:04, 11.48iter/s]
Best score: 17.5793: : 31iter [00:04, 11.48iter/s]
Best score: 17.5793: : 32iter [00:04, 11.48iter/s]
Best score: 17.5793: : 33iter [00:04, 11.59iter/s]
Best score: 17.5793: : 33iter [00:04, 11.59iter/s]
Best score: 17.5793: : 34iter [00:04, 11.59iter/s]
Best score: 17.5793: : 35iter [00:04, 11.66iter/s]
Best score: 17.5793: : 35iter [00:04, 11.66iter/s]
Best score: 17.5793: : 36iter [00:05, 11.66iter/s]
Best score: 17.5793: : 37iter [00:05, 11.75iter/s]
Best score: 17.5793: : 37iter [00:05, 11.75iter/s]
Best score: 17.5793: : 38iter [00:05, 11.75iter/s]
Best score: 17.5793: : 39iter [00:05, 11.75iter/s]
Best score: 16.4824: : 39iter [00:05, 11.75iter/s]
Best score: 16.4824: : 40iter [00:05, 11.75iter/s]
Best score: 16.4824: : 41iter [00:05, 11.62iter/s]
Best score: 16.4824: : 41iter [00:05, 11.62iter/s]
Best score: 16.4824: : 42iter [00:05, 11.62iter/s]
Best score: 16.4824: : 43iter [00:05, 11.70iter/s]
Best score: 16.4824: : 43iter [00:05, 11.70iter/s]
Best score: 16.4824: : 44iter [00:05, 11.70iter/s]
Best score: 16.4824: : 45iter [00:05, 11.71iter/s]
Best score: 16.4824: : 45iter [00:05, 11.71iter/s]
Best score: 16.4824: : 46iter [00:05, 11.71iter/s]
Best score: 16.4824: : 47iter [00:05, 11.77iter/s]
Best score: 16.4824: : 47iter [00:05, 11.77iter/s]
Best score: 16.4824: : 48iter [00:06, 11.77iter/s]
Best score: 16.4824: : 49iter [00:06, 11.78iter/s]
[ITER 50] Best: 16.4824
[PARAMS] Current best parameters:
  fx: 583.7799
  fy: 581.8685
  px: 995.3002
  py: 735.3570
  k1: -0.04408190
  k2: -0.01302500
  k3: 0.00604965
  k4: 0.00147830
  p1: -0.01677589
  p2: -0.00062411
  p3: 0.01652703
  p4: -0.00923445
  s1: -0.0080
  s2: -0.0021
  s3: -0.0067
  s4: 0.0018
  tilt_x: -0.0212
  tilt_y: 0.0287
  scale: 2.9992
  rotation: -0.7129

Best score: 16.4824: : 49iter [00:06, 11.78iter/s]
Best score: 16.4824: : 50iter [00:06, 11.78iter/s]
Best score: 16.4824: : 51iter [00:06, 11.64iter/s]
Best score: 16.4824: : 51iter [00:06, 11.64iter/s]
Best score: 16.4824: : 52iter [00:06, 11.64iter/s]
Best score: 16.4824: : 53iter [00:06, 11.74iter/s]
Best score: 16.4824: : 53iter [00:06, 11.74iter/s]
Best score: 16.4824: : 54iter [00:06, 11.74iter/s]
Best score: 16.4824: : 55iter [00:06, 11.81iter/s]
Best score: 16.4824: : 55iter [00:06, 11.81iter/s]
Best score: 16.4824: : 56iter [00:06, 11.81iter/s]
Best score: 16.4824: : 57iter [00:06, 11.87iter/s]
Best score: 16.4824: : 57iter [00:06, 11.87iter/s]
Best score: 16.4824: : 58iter [00:06, 11.87iter/s]
Best score: 16.4824: : 59iter [00:06, 11.91iter/s]
Best score: 16.4824: : 59iter [00:07, 11.91iter/s]
Best score: 16.4824: : 60iter [00:07, 11.91iter/s]
Best score: 16.4824: : 61iter [00:07, 11.74iter/s]
Best score: 16.4824: : 61iter [00:07, 11.74iter/s]
Best score: 16.4824: : 62iter [00:07, 11.74iter/s]
Best score: 16.4824: : 63iter [00:07, 11.87iter/s]
Best score: 16.4824: : 63iter [00:07, 11.87iter/s]
Best score: 16.4824: : 64iter [00:07, 11.87iter/s]
Best score: 16.4824: : 65iter [00:07, 11.90iter/s]
Best score: 16.4824: : 65iter [00:07, 11.90iter/s]
Best score: 16.4824: : 66iter [00:07, 11.90iter/s]
Best score: 16.4824: : 67iter [00:07, 11.95iter/s]
Best score: 16.4824: : 67iter [00:07, 11.95iter/s]
Best score: 16.4824: : 68iter [00:07, 11.95iter/s]
Best score: 16.4824: : 69iter [00:07, 12.02iter/s]
Best score: 13.3163: : 69iter [00:07, 12.02iter/s]
Best score: 13.3163: : 70iter [00:07, 12.02iter/s]
Best score: 13.3163: : 71iter [00:07, 11.81iter/s]
Best score: 13.3163: : 71iter [00:08, 11.81iter/s]
Best score: 13.3163: : 72iter [00:08, 11.81iter/s]
Best score: 13.3163: : 73iter [00:08, 11.94iter/s]
Best score: 13.3163: : 73iter [00:08, 11.94iter/s]
Best score: 13.3163: : 74iter [00:08, 11.94iter/s]
Best score: 13.3163: : 75iter [00:08, 11.97iter/s]
Best score: 13.3163: : 75iter [00:08, 11.97iter/s]
Best score: 13.3163: : 76iter [00:08, 11.97iter/s]
Best score: 13.3163: : 77iter [00:08, 12.05iter/s]
Best score: 13.3163: : 77iter [00:08, 12.05iter/s]
Best score: 13.3163: : 78iter [00:08, 12.05iter/s]
Best score: 13.3163: : 79iter [00:08, 12.08iter/s]
Best score: 9.5177: : 79iter [00:08, 12.08iter/s] 
Best score: 9.5177: : 80iter [00:08, 12.08iter/s]
Best score: 9.5177: : 81iter [00:08, 11.93iter/s]
Best score: 9.5177: : 81iter [00:08, 11.93iter/s]
Best score: 9.5177: : 82iter [00:08, 11.93iter/s]
Best score: 9.5177: : 83iter [00:08, 11.98iter/s]
Best score: 9.5177: : 83iter [00:09, 11.98iter/s]
Best score: 9.5177: : 84iter [00:09, 11.98iter/s]
Best score: 9.5177: : 85iter [00:09, 12.05iter/s]
Best score: 9.5177: : 85iter [00:09, 12.05iter/s]
Best score: 9.5177: : 86iter [00:09, 12.05iter/s]
Best score: 9.5177: : 87iter [00:09, 12.09iter/s]
Best score: 9.5177: : 87iter [00:09, 12.09iter/s]
Best score: 9.5177: : 88iter [00:09, 12.09iter/s]
Best score: 9.5177: : 89iter [00:09, 12.15iter/s]
Best score: 9.1047: : 89iter [00:09, 12.15iter/s]
Best score: 9.1047: : 90iter [00:09, 12.15iter/s]
Best score: 9.1047: : 91iter [00:09, 11.97iter/s]
Best score: 9.1047: : 91iter [00:09, 11.97iter/s]
Best score: 9.1047: : 92iter [00:09, 11.97iter/s]
Best score: 9.1047: : 93iter [00:09, 11.99iter/s]
Best score: 9.1047: : 93iter [00:09, 11.99iter/s]
Best score: 9.1047: : 94iter [00:09, 11.99iter/s]
Best score: 9.1047: : 95iter [00:09, 12.05iter/s]
Best score: 9.1047: : 95iter [00:10, 12.05iter/s]
Best score: 9.1047: : 96iter [00:10, 12.05iter/s]
Best score: 9.1047: : 97iter [00:10, 12.06iter/s]
Best score: 9.1047: : 97iter [00:10, 12.06iter/s]
Best score: 9.1047: : 98iter [00:10, 12.06iter/s]
Best score: 9.1047: : 99iter [00:10, 12.11iter/s]
[ITER 100] Best: 8.2118
[PARAMS] Current best parameters:
  fx: 603.7911
  fy: 602.5541
  px: 994.0846
  py: 751.2240
  k1: -0.11134176
  k2: 0.02949565
  k3: 0.01530837
  k4: -0.00955151
  p1: -0.00594231
  p2: -0.00905835
  p3: -0.00801015
  p4: 0.01289680
  s1: 0.0173
  s2: -0.0471
  s3: -0.0141
  s4: 0.0050
  tilt_x: 0.0533
  tilt_y: 0.0592
  scale: 3.0862
  rotation: -0.5859

Best score: 8.2118: : 99iter [00:10, 12.11iter/s]
Best score: 8.2118: : 100iter [00:10, 12.11iter/s]
Best score: 8.2118: : 101iter [00:10, 10.32iter/s]
Best score: 8.2118: : 101iter [00:10, 10.32iter/s]
Best score: 8.2118: : 102iter [00:10, 10.32iter/s]
Best score: 8.2118: : 103iter [00:10, 10.71iter/s]
Best score: 8.2118: : 103iter [00:10, 10.71iter/s]
Best score: 8.2118: : 104iter [00:10, 10.71iter/s]
Best score: 8.2118: : 105iter [00:10, 11.01iter/s]
Best score: 8.2118: : 105iter [00:10, 11.01iter/s]
Best score: 8.2118: : 106iter [00:11, 11.01iter/s]
Best score: 8.2118: : 107iter [00:11, 11.17iter/s]
Best score: 8.2118: : 107iter [00:11, 11.17iter/s]
Best score: 8.2118: : 108iter [00:11, 11.17iter/s]
Best score: 8.2118: : 109iter [00:11, 11.34iter/s]
Best score: 8.2118: : 109iter [00:11, 11.34iter/s]
Best score: 8.2118: : 110iter [00:11, 11.34iter/s]
Best score: 8.2118: : 111iter [00:11, 11.31iter/s]
Best score: 8.2118: : 111iter [00:11, 11.31iter/s]
Best score: 8.2118: : 112iter [00:11, 11.31iter/s]
Best score: 8.2118: : 113iter [00:11, 11.49iter/s]
Best score: 8.2118: : 113iter [00:11, 11.49iter/s]
Best score: 8.2118: : 114iter [00:11, 11.49iter/s]
Best score: 8.2118: : 115iter [00:11, 11.56iter/s]
Best score: 8.2118: : 115iter [00:11, 11.56iter/s]
Best score: 8.2118: : 116iter [00:11, 11.56iter/s]
Best score: 8.2118: : 117iter [00:11, 11.68iter/s]
Best score: 8.2118: : 117iter [00:11, 11.68iter/s]
Best score: 8.2118: : 118iter [00:12, 11.68iter/s]
Best score: 8.2118: : 119iter [00:12, 11.73iter/s]
Best score: 8.2118: : 119iter [00:12, 11.73iter/s]
Best score: 8.2118: : 120iter [00:12, 11.73iter/s]
Best score: 8.2118: : 121iter [00:12, 11.64iter/s]
Best score: 8.2118: : 121iter [00:12, 11.64iter/s]
Best score: 8.2118: : 122iter [00:12, 11.64iter/s]
Best score: 8.2118: : 123iter [00:12, 11.74iter/s]
Best score: 8.2118: : 123iter [00:12, 11.74iter/s]
Best score: 8.2118: : 124iter [00:12, 11.74iter/s]
Best score: 8.2118: : 125iter [00:12, 11.82iter/s]
Best score: 8.2118: : 125iter [00:12, 11.82iter/s]
Best score: 8.2118: : 126iter [00:12, 11.82iter/s]
Best score: 8.2118: : 127iter [00:12, 11.83iter/s]
Best score: 8.2118: : 127iter [00:12, 11.83iter/s]
Best score: 8.2118: : 128iter [00:12, 11.83iter/s]
Best score: 8.2118: : 129iter [00:12, 11.82iter/s]
Best score: 8.2118: : 129iter [00:12, 11.82iter/s]
Best score: 8.2118: : 130iter [00:13, 11.82iter/s]
Best score: 8.2118: : 131iter [00:13, 11.67iter/s]
Best score: 8.2118: : 131iter [00:13, 11.67iter/s]
Best score: 8.2118: : 132iter [00:13, 11.67iter/s]
Best score: 8.2118: : 133iter [00:13, 11.77iter/s]
Best score: 8.2118: : 133iter [00:13, 11.77iter/s]
Best score: 8.2118: : 134iter [00:13, 11.77iter/s]
Best score: 8.2118: : 135iter [00:13, 11.89iter/s]
Best score: 8.2118: : 135iter [00:13, 11.89iter/s]
Best score: 8.2118: : 136iter [00:13, 11.89iter/s]
Best score: 8.2118: : 137iter [00:13, 11.98iter/s]
Best score: 8.2118: : 137iter [00:13, 11.98iter/s]
Best score: 8.2118: : 138iter [00:13, 11.98iter/s]
Best score: 8.2118: : 139iter [00:13, 12.03iter/s]
Best score: 8.2118: : 139iter [00:13, 12.03iter/s]
Best score: 8.2118: : 140iter [00:13, 12.03iter/s]
Best score: 8.2118: : 141iter [00:13, 11.85iter/s]
Best score: 8.2118: : 141iter [00:13, 11.85iter/s]
Best score: 8.2118: : 142iter [00:14, 11.85iter/s]
Best score: 8.2118: : 143iter [00:14, 11.91iter/s]
Best score: 8.2118: : 143iter [00:14, 11.91iter/s]
Best score: 8.2118: : 144iter [00:14, 11.91iter/s]
Best score: 8.2118: : 145iter [00:14, 11.98iter/s]
Best score: 8.2118: : 145iter [00:14, 11.98iter/s]
Best score: 8.2118: : 146iter [00:14, 11.98iter/s]
Best score: 8.2118: : 147iter [00:14, 12.01iter/s]
Best score: 8.2118: : 147iter [00:14, 12.01iter/s]
Best score: 8.2118: : 148iter [00:14, 12.01iter/s]
Best score: 8.2118: : 149iter [00:14, 11.97iter/s]
[ITER 150] Best: 8.2118
[PARAMS] Current best parameters:
  fx: 603.7911
  fy: 602.5541
  px: 994.0846
  py: 751.2240
  k1: -0.11134176
  k2: 0.02949565
  k3: 0.01530837
  k4: -0.00955151
  p1: -0.00594231
  p2: -0.00905835
  p3: -0.00801015
  p4: 0.01289680
  s1: 0.0173
  s2: -0.0471
  s3: -0.0141
  s4: 0.0050
  tilt_x: 0.0533
  tilt_y: 0.0592
  scale: 3.0862
  rotation: -0.5859

Best score: 8.2118: : 149iter [00:14, 11.97iter/s]
Best score: 8.2118: : 150iter [00:15, 11.97iter/s]
Best score: 8.2118: : 151iter [00:15,  7.72iter/s]
Best score: 8.2118: : 151iter [00:15,  7.72iter/s]
Best score: 8.2118: : 152iter [00:15,  7.72iter/s]
Best score: 8.2118: : 153iter [00:15,  8.65iter/s]
Best score: 8.2118: : 153iter [00:15,  8.65iter/s]
Best score: 8.2118: : 154iter [00:15,  8.65iter/s]
Best score: 8.2118: : 155iter [00:15,  9.44iter/s]
Best score: 8.2118: : 155iter [00:15,  9.44iter/s]
Best score: 8.2118: : 156iter [00:15,  9.44iter/s]
Best score: 8.2118: : 157iter [00:15, 10.13iter/s]
Best score: 8.2118: : 157iter [00:15, 10.13iter/s]
Best score: 8.2118: : 158iter [00:15, 10.13iter/s]
Best score: 8.2118: : 159iter [00:15, 10.62iter/s]
Best score: 8.2118: : 159iter [00:15, 10.62iter/s]
Best score: 8.2118: : 160iter [00:15, 10.62iter/s]
Best score: 8.2118: : 161iter [00:15, 10.87iter/s]
Best score: 8.2118: : 161iter [00:15, 10.87iter/s]
Best score: 8.2118: : 162iter [00:16, 10.87iter/s]
Best score: 8.2118: : 163iter [00:16, 11.17iter/s]
Best score: 8.2118: : 163iter [00:16, 11.17iter/s]
Best score: 8.2118: : 164iter [00:16, 11.17iter/s]
Best score: 8.2118: : 165iter [00:16, 11.47iter/s]
Best score: 8.2118: : 165iter [00:16, 11.47iter/s]
Best score: 8.2118: : 166iter [00:16, 11.47iter/s]
Best score: 8.2118: : 167iter [00:16, 11.64iter/s]
Best score: 8.2118: : 167iter [00:16, 11.64iter/s]
Best score: 8.2118: : 168iter [00:16, 11.64iter/s]
Best score: 8.2118: : 169iter [00:16, 11.80iter/s]
Best score: 8.2118: : 169iter [00:16, 11.80iter/s]
Best score: 8.2118: : 170iter [00:16, 11.80iter/s]
Best score: 8.2118: : 171iter [00:16, 11.67iter/s]
Best score: 8.2118: : 171iter [00:16, 11.67iter/s]
Best score: 8.2118: : 172iter [00:16, 11.67iter/s]
Best score: 8.2118: : 173iter [00:16, 11.85iter/s]
Best score: 8.2118: : 173iter [00:16, 11.85iter/s]
Best score: 8.2118: : 174iter [00:17, 11.85iter/s]
Best score: 8.2118: : 175iter [00:17, 11.94iter/s]
Best score: 8.2118: : 175iter [00:17, 11.94iter/s]
Best score: 8.2118: : 176iter [00:17, 11.94iter/s]
Best score: 8.2118: : 177iter [00:17, 12.05iter/s]
Best score: 8.2118: : 177iter [00:17, 12.05iter/s]
Best score: 8.2118: : 178iter [00:17, 12.05iter/s]
Best score: 8.2118: : 179iter [00:17, 12.11iter/s]
Best score: 4.7281: : 179iter [00:17, 12.11iter/s]
Best score: 4.7281: : 180iter [00:17, 12.11iter/s]
Best score: 4.7281: : 181iter [00:17, 11.91iter/s]
Best score: 4.7281: : 181iter [00:17, 11.91iter/s]
Best score: 4.7281: : 182iter [00:17, 11.91iter/s]
Best score: 4.7281: : 183iter [00:17, 12.00iter/s]
Best score: 4.7281: : 183iter [00:17, 12.00iter/s]
Best score: 4.7281: : 184iter [00:17, 12.00iter/s]
Best score: 4.7281: : 185iter [00:17, 12.02iter/s]
Best score: 4.7281: : 185iter [00:17, 12.02iter/s]
Best score: 4.7281: : 186iter [00:18, 12.02iter/s]
Best score: 4.7281: : 187iter [00:18, 12.09iter/s]
Best score: 4.7281: : 187iter [00:18, 12.09iter/s]
Best score: 4.7281: : 188iter [00:18, 12.09iter/s]
Best score: 4.7281: : 189iter [00:18, 12.15iter/s]
Best score: 4.7281: : 189iter [00:18, 12.15iter/s]
Best score: 4.7281: : 190iter [00:18, 12.15iter/s]
Best score: 4.7281: : 191iter [00:18, 11.98iter/s]
Best score: 4.7281: : 191iter [00:18, 11.98iter/s]
Best score: 4.7281: : 192iter [00:18, 11.98iter/s]
Best score: 4.7281: : 193iter [00:18, 12.06iter/s]
Best score: 4.7281: : 193iter [00:18, 12.06iter/s]
Best score: 4.7281: : 194iter [00:18, 12.06iter/s]
Best score: 4.7281: : 195iter [00:18, 12.06iter/s]
Best score: 4.7281: : 195iter [00:18, 12.06iter/s]
Best score: 4.7281: : 196iter [00:18, 12.06iter/s]
Best score: 4.7281: : 197iter [00:18, 12.09iter/s]
Best score: 4.7281: : 197iter [00:18, 12.09iter/s]
Best score: 4.7281: : 198iter [00:19, 12.09iter/s]
Best score: 4.7281: : 199iter [00:19, 12.12iter/s]
[ITER 200] Best: 3.1048
[PARAMS] Current best parameters:
  fx: 600.9247
  fy: 601.4347
  px: 1003.7694
  py: 762.2215
  k1: -0.04587739
  k2: -0.02452177
  k3: 0.00576271
  k4: 0.00333086
  p1: 0.00788624
  p2: -0.00000989
  p3: 0.00611988
  p4: -0.01338112
  s1: 0.0065
  s2: -0.0068
  s3: -0.0150
  s4: 0.0294
  tilt_x: 0.0787
  tilt_y: 0.0351
  scale: 2.9671
  rotation: -0.7841

