2026-10-15T04:28:51 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDCP3D-SL-009_W043(6)_2026-10-15 ===
2026-10-15T04:28:51 - INFO: Camera ID: 06PFL
2026-10-15T04:28:51 - INFO: Wand ID: 00001f0c348e
2026-10-15T04:28:51 - INFO: Recorded At: 2026-10-14T17:42:21Z

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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 331 stationary frames, 461 remain


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→ 2000L Phase 2: corners:  80%|████████  | 370/460 [00:02<00:00, 164.43it/s]

→ 2000L Phase 2: corners:  84%|████████▍ | 387/460 [00:02<00:00, 159.05it/s]

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→ 2000L Phase 2: corners:  91%|█████████▏| 420/460 [00:03<00:00, 158.68it/s]

→ 2000L Phase 2: corners:  95%|█████████▌| 439/460 [00:03<00:00, 166.47it/s]

                                                                            [PASS2] Frame 0000499: fixed corners {1} (was_fixed=True, trusted=True)
[PASS2] Frame 0000606: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000607: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000608: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000610: fixed corners {2, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000613: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000909: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000910: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000911: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000912: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000611: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000612: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000911: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000609: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000611: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 7 frames fixed, 7 untrusted, 460 total


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→ 2000L Phase 3: finalize:  80%|███████▉  | 366/460 [00:07<00:01, 49.40it/s]

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→ 2000L Phase 3: finalize:  91%|█████████▏| 420/460 [00:08<00:00, 50.75it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 426/460 [00:08<00:00, 50.63it/s]

→ 2000L Phase 3: finalize:  94%|█████████▍| 432/460 [00:08<00:00, 50.33it/s]

→ 2000L Phase 3: finalize:  95%|█████████▌| 438/460 [00:08<00:00, 50.17it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 444/460 [00:08<00:00, 50.37it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 450/460 [00:08<00:00, 50.13it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 456/460 [00:08<00:00, 50.45it/s]

                                                                            
[TIMING] 2000L — 461 frames
  Phase 1  radial detect   (parallel)  :   7.14s  (15.5 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.35s  (7.3 ms/frame)
  Phase 2b corner fix      (sequential):   0.49s
  Phase 3  finalize        (sequential):   8.98s  (19.5 ms/frame)
    decode + undistort                 :   4.56s  (9.9 ms/frame)
    corner apply + refinement          :   2.12s  (4.6 ms/frame)
    segment                            :   1.88s  (4.1 ms/frame)
    smooth                             :   0.26s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  19.96s


Processing Rigs:  25%|██▌       | 1/4 [00:23<01:09, 23.32s/it][INFO] Filtered 349 stationary frames, 423 remain


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→ 1500 (423 images) Phase 1:  65%|██████▌   | 276/423 [00:04<00:01, 80.19it/s]

→ 1500 (423 images) Phase 1:  68%|██████▊   | 286/423 [00:04<00:02, 61.53it/s]

→ 1500 (423 images) Phase 1:  70%|██████▉   | 295/423 [00:04<00:01, 66.73it/s]

→ 1500 (423 images) Phase 1:  72%|███████▏  | 306/423 [00:05<00:01, 75.17it/s]

→ 1500 (423 images) Phase 1:  74%|███████▍  | 315/423 [00:05<00:01, 63.12it/s]

→ 1500 (423 images) Phase 1:  76%|███████▋  | 323/423 [00:05<00:01, 60.71it/s]

→ 1500 (423 images) Phase 1:  80%|███████▉  | 338/423 [00:05<00:01, 76.90it/s]

→ 1500 (423 images) Phase 1:  82%|████████▏ | 347/423 [00:05<00:01, 65.46it/s]

→ 1500 (423 images) Phase 1:  84%|████████▍ | 355/423 [00:05<00:01, 61.11it/s]

→ 1500 (423 images) Phase 1:  87%|████████▋ | 369/423 [00:06<00:00, 74.31it/s]

→ 1500 (423 images) Phase 1:  89%|████████▉ | 378/423 [00:06<00:00, 59.33it/s]

→ 1500 (423 images) Phase 1:  91%|█████████ | 385/423 [00:06<00:00, 60.79it/s]

→ 1500 (423 images) Phase 1:  95%|█████████▍| 401/423 [00:06<00:00, 77.70it/s]

→ 1500 (423 images) Phase 1:  97%|█████████▋| 410/423 [00:06<00:00, 69.65it/s]

→ 1500 (423 images) Phase 1:  99%|█████████▉| 420/423 [00:06<00:00, 68.52it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/422 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/422 [00:00<02:05,  3.36it/s]

→ 1500 Phase 2: corners:   3%|▎         | 14/422 [00:00<00:09, 42.98it/s]

→ 1500 Phase 2: corners:   7%|▋         | 28/422 [00:00<00:05, 72.04it/s]

→ 1500 Phase 2: corners:  10%|█         | 44/422 [00:00<00:03, 97.97it/s]

→ 1500 Phase 2: corners:  14%|█▎        | 57/422 [00:00<00:03, 102.25it/s]

→ 1500 Phase 2: corners:  16%|█▋        | 69/422 [00:00<00:03, 105.77it/s]

→ 1500 Phase 2: corners:  19%|█▉        | 81/422 [00:00<00:03, 107.33it/s]

→ 1500 Phase 2: corners:  23%|██▎       | 96/422 [00:01<00:02, 115.71it/s]

→ 1500 Phase 2: corners:  26%|██▌       | 109/422 [00:01<00:02, 116.09it/s]

→ 1500 Phase 2: corners:  29%|██▊       | 121/422 [00:01<00:02, 112.65it/s]

→ 1500 Phase 2: corners:  32%|███▏      | 133/422 [00:01<00:02, 114.19it/s]

→ 1500 Phase 2: corners:  34%|███▍      | 145/422 [00:01<00:02, 114.70it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 157/422 [00:01<00:02, 106.18it/s]

→ 1500 Phase 2: corners:  40%|███▉      | 168/422 [00:01<00:02, 94.30it/s] 

→ 1500 Phase 2: corners:  43%|████▎     | 180/422 [00:01<00:02, 98.44it/s]

→ 1500 Phase 2: corners:  45%|████▌     | 191/422 [00:01<00:02, 97.23it/s]

→ 1500 Phase 2: corners:  48%|████▊     | 201/422 [00:02<00:02, 93.90it/s]

→ 1500 Phase 2: corners:  51%|█████     | 215/422 [00:02<00:02, 101.87it/s]

→ 1500 Phase 2: corners:  54%|█████▍    | 227/422 [00:02<00:01, 106.61it/s]

→ 1500 Phase 2: corners:  56%|█████▋    | 238/422 [00:02<00:01, 99.37it/s] 

→ 1500 Phase 2: corners:  59%|█████▉    | 250/422 [00:02<00:01, 103.69it/s]

→ 1500 Phase 2: corners:  62%|██████▏   | 261/422 [00:02<00:01, 100.12it/s]

→ 1500 Phase 2: corners:  64%|██████▍   | 272/422 [00:02<00:01, 99.14it/s] 

→ 1500 Phase 2: corners:  67%|██████▋   | 282/422 [00:02<00:01, 97.62it/s]

→ 1500 Phase 2: corners:  69%|██████▉   | 292/422 [00:03<00:01, 94.74it/s]

→ 1500 Phase 2: corners:  72%|███████▏  | 302/422 [00:03<00:01, 92.36it/s]

→ 1500 Phase 2: corners:  74%|███████▍  | 312/422 [00:03<00:01, 92.60it/s]

→ 1500 Phase 2: corners:  76%|███████▋  | 322/422 [00:03<00:01, 89.02it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 331/422 [00:03<00:01, 88.51it/s]

→ 1500 Phase 2: corners:  81%|████████  | 341/422 [00:03<00:00, 88.19it/s]

→ 1500 Phase 2: corners:  83%|████████▎ | 350/422 [00:03<00:00, 85.47it/s]

→ 1500 Phase 2: corners:  85%|████████▌ | 360/422 [00:03<00:00, 84.51it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 373/422 [00:03<00:00, 95.86it/s]

→ 1500 Phase 2: corners:  91%|█████████ | 383/422 [00:04<00:00, 88.86it/s]

→ 1500 Phase 2: corners:  93%|█████████▎| 394/422 [00:04<00:00, 93.59it/s]

→ 1500 Phase 2: corners:  96%|█████████▌| 405/422 [00:04<00:00, 95.83it/s]

→ 1500 Phase 2: corners:  99%|█████████▉| 417/422 [00:04<00:00, 99.72it/s]

                                                                          [PASS2] Frame 0000581: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000582: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000583: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000584: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 2 frames fixed, 5 untrusted, 422 total


→ 1500 Phase 3: finalize:   0%|          | 0/422 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 4/422 [00:00<00:10, 39.21it/s]

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→ 1500 Phase 3: finalize:  10%|█         | 44/422 [00:01<00:08, 43.96it/s]

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→ 1500 Phase 3: finalize:  17%|█▋        | 70/422 [00:01<00:07, 45.95it/s]

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→ 1500 Phase 3: finalize:  19%|█▉        | 82/422 [00:01<00:06, 52.02it/s]

→ 1500 Phase 3: finalize:  21%|██        | 88/422 [00:01<00:06, 53.35it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 94/422 [00:02<00:06, 51.90it/s]

→ 1500 Phase 3: finalize:  24%|██▎       | 100/422 [00:02<00:06, 50.96it/s]

→ 1500 Phase 3: finalize:  25%|██▌       | 106/422 [00:02<00:06, 50.53it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 112/422 [00:02<00:06, 50.36it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 118/422 [00:02<00:06, 50.31it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 124/422 [00:02<00:05, 50.15it/s]

→ 1500 Phase 3: finalize:  31%|███       | 130/422 [00:02<00:05, 50.01it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 136/422 [00:02<00:05, 49.95it/s]

→ 1500 Phase 3: finalize:  34%|███▎      | 142/422 [00:02<00:05, 50.01it/s]

→ 1500 Phase 3: finalize:  35%|███▌      | 148/422 [00:03<00:05, 50.18it/s]

→ 1500 Phase 3: finalize:  36%|███▋      | 154/422 [00:03<00:05, 50.30it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 160/422 [00:03<00:05, 46.85it/s]

→ 1500 Phase 3: finalize:  39%|███▉      | 165/422 [00:03<00:05, 44.18it/s]

→ 1500 Phase 3: finalize:  40%|████      | 170/422 [00:03<00:05, 42.32it/s]

→ 1500 Phase 3: finalize:  41%|████▏     | 175/422 [00:03<00:06, 41.05it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 180/422 [00:03<00:06, 40.11it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 185/422 [00:04<00:06, 39.49it/s]

→ 1500 Phase 3: finalize:  45%|████▍     | 189/422 [00:04<00:05, 39.02it/s]

→ 1500 Phase 3: finalize:  46%|████▌     | 193/422 [00:04<00:05, 39.07it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 197/422 [00:04<00:05, 38.64it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 201/422 [00:04<00:07, 29.75it/s]

→ 1500 Phase 3: finalize:  49%|████▊     | 205/422 [00:04<00:06, 31.75it/s]

→ 1500 Phase 3: finalize:  50%|████▉     | 209/422 [00:04<00:06, 33.35it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 213/422 [00:04<00:06, 34.50it/s]

→ 1500 Phase 3: finalize:  51%|█████▏    | 217/422 [00:04<00:05, 35.53it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 221/422 [00:05<00:05, 36.20it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 225/422 [00:05<00:05, 36.52it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 229/422 [00:05<00:05, 36.84it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 233/422 [00:05<00:05, 37.07it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 237/422 [00:05<00:04, 37.25it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 241/422 [00:05<00:04, 37.33it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 245/422 [00:05<00:04, 37.43it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 249/422 [00:05<00:04, 37.59it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 253/422 [00:05<00:04, 37.76it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 257/422 [00:06<00:04, 37.92it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 261/422 [00:06<00:04, 38.06it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 265/422 [00:06<00:04, 38.13it/s]

→ 1500 Phase 3: finalize:  64%|██████▎   | 269/422 [00:06<00:04, 38.15it/s]

→ 1500 Phase 3: finalize:  65%|██████▍   | 273/422 [00:06<00:03, 38.10it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 277/422 [00:06<00:03, 38.06it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 281/422 [00:06<00:03, 37.99it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 285/422 [00:06<00:03, 37.89it/s]

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→ 1500 Phase 3: finalize:  69%|██████▉   | 293/422 [00:06<00:03, 37.52it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 297/422 [00:07<00:03, 37.43it/s]

→ 1500 Phase 3: finalize:  71%|███████▏  | 301/422 [00:07<00:03, 37.03it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 305/422 [00:07<00:03, 37.02it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 309/422 [00:07<00:03, 37.17it/s]

→ 1500 Phase 3: finalize:  74%|███████▍  | 313/422 [00:07<00:02, 37.37it/s]

→ 1500 Phase 3: finalize:  75%|███████▌  | 317/422 [00:07<00:02, 37.45it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 321/422 [00:07<00:02, 37.37it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 325/422 [00:07<00:02, 37.17it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 329/422 [00:07<00:02, 37.07it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 333/422 [00:08<00:02, 36.98it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 337/422 [00:08<00:02, 36.91it/s]

→ 1500 Phase 3: finalize:  81%|████████  | 341/422 [00:08<00:02, 36.88it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 345/422 [00:08<00:02, 36.89it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 349/422 [00:08<00:01, 36.94it/s]

→ 1500 Phase 3: finalize:  84%|████████▎ | 353/422 [00:08<00:01, 37.00it/s]

→ 1500 Phase 3: finalize:  85%|████████▍ | 357/422 [00:08<00:01, 37.02it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 361/422 [00:08<00:01, 36.99it/s]

→ 1500 Phase 3: finalize:  86%|████████▋ | 365/422 [00:08<00:01, 37.02it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 369/422 [00:09<00:01, 37.05it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 373/422 [00:09<00:01, 37.09it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 377/422 [00:09<00:01, 37.17it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 381/422 [00:09<00:01, 37.16it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 385/422 [00:09<00:00, 37.31it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 389/422 [00:09<00:00, 37.44it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 393/422 [00:09<00:00, 37.41it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 397/422 [00:09<00:00, 37.29it/s]

→ 1500 Phase 3: finalize:  95%|█████████▌| 401/422 [00:09<00:00, 37.14it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 405/422 [00:10<00:00, 37.07it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 409/422 [00:10<00:00, 37.10it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 413/422 [00:10<00:00, 37.16it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 417/422 [00:10<00:00, 37.18it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 421/422 [00:10<00:00, 37.19it/s]

                                                                           
[TIMING] 1500 — 423 frames
  Phase 1  radial detect   (parallel)  :   6.93s  (16.4 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.51s  (10.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.33s
  Phase 3  finalize        (sequential):  10.46s  (24.7 ms/frame)
    decode + undistort                 :   4.86s  (11.5 ms/frame)
    corner apply + refinement          :   2.61s  (6.2 ms/frame)
    segment                            :   2.48s  (5.9 ms/frame)
    smooth                             :   0.30s  (0.7 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  22.22s


Processing Rigs:  50%|█████     | 2/4 [00:48<00:49, 24.58s/it][INFO] Filtered 366 stationary frames, 284 remain


→ 1000 (284 images) Phase 1:   0%|          | 0/284 [00:00<?, ?it/s]

→ 1000 (284 images) Phase 1:   0%|          | 1/284 [00:00<03:06,  1.51it/s]

→ 1000 (284 images) Phase 1:   1%|          | 2/284 [00:01<02:38,  1.78it/s]

→ 1000 (284 images) Phase 1:   3%|▎         | 8/284 [00:01<00:30,  9.17it/s]

→ 1000 (284 images) Phase 1:   9%|▉         | 26/284 [00:01<00:07, 35.23it/s]

→ 1000 (284 images) Phase 1:  12%|█▏        | 35/284 [00:01<00:09, 27.54it/s]

→ 1000 (284 images) Phase 1:  14%|█▍        | 41/284 [00:01<00:08, 29.53it/s]

→ 1000 (284 images) Phase 1:  17%|█▋        | 48/284 [00:02<00:06, 35.11it/s]

→ 1000 (284 images) Phase 1:  20%|█▉        | 56/284 [00:02<00:05, 40.80it/s]

→ 1000 (284 images) Phase 1:  22%|██▏       | 62/284 [00:02<00:05, 43.22it/s]

→ 1000 (284 images) Phase 1:  24%|██▍       | 68/284 [00:02<00:04, 44.53it/s]

→ 1000 (284 images) Phase 1:  26%|██▌       | 74/284 [00:02<00:05, 35.35it/s]

→ 1000 (284 images) Phase 1:  28%|██▊       | 79/284 [00:02<00:05, 37.12it/s]

→ 1000 (284 images) Phase 1:  30%|██▉       | 85/284 [00:02<00:04, 41.08it/s]

→ 1000 (284 images) Phase 1:  32%|███▏      | 90/284 [00:03<00:04, 42.59it/s]

→ 1000 (284 images) Phase 1:  35%|███▍      | 98/284 [00:03<00:03, 51.43it/s]

→ 1000 (284 images) Phase 1:  37%|███▋      | 104/284 [00:03<00:04, 42.26it/s]

→ 1000 (284 images) Phase 1:  39%|███▊      | 110/284 [00:03<00:03, 46.17it/s]

→ 1000 (284 images) Phase 1:  41%|████      | 116/284 [00:03<00:03, 42.44it/s]

→ 1000 (284 images) Phase 1:  43%|████▎     | 122/284 [00:03<00:03, 43.97it/s]

→ 1000 (284 images) Phase 1:  45%|████▍     | 127/284 [00:03<00:03, 43.07it/s]

→ 1000 (284 images) Phase 1:  46%|████▋     | 132/284 [00:04<00:03, 41.48it/s]

→ 1000 (284 images) Phase 1:  49%|████▊     | 138/284 [00:04<00:03, 42.69it/s]

→ 1000 (284 images) Phase 1:  50%|█████     | 143/284 [00:04<00:03, 38.51it/s]

→ 1000 (284 images) Phase 1:  53%|█████▎    | 150/284 [00:04<00:02, 45.50it/s]

→ 1000 (284 images) Phase 1:  55%|█████▍    | 155/284 [00:04<00:02, 43.75it/s]

→ 1000 (284 images) Phase 1:  58%|█████▊    | 164/284 [00:04<00:02, 47.69it/s]

→ 1000 (284 images) Phase 1:  60%|█████▉    | 169/284 [00:04<00:02, 47.98it/s]

→ 1000 (284 images) Phase 1:  61%|██████▏   | 174/284 [00:04<00:02, 48.14it/s]

→ 1000 (284 images) Phase 1:  63%|██████▎   | 179/284 [00:05<00:02, 44.48it/s]

→ 1000 (284 images) Phase 1:  65%|██████▌   | 185/284 [00:05<00:02, 45.57it/s]

→ 1000 (284 images) Phase 1:  67%|██████▋   | 191/284 [00:05<00:01, 46.89it/s]

→ 1000 (284 images) Phase 1:  70%|██████▉   | 198/284 [00:05<00:01, 49.44it/s]

→ 1000 (284 images) Phase 1:  72%|███████▏  | 204/284 [00:05<00:01, 47.38it/s]

→ 1000 (284 images) Phase 1:  74%|███████▎  | 209/284 [00:05<00:01, 47.31it/s]

→ 1000 (284 images) Phase 1:  75%|███████▌  | 214/284 [00:05<00:01, 41.00it/s]

→ 1000 (284 images) Phase 1:  77%|███████▋  | 219/284 [00:05<00:01, 40.67it/s]

→ 1000 (284 images) Phase 1:  79%|███████▉  | 224/284 [00:06<00:01, 41.22it/s]

→ 1000 (284 images) Phase 1:  81%|████████▏ | 231/284 [00:06<00:01, 48.03it/s]

→ 1000 (284 images) Phase 1:  84%|████████▍ | 239/284 [00:06<00:00, 53.12it/s]

→ 1000 (284 images) Phase 1:  86%|████████▋ | 245/284 [00:06<00:00, 52.95it/s]

→ 1000 (284 images) Phase 1:  88%|████████▊ | 251/284 [00:06<00:00, 38.94it/s]

→ 1000 (284 images) Phase 1:  92%|█████████▏| 260/284 [00:06<00:00, 47.89it/s]

→ 1000 (284 images) Phase 1:  94%|█████████▎| 266/284 [00:06<00:00, 50.01it/s]

→ 1000 (284 images) Phase 1:  97%|█████████▋| 275/284 [00:06<00:00, 58.19it/s]

→ 1000 (284 images) Phase 1:  99%|█████████▉| 282/284 [00:07<00:00, 60.46it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/283 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/283 [00:00<02:27,  1.91it/s]

→ 1000 Phase 2: corners:   2%|▏         | 6/283 [00:00<00:23, 11.75it/s]

→ 1000 Phase 2: corners:   5%|▍         | 14/283 [00:00<00:10, 25.00it/s]

→ 1000 Phase 2: corners:   7%|▋         | 21/283 [00:00<00:07, 34.62it/s]

→ 1000 Phase 2: corners:  10%|▉         | 28/283 [00:01<00:06, 42.33it/s]

→ 1000 Phase 2: corners:  12%|█▏        | 34/283 [00:01<00:05, 46.22it/s]

→ 1000 Phase 2: corners:  14%|█▍        | 40/283 [00:01<00:04, 49.11it/s]

→ 1000 Phase 2: corners:  17%|█▋        | 48/283 [00:01<00:04, 56.47it/s]

→ 1000 Phase 2: corners:  19%|█▉        | 55/283 [00:01<00:04, 52.07it/s]

→ 1000 Phase 2: corners:  23%|██▎       | 65/283 [00:01<00:03, 60.06it/s]

→ 1000 Phase 2: corners:  25%|██▌       | 72/283 [00:01<00:03, 62.39it/s]

→ 1000 Phase 2: corners:  29%|██▊       | 81/283 [00:01<00:02, 68.63it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 90/283 [00:01<00:02, 72.55it/s]

→ 1000 Phase 2: corners:  36%|███▌      | 101/283 [00:02<00:02, 82.47it/s]

→ 1000 Phase 2: corners:  39%|███▉      | 110/283 [00:02<00:02, 75.28it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 120/283 [00:02<00:02, 80.53it/s]

→ 1000 Phase 2: corners:  46%|████▌     | 129/283 [00:02<00:01, 78.39it/s]

→ 1000 Phase 2: corners:  49%|████▉     | 139/283 [00:02<00:01, 83.61it/s]

→ 1000 Phase 2: corners:  52%|█████▏    | 148/283 [00:02<00:01, 79.72it/s]

→ 1000 Phase 2: corners:  56%|█████▌    | 158/283 [00:02<00:01, 80.86it/s]

→ 1000 Phase 2: corners:  60%|██████    | 170/283 [00:02<00:01, 88.47it/s]

→ 1000 Phase 2: corners:  63%|██████▎   | 179/283 [00:02<00:01, 83.80it/s]

→ 1000 Phase 2: corners:  68%|██████▊   | 193/283 [00:03<00:00, 97.96it/s]

→ 1000 Phase 2: corners:  72%|███████▏  | 204/283 [00:03<00:00, 91.41it/s]

→ 1000 Phase 2: corners:  76%|███████▌  | 214/283 [00:03<00:00, 87.72it/s]

→ 1000 Phase 2: corners:  79%|███████▉  | 223/283 [00:03<00:00, 85.57it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 234/283 [00:03<00:00, 91.65it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 245/283 [00:03<00:00, 93.29it/s]

→ 1000 Phase 2: corners:  90%|█████████ | 255/283 [00:03<00:00, 88.92it/s]

→ 1000 Phase 2: corners:  95%|█████████▍| 268/283 [00:03<00:00, 99.87it/s]

→ 1000 Phase 2: corners:  99%|█████████▉| 280/283 [00:04<00:00, 102.39it/s]

                                                                           [PASS2] Frame 0000443: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000444: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000445: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000446: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000447: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000448: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000449: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000450: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000451: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000452: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000453: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000454: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000455: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000456: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000709: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000710: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000711: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000712: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000445: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000446: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000448: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000449: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000454: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000455: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000711: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000454: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 14 frames fixed, 10 untrusted, 283 total


→ 1000 Phase 3: finalize:   0%|          | 0/283 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   2%|▏         | 5/283 [00:00<00:06, 41.19it/s]

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→ 1000 Phase 3: finalize:   9%|▉         | 25/283 [00:00<00:05, 46.12it/s]

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→ 1000 Phase 3: finalize:  14%|█▍        | 40/283 [00:00<00:05, 45.84it/s]

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→ 1000 Phase 3: finalize:  19%|█▉        | 55/283 [00:01<00:04, 45.89it/s]

→ 1000 Phase 3: finalize:  21%|██        | 60/283 [00:01<00:04, 45.82it/s]

→ 1000 Phase 3: finalize:  23%|██▎       | 65/283 [00:01<00:04, 45.40it/s]

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→ 1000 Phase 3: finalize:  28%|██▊       | 80/283 [00:01<00:04, 44.85it/s]

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→ 1000 Phase 3: finalize:  32%|███▏      | 90/283 [00:01<00:04, 43.13it/s]

→ 1000 Phase 3: finalize:  34%|███▎      | 95/283 [00:02<00:04, 41.36it/s]

→ 1000 Phase 3: finalize:  35%|███▌      | 100/283 [00:02<00:04, 40.44it/s]

→ 1000 Phase 3: finalize:  37%|███▋      | 105/283 [00:02<00:04, 39.86it/s]

→ 1000 Phase 3: finalize:  39%|███▉      | 110/283 [00:02<00:04, 39.51it/s]

→ 1000 Phase 3: finalize:  40%|████      | 114/283 [00:02<00:04, 39.17it/s]

→ 1000 Phase 3: finalize:  42%|████▏     | 118/283 [00:02<00:04, 38.90it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 122/283 [00:02<00:04, 38.73it/s]

→ 1000 Phase 3: finalize:  45%|████▍     | 126/283 [00:02<00:04, 38.55it/s]

→ 1000 Phase 3: finalize:  46%|████▌     | 130/283 [00:03<00:03, 38.39it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 134/283 [00:03<00:03, 38.26it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 138/283 [00:03<00:03, 38.18it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 142/283 [00:03<00:03, 38.16it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 146/283 [00:03<00:03, 38.15it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 150/283 [00:03<00:03, 38.15it/s]

→ 1000 Phase 3: finalize:  54%|█████▍    | 154/283 [00:03<00:03, 38.15it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 158/283 [00:03<00:03, 38.16it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 162/283 [00:03<00:03, 38.08it/s]

→ 1000 Phase 3: finalize:  59%|█████▊    | 166/283 [00:03<00:03, 37.98it/s]

→ 1000 Phase 3: finalize:  60%|██████    | 170/283 [00:04<00:02, 37.93it/s]

→ 1000 Phase 3: finalize:  61%|██████▏   | 174/283 [00:04<00:02, 37.93it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 178/283 [00:04<00:02, 37.92it/s]

→ 1000 Phase 3: finalize:  64%|██████▍   | 182/283 [00:04<00:02, 37.92it/s]

→ 1000 Phase 3: finalize:  66%|██████▌   | 186/283 [00:04<00:02, 37.93it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 190/283 [00:04<00:02, 37.97it/s]

→ 1000 Phase 3: finalize:  69%|██████▊   | 194/283 [00:04<00:02, 38.07it/s]

→ 1000 Phase 3: finalize:  70%|██████▉   | 198/283 [00:04<00:02, 38.05it/s]

→ 1000 Phase 3: finalize:  71%|███████▏  | 202/283 [00:04<00:02, 38.26it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 206/283 [00:05<00:02, 38.36it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 210/283 [00:05<00:01, 38.36it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 214/283 [00:05<00:01, 38.31it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 219/283 [00:05<00:01, 38.80it/s]

→ 1000 Phase 3: finalize:  79%|███████▉  | 223/283 [00:05<00:01, 38.43it/s]

→ 1000 Phase 3: finalize:  80%|████████  | 227/283 [00:05<00:01, 38.17it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 231/283 [00:05<00:01, 38.02it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 235/283 [00:05<00:01, 37.90it/s]

→ 1000 Phase 3: finalize:  84%|████████▍ | 239/283 [00:05<00:01, 38.02it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 243/283 [00:06<00:01, 38.19it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 247/283 [00:06<00:00, 38.32it/s]

→ 1000 Phase 3: finalize:  89%|████████▊ | 251/283 [00:06<00:00, 38.38it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 255/283 [00:06<00:00, 38.42it/s]

→ 1000 Phase 3: finalize:  92%|█████████▏| 259/283 [00:06<00:00, 38.49it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 263/283 [00:06<00:00, 38.60it/s]

→ 1000 Phase 3: finalize:  94%|█████████▍| 267/283 [00:06<00:00, 38.76it/s]

→ 1000 Phase 3: finalize:  96%|█████████▌| 271/283 [00:06<00:00, 38.91it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 275/283 [00:06<00:00, 39.02it/s]

→ 1000 Phase 3: finalize:  99%|█████████▊| 279/283 [00:06<00:00, 39.07it/s]

→ 1000 Phase 3: finalize: 100%|██████████| 283/283 [00:07<00:00, 39.04it/s]

                                                                           
[TIMING] 1000 — 284 frames
  Phase 1  radial detect   (parallel)  :   7.28s  (25.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.13s  (14.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.80s
  Phase 3  finalize        (sequential):   7.04s  (24.8 ms/frame)
    decode + undistort                 :   3.33s  (11.7 ms/frame)
    corner apply + refinement          :   1.59s  (5.6 ms/frame)
    segment                            :   1.76s  (6.2 ms/frame)
    smooth                             :   0.20s  (0.7 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  19.25s


Processing Rigs:  75%|███████▌  | 3/4 [01:11<00:23, 23.77s/it]

→ 2000R (471 images) Phase 1:   0%|          | 0/471 [00:00<?, ?it/s][INFO] Filtered 262 stationary frames, 471 remain


→ 2000R (471 images) Phase 1:   0%|          | 1/471 [00:00<07:01,  1.12it/s]

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→ 2000R (471 images) Phase 1:   3%|▎         | 16/471 [00:01<00:19, 23.17it/s]

→ 2000R (471 images) Phase 1:   5%|▌         | 25/471 [00:01<00:12, 36.27it/s]

→ 2000R (471 images) Phase 1:   7%|▋         | 32/471 [00:01<00:10, 43.55it/s]

→ 2000R (471 images) Phase 1:   8%|▊         | 39/471 [00:01<00:15, 27.78it/s]

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→ 2000R (471 images) Phase 1:  12%|█▏        | 55/471 [00:02<00:10, 40.19it/s]

→ 2000R (471 images) Phase 1:  13%|█▎        | 61/471 [00:02<00:09, 41.41it/s]

→ 2000R (471 images) Phase 1:  14%|█▍        | 67/471 [00:02<00:10, 39.98it/s]

→ 2000R (471 images) Phase 1:  15%|█▌        | 73/471 [00:02<00:09, 41.55it/s]

→ 2000R (471 images) Phase 1:  17%|█▋        | 78/471 [00:02<00:09, 39.47it/s]

→ 2000R (471 images) Phase 1:  18%|█▊        | 83/471 [00:02<00:09, 40.76it/s]

→ 2000R (471 images) Phase 1:  19%|█▊        | 88/471 [00:03<00:10, 37.39it/s]

→ 2000R (471 images) Phase 1:  20%|█▉        | 94/471 [00:03<00:09, 41.89it/s]

→ 2000R (471 images) Phase 1:  21%|██        | 100/471 [00:03<00:08, 46.18it/s]

→ 2000R (471 images) Phase 1:  23%|██▎       | 107/471 [00:03<00:07, 51.74it/s]

→ 2000R (471 images) Phase 1:  24%|██▍       | 113/471 [00:03<00:08, 41.47it/s]

→ 2000R (471 images) Phase 1:  25%|██▌       | 119/471 [00:03<00:08, 39.88it/s]

→ 2000R (471 images) Phase 1:  26%|██▋       | 124/471 [00:03<00:10, 34.14it/s]

→ 2000R (471 images) Phase 1:  28%|██▊       | 134/471 [00:04<00:07, 46.64it/s]

→ 2000R (471 images) Phase 1:  30%|███       | 142/471 [00:04<00:06, 53.53it/s]

→ 2000R (471 images) Phase 1:  32%|███▏      | 149/471 [00:04<00:06, 48.36it/s]

→ 2000R (471 images) Phase 1:  33%|███▎      | 155/471 [00:04<00:08, 36.26it/s]

→ 2000R (471 images) Phase 1:  34%|███▍      | 160/471 [00:04<00:08, 37.89it/s]

→ 2000R (471 images) Phase 1:  36%|███▌      | 168/471 [00:04<00:06, 46.17it/s]

→ 2000R (471 images) Phase 1:  37%|███▋      | 175/471 [00:04<00:05, 50.53it/s]

→ 2000R (471 images) Phase 1:  38%|███▊      | 181/471 [00:05<00:06, 44.86it/s]

→ 2000R (471 images) Phase 1:  40%|███▉      | 187/471 [00:05<00:06, 46.81it/s]

→ 2000R (471 images) Phase 1:  41%|████      | 193/471 [00:05<00:06, 39.78it/s]

→ 2000R (471 images) Phase 1:  42%|████▏     | 198/471 [00:05<00:06, 39.11it/s]

→ 2000R (471 images) Phase 1:  44%|████▍     | 209/471 [00:05<00:04, 54.31it/s]

→ 2000R (471 images) Phase 1:  46%|████▌     | 216/471 [00:05<00:05, 44.33it/s]

→ 2000R (471 images) Phase 1:  47%|████▋     | 222/471 [00:06<00:05, 42.85it/s]

→ 2000R (471 images) Phase 1:  48%|████▊     | 227/471 [00:06<00:06, 40.66it/s]

→ 2000R (471 images) Phase 1:  50%|████▉     | 235/471 [00:06<00:04, 49.11it/s]

→ 2000R (471 images) Phase 1:  51%|█████     | 241/471 [00:06<00:04, 48.71it/s]

→ 2000R (471 images) Phase 1:  52%|█████▏    | 247/471 [00:06<00:04, 45.91it/s]

→ 2000R (471 images) Phase 1:  54%|█████▎    | 253/471 [00:06<00:05, 41.69it/s]

→ 2000R (471 images) Phase 1:  55%|█████▌    | 260/471 [00:06<00:04, 47.76it/s]

→ 2000R (471 images) Phase 1:  56%|█████▋    | 266/471 [00:06<00:04, 45.92it/s]

→ 2000R (471 images) Phase 1:  58%|█████▊    | 271/471 [00:07<00:04, 42.40it/s]

→ 2000R (471 images) Phase 1:  59%|█████▉    | 278/471 [00:07<00:04, 47.97it/s]

→ 2000R (471 images) Phase 1:  60%|██████    | 284/471 [00:07<00:04, 43.85it/s]

→ 2000R (471 images) Phase 1:  62%|██████▏   | 291/471 [00:07<00:03, 49.94it/s]

→ 2000R (471 images) Phase 1:  63%|██████▎   | 297/471 [00:07<00:03, 43.96it/s]

→ 2000R (471 images) Phase 1:  64%|██████▍   | 303/471 [00:07<00:03, 46.75it/s]

→ 2000R (471 images) Phase 1:  66%|██████▌   | 309/471 [00:07<00:03, 47.10it/s]

→ 2000R (471 images) Phase 1:  67%|██████▋   | 317/471 [00:08<00:03, 46.31it/s]

→ 2000R (471 images) Phase 1:  69%|██████▊   | 323/471 [00:08<00:03, 46.21it/s]

→ 2000R (471 images) Phase 1:  70%|██████▉   | 328/471 [00:08<00:03, 42.47it/s]

→ 2000R (471 images) Phase 1:  72%|███████▏  | 337/471 [00:08<00:02, 53.09it/s]

→ 2000R (471 images) Phase 1:  73%|███████▎  | 343/471 [00:08<00:02, 47.54it/s]

→ 2000R (471 images) Phase 1:  74%|███████▍  | 349/471 [00:08<00:02, 49.46it/s]

→ 2000R (471 images) Phase 1:  75%|███████▌  | 355/471 [00:08<00:02, 45.60it/s]

→ 2000R (471 images) Phase 1:  77%|███████▋  | 361/471 [00:09<00:02, 45.91it/s]

→ 2000R (471 images) Phase 1:  78%|███████▊  | 366/471 [00:09<00:02, 39.54it/s]

→ 2000R (471 images) Phase 1:  80%|███████▉  | 375/471 [00:09<00:01, 50.77it/s]

→ 2000R (471 images) Phase 1:  81%|████████  | 381/471 [00:09<00:01, 49.34it/s]

→ 2000R (471 images) Phase 1:  82%|████████▏ | 387/471 [00:09<00:01, 47.86it/s]

→ 2000R (471 images) Phase 1:  83%|████████▎ | 393/471 [00:09<00:01, 50.57it/s]

→ 2000R (471 images) Phase 1:  85%|████████▍ | 399/471 [00:09<00:01, 45.17it/s]

→ 2000R (471 images) Phase 1:  86%|████████▌ | 404/471 [00:09<00:01, 42.50it/s]

→ 2000R (471 images) Phase 1:  88%|████████▊ | 413/471 [00:10<00:01, 45.34it/s]

→ 2000R (471 images) Phase 1:  89%|████████▉ | 419/471 [00:10<00:01, 48.06it/s]

→ 2000R (471 images) Phase 1:  90%|█████████ | 424/471 [00:10<00:00, 48.04it/s]

→ 2000R (471 images) Phase 1:  91%|█████████ | 429/471 [00:10<00:00, 48.50it/s]

→ 2000R (471 images) Phase 1:  92%|█████████▏| 434/471 [00:10<00:00, 42.96it/s]

→ 2000R (471 images) Phase 1:  94%|█████████▍| 445/471 [00:10<00:00, 57.95it/s]

→ 2000R (471 images) Phase 1:  96%|█████████▌| 452/471 [00:10<00:00, 48.12it/s]

→ 2000R (471 images) Phase 1:  97%|█████████▋| 458/471 [00:11<00:00, 48.88it/s]

→ 2000R (471 images) Phase 1: 100%|█████████▉| 470/471 [00:11<00:00, 62.81it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/470 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/470 [00:00<04:17,  1.82it/s]

→ 2000R Phase 2: corners:   1%|          | 4/470 [00:00<01:02,  7.44it/s]