Best score: 3.1048: : 199iter [00:19, 12.12iter/s]
[Periodic outlier @ iter 100] Removing 2000L frame 7 (score=39.50, threshold=25.90)
  Remaining frames: 77

Best score: 3.1048: : 200iter [00:19, 12.12iter/s]
Best score: 3.1048: : 201iter [00:19,  6.71iter/s]
Best score: 3.1048: : 201iter [00:19,  6.71iter/s]
Best score: 3.1048: : 202iter [00:19,  6.71iter/s]
Best score: 3.1048: : 203iter [00:19,  7.72iter/s]
Best score: 3.1048: : 203iter [00:19,  7.72iter/s]
Best score: 3.1048: : 204iter [00:19,  7.72iter/s]
Best score: 3.1048: : 205iter [00:19,  8.66iter/s]
Best score: 3.1048: : 205iter [00:20,  8.66iter/s]
Best score: 3.1048: : 206iter [00:20,  8.66iter/s]
Best score: 3.1048: : 207iter [00:20,  9.45iter/s]
Best score: 3.1048: : 207iter [00:20,  9.45iter/s]
Best score: 3.1048: : 208iter [00:20,  9.45iter/s]
Best score: 3.1048: : 209iter [00:20, 10.09iter/s]
Best score: 2.6573: : 209iter [00:20, 10.09iter/s]
Best score: 2.6573: : 210iter [00:20, 10.09iter/s]
Best score: 2.6573: : 211iter [00:20, 10.44iter/s]
Best score: 2.6573: : 211iter [00:20, 10.44iter/s]
Best score: 2.6573: : 212iter [00:20, 10.44iter/s]
Best score: 2.6573: : 213iter [00:20, 10.83iter/s]
Best score: 2.6573: : 213iter [00:20, 10.83iter/s]
Best score: 2.6573: : 214iter [00:20, 10.83iter/s]
Best score: 2.6573: : 215iter [00:20, 11.20iter/s]
Best score: 2.6573: : 215iter [00:20, 11.20iter/s]
Best score: 2.6573: : 216iter [00:20, 11.20iter/s]
Best score: 2.6573: : 217iter [00:20, 11.45iter/s]
Best score: 2.6573: : 217iter [00:21, 11.45iter/s]
Best score: 2.6573: : 218iter [00:21, 11.45iter/s]
Best score: 2.6573: : 219iter [00:21, 11.60iter/s]
Best score: 2.6573: : 219iter [00:21, 11.60iter/s]
Best score: 2.6573: : 220iter [00:21, 11.60iter/s]
Best score: 2.6573: : 221iter [00:21, 11.53iter/s]
Best score: 2.6573: : 221iter [00:21, 11.53iter/s]
Best score: 2.6573: : 222iter [00:21, 11.53iter/s]
Best score: 2.6573: : 223iter [00:21, 11.65iter/s]
Best score: 2.6573: : 223iter [00:21, 11.65iter/s]
Best score: 2.6573: : 224iter [00:21, 11.65iter/s]
Best score: 2.6573: : 225iter [00:21, 11.77iter/s]
Best score: 2.6573: : 225iter [00:21, 11.77iter/s]
Best score: 2.6573: : 226iter [00:21, 11.77iter/s]
Best score: 2.6573: : 227iter [00:21, 11.81iter/s]
Best score: 2.6573: : 227iter [00:21, 11.81iter/s]
Best score: 2.6573: : 228iter [00:21, 11.81iter/s]
Best score: 2.6573: : 229iter [00:21, 11.91iter/s]
Best score: 2.6573: : 229iter [00:22, 11.91iter/s]
Best score: 2.6573: : 230iter [00:22, 11.91iter/s]
Best score: 2.6573: : 231iter [00:22, 11.71iter/s]
Best score: 2.6573: : 231iter [00:22, 11.71iter/s]
Best score: 2.6573: : 232iter [00:22, 11.71iter/s]
Best score: 2.6573: : 233iter [00:22, 11.83iter/s]
Best score: 2.6573: : 233iter [00:22, 11.83iter/s]
Best score: 2.6573: : 234iter [00:22, 11.83iter/s]
Best score: 2.6573: : 235iter [00:22, 11.87iter/s]
Best score: 2.6573: : 235iter [00:22, 11.87iter/s]
Best score: 2.6573: : 236iter [00:22, 11.87iter/s]
Best score: 2.6573: : 237iter [00:22, 11.97iter/s]
Best score: 2.6573: : 237iter [00:22, 11.97iter/s]
Best score: 2.6573: : 238iter [00:22, 11.97iter/s]
Best score: 2.6573: : 239iter [00:22, 12.07iter/s]
Best score: 2.6573: : 239iter [00:22, 12.07iter/s]
Best score: 2.6573: : 240iter [00:23, 12.07iter/s]
Best score: 2.6573: : 241iter [00:23, 11.94iter/s]
Best score: 2.6573: : 241iter [00:23, 11.94iter/s]
Best score: 2.6573: : 242iter [00:23, 11.94iter/s]
Best score: 2.6573: : 243iter [00:23, 12.03iter/s]
Best score: 2.6573: : 243iter [00:23, 12.03iter/s]
Best score: 2.6573: : 244iter [00:23, 12.03iter/s]
Best score: 2.6573: : 245iter [00:23, 12.08iter/s]
Best score: 2.6573: : 245iter [00:23, 12.08iter/s]
Best score: 2.6573: : 246iter [00:23, 12.08iter/s]
Best score: 2.6573: : 247iter [00:23, 12.15iter/s]
Best score: 2.6573: : 247iter [00:23, 12.15iter/s]
Best score: 2.6573: : 248iter [00:23, 12.15iter/s]
Best score: 2.6573: : 249iter [00:23, 12.18iter/s]
[ITER 250] Best: 2.6573
[PARAMS] Current best parameters:
  fx: 600.9247
  fy: 601.4347
  px: 1003.7694
  py: 762.2215
  k1: -0.04587739
  k2: -0.02452177
  k3: 0.00576271
  k4: 0.00333086
  p1: 0.00788624
  p2: -0.00000989
  p3: 0.00611988
  p4: -0.01338112
  s1: 0.0065
  s2: -0.0068
  s3: -0.0150
  s4: 0.0294
  tilt_x: 0.0787
  tilt_y: 0.0351
  scale: 2.9671
  rotation: -0.7841

Best score: 2.6573: : 249iter [00:23, 12.18iter/s]
Best score: 2.6573: : 250iter [00:24, 12.18iter/s]
Best score: 2.6573: : 251iter [00:24,  7.81iter/s]
Best score: 2.6573: : 251iter [00:24,  7.81iter/s]
Best score: 2.6573: : 252iter [00:24,  7.81iter/s]
Best score: 2.6573: : 253iter [00:24,  8.78iter/s]
Best score: 2.6573: : 253iter [00:24,  8.78iter/s]
Best score: 2.6573: : 254iter [00:24,  8.78iter/s]
Best score: 2.6573: : 255iter [00:24,  9.61iter/s]
Best score: 2.6573: : 255iter [00:24,  9.61iter/s]
Best score: 2.6573: : 256iter [00:24,  9.61iter/s]
Best score: 2.6573: : 257iter [00:24, 10.29iter/s]
Best score: 2.6573: : 257iter [00:24, 10.29iter/s]
Best score: 2.6573: : 258iter [00:24, 10.29iter/s]
Best score: 2.6573: : 259iter [00:24, 10.85iter/s]
Best score: 2.6573: : 259iter [00:24, 10.85iter/s]
Best score: 2.6573: : 260iter [00:24, 10.85iter/s]
Best score: 2.6573: : 261iter [00:24, 11.09iter/s]
Best score: 2.6573: : 261iter [00:25, 11.09iter/s]
Best score: 2.6573: : 262iter [00:25, 11.09iter/s]
Best score: 2.6573: : 263iter [00:25, 11.47iter/s]
Best score: 2.6573: : 263iter [00:25, 11.47iter/s]
Best score: 2.6573: : 264iter [00:25, 11.47iter/s]
Best score: 2.6573: : 265iter [00:25, 11.74iter/s]
Best score: 2.6573: : 265iter [00:25, 11.74iter/s]
Best score: 2.6573: : 266iter [00:25, 11.74iter/s]
Best score: 2.6573: : 267iter [00:25, 11.89iter/s]
Best score: 2.6573: : 267iter [00:25, 11.89iter/s]
Best score: 2.6573: : 268iter [00:25, 11.89iter/s]
Best score: 2.6573: : 269iter [00:25, 12.01iter/s]
Best score: 2.6573: : 269iter [00:25, 12.01iter/s]
Best score: 2.6573: : 270iter [00:25, 12.01iter/s]
Best score: 2.6573: : 271iter [00:25, 11.86iter/s]
Best score: 2.6573: : 271iter [00:25, 11.86iter/s]
Best score: 2.6573: : 272iter [00:25, 11.86iter/s]
Best score: 2.6573: : 273iter [00:25, 11.97iter/s]
Best score: 2.6573: : 273iter [00:26, 11.97iter/s]
Best score: 2.6573: : 274iter [00:26, 11.97iter/s]
Best score: 2.6573: : 275iter [00:26, 12.06iter/s]
Best score: 2.6573: : 275iter [00:26, 12.06iter/s]
Best score: 2.6573: : 276iter [00:26, 12.06iter/s]
Best score: 2.6573: : 277iter [00:26, 12.10iter/s]
Best score: 2.6573: : 277iter [00:26, 12.10iter/s]
Best score: 2.6573: : 278iter [00:26, 12.10iter/s]
Best score: 2.6573: : 279iter [00:26, 12.16iter/s]
Best score: 2.6573: : 279iter [00:26, 12.16iter/s]
Best score: 2.6573: : 280iter [00:26, 12.16iter/s]
Best score: 2.6573: : 281iter [00:26, 12.05iter/s]
Best score: 2.6573: : 281iter [00:26, 12.05iter/s]
Best score: 2.6573: : 282iter [00:26, 12.05iter/s]
Best score: 2.6573: : 283iter [00:26, 12.09iter/s]
Best score: 2.6573: : 283iter [00:26, 12.09iter/s]
Best score: 2.6573: : 284iter [00:26, 12.09iter/s]
Best score: 2.6573: : 285iter [00:26, 12.16iter/s]
Best score: 2.6573: : 285iter [00:26, 12.16iter/s]
Best score: 2.6573: : 286iter [00:27, 12.16iter/s]
Best score: 2.6573: : 287iter [00:27, 12.23iter/s]
Best score: 2.6573: : 287iter [00:27, 12.23iter/s]
Best score: 2.6573: : 288iter [00:27, 12.23iter/s]
Best score: 2.6573: : 289iter [00:27, 12.21iter/s]
Best score: 2.6573: : 289iter [00:27, 12.21iter/s]
Best score: 2.6573: : 290iter [00:27, 12.21iter/s]
Best score: 2.6573: : 291iter [00:27, 12.05iter/s]
Best score: 2.6573: : 291iter [00:27, 12.05iter/s]
Best score: 2.6573: : 292iter [00:27, 12.05iter/s]
Best score: 2.6573: : 293iter [00:27,  8.99iter/s]
Best score: 2.6573: : 293iter [00:27,  8.99iter/s]
Best score: 2.6573: : 294iter [00:27,  8.99iter/s]
Best score: 2.6573: : 295iter [00:27,  9.79iter/s]
Best score: 2.6573: : 295iter [00:28,  9.79iter/s]
Best score: 2.6573: : 296iter [00:28,  9.79iter/s]
Best score: 2.6573: : 297iter [00:28, 10.45iter/s]
Best score: 2.6573: : 297iter [00:28, 10.45iter/s]
Best score: 2.6573: : 298iter [00:28, 10.45iter/s]
Best score: 2.6573: : 299iter [00:28, 10.97iter/s]
[ITER 300] Best: 2.2124
[PARAMS] Current best parameters:
  fx: 606.6821
  fy: 607.1311
  px: 1003.8790
  py: 750.4857
  k1: -0.04213187
  k2: -0.04778597
  k3: 0.02768323
  k4: -0.00300425
  p1: -0.00734326
  p2: 0.00170285
  p3: 0.01308858
  p4: -0.00492262
  s1: 0.0068
  s2: -0.0177
  s3: -0.0168
  s4: 0.0282
  tilt_x: 0.0408
  tilt_y: 0.0355
  scale: 2.9488
  rotation: -0.5914

Best score: 2.2124: : 299iter [00:28, 10.97iter/s]
Best score: 2.2124: : 300iter [00:28, 10.97iter/s]
Best score: 2.2124: : 301iter [00:28,  7.46iter/s]
Best score: 2.2124: : 301iter [00:28,  7.46iter/s]
Best score: 2.2124: : 302iter [00:28,  7.46iter/s]
Best score: 2.2124: : 303iter [00:28,  8.47iter/s]
Best score: 2.2124: : 303iter [00:28,  8.47iter/s]
Best score: 2.2124: : 304iter [00:29,  8.47iter/s]
Best score: 2.2124: : 305iter [00:29,  9.34iter/s]
Best score: 2.2124: : 305iter [00:29,  9.34iter/s]
Best score: 2.2124: : 306iter [00:29,  9.34iter/s]
Best score: 2.2124: : 307iter [00:29, 10.06iter/s]
Best score: 2.2124: : 307iter [00:29, 10.06iter/s]
Best score: 2.2124: : 308iter [00:29, 10.06iter/s]
Best score: 2.2124: : 309iter [00:29, 10.66iter/s]
Best score: 1.7757: : 309iter [00:29, 10.66iter/s]
Best score: 1.7757: : 310iter [00:29, 10.66iter/s]
Best score: 1.7757: : 311iter [00:29, 10.95iter/s]
Best score: 1.7757: : 311iter [00:29, 10.95iter/s]
Best score: 1.7757: : 312iter [00:29, 10.95iter/s]
Best score: 1.7757: : 313iter [00:29, 11.32iter/s]
Best score: 1.7757: : 313iter [00:29, 11.32iter/s]
Best score: 1.7757: : 314iter [00:29, 11.32iter/s]
Best score: 1.7757: : 315iter [00:29, 11.61iter/s]
Best score: 1.7757: : 315iter [00:29, 11.61iter/s]
Best score: 1.7757: : 316iter [00:30, 11.61iter/s]
Best score: 1.7757: : 317iter [00:30, 11.85iter/s]
Best score: 1.7757: : 317iter [00:30, 11.85iter/s]
Best score: 1.7757: : 318iter [00:30, 11.85iter/s]
Best score: 1.7757: : 319iter [00:30, 11.98iter/s]
Best score: 1.7757: : 319iter [00:30, 11.98iter/s]
Best score: 1.7757: : 320iter [00:30, 11.98iter/s]
Best score: 1.7757: : 321iter [00:30, 11.87iter/s]
Best score: 1.7757: : 321iter [00:30, 11.87iter/s]
Best score: 1.7757: : 322iter [00:30, 11.87iter/s]
Best score: 1.7757: : 323iter [00:30, 12.02iter/s]
Best score: 1.7757: : 323iter [00:30, 12.02iter/s]
Best score: 1.7757: : 324iter [00:30, 12.02iter/s]
Best score: 1.7757: : 325iter [00:30, 12.10iter/s]
Best score: 1.7757: : 325iter [00:30, 12.10iter/s]
Best score: 1.7757: : 326iter [00:30, 12.10iter/s]
Best score: 1.7757: : 327iter [00:30, 12.17iter/s]
Best score: 1.7757: : 327iter [00:30, 12.17iter/s]
Best score: 1.7757: : 328iter [00:31, 12.17iter/s]
Best score: 1.7757: : 329iter [00:31, 12.21iter/s]
Best score: 1.1330: : 329iter [00:31, 12.21iter/s]
Best score: 1.1330: : 330iter [00:31, 12.21iter/s]
Best score: 1.1330: : 331iter [00:31, 12.04iter/s]
Best score: 1.1330: : 331iter [00:31, 12.04iter/s]
Best score: 1.1330: : 332iter [00:31, 12.04iter/s]
Best score: 1.1330: : 333iter [00:31, 12.14iter/s]
Best score: 1.1330: : 333iter [00:31, 12.14iter/s]
Best score: 1.1330: : 334iter [00:31, 12.14iter/s]
Best score: 1.1330: : 335iter [00:31, 12.21iter/s]
Best score: 1.1330: : 335iter [00:31, 12.21iter/s]
Best score: 1.1330: : 336iter [00:31, 12.21iter/s]
Best score: 1.1330: : 337iter [00:31, 12.26iter/s]
Best score: 1.1330: : 337iter [00:31, 12.26iter/s]
Best score: 1.1330: : 338iter [00:31, 12.26iter/s]
Best score: 1.1330: : 339iter [00:31, 12.31iter/s]
Best score: 0.9158: : 339iter [00:31, 12.31iter/s]
Best score: 0.9158: : 340iter [00:31, 12.31iter/s]
Best score: 0.9158: : 341iter [00:31, 12.09iter/s]
Best score: 0.9158: : 341iter [00:32, 12.09iter/s]
Best score: 0.9158: : 342iter [00:32, 12.09iter/s]
Best score: 0.9158: : 343iter [00:32, 12.18iter/s]
Best score: 0.9158: : 343iter [00:32, 12.18iter/s]
Best score: 0.9158: : 344iter [00:32, 12.18iter/s]
Best score: 0.9158: : 345iter [00:32, 12.25iter/s]
Best score: 0.9158: : 345iter [00:32, 12.25iter/s]
Best score: 0.9158: : 346iter [00:32, 12.25iter/s]
Best score: 0.9158: : 347iter [00:32, 12.29iter/s]
Best score: 0.9158: : 347iter [00:32, 12.29iter/s]
Best score: 0.9158: : 348iter [00:32, 12.29iter/s]
Best score: 0.9158: : 349iter [00:32, 12.33iter/s]
[ITER 350] Best: 0.5772
[PARAMS] Current best parameters:
  fx: 595.9151
  fy: 596.2421
  px: 1005.1490
  py: 766.3235
  k1: -0.05934059
  k2: -0.00541997
  k3: 0.00545870
  k4: -0.00015278
  p1: 0.01850839
  p2: 0.00735601
  p3: 0.00676243
  p4: -0.02798075
  s1: -0.0076
  s2: 0.0251
  s3: -0.0009
  s4: 0.0251
  tilt_x: 0.0759
  tilt_y: 0.0353
  scale: 2.9918
  rotation: -0.7468