→ 2000R Phase 2: corners:   3%|▎         | 13/470 [00:00<00:18, 25.37it/s]

→ 2000R Phase 2: corners:   4%|▍         | 19/470 [00:00<00:13, 32.81it/s]

→ 2000R Phase 2: corners:   5%|▌         | 25/470 [00:01<00:11, 38.07it/s]

→ 2000R Phase 2: corners:   7%|▋         | 33/470 [00:01<00:09, 46.79it/s]

→ 2000R Phase 2: corners:   9%|▊         | 41/470 [00:01<00:07, 54.70it/s]

→ 2000R Phase 2: corners:  11%|█         | 50/470 [00:01<00:06, 64.05it/s]

→ 2000R Phase 2: corners:  12%|█▏        | 58/470 [00:01<00:06, 61.18it/s]

→ 2000R Phase 2: corners:  14%|█▍        | 65/470 [00:01<00:06, 58.49it/s]

→ 2000R Phase 2: corners:  16%|█▌        | 73/470 [00:01<00:07, 56.27it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 79/470 [00:01<00:06, 56.56it/s]

→ 2000R Phase 2: corners:  19%|█▊        | 88/470 [00:01<00:05, 64.16it/s]

→ 2000R Phase 2: corners:  20%|██        | 95/470 [00:02<00:06, 57.80it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 104/470 [00:02<00:05, 62.74it/s]

→ 2000R Phase 2: corners:  24%|██▎       | 111/470 [00:02<00:05, 60.57it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 122/470 [00:02<00:05, 67.96it/s]

→ 2000R Phase 2: corners:  28%|██▊       | 130/470 [00:02<00:04, 70.18it/s]

→ 2000R Phase 2: corners:  29%|██▉       | 138/470 [00:02<00:04, 70.21it/s]

→ 2000R Phase 2: corners:  31%|███▏      | 148/470 [00:02<00:04, 74.10it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 156/470 [00:02<00:04, 70.77it/s]

→ 2000R Phase 2: corners:  36%|███▌      | 167/470 [00:03<00:03, 80.88it/s]

→ 2000R Phase 2: corners:  37%|███▋      | 176/470 [00:03<00:03, 81.39it/s]

→ 2000R Phase 2: corners:  39%|███▉      | 185/470 [00:03<00:03, 78.52it/s]

→ 2000R Phase 2: corners:  41%|████      | 193/470 [00:03<00:03, 74.96it/s]

→ 2000R Phase 2: corners:  44%|████▎     | 205/470 [00:03<00:03, 83.63it/s]

→ 2000R Phase 2: corners:  46%|████▌     | 214/470 [00:03<00:03, 80.40it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 226/470 [00:03<00:02, 90.33it/s]

→ 2000R Phase 2: corners:  50%|█████     | 236/470 [00:03<00:02, 90.24it/s]

→ 2000R Phase 2: corners:  52%|█████▏    | 246/470 [00:03<00:02, 90.31it/s]

→ 2000R Phase 2: corners:  54%|█████▍    | 256/470 [00:04<00:02, 89.34it/s]

→ 2000R Phase 2: corners:  57%|█████▋    | 268/470 [00:04<00:02, 95.08it/s]

→ 2000R Phase 2: corners:  59%|█████▉    | 278/470 [00:04<00:02, 94.25it/s]

→ 2000R Phase 2: corners:  61%|██████▏   | 288/470 [00:04<00:02, 88.75it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 297/470 [00:04<00:02, 81.73it/s]

→ 2000R Phase 2: corners:  65%|██████▌   | 306/470 [00:04<00:02, 81.14it/s]

→ 2000R Phase 2: corners:  67%|██████▋   | 317/470 [00:04<00:01, 88.73it/s]

→ 2000R Phase 2: corners:  70%|██████▉   | 327/470 [00:04<00:01, 83.25it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 337/470 [00:05<00:01, 83.21it/s]

→ 2000R Phase 2: corners:  74%|███████▍  | 348/470 [00:05<00:01, 86.58it/s]

→ 2000R Phase 2: corners:  76%|███████▌  | 358/470 [00:05<00:01, 90.10it/s]

→ 2000R Phase 2: corners:  78%|███████▊  | 368/470 [00:05<00:01, 89.87it/s]

→ 2000R Phase 2: corners:  80%|████████  | 378/470 [00:05<00:01, 90.31it/s]

→ 2000R Phase 2: corners:  83%|████████▎ | 389/470 [00:05<00:00, 93.81it/s]

→ 2000R Phase 2: corners:  85%|████████▍ | 399/470 [00:05<00:00, 91.81it/s]

→ 2000R Phase 2: corners:  87%|████████▋ | 409/470 [00:05<00:00, 83.97it/s]

→ 2000R Phase 2: corners:  89%|████████▉ | 420/470 [00:05<00:00, 88.77it/s]

→ 2000R Phase 2: corners:  92%|█████████▏| 433/470 [00:06<00:00, 96.87it/s]

→ 2000R Phase 2: corners:  94%|█████████▍| 443/470 [00:06<00:00, 93.70it/s]

→ 2000R Phase 2: corners:  97%|█████████▋| 454/470 [00:06<00:00, 97.62it/s]

→ 2000R Phase 2: corners:  99%|█████████▊| 464/470 [00:06<00:00, 89.25it/s]

                                                                           [PASS2] Frame 0000244: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000568: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000573: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000574: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000606: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000607: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000608: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000609: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000915: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000916: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000917: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000918: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000917: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 6 frames fixed, 6 untrusted, 470 total


→ 2000R Phase 3: finalize:   0%|          | 0/470 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   1%|          | 4/470 [00:00<00:14, 32.96it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 8/470 [00:00<00:13, 34.44it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 12/470 [00:00<00:13, 34.93it/s]

→ 2000R Phase 3: finalize:   3%|▎         | 16/470 [00:00<00:12, 35.17it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 20/470 [00:00<00:12, 35.43it/s]

→ 2000R Phase 3: finalize:   5%|▌         | 24/470 [00:00<00:12, 35.43it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 28/470 [00:00<00:12, 35.48it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 32/470 [00:00<00:12, 35.39it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 36/470 [00:01<00:12, 35.45it/s]

→ 2000R Phase 3: finalize:   9%|▊         | 40/470 [00:01<00:12, 35.69it/s]

→ 2000R Phase 3: finalize:   9%|▉         | 44/470 [00:01<00:11, 35.99it/s]

→ 2000R Phase 3: finalize:  10%|█         | 48/470 [00:01<00:11, 36.09it/s]

→ 2000R Phase 3: finalize:  11%|█         | 52/470 [00:01<00:11, 36.16it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 56/470 [00:01<00:11, 36.13it/s]

→ 2000R Phase 3: finalize:  13%|█▎        | 60/470 [00:01<00:11, 36.17it/s]

→ 2000R Phase 3: finalize:  14%|█▎        | 64/470 [00:01<00:11, 36.16it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 68/470 [00:01<00:11, 36.09it/s]

→ 2000R Phase 3: finalize:  15%|█▌        | 72/470 [00:02<00:11, 36.05it/s]

→ 2000R Phase 3: finalize:  16%|█▌        | 76/470 [00:02<00:10, 36.02it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 80/470 [00:02<00:10, 36.15it/s]

→ 2000R Phase 3: finalize:  18%|█▊        | 84/470 [00:02<00:10, 36.05it/s]

→ 2000R Phase 3: finalize:  19%|█▊        | 88/470 [00:02<00:11, 33.96it/s]

→ 2000R Phase 3: finalize:  20%|█▉        | 92/470 [00:02<00:11, 32.65it/s]

→ 2000R Phase 3: finalize:  20%|██        | 96/470 [00:02<00:11, 31.85it/s]

→ 2000R Phase 3: finalize:  21%|██▏       | 100/470 [00:02<00:11, 31.35it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 104/470 [00:03<00:11, 30.99it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 108/470 [00:03<00:11, 30.72it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 112/470 [00:03<00:11, 30.59it/s]

→ 2000R Phase 3: finalize:  25%|██▍       | 116/470 [00:03<00:11, 30.47it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 120/470 [00:03<00:11, 30.29it/s]

→ 2000R Phase 3: finalize:  26%|██▋       | 124/470 [00:03<00:11, 30.34it/s]

→ 2000R Phase 3: finalize:  27%|██▋       | 128/470 [00:03<00:11, 30.39it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 132/470 [00:03<00:11, 30.41it/s]

→ 2000R Phase 3: finalize:  29%|██▉       | 136/470 [00:04<00:10, 30.50it/s]

→ 2000R Phase 3: finalize:  30%|██▉       | 140/470 [00:04<00:10, 30.55it/s]

→ 2000R Phase 3: finalize:  31%|███       | 144/470 [00:04<00:10, 30.56it/s]

→ 2000R Phase 3: finalize:  31%|███▏      | 148/470 [00:04<00:10, 30.64it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 152/470 [00:04<00:10, 30.77it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 156/470 [00:04<00:10, 31.04it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 160/470 [00:04<00:09, 31.22it/s]

→ 2000R Phase 3: finalize:  35%|███▍      | 164/470 [00:04<00:09, 31.33it/s]

→ 2000R Phase 3: finalize:  36%|███▌      | 168/470 [00:05<00:09, 31.49it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 172/470 [00:05<00:09, 31.65it/s]

→ 2000R Phase 3: finalize:  37%|███▋      | 176/470 [00:05<00:09, 31.64it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 180/470 [00:05<00:09, 31.86it/s]

→ 2000R Phase 3: finalize:  39%|███▉      | 184/470 [00:05<00:08, 31.92it/s]

→ 2000R Phase 3: finalize:  40%|████      | 188/470 [00:05<00:08, 31.95it/s]

→ 2000R Phase 3: finalize:  41%|████      | 192/470 [00:05<00:08, 31.98it/s]

→ 2000R Phase 3: finalize:  42%|████▏     | 196/470 [00:05<00:08, 32.00it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 200/470 [00:06<00:08, 31.97it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 204/470 [00:06<00:08, 31.99it/s]

→ 2000R Phase 3: finalize:  44%|████▍     | 208/470 [00:06<00:08, 32.06it/s]

→ 2000R Phase 3: finalize:  45%|████▌     | 212/470 [00:06<00:08, 32.03it/s]

→ 2000R Phase 3: finalize:  46%|████▌     | 216/470 [00:06<00:07, 32.04it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 220/470 [00:06<00:07, 31.98it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 224/470 [00:06<00:07, 32.02it/s]

→ 2000R Phase 3: finalize:  49%|████▊     | 228/470 [00:06<00:07, 32.07it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 232/470 [00:07<00:07, 32.20it/s]

→ 2000R Phase 3: finalize:  50%|█████     | 236/470 [00:07<00:07, 32.26it/s]

→ 2000R Phase 3: finalize:  51%|█████     | 240/470 [00:07<00:07, 32.28it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 244/470 [00:07<00:07, 32.19it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 248/470 [00:07<00:06, 32.01it/s]

→ 2000R Phase 3: finalize:  54%|█████▎    | 252/470 [00:07<00:06, 32.02it/s]

→ 2000R Phase 3: finalize:  54%|█████▍    | 256/470 [00:07<00:06, 32.02it/s]

→ 2000R Phase 3: finalize:  55%|█████▌    | 260/470 [00:07<00:06, 32.06it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 264/470 [00:08<00:06, 32.12it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 268/470 [00:08<00:06, 32.38it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 272/470 [00:08<00:06, 32.46it/s]

→ 2000R Phase 3: finalize:  59%|█████▊    | 276/470 [00:08<00:05, 32.55it/s]

→ 2000R Phase 3: finalize:  60%|█████▉    | 280/470 [00:08<00:05, 32.52it/s]

→ 2000R Phase 3: finalize:  60%|██████    | 284/470 [00:08<00:05, 32.46it/s]

→ 2000R Phase 3: finalize:  61%|██████▏   | 288/470 [00:08<00:05, 32.41it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 292/470 [00:08<00:05, 32.37it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 296/470 [00:09<00:05, 32.32it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 300/470 [00:09<00:05, 32.21it/s]

→ 2000R Phase 3: finalize:  65%|██████▍   | 304/470 [00:09<00:05, 32.13it/s]

→ 2000R Phase 3: finalize:  66%|██████▌   | 308/470 [00:09<00:05, 31.94it/s]

→ 2000R Phase 3: finalize:  66%|██████▋   | 312/470 [00:09<00:04, 31.77it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 316/470 [00:09<00:04, 31.65it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 320/470 [00:09<00:04, 31.51it/s]

→ 2000R Phase 3: finalize:  69%|██████▉   | 324/470 [00:09<00:04, 31.27it/s]

→ 2000R Phase 3: finalize:  70%|██████▉   | 328/470 [00:10<00:04, 31.12it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 332/470 [00:10<00:04, 31.07it/s]

→ 2000R Phase 3: finalize:  71%|███████▏  | 336/470 [00:10<00:04, 30.99it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 340/470 [00:10<00:04, 30.86it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 344/470 [00:10<00:04, 30.66it/s]

→ 2000R Phase 3: finalize:  74%|███████▍  | 348/470 [00:10<00:03, 30.54it/s]

→ 2000R Phase 3: finalize:  75%|███████▍  | 352/470 [00:10<00:03, 30.56it/s]

→ 2000R Phase 3: finalize:  76%|███████▌  | 356/470 [00:11<00:03, 30.58it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 360/470 [00:11<00:03, 30.62it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 364/470 [00:11<00:03, 30.59it/s]

→ 2000R Phase 3: finalize:  78%|███████▊  | 368/470 [00:11<00:03, 30.57it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 372/470 [00:11<00:03, 30.51it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 376/470 [00:11<00:03, 30.51it/s]

→ 2000R Phase 3: finalize:  81%|████████  | 380/470 [00:11<00:02, 30.47it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 384/470 [00:11<00:02, 30.42it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 388/470 [00:12<00:02, 30.37it/s]

→ 2000R Phase 3: finalize:  83%|████████▎ | 392/470 [00:12<00:02, 30.36it/s]

→ 2000R Phase 3: finalize:  84%|████████▍ | 396/470 [00:12<00:02, 30.33it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 400/470 [00:12<00:02, 30.30it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 404/470 [00:12<00:02, 30.28it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 408/470 [00:12<00:02, 30.30it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 412/470 [00:12<00:01, 30.29it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 416/470 [00:12<00:01, 30.29it/s]

→ 2000R Phase 3: finalize:  89%|████████▉ | 420/470 [00:13<00:01, 30.28it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 424/470 [00:13<00:01, 30.32it/s]

→ 2000R Phase 3: finalize:  91%|█████████ | 428/470 [00:13<00:01, 30.29it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 432/470 [00:13<00:01, 30.20it/s]

→ 2000R Phase 3: finalize:  93%|█████████▎| 436/470 [00:13<00:01, 30.13it/s]

→ 2000R Phase 3: finalize:  94%|█████████▎| 440/470 [00:13<00:00, 30.09it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 444/470 [00:13<00:00, 29.94it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 447/470 [00:14<00:00, 29.89it/s]

→ 2000R Phase 3: finalize:  96%|█████████▌| 450/470 [00:14<00:00, 29.80it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 453/470 [00:14<00:00, 29.84it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 457/470 [00:14<00:00, 29.98it/s]

→ 2000R Phase 3: finalize:  98%|█████████▊| 461/470 [00:14<00:00, 30.04it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 465/470 [00:14<00:00, 30.20it/s]

→ 2000R Phase 3: finalize: 100%|█████████▉| 469/470 [00:14<00:00, 30.42it/s]

                                                                            
[TIMING] 2000R — 471 frames
  Phase 1  radial detect   (parallel)  :  11.30s  (24.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   6.56s  (13.9 ms/frame)
  Phase 2b corner fix      (sequential):   0.89s
  Phase 3  finalize        (sequential):  14.78s  (31.4 ms/frame)
    decode + undistort                 :   6.41s  (13.6 ms/frame)
    corner apply + refinement          :   3.68s  (7.8 ms/frame)
    segment                            :   3.93s  (8.3 ms/frame)
    smooth                             :   0.43s  (0.9 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  33.53s


Processing Rigs: 100%|██████████| 4/4 [01:49<00:00, 29.18s/it]
Processing Rigs: 100%|██████████| 4/4 [01:49<00:00, 27.26s/it]
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1635 frames from 4 rigs to /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 460
[📋] 1500: 100 frames selected from 422
[📋] 1000: 100 frames selected from 283
[📋] 2000R: 100 frames selected from 470
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDCP3D-SL-009_W043(6)_2026-10-15/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 [00:06<07:55,  6.01s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:07<04:03,  3.12s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:07<02:22,  1.86s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:07<01:29,  1.18s/it]
Computing max image from bright frames:   6%|▋         | 5/80 [00:07<01:00,  1.25it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:07<00:43,  1.69it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:08<00:32,  2.23it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:08<00:26,  2.70it/s]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:08<00:22,  3.11it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:08<00:20,  3.50it/s]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:08<00:16,  4.10it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:09<00:15,  4.34it/s]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:09<00:15,  4.26it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:09<00:14,  4.48it/s]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:09<00:13,  4.81it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:09<00:11,  5.48it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:09<00:10,  5.96it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:10<00:10,  6.06it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:10<00:10,  5.92it/s]
Computing max image from bright frames:  25%|██▌       | 20/80 [00:10<00:10,  5.89it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:10<00:10,  5.56it/s]
Computing max image from bright frames:  28%|██▊       | 22/80 [00:10<00:10,  5.70it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:10<00:10,  5.49it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:11<00:11,  5.08it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:11<00:09,  5.50it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:11<00:09,  5.47it/s]
Computing max image from bright frames:  34%|███▍      | 27/80 [00:11<00:09,  5.36it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:11<00:10,  5.06it/s]
Computing max image from bright frames:  36%|███▋      | 29/80 [00:12<00:09,  5.13it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:12<00:09,  5.14it/s]
Computing max image from bright frames:  39%|███▉      | 31/80 [00:12<00:09,  5.27it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:12<00:09,  5.23it/s]
Computing max image from bright frames:  41%|████▏     | 33/80 [00:14<00:24,  1.92it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:14<00:30,  1.52it/s]
Computing max image from bright frames:  44%|████▍     | 35/80 [00:15<00:22,  1.96it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:15<00:17,  2.45it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:15<00:11,  3.58it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:15<00:09,  4.22it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:15<00:08,  4.81it/s]
Computing max image from bright frames:  52%|█████▎    | 42/80 [00:16<00:06,  5.95it/s]
Computing max image from bright frames:  55%|█████▌    | 44/80 [00:16<00:05,  6.87it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:16<00:07,  4.58it/s]
Computing max image from bright frames:  57%|█████▊    | 46/80 [00:16<00:07,  4.59it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:17<00:07,  4.33it/s]
Computing max image from bright frames:  61%|██████▏   | 49/80 [00:17<00:06,  4.84it/s]
Computing max image from bright frames:  62%|██████▎   | 50/80 [00:17<00:05,  5.45it/s]
Computing max image from bright frames:  65%|██████▌   | 52/80 [00:17<00:03,  7.43it/s]
Computing max image from bright frames:  68%|██████▊   | 54/80 [00:18<00:04,  5.50it/s]
Computing max image from bright frames:  71%|███████▏  | 57/80 [00:18<00:03,  7.53it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:19<00:04,  4.47it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:19<00:03,  5.29it/s]
Computing max image from bright frames:  78%|███████▊  | 62/80 [00:19<00:03,  5.87it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:20<00:03,  3.80it/s]
Computing max image from bright frames:  82%|████████▎ | 66/80 [00:21<00:03,  3.76it/s]
Computing max image from bright frames:  84%|████████▍ | 67/80 [00:21<00:03,  3.74it/s]
Computing max image from bright frames:  86%|████████▋ | 69/80 [00:21<00:02,  5.03it/s]
Computing max image from bright frames:  89%|████████▉ | 71/80 [00:21<00:01,  5.88it/s]
Computing max image from bright frames:  90%|█████████ | 72/80 [00:21<00:01,  6.08it/s]
Computing max image from bright frames:  92%|█████████▎| 74/80 [00:22<00:00,  7.34it/s]
Computing max image from bright frames:  95%|█████████▌| 76/80 [00:22<00:00,  7.22it/s]
Computing max image from bright frames:  98%|█████████▊| 78/80 [00:22<00:00,  8.14it/s]
Computing max image from bright frames:  99%|█████████▉| 79/80 [00:23<00:00,  5.77it/s]
                                                                                       