Best score: 0.5772: : 349iter [00:32, 12.33iter/s]
Best score: 0.5772: : 350iter [00:33, 12.33iter/s]
Best score: 0.5772: : 351iter [00:33,  7.85iter/s]
Best score: 0.5772: : 351iter [00:33,  7.85iter/s]
Best score: 0.5772: : 352iter [00:33,  7.85iter/s]
Best score: 0.5772: : 353iter [00:33,  8.82iter/s]
Best score: 0.5772: : 353iter [00:33,  8.82iter/s]
Best score: 0.5772: : 354iter [00:33,  8.82iter/s]
Best score: 0.5772: : 355iter [00:33,  9.63iter/s]
Best score: 0.5772: : 355iter [00:33,  9.63iter/s]
Best score: 0.5772: : 356iter [00:33,  9.63iter/s]
Best score: 0.5772: : 357iter [00:33, 10.32iter/s]
Best score: 0.5772: : 357iter [00:33, 10.32iter/s]
Best score: 0.5772: : 358iter [00:33, 10.32iter/s]
Best score: 0.5772: : 359iter [00:33, 10.85iter/s]
Best score: 0.5772: : 359iter [00:33, 10.85iter/s]
Best score: 0.5772: : 360iter [00:33, 10.85iter/s]
Best score: 0.5772: : 361iter [00:33, 11.08iter/s]
Best score: 0.5772: : 361iter [00:34, 11.08iter/s]
Best score: 0.5772: : 362iter [00:34, 11.08iter/s]
Best score: 0.5772: : 363iter [00:34, 11.41iter/s]
Best score: 0.5772: : 363iter [00:34, 11.41iter/s]
Best score: 0.5772: : 364iter [00:34, 11.41iter/s]
Best score: 0.5772: : 365iter [00:34, 11.68iter/s]
Best score: 0.5772: : 365iter [00:34, 11.68iter/s]
Best score: 0.5772: : 366iter [00:34, 11.68iter/s]
Best score: 0.5772: : 367iter [00:34, 11.84iter/s]
Best score: 0.5772: : 367iter [00:34, 11.84iter/s]
Best score: 0.5772: : 368iter [00:34, 11.84iter/s]
Best score: 0.5772: : 369iter [00:34, 12.01iter/s]
Best score: 0.5772: : 369iter [00:34, 12.01iter/s]
Best score: 0.5772: : 370iter [00:34, 12.01iter/s]
Best score: 0.5772: : 371iter [00:34, 11.91iter/s]
Best score: 0.5772: : 371iter [00:34, 11.91iter/s]
Best score: 0.5772: : 372iter [00:34, 11.91iter/s]
Best score: 0.5772: : 373iter [00:34, 12.06iter/s]
Best score: 0.5772: : 373iter [00:34, 12.06iter/s]
Best score: 0.5772: : 374iter [00:35, 12.06iter/s]
Best score: 0.5772: : 375iter [00:35, 12.16iter/s]
Best score: 0.5772: : 375iter [00:35, 12.16iter/s]
Best score: 0.5772: : 376iter [00:35, 12.16iter/s]
Best score: 0.5772: : 377iter [00:35, 12.24iter/s]
Best score: 0.5772: : 377iter [00:35, 12.24iter/s]
Best score: 0.5772: : 378iter [00:35, 12.24iter/s]
Best score: 0.5772: : 379iter [00:35, 12.31iter/s]
Best score: 0.5772: : 379iter [00:35, 12.31iter/s]
Best score: 0.5772: : 380iter [00:35, 12.31iter/s]
Best score: 0.5772: : 381iter [00:35, 12.12iter/s]
Best score: 0.5772: : 381iter [00:35, 12.12iter/s]
Best score: 0.5772: : 382iter [00:35, 12.12iter/s]
Best score: 0.5772: : 383iter [00:35, 12.09iter/s]
Best score: 0.5772: : 383iter [00:35, 12.09iter/s]
Best score: 0.5772: : 384iter [00:35, 12.09iter/s]
Best score: 0.5772: : 385iter [00:35, 12.18iter/s]
Best score: 0.5772: : 385iter [00:35, 12.18iter/s]
Best score: 0.5772: : 386iter [00:36, 12.18iter/s]
Best score: 0.5772: : 387iter [00:36, 12.25iter/s]
Best score: 0.5772: : 387iter [00:36, 12.25iter/s]
Best score: 0.5772: : 388iter [00:36, 12.25iter/s]
Best score: 0.5772: : 389iter [00:36, 12.29iter/s]
Best score: 0.4885: : 389iter [00:36, 12.29iter/s]
Best score: 0.4885: : 390iter [00:36, 12.29iter/s]
Best score: 0.4885: : 391iter [00:36, 12.11iter/s]
Best score: 0.4885: : 391iter [00:36, 12.11iter/s]
Best score: 0.4885: : 392iter [00:36, 12.11iter/s]
Best score: 0.4885: : 393iter [00:36, 12.11iter/s]
Best score: 0.4885: : 393iter [00:36, 12.11iter/s]
Best score: 0.4885: : 394iter [00:36, 12.11iter/s]
Best score: 0.4885: : 395iter [00:36, 12.17iter/s]
Best score: 0.4885: : 395iter [00:36, 12.17iter/s]
Best score: 0.4885: : 396iter [00:36, 12.17iter/s]
Best score: 0.4885: : 397iter [00:36, 12.18iter/s]
Best score: 0.4885: : 397iter [00:36, 12.18iter/s]
Best score: 0.4885: : 398iter [00:37, 12.18iter/s]
Best score: 0.4885: : 399iter [00:37, 12.14iter/s]
[ITER 400] Best: 0.4395
[PARAMS] Current best parameters:
  fx: 599.5322
  fy: 600.1312
  px: 1004.6282
  py: 759.3381
  k1: -0.05468584
  k2: -0.01603866
  k3: 0.01069559
  k4: -0.00096585
  p1: 0.00674262
  p2: 0.00214524
  p3: 0.01382846
  p4: -0.01063057
  s1: -0.0166
  s2: 0.0124
  s3: -0.0131
  s4: 0.0177
  tilt_x: 0.0608
  tilt_y: 0.0258
  scale: 2.9708
  rotation: -0.8426

Best score: 0.4395: : 399iter [00:37, 12.14iter/s]
Best score: 0.4395: : 400iter [00:37, 12.14iter/s]
Best score: 0.4395: : 401iter [00:37,  7.81iter/s]
Best score: 0.4395: : 401iter [00:37,  7.81iter/s]
Best score: 0.4395: : 402iter [00:37,  7.81iter/s]
Best score: 0.4395: : 403iter [00:37,  8.78iter/s]
Best score: 0.4395: : 403iter [00:37,  8.78iter/s]
Best score: 0.4395: : 404iter [00:37,  8.78iter/s]
Best score: 0.4395: : 405iter [00:37,  9.59iter/s]
Best score: 0.4395: : 405iter [00:37,  9.59iter/s]
Best score: 0.4395: : 406iter [00:38,  9.59iter/s]
Best score: 0.4395: : 407iter [00:38, 10.25iter/s]
Best score: 0.4395: : 407iter [00:38, 10.25iter/s]
Best score: 0.4395: : 408iter [00:38, 10.25iter/s]
Best score: 0.4395: : 409iter [00:38, 10.79iter/s]
Best score: 0.4395: : 409iter [00:38, 10.79iter/s]
Best score: 0.4395: : 410iter [00:38, 10.79iter/s]
Best score: 0.4395: : 411iter [00:38, 11.03iter/s]
Best score: 0.4395: : 411iter [00:38, 11.03iter/s]
Best score: 0.4395: : 412iter [00:38, 11.03iter/s]
Best score: 0.4395: : 413iter [00:38, 11.39iter/s]
Best score: 0.4395: : 413iter [00:38, 11.39iter/s]
Best score: 0.4395: : 414iter [00:38, 11.39iter/s]
Best score: 0.4395: : 415iter [00:38, 11.66iter/s]
Best score: 0.4395: : 415iter [00:38, 11.66iter/s]
Best score: 0.4395: : 416iter [00:38, 11.66iter/s]
Best score: 0.4395: : 417iter [00:38, 11.85iter/s]
Best score: 0.4395: : 417iter [00:38, 11.85iter/s]
Best score: 0.4395: : 418iter [00:38, 11.85iter/s]
Best score: 0.4395: : 419iter [00:38, 11.99iter/s]
Best score: 0.4395: : 419iter [00:39, 11.99iter/s]
Best score: 0.4395: : 420iter [00:39, 11.99iter/s]
Best score: 0.4395: : 421iter [00:39, 11.90iter/s]
Best score: 0.4395: : 421iter [00:39, 11.90iter/s]
Best score: 0.4395: : 422iter [00:39, 11.90iter/s]
Best score: 0.4395: : 423iter [00:39, 12.04iter/s]
Best score: 0.4395: : 423iter [00:39, 12.04iter/s]
Best score: 0.4395: : 424iter [00:39, 12.04iter/s]
Best score: 0.4395: : 425iter [00:39, 12.15iter/s]
Best score: 0.4395: : 425iter [00:39, 12.15iter/s]
Best score: 0.4395: : 426iter [00:39, 12.15iter/s]
Best score: 0.4395: : 427iter [00:39, 12.22iter/s]
Best score: 0.4395: : 427iter [00:39, 12.22iter/s]
Best score: 0.4395: : 428iter [00:39, 12.22iter/s]
Best score: 0.4395: : 429iter [00:39, 12.28iter/s]
Best score: 0.3867: : 429iter [00:39, 12.28iter/s]
Best score: 0.3867: : 430iter [00:39, 12.28iter/s]
Best score: 0.3867: : 431iter [00:39, 12.10iter/s]
Best score: 0.3867: : 431iter [00:40, 12.10iter/s]
Best score: 0.3867: : 432iter [00:40, 12.10iter/s]
Best score: 0.3867: : 433iter [00:40, 12.18iter/s]
Best score: 0.3867: : 433iter [00:40, 12.18iter/s]
Best score: 0.3867: : 434iter [00:40, 12.18iter/s]
Best score: 0.3867: : 435iter [00:40, 12.24iter/s]
Best score: 0.3867: : 435iter [00:40, 12.24iter/s]
Best score: 0.3867: : 436iter [00:40, 12.24iter/s]
Best score: 0.3867: : 437iter [00:40, 12.29iter/s]
Best score: 0.3867: : 437iter [00:40, 12.29iter/s]
Best score: 0.3867: : 438iter [00:40, 12.29iter/s]
Best score: 0.3867: : 439iter [00:40, 12.31iter/s]
Best score: 0.3867: : 439iter [00:40, 12.31iter/s]
Best score: 0.3867: : 440iter [00:40, 12.31iter/s]
Best score: 0.3867: : 441iter [00:40, 12.14iter/s]
Best score: 0.3867: : 441iter [00:40, 12.14iter/s]
Best score: 0.3867: : 442iter [00:40, 12.14iter/s]
Best score: 0.3867: : 443iter [00:40, 12.15iter/s]
Best score: 0.3867: : 443iter [00:41, 12.15iter/s]
Best score: 0.3867: : 444iter [00:41, 12.15iter/s]
Best score: 0.3867: : 445iter [00:41, 12.12iter/s]
Best score: 0.3867: : 445iter [00:41, 12.12iter/s]
Best score: 0.3867: : 446iter [00:41, 12.12iter/s]
Best score: 0.3867: : 447iter [00:41, 12.14iter/s]
Best score: 0.3867: : 447iter [00:41, 12.14iter/s]
Best score: 0.3867: : 448iter [00:41, 12.14iter/s]
Best score: 0.3867: : 449iter [00:41, 12.12iter/s]
[ITER 450] Best: 0.3455
[PARAMS] Current best parameters:
  fx: 594.6107
  fy: 595.1723
  px: 1011.1682
  py: 759.1266
  k1: -0.06652197
  k2: 0.00514051
  k3: 0.00156290
  k4: 0.00006235
  p1: 0.00690834
  p2: 0.02058807
  p3: 0.01337744
  p4: -0.02882276
  s1: -0.0267
  s2: 0.0299
  s3: -0.0046
  s4: 0.0234
  tilt_x: 0.0595
  tilt_y: 0.0272
  scale: 2.9959
  rotation: -0.8301

Best score: 0.3455: : 449iter [00:41, 12.12iter/s]
Best score: 0.3455: : 450iter [00:41, 12.12iter/s]
Best score: 0.3455: : 451iter [00:41,  7.80iter/s]
Best score: 0.3455: : 451iter [00:41,  7.80iter/s]
Best score: 0.3455: : 452iter [00:42,  7.80iter/s]
Best score: 0.3455: : 453iter [00:42,  8.77iter/s]
Best score: 0.3455: : 453iter [00:42,  8.77iter/s]
Best score: 0.3455: : 454iter [00:42,  8.77iter/s]
Best score: 0.3455: : 455iter [00:42,  9.61iter/s]
Best score: 0.3455: : 455iter [00:42,  9.61iter/s]
Best score: 0.3455: : 456iter [00:42,  9.61iter/s]
Best score: 0.3455: : 457iter [00:42, 10.29iter/s]
Best score: 0.3455: : 457iter [00:42, 10.29iter/s]
Best score: 0.3455: : 458iter [00:42, 10.29iter/s]
Best score: 0.3455: : 459iter [00:42, 10.84iter/s]
Best score: 0.3184: : 459iter [00:42, 10.84iter/s]
Best score: 0.3184: : 460iter [00:42, 10.84iter/s]
Best score: 0.3184: : 461iter [00:42, 11.09iter/s]
Best score: 0.3184: : 461iter [00:42, 11.09iter/s]
Best score: 0.3184: : 462iter [00:42, 11.09iter/s]
Best score: 0.3184: : 463iter [00:42, 11.46iter/s]
Best score: 0.3184: : 463iter [00:42, 11.46iter/s]
Best score: 0.3184: : 464iter [00:43, 11.46iter/s]
Best score: 0.3184: : 465iter [00:43, 11.72iter/s]
Best score: 0.3184: : 465iter [00:43, 11.72iter/s]
Best score: 0.3184: : 466iter [00:43, 11.72iter/s]
Best score: 0.3184: : 467iter [00:43, 11.91iter/s]
Best score: 0.3184: : 467iter [00:43, 11.91iter/s]
Best score: 0.3184: : 468iter [00:43, 11.91iter/s]
Best score: 0.3184: : 469iter [00:43, 12.02iter/s]
Best score: 0.3184: : 469iter [00:43, 12.02iter/s]
Best score: 0.3184: : 470iter [00:43, 12.02iter/s]
Best score: 0.3184: : 471iter [00:43, 11.91iter/s]
Best score: 0.3184: : 471iter [00:43, 11.91iter/s]
Best score: 0.3184: : 472iter [00:43, 11.91iter/s]
Best score: 0.3184: : 473iter [00:43, 11.98iter/s]
Best score: 0.3184: : 473iter [00:43, 11.98iter/s]
Best score: 0.3184: : 474iter [00:43, 11.98iter/s]
Best score: 0.3184: : 475iter [00:43, 12.10iter/s]
Best score: 0.3184: : 475iter [00:43, 12.10iter/s]
Best score: 0.3184: : 476iter [00:44, 12.10iter/s]
Best score: 0.3184: : 477iter [00:44, 12.19iter/s]
Best score: 0.3184: : 477iter [00:44, 12.19iter/s]
Best score: 0.3184: : 478iter [00:44, 12.19iter/s]
Best score: 0.3184: : 479iter [00:44, 12.18iter/s]
Best score: 0.2961: : 479iter [00:44, 12.18iter/s]
Best score: 0.2961: : 480iter [00:44, 12.18iter/s]
Best score: 0.2961: : 481iter [00:44, 12.01iter/s]
Best score: 0.2961: : 481iter [00:44, 12.01iter/s]
Best score: 0.2961: : 482iter [00:44, 12.01iter/s]
Best score: 0.2961: : 483iter [00:44, 12.08iter/s]
Best score: 0.2961: : 483iter [00:44, 12.08iter/s]
Best score: 0.2961: : 484iter [00:44, 12.08iter/s]
Best score: 0.2961: : 485iter [00:44, 12.18iter/s]
Best score: 0.2961: : 485iter [00:44, 12.18iter/s]
Best score: 0.2961: : 486iter [00:44, 12.18iter/s]
Best score: 0.2961: : 487iter [00:44, 12.25iter/s]
Best score: 0.2961: : 487iter [00:44, 12.25iter/s]
Best score: 0.2961: : 488iter [00:45, 12.25iter/s]
Best score: 0.2961: : 489iter [00:45, 12.30iter/s]
Best score: 0.2961: : 489iter [00:45, 12.30iter/s]
Best score: 0.2961: : 490iter [00:45, 12.30iter/s]
Best score: 0.2961: : 491iter [00:45, 12.12iter/s]
Best score: 0.2961: : 491iter [00:45, 12.12iter/s]
Best score: 0.2961: : 492iter [00:45, 12.12iter/s]
Best score: 0.2961: : 493iter [00:45, 12.21iter/s]
Best score: 0.2961: : 493iter [00:45, 12.21iter/s]
Best score: 0.2961: : 494iter [00:45, 12.21iter/s]
Best score: 0.2961: : 495iter [00:45, 12.27iter/s]
Best score: 0.2961: : 495iter [00:45, 12.27iter/s]
Best score: 0.2961: : 496iter [00:45, 12.27iter/s]
Best score: 0.2961: : 497iter [00:45, 12.30iter/s]
Best score: 0.2961: : 497iter [00:45, 12.30iter/s]
Best score: 0.2961: : 498iter [00:45, 12.30iter/s]
Best score: 0.2961: : 499iter [00:45, 12.27iter/s]
[ITER 500] Best: 0.2961
[PARAMS] Current best parameters:
  fx: 588.9980
  fy: 589.4356
  px: 1009.5105
  py: 757.5713
  k1: -0.05611107
  k2: -0.00254154
  k3: 0.00624072
  k4: -0.00137758
  p1: 0.00312947
  p2: 0.01456222
  p3: 0.01183975
  p4: -0.02570865
  s1: -0.0205
  s2: 0.0246
  s3: -0.0070
  s4: 0.0263
  tilt_x: 0.0585
  tilt_y: 0.0228
  scale: 2.9913
  rotation: -0.8220

Best score: 0.2961: : 499iter [00:45, 12.27iter/s]
Best score: 0.2961: : 500iter [00:46, 12.27iter/s]
Best score: 0.2961: : 501iter [00:46,  7.84iter/s]
Best score: 0.2961: : 501iter [00:46,  7.84iter/s]
Best score: 0.2961: : 502iter [00:46,  7.84iter/s]
Best score: 0.2961: : 503iter [00:46,  8.80iter/s]
Best score: 0.2961: : 503iter [00:46,  8.80iter/s]
Best score: 0.2961: : 504iter [00:46,  8.80iter/s]
Best score: 0.2961: : 505iter [00:46,  9.64iter/s]
Best score: 0.2961: : 505iter [00:46,  9.64iter/s]
Best score: 0.2961: : 506iter [00:46,  9.64iter/s]
Best score: 0.2961: : 507iter [00:46, 10.33iter/s]
Best score: 0.2961: : 507iter [00:46, 10.33iter/s]
Best score: 0.2961: : 508iter [00:46, 10.33iter/s]
Best score: 0.2961: : 509iter [00:46, 10.83iter/s]
Best score: 0.2585: : 509iter [00:47, 10.83iter/s]
Best score: 0.2585: : 510iter [00:47, 10.83iter/s]
Best score: 0.2585: : 511iter [00:47, 11.08iter/s]
Best score: 0.2585: : 511iter [00:47, 11.08iter/s]
Best score: 0.2585: : 512iter [00:47, 11.08iter/s]
Best score: 0.2585: : 513iter [00:47, 11.44iter/s]
Best score: 0.2585: : 513iter [00:47, 11.44iter/s]
Best score: 0.2585: : 514iter [00:47, 11.44iter/s]
Best score: 0.2585: : 515iter [00:47, 11.71iter/s]
Best score: 0.2585: : 515iter [00:47, 11.71iter/s]
Best score: 0.2585: : 516iter [00:47, 11.71iter/s]
Best score: 0.2585: : 517iter [00:47, 11.90iter/s]
Best score: 0.2585: : 517iter [00:47, 11.90iter/s]
Best score: 0.2585: : 518iter [00:47, 11.90iter/s]
Best score: 0.2585: : 519iter [00:47, 12.05iter/s]
Best score: 0.2455: : 519iter [00:47, 12.05iter/s]
Best score: 0.2455: : 520iter [00:47, 12.05iter/s]
Best score: 0.2455: : 521iter [00:47, 11.94iter/s]
Best score: 0.2455: : 521iter [00:48, 11.94iter/s]
Best score: 0.2455: : 522iter [00:48, 11.94iter/s]
Best score: 0.2455: : 523iter [00:48, 12.05iter/s]
Best score: 0.2455: : 523iter [00:48, 12.05iter/s]
Best score: 0.2455: : 524iter [00:48, 12.05iter/s]
Best score: 0.2455: : 525iter [00:48, 12.15iter/s]
Best score: 0.2455: : 525iter [00:48, 12.15iter/s]
Best score: 0.2455: : 526iter [00:48, 12.15iter/s]
Best score: 0.2455: : 527iter [00:48, 12.22iter/s]
Best score: 0.2455: : 527iter [00:48, 12.22iter/s]
Best score: 0.2455: : 528iter [00:48, 12.22iter/s]
Best score: 0.2455: : 529iter [00:48, 12.25iter/s]
Best score: 0.2455: : 529iter [00:48, 12.25iter/s]
Best score: 0.2455: : 530iter [00:48, 12.25iter/s]
Best score: 0.2455: : 531iter [00:48, 12.08iter/s]
Best score: 0.2455: : 531iter [00:48, 12.08iter/s]
Best score: 0.2455: : 532iter [00:48, 12.08iter/s]
Best score: 0.2455: : 533iter [00:48, 12.17iter/s]
Best score: 0.2455: : 533iter [00:49, 12.17iter/s]
Best score: 0.2455: : 534iter [00:49, 12.17iter/s]
Best score: 0.2455: : 535iter [00:49, 12.21iter/s]
Best score: 0.2455: : 535iter [00:49, 12.21iter/s]
Best score: 0.2455: : 536iter [00:49, 12.21iter/s]
Best score: 0.2455: : 537iter [00:49, 12.27iter/s]
Best score: 0.2455: : 537iter [00:49, 12.27iter/s]
Best score: 0.2455: : 538iter [00:49, 12.27iter/s]
Best score: 0.2455: : 539iter [00:49, 12.27iter/s]
Best score: 0.2455: : 539iter [00:49, 12.27iter/s]
Best score: 0.2455: : 540iter [00:49, 12.27iter/s]
Best score: 0.2455: : 541iter [00:49, 12.10iter/s]
Best score: 0.2455: : 541iter [00:49, 12.10iter/s]
Best score: 0.2455: : 542iter [00:49, 12.10iter/s]
Best score: 0.2455: : 543iter [00:49, 12.19iter/s]
Best score: 0.2455: : 543iter [00:49, 12.19iter/s]
Best score: 0.2455: : 544iter [00:49, 12.19iter/s]
Best score: 0.2455: : 545iter [00:49, 12.22iter/s]
Best score: 0.2455: : 545iter [00:49, 12.22iter/s]
Best score: 0.2455: : 546iter [00:50, 12.22iter/s]
Best score: 0.2455: : 547iter [00:50, 12.28iter/s]
Best score: 0.2455: : 547iter [00:50, 12.28iter/s]
Best score: 0.2455: : 548iter [00:50, 12.28iter/s]
Best score: 0.2455: : 549iter [00:50, 12.27iter/s]
[ITER 550] Best: 0.2307
[PARAMS] Current best parameters:
  fx: 601.2934
  fy: 601.5134
  px: 1007.1941
  py: 747.5380
  k1: -0.06995530
  k2: -0.00761026
  k3: 0.01501334
  k4: -0.00390305
  p1: -0.01390778
  p2: 0.00325275
  p3: 0.03224441
  p4: -0.00662734
  s1: -0.0342
  s2: 0.0097
  s3: -0.0225
  s4: 0.0104
  tilt_x: 0.0387
  tilt_y: 0.0114
  scale: 2.9962
  rotation: -0.8709

Best score: 0.2307: : 549iter [00:50, 12.27iter/s]
Best score: 0.2307: : 550iter [00:50, 12.27iter/s]
Best score: 0.2307: : 551iter [00:50,  7.83iter/s]
Best score: 0.2307: : 551iter [00:50,  7.83iter/s]
Best score: 0.2307: : 552iter [00:50,  7.83iter/s]
Best score: 0.2307: : 553iter [00:50,  8.80iter/s]
Best score: 0.2307: : 553iter [00:50,  8.80iter/s]
Best score: 0.2307: : 554iter [00:51,  8.80iter/s]
Best score: 0.2307: : 555iter [00:51,  9.63iter/s]
Best score: 0.2307: : 555iter [00:51,  9.63iter/s]
Best score: 0.2307: : 556iter [00:51,  9.63iter/s]
Best score: 0.2307: : 557iter [00:51, 10.32iter/s]
Best score: 0.2307: : 557iter [00:51, 10.32iter/s]
Best score: 0.2307: : 558iter [00:51, 10.32iter/s]
Best score: 0.2307: : 559iter [00:51, 10.86iter/s]
Best score: 0.2271: : 559iter [00:51, 10.86iter/s]
Best score: 0.2271: : 560iter [00:51, 10.86iter/s]
Best score: 0.2271: : 561iter [00:51, 11.10iter/s]
Best score: 0.2271: : 561iter [00:51, 11.10iter/s]
Best score: 0.2271: : 562iter [00:51, 11.10iter/s]
Best score: 0.2271: : 563iter [00:51, 11.46iter/s]
Best score: 0.2271: : 563iter [00:51, 11.46iter/s]
Best score: 0.2271: : 564iter [00:51, 11.46iter/s]
Best score: 0.2271: : 565iter [00:51, 11.72iter/s]
Best score: 0.2271: : 565iter [00:51, 11.72iter/s]
Best score: 0.2271: : 566iter [00:52, 11.72iter/s]
Best score: 0.2271: : 567iter [00:52, 11.91iter/s]
Best score: 0.2271: : 567iter [00:52, 11.91iter/s]
Best score: 0.2271: : 568iter [00:52, 11.91iter/s]
Best score: 0.2271: : 569iter [00:52, 12.05iter/s]
Best score: 0.2214: : 569iter [00:52, 12.05iter/s]
Best score: 0.2214: : 570iter [00:52, 12.05iter/s]
Best score: 0.2214: : 571iter [00:52, 11.94iter/s]
Best score: 0.2214: : 571iter [00:52, 11.94iter/s]
Best score: 0.2214: : 572iter [00:52, 11.94iter/s]
Best score: 0.2214: : 573iter [00:52, 12.07iter/s]
Best score: 0.2214: : 573iter [00:52, 12.07iter/s]
Best score: 0.2214: : 574iter [00:52, 12.07iter/s]
Best score: 0.2214: : 575iter [00:52, 12.15iter/s]
Best score: 0.2214: : 575iter [00:52, 12.15iter/s]
Best score: 0.2214: : 576iter [00:52, 12.15iter/s]
Best score: 0.2214: : 577iter [00:52, 12.23iter/s]
Best score: 0.2214: : 577iter [00:52, 12.23iter/s]
Best score: 0.2214: : 578iter [00:52, 12.23iter/s]
Best score: 0.2214: : 579iter [00:52, 12.27iter/s]
Best score: 0.2190: : 579iter [00:53, 12.27iter/s]
Best score: 0.2190: : 580iter [00:53, 12.27iter/s]
Best score: 0.2190: : 581iter [00:53, 12.10iter/s]
Best score: 0.2190: : 581iter [00:53, 12.10iter/s]
Best score: 0.2190: : 582iter [00:53, 12.10iter/s]
Best score: 0.2190: : 583iter [00:53, 12.18iter/s]
Best score: 0.2190: : 583iter [00:53, 12.18iter/s]
Best score: 0.2190: : 584iter [00:53, 12.18iter/s]
Best score: 0.2190: : 585iter [00:53, 12.21iter/s]
Best score: 0.2190: : 585iter [00:53, 12.21iter/s]
Best score: 0.2190: : 586iter [00:53, 12.21iter/s]
Best score: 0.2190: : 587iter [00:53, 12.23iter/s]
Best score: 0.2190: : 587iter [00:53, 12.23iter/s]
Best score: 0.2190: : 588iter [00:53, 12.23iter/s]
Best score: 0.2190: : 589iter [00:53, 12.24iter/s]
Best score: 0.2074: : 589iter [00:53, 12.24iter/s]
Best score: 0.2074: : 590iter [00:53, 12.24iter/s]
Best score: 0.2074: : 591iter [00:53, 12.06iter/s]
Best score: 0.2074: : 591iter [00:54, 12.06iter/s]
Best score: 0.2074: : 592iter [00:54, 12.06iter/s]
Best score: 0.2074: : 593iter [00:54, 12.16iter/s]
Best score: 0.2074: : 593iter [00:54, 12.16iter/s]
Best score: 0.2074: : 594iter [00:54, 12.16iter/s]
Best score: 0.2074: : 595iter [00:54, 12.17iter/s]
Best score: 0.2074: : 595iter [00:54, 12.17iter/s]
Best score: 0.2074: : 596iter [00:54, 12.17iter/s]
Best score: 0.2074: : 597iter [00:54, 12.20iter/s]
Best score: 0.2074: : 597iter [00:54, 12.20iter/s]
Best score: 0.2074: : 598iter [00:54, 12.20iter/s]
Best score: 0.2074: : 599iter [00:54, 12.27iter/s]
[ITER 600] Best: 0.1940
[PARAMS] Current best parameters:
  fx: 596.5717
  fy: 596.6566
  px: 1006.8870
  py: 745.4332
  k1: -0.08043297
  k2: 0.01544118
  k3: 0.00198532
  k4: -0.00151447
  p1: -0.01595583
  p2: 0.00223675
  p3: 0.03073170
  p4: -0.01360158
  s1: -0.0309
  s2: 0.0150
  s3: -0.0189
  s4: 0.0148
  tilt_x: 0.0311
  tilt_y: 0.0118
  scale: 3.0139
  rotation: -0.8806

Best score: 0.1940: : 599iter [00:54, 12.27iter/s]
Best score: 0.1940: : 600iter [00:55, 12.27iter/s]
Best score: 0.1940: : 601iter [00:55,  7.85iter/s]
Best score: 0.1940: : 601iter [00:55,  7.85iter/s]
Best score: 0.1940: : 602iter [00:55,  7.85iter/s]
Best score: 0.1940: : 603iter [00:55,  8.82iter/s]
Best score: 0.1940: : 603iter [00:55,  8.82iter/s]
Best score: 0.1940: : 604iter [00:55,  8.82iter/s]
Best score: 0.1940: : 605iter [00:55,  9.66iter/s]
Best score: 0.1940: : 605iter [00:55,  9.66iter/s]
Best score: 0.1940: : 606iter [00:55,  9.66iter/s]
Best score: 0.1940: : 607iter [00:55, 10.35iter/s]
Best score: 0.1940: : 607iter [00:55, 10.35iter/s]
Best score: 0.1940: : 608iter [00:55, 10.35iter/s]
Best score: 0.1940: : 609iter [00:55, 10.87iter/s]
Best score: 0.1917: : 609iter [00:55, 10.87iter/s]
Best score: 0.1917: : 610iter [00:55, 10.87iter/s]
Best score: 0.1917: : 611iter [00:55, 11.11iter/s]
Best score: 0.1917: : 611iter [00:55, 11.11iter/s]
Best score: 0.1917: : 612iter [00:56, 11.11iter/s]
Best score: 0.1917: : 613iter [00:56, 11.45iter/s]
Best score: 0.1917: : 613iter [00:56, 11.45iter/s]
Best score: 0.1917: : 614iter [00:56, 11.45iter/s]
Best score: 0.1917: : 615iter [00:56, 11.71iter/s]
Best score: 0.1917: : 615iter [00:56, 11.71iter/s]
Best score: 0.1917: : 616iter [00:56, 11.71iter/s]
Best score: 0.1917: : 617iter [00:56, 11.90iter/s]
Best score: 0.1917: : 617iter [00:56, 11.90iter/s]
Best score: 0.1917: : 618iter [00:56, 11.90iter/s]
Best score: 0.1917: : 619iter [00:56, 12.06iter/s]
Best score: 0.1917: : 619iter [00:56, 12.06iter/s]
Best score: 0.1917: : 620iter [00:56, 12.06iter/s]
Best score: 0.1917: : 621iter [00:56, 11.96iter/s]
Best score: 0.1917: : 621iter [00:56, 11.96iter/s]
Best score: 0.1917: : 622iter [00:56, 11.96iter/s]
Best score: 0.1917: : 623iter [00:56, 12.09iter/s]
Best score: 0.1917: : 623iter [00:56, 12.09iter/s]
Best score: 0.1917: : 624iter [00:57, 12.09iter/s]
Best score: 0.1917: : 625iter [00:57, 12.11iter/s]
Best score: 0.1917: : 625iter [00:57, 12.11iter/s]
Best score: 0.1917: : 626iter [00:57, 12.11iter/s]
Best score: 0.1917: : 627iter [00:57, 12.19iter/s]
Best score: 0.1917: : 627iter [00:57, 12.19iter/s]
Best score: 0.1917: : 628iter [00:57, 12.19iter/s]
Best score: 0.1917: : 629iter [00:57, 12.26iter/s]
Best score: 0.1917: : 629iter [00:57, 12.26iter/s]
Best score: 0.1917: : 630iter [00:57, 12.26iter/s]
Best score: 0.1917: : 631iter [00:57, 12.09iter/s]
Best score: 0.1917: : 631iter [00:57, 12.09iter/s]
Best score: 0.1917: : 632iter [00:57, 12.09iter/s]
Best score: 0.1917: : 633iter [00:57, 12.17iter/s]
Best score: 0.1917: : 633iter [00:57, 12.17iter/s]
Best score: 0.1917: : 634iter [00:57, 12.17iter/s]
Best score: 0.1917: : 635iter [00:57, 12.22iter/s]
Best score: 0.1917: : 635iter [00:57, 12.22iter/s]
Best score: 0.1917: : 636iter [00:58, 12.22iter/s]
Best score: 0.1917: : 637iter [00:58, 12.23iter/s]
Best score: 0.1917: : 637iter [00:58, 12.23iter/s]
Best score: 0.1917: : 638iter [00:58, 12.23iter/s]
Best score: 0.1917: : 639iter [00:58, 12.28iter/s]
Best score: 0.1915: : 639iter [00:58, 12.28iter/s]
Best score: 0.1915: : 640iter [00:58, 12.28iter/s]
Best score: 0.1915: : 641iter [00:58, 12.11iter/s]
Best score: 0.1915: : 641iter [00:58, 12.11iter/s]
Best score: 0.1915: : 642iter [00:58, 12.11iter/s]
Best score: 0.1915: : 643iter [00:58, 12.21iter/s]
Best score: 0.1915: : 643iter [00:58, 12.21iter/s]
Best score: 0.1915: : 644iter [00:58, 12.21iter/s]
Best score: 0.1915: : 645iter [00:58, 12.28iter/s]
Best score: 0.1915: : 645iter [00:58, 12.28iter/s]
Best score: 0.1915: : 646iter [00:58, 12.28iter/s]
Best score: 0.1915: : 647iter [00:58, 12.32iter/s]
Best score: 0.1915: : 647iter [00:58, 12.32iter/s]
Best score: 0.1915: : 648iter [00:59, 12.32iter/s]
Best score: 0.1915: : 649iter [00:59, 12.35iter/s]
[ITER 650] Best: 0.1915
[PARAMS] Current best parameters:
  fx: 595.4740
  fy: 595.6551
  px: 1006.8866
  py: 746.0069
  k1: -0.07249796
  k2: 0.00583568
  k3: 0.00671302
  k4: -0.00235817
  p1: -0.01524167
  p2: 0.00209569
  p3: 0.02853468
  p4: -0.01065216
  s1: -0.0304
  s2: 0.0127
  s3: -0.0164
  s4: 0.0117
  tilt_x: 0.0327
  tilt_y: 0.0107
  scale: 3.0047
  rotation: -0.8985

Best score: 0.1915: : 649iter [00:59, 12.35iter/s]
Best score: 0.1915: : 650iter [00:59, 12.35iter/s]
Best score: 0.1915: : 651iter [00:59,  7.89iter/s]
Best score: 0.1915: : 651iter [00:59,  7.89iter/s]
Best score: 0.1915: : 652iter [00:59,  7.89iter/s]
Best score: 0.1915: : 653iter [00:59,  8.86iter/s]
Best score: 0.1915: : 653iter [00:59,  8.86iter/s]
Best score: 0.1915: : 654iter [00:59,  8.86iter/s]
Best score: 0.1915: : 655iter [00:59,  9.69iter/s]
Best score: 0.1915: : 655iter [00:59,  9.69iter/s]
Best score: 0.1915: : 656iter [00:59,  9.69iter/s]
Best score: 0.1915: : 657iter [00:59, 10.38iter/s]
Best score: 0.1915: : 657iter [01:00, 10.38iter/s]
Best score: 0.1915: : 658iter [01:00, 10.38iter/s]
Best score: 0.1915: : 659iter [01:00, 10.90iter/s]
Best score: 0.1897: : 659iter [01:00, 10.90iter/s]
Best score: 0.1897: : 660iter [01:00, 10.90iter/s]
Best score: 0.1897: : 661iter [01:00, 11.15iter/s]
Best score: 0.1897: : 661iter [01:00, 11.15iter/s]
Best score: 0.1897: : 662iter [01:00, 11.15iter/s]
Best score: 0.1897: : 663iter [01:00, 11.50iter/s]
Best score: 0.1897: : 663iter [01:00, 11.50iter/s]
Best score: 0.1897: : 664iter [01:00, 11.50iter/s]
Best score: 0.1897: : 665iter [01:00, 11.71iter/s]
Best score: 0.1897: : 665iter [01:00, 11.71iter/s]
Best score: 0.1897: : 666iter [01:00, 11.71iter/s]
Best score: 0.1897: : 667iter [01:00, 11.92iter/s]
Best score: 0.1897: : 667iter [01:00, 11.92iter/s]
Best score: 0.1897: : 668iter [01:00, 11.92iter/s]
Best score: 0.1897: : 669iter [01:00, 12.05iter/s]
Best score: 0.1879: : 669iter [01:01, 12.05iter/s]
Best score: 0.1879: : 670iter [01:01, 12.05iter/s]
Best score: 0.1879: : 671iter [01:01, 11.94iter/s]
Best score: 0.1879: : 671iter [01:01, 11.94iter/s]
Best score: 0.1879: : 672iter [01:01, 11.94iter/s]
Best score: 0.1879: : 673iter [01:01, 12.05iter/s]
Best score: 0.1879: : 673iter [01:01, 12.05iter/s]
Best score: 0.1879: : 674iter [01:01, 12.05iter/s]
Best score: 0.1879: : 675iter [01:01, 12.15iter/s]
Best score: 0.1879: : 675iter [01:01, 12.15iter/s]
Best score: 0.1879: : 676iter [01:01, 12.15iter/s]
Best score: 0.1879: : 677iter [01:01, 12.24iter/s]
Best score: 0.1879: : 677iter [01:01, 12.24iter/s]
Best score: 0.1879: : 678iter [01:01, 12.24iter/s]
Best score: 0.1879: : 679iter [01:01, 12.29iter/s]
Best score: 0.1866: : 679iter [01:01, 12.29iter/s]
Best score: 0.1866: : 680iter [01:01, 12.29iter/s]
Best score: 0.1866: : 681iter [01:01, 12.13iter/s]
Best score: 0.1866: : 681iter [01:02, 12.13iter/s]
Best score: 0.1866: : 682iter [01:02, 12.13iter/s]
Best score: 0.1866: : 683iter [01:02, 12.22iter/s]
Best score: 0.1866: : 683iter [01:02, 12.22iter/s]
Best score: 0.1866: : 684iter [01:02, 12.22iter/s]
Best score: 0.1866: : 685iter [01:02, 12.28iter/s]
Best score: 0.1866: : 685iter [01:02, 12.28iter/s]
Best score: 0.1866: : 686iter [01:02, 12.28iter/s]
Best score: 0.1866: : 687iter [01:02, 12.27iter/s]
Best score: 0.1866: : 687iter [01:02, 12.27iter/s]
Best score: 0.1866: : 688iter [01:02, 12.27iter/s]
Best score: 0.1866: : 689iter [01:02, 12.33iter/s]
Best score: 0.1856: : 689iter [01:02, 12.33iter/s]
Best score: 0.1856: : 690iter [01:02, 12.33iter/s]
Best score: 0.1856: : 691iter [01:02, 12.14iter/s]
Best score: 0.1856: : 691iter [01:02, 12.14iter/s]
Best score: 0.1856: : 692iter [01:02, 12.14iter/s]
Best score: 0.1856: : 693iter [01:02, 12.21iter/s]
Best score: 0.1856: : 693iter [01:02, 12.21iter/s]
Best score: 0.1856: : 694iter [01:03, 12.21iter/s]
Best score: 0.1856: : 695iter [01:03, 12.27iter/s]
Best score: 0.1856: : 695iter [01:03, 12.27iter/s]
Best score: 0.1856: : 696iter [01:03, 12.27iter/s]
Best score: 0.1856: : 697iter [01:03, 12.31iter/s]
Best score: 0.1856: : 697iter [01:03, 12.31iter/s]
Best score: 0.1856: : 698iter [01:03, 12.31iter/s]
Best score: 0.1856: : 699iter [01:03, 12.34iter/s]
[ITER 700] Best: 0.1850
[PARAMS] Current best parameters:
  fx: 595.4631
  fy: 595.5769
  px: 1006.0649
  py: 744.9928
  k1: -0.07418872
  k2: 0.00818931
  k3: 0.00559652
  k4: -0.00216683
  p1: -0.01510904
  p2: 0.00068569
  p3: 0.02766631
  p4: -0.00842622
  s1: -0.0270
  s2: 0.0087
  s3: -0.0162
  s4: 0.0087
  tilt_x: 0.0269
  tilt_y: 0.0126
  scale: 3.0059
  rotation: -0.8799