[✅] Casing detection complete: cx=897.0, cy=932.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:54,  1.83it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 307.071} (0.000):   1%|          | 1/100 [00:00<00:54,  1.83it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:53,  1.83it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   3%|▎         | 3/100 [00:00<00:18,  5.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:18,  5.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:18,  5.12it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:12,  7.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:12,  7.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:12,  7.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   7%|▋         | 7/100 [00:00<00:09,  9.50it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:01<00:09,  9.50it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:01<00:09,  9.50it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   9%|▉         | 9/100 [00:01<00:07, 11.79it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:01<00:07, 11.79it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:01<00:07, 11.79it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  11%|█         | 11/100 [00:01<00:08, 10.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:01<00:08, 10.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:01<00:08, 10.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:01<00:08, 10.72it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  14%|█▍        | 14/100 [00:01<00:05, 14.45it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:01<00:05, 14.45it/s] 
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  15%|█▌        | 15/100 [00:01<00:05, 14.45it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  16%|█▌        | 16/100 [00:01<00:06, 12.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:01<00:06, 12.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  17%|█▋        | 17/100 [00:01<00:06, 12.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.005 | Best: {'fx': 420.202} (0.005):  18%|█▊        | 18/100 [00:01<00:05, 13.69it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:01<00:05, 13.69it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:05, 13.69it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:01<00:05, 13.69it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  21%|██        | 21/100 [00:01<00:05, 14.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:01<00:05, 14.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:02<00:05, 14.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  23%|██▎       | 23/100 [00:02<00:05, 15.36it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:02<00:05, 15.36it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  24%|██▍       | 24/100 [00:02<00:04, 15.36it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.016 | Best: {'fx': 469.697} (0.016):  25%|██▌       | 25/100 [00:02<00:04, 15.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  25%|██▌       | 25/100 [00:02<00:04, 15.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 483.838} (0.027):  26%|██▌       | 26/100 [00:02<00:04, 15.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 490.909} (0.033):  27%|██▋       | 27/100 [00:02<00:04, 15.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 490.909} (0.033):  28%|██▊       | 28/100 [00:02<00:04, 17.04it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.046 | Best: {'fx': 505.051} (0.046):  28%|██▊       | 28/100 [00:02<00:04, 17.04it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.039 | Best: {'fx': 505.051} (0.046):  29%|██▉       | 29/100 [00:02<00:04, 17.04it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.039 | Best: {'fx': 505.051} (0.046):  30%|███       | 30/100 [00:02<00:04, 16.45it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.057 | Best: {'fx': 512.121} (0.057):  30%|███       | 30/100 [00:02<00:04, 16.45it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.071 | Best: {'fx': 519.192} (0.071):  31%|███       | 31/100 [00:02<00:04, 16.45it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.071 | Best: {'fx': 519.192} (0.071):  32%|███▏      | 32/100 [00:02<00:07,  9.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.096 | Best: {'fx': 533.333} (0.096):  32%|███▏      | 32/100 [00:02<00:07,  9.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.086 | Best: {'fx': 533.333} (0.096):  33%|███▎      | 33/100 [00:02<00:06,  9.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.086 | Best: {'fx': 533.333} (0.096):  34%|███▍      | 34/100 [00:02<00:06, 10.91it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.067 | Best: {'fx': 533.333} (0.096):  34%|███▍      | 34/100 [00:03<00:06, 10.91it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.079 | Best: {'fx': 533.333} (0.096):  35%|███▌      | 35/100 [00:03<00:05, 10.91it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.079 | Best: {'fx': 533.333} (0.096):  36%|███▌      | 36/100 [00:03<00:05, 10.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.056 | Best: {'fx': 533.333} (0.096):  36%|███▌      | 36/100 [00:03<00:05, 10.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.050 | Best: {'fx': 533.333} (0.096):  37%|███▋      | 37/100 [00:03<00:05, 10.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.041 | Best: {'fx': 533.333} (0.096):  38%|███▊      | 38/100 [00:03<00:05, 10.74it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.041 | Best: {'fx': 533.333} (0.096):  39%|███▉      | 39/100 [00:03<00:04, 13.43it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.045 | Best: {'fx': 533.333} (0.096):  39%|███▉      | 39/100 [00:03<00:04, 13.43it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.036 | Best: {'fx': 533.333} (0.096):  40%|████      | 40/100 [00:03<00:04, 13.43it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.039 | Best: {'fx': 533.333} (0.096):  41%|████      | 41/100 [00:03<00:04, 13.43it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.039 | Best: {'fx': 533.333} (0.096):  42%|████▏     | 42/100 [00:03<00:03, 15.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.034 | Best: {'fx': 533.333} (0.096):  42%|████▏     | 42/100 [00:03<00:03, 15.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 533.333} (0.096):  43%|████▎     | 43/100 [00:03<00:03, 15.63it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.033 | Best: {'fx': 533.333} (0.096):  44%|████▍     | 44/100 [00:03<00:03, 14.28it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.031 | Best: {'fx': 533.333} (0.096):  44%|████▍     | 44/100 [00:03<00:03, 14.28it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.030 | Best: {'fx': 533.333} (0.096):  45%|████▌     | 45/100 [00:03<00:03, 14.28it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.030 | Best: {'fx': 533.333} (0.096):  46%|████▌     | 46/100 [00:03<00:04, 13.23it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.029 | Best: {'fx': 533.333} (0.096):  46%|████▌     | 46/100 [00:03<00:04, 13.23it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.096):  47%|████▋     | 47/100 [00:03<00:04, 13.23it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.096):  48%|████▊     | 48/100 [00:03<00:03, 13.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.028 | Best: {'fx': 533.333} (0.096):  48%|████▊     | 48/100 [00:03<00:03, 13.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.096):  49%|████▉     | 49/100 [00:04<00:03, 13.85it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.027 | Best: {'fx': 533.333} (0.096):  50%|█████     | 50/100 [00:04<00:03, 14.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.096):  50%|█████     | 50/100 [00:04<00:03, 14.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.026 | Best: {'fx': 533.333} (0.096):  51%|█████     | 51/100 [00:04<00:03, 14.38it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.026 | Best: {'fx': 533.333} (0.096):  52%|█████▏    | 52/100 [00:04<00:03, 13.34it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.026 | Best: {'fx': 533.333} (0.096):  52%|█████▏    | 52/100 [00:04<00:03, 13.34it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.025 | Best: {'fx': 533.333} (0.096):  53%|█████▎    | 53/100 [00:04<00:03, 13.34it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.096):  54%|█████▍    | 54/100 [00:04<00:03, 13.34it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.024 | Best: {'fx': 533.333} (0.096):  55%|█████▌    | 55/100 [00:04<00:02, 15.09it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.096):  55%|█████▌    | 55/100 [00:04<00:02, 15.09it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  56%|█████▌    | 56/100 [00:04<00:02, 15.09it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  57%|█████▋    | 57/100 [00:04<00:03, 14.18it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  57%|█████▋    | 57/100 [00:04<00:03, 14.18it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  58%|█████▊    | 58/100 [00:04<00:02, 14.18it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  59%|█████▉    | 59/100 [00:04<00:02, 14.18it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.023 | Best: {'fx': 533.333} (0.096):  60%|██████    | 60/100 [00:04<00:02, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.096):  60%|██████    | 60/100 [00:04<00:02, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.096):  61%|██████    | 61/100 [00:04<00:02, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.096):  62%|██████▏   | 62/100 [00:04<00:02, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.096):  63%|██████▎   | 63/100 [00:04<00:02, 16.02it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.096):  64%|██████▍   | 64/100 [00:04<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.096):  64%|██████▍   | 64/100 [00:04<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.096):  65%|██████▌   | 65/100 [00:04<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.022 | Best: {'fx': 533.333} (0.096):  66%|██████▌   | 66/100 [00:04<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.021 | Best: {'fx': 533.333} (0.096):  67%|██████▋   | 67/100 [00:04<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  68%|██████▊   | 68/100 [00:05<00:01, 19.06it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  69%|██████▉   | 69/100 [00:05<00:01, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  69%|██████▉   | 69/100 [00:05<00:01, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  70%|███████   | 70/100 [00:05<00:01, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  71%|███████   | 71/100 [00:05<00:01, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  72%|███████▏  | 72/100 [00:05<00:01, 20.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  73%|███████▎  | 73/100 [00:05<00:01, 22.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  73%|███████▎  | 73/100 [00:05<00:01, 22.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  74%|███████▍  | 74/100 [00:05<00:01, 22.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  75%|███████▌  | 75/100 [00:05<00:01, 22.89it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  76%|███████▌  | 76/100 [00:05<00:01, 20.48it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.020 | Best: {'fx': 533.333} (0.096):  76%|███████▌  | 76/100 [00:05<00:01, 20.48it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  77%|███████▋  | 77/100 [00:05<00:01, 20.48it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  78%|███████▊  | 78/100 [00:05<00:01, 20.48it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  79%|███████▉  | 79/100 [00:05<00:01, 19.17it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  79%|███████▉  | 79/100 [00:05<00:01, 19.17it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  80%|████████  | 80/100 [00:05<00:01, 19.17it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  81%|████████  | 81/100 [00:05<00:00, 19.17it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  82%|████████▏ | 82/100 [00:05<00:01, 17.39it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  82%|████████▏ | 82/100 [00:05<00:01, 17.39it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  83%|████████▎ | 83/100 [00:06<00:00, 17.39it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  84%|████████▍ | 84/100 [00:06<00:01, 14.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  84%|████████▍ | 84/100 [00:06<00:01, 14.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  85%|████████▌ | 85/100 [00:06<00:01, 14.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  86%|████████▌ | 86/100 [00:06<00:00, 14.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  87%|████████▋ | 87/100 [00:06<00:00, 14.84it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  88%|████████▊ | 88/100 [00:06<00:00, 18.29it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  88%|████████▊ | 88/100 [00:06<00:00, 18.29it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  89%|████████▉ | 89/100 [00:06<00:00, 18.29it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  90%|█████████ | 90/100 [00:06<00:00, 18.29it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.019 | Best: {'fx': 533.333} (0.096):  91%|█████████ | 91/100 [00:06<00:00, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  91%|█████████ | 91/100 [00:06<00:00, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  92%|█████████▏| 92/100 [00:06<00:00, 18.47it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  93%|█████████▎| 93/100 [00:06<00:00, 14.88it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  93%|█████████▎| 93/100 [00:06<00:00, 14.88it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  94%|█████████▍| 94/100 [00:06<00:00, 14.88it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  95%|█████████▌| 95/100 [00:06<00:00, 14.88it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  96%|█████████▌| 96/100 [00:06<00:00, 15.80it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  96%|█████████▌| 96/100 [00:06<00:00, 15.80it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  97%|█████████▋| 97/100 [00:06<00:00, 15.80it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  98%|█████████▊| 98/100 [00:06<00:00, 15.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  98%|█████████▊| 98/100 [00:06<00:00, 15.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096):  99%|█████████▉| 99/100 [00:07<00:00, 15.40it/s]
Brute | Start: {'fx': 500.0} (0.040) | Current: 0.018 | Best: {'fx': 533.333} (0.096): 100%|██████████| 100/100 [00:07<00:00, 13.85it/s]
                                                                                                                                        

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.050 | Best: {'fx': 508.333} (0.050):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.050 | Best: {'fx': 508.333} (0.050):   2%|▏         | 1/50 [00:00<00:41,  1.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.052 | Best: {'fx': 509.354} (0.052):   2%|▏         | 1/50 [00:00<00:41,  1.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.054 | Best: {'fx': 510.374} (0.054):   4%|▍         | 2/50 [00:01<00:40,  1.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.054 | Best: {'fx': 510.374} (0.054):   6%|▌         | 3/50 [00:01<00:12,  3.62it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.055 | Best: {'fx': 511.395} (0.055):   6%|▌         | 3/50 [00:01<00:12,  3.62it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.058 | Best: {'fx': 513.435} (0.058):   8%|▊         | 4/50 [00:01<00:12,  3.62it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.058 | Best: {'fx': 513.435} (0.058):  10%|█         | 5/50 [00:01<00:07,  5.89it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.057 | Best: {'fx': 513.435} (0.058):  10%|█         | 5/50 [00:01<00:07,  5.89it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.060 | Best: {'fx': 514.456} (0.060):  12%|█▏        | 6/50 [00:01<00:07,  5.89it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.060 | Best: {'fx': 514.456} (0.060):  14%|█▍        | 7/50 [00:01<00:06,  6.59it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.064 | Best: {'fx': 516.497} (0.064):  14%|█▍        | 7/50 [00:01<00:06,  6.59it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.062 | Best: {'fx': 516.497} (0.064):  16%|█▌        | 8/50 [00:01<00:06,  6.59it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.067 | Best: {'fx': 517.517} (0.067):  18%|█▊        | 9/50 [00:01<00:06,  6.59it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.067 | Best: {'fx': 517.517} (0.067):  20%|██        | 10/50 [00:01<00:04,  8.92it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.069 | Best: {'fx': 518.537} (0.069):  20%|██        | 10/50 [00:01<00:04,  8.92it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.074 | Best: {'fx': 520.578} (0.074):  22%|██▏       | 11/50 [00:01<00:04,  8.92it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.074 | Best: {'fx': 520.578} (0.074):  24%|██▍       | 12/50 [00:01<00:04,  9.47it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.072 | Best: {'fx': 520.578} (0.074):  24%|██▍       | 12/50 [00:01<00:04,  9.47it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.075 | Best: {'fx': 521.599} (0.075):  26%|██▌       | 13/50 [00:01<00:03,  9.47it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.080 | Best: {'fx': 523.639} (0.080):  28%|██▊       | 14/50 [00:01<00:03,  9.47it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.080 | Best: {'fx': 523.639} (0.080):  30%|███       | 15/50 [00:01<00:03, 11.43it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.077 | Best: {'fx': 523.639} (0.080):  30%|███       | 15/50 [00:02<00:03, 11.43it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.084 | Best: {'fx': 525.68} (0.084):  32%|███▏      | 16/50 [00:02<00:02, 11.43it/s] 
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.084 | Best: {'fx': 525.68} (0.084):  34%|███▍      | 17/50 [00:02<00:02, 12.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.082 | Best: {'fx': 525.68} (0.084):  34%|███▍      | 17/50 [00:02<00:02, 12.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.087 | Best: {'fx': 526.701} (0.087):  36%|███▌      | 18/50 [00:02<00:02, 12.17it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.087 | Best: {'fx': 526.701} (0.087):  38%|███▊      | 19/50 [00:02<00:02, 10.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.092 | Best: {'fx': 528.741} (0.092):  38%|███▊      | 19/50 [00:02<00:02, 10.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.090 | Best: {'fx': 528.741} (0.092):  40%|████      | 20/50 [00:02<00:02, 10.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.093 | Best: {'fx': 529.762} (0.093):  42%|████▏     | 21/50 [00:02<00:02, 10.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.093 | Best: {'fx': 529.762} (0.093):  44%|████▍     | 22/50 [00:02<00:02, 13.11it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.096 | Best: {'fx': 530.782} (0.096):  44%|████▍     | 22/50 [00:02<00:02, 13.11it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.094 | Best: {'fx': 530.782} (0.096):  46%|████▌     | 23/50 [00:02<00:02, 13.11it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.094 | Best: {'fx': 530.782} (0.096):  48%|████▊     | 24/50 [00:02<00:02, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.096 | Best: {'fx': 530.782} (0.096):  48%|████▊     | 24/50 [00:02<00:02, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.094 | Best: {'fx': 530.782} (0.096):  50%|█████     | 25/50 [00:02<00:02, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.093 | Best: {'fx': 530.782} (0.096):  52%|█████▏    | 26/50 [00:02<00:02, 11.52it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.093 | Best: {'fx': 530.782} (0.096):  54%|█████▍    | 27/50 [00:02<00:01, 12.74it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.080 | Best: {'fx': 530.782} (0.096):  54%|█████▍    | 27/50 [00:02<00:01, 12.74it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.090 | Best: {'fx': 530.782} (0.096):  56%|█████▌    | 28/50 [00:02<00:01, 12.74it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.078 | Best: {'fx': 530.782} (0.096):  58%|█████▊    | 29/50 [00:02<00:01, 12.74it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.089 | Best: {'fx': 530.782} (0.096):  60%|██████    | 30/50 [00:03<00:01, 12.74it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.089 | Best: {'fx': 530.782} (0.096):  62%|██████▏   | 31/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.085 | Best: {'fx': 530.782} (0.096):  62%|██████▏   | 31/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.072 | Best: {'fx': 530.782} (0.096):  64%|██████▍   | 32/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.075 | Best: {'fx': 530.782} (0.096):  66%|██████▌   | 33/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.082 | Best: {'fx': 530.782} (0.096):  68%|██████▊   | 34/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.069 | Best: {'fx': 530.782} (0.096):  70%|███████   | 35/50 [00:03<00:01, 14.68it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.069 | Best: {'fx': 530.782} (0.096):  72%|███████▏  | 36/50 [00:03<00:00, 20.15it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.073 | Best: {'fx': 530.782} (0.096):  72%|███████▏  | 36/50 [00:03<00:00, 20.15it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.070 | Best: {'fx': 530.782} (0.096):  74%|███████▍  | 37/50 [00:03<00:00, 20.15it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.067 | Best: {'fx': 530.782} (0.096):  76%|███████▌  | 38/50 [00:03<00:00, 20.15it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.067 | Best: {'fx': 530.782} (0.096):  78%|███████▊  | 39/50 [00:03<00:00, 20.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.065 | Best: {'fx': 530.782} (0.096):  78%|███████▊  | 39/50 [00:03<00:00, 20.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.064 | Best: {'fx': 530.782} (0.096):  80%|████████  | 40/50 [00:03<00:00, 20.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.062 | Best: {'fx': 530.782} (0.096):  82%|████████▏ | 41/50 [00:03<00:00, 20.56it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.062 | Best: {'fx': 530.782} (0.096):  84%|████████▍ | 42/50 [00:03<00:00, 22.21it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.060 | Best: {'fx': 530.782} (0.096):  84%|████████▍ | 42/50 [00:03<00:00, 22.21it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.058 | Best: {'fx': 530.782} (0.096):  86%|████████▌ | 43/50 [00:03<00:00, 22.21it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.055 | Best: {'fx': 530.782} (0.096):  88%|████████▊ | 44/50 [00:03<00:00, 22.21it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.055 | Best: {'fx': 530.782} (0.096):  90%|█████████ | 45/50 [00:03<00:00, 19.23it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.057 | Best: {'fx': 530.782} (0.096):  90%|█████████ | 45/50 [00:03<00:00, 19.23it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.058 | Best: {'fx': 530.782} (0.096):  92%|█████████▏| 46/50 [00:03<00:00, 19.23it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.054 | Best: {'fx': 530.782} (0.096):  94%|█████████▍| 47/50 [00:03<00:00, 19.23it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.053 | Best: {'fx': 530.782} (0.096):  96%|█████████▌| 48/50 [00:03<00:00, 19.23it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.053 | Best: {'fx': 530.782} (0.096):  98%|█████████▊| 49/50 [00:03<00:00, 21.75it/s]
Brute | Start: {'fx': 533.333} (0.096) | Current: 0.054 | Best: {'fx': 530.782} (0.096):  98%|█████████▊| 49/50 [00:03<00:00, 21.75it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 533.3333333333334
    px: 897.0
    py: 932.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 25.7406: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 25.7406, picklable_objective(x0) = 25.7386

Best score: 25.7386: : 0iter [00:02, ?iter/s] 
Best score: 25.7386: : 1iter [00:02,  2.73s/iter]
Best score: 25.7386: : 1iter [00:02,  2.73s/iter]
Best score: 25.7386: : 2iter [00:02,  1.21s/iter]
Best score: 25.7386: : 2iter [00:03,  1.21s/iter]
Best score: 25.7386: : 3iter [00:03,  1.40iter/s]
Best score: 25.7386: : 3iter [00:03,  1.40iter/s]
Best score: 25.7386: : 4iter [00:03,  2.04iter/s]
Best score: 25.7386: : 4iter [00:03,  2.04iter/s]
Best score: 25.7386: : 5iter [00:03,  2.73iter/s]
Best score: 25.7386: : 5iter [00:03,  2.73iter/s]
Best score: 25.7386: : 6iter [00:03,  3.42iter/s]
Best score: 25.7386: : 6iter [00:03,  3.42iter/s]
Best score: 25.7386: : 7iter [00:03,  4.09iter/s]
Best score: 25.7386: : 7iter [00:03,  4.09iter/s]
Best score: 25.7386: : 8iter [00:03,  4.70iter/s]
Best score: 25.7386: : 8iter [00:03,  4.70iter/s]
Best score: 25.7386: : 9iter [00:03,  5.17iter/s]
Best score: 25.7386: : 9iter [00:04,  5.17iter/s]
Best score: 25.7386: : 10iter [00:04,  5.60iter/s]
Best score: 25.7386: : 10iter [00:04,  5.60iter/s]
Best score: 25.7386: : 11iter [00:04,  5.91iter/s]
Best score: 25.7386: : 11iter [00:04,  5.91iter/s]
Best score: 25.7386: : 12iter [00:04,  6.17iter/s]
Best score: 25.7386: : 12iter [00:04,  6.17iter/s]
Best score: 25.7386: : 13iter [00:04,  6.40iter/s]
Best score: 25.7386: : 13iter [00:04,  6.40iter/s]
Best score: 25.7386: : 14iter [00:04,  6.62iter/s]
Best score: 25.7386: : 14iter [00:04,  6.62iter/s]
Best score: 25.7386: : 15iter [00:04,  6.77iter/s]
Best score: 25.7386: : 15iter [00:04,  6.77iter/s]
Best score: 25.7386: : 16iter [00:04,  7.00iter/s]
Best score: 25.7386: : 16iter [00:05,  7.00iter/s]
Best score: 25.7386: : 17iter [00:05,  7.07iter/s]
Best score: 25.7386: : 17iter [00:05,  7.07iter/s]
Best score: 25.7386: : 18iter [00:05,  7.09iter/s]
Best score: 25.7386: : 18iter [00:05,  7.09iter/s]
Best score: 25.7386: : 19iter [00:05,  7.26iter/s]
Best score: 25.7386: : 19iter [00:05,  7.26iter/s]
Best score: 25.7386: : 20iter [00:05,  7.08iter/s]
Best score: 25.7386: : 20iter [00:05,  7.08iter/s]
Best score: 25.7386: : 21iter [00:05,  7.20iter/s]
Best score: 25.7386: : 21iter [00:05,  7.20iter/s]
Best score: 25.7386: : 22iter [00:05,  7.34iter/s]
Best score: 25.7386: : 22iter [00:05,  7.34iter/s]
Best score: 25.7386: : 23iter [00:05,  7.37iter/s]
Best score: 25.7386: : 23iter [00:05,  7.37iter/s]
Best score: 25.7386: : 24iter [00:05,  7.25iter/s]
Best score: 25.7386: : 24iter [00:06,  7.25iter/s]
Best score: 25.7386: : 25iter [00:06,  7.31iter/s]
Best score: 25.7386: : 25iter [00:06,  7.31iter/s]
Best score: 25.7386: : 26iter [00:06,  7.32iter/s]
Best score: 25.7386: : 26iter [00:06,  7.32iter/s]
Best score: 25.7386: : 27iter [00:06,  7.29iter/s]
Best score: 25.7386: : 27iter [00:06,  7.29iter/s]
Best score: 25.7386: : 28iter [00:06,  7.23iter/s]
Best score: 25.7386: : 28iter [00:06,  7.23iter/s]
Best score: 25.7386: : 29iter [00:06,  7.28iter/s]
Best score: 25.7386: : 29iter [00:06,  7.28iter/s]
Best score: 25.7386: : 30iter [00:06,  7.21iter/s]
Best score: 25.7386: : 30iter [00:06,  7.21iter/s]
Best score: 25.7386: : 31iter [00:06,  7.31iter/s]
Best score: 25.7386: : 31iter [00:07,  7.31iter/s]
Best score: 25.7386: : 32iter [00:07,  7.35iter/s]
Best score: 25.7386: : 32iter [00:07,  7.35iter/s]
Best score: 25.7386: : 33iter [00:07,  7.28iter/s]
Best score: 25.7386: : 33iter [00:07,  7.28iter/s]
Best score: 25.7386: : 34iter [00:07,  7.27iter/s]
Best score: 25.7386: : 34iter [00:07,  7.27iter/s]
Best score: 25.7386: : 35iter [00:07,  7.27iter/s]
Best score: 25.7386: : 35iter [00:07,  7.27iter/s]
Best score: 25.7386: : 36iter [00:07,  7.32iter/s]
Best score: 25.7386: : 36iter [00:07,  7.32iter/s]
Best score: 25.7386: : 37iter [00:07,  7.28iter/s]
Best score: 25.7386: : 37iter [00:07,  7.28iter/s]
Best score: 25.7386: : 38iter [00:07,  7.38iter/s]
Best score: 25.7386: : 38iter [00:08,  7.38iter/s]
Best score: 25.7386: : 39iter [00:08,  7.28iter/s]
Best score: 25.7386: : 39iter [00:08,  7.28iter/s]
Best score: 25.7386: : 40iter [00:08,  7.00iter/s]
Best score: 25.7386: : 40iter [00:08,  7.00iter/s]
Best score: 25.7386: : 41iter [00:08,  6.97iter/s]
Best score: 25.7386: : 41iter [00:08,  6.97iter/s]
Best score: 25.7386: : 42iter [00:08,  7.11iter/s]
Best score: 25.7386: : 42iter [00:08,  7.11iter/s]
Best score: 25.7386: : 43iter [00:08,  7.19iter/s]
Best score: 25.7386: : 43iter [00:08,  7.19iter/s]
Best score: 25.7386: : 44iter [00:08,  7.10iter/s]
Best score: 25.7386: : 44iter [00:08,  7.10iter/s]
Best score: 25.7386: : 45iter [00:08,  7.11iter/s]
Best score: 25.7386: : 45iter [00:09,  7.11iter/s]
Best score: 25.7386: : 46iter [00:09,  7.18iter/s]
Best score: 25.7386: : 46iter [00:09,  7.18iter/s]
Best score: 25.7386: : 47iter [00:09,  7.19iter/s]
Best score: 25.7386: : 47iter [00:09,  7.19iter/s]
Best score: 25.7386: : 48iter [00:09,  7.25iter/s]
Best score: 25.7386: : 48iter [00:09,  7.25iter/s]
Best score: 25.7386: : 49iter [00:09,  7.31iter/s]
Best score: 25.7386: : 49iter [00:09,  7.31iter/s]
Best score: 25.7386: : 50iter [00:09,  7.14iter/s]
[ITER 50] Best: 25.7386
[PARAMS] Current best parameters:
  fx: 533.3333
  fy: 533.3333
  px: 897.0000
  py: 932.0000
  k1: 0.00000000
  k2: -0.00000000
  k3: 0.00000000
  k4: 0.00000000
  p1: 0.00000000
  p2: 0.00000000
  p3: 0.00000000
  p4: 0.00000000
  s1: 0.0000
  s2: 0.0000
  s3: 0.0000
  s4: 0.0000
  tilt_x: 0.0000
  tilt_y: 0.0000
  scale: 3.0000
  rotation: 0.0000

Best score: 25.7386: : 50iter [00:09,  7.14iter/s]
Best score: 25.7386: : 51iter [00:09,  7.29iter/s]
Best score: 25.7386: : 51iter [00:09,  7.29iter/s]
Best score: 25.7386: : 52iter [00:09,  7.31iter/s]
Best score: 25.7386: : 52iter [00:09,  7.31iter/s]
Best score: 25.7386: : 53iter [00:09,  7.42iter/s]
Best score: 25.7386: : 53iter [00:10,  7.42iter/s]
Best score: 25.7386: : 54iter [00:10,  7.40iter/s]
Best score: 25.7386: : 54iter [00:10,  7.40iter/s]
Best score: 25.7386: : 55iter [00:10,  7.38iter/s]
Best score: 25.7386: : 55iter [00:10,  7.38iter/s]
Best score: 25.7386: : 56iter [00:10,  7.40iter/s]
Best score: 25.7386: : 56iter [00:10,  7.40iter/s]
Best score: 25.7386: : 57iter [00:10,  7.46iter/s]
Best score: 25.7386: : 57iter [00:10,  7.46iter/s]
Best score: 25.7386: : 58iter [00:10,  7.47iter/s]
Best score: 25.7386: : 58iter [00:10,  7.47iter/s]
Best score: 25.7386: : 59iter [00:10,  7.45iter/s]
Best score: 25.7386: : 59iter [00:10,  7.45iter/s]
Best score: 25.7386: : 60iter [00:10,  7.27iter/s]
Best score: 25.7386: : 60iter [00:11,  7.27iter/s]
Best score: 25.7386: : 61iter [00:11,  7.45iter/s]
Best score: 25.7386: : 61iter [00:11,  7.45iter/s]
Best score: 25.7386: : 62iter [00:11,  7.35iter/s]
Best score: 25.7386: : 62iter [00:11,  7.35iter/s]
Best score: 25.7386: : 63iter [00:11,  7.26iter/s]
Best score: 25.7386: : 63iter [00:11,  7.26iter/s]
Best score: 25.7386: : 64iter [00:11,  7.21iter/s]
Best score: 25.7386: : 64iter [00:11,  7.21iter/s]
Best score: 25.7386: : 65iter [00:11,  7.15iter/s]
Best score: 25.7386: : 65iter [00:11,  7.15iter/s]
Best score: 25.7386: : 66iter [00:11,  7.15iter/s]
Best score: 25.7386: : 66iter [00:11,  7.15iter/s]
Best score: 25.7386: : 67iter [00:11,  7.30iter/s]
Best score: 25.7386: : 67iter [00:12,  7.30iter/s]
Best score: 25.7386: : 68iter [00:12,  7.35iter/s]
Best score: 25.7386: : 68iter [00:12,  7.35iter/s]
Best score: 25.7386: : 69iter [00:12,  7.41iter/s]
Best score: 25.7386: : 69iter [00:12,  7.41iter/s]
Best score: 25.7386: : 70iter [00:12,  7.09iter/s]
Best score: 25.7386: : 70iter [00:12,  7.09iter/s]
Best score: 25.7386: : 71iter [00:12,  7.23iter/s]
Best score: 25.7386: : 71iter [00:12,  7.23iter/s]
Best score: 25.7386: : 72iter [00:12,  7.40iter/s]
Best score: 25.7386: : 72iter [00:12,  7.40iter/s]
Best score: 25.7386: : 73iter [00:12,  7.44iter/s]
Best score: 25.7386: : 73iter [00:12,  7.44iter/s]
Best score: 25.7386: : 74iter [00:12,  7.24iter/s]
Best score: 25.7386: : 74iter [00:12,  7.24iter/s]
Best score: 25.7386: : 75iter [00:12,  7.22iter/s]
Best score: 25.7386: : 75iter [00:13,  7.22iter/s]
Best score: 25.7386: : 76iter [00:13,  7.37iter/s]
Best score: 25.7386: : 76iter [00:13,  7.37iter/s]
Best score: 25.7386: : 77iter [00:13,  7.25iter/s]
Best score: 25.7386: : 77iter [00:13,  7.25iter/s]
Best score: 25.7386: : 78iter [00:13,  7.11iter/s]
Best score: 25.7386: : 78iter [00:13,  7.11iter/s]
Best score: 25.7386: : 79iter [00:13,  7.03iter/s]
Best score: 25.7386: : 79iter [00:13,  7.03iter/s]
Best score: 25.7386: : 80iter [00:13,  6.84iter/s]
Best score: 25.7386: : 80iter [00:13,  6.84iter/s]
Best score: 25.7386: : 81iter [00:13,  6.82iter/s]
Best score: 25.7386: : 81iter [00:14,  6.82iter/s]
Best score: 25.7386: : 82iter [00:14,  6.87iter/s]
Best score: 25.7386: : 82iter [00:14,  6.87iter/s]
Best score: 25.7386: : 83iter [00:14,  6.75iter/s]
Best score: 25.7386: : 83iter [00:14,  6.75iter/s]
Best score: 25.7386: : 84iter [00:14,  6.67iter/s]
Best score: 25.7386: : 84iter [00:14,  6.67iter/s]
Best score: 25.7386: : 85iter [00:14,  6.64iter/s]
Best score: 25.7386: : 85iter [00:14,  6.64iter/s]
Best score: 25.7386: : 86iter [00:14,  6.72iter/s]
Best score: 25.7386: : 86iter [00:14,  6.72iter/s]
Best score: 25.7386: : 87iter [00:14,  6.78iter/s]
Best score: 25.7386: : 87iter [00:14,  6.78iter/s]
Best score: 25.7386: : 88iter [00:14,  6.89iter/s]
Best score: 25.7386: : 88iter [00:15,  6.89iter/s]
Best score: 25.7386: : 89iter [00:15,  6.84iter/s]
Best score: 25.7386: : 89iter [00:15,  6.84iter/s]
Best score: 25.7386: : 90iter [00:15,  6.90iter/s]
Best score: 25.7386: : 90iter [00:15,  6.90iter/s]
Best score: 25.7386: : 91iter [00:15,  6.95iter/s]
Best score: 25.7386: : 91iter [00:15,  6.95iter/s]
Best score: 25.7386: : 92iter [00:15,  7.11iter/s]
Best score: 25.7386: : 92iter [00:15,  7.11iter/s]
Best score: 25.7386: : 93iter [00:15,  7.26iter/s]
Best score: 25.7386: : 93iter [00:15,  7.26iter/s]
Best score: 25.7386: : 94iter [00:15,  7.39iter/s]
Best score: 25.7386: : 94iter [00:15,  7.39iter/s]
Best score: 25.7386: : 95iter [00:15,  7.52iter/s]
Best score: 25.7386: : 95iter [00:15,  7.52iter/s]
Best score: 25.7386: : 96iter [00:15,  7.64iter/s]
Best score: 25.7386: : 96iter [00:16,  7.64iter/s]
Best score: 25.7386: : 97iter [00:16,  7.62iter/s]
Best score: 25.7386: : 97iter [00:16,  7.62iter/s]
Best score: 25.7386: : 98iter [00:16,  7.67iter/s]
Best score: 25.7386: : 98iter [00:16,  7.67iter/s]
Best score: 25.7386: : 99iter [00:16,  7.70iter/s]
Best score: 24.5104: : 99iter [00:16,  7.70iter/s]
Best score: 24.5104: : 100iter [00:16,  7.37iter/s]
[ITER 100] Best: 24.5104
[PARAMS] Current best parameters:
  fx: 626.1288
  fy: 631.5193
  px: 883.2455
  py: 945.3495
  k1: -0.17019790
  k2: 0.10255423
  k3: -0.02489826
  k4: -0.00205994
  p1: 0.03159834
  p2: -0.00960322
  p3: -0.00131069
  p4: 0.01308559
  s1: 0.0045
  s2: 0.0063
  s3: 0.0054
  s4: -0.0228
  tilt_x: 0.0009
  tilt_y: 0.0375
  scale: 2.9732
  rotation: -0.8962