Best score: 0.1850: : 699iter [01:03, 12.34iter/s]
Best score: 0.1850: : 700iter [01:03, 12.34iter/s]
Best score: 0.1850: : 701iter [01:03,  7.86iter/s]
Best score: 0.1850: : 701iter [01:03,  7.86iter/s]
Best score: 0.1850: : 702iter [01:04,  7.86iter/s]
Best score: 0.1850: : 703iter [01:04,  8.81iter/s]
Best score: 0.1850: : 703iter [01:04,  8.81iter/s]
Best score: 0.1850: : 704iter [01:04,  8.81iter/s]
Best score: 0.1850: : 705iter [01:04,  9.65iter/s]
Best score: 0.1850: : 705iter [01:04,  9.65iter/s]
Best score: 0.1850: : 706iter [01:04,  9.65iter/s]
Best score: 0.1850: : 707iter [01:04, 10.34iter/s]
Best score: 0.1850: : 707iter [01:04, 10.34iter/s]
Best score: 0.1850: : 708iter [01:04, 10.34iter/s]
Best score: 0.1850: : 709iter [01:04, 10.89iter/s]
Best score: 0.1850: : 709iter [01:04, 10.89iter/s]
Best score: 0.1850: : 710iter [01:04, 10.89iter/s]
Best score: 0.1850: : 711iter [01:04, 11.07iter/s]
Best score: 0.1850: : 711iter [01:04, 11.07iter/s]
Best score: 0.1850: : 712iter [01:04, 11.07iter/s]
Best score: 0.1850: : 713iter [01:04, 11.40iter/s]
Best score: 0.1850: : 713iter [01:04, 11.40iter/s]
Best score: 0.1850: : 714iter [01:05, 11.40iter/s]
Best score: 0.1850: : 715iter [01:05, 11.67iter/s]
Best score: 0.1850: : 715iter [01:05, 11.67iter/s]
Best score: 0.1850: : 716iter [01:05, 11.67iter/s]
Best score: 0.1850: : 717iter [01:05, 11.89iter/s]
Best score: 0.1850: : 717iter [01:05, 11.89iter/s]
Best score: 0.1850: : 718iter [01:05, 11.89iter/s]
Best score: 0.1850: : 719iter [01:05, 12.04iter/s]
Best score: 0.1844: : 719iter [01:05, 12.04iter/s]
Best score: 0.1844: : 720iter [01:05, 12.04iter/s]
Best score: 0.1844: : 721iter [01:05, 11.95iter/s]
Best score: 0.1844: : 721iter [01:05, 11.95iter/s]
Best score: 0.1844: : 722iter [01:05, 11.95iter/s]
Best score: 0.1844: : 723iter [01:05, 12.07iter/s]
Best score: 0.1844: : 723iter [01:05, 12.07iter/s]
Best score: 0.1844: : 724iter [01:05, 12.07iter/s]
Best score: 0.1844: : 725iter [01:05, 12.17iter/s]
Best score: 0.1844: : 725iter [01:05, 12.17iter/s]
Best score: 0.1844: : 726iter [01:05, 12.17iter/s]
Best score: 0.1844: : 727iter [01:05, 12.25iter/s]
Best score: 0.1844: : 727iter [01:06, 12.25iter/s]
Best score: 0.1844: : 728iter [01:06, 12.25iter/s]
Best score: 0.1844: : 729iter [01:06, 12.29iter/s]
Best score: 0.1844: : 729iter [01:06, 12.29iter/s]
Best score: 0.1844: : 730iter [01:06, 12.29iter/s]
Best score: 0.1844: : 731iter [01:06, 12.13iter/s]
Best score: 0.1844: : 731iter [01:06, 12.13iter/s]
Best score: 0.1844: : 732iter [01:06, 12.13iter/s]
Best score: 0.1844: : 733iter [01:06, 12.22iter/s]
Best score: 0.1844: : 733iter [01:06, 12.22iter/s]
Best score: 0.1844: : 734iter [01:06, 12.22iter/s]
Best score: 0.1844: : 735iter [01:06, 12.28iter/s]
Best score: 0.1844: : 735iter [01:06, 12.28iter/s]
Best score: 0.1844: : 736iter [01:06, 12.28iter/s]
Best score: 0.1844: : 737iter [01:06, 12.34iter/s]
Best score: 0.1844: : 737iter [01:06, 12.34iter/s]
Best score: 0.1844: : 738iter [01:06, 12.34iter/s]
Best score: 0.1844: : 739iter [01:06, 12.36iter/s]
Best score: 0.1844: : 739iter [01:07, 12.36iter/s]
Best score: 0.1844: : 740iter [01:07, 12.36iter/s]
Best score: 0.1844: : 741iter [01:07, 12.16iter/s]
Best score: 0.1844: : 741iter [01:07, 12.16iter/s]
Best score: 0.1844: : 742iter [01:07, 12.16iter/s]
Best score: 0.1844: : 743iter [01:07, 12.23iter/s]
Best score: 0.1844: : 743iter [01:07, 12.23iter/s]
Best score: 0.1844: : 744iter [01:07, 12.23iter/s]
Best score: 0.1844: : 745iter [01:07, 12.28iter/s]
Best score: 0.1844: : 745iter [01:07, 12.28iter/s]
Best score: 0.1844: : 746iter [01:07, 12.28iter/s]
Best score: 0.1844: : 747iter [01:07, 12.32iter/s]
Best score: 0.1844: : 747iter [01:07, 12.32iter/s]
Best score: 0.1844: : 748iter [01:07, 12.32iter/s]
Best score: 0.1844: : 749iter [01:07, 12.31iter/s]
[ITER 750] Best: 0.1842
[PARAMS] Current best parameters:
  fx: 597.2723
  fy: 597.4124
  px: 1005.8521
  py: 744.3644
  k1: -0.07792300
  k2: 0.01079766
  k3: 0.00477720
  k4: -0.00214505
  p1: -0.01599304
  p2: 0.00047844
  p3: 0.02863965
  p4: -0.00905482
  s1: -0.0273
  s2: 0.0086
  s3: -0.0184
  s4: 0.0108
  tilt_x: 0.0255
  tilt_y: 0.0130
  scale: 3.0076
  rotation: -0.8752

Best score: 0.1842: : 749iter [01:07, 12.31iter/s]
Best score: 0.1842: : 750iter [01:08, 12.31iter/s]
Best score: 0.1842: : 751iter [01:08,  7.86iter/s]
Best score: 0.1842: : 751iter [01:08,  7.86iter/s]
Best score: 0.1842: : 752iter [01:08,  7.86iter/s]
Best score: 0.1842: : 753iter [01:08,  8.83iter/s]
Best score: 0.1842: : 753iter [01:08,  8.83iter/s]
Best score: 0.1842: : 754iter [01:08,  8.83iter/s]
Best score: 0.1842: : 755iter [01:08,  9.66iter/s]
Best score: 0.1842: : 755iter [01:08,  9.66iter/s]
Best score: 0.1842: : 756iter [01:08,  9.66iter/s]
Best score: 0.1842: : 757iter [01:08, 10.33iter/s]
Best score: 0.1842: : 757iter [01:08, 10.33iter/s]
Best score: 0.1842: : 758iter [01:08, 10.33iter/s]
Best score: 0.1842: : 759iter [01:08, 10.86iter/s]
Best score: 0.1837: : 759iter [01:08, 10.86iter/s]
Best score: 0.1837: : 760iter [01:09, 10.86iter/s]
Best score: 0.1837: : 761iter [01:09, 11.11iter/s]
Best score: 0.1837: : 761iter [01:09, 11.11iter/s]
Best score: 0.1837: : 762iter [01:09, 11.11iter/s]
Best score: 0.1837: : 763iter [01:09, 11.47iter/s]
Best score: 0.1837: : 763iter [01:09, 11.47iter/s]
Best score: 0.1837: : 764iter [01:09, 11.47iter/s]
Best score: 0.1837: : 765iter [01:09, 11.75iter/s]
Best score: 0.1837: : 765iter [01:09, 11.75iter/s]
Best score: 0.1837: : 766iter [01:09, 11.75iter/s]
Best score: 0.1837: : 767iter [01:09, 11.93iter/s]
Best score: 0.1837: : 767iter [01:09, 11.93iter/s]
Best score: 0.1837: : 768iter [01:09, 11.93iter/s]
Best score: 0.1837: : 769iter [01:09,  9.27iter/s]
Best score: 0.1837: : 769iter [01:09,  9.27iter/s]
Best score: 0.1837: : 770iter [01:10,  9.27iter/s]
Best score: 0.1837: : 771iter [01:10,  9.86iter/s]
Best score: 0.1837: : 771iter [01:10,  9.86iter/s]
Best score: 0.1837: : 772iter [01:10,  9.86iter/s]
Best score: 0.1837: : 773iter [01:10, 10.50iter/s]
Best score: 0.1837: : 773iter [01:10, 10.50iter/s]
Best score: 0.1837: : 774iter [01:10, 10.50iter/s]
Best score: 0.1837: : 775iter [01:10, 11.01iter/s]
Best score: 0.1837: : 775iter [01:10, 11.01iter/s]
Best score: 0.1837: : 776iter [01:10, 11.01iter/s]
Best score: 0.1837: : 777iter [01:10, 11.40iter/s]
Best score: 0.1837: : 777iter [01:10, 11.40iter/s]
Best score: 0.1837: : 778iter [01:10, 11.40iter/s]
Best score: 0.1837: : 779iter [01:10, 11.70iter/s]
Best score: 0.1832: : 779iter [01:10, 11.70iter/s]
Best score: 0.1832: : 780iter [01:10, 11.70iter/s]
Best score: 0.1832: : 781iter [01:10, 11.71iter/s]
Best score: 0.1832: : 781iter [01:10, 11.71iter/s]
Best score: 0.1832: : 782iter [01:11, 11.71iter/s]
Best score: 0.1832: : 783iter [01:11, 11.92iter/s]
Best score: 0.1832: : 783iter [01:11, 11.92iter/s]
Best score: 0.1832: : 784iter [01:11, 11.92iter/s]
Best score: 0.1832: : 785iter [01:11, 12.06iter/s]
Best score: 0.1832: : 785iter [01:11, 12.06iter/s]
Best score: 0.1832: : 786iter [01:11, 12.06iter/s]
Best score: 0.1832: : 787iter [01:11, 12.17iter/s]
Best score: 0.1832: : 787iter [01:11, 12.17iter/s]
Best score: 0.1832: : 788iter [01:11, 12.17iter/s]
Best score: 0.1832: : 789iter [01:11, 12.23iter/s]
Best score: 0.1832: : 789iter [01:11, 12.23iter/s]
Best score: 0.1832: : 790iter [01:11, 12.23iter/s]
Best score: 0.1832: : 791iter [01:11, 12.09iter/s]
Best score: 0.1832: : 791iter [01:11, 12.09iter/s]
Best score: 0.1832: : 792iter [01:11, 12.09iter/s]
Best score: 0.1832: : 793iter [01:11, 12.18iter/s]
Best score: 0.1832: : 793iter [01:11, 12.18iter/s]
Best score: 0.1832: : 794iter [01:11, 12.18iter/s]
Best score: 0.1832: : 795iter [01:11, 12.25iter/s]
Best score: 0.1832: : 795iter [01:12, 12.25iter/s]
Best score: 0.1832: : 796iter [01:12, 12.25iter/s]
Best score: 0.1832: : 797iter [01:12, 12.30iter/s]
Best score: 0.1832: : 797iter [01:12, 12.30iter/s]
Best score: 0.1832: : 798iter [01:12, 12.30iter/s]
Best score: 0.1832: : 799iter [01:12, 12.24iter/s]
[ITER 800] Best: 0.1831
[PARAMS] Current best parameters:
  fx: 597.4172
  fy: 597.5594
  px: 1005.5994
  py: 745.5824
  k1: -0.07673253
  k2: 0.00881587
  k3: 0.00593270
  k4: -0.00237740
  p1: -0.01400601
  p2: 0.00035731
  p3: 0.02847401
  p4: -0.01012545
  s1: -0.0281
  s2: 0.0102
  s3: -0.0177
  s4: 0.0105
  tilt_x: 0.0280
  tilt_y: 0.0140
  scale: 3.0060
  rotation: -0.8782

Best score: 0.1831: : 799iter [01:12, 12.24iter/s]
Best score: 0.1831: : 800iter [01:12, 12.24iter/s]
Best score: 0.1831: : 801iter [01:12,  7.73iter/s]
Best score: 0.1831: : 801iter [01:12,  7.73iter/s]
Best score: 0.1831: : 802iter [01:12,  7.73iter/s]
Best score: 0.1831: : 803iter [01:12,  8.67iter/s]
Best score: 0.1831: : 803iter [01:13,  8.67iter/s]
Best score: 0.1831: : 804iter [01:13,  8.67iter/s]
Best score: 0.1831: : 805iter [01:13,  9.54iter/s]
Best score: 0.1831: : 805iter [01:13,  9.54iter/s]
Best score: 0.1831: : 806iter [01:13,  9.54iter/s]
Best score: 0.1831: : 807iter [01:13, 10.27iter/s]
Best score: 0.1831: : 807iter [01:13, 10.27iter/s]
Best score: 0.1831: : 808iter [01:13, 10.27iter/s]
Best score: 0.1831: : 809iter [01:13, 10.83iter/s]
Best score: 0.1831: : 809iter [01:13, 10.83iter/s]
Best score: 0.1831: : 810iter [01:13, 10.83iter/s]
Best score: 0.1831: : 811iter [01:13, 11.06iter/s]
Best score: 0.1831: : 811iter [01:13, 11.06iter/s]
Best score: 0.1831: : 812iter [01:13, 11.06iter/s]
Best score: 0.1831: : 813iter [01:13, 11.35iter/s]
Best score: 0.1831: : 813iter [01:13, 11.35iter/s]
Best score: 0.1831: : 814iter [01:13, 11.35iter/s]
Best score: 0.1831: : 815iter [01:13, 11.56iter/s]
Best score: 0.1831: : 815iter [01:14, 11.56iter/s]
Best score: 0.1831: : 816iter [01:14, 11.56iter/s]
Best score: 0.1831: : 817iter [01:14, 11.73iter/s]
Best score: 0.1831: : 817iter [01:14, 11.73iter/s]
Best score: 0.1831: : 818iter [01:14, 11.73iter/s]
Best score: 0.1831: : 819iter [01:14, 11.94iter/s]
Best score: 0.1831: : 819iter [01:14, 11.94iter/s]
Best score: 0.1831: : 820iter [01:14, 11.94iter/s]
Best score: 0.1831: : 821iter [01:14, 11.89iter/s]
Best score: 0.1831: : 821iter [01:14, 11.89iter/s]
Best score: 0.1831: : 822iter [01:14, 11.89iter/s]
Best score: 0.1831: : 823iter [01:14, 12.01iter/s]
Best score: 0.1831: : 823iter [01:14, 12.01iter/s]
Best score: 0.1831: : 824iter [01:14, 12.01iter/s]
Best score: 0.1831: : 825iter [01:14, 12.13iter/s]
Best score: 0.1831: : 825iter [01:14, 12.13iter/s]
Best score: 0.1831: : 826iter [01:14, 12.13iter/s]
Best score: 0.1831: : 827iter [01:14, 12.17iter/s]
Best score: 0.1831: : 827iter [01:15, 12.17iter/s]
Best score: 0.1831: : 828iter [01:15, 12.17iter/s]
Best score: 0.1831: : 829iter [01:15, 12.27iter/s]
Best score: 0.1830: : 829iter [01:15, 12.27iter/s]
Best score: 0.1830: : 830iter [01:15, 12.27iter/s]
Best score: 0.1830: : 831iter [01:15, 12.10iter/s]
Best score: 0.1830: : 831iter [01:15, 12.10iter/s]
Best score: 0.1830: : 832iter [01:15, 12.10iter/s]
Best score: 0.1830: : 833iter [01:15, 12.15iter/s]
Best score: 0.1830: : 833iter [01:15, 12.15iter/s]
Best score: 0.1830: : 834iter [01:15, 12.15iter/s]
Best score: 0.1830: : 835iter [01:15, 12.25iter/s]
Best score: 0.1830: : 835iter [01:15, 12.25iter/s]
Best score: 0.1830: : 836iter [01:15, 12.25iter/s]
Best score: 0.1830: : 837iter [01:15, 12.32iter/s]
Best score: 0.1830: : 837iter [01:15, 12.32iter/s]
Best score: 0.1830: : 838iter [01:15, 12.32iter/s]
Best score: 0.1830: : 839iter [01:15, 12.34iter/s]
Best score: 0.1828: : 839iter [01:15, 12.34iter/s]
Best score: 0.1828: : 840iter [01:16, 12.34iter/s]
Best score: 0.1828: : 841iter [01:16, 12.16iter/s]
Best score: 0.1828: : 841iter [01:16, 12.16iter/s]
Best score: 0.1828: : 842iter [01:16, 12.16iter/s]
Best score: 0.1828: : 843iter [01:16, 12.24iter/s]
Best score: 0.1828: : 843iter [01:16, 12.24iter/s]
Best score: 0.1828: : 844iter [01:16, 12.24iter/s]
Best score: 0.1828: : 845iter [01:16, 12.29iter/s]
Best score: 0.1828: : 845iter [01:16, 12.29iter/s]
Best score: 0.1828: : 846iter [01:16, 12.29iter/s]
Best score: 0.1828: : 847iter [01:16, 12.33iter/s]
Best score: 0.1828: : 847iter [01:16, 12.33iter/s]
Best score: 0.1828: : 848iter [01:16, 12.33iter/s]
Best score: 0.1828: : 849iter [01:16, 12.31iter/s]
[ITER 850] Best: 0.1828
[PARAMS] Current best parameters:
  fx: 598.6745
  fy: 598.8400
  px: 1005.7580
  py: 745.6433
  k1: -0.07874605
  k2: 0.01029004
  k3: 0.00492894
  k4: -0.00207373
  p1: -0.01386815
  p2: 0.00158447
  p3: 0.02847584
  p4: -0.01080507
  s1: -0.0292
  s2: 0.0114
  s3: -0.0180
  s4: 0.0116
  tilt_x: 0.0279
  tilt_y: 0.0159
  scale: 3.0065
  rotation: -0.8745

Best score: 0.1828: : 849iter [01:16, 12.31iter/s]
Best score: 0.1828: : 850iter [01:17, 12.31iter/s]
Best score: 0.1828: : 851iter [01:17,  7.83iter/s]
Best score: 0.1828: : 851iter [01:17,  7.83iter/s]
Best score: 0.1828: : 852iter [01:17,  7.83iter/s]
Best score: 0.1828: : 853iter [01:17,  8.80iter/s]
Best score: 0.1828: : 853iter [01:17,  8.80iter/s]
Best score: 0.1828: : 854iter [01:17,  8.80iter/s]
Best score: 0.1828: : 855iter [01:17,  9.65iter/s]
Best score: 0.1828: : 855iter [01:17,  9.65iter/s]
Best score: 0.1828: : 856iter [01:17,  9.65iter/s]
Best score: 0.1828: : 857iter [01:17, 10.34iter/s]
Best score: 0.1828: : 857iter [01:17, 10.34iter/s]
Best score: 0.1828: : 858iter [01:17, 10.34iter/s]
Best score: 0.1828: : 859iter [01:17, 10.86iter/s]
Best score: 0.1825: : 859iter [01:17, 10.86iter/s]
Best score: 0.1825: : 860iter [01:18, 10.86iter/s]
Best score: 0.1825: : 861iter [01:18, 11.07iter/s]
Best score: 0.1825: : 861iter [01:18, 11.07iter/s]
Best score: 0.1825: : 862iter [01:18, 11.07iter/s]
Best score: 0.1825: : 863iter [01:18, 11.39iter/s]
Best score: 0.1825: : 863iter [01:18, 11.39iter/s]
Best score: 0.1825: : 864iter [01:18, 11.39iter/s]
Best score: 0.1825: : 865iter [01:18, 11.66iter/s]
Best score: 0.1825: : 865iter [01:18, 11.66iter/s]
Best score: 0.1825: : 866iter [01:18, 11.66iter/s]
Best score: 0.1825: : 867iter [01:18, 11.84iter/s]
Best score: 0.1825: : 867iter [01:18, 11.84iter/s]
Best score: 0.1825: : 868iter [01:18, 11.84iter/s]
Best score: 0.1825: : 869iter [01:18, 12.02iter/s]
Best score: 0.1825: : 869iter [01:18, 12.02iter/s]
Best score: 0.1825: : 870iter [01:18, 12.02iter/s]
Best score: 0.1825: : 871iter [01:18, 11.94iter/s]
Best score: 0.1825: : 871iter [01:18, 11.94iter/s]
Best score: 0.1825: : 872iter [01:18, 11.94iter/s]
Best score: 0.1825: : 873iter [01:18, 12.09iter/s]
Best score: 0.1825: : 873iter [01:19, 12.09iter/s]
Best score: 0.1825: : 874iter [01:19, 12.09iter/s]
Best score: 0.1825: : 875iter [01:19, 12.15iter/s]
Best score: 0.1825: : 875iter [01:19, 12.15iter/s]
Best score: 0.1825: : 876iter [01:19, 12.15iter/s]
Best score: 0.1825: : 877iter [01:19, 12.14iter/s]
Best score: 0.1825: : 877iter [01:19, 12.14iter/s]
Best score: 0.1825: : 878iter [01:19, 12.14iter/s]
Best score: 0.1825: : 879iter [01:19, 12.18iter/s]
Best score: 0.1825: : 879iter [01:19, 12.18iter/s]
Best score: 0.1825: : 880iter [01:19, 12.18iter/s]
Best score: 0.1825: : 881iter [01:19, 12.04iter/s]
Best score: 0.1825: : 881iter [01:19, 12.04iter/s]
Best score: 0.1825: : 882iter [01:19, 12.04iter/s]
Best score: 0.1825: : 883iter [01:19, 12.15iter/s]
Best score: 0.1825: : 883iter [01:19, 12.15iter/s]
Best score: 0.1825: : 884iter [01:19, 12.15iter/s]
Best score: 0.1825: : 885iter [01:19, 12.17iter/s]
Best score: 0.1825: : 885iter [01:20, 12.17iter/s]
Best score: 0.1825: : 886iter [01:20, 12.17iter/s]
Best score: 0.1825: : 887iter [01:20, 12.25iter/s]
Best score: 0.1825: : 887iter [01:20, 12.25iter/s]
Best score: 0.1825: : 888iter [01:20, 12.25iter/s]
Best score: 0.1825: : 889iter [01:20, 12.26iter/s]
Best score: 0.1825: : 889iter [01:20, 12.26iter/s]
Best score: 0.1825: : 890iter [01:20, 12.26iter/s]
Best score: 0.1825: : 891iter [01:20, 12.11iter/s]
Best score: 0.1825: : 891iter [01:20, 12.11iter/s]
Best score: 0.1825: : 892iter [01:20, 12.11iter/s]
Best score: 0.1825: : 893iter [01:20, 12.21iter/s]
Best score: 0.1825: : 893iter [01:20, 12.21iter/s]
Best score: 0.1825: : 894iter [01:20, 12.21iter/s]
Best score: 0.1825: : 895iter [01:20, 12.18iter/s]
Best score: 0.1825: : 895iter [01:20, 12.18iter/s]
Best score: 0.1825: : 896iter [01:20, 12.18iter/s]
Best score: 0.1825: : 897iter [01:20, 12.19iter/s]
Best score: 0.1825: : 897iter [01:21, 12.19iter/s]
Best score: 0.1825: : 898iter [01:21, 12.19iter/s]
Best score: 0.1825: : 899iter [01:21, 12.27iter/s]
[ITER 900] Best: 0.1825
[PARAMS] Current best parameters:
  fx: 598.2227
  fy: 598.4101
  px: 1005.8751
  py: 745.3990
  k1: -0.07837286
  k2: 0.01001798
  k3: 0.00527231
  k4: -0.00220125
  p1: -0.01475267
  p2: 0.00090105
  p3: 0.02903336
  p4: -0.01024915
  s1: -0.0285
  s2: 0.0103
  s3: -0.0182
  s4: 0.0113
  tilt_x: 0.0285
  tilt_y: 0.0139
  scale: 3.0072
  rotation: -0.8793

Best score: 0.1825: : 899iter [01:21, 12.27iter/s]
Best score: 0.1825: : 900iter [01:21, 12.27iter/s]
Best score: 0.1825: : 901iter [01:21,  7.68iter/s]
Best score: 0.1825: : 901iter [01:21,  7.68iter/s]
Best score: 0.1825: : 902iter [01:21,  7.68iter/s]
Best score: 0.1825: : 903iter [01:21,  8.62iter/s]
Best score: 0.1825: : 903iter [01:21,  8.62iter/s]
Best score: 0.1825: : 904iter [01:21,  8.62iter/s]
Best score: 0.1825: : 905iter [01:21,  9.47iter/s]
Best score: 0.1825: : 905iter [01:22,  9.47iter/s]
Best score: 0.1825: : 906iter [01:22,  9.47iter/s]
Best score: 0.1825: : 907iter [01:22, 10.17iter/s]
Best score: 0.1825: : 907iter [01:22, 10.17iter/s]
Best score: 0.1825: : 908iter [01:22, 10.17iter/s]
Best score: 0.1825: : 909iter [01:22, 10.68iter/s]
Best score: 0.1823: : 909iter [01:22, 10.68iter/s]
Best score: 0.1823: : 910iter [01:22, 10.68iter/s]
Best score: 0.1823: : 911iter [01:22, 10.92iter/s]
Best score: 0.1823: : 911iter [01:22, 10.92iter/s]
Best score: 0.1823: : 912iter [01:22, 10.92iter/s]
Best score: 0.1823: : 913iter [01:22, 11.33iter/s]
Best score: 0.1823: : 913iter [01:22, 11.33iter/s]
Best score: 0.1823: : 914iter [01:22, 11.33iter/s]
Best score: 0.1823: : 915iter [01:22, 11.57iter/s]
Best score: 0.1823: : 915iter [01:22, 11.57iter/s]
Best score: 0.1823: : 916iter [01:22, 11.57iter/s]
Best score: 0.1823: : 917iter [01:22, 11.80iter/s]
Best score: 0.1823: : 917iter [01:23, 11.80iter/s]
Best score: 0.1823: : 918iter [01:23, 11.80iter/s]
Best score: 0.1823: : 919iter [01:23, 11.99iter/s]
Best score: 0.1823: : 919iter [01:23, 11.99iter/s]
Best score: 0.1823: : 920iter [01:23, 11.99iter/s]
Best score: 0.1823: : 921iter [01:23, 11.88iter/s]
Best score: 0.1823: : 921iter [01:23, 11.88iter/s]
Best score: 0.1823: : 922iter [01:23, 11.88iter/s]
Best score: 0.1823: : 923iter [01:23, 12.00iter/s]
Best score: 0.1823: : 923iter [01:23, 12.00iter/s]
Best score: 0.1823: : 924iter [01:23, 12.00iter/s]
Best score: 0.1823: : 925iter [01:23, 12.10iter/s]
Best score: 0.1823: : 925iter [01:23, 12.10iter/s]
Best score: 0.1823: : 926iter [01:23, 12.10iter/s]
Best score: 0.1823: : 927iter [01:23, 12.20iter/s]
Best score: 0.1823: : 927iter [01:23, 12.20iter/s]
Best score: 0.1823: : 928iter [01:23, 12.20iter/s]
Best score: 0.1823: : 929iter [01:23, 12.26iter/s]
Best score: 0.1823: : 929iter [01:23, 12.26iter/s]
Best score: 0.1823: : 930iter [01:24, 12.26iter/s]
Best score: 0.1823: : 931iter [01:24, 12.10iter/s]
Best score: 0.1823: : 931iter [01:24, 12.10iter/s]
Best score: 0.1823: : 932iter [01:24, 12.10iter/s]
Best score: 0.1823: : 933iter [01:24, 12.15iter/s]
Best score: 0.1823: : 933iter [01:24, 12.15iter/s]
Best score: 0.1823: : 934iter [01:24, 12.15iter/s]
Best score: 0.1823: : 935iter [01:24, 12.05iter/s]
Best score: 0.1823: : 935iter [01:24, 12.05iter/s]
Best score: 0.1823: : 936iter [01:24, 12.05iter/s]
Best score: 0.1823: : 937iter [01:24, 12.11iter/s]
Best score: 0.1823: : 937iter [01:24, 12.11iter/s]
Best score: 0.1823: : 938iter [01:24, 12.11iter/s]
Best score: 0.1823: : 939iter [01:24, 12.21iter/s]
Best score: 0.1823: : 939iter [01:24, 12.21iter/s]
Best score: 0.1823: : 940iter [01:24, 12.21iter/s]
Best score: 0.1823: : 941iter [01:24, 11.97iter/s]
Best score: 0.1823: : 941iter [01:24, 11.97iter/s]
Best score: 0.1823: : 942iter [01:25, 11.97iter/s]
Best score: 0.1823: : 943iter [01:25, 12.01iter/s]
Best score: 0.1823: : 943iter [01:25, 12.01iter/s]
Best score: 0.1823: : 944iter [01:25, 12.01iter/s]
Best score: 0.1823: : 945iter [01:25, 12.10iter/s]
Best score: 0.1823: : 945iter [01:25, 12.10iter/s]
Best score: 0.1823: : 946iter [01:25, 12.10iter/s]
Best score: 0.1823: : 947iter [01:25, 12.12iter/s]
Best score: 0.1823: : 947iter [01:25, 12.12iter/s]
Best score: 0.1823: : 948iter [01:25, 12.12iter/s]
Best score: 0.1823: : 949iter [01:25, 12.17iter/s]
[ITER 950] Best: 0.1822
[PARAMS] Current best parameters:
  fx: 598.1599
  fy: 598.3256
  px: 1005.7238
  py: 745.2707
  k1: -0.07838838
  k2: 0.01051565
  k3: 0.00474643
  k4: -0.00204363
  p1: -0.01475674
  p2: 0.00112506
  p3: 0.02883256
  p4: -0.00998196
  s1: -0.0288
  s2: 0.0101
  s3: -0.0180
  s4: 0.0109
  tilt_x: 0.0277
  tilt_y: 0.0151
  scale: 3.0068
  rotation: -0.8764

Best score: 0.1822: : 949iter [01:25, 12.17iter/s]
Best score: 0.1822: : 950iter [01:26, 12.17iter/s]
Best score: 0.1822: : 951iter [01:26,  7.77iter/s]
Best score: 0.1822: : 951iter [01:26,  7.77iter/s]
Best score: 0.1822: : 952iter [01:26,  7.77iter/s]
Best score: 0.1822: : 953iter [01:26,  8.76iter/s]
Best score: 0.1822: : 953iter [01:26,  8.76iter/s]
Best score: 0.1822: : 954iter [01:26,  8.76iter/s]
Best score: 0.1822: : 955iter [01:26,  9.61iter/s]
Best score: 0.1822: : 955iter [01:26,  9.61iter/s]
Best score: 0.1822: : 956iter [01:26,  9.61iter/s]
Best score: 0.1822: : 957iter [01:26, 10.30iter/s]
Best score: 0.1822: : 957iter [01:26, 10.30iter/s]
Best score: 0.1822: : 958iter [01:26, 10.30iter/s]
Best score: 0.1822: : 959iter [01:26, 10.82iter/s]
Best score: 0.1822: : 959iter [01:26, 10.82iter/s]
Best score: 0.1822: : 960iter [01:26, 10.82iter/s]
Best score: 0.1822: : 961iter [01:26, 11.00iter/s]
Best score: 0.1822: : 961iter [01:26, 11.00iter/s]
Best score: 0.1822: : 962iter [01:27, 11.00iter/s]
Best score: 0.1822: : 963iter [01:27, 11.32iter/s]
Best score: 0.1822: : 963iter [01:27, 11.32iter/s]
Best score: 0.1822: : 964iter [01:27, 11.32iter/s]
Best score: 0.1822: : 965iter [01:27, 11.56iter/s]
Best score: 0.1822: : 965iter [01:27, 11.56iter/s]
Best score: 0.1822: : 966iter [01:27, 11.56iter/s]
Best score: 0.1822: : 967iter [01:27, 11.76iter/s]
Best score: 0.1822: : 967iter [01:27, 11.76iter/s]
Best score: 0.1822: : 968iter [01:27, 11.76iter/s]
Best score: 0.1822: : 969iter [01:27, 11.90iter/s]
Best score: 0.1822: : 969iter [01:27, 11.90iter/s]
Best score: 0.1822: : 970iter [01:27, 11.90iter/s]
Best score: 0.1822: : 971iter [01:27, 11.85iter/s]
Best score: 0.1822: : 971iter [01:27, 11.85iter/s]
Best score: 0.1822: : 972iter [01:27, 11.85iter/s]
Best score: 0.1822: : 973iter [01:27, 11.96iter/s]
Best score: 0.1822: : 973iter [01:27, 11.96iter/s]
Best score: 0.1822: : 974iter [01:28, 11.96iter/s]
Best score: 0.1822: : 975iter [01:28, 12.11iter/s]
Best score: 0.1822: : 975iter [01:28, 12.11iter/s]
Best score: 0.1822: : 976iter [01:28, 12.11iter/s]
Best score: 0.1822: : 977iter [01:28, 12.20iter/s]
Best score: 0.1822: : 977iter [01:28, 12.20iter/s]
Best score: 0.1822: : 978iter [01:28, 12.20iter/s]
Best score: 0.1822: : 979iter [01:28, 12.27iter/s]
Best score: 0.1819: : 979iter [01:28, 12.27iter/s]
Best score: 0.1819: : 980iter [01:28, 12.27iter/s]
Best score: 0.1819: : 981iter [01:28, 12.12iter/s]
Best score: 0.1819: : 981iter [01:28, 12.12iter/s]
Best score: 0.1819: : 982iter [01:28, 12.12iter/s]
Best score: 0.1819: : 983iter [01:28, 12.17iter/s]
Best score: 0.1819: : 983iter [01:28, 12.17iter/s]
Best score: 0.1819: : 984iter [01:28, 12.17iter/s]
Best score: 0.1819: : 985iter [01:28, 12.20iter/s]
Best score: 0.1819: : 985iter [01:28, 12.20iter/s]
Best score: 0.1819: : 986iter [01:28, 12.20iter/s]
Best score: 0.1819: : 987iter [01:28, 12.27iter/s]
Best score: 0.1819: : 987iter [01:29, 12.27iter/s]
Best score: 0.1819: : 988iter [01:29, 12.27iter/s]
Best score: 0.1819: : 989iter [01:29, 12.23iter/s]
Best score: 0.1819: : 989iter [01:29, 12.23iter/s]
Best score: 0.1819: : 990iter [01:29, 12.23iter/s]
Best score: 0.1819: : 991iter [01:29, 12.09iter/s]
Best score: 0.1819: : 991iter [01:29, 12.09iter/s]
Best score: 0.1819: : 992iter [01:29, 12.09iter/s]
Best score: 0.1819: : 993iter [01:29, 12.13iter/s]
Best score: 0.1819: : 993iter [01:29, 12.13iter/s]
Best score: 0.1819: : 994iter [01:29, 12.13iter/s]
Best score: 0.1819: : 995iter [01:29, 12.22iter/s]
Best score: 0.1819: : 995iter [01:29, 12.22iter/s]
Best score: 0.1819: : 996iter [01:29, 12.22iter/s]
Best score: 0.1819: : 997iter [01:29, 12.23iter/s]
Best score: 0.1819: : 997iter [01:29, 12.23iter/s]
Best score: 0.1819: : 998iter [01:29, 12.23iter/s]
Best score: 0.1819: : 999iter [01:29, 12.27iter/s]
[ITER 1000] Best: 0.1819
[PARAMS] Current best parameters:
  fx: 600.0881
  fy: 600.2769
  px: 1005.8133
  py: 745.0508
  k1: -0.08148140
  k2: 0.01271935
  k3: 0.00356619
  k4: -0.00177783
  p1: -0.01533674
  p2: 0.00175034
  p3: 0.03106984
  p4: -0.01066881
  s1: -0.0315
  s2: 0.0107
  s3: -0.0197
  s4: 0.0114
  tilt_x: 0.0277
  tilt_y: 0.0159
  scale: 3.0068
  rotation: -0.8788

Best score: 0.1819: : 999iter [01:30, 12.27iter/s]
Best score: 0.1819: : 1000iter [01:30, 12.27iter/s]
Best score: 0.1819: : 1001iter [01:30,  7.85iter/s]
Best score: 0.1819: : 1001iter [01:30,  7.85iter/s]
Best score: 0.1819: : 1002iter [01:30,  7.85iter/s]
Best score: 0.1819: : 1003iter [01:30,  8.78iter/s]
Best score: 0.1819: : 1003iter [01:30,  8.78iter/s]
Best score: 0.1819: : 1004iter [01:30,  8.78iter/s]
Best score: 0.1819: : 1005iter [01:30,  9.62iter/s]
Best score: 0.1819: : 1005iter [01:30,  9.62iter/s]
Best score: 0.1819: : 1006iter [01:30,  9.62iter/s]
Best score: 0.1819: : 1007iter [01:30, 10.28iter/s]
Best score: 0.1819: : 1007iter [01:31, 10.28iter/s]
Best score: 0.1819: : 1008iter [01:31, 10.28iter/s]
Best score: 0.1819: : 1009iter [01:31, 10.77iter/s]
Best score: 0.1819: : 1009iter [01:31, 10.77iter/s]
Best score: 0.1819: : 1010iter [01:31, 10.77iter/s]
Best score: 0.1819: : 1011iter [01:31, 10.98iter/s]
Best score: 0.1819: : 1011iter [01:31, 10.98iter/s]
Best score: 0.1819: : 1012iter [01:31, 10.98iter/s]
Best score: 0.1819: : 1013iter [01:31, 11.38iter/s]
Best score: 0.1819: : 1013iter [01:31, 11.38iter/s]
Best score: 0.1819: : 1014iter [01:31, 11.38iter/s]
Best score: 0.1819: : 1015iter [01:31, 11.68iter/s]
Best score: 0.1819: : 1015iter [01:31, 11.68iter/s]
Best score: 0.1819: : 1016iter [01:31, 11.68iter/s]
Best score: 0.1819: : 1017iter [01:31, 11.86iter/s]
Best score: 0.1819: : 1017iter [01:31, 11.86iter/s]
Best score: 0.1819: : 1018iter [01:31, 11.86iter/s]
Best score: 0.1819: : 1019iter [01:31, 12.01iter/s]
Best score: 0.1818: : 1019iter [01:32, 12.01iter/s]
Best score: 0.1818: : 1020iter [01:32, 12.01iter/s]
Best score: 0.1818: : 1021iter [01:32, 11.93iter/s]
Best score: 0.1818: : 1021iter [01:32, 11.93iter/s]
Best score: 0.1818: : 1022iter [01:32, 11.93iter/s]
Best score: 0.1818: : 1023iter [01:32, 12.07iter/s]
Best score: 0.1818: : 1023iter [01:32, 12.07iter/s]
Best score: 0.1818: : 1024iter [01:32, 12.07iter/s]
Best score: 0.1818: : 1025iter [01:32, 12.13iter/s]
Best score: 0.1818: : 1025iter [01:32, 12.13iter/s]
Best score: 0.1818: : 1026iter [01:32, 12.13iter/s]
Best score: 0.1818: : 1027iter [01:32, 12.18iter/s]
Best score: 0.1818: : 1027iter [01:32, 12.18iter/s]
Best score: 0.1818: : 1028iter [01:32, 12.18iter/s]
Best score: 0.1818: : 1029iter [01:32, 12.21iter/s]
Best score: 0.1817: : 1029iter [01:32, 12.21iter/s]
Best score: 0.1817: : 1030iter [01:32, 12.21iter/s]
Best score: 0.1817: : 1031iter [01:32, 12.06iter/s]
Best score: 0.1817: : 1031iter [01:32, 12.06iter/s]
Best score: 0.1817: : 1032iter [01:33, 12.06iter/s]
Best score: 0.1817: : 1033iter [01:33, 12.13iter/s]
Best score: 0.1817: : 1033iter [01:33, 12.13iter/s]
Best score: 0.1817: : 1034iter [01:33, 12.13iter/s]
Best score: 0.1817: : 1035iter [01:33, 12.23iter/s]
Best score: 0.1817: : 1035iter [01:33, 12.23iter/s]
Best score: 0.1817: : 1036iter [01:33, 12.23iter/s]
Best score: 0.1817: : 1037iter [01:33, 12.29iter/s]
Best score: 0.1817: : 1037iter [01:33, 12.29iter/s]
Best score: 0.1817: : 1038iter [01:33, 12.29iter/s]
Best score: 0.1817: : 1039iter [01:33, 12.34iter/s]
Best score: 0.1817: : 1039iter [01:33, 12.34iter/s]
Best score: 0.1817: : 1040iter [01:33, 12.34iter/s]
Best score: 0.1817: : 1041iter [01:33, 12.15iter/s]
Best score: 0.1817: : 1041iter [01:33, 12.15iter/s]
Best score: 0.1817: : 1042iter [01:33, 12.15iter/s]
Best score: 0.1817: : 1043iter [01:33, 12.25iter/s]
Best score: 0.1817: : 1043iter [01:33, 12.25iter/s]
Best score: 0.1817: : 1044iter [01:34, 12.25iter/s]
Best score: 0.1817: : 1045iter [01:34, 12.31iter/s]
Best score: 0.1817: : 1045iter [01:34, 12.31iter/s]
Best score: 0.1817: : 1046iter [01:34, 12.31iter/s]
Best score: 0.1817: : 1047iter [01:34, 12.36iter/s]
Best score: 0.1817: : 1047iter [01:34, 12.36iter/s]
Best score: 0.1817: : 1048iter [01:34, 12.36iter/s]
Best score: 0.1817: : 1049iter [01:34, 12.38iter/s]
[ITER 1050] Best: 0.1816
[PARAMS] Current best parameters:
  fx: 602.8469
  fy: 603.0754
  px: 1006.0495
  py: 745.2281
  k1: -0.08842357
  k2: 0.02020369
  k3: -0.00077948
  k4: -0.00082744
  p1: -0.01486647
  p2: 0.00255605
  p3: 0.03406748
  p4: -0.01301034
  s1: -0.0346
  s2: 0.0126
  s3: -0.0231
  s4: 0.0138
  tilt_x: 0.0278
  tilt_y: 0.0163
  scale: 3.0092
  rotation: -0.8757