Best score: 24.5104: : 100iter [00:16,  7.37iter/s]
Best score: 24.5104: : 101iter [00:16,  5.72iter/s]
Best score: 24.5104: : 101iter [00:16,  5.72iter/s]
Best score: 24.5104: : 102iter [00:16,  6.20iter/s]
Best score: 24.5104: : 102iter [00:17,  6.20iter/s]
Best score: 24.5104: : 103iter [00:17,  6.44iter/s]
Best score: 24.5104: : 103iter [00:17,  6.44iter/s]
Best score: 24.5104: : 104iter [00:17,  6.72iter/s]
Best score: 24.5104: : 104iter [00:17,  6.72iter/s]
Best score: 24.5104: : 105iter [00:17,  6.89iter/s]
Best score: 24.5104: : 105iter [00:17,  6.89iter/s]
Best score: 24.5104: : 106iter [00:17,  7.07iter/s]
Best score: 24.5104: : 106iter [00:17,  7.07iter/s]
Best score: 24.5104: : 107iter [00:17,  7.21iter/s]
Best score: 24.5104: : 107iter [00:17,  7.21iter/s]
Best score: 24.5104: : 108iter [00:17,  7.13iter/s]
Best score: 24.5104: : 108iter [00:17,  7.13iter/s]
Best score: 24.5104: : 109iter [00:17,  7.23iter/s]
Best score: 24.5104: : 109iter [00:18,  7.23iter/s]
Best score: 24.5104: : 110iter [00:18,  7.07iter/s]
Best score: 24.5104: : 110iter [00:18,  7.07iter/s]
Best score: 24.5104: : 111iter [00:18,  7.16iter/s]
Best score: 24.5104: : 111iter [00:18,  7.16iter/s]
Best score: 24.5104: : 112iter [00:18,  7.14iter/s]
Best score: 24.5104: : 112iter [00:18,  7.14iter/s]
Best score: 24.5104: : 113iter [00:18,  7.11iter/s]
Best score: 24.5104: : 113iter [00:18,  7.11iter/s]
Best score: 24.5104: : 114iter [00:18,  7.26iter/s]
Best score: 24.5104: : 114iter [00:18,  7.26iter/s]
Best score: 24.5104: : 115iter [00:18,  7.18iter/s]
Best score: 24.5104: : 115iter [00:18,  7.18iter/s]
Best score: 24.5104: : 116iter [00:18,  6.99iter/s]
Best score: 24.5104: : 116iter [00:18,  6.99iter/s]
Best score: 24.5104: : 117iter [00:18,  7.03iter/s]
Best score: 24.5104: : 117iter [00:19,  7.03iter/s]
Best score: 24.5104: : 118iter [00:19,  6.99iter/s]
Best score: 24.5104: : 118iter [00:19,  6.99iter/s]
Best score: 24.5104: : 119iter [00:19,  6.99iter/s]
Best score: 24.5104: : 119iter [00:19,  6.99iter/s]
Best score: 24.5104: : 120iter [00:19,  6.93iter/s]
Best score: 24.5104: : 120iter [00:19,  6.93iter/s]
Best score: 24.5104: : 121iter [00:19,  7.16iter/s]
Best score: 24.5104: : 121iter [00:19,  7.16iter/s]
Best score: 24.5104: : 122iter [00:19,  7.30iter/s]
Best score: 24.5104: : 122iter [00:19,  7.30iter/s]
Best score: 24.5104: : 123iter [00:19,  7.62iter/s]
Best score: 24.5104: : 123iter [00:19,  7.62iter/s]
Best score: 24.5104: : 124iter [00:19,  8.20iter/s]
Best score: 24.5104: : 124iter [00:19,  8.20iter/s]
Best score: 24.5104: : 125iter [00:20,  8.20iter/s]
Best score: 24.5104: : 126iter [00:20,  9.33iter/s]
Best score: 24.5104: : 126iter [00:20,  9.33iter/s]
Best score: 24.5104: : 127iter [00:20,  9.33iter/s]
Best score: 24.5104: : 128iter [00:20, 10.02iter/s]
Best score: 24.5104: : 128iter [00:20, 10.02iter/s]
Best score: 24.5104: : 129iter [00:20, 10.02iter/s]
Best score: 24.5104: : 130iter [00:20, 10.24iter/s]
Best score: 24.5104: : 130iter [00:20, 10.24iter/s]
Best score: 24.5104: : 131iter [00:20, 10.24iter/s]
Best score: 24.5104: : 132iter [00:20, 10.55iter/s]
Best score: 24.5104: : 132iter [00:20, 10.55iter/s]
Best score: 24.5104: : 133iter [00:20, 10.55iter/s]
Best score: 24.5104: : 134iter [00:20, 10.78iter/s]
Best score: 24.5104: : 134iter [00:20, 10.78iter/s]
Best score: 24.5104: : 135iter [00:20, 10.78iter/s]
Best score: 24.5104: : 136iter [00:20, 10.92iter/s]
Best score: 24.5104: : 136iter [00:21, 10.92iter/s]
Best score: 24.5104: : 137iter [00:21, 10.92iter/s]
Best score: 24.5104: : 138iter [00:21, 11.02iter/s]
Best score: 24.5104: : 138iter [00:21, 11.02iter/s]
Best score: 24.5104: : 139iter [00:21, 11.02iter/s]
Best score: 24.5104: : 140iter [00:21, 10.94iter/s]
Best score: 24.5104: : 140iter [00:21, 10.94iter/s]
Best score: 24.5104: : 141iter [00:21, 10.94iter/s]
Best score: 24.5104: : 142iter [00:21, 11.01iter/s]
Best score: 24.5104: : 142iter [00:21, 11.01iter/s]
Best score: 24.5104: : 143iter [00:21, 11.01iter/s]
Best score: 24.5104: : 144iter [00:21, 11.06iter/s]
Best score: 24.5104: : 144iter [00:21, 11.06iter/s]
Best score: 24.5104: : 145iter [00:21, 11.06iter/s]
Best score: 24.5104: : 146iter [00:21, 11.16iter/s]
Best score: 24.5104: : 146iter [00:21, 11.16iter/s]
Best score: 24.5104: : 147iter [00:22, 11.16iter/s]
Best score: 24.5104: : 148iter [00:22, 11.24iter/s]
Best score: 24.5104: : 148iter [00:22, 11.24iter/s]
[ITER 150] Best: 24.5104
[PARAMS] Current best parameters:
  fx: 626.1288
  fy: 631.5193
  px: 883.2455
  py: 945.3495
  k1: -0.17019790
  k2: 0.10255423
  k3: -0.02489826
  k4: -0.00205994
  p1: 0.03159834
  p2: -0.00960322
  p3: -0.00131069
  p4: 0.01308559
  s1: 0.0045
  s2: 0.0063
  s3: 0.0054
  s4: -0.0228
  tilt_x: 0.0009
  tilt_y: 0.0375
  scale: 2.9732
  rotation: -0.8962

Best score: 24.5104: : 149iter [00:22, 11.24iter/s]
Best score: 24.5104: : 150iter [00:22, 11.11iter/s]
Best score: 24.5104: : 150iter [00:22, 11.11iter/s]
Best score: 24.5104: : 151iter [00:22, 11.11iter/s]
Best score: 24.5104: : 152iter [00:22,  7.39iter/s]
Best score: 24.5104: : 152iter [00:22,  7.39iter/s]
Best score: 24.5104: : 153iter [00:22,  7.39iter/s]
Best score: 24.5104: : 154iter [00:22,  8.26iter/s]
Best score: 24.5104: : 154iter [00:22,  8.26iter/s]
Best score: 24.5104: : 155iter [00:23,  8.26iter/s]
Best score: 24.5104: : 156iter [00:23,  9.03iter/s]
Best score: 24.5104: : 156iter [00:23,  9.03iter/s]
Best score: 24.5104: : 157iter [00:23,  9.03iter/s]
Best score: 24.5104: : 158iter [00:23,  9.62iter/s]
Best score: 24.5104: : 158iter [00:23,  9.62iter/s]
Best score: 24.5104: : 159iter [00:23,  9.62iter/s]
Best score: 24.5104: : 160iter [00:23,  9.95iter/s]
Best score: 24.5104: : 160iter [00:23,  9.95iter/s]
Best score: 24.5104: : 161iter [00:23,  9.95iter/s]
Best score: 24.5104: : 162iter [00:23, 10.33iter/s]
Best score: 24.5104: : 162iter [00:23, 10.33iter/s]
Best score: 24.5104: : 163iter [00:23, 10.33iter/s]
Best score: 24.5104: : 164iter [00:23, 10.65iter/s]
Best score: 24.5104: : 164iter [00:23, 10.65iter/s]
Best score: 24.5104: : 165iter [00:23, 10.65iter/s]
Best score: 24.5104: : 166iter [00:23, 10.82iter/s]
Best score: 24.5104: : 166iter [00:24, 10.82iter/s]
Best score: 24.5104: : 167iter [00:24, 10.82iter/s]
Best score: 24.5104: : 168iter [00:24, 11.00iter/s]
Best score: 24.5104: : 168iter [00:24, 11.00iter/s]
Best score: 24.2769: : 169iter [00:24, 11.00iter/s]
Best score: 24.2769: : 170iter [00:24, 10.98iter/s]
Best score: 24.2769: : 170iter [00:24, 10.98iter/s]
Best score: 24.2769: : 171iter [00:24, 10.98iter/s]
Best score: 24.2769: : 172iter [00:24, 11.14iter/s]
Best score: 24.2769: : 172iter [00:24, 11.14iter/s]
Best score: 24.2769: : 173iter [00:24, 11.14iter/s]
Best score: 24.2769: : 174iter [00:24, 11.25iter/s]
Best score: 24.2769: : 174iter [00:24, 11.25iter/s]
Best score: 24.2769: : 175iter [00:24, 11.25iter/s]
Best score: 24.2769: : 176iter [00:24, 11.35iter/s]
Best score: 24.2769: : 176iter [00:24, 11.35iter/s]
Best score: 24.2769: : 177iter [00:25, 11.35iter/s]
Best score: 24.2769: : 178iter [00:25, 11.41iter/s]
Best score: 24.2769: : 178iter [00:25, 11.41iter/s]
Best score: 24.2769: : 179iter [00:25, 11.41iter/s]
Best score: 24.2769: : 180iter [00:25, 11.24iter/s]
Best score: 24.2769: : 180iter [00:25, 11.24iter/s]
Best score: 24.2769: : 181iter [00:25, 11.24iter/s]
Best score: 24.2769: : 182iter [00:25, 11.29iter/s]
Best score: 24.2769: : 182iter [00:25, 11.29iter/s]
Best score: 24.2769: : 183iter [00:25, 11.29iter/s]
Best score: 24.2769: : 184iter [00:25, 11.37iter/s]
Best score: 24.2769: : 184iter [00:25, 11.37iter/s]
Best score: 24.2769: : 185iter [00:25, 11.37iter/s]
Best score: 24.2769: : 186iter [00:25, 11.38iter/s]
Best score: 24.2769: : 186iter [00:25, 11.38iter/s]
Best score: 24.2769: : 187iter [00:25, 11.38iter/s]
Best score: 24.2769: : 188iter [00:25, 11.38iter/s]
Best score: 24.2769: : 188iter [00:25, 11.38iter/s]
Best score: 13.6734: : 189iter [00:26, 11.38iter/s]
Best score: 13.6734: : 190iter [00:26, 11.22iter/s]
Best score: 13.6734: : 190iter [00:26, 11.22iter/s]
Best score: 13.6734: : 191iter [00:26, 11.22iter/s]
Best score: 13.6734: : 192iter [00:26, 11.30iter/s]
Best score: 13.6734: : 192iter [00:26, 11.30iter/s]
Best score: 13.6734: : 193iter [00:26, 11.30iter/s]
Best score: 13.6734: : 194iter [00:26, 11.34iter/s]
Best score: 13.6734: : 194iter [00:26, 11.34iter/s]
Best score: 13.6734: : 195iter [00:26, 11.34iter/s]
Best score: 13.6734: : 196iter [00:26, 11.34iter/s]
Best score: 13.6734: : 196iter [00:26, 11.34iter/s]
Best score: 13.6734: : 197iter [00:26, 11.34iter/s]
Best score: 13.6734: : 198iter [00:26, 11.38iter/s]
Best score: 13.6734: : 198iter [00:26, 11.38iter/s]
[ITER 200] Best: 13.6734
[PARAMS] Current best parameters:
  fx: 662.7447
  fy: 658.7593
  px: 882.4593
  py: 940.0081
  k1: -0.18488744
  k2: 0.10310681
  k3: -0.04544003
  k4: 0.00779952
  p1: 0.02823157
  p2: -0.00542016
  p3: 0.00300214
  p4: 0.03499873
  s1: -0.0012
  s2: -0.0008
  s3: -0.0131
  s4: -0.0093
  tilt_x: -0.0039
  tilt_y: 0.0604
  scale: 3.0274
  rotation: -1.1499

Best score: 13.6734: : 199iter [00:26, 11.38iter/s]
Best score: 13.6734: : 200iter [00:26, 11.17iter/s]
Best score: 13.6734: : 200iter [00:27, 11.17iter/s]
Best score: 13.6734: : 201iter [00:27, 11.17iter/s]
Best score: 13.6734: : 202iter [00:27,  7.44iter/s]
Best score: 13.6734: : 202iter [00:27,  7.44iter/s]
Best score: 13.6734: : 203iter [00:27,  7.44iter/s]
Best score: 13.6734: : 204iter [00:27,  8.31iter/s]
Best score: 13.6734: : 204iter [00:27,  8.31iter/s]
Best score: 13.6734: : 205iter [00:27,  8.31iter/s]
Best score: 13.6734: : 206iter [00:27,  9.06iter/s]
Best score: 13.6734: : 206iter [00:27,  9.06iter/s]
Best score: 13.6734: : 207iter [00:27,  9.06iter/s]
Best score: 13.6734: : 208iter [00:27,  9.67iter/s]
Best score: 13.6734: : 208iter [00:28,  9.67iter/s]
Best score: 13.6734: : 209iter [00:28,  9.67iter/s]
Best score: 13.6734: : 210iter [00:28, 10.02iter/s]
Best score: 13.6734: : 210iter [00:28, 10.02iter/s]
Best score: 13.6734: : 211iter [00:28, 10.02iter/s]
Best score: 13.6734: : 212iter [00:28, 10.39iter/s]
Best score: 13.6734: : 212iter [00:28, 10.39iter/s]
Best score: 13.6734: : 213iter [00:28, 10.39iter/s]
Best score: 13.6734: : 214iter [00:28, 10.68iter/s]
Best score: 13.6734: : 214iter [00:28, 10.68iter/s]
Best score: 13.6734: : 215iter [00:28, 10.68iter/s]
Best score: 13.6734: : 216iter [00:28, 10.90iter/s]
Best score: 13.6734: : 216iter [00:28, 10.90iter/s]
Best score: 13.6734: : 217iter [00:28, 10.90iter/s]
Best score: 13.6734: : 218iter [00:28, 11.09iter/s]
Best score: 13.6734: : 218iter [00:28, 11.09iter/s]
Best score: 9.6465: : 219iter [00:29, 11.09iter/s] 
Best score: 9.6465: : 220iter [00:29, 10.99iter/s]
Best score: 9.6465: : 220iter [00:29, 10.99iter/s]
Best score: 9.6465: : 221iter [00:29, 10.99iter/s]
Best score: 9.6465: : 222iter [00:29, 11.08iter/s]
Best score: 9.6465: : 222iter [00:29, 11.08iter/s]
Best score: 9.6465: : 223iter [00:29, 11.08iter/s]
Best score: 9.6465: : 224iter [00:29, 11.19iter/s]
Best score: 9.6465: : 224iter [00:29, 11.19iter/s]
Best score: 9.6465: : 225iter [00:29, 11.19iter/s]
Best score: 9.6465: : 226iter [00:29, 11.26iter/s]
Best score: 9.6465: : 226iter [00:29, 11.26iter/s]
Best score: 9.6465: : 227iter [00:29, 11.26iter/s]
Best score: 9.6465: : 228iter [00:29, 11.33iter/s]
Best score: 9.6465: : 228iter [00:29, 11.33iter/s]
Best score: 9.6465: : 229iter [00:29, 11.33iter/s]
Best score: 9.6465: : 230iter [00:29, 11.18iter/s]
Best score: 9.6465: : 230iter [00:30, 11.18iter/s]
Best score: 9.6465: : 231iter [00:30, 11.18iter/s]
Best score: 9.6465: : 232iter [00:30, 11.26iter/s]
Best score: 9.6465: : 232iter [00:30, 11.26iter/s]
Best score: 9.6465: : 233iter [00:30, 11.26iter/s]
Best score: 9.6465: : 234iter [00:30, 11.35iter/s]
Best score: 9.6465: : 234iter [00:30, 11.35iter/s]
Best score: 9.6465: : 235iter [00:30, 11.35iter/s]
Best score: 9.6465: : 236iter [00:30, 11.41iter/s]
Best score: 9.6465: : 236iter [00:30, 11.41iter/s]
Best score: 9.6465: : 237iter [00:30, 11.41iter/s]
Best score: 9.6465: : 238iter [00:30, 11.42iter/s]
Best score: 9.6465: : 238iter [00:30, 11.42iter/s]
Best score: 5.0887: : 239iter [00:30, 11.42iter/s]
Best score: 5.0887: : 240iter [00:30, 11.26iter/s]
Best score: 5.0887: : 240iter [00:30, 11.26iter/s]
Best score: 5.0887: : 241iter [00:30, 11.26iter/s]
Best score: 5.0887: : 242iter [00:30, 11.32iter/s]
Best score: 5.0887: : 242iter [00:31, 11.32iter/s]
Best score: 5.0887: : 243iter [00:31, 11.32iter/s]
Best score: 5.0887: : 244iter [00:31, 11.39iter/s]
Best score: 5.0887: : 244iter [00:31, 11.39iter/s]
Best score: 5.0887: : 245iter [00:31, 11.39iter/s]
Best score: 5.0887: : 246iter [00:31, 11.45iter/s]
Best score: 5.0887: : 246iter [00:31, 11.45iter/s]
Best score: 5.0887: : 247iter [00:31, 11.45iter/s]
Best score: 5.0887: : 248iter [00:31, 11.45iter/s]
Best score: 5.0887: : 248iter [00:31, 11.45iter/s]
[ITER 250] Best: 4.7070
[PARAMS] Current best parameters:
  fx: 595.2641
  fy: 594.0518
  px: 885.5640
  py: 943.9519
  k1: -0.14746134
  k2: 0.13373994
  k3: -0.07120971
  k4: 0.01438176
  p1: 0.02170670
  p2: -0.00971679
  p3: 0.02118155
  p4: -0.03917125
  s1: 0.0015
  s2: 0.0025
  s3: 0.0207
  s4: -0.0089
  tilt_x: 0.0343
  tilt_y: 0.0015
  scale: 3.0612
  rotation: -0.5939

Best score: 4.7070: : 249iter [00:31, 11.45iter/s]
Best score: 4.7070: : 250iter [00:31, 11.31iter/s]
Best score: 4.7070: : 250iter [00:32, 11.31iter/s]
Best score: 4.7070: : 251iter [00:32, 11.31iter/s]
Best score: 4.7070: : 252iter [00:32,  7.43iter/s]
Best score: 4.7070: : 252iter [00:32,  7.43iter/s]
Best score: 4.7070: : 253iter [00:32,  6.40iter/s]
Best score: 4.7070: : 253iter [00:32,  6.40iter/s]
Best score: 4.7070: : 254iter [00:32,  6.40iter/s]
Best score: 4.7070: : 255iter [00:32,  7.52iter/s]
Best score: 4.7070: : 255iter [00:32,  7.52iter/s]
Best score: 4.7070: : 256iter [00:32,  7.52iter/s]
Best score: 4.7070: : 257iter [00:32,  8.49iter/s]
Best score: 4.7070: : 257iter [00:32,  8.49iter/s]
Best score: 4.7070: : 258iter [00:32,  8.49iter/s]
Best score: 4.7070: : 259iter [00:32,  9.27iter/s]
Best score: 4.7070: : 259iter [00:33,  9.27iter/s]
Best score: 4.7070: : 260iter [00:33,  9.27iter/s]
Best score: 4.7070: : 261iter [00:33,  9.70iter/s]
Best score: 4.7070: : 261iter [00:33,  9.70iter/s]
Best score: 4.7070: : 262iter [00:33,  9.70iter/s]
Best score: 4.7070: : 263iter [00:33, 10.20iter/s]
Best score: 4.7070: : 263iter [00:33, 10.20iter/s]
Best score: 4.7070: : 264iter [00:33, 10.20iter/s]
Best score: 4.7070: : 265iter [00:33, 10.59iter/s]
Best score: 4.7070: : 265iter [00:33, 10.59iter/s]
Best score: 4.7070: : 266iter [00:33, 10.59iter/s]
Best score: 4.7070: : 267iter [00:33, 10.85iter/s]
Best score: 4.7070: : 267iter [00:33, 10.85iter/s]
Best score: 4.7070: : 268iter [00:33, 10.85iter/s]
Best score: 4.7070: : 269iter [00:33, 10.99iter/s]
Best score: 4.7070: : 269iter [00:33, 10.99iter/s]
Best score: 4.7070: : 270iter [00:34, 10.99iter/s]
Best score: 4.7070: : 271iter [00:34, 10.94iter/s]
Best score: 4.7070: : 271iter [00:34, 10.94iter/s]
Best score: 4.7070: : 272iter [00:34, 10.94iter/s]
Best score: 4.7070: : 273iter [00:34, 11.10iter/s]
Best score: 4.7070: : 273iter [00:34, 11.10iter/s]
Best score: 4.7070: : 274iter [00:34, 11.10iter/s]
Best score: 4.7070: : 275iter [00:34, 11.17iter/s]
Best score: 4.7070: : 275iter [00:34, 11.17iter/s]
Best score: 4.7070: : 276iter [00:34, 11.17iter/s]
Best score: 4.7070: : 277iter [00:34, 11.25iter/s]
Best score: 4.7070: : 277iter [00:34, 11.25iter/s]
Best score: 4.7070: : 278iter [00:34, 11.25iter/s]
Best score: 4.7070: : 279iter [00:34, 11.30iter/s]
Best score: 4.7070: : 279iter [00:34, 11.30iter/s]
Best score: 4.7070: : 280iter [00:34, 11.30iter/s]
Best score: 4.7070: : 281iter [00:34, 11.19iter/s]
Best score: 4.7070: : 281iter [00:34, 11.19iter/s]
Best score: 4.7070: : 282iter [00:35, 11.19iter/s]
Best score: 4.7070: : 283iter [00:35, 11.25iter/s]
Best score: 4.7070: : 283iter [00:35, 11.25iter/s]
Best score: 4.7070: : 284iter [00:35, 11.25iter/s]
Best score: 4.7070: : 285iter [00:35, 11.30iter/s]
Best score: 4.7070: : 285iter [00:35, 11.30iter/s]
Best score: 4.7070: : 286iter [00:35, 11.30iter/s]
Best score: 4.7070: : 287iter [00:35, 11.39iter/s]
Best score: 4.7070: : 287iter [00:35, 11.39iter/s]
Best score: 4.7070: : 288iter [00:35, 11.39iter/s]
Best score: 4.7070: : 289iter [00:35, 11.44iter/s]
Best score: 2.4254: : 289iter [00:35, 11.44iter/s]
Best score: 2.4254: : 290iter [00:35, 11.44iter/s]
Best score: 2.4254: : 291iter [00:35, 11.26iter/s]
Best score: 2.4254: : 291iter [00:35, 11.26iter/s]
Best score: 2.4254: : 292iter [00:35, 11.26iter/s]
Best score: 2.4254: : 293iter [00:35, 11.31iter/s]
Best score: 2.4254: : 293iter [00:36, 11.31iter/s]
Best score: 2.4254: : 294iter [00:36, 11.31iter/s]
Best score: 2.4254: : 295iter [00:36, 11.39iter/s]
Best score: 2.4254: : 295iter [00:36, 11.39iter/s]
Best score: 2.4254: : 296iter [00:36, 11.39iter/s]
Best score: 2.4254: : 297iter [00:36, 11.43iter/s]
Best score: 2.4254: : 297iter [00:36, 11.43iter/s]
Best score: 2.4254: : 298iter [00:36, 11.43iter/s]
Best score: 2.4254: : 299iter [00:36, 11.41iter/s]
[ITER 300] Best: 2.3960
[PARAMS] Current best parameters:
  fx: 613.2499
  fy: 614.4060
  px: 887.8138
  py: 939.5461
  k1: -0.14828010
  k2: 0.08659286
  k3: -0.02879552
  k4: 0.00278578
  p1: 0.02633572
  p2: -0.01760452
  p3: 0.00675659
  p4: -0.01599638
  s1: -0.0013
  s2: 0.0044
  s3: -0.0006
  s4: -0.0190
  tilt_x: 0.0199
  tilt_y: -0.0251
  scale: 3.0621
  rotation: -0.8072

Best score: 2.3960: : 299iter [00:36, 11.41iter/s]
Best score: 2.3960: : 300iter [00:36, 11.41iter/s]
Best score: 2.3960: : 301iter [00:36,  7.42iter/s]
Best score: 2.3960: : 301iter [00:37,  7.42iter/s]
Best score: 2.3960: : 302iter [00:37,  7.42iter/s]
Best score: 2.3960: : 303iter [00:37,  8.31iter/s]
Best score: 2.3960: : 303iter [00:37,  8.31iter/s]
Best score: 2.3960: : 304iter [00:37,  8.31iter/s]
Best score: 2.3960: : 305iter [00:37,  9.06iter/s]
Best score: 2.3960: : 305iter [00:37,  9.06iter/s]
Best score: 2.3960: : 306iter [00:37,  9.06iter/s]
Best score: 2.3960: : 307iter [00:37,  9.68iter/s]
Best score: 2.3960: : 307iter [00:37,  9.68iter/s]
Best score: 2.3960: : 308iter [00:37,  9.68iter/s]
Best score: 2.3960: : 309iter [00:37, 10.14iter/s]
Best score: 1.7480: : 309iter [00:37, 10.14iter/s]
Best score: 1.7480: : 310iter [00:37, 10.14iter/s]
Best score: 1.7480: : 311iter [00:37, 10.36iter/s]
Best score: 1.7480: : 311iter [00:37, 10.36iter/s]
Best score: 1.7480: : 312iter [00:38, 10.36iter/s]
Best score: 1.7480: : 313iter [00:38, 10.71iter/s]
Best score: 1.7480: : 313iter [00:38, 10.71iter/s]
Best score: 1.7480: : 314iter [00:38, 10.71iter/s]
Best score: 1.7480: : 315iter [00:38, 10.93iter/s]
Best score: 1.7480: : 315iter [00:38, 10.93iter/s]
Best score: 1.7480: : 316iter [00:38, 10.93iter/s]
Best score: 1.7480: : 317iter [00:38, 11.05iter/s]
Best score: 1.7480: : 317iter [00:38, 11.05iter/s]
Best score: 1.7480: : 318iter [00:38, 11.05iter/s]
Best score: 1.7480: : 319iter [00:38, 11.15iter/s]
Best score: 1.2174: : 319iter [00:38, 11.15iter/s]
Best score: 1.2174: : 320iter [00:38, 11.15iter/s]
Best score: 1.2174: : 321iter [00:38, 11.08iter/s]
Best score: 1.2174: : 321iter [00:38, 11.08iter/s]
Best score: 1.2174: : 322iter [00:38, 11.08iter/s]
Best score: 1.2174: : 323iter [00:38, 11.20iter/s]
Best score: 1.2174: : 323iter [00:38, 11.20iter/s]
Best score: 1.2174: : 324iter [00:39, 11.20iter/s]
Best score: 1.2174: : 325iter [00:39, 11.29iter/s]
Best score: 1.2174: : 325iter [00:39, 11.29iter/s]
Best score: 1.2174: : 326iter [00:39, 11.29iter/s]
Best score: 1.2174: : 327iter [00:39, 11.40iter/s]
Best score: 1.2174: : 327iter [00:39, 11.40iter/s]
Best score: 1.2174: : 328iter [00:39, 11.40iter/s]
Best score: 1.2174: : 329iter [00:39, 11.42iter/s]
Best score: 0.9912: : 329iter [00:39, 11.42iter/s]
Best score: 0.9912: : 330iter [00:39, 11.42iter/s]
Best score: 0.9912: : 331iter [00:39, 11.27iter/s]
Best score: 0.9912: : 331iter [00:39, 11.27iter/s]
Best score: 0.9912: : 332iter [00:39, 11.27iter/s]
Best score: 0.9912: : 333iter [00:39, 11.26iter/s]
Best score: 0.9912: : 333iter [00:39, 11.26iter/s]
Best score: 0.9912: : 334iter [00:39, 11.26iter/s]
Best score: 0.9912: : 335iter [00:39, 11.33iter/s]
Best score: 0.9912: : 335iter [00:40, 11.33iter/s]
Best score: 0.9912: : 336iter [00:40, 11.33iter/s]
Best score: 0.9912: : 337iter [00:40, 11.37iter/s]
Best score: 0.9912: : 337iter [00:40, 11.37iter/s]
Best score: 0.9912: : 338iter [00:40, 11.37iter/s]
Best score: 0.9912: : 339iter [00:40, 11.40iter/s]
Best score: 0.9346: : 339iter [00:40, 11.40iter/s]
Best score: 0.9346: : 340iter [00:40, 11.40iter/s]
Best score: 0.9346: : 341iter [00:40, 11.24iter/s]
Best score: 0.9346: : 341iter [00:40, 11.24iter/s]
Best score: 0.9346: : 342iter [00:40, 11.24iter/s]
Best score: 0.9346: : 343iter [00:40, 11.31iter/s]
Best score: 0.9346: : 343iter [00:40, 11.31iter/s]
Best score: 0.9346: : 344iter [00:40, 11.31iter/s]
Best score: 0.9346: : 345iter [00:40, 11.37iter/s]
Best score: 0.9346: : 345iter [00:40, 11.37iter/s]
Best score: 0.9346: : 346iter [00:40, 11.37iter/s]
Best score: 0.9346: : 347iter [00:40, 11.45iter/s]
Best score: 0.9346: : 347iter [00:41, 11.45iter/s]
Best score: 0.9346: : 348iter [00:41, 11.45iter/s]
Best score: 0.9346: : 349iter [00:41, 11.45iter/s]
Best score: 0.6343: : 349iter [00:41, 11.45iter/s]
[ITER 350] Best: 0.6343
[PARAMS] Current best parameters:
  fx: 650.5459
  fy: 650.2962
  px: 899.5704
  py: 942.7900
  k1: -0.14544201
  k2: 0.03756866
  k3: -0.00119281
  k4: -0.00148103
  p1: 0.02452923
  p2: 0.00706853
  p3: -0.01443408
  p4: 0.00046398
  s1: 0.0059
  s2: 0.0073
  s3: -0.0033
  s4: -0.0039
  tilt_x: 0.0489
  tilt_y: -0.0331
  scale: 2.9937
  rotation: -0.9421

Best score: 0.6343: : 350iter [00:41, 11.45iter/s]
Best score: 0.6343: : 351iter [00:41,  7.42iter/s]
Best score: 0.6343: : 351iter [00:41,  7.42iter/s]
Best score: 0.6343: : 352iter [00:41,  7.42iter/s]
Best score: 0.6343: : 353iter [00:41,  8.30iter/s]
Best score: 0.6343: : 353iter [00:41,  8.30iter/s]
Best score: 0.6343: : 354iter [00:42,  8.30iter/s]
Best score: 0.6343: : 355iter [00:42,  9.06iter/s]
Best score: 0.6343: : 355iter [00:42,  9.06iter/s]
Best score: 0.6343: : 356iter [00:42,  9.06iter/s]
Best score: 0.6343: : 357iter [00:42,  9.70iter/s]
Best score: 0.6343: : 357iter [00:42,  9.70iter/s]
Best score: 0.6343: : 358iter [00:42,  9.70iter/s]
Best score: 0.6343: : 359iter [00:42, 10.23iter/s]
Best score: 0.3944: : 359iter [00:42, 10.23iter/s]
Best score: 0.3944: : 360iter [00:42, 10.23iter/s]
Best score: 0.3944: : 361iter [00:42, 10.42iter/s]
Best score: 0.3944: : 361iter [00:42, 10.42iter/s]
Best score: 0.3944: : 362iter [00:42, 10.42iter/s]
Best score: 0.3944: : 363iter [00:42, 10.74iter/s]
Best score: 0.3944: : 363iter [00:42, 10.74iter/s]
Best score: 0.3944: : 364iter [00:42, 10.74iter/s]
Best score: 0.3944: : 365iter [00:42, 10.94iter/s]
Best score: 0.3944: : 365iter [00:42, 10.94iter/s]
Best score: 0.3944: : 366iter [00:43, 10.94iter/s]
Best score: 0.3944: : 367iter [00:43, 11.16iter/s]
Best score: 0.3944: : 367iter [00:43, 11.16iter/s]
Best score: 0.3944: : 368iter [00:43, 11.16iter/s]
Best score: 0.3944: : 369iter [00:43, 11.25iter/s]
Best score: 0.3944: : 369iter [00:43, 11.25iter/s]
Best score: 0.3944: : 370iter [00:43, 11.25iter/s]
Best score: 0.3944: : 371iter [00:43, 11.15iter/s]
Best score: 0.3944: : 371iter [00:43, 11.15iter/s]
Best score: 0.3944: : 372iter [00:43, 11.15iter/s]
Best score: 0.3944: : 373iter [00:43, 11.23iter/s]
Best score: 0.3944: : 373iter [00:43, 11.23iter/s]
Best score: 0.3944: : 374iter [00:43, 11.23iter/s]
Best score: 0.3944: : 375iter [00:43, 11.29iter/s]
Best score: 0.3944: : 375iter [00:43, 11.29iter/s]
Best score: 0.3944: : 376iter [00:43, 11.29iter/s]
Best score: 0.3944: : 377iter [00:43, 11.38iter/s]
Best score: 0.3944: : 377iter [00:44, 11.38iter/s]
Best score: 0.3944: : 378iter [00:44, 11.38iter/s]
Best score: 0.3944: : 379iter [00:44, 11.43iter/s]
Best score: 0.3944: : 379iter [00:44, 11.43iter/s]
Best score: 0.3944: : 380iter [00:44, 11.43iter/s]
Best score: 0.3944: : 381iter [00:44, 11.29iter/s]
Best score: 0.3944: : 381iter [00:44, 11.29iter/s]
Best score: 0.3944: : 382iter [00:44, 11.29iter/s]
Best score: 0.3944: : 383iter [00:44, 11.39iter/s]
Best score: 0.3944: : 383iter [00:44, 11.39iter/s]
Best score: 0.3944: : 384iter [00:44, 11.39iter/s]
Best score: 0.3944: : 385iter [00:44, 11.44iter/s]
Best score: 0.3944: : 385iter [00:44, 11.44iter/s]
Best score: 0.3944: : 386iter [00:44, 11.44iter/s]
Best score: 0.3944: : 387iter [00:44, 11.50iter/s]
Best score: 0.3944: : 387iter [00:44, 11.50iter/s]
Best score: 0.3944: : 388iter [00:44, 11.50iter/s]
Best score: 0.3944: : 389iter [00:44, 11.55iter/s]
Best score: 0.3944: : 389iter [00:45, 11.55iter/s]
Best score: 0.3944: : 390iter [00:45, 11.55iter/s]
Best score: 0.3944: : 391iter [00:45, 11.38iter/s]
Best score: 0.3944: : 391iter [00:45, 11.38iter/s]
Best score: 0.3944: : 392iter [00:45, 11.38iter/s]
Best score: 0.3944: : 393iter [00:45, 11.39iter/s]
Best score: 0.3944: : 393iter [00:45, 11.39iter/s]
Best score: 0.3944: : 394iter [00:45, 11.39iter/s]
Best score: 0.3944: : 395iter [00:45, 11.45iter/s]
Best score: 0.3944: : 395iter [00:45, 11.45iter/s]
Best score: 0.3944: : 396iter [00:45, 11.45iter/s]
Best score: 0.3944: : 397iter [00:45, 11.53iter/s]
Best score: 0.3944: : 397iter [00:45, 11.53iter/s]
Best score: 0.3944: : 398iter [00:45, 11.53iter/s]
Best score: 0.3944: : 399iter [00:45, 11.51iter/s]
[ITER 400] Best: 0.3564
[PARAMS] Current best parameters:
  fx: 640.1229
  fy: 639.4706
  px: 899.9944
  py: 941.4989
  k1: -0.15938155
  k2: 0.08270518
  k3: -0.03383660
  k4: 0.00631057
  p1: 0.02833665
  p2: 0.01014997
  p3: -0.01414848
  p4: 0.00053893
  s1: 0.0040
  s2: 0.0061
  s3: -0.0015
  s4: -0.0052
  tilt_x: 0.0255
  tilt_y: -0.0321
  scale: 3.0156
  rotation: -0.8739

Best score: 0.3564: : 399iter [00:45, 11.51iter/s]
Best score: 0.3564: : 400iter [00:46, 11.51iter/s]
Best score: 0.3564: : 401iter [00:46,  7.40iter/s]
Best score: 0.3564: : 401iter [00:46,  7.40iter/s]
Best score: 0.3564: : 402iter [00:46,  7.40iter/s]
Best score: 0.3564: : 403iter [00:46,  8.29iter/s]
Best score: 0.3564: : 403iter [00:46,  8.29iter/s]
Best score: 0.3564: : 404iter [00:46,  8.29iter/s]
Best score: 0.3564: : 405iter [00:46,  9.03iter/s]
Best score: 0.3564: : 405iter [00:46,  9.03iter/s]
Best score: 0.3564: : 406iter [00:46,  9.03iter/s]
Best score: 0.3564: : 407iter [00:46,  9.62iter/s]
Best score: 0.3564: : 407iter [00:47,  9.62iter/s]
Best score: 0.3564: : 408iter [00:47,  9.62iter/s]
Best score: 0.3564: : 409iter [00:47,  9.17iter/s]
Best score: 0.3458: : 409iter [00:47,  9.17iter/s]
Best score: 0.3458: : 410iter [00:47,  9.17iter/s]
Best score: 0.3458: : 411iter [00:47,  9.64iter/s]
Best score: 0.3458: : 411iter [00:47,  9.64iter/s]
Best score: 0.3458: : 412iter [00:47,  9.64iter/s]
Best score: 0.3458: : 413iter [00:47, 10.15iter/s]
Best score: 0.3458: : 413iter [00:47, 10.15iter/s]
Best score: 0.3458: : 414iter [00:47, 10.15iter/s]
Best score: 0.3458: : 415iter [00:47, 10.51iter/s]
Best score: 0.3458: : 415iter [00:47, 10.51iter/s]
Best score: 0.3458: : 416iter [00:47, 10.51iter/s]
Best score: 0.3458: : 417iter [00:47, 10.80iter/s]
Best score: 0.3458: : 417iter [00:47, 10.80iter/s]
Best score: 0.3458: : 418iter [00:47, 10.80iter/s]
Best score: 0.3458: : 419iter [00:47, 11.07iter/s]
Best score: 0.3290: : 419iter [00:48, 11.07iter/s]
Best score: 0.3290: : 420iter [00:48, 11.07iter/s]
Best score: 0.3290: : 421iter [00:48, 11.09iter/s]
Best score: 0.3290: : 421iter [00:48, 11.09iter/s]
Best score: 0.3290: : 422iter [00:48, 11.09iter/s]
Best score: 0.3290: : 423iter [00:48, 11.29iter/s]
Best score: 0.3290: : 423iter [00:48, 11.29iter/s]
Best score: 0.3290: : 424iter [00:48, 11.29iter/s]
Best score: 0.3290: : 425iter [00:48, 11.44iter/s]
Best score: 0.3290: : 425iter [00:48, 11.44iter/s]
Best score: 0.3290: : 426iter [00:48, 11.44iter/s]
Best score: 0.3290: : 427iter [00:48, 11.52iter/s]
Best score: 0.3290: : 427iter [00:48, 11.52iter/s]
Best score: 0.3290: : 428iter [00:48, 11.52iter/s]
Best score: 0.3290: : 429iter [00:48, 11.60iter/s]
Best score: 0.3290: : 429iter [00:48, 11.60iter/s]
Best score: 0.3290: : 430iter [00:49, 11.60iter/s]
Best score: 0.3290: : 431iter [00:49, 11.44iter/s]
Best score: 0.3290: : 431iter [00:49, 11.44iter/s]
Best score: 0.3290: : 432iter [00:49, 11.44iter/s]
Best score: 0.3290: : 433iter [00:49, 11.53iter/s]
Best score: 0.3290: : 433iter [00:49, 11.53iter/s]
Best score: 0.3290: : 434iter [00:49, 11.53iter/s]
Best score: 0.3290: : 435iter [00:49, 11.58iter/s]
Best score: 0.3290: : 435iter [00:49, 11.58iter/s]
Best score: 0.3290: : 436iter [00:49, 11.58iter/s]
Best score: 0.3290: : 437iter [00:49, 11.63iter/s]
Best score: 0.3290: : 437iter [00:49, 11.63iter/s]
Best score: 0.3290: : 438iter [00:49, 11.63iter/s]
Best score: 0.3290: : 439iter [00:49, 11.63iter/s]
Best score: 0.2984: : 439iter [00:49, 11.63iter/s]
Best score: 0.2984: : 440iter [00:49, 11.63iter/s]
Best score: 0.2984: : 441iter [00:49, 11.43iter/s]
Best score: 0.2984: : 441iter [00:49, 11.43iter/s]
Best score: 0.2984: : 442iter [00:50, 11.43iter/s]
Best score: 0.2984: : 443iter [00:50, 11.53iter/s]
Best score: 0.2984: : 443iter [00:50, 11.53iter/s]
Best score: 0.2984: : 444iter [00:50, 11.53iter/s]
Best score: 0.2984: : 445iter [00:50, 11.57iter/s]
Best score: 0.2984: : 445iter [00:50, 11.57iter/s]
Best score: 0.2984: : 446iter [00:50, 11.57iter/s]
Best score: 0.2984: : 447iter [00:50, 11.62iter/s]
Best score: 0.2984: : 447iter [00:50, 11.62iter/s]
Best score: 0.2984: : 448iter [00:50, 11.62iter/s]
Best score: 0.2984: : 449iter [00:50, 11.65iter/s]
[ITER 450] Best: 0.2984
[PARAMS] Current best parameters:
  fx: 649.0522
  fy: 648.9251
  px: 897.2664
  py: 935.9484
  k1: -0.15043711
  k2: 0.04832847
  k3: -0.00511092
  k4: -0.00194804
  p1: 0.02317270
  p2: 0.00366479
  p3: -0.01173841
  p4: 0.00093762
  s1: 0.0093
  s2: -0.0002
  s3: -0.0105
  s4: -0.0026
  tilt_x: 0.0057
  tilt_y: -0.0334
  scale: 2.9912
  rotation: -0.8510