Best score: 0.1816: : 1049iter [01:34, 12.38iter/s]
Best score: 0.1816: : 1050iter [01:34, 12.38iter/s]
Best score: 0.1816: : 1051iter [01:34,  7.88iter/s]
Best score: 0.1816: : 1051iter [01:34,  7.88iter/s]
Best score: 0.1816: : 1052iter [01:34,  7.88iter/s]
Best score: 0.1816: : 1053iter [01:34,  8.86iter/s]
Best score: 0.1816: : 1053iter [01:35,  8.86iter/s]
Best score: 0.1816: : 1054iter [01:35,  8.86iter/s]
Best score: 0.1816: : 1055iter [01:35,  9.69iter/s]
Best score: 0.1816: : 1055iter [01:35,  9.69iter/s]
Best score: 0.1816: : 1056iter [01:35,  9.69iter/s]
Best score: 0.1816: : 1057iter [01:35, 10.38iter/s]
Best score: 0.1816: : 1057iter [01:35, 10.38iter/s]
Best score: 0.1816: : 1058iter [01:35, 10.38iter/s]
Best score: 0.1816: : 1059iter [01:35, 10.89iter/s]
Best score: 0.1816: : 1059iter [01:35, 10.89iter/s]
Best score: 0.1816: : 1060iter [01:35, 10.89iter/s]
Best score: 0.1816: : 1061iter [01:35, 11.13iter/s]
Best score: 0.1816: : 1061iter [01:35, 11.13iter/s]
Best score: 0.1816: : 1062iter [01:35, 11.13iter/s]
Best score: 0.1816: : 1063iter [01:35, 11.48iter/s]
Best score: 0.1816: : 1063iter [01:35, 11.48iter/s]
Best score: 0.1816: : 1064iter [01:35, 11.48iter/s]
Best score: 0.1816: : 1065iter [01:35, 11.71iter/s]
Best score: 0.1816: : 1065iter [01:36, 11.71iter/s]
Best score: 0.1816: : 1066iter [01:36, 11.71iter/s]
Best score: 0.1816: : 1067iter [01:36, 11.93iter/s]
Best score: 0.1816: : 1067iter [01:36, 11.93iter/s]
Best score: 0.1816: : 1068iter [01:36, 11.93iter/s]
Best score: 0.1816: : 1069iter [01:36, 12.09iter/s]
Best score: 0.1816: : 1069iter [01:36, 12.09iter/s]
Best score: 0.1816: : 1070iter [01:36, 12.09iter/s]
Best score: 0.1816: : 1071iter [01:36, 12.00iter/s]
Best score: 0.1816: : 1071iter [01:36, 12.00iter/s]
Best score: 0.1816: : 1072iter [01:36, 12.00iter/s]
Best score: 0.1816: : 1073iter [01:36, 12.14iter/s]
Best score: 0.1816: : 1073iter [01:36, 12.14iter/s]
Best score: 0.1816: : 1074iter [01:36, 12.14iter/s]
Best score: 0.1816: : 1075iter [01:36, 12.22iter/s]
Best score: 0.1816: : 1075iter [01:36, 12.22iter/s]
Best score: 0.1816: : 1076iter [01:36, 12.22iter/s]
Best score: 0.1816: : 1077iter [01:36, 12.26iter/s]
Best score: 0.1816: : 1077iter [01:37, 12.26iter/s]
Best score: 0.1816: : 1078iter [01:37, 12.26iter/s]
Best score: 0.1816: : 1079iter [01:37, 12.26iter/s]
Best score: 0.1816: : 1079iter [01:37, 12.26iter/s]
Best score: 0.1816: : 1080iter [01:37, 12.26iter/s]
Best score: 0.1816: : 1081iter [01:37, 12.11iter/s]
Best score: 0.1816: : 1081iter [01:37, 12.11iter/s]
Best score: 0.1816: : 1082iter [01:37, 12.11iter/s]
Best score: 0.1816: : 1083iter [01:37, 12.21iter/s]
Best score: 0.1816: : 1083iter [01:37, 12.21iter/s]
Best score: 0.1816: : 1084iter [01:37, 12.21iter/s]
Best score: 0.1816: : 1085iter [01:37, 12.29iter/s]
Best score: 0.1816: : 1085iter [01:37, 12.29iter/s]
Best score: 0.1816: : 1086iter [01:37, 12.29iter/s]
Best score: 0.1816: : 1087iter [01:37, 12.34iter/s]
Best score: 0.1816: : 1087iter [01:37, 12.34iter/s]
Best score: 0.1816: : 1088iter [01:37, 12.34iter/s]
Best score: 0.1816: : 1089iter [01:37, 12.33iter/s]
Best score: 0.1816: : 1089iter [01:38, 12.33iter/s]
Best score: 0.1816: : 1090iter [01:38, 12.33iter/s]
Best score: 0.1816: : 1091iter [01:38, 12.13iter/s]
Best score: 0.1816: : 1091iter [01:38, 12.13iter/s]
Best score: 0.1816: : 1092iter [01:38, 12.13iter/s]
Best score: 0.1816: : 1093iter [01:38, 12.21iter/s]
Best score: 0.1816: : 1093iter [01:38, 12.21iter/s]
Best score: 0.1816: : 1094iter [01:38, 12.21iter/s]
Best score: 0.1816: : 1095iter [01:38, 12.27iter/s]
Best score: 0.1816: : 1095iter [01:38, 12.27iter/s]
Best score: 0.1816: : 1096iter [01:38, 12.27iter/s]
Best score: 0.1816: : 1097iter [01:38, 12.26iter/s]
Best score: 0.1816: : 1097iter [01:38, 12.26iter/s]
Best score: 0.1816: : 1098iter [01:38, 12.26iter/s]
Best score: 0.1816: : 1099iter [01:38, 12.29iter/s]
[ITER 1100] Best: 0.1815
[PARAMS] Current best parameters:
  fx: 602.4472
  fy: 602.6722
  px: 1005.9767
  py: 745.1626
  k1: -0.08723092
  k2: 0.01887856
  k3: -0.00007547
  k4: -0.00096135
  p1: -0.01473722
  p2: 0.00251250
  p3: 0.03301623
  p4: -0.01242342
  s1: -0.0336
  s2: 0.0120
  s3: -0.0222
  s4: 0.0131
  tilt_x: 0.0272
  tilt_y: 0.0166
  scale: 3.0087
  rotation: -0.8768

Best score: 0.1815: : 1099iter [01:38, 12.29iter/s]
Best score: 0.1815: : 1100iter [01:39, 11.10iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.181517 -> 0.181463

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 98,247 → 91,445 within 3500mm ring
  Ring polish did not improve score: 0.181463
  Success: True
  Tangential distortion: p1=-0.014738, p2=0.002502, p3=0.033023, p4=-0.012412
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1815
[✅] Parameters copied to: /working/MDC019_W001(6)_2026-09-04/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 602.4471980718699
    fy: 602.6721948476285
    px: 1005.9766514193042
    py: 745.1625967328127
    k1: -0.08724476154901595
    k2: 0.01887359538825887
    k3: -7.259519693821472e-05
    k4: -0.0009549818089776557
    p1: -0.014738126137393627
    p2: 0.0025021843594598605
    p3: 0.03302275259298252
    p4: -0.012412331125520891
    scale: 3.0086545830663267
    rotation: -0.8768439070049343
    mmpp: 3.447110589754996

[🔄] Converting 2631 frames to PTD, creating debug images for 400 calibration frames...

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

   🔄 2000L:   0%|          | 0/598 [00:00<?, ?frame/s]

   🔄 2000L:   3%|▎         | 18/598 [00:00<00:03, 179.37frame/s]

   🔄 2000L:   6%|▌         | 36/598 [00:00<00:03, 174.86frame/s]

   🔄 2000L:   9%|▉         | 54/598 [00:00<00:03, 173.44frame/s]

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   🔄 2000L:  98%|█████████▊| 587/598 [00:03<00:00, 178.11frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:06<00:18,  6.18s/rig]

   🔄 2000R:   0%|          | 0/598 [00:00<?, ?frame/s]

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📁 Rigs:  50%|█████     | 2/4 [00:12<00:12,  6.10s/rig]

   🔄 1000:   0%|          | 0/560 [00:00<?, ?frame/s]

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📁 Rigs:  75%|███████▌  | 3/4 [00:17<00:05,  5.87s/rig]

   🔄 1500:   0%|          | 0/875 [00:00<?, ?frame/s]

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   🔄 1500:  84%|████████▍ | 734/875 [00:04<00:00, 178.11frame/s]

   🔄 1500:  86%|████████▌ | 752/875 [00:04<00:00, 178.03frame/s]

   🔄 1500:  88%|████████▊ | 770/875 [00:04<00:00, 178.04frame/s]

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   🔄 1500:  96%|█████████▌| 842/875 [00:04<00:00, 177.05frame/s]

   🔄 1500:  98%|█████████▊| 860/875 [00:04<00:00, 176.79frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:26<00:00,  6.97s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:26<00:00,  6.62s/rig]
[✅] Saved PTDs: /working/MDC019_W001(6)_2026-09-04/calibration/debug/4_undistorted/output/ptd

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

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

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   🔄 2000L:  93%|█████████▎| 93/100 [00:00<00:00, 177.44frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:01<00:03,  1.09s/rig]

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   🔄 2000R:  92%|█████████▏| 92/100 [00:00<00:00, 172.76frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:02<00:02,  1.00s/rig]

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   🔄 1000:  91%|█████████ | 91/100 [00:00<00:00, 178.45frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:03<00:01,  1.05s/rig]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 174.18frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 174.87frame/s]

   🔄 1500:  55%|█████▌    | 55/100 [00:00<00:00, 178.01frame/s]

   🔄 1500:  73%|███████▎  | 73/100 [00:00<00:00, 176.74frame/s]

   🔄 1500:  91%|█████████ | 91/100 [00:00<00:00, 175.54frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.01s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.02s/rig]
[✅] Saved PTDs: /working/MDC019_W001(6)_2026-09-04/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]
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📤 Writing LUT:  55%|█████▌    | 1696128/3080448 [00:02<00:01, 850192.18px/s]
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📤 Writing LUT:  61%|██████    | 1866485/3080448 [00:02<00:01, 850842.84px/s]
📤 Writing LUT:  63%|██████▎   | 1951571/3080448 [00:02<00:01, 849882.62px/s]
📤 Writing LUT:  66%|██████▌   | 2036561/3080448 [00:02<00:01, 847000.12px/s]
📤 Writing LUT:  69%|██████▉   | 2121379/3080448 [00:02<00:01, 847350.10px/s]
📤 Writing LUT:  72%|███████▏  | 2206406/3080448 [00:02<00:01, 848223.61px/s]
📤 Writing LUT:  74%|███████▍  | 2292284/3080448 [00:02<00:00, 851381.82px/s]
📤 Writing LUT:  77%|███████▋  | 2378377/3080448 [00:02<00:00, 854240.71px/s]
📤 Writing LUT:  80%|███████▉  | 2463803/3080448 [00:02<00:00, 853185.18px/s]
📤 Writing LUT:  83%|████████▎ | 2550269/3080448 [00:03<00:00, 856619.83px/s]
📤 Writing LUT:  86%|████████▌ | 2636914/3080448 [00:03<00:00, 859564.29px/s]
📤 Writing LUT:  88%|████████▊ | 2723611/3080448 [00:03<00:00, 861783.43px/s]
📤 Writing LUT:  91%|█████████ | 2809791/3080448 [00:03<00:00, 859407.89px/s]
📤 Writing LUT:  94%|█████████▍| 2896388/3080448 [00:03<00:00, 861369.81px/s]
📤 Writing LUT:  97%|█████████▋| 2984178/3080448 [00:03<00:00, 866319.31px/s]
📤 Writing LUT: 100%|█████████▉| 3072193/3080448 [00:03<00:00, 870462.24px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 850394.06px/s]
[✅] LUT written to: /working/MDC019_W001(6)_2026-09-04/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDC019_W001(6)_2026-09-04' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDC019_W001(6)_2026-09-04/calibration/MDC019_W001(6)_2026-09-04_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%|          | 0/598 [00:00<?, ?frame/s]

   🔥 2000L:   1%|▏         | 8/598 [00:00<00:07, 77.95frame/s]

   🔥 2000L:   3%|▎         | 17/598 [00:00<00:07, 79.42frame/s]

   🔥 2000L:   4%|▍         | 25/598 [00:00<00:07, 79.17frame/s]

   🔥 2000L:   6%|▌         | 33/598 [00:00<00:07, 78.58frame/s]

   🔥 2000L:   7%|▋         | 41/598 [00:00<00:07, 78.50frame/s]

   🔥 2000L:   8%|▊         | 49/598 [00:00<00:06, 78.70frame/s]

   🔥 2000L:  10%|▉         | 58/598 [00:00<00:06, 79.35frame/s]

   🔥 2000L:  11%|█         | 66/598 [00:00<00:06, 79.43frame/s]

   🔥 2000L:  13%|█▎        | 75/598 [00:00<00:06, 79.59frame/s]

   🔥 2000L:  14%|█▍        | 84/598 [00:01<00:06, 79.86frame/s]

   🔥 2000L:  16%|█▌        | 93/598 [00:01<00:06, 80.24frame/s]

   🔥 2000L:  17%|█▋        | 102/598 [00:01<00:06, 80.97frame/s]

   🔥 2000L:  19%|█▊        | 111/598 [00:01<00:05, 81.76frame/s]

   🔥 2000L:  20%|██        | 120/598 [00:01<00:05, 82.02frame/s]

   🔥 2000L:  22%|██▏       | 129/598 [00:01<00:05, 82.50frame/s]

   🔥 2000L:  23%|██▎       | 138/598 [00:01<00:05, 82.03frame/s]

   🔥 2000L:  25%|██▍       | 148/598 [00:01<00:05, 85.98frame/s]

   🔥 2000L:  26%|██▋       | 158/598 [00:01<00:04, 88.40frame/s]

   🔥 2000L:  28%|██▊       | 168/598 [00:02<00:04, 90.72frame/s]

   🔥 2000L:  30%|██▉       | 178/598 [00:02<00:04, 92.93frame/s]

   🔥 2000L:  31%|███▏      | 188/598 [00:02<00:04, 93.97frame/s]

   🔥 2000L:  33%|███▎      | 199/598 [00:02<00:04, 96.42frame/s]

   🔥 2000L:  35%|███▌      | 210/598 [00:02<00:03, 98.19frame/s]

   🔥 2000L:  37%|███▋      | 220/598 [00:02<00:03, 97.11frame/s]

   🔥 2000L:  38%|███▊      | 230/598 [00:02<00:03, 97.37frame/s]

   🔥 2000L:  40%|████      | 240/598 [00:02<00:03, 96.08frame/s]

   🔥 2000L:  42%|████▏     | 250/598 [00:02<00:03, 95.12frame/s]

   🔥 2000L:  43%|████▎     | 260/598 [00:02<00:03, 94.87frame/s]

   🔥 2000L:  45%|████▌     | 270/598 [00:03<00:03, 94.13frame/s]

   🔥 2000L:  47%|████▋     | 280/598 [00:03<00:03, 93.68frame/s]

   🔥 2000L:  48%|████▊     | 290/598 [00:03<00:03, 93.50frame/s]

   🔥 2000L:  50%|█████     | 300/598 [00:03<00:03, 93.09frame/s]

   🔥 2000L:  52%|█████▏    | 310/598 [00:03<00:03, 93.01frame/s]

   🔥 2000L:  54%|█████▎    | 320/598 [00:03<00:02, 93.51frame/s]

   🔥 2000L:  55%|█████▌    | 330/598 [00:03<00:02, 93.81frame/s]

   🔥 2000L:  57%|█████▋    | 340/598 [00:03<00:02, 94.32frame/s]

   🔥 2000L:  59%|█████▊    | 350/598 [00:03<00:02, 94.68frame/s]

   🔥 2000L:  60%|██████    | 360/598 [00:04<00:02, 96.03frame/s]

   🔥 2000L:  62%|██████▏   | 371/598 [00:04<00:02, 97.50frame/s]

   🔥 2000L:  64%|██████▎   | 381/598 [00:04<00:02, 97.93frame/s]

   🔥 2000L:  66%|██████▌   | 392/598 [00:04<00:02, 101.22frame/s]

   🔥 2000L:  67%|██████▋   | 403/598 [00:04<00:01, 103.54frame/s]

   🔥 2000L:  69%|██████▉   | 415/598 [00:04<00:01, 106.84frame/s]

   🔥 2000L:  71%|███████   | 426/598 [00:04<00:01, 105.83frame/s]

   🔥 2000L:  73%|███████▎  | 437/598 [00:04<00:01, 102.50frame/s]

   🔥 2000L:  75%|███████▍  | 448/598 [00:04<00:01, 100.62frame/s]

   🔥 2000L:  77%|███████▋  | 459/598 [00:05<00:01, 98.88frame/s] 

   🔥 2000L:  78%|███████▊  | 469/598 [00:05<00:01, 96.42frame/s]

   🔥 2000L:  80%|████████  | 479/598 [00:05<00:01, 93.21frame/s]

   🔥 2000L:  82%|████████▏ | 489/598 [00:05<00:01, 90.99frame/s]

   🔥 2000L:  83%|████████▎ | 499/598 [00:05<00:01, 89.45frame/s]

   🔥 2000L:  85%|████████▍ | 508/598 [00:05<00:01, 88.15frame/s]

   🔥 2000L:  86%|████████▋ | 517/598 [00:05<00:00, 87.50frame/s]

   🔥 2000L:  88%|████████▊ | 526/598 [00:05<00:00, 85.96frame/s]

   🔥 2000L:  89%|████████▉ | 535/598 [00:05<00:00, 83.88frame/s]

   🔥 2000L:  91%|█████████ | 544/598 [00:06<00:00, 82.46frame/s]

   🔥 2000L:  92%|█████████▏| 553/598 [00:06<00:00, 81.12frame/s]

   🔥 2000L:  94%|█████████▍| 562/598 [00:06<00:00, 80.65frame/s]

   🔥 2000L:  95%|█████████▌| 571/598 [00:06<00:00, 80.05frame/s]

   🔥 2000L:  97%|█████████▋| 580/598 [00:06<00:00, 79.78frame/s]

   🔥 2000L:  98%|█████████▊| 588/598 [00:06<00:00, 79.21frame/s]

   🔥 2000L: 100%|█████████▉| 596/598 [00:06<00:00, 78.91frame/s]

                                                                 [✅] 2000L: /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:24,  8.33s/rig]

   🔥 2000R:   0%|          | 0/598 [00:00<?, ?frame/s]

   🔥 2000R:   2%|▏         | 9/598 [00:00<00:07, 80.10frame/s]

   🔥 2000R:   3%|▎         | 18/598 [00:00<00:07, 78.78frame/s]

   🔥 2000R:   4%|▍         | 26/598 [00:00<00:07, 78.72frame/s]

   🔥 2000R:   6%|▌         | 34/598 [00:00<00:07, 78.27frame/s]

   🔥 2000R:   7%|▋         | 42/598 [00:00<00:07, 78.27frame/s]

   🔥 2000R:   8%|▊         | 50/598 [00:00<00:06, 78.61frame/s]

   🔥 2000R:  10%|▉         | 58/598 [00:00<00:06, 78.68frame/s]

   🔥 2000R:  11%|█         | 66/598 [00:00<00:06, 78.92frame/s]

   🔥 2000R:  12%|█▏        | 74/598 [00:00<00:06, 78.60frame/s]

   🔥 2000R:  14%|█▍        | 83/598 [00:01<00:06, 79.14frame/s]

   🔥 2000R:  15%|█▌        | 92/598 [00:01<00:06, 80.03frame/s]

   🔥 2000R:  17%|█▋        | 101/598 [00:01<00:06, 81.32frame/s]

   🔥 2000R:  18%|█▊        | 110/598 [00:01<00:05, 82.56frame/s]

   🔥 2000R:  20%|█▉        | 119/598 [00:01<00:05, 83.37frame/s]

   🔥 2000R:  21%|██▏       | 128/598 [00:01<00:05, 83.75frame/s]

   🔥 2000R:  23%|██▎       | 137/598 [00:01<00:05, 84.88frame/s]

   🔥 2000R:  24%|██▍       | 146/598 [00:01<00:05, 86.27frame/s]

   🔥 2000R:  26%|██▌       | 156/598 [00:01<00:05, 87.64frame/s]

   🔥 2000R:  28%|██▊       | 166/598 [00:02<00:04, 89.05frame/s]