Best score: 0.2984: : 449iter [00:50, 11.65iter/s]
Best score: 0.2984: : 450iter [00:51, 11.65iter/s]
Best score: 0.2984: : 451iter [00:51,  7.46iter/s]
Best score: 0.2984: : 451iter [00:51,  7.46iter/s]
Best score: 0.2984: : 452iter [00:51,  7.46iter/s]
Best score: 0.2984: : 453iter [00:51,  8.38iter/s]
Best score: 0.2984: : 453iter [00:51,  8.38iter/s]
Best score: 0.2984: : 454iter [00:51,  8.38iter/s]
Best score: 0.2984: : 455iter [00:51,  9.17iter/s]
Best score: 0.2984: : 455iter [00:51,  9.17iter/s]
Best score: 0.2984: : 456iter [00:51,  9.17iter/s]
Best score: 0.2984: : 457iter [00:51,  9.82iter/s]
Best score: 0.2984: : 457iter [00:51,  9.82iter/s]
Best score: 0.2984: : 458iter [00:51,  9.82iter/s]
Best score: 0.2984: : 459iter [00:51, 10.34iter/s]
Best score: 0.2578: : 459iter [00:51, 10.34iter/s]
Best score: 0.2578: : 460iter [00:51, 10.34iter/s]
Best score: 0.2578: : 461iter [00:51, 10.57iter/s]
Best score: 0.2578: : 461iter [00:52, 10.57iter/s]
Best score: 0.2578: : 462iter [00:52, 10.57iter/s]
Best score: 0.2578: : 463iter [00:52, 10.91iter/s]
Best score: 0.2578: : 463iter [00:52, 10.91iter/s]
Best score: 0.2578: : 464iter [00:52, 10.91iter/s]
Best score: 0.2578: : 465iter [00:52, 11.17iter/s]
Best score: 0.2578: : 465iter [00:52, 11.17iter/s]
Best score: 0.2578: : 466iter [00:52, 11.17iter/s]
Best score: 0.2578: : 467iter [00:52, 11.36iter/s]
Best score: 0.2578: : 467iter [00:52, 11.36iter/s]
Best score: 0.2578: : 468iter [00:52, 11.36iter/s]
Best score: 0.2578: : 469iter [00:52, 11.48iter/s]
Best score: 0.2574: : 469iter [00:52, 11.48iter/s]
Best score: 0.2574: : 470iter [00:52, 11.48iter/s]
Best score: 0.2574: : 471iter [00:52, 11.35iter/s]
Best score: 0.2574: : 471iter [00:52, 11.35iter/s]
Best score: 0.2574: : 472iter [00:52, 11.35iter/s]
Best score: 0.2574: : 473iter [00:52, 11.40iter/s]
Best score: 0.2574: : 473iter [00:53, 11.40iter/s]
Best score: 0.2574: : 474iter [00:53, 11.40iter/s]
Best score: 0.2574: : 475iter [00:53, 11.43iter/s]
Best score: 0.2574: : 475iter [00:53, 11.43iter/s]
Best score: 0.2574: : 476iter [00:53, 11.43iter/s]
Best score: 0.2574: : 477iter [00:53, 11.47iter/s]
Best score: 0.2574: : 477iter [00:53, 11.47iter/s]
Best score: 0.2574: : 478iter [00:53, 11.47iter/s]
Best score: 0.2574: : 479iter [00:53, 11.54iter/s]
Best score: 0.2485: : 479iter [00:53, 11.54iter/s]
Best score: 0.2485: : 480iter [00:53, 11.54iter/s]
Best score: 0.2485: : 481iter [00:53, 11.36iter/s]
Best score: 0.2485: : 481iter [00:53, 11.36iter/s]
Best score: 0.2485: : 482iter [00:53, 11.36iter/s]
Best score: 0.2485: : 483iter [00:53, 11.47iter/s]
Best score: 0.2485: : 483iter [00:53, 11.47iter/s]
Best score: 0.2485: : 484iter [00:54, 11.47iter/s]
Best score: 0.2485: : 485iter [00:54, 11.56iter/s]
Best score: 0.2485: : 485iter [00:54, 11.56iter/s]
Best score: 0.2485: : 486iter [00:54, 11.56iter/s]
Best score: 0.2485: : 487iter [00:54, 11.60iter/s]
Best score: 0.2485: : 487iter [00:54, 11.60iter/s]
Best score: 0.2485: : 488iter [00:54, 11.60iter/s]
Best score: 0.2485: : 489iter [00:54, 11.62iter/s]
Best score: 0.2485: : 489iter [00:54, 11.62iter/s]
Best score: 0.2485: : 490iter [00:54, 11.62iter/s]
Best score: 0.2485: : 491iter [00:54, 11.46iter/s]
Best score: 0.2485: : 491iter [00:54, 11.46iter/s]
Best score: 0.2485: : 492iter [00:54, 11.46iter/s]
Best score: 0.2485: : 493iter [00:54, 11.54iter/s]
Best score: 0.2485: : 493iter [00:54, 11.54iter/s]
Best score: 0.2485: : 494iter [00:54, 11.54iter/s]
Best score: 0.2485: : 495iter [00:54, 11.59iter/s]
Best score: 0.2485: : 495iter [00:54, 11.59iter/s]
Best score: 0.2485: : 496iter [00:55, 11.59iter/s]
Best score: 0.2485: : 497iter [00:55, 11.62iter/s]
Best score: 0.2485: : 497iter [00:55, 11.62iter/s]
Best score: 0.2485: : 498iter [00:55, 11.62iter/s]
Best score: 0.2485: : 499iter [00:55, 11.65iter/s]
[ITER 500] Best: 0.2437
[PARAMS] Current best parameters:
  fx: 646.0864
  fy: 645.5223
  px: 898.4906
  py: 934.9028
  k1: -0.14529626
  k2: 0.04766157
  k3: -0.00862948
  k4: -0.00010707
  p1: 0.02372354
  p2: 0.00489751
  p3: -0.00928507
  p4: 0.00025539
  s1: 0.0051
  s2: 0.0002
  s3: -0.0138
  s4: -0.0017
  tilt_x: -0.0020
  tilt_y: -0.0379
  scale: 2.9921
  rotation: -0.8626

Best score: 0.2437: : 499iter [00:55, 11.65iter/s]
Best score: 0.2437: : 500iter [00:55, 11.65iter/s]
Best score: 0.2437: : 501iter [00:55,  7.46iter/s]
Best score: 0.2437: : 501iter [00:55,  7.46iter/s]
Best score: 0.2437: : 502iter [00:55,  7.46iter/s]
Best score: 0.2437: : 503iter [00:55,  8.35iter/s]
Best score: 0.2437: : 503iter [00:55,  8.35iter/s]
Best score: 0.2437: : 504iter [00:56,  8.35iter/s]
Best score: 0.2437: : 505iter [00:56,  9.08iter/s]
Best score: 0.2437: : 505iter [00:56,  9.08iter/s]
Best score: 0.2437: : 506iter [00:56,  9.08iter/s]
Best score: 0.2437: : 507iter [00:56,  9.69iter/s]
Best score: 0.2437: : 507iter [00:56,  9.69iter/s]
Best score: 0.2437: : 508iter [00:56,  9.69iter/s]
Best score: 0.2437: : 509iter [00:56, 10.23iter/s]
Best score: 0.2328: : 509iter [00:56, 10.23iter/s]
Best score: 0.2328: : 510iter [00:56, 10.23iter/s]
Best score: 0.2328: : 511iter [00:56, 10.48iter/s]
Best score: 0.2328: : 511iter [00:56, 10.48iter/s]
Best score: 0.2328: : 512iter [00:56, 10.48iter/s]
Best score: 0.2328: : 513iter [00:56, 10.82iter/s]
Best score: 0.2328: : 513iter [00:56, 10.82iter/s]
Best score: 0.2328: : 514iter [00:56, 10.82iter/s]
Best score: 0.2328: : 515iter [00:56, 11.01iter/s]
Best score: 0.2328: : 515iter [00:57, 11.01iter/s]
Best score: 0.2328: : 516iter [00:57, 11.01iter/s]
Best score: 0.2328: : 517iter [00:57, 11.05iter/s]
Best score: 0.2328: : 517iter [00:57, 11.05iter/s]
Best score: 0.2328: : 518iter [00:57, 11.05iter/s]
Best score: 0.2328: : 519iter [00:57, 11.11iter/s]
Best score: 0.2202: : 519iter [00:57, 11.11iter/s]
Best score: 0.2202: : 520iter [00:57, 11.11iter/s]
Best score: 0.2202: : 521iter [00:57, 10.99iter/s]
Best score: 0.2202: : 521iter [00:57, 10.99iter/s]
Best score: 0.2202: : 522iter [00:57, 10.99iter/s]
Best score: 0.2202: : 523iter [00:57, 11.11iter/s]
Best score: 0.2202: : 523iter [00:57, 11.11iter/s]
Best score: 0.2202: : 524iter [00:57, 11.11iter/s]
Best score: 0.2202: : 525iter [00:57, 11.20iter/s]
Best score: 0.2202: : 525iter [00:57, 11.20iter/s]
Best score: 0.2202: : 526iter [00:57, 11.20iter/s]
Best score: 0.2202: : 527iter [00:57, 11.22iter/s]
Best score: 0.2202: : 527iter [00:58, 11.22iter/s]
Best score: 0.2202: : 528iter [00:58, 11.22iter/s]
Best score: 0.2202: : 529iter [00:58, 11.32iter/s]
Best score: 0.2152: : 529iter [00:58, 11.32iter/s]
Best score: 0.2152: : 530iter [00:58, 11.32iter/s]
Best score: 0.2152: : 531iter [00:58, 11.21iter/s]
Best score: 0.2152: : 531iter [00:58, 11.21iter/s]
Best score: 0.2152: : 532iter [00:58, 11.21iter/s]
Best score: 0.2152: : 533iter [00:58, 11.29iter/s]
Best score: 0.2152: : 533iter [00:58, 11.29iter/s]
Best score: 0.2152: : 534iter [00:58, 11.29iter/s]
Best score: 0.2152: : 535iter [00:58, 11.33iter/s]
Best score: 0.2152: : 535iter [00:58, 11.33iter/s]
Best score: 0.2152: : 536iter [00:58, 11.33iter/s]
Best score: 0.2152: : 537iter [00:58, 11.27iter/s]
Best score: 0.2152: : 537iter [00:58, 11.27iter/s]
Best score: 0.2152: : 538iter [00:59, 11.27iter/s]
Best score: 0.2152: : 539iter [00:59, 11.25iter/s]
Best score: 0.1996: : 539iter [00:59, 11.25iter/s]
Best score: 0.1996: : 540iter [00:59, 11.25iter/s]
Best score: 0.1996: : 541iter [00:59, 11.07iter/s]
Best score: 0.1996: : 541iter [00:59, 11.07iter/s]
Best score: 0.1996: : 542iter [00:59, 11.07iter/s]
Best score: 0.1996: : 543iter [00:59, 11.14iter/s]
Best score: 0.1996: : 543iter [00:59, 11.14iter/s]
Best score: 0.1996: : 544iter [00:59, 11.14iter/s]
Best score: 0.1996: : 545iter [00:59, 11.17iter/s]
Best score: 0.1996: : 545iter [00:59, 11.17iter/s]
Best score: 0.1996: : 546iter [00:59, 11.17iter/s]
Best score: 0.1996: : 547iter [00:59, 11.16iter/s]
Best score: 0.1996: : 547iter [00:59, 11.16iter/s]
Best score: 0.1996: : 548iter [00:59, 11.16iter/s]
Best score: 0.1996: : 549iter [00:59, 11.14iter/s]
[ITER 550] Best: 0.1966
[PARAMS] Current best parameters:
  fx: 637.5986
  fy: 637.4676
  px: 893.7807
  py: 926.6903
  k1: -0.14082413
  k2: 0.05135958
  k3: -0.01136068
  k4: 0.00037098
  p1: 0.00408748
  p2: -0.00362758
  p3: 0.00738499
  p4: -0.01352688
  s1: -0.0084
  s2: 0.0162
  s3: -0.0200
  s4: 0.0116
  tilt_x: -0.0111
  tilt_y: -0.0264
  scale: 3.0041
  rotation: -0.8686

Best score: 0.1966: : 549iter [01:00, 11.14iter/s]
Best score: 0.1966: : 550iter [01:00, 11.14iter/s]
Best score: 0.1966: : 551iter [01:00,  7.31iter/s]
Best score: 0.1966: : 551iter [01:00,  7.31iter/s]
Best score: 0.1966: : 552iter [01:00,  7.31iter/s]
Best score: 0.1966: : 553iter [01:00,  8.18iter/s]
Best score: 0.1966: : 553iter [01:00,  8.18iter/s]
Best score: 0.1966: : 554iter [01:00,  8.18iter/s]
Best score: 0.1966: : 555iter [01:00,  8.93iter/s]
Best score: 0.1966: : 555iter [01:00,  8.93iter/s]
Best score: 0.1966: : 556iter [01:00,  8.93iter/s]
Best score: 0.1966: : 557iter [01:00,  9.54iter/s]
Best score: 0.1966: : 557iter [01:01,  9.54iter/s]
Best score: 0.1966: : 558iter [01:01,  9.54iter/s]
Best score: 0.1966: : 559iter [01:01,  9.99iter/s]
Best score: 0.1966: : 559iter [01:01,  9.99iter/s]
Best score: 0.1966: : 560iter [01:01,  9.99iter/s]
Best score: 0.1966: : 561iter [01:01, 10.16iter/s]
Best score: 0.1966: : 561iter [01:01, 10.16iter/s]
Best score: 0.1966: : 562iter [01:01, 10.16iter/s]
Best score: 0.1966: : 563iter [01:01, 10.46iter/s]
Best score: 0.1966: : 563iter [01:01, 10.46iter/s]
Best score: 0.1966: : 564iter [01:01, 10.46iter/s]
Best score: 0.1966: : 565iter [01:01, 10.69iter/s]
Best score: 0.1966: : 565iter [01:01, 10.69iter/s]
Best score: 0.1966: : 566iter [01:01, 10.69iter/s]
Best score: 0.1966: : 567iter [01:01, 10.89iter/s]
Best score: 0.1966: : 567iter [01:01, 10.89iter/s]
Best score: 0.1966: : 568iter [01:02, 10.89iter/s]
Best score: 0.1966: : 569iter [01:02, 11.02iter/s]
Best score: 0.1966: : 569iter [01:02, 11.02iter/s]
Best score: 0.1966: : 570iter [01:02, 11.02iter/s]
Best score: 0.1966: : 571iter [01:02, 10.92iter/s]
Best score: 0.1966: : 571iter [01:02, 10.92iter/s]
Best score: 0.1966: : 572iter [01:02, 10.92iter/s]
Best score: 0.1966: : 573iter [01:02, 11.07iter/s]
Best score: 0.1966: : 573iter [01:02, 11.07iter/s]
Best score: 0.1966: : 574iter [01:02, 11.07iter/s]
Best score: 0.1966: : 575iter [01:02, 11.17iter/s]
Best score: 0.1966: : 575iter [01:02, 11.17iter/s]
Best score: 0.1966: : 576iter [01:02, 11.17iter/s]
Best score: 0.1966: : 577iter [01:02, 11.17iter/s]
Best score: 0.1966: : 577iter [01:02, 11.17iter/s]
Best score: 0.1966: : 578iter [01:02, 11.17iter/s]
Best score: 0.1966: : 579iter [01:02, 11.22iter/s]
Best score: 0.1869: : 579iter [01:03, 11.22iter/s]
Best score: 0.1869: : 580iter [01:03, 11.22iter/s]
Best score: 0.1869: : 581iter [01:03, 11.10iter/s]
Best score: 0.1869: : 581iter [01:03, 11.10iter/s]
Best score: 0.1869: : 582iter [01:03, 11.10iter/s]
Best score: 0.1869: : 583iter [01:03, 11.23iter/s]
Best score: 0.1869: : 583iter [01:03, 11.23iter/s]
Best score: 0.1869: : 584iter [01:03, 11.23iter/s]
Best score: 0.1869: : 585iter [01:03, 11.27iter/s]
Best score: 0.1869: : 585iter [01:03, 11.27iter/s]
Best score: 0.1869: : 586iter [01:03, 11.27iter/s]
Best score: 0.1869: : 587iter [01:03, 11.31iter/s]
Best score: 0.1869: : 587iter [01:03, 11.31iter/s]
Best score: 0.1869: : 588iter [01:03, 11.31iter/s]
Best score: 0.1869: : 589iter [01:03, 11.35iter/s]
Best score: 0.1869: : 589iter [01:03, 11.35iter/s]
Best score: 0.1869: : 590iter [01:04, 11.35iter