   🔥 2000R:  29%|██▉       | 176/598 [00:02<00:04, 90.66frame/s]

   🔥 2000R:  31%|███▏      | 187/598 [00:02<00:04, 95.26frame/s]

   🔥 2000R:  33%|███▎      | 197/598 [00:02<00:04, 95.97frame/s]

   🔥 2000R:  35%|███▍      | 207/598 [00:02<00:04, 96.15frame/s]

   🔥 2000R:  36%|███▋      | 217/598 [00:02<00:04, 94.71frame/s]

   🔥 2000R:  38%|███▊      | 227/598 [00:02<00:03, 95.30frame/s]

   🔥 2000R:  40%|███▉      | 237/598 [00:02<00:03, 95.95frame/s]

   🔥 2000R:  41%|████▏     | 247/598 [00:02<00:03, 96.88frame/s]

   🔥 2000R:  43%|████▎     | 257/598 [00:02<00:03, 96.96frame/s]

   🔥 2000R:  45%|████▍     | 267/598 [00:03<00:03, 96.92frame/s]

   🔥 2000R:  46%|████▋     | 277/598 [00:03<00:03, 96.73frame/s]

   🔥 2000R:  48%|████▊     | 287/598 [00:03<00:03, 96.53frame/s]

   🔥 2000R:  50%|████▉     | 297/598 [00:03<00:03, 95.44frame/s]

   🔥 2000R:  51%|█████▏    | 307/598 [00:03<00:03, 94.16frame/s]

   🔥 2000R:  53%|█████▎    | 317/598 [00:03<00:03, 93.12frame/s]

   🔥 2000R:  55%|█████▍    | 327/598 [00:03<00:02, 92.03frame/s]

   🔥 2000R:  56%|█████▋    | 337/598 [00:03<00:02, 90.59frame/s]

   🔥 2000R:  58%|█████▊    | 347/598 [00:03<00:02, 89.64frame/s]

   🔥 2000R:  60%|█████▉    | 356/598 [00:04<00:02, 89.06frame/s]

   🔥 2000R:  61%|██████    | 366/598 [00:04<00:02, 89.40frame/s]

   🔥 2000R:  63%|██████▎   | 376/598 [00:04<00:02, 89.57frame/s]

   🔥 2000R:  65%|██████▍   | 386/598 [00:04<00:02, 91.65frame/s]

   🔥 2000R:  66%|██████▌   | 396/598 [00:04<00:02, 94.00frame/s]

   🔥 2000R:  68%|██████▊   | 406/598 [00:04<00:02, 95.45frame/s]

   🔥 2000R:  70%|██████▉   | 417/598 [00:04<00:01, 97.44frame/s]

   🔥 2000R:  72%|███████▏  | 428/598 [00:04<00:01, 100.39frame/s]

   🔥 2000R:  73%|███████▎  | 439/598 [00:04<00:01, 101.89frame/s]

   🔥 2000R:  75%|███████▌  | 450/598 [00:04<00:01, 96.82frame/s] 

   🔥 2000R:  77%|███████▋  | 460/598 [00:05<00:01, 93.57frame/s]

   🔥 2000R:  79%|███████▊  | 470/598 [00:05<00:01, 91.28frame/s]

   🔥 2000R:  80%|████████  | 480/598 [00:05<00:01, 89.54frame/s]

   🔥 2000R:  82%|████████▏ | 489/598 [00:05<00:01, 88.18frame/s]

   🔥 2000R:  83%|████████▎ | 498/598 [00:05<00:01, 86.39frame/s]

   🔥 2000R:  85%|████████▍ | 507/598 [00:05<00:01, 84.33frame/s]

   🔥 2000R:  86%|████████▋ | 516/598 [00:05<00:00, 82.82frame/s]

   🔥 2000R:  88%|████████▊ | 525/598 [00:05<00:00, 81.82frame/s]

   🔥 2000R:  89%|████████▉ | 534/598 [00:06<00:00, 81.05frame/s]

   🔥 2000R:  91%|█████████ | 543/598 [00:06<00:00, 80.23frame/s]

   🔥 2000R:  92%|█████████▏| 552/598 [00:06<00:00, 79.84frame/s]

   🔥 2000R:  94%|█████████▎| 560/598 [00:06<00:00, 79.23frame/s]

   🔥 2000R:  95%|█████████▍| 568/598 [00:06<00:00, 78.81frame/s]

   🔥 2000R:  96%|█████████▋| 576/598 [00:06<00:00, 78.74frame/s]

   🔥 2000R:  98%|█████████▊| 584/598 [00:06<00:00, 78.48frame/s]

   🔥 2000R:  99%|█████████▉| 592/598 [00:06<00:00, 78.38frame/s]

                                                                 [✅] 2000R: /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:16<00:16,  8.36s/rig]

   🔥 1000:   0%|          | 0/560 [00:00<?, ?frame/s]

   🔥 1000:   2%|▏         | 9/560 [00:00<00:06, 87.32frame/s]

   🔥 1000:   3%|▎         | 18/560 [00:00<00:06, 84.89frame/s]

   🔥 1000:   5%|▍         | 27/560 [00:00<00:06, 85.05frame/s]

   🔥 1000:   6%|▋         | 36/560 [00:00<00:06, 85.05frame/s]

   🔥 1000:   8%|▊         | 45/560 [00:00<00:06, 85.13frame/s]

   🔥 1000:  10%|▉         | 54/560 [00:00<00:05, 85.27frame/s]

   🔥 1000:  11%|█▏        | 63/560 [00:00<00:05, 85.36frame/s]

   🔥 1000:  13%|█▎        | 72/560 [00:00<00:05, 86.34frame/s]

   🔥 1000:  15%|█▍        | 82/560 [00:00<00:05, 87.77frame/s]

   🔥 1000:  16%|█▋        | 92/560 [00:01<00:05, 89.44frame/s]

   🔥 1000:  18%|█▊        | 102/560 [00:01<00:05, 90.33frame/s]

   🔥 1000:  20%|██        | 112/560 [00:01<00:04, 90.90frame/s]

   🔥 1000:  22%|██▏       | 122/560 [00:01<00:04, 91.21frame/s]

   🔥 1000:  24%|██▎       | 132/560 [00:01<00:04, 91.98frame/s]

   🔥 1000:  25%|██▌       | 142/560 [00:01<00:04, 92.48frame/s]

   🔥 1000:  27%|██▋       | 152/560 [00:01<00:04, 92.56frame/s]

   🔥 1000:  29%|██▉       | 162/560 [00:01<00:04, 92.90frame/s]

   🔥 1000:  31%|███       | 172/560 [00:01<00:04, 93.10frame/s]

   🔥 1000:  32%|███▎      | 182/560 [00:02<00:04, 93.22frame/s]

   🔥 1000:  34%|███▍      | 192/560 [00:02<00:03, 93.19frame/s]

   🔥 1000:  36%|███▌      | 202/560 [00:02<00:03, 93.34frame/s]

   🔥 1000:  38%|███▊      | 212/560 [00:02<00:03, 93.90frame/s]

   🔥 1000:  40%|███▉      | 222/560 [00:02<00:03, 94.26frame/s]

   🔥 1000:  41%|████▏     | 232/560 [00:02<00:03, 94.87frame/s]

   🔥 1000:  43%|████▎     | 242/560 [00:02<00:03, 95.18frame/s]

   🔥 1000:  45%|████▌     | 252/560 [00:02<00:03, 95.00frame/s]

   🔥 1000:  47%|████▋     | 262/560 [00:02<00:03, 93.84frame/s]

   🔥 1000:  49%|████▊     | 272/560 [00:02<00:03, 92.29frame/s]

   🔥 1000:  50%|█████     | 282/560 [00:03<00:03, 90.78frame/s]

   🔥 1000:  52%|█████▏    | 292/560 [00:03<00:02, 89.76frame/s]

   🔥 1000:  54%|█████▍    | 301/560 [00:03<00:02, 88.52frame/s]

   🔥 1000:  55%|█████▌    | 310/560 [00:03<00:02, 87.59frame/s]

   🔥 1000:  57%|█████▋    | 319/560 [00:03<00:02, 86.21frame/s]

   🔥 1000:  59%|█████▊    | 328/560 [00:03<00:02, 85.51frame/s]

   🔥 1000:  60%|██████    | 337/560 [00:03<00:02, 85.17frame/s]

   🔥 1000:  62%|██████▏   | 346/560 [00:03<00:02, 84.60frame/s]

   🔥 1000:  63%|██████▎   | 355/560 [00:03<00:02, 84.18frame/s]

   🔥 1000:  65%|██████▌   | 364/560 [00:04<00:02, 83.31frame/s]

   🔥 1000:  67%|██████▋   | 373/560 [00:04<00:02, 83.08frame/s]

   🔥 1000:  68%|██████▊   | 382/560 [00:04<00:02, 82.57frame/s]

   🔥 1000:  70%|██████▉   | 391/560 [00:04<00:02, 82.71frame/s]

   🔥 1000:  71%|███████▏  | 400/560 [00:04<00:01, 82.46frame/s]

   🔥 1000:  73%|███████▎  | 409/560 [00:04<00:01, 82.60frame/s]

   🔥 1000:  75%|███████▍  | 418/560 [00:04<00:01, 82.15frame/s]

   🔥 1000:  76%|███████▋  | 427/560 [00:04<00:01, 82.40frame/s]

   🔥 1000:  78%|███████▊  | 436/560 [00:04<00:01, 82.27frame/s]

   🔥 1000:  79%|███████▉  | 445/560 [00:05<00:01, 82.85frame/s]

   🔥 1000:  81%|████████  | 454/560 [00:05<00:01, 83.11frame/s]

   🔥 1000:  83%|████████▎ | 463/560 [00:05<00:01, 83.56frame/s]

   🔥 1000:  84%|████████▍ | 472/560 [00:05<00:01, 83.82frame/s]

   🔥 1000:  86%|████████▌ | 481/560 [00:05<00:00, 84.09frame/s]

   🔥 1000:  88%|████████▊ | 490/560 [00:05<00:00, 84.68frame/s]

   🔥 1000:  89%|████████▉ | 499/560 [00:05<00:00, 84.41frame/s]

   🔥 1000:  91%|█████████ | 508/560 [00:05<00:00, 84.43frame/s]

   🔥 1000:  92%|█████████▏| 517/560 [00:05<00:00, 84.95frame/s]

   🔥 1000:  94%|█████████▍| 526/560 [00:06<00:00, 84.99frame/s]

   🔥 1000:  96%|█████████▌| 535/560 [00:06<00:00, 85.21frame/s]

   🔥 1000:  97%|█████████▋| 544/560 [00:06<00:00, 84.96frame/s]

   🔥 1000:  99%|█████████▉| 553/560 [00:06<00:00, 84.42frame/s]

                                                                [✅] 1000: /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:23<00:07,  7.80s/rig]

   🔥 1500:   0%|          | 0/875 [00:00<?, ?frame/s]

   🔥 1500:   1%|          | 9/875 [00:00<00:10, 83.97frame/s]

   🔥 1500:   2%|▏         | 18/875 [00:00<00:09, 87.18frame/s]

   🔥 1500:   3%|▎         | 28/875 [00:00<00:09, 89.87frame/s]

   🔥 1500:   4%|▍         | 38/875 [00:00<00:09, 90.31frame/s]

   🔥 1500:   5%|▌         | 48/875 [00:00<00:09, 90.98frame/s]

   🔥 1500:   7%|▋         | 58/875 [00:00<00:08, 91.82frame/s]

   🔥 1500:   8%|▊         | 68/875 [00:00<00:08, 91.75frame/s]

   🔥 1500:   9%|▉         | 78/875 [00:00<00:08, 91.46frame/s]

   🔥 1500:  10%|█         | 88/875 [00:00<00:08, 91.37frame/s]

   🔥 1500:  11%|█         | 98/875 [00:01<00:08, 91.00frame/s]

   🔥 1500:  12%|█▏        | 108/875 [00:01<00:08, 88.78frame/s]

   🔥 1500:  13%|█▎        | 117/875 [00:01<00:08, 86.35frame/s]

   🔥 1500:  14%|█▍        | 126/875 [00:01<00:08, 84.14frame/s]

   🔥 1500:  15%|█▌        | 135/875 [00:01<00:08, 82.58frame/s]

   🔥 1500:  16%|█▋        | 144/875 [00:01<00:09, 80.83frame/s]

   🔥 1500:  17%|█▋        | 153/875 [00:01<00:09, 79.47frame/s]

   🔥 1500:  18%|█▊        | 161/875 [00:01<00:09, 78.89frame/s]

   🔥 1500:  19%|█▉        | 169/875 [00:01<00:09, 78.39frame/s]

   🔥 1500:  20%|██        | 177/875 [00:02<00:08, 78.07frame/s]

   🔥 1500:  21%|██        | 185/875 [00:02<00:08, 77.72frame/s]

   🔥 1500:  22%|██▏       | 193/875 [00:02<00:08, 78.17frame/s]

   🔥 1500:  23%|██▎       | 201/875 [00:02<00:08, 77.87frame/s]

   🔥 1500:  24%|██▍       | 209/875 [00:02<00:08, 78.30frame/s]

   🔥 1500:  25%|██▍       | 217/875 [00:02<00:08, 78.25frame/s]

   🔥 1500:  26%|██▌       | 225/875 [00:02<00:08, 78.23frame/s]

   🔥 1500:  27%|██▋       | 233/875 [00:02<00:08, 78.17frame/s]

   🔥 1500:  28%|██▊       | 241/875 [00:02<00:08, 78.43frame/s]

   🔥 1500:  28%|██▊       | 249/875 [00:03<00:07, 78.46frame/s]

   🔥 1500:  29%|██▉       | 257/875 [00:03<00:07, 78.40frame/s]

   🔥 1500:  30%|███       | 265/875 [00:03<00:07, 78.44frame/s]

   🔥 1500:  31%|███       | 273/875 [00:03<00:07, 78.23frame/s]

   🔥 1500:  32%|███▏      | 281/875 [00:03<00:07, 77.98frame/s]

   🔥 1500:  33%|███▎      | 289/875 [00:03<00:07, 78.30frame/s]

   🔥 1500:  34%|███▍      | 297/875 [00:03<00:07, 78.60frame/s]

   🔥 1500:  35%|███▍      | 305/875 [00:03<00:07, 78.57frame/s]

   🔥 1500:  36%|███▌      | 313/875 [00:03<00:07, 78.80frame/s]

   🔥 1500:  37%|███▋      | 321/875 [00:03<00:07, 78.57frame/s]

   🔥 1500:  38%|███▊      | 330/875 [00:04<00:06, 79.16frame/s]

   🔥 1500:  39%|███▊      | 338/875 [00:04<00:06, 79.38frame/s]

   🔥 1500:  40%|███▉      | 347/875 [00:04<00:06, 79.72frame/s]

   🔥 1500:  41%|████      | 355/875 [00:04<00:06, 79.77frame/s]

   🔥 1500:  41%|████▏     | 363/875 [00:04<00:06, 79.79frame/s]

   🔥 1500:  43%|████▎     | 372/875 [00:04<00:06, 79.86frame/s]

   🔥 1500:  44%|████▎     | 381/875 [00:04<00:06, 80.50frame/s]

   🔥 1500:  45%|████▍     | 390/875 [00:04<00:06, 80.63frame/s]

   🔥 1500:  46%|████▌     | 399/875 [00:04<00:05, 80.85frame/s]

   🔥 1500:  47%|████▋     | 408/875 [00:04<00:05, 81.66frame/s]

   🔥 1500:  48%|████▊     | 417/875 [00:05<00:05, 82.85frame/s]

   🔥 1500:  49%|████▊     | 426/875 [00:05<00:05, 83.04frame/s]

   🔥 1500:  50%|████▉     | 436/875 [00:05<00:05, 86.03frame/s]

   🔥 1500:  51%|█████     | 446/875 [00:05<00:04, 87.75frame/s]

   🔥 1500:  52%|█████▏    | 456/875 [00:05<00:04, 89.33frame/s]

   🔥 1500:  53%|█████▎    | 466/875 [00:05<00:04, 91.58frame/s]

   🔥 1500:  54%|█████▍    | 476/875 [00:05<00:04, 92.14frame/s]

   🔥 1500:  56%|█████▌    | 486/875 [00:05<00:04, 91.07frame/s]

   🔥 1500:  57%|█████▋    | 496/875 [00:05<00:04, 90.35frame/s]

   🔥 1500:  58%|█████▊    | 506/875 [00:06<00:04, 88.86frame/s]

   🔥 1500:  59%|█████▉    | 515/875 [00:06<00:04, 87.83frame/s]

   🔥 1500:  60%|█████▉    | 524/875 [00:06<00:04, 87.04frame/s]

   🔥 1500:  61%|██████    | 533/875 [00:06<00:03, 85.89frame/s]

   🔥 1500:  62%|██████▏   | 542/875 [00:06<00:03, 85.00frame/s]

   🔥 1500:  63%|██████▎   | 551/875 [00:06<00:03, 84.05frame/s]

   🔥 1500:  64%|██████▍   | 560/875 [00:06<00:03, 83.49frame/s]

   🔥 1500:  65%|██████▌   | 569/875 [00:06<00:03, 83.18frame/s]

   🔥 1500:  66%|██████▌   | 578/875 [00:06<00:03, 82.86frame/s]

   🔥 1500:  67%|██████▋   | 587/875 [00:07<00:03, 82.64frame/s]

   🔥 1500:  68%|██████▊   | 596/875 [00:07<00:03, 82.16frame/s]

   🔥 1500:  69%|██████▉   | 605/875 [00:07<00:03, 82.08frame/s]

   🔥 1500:  70%|███████   | 614/875 [00:07<00:03, 82.84frame/s]

   🔥 1500:  71%|███████   | 623/875 [00:07<00:03, 83.31frame/s]

   🔥 1500:  72%|███████▏  | 632/875 [00:07<00:02, 82.95frame/s]

   🔥 1500:  73%|███████▎  | 641/875 [00:07<00:02, 82.89frame/s]

   🔥 1500:  74%|███████▍  | 650/875 [00:07<00:02, 82.95frame/s]

   🔥 1500:  75%|███████▌  | 659/875 [00:07<00:02, 83.30frame/s]

   🔥 1500:  76%|███████▋  | 668/875 [00:08<00:02, 83.74frame/s]

   🔥 1500:  77%|███████▋  | 677/875 [00:08<00:02, 83.95frame/s]

   🔥 1500:  78%|███████▊  | 686/875 [00:08<00:02, 84.62frame/s]

   🔥 1500:  79%|███████▉  | 695/875 [00:08<00:02, 84.87frame/s]

   🔥 1500:  80%|████████  | 704/875 [00:08<00:02, 85.01frame/s]

   🔥 1500:  81%|████████▏ | 713/875 [00:08<00:01, 86.18frame/s]

   🔥 1500:  83%|████████▎ | 722/875 [00:08<00:01, 86.95frame/s]

   🔥 1500:  84%|████████▎ | 732/875 [00:08<00:01, 89.12frame/s]

   🔥 1500:  85%|████████▍ | 742/875 [00:08<00:01, 90.70frame/s]

   🔥 1500:  86%|████████▌ | 752/875 [00:08<00:01, 91.48frame/s]

   🔥 1500:  87%|████████▋ | 762/875 [00:09<00:01, 91.47frame/s]

   🔥 1500:  88%|████████▊ | 772/875 [00:09<00:01, 91.34frame/s]

   🔥 1500:  89%|████████▉ | 782/875 [00:09<00:01, 91.06frame/s]

   🔥 1500:  91%|█████████ | 792/875 [00:09<00:00, 91.05frame/s]

   🔥 1500:  92%|█████████▏| 802/875 [00:09<00:00, 91.26frame/s]

   🔥 1500:  93%|█████████▎| 812/875 [00:09<00:00, 91.46frame/s]

   🔥 1500:  94%|█████████▍| 822/875 [00:09<00:00, 92.09frame/s]

   🔥 1500:  95%|█████████▌| 832/875 [00:09<00:00, 92.46frame/s]

   🔥 1500:  96%|█████████▌| 842/875 [00:09<00:00, 92.89frame/s]

   🔥 1500:  97%|█████████▋| 852/875 [00:10<00:00, 92.72frame/s]

   🔥 1500:  99%|█████████▊| 862/875 [00:10<00:00, 92.37frame/s]

   🔥 1500: 100%|█████████▉| 872/875 [00:10<00:00, 91.66frame/s]

                                                                [✅] 1500: /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:35<00:00,  9.35s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:35<00:00,  8.89s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC019_W001(6)_2026-09-04/calibration/debug/5_heatmap
[🏁] Finished processing MDC019_W001(6)_2026-09-04


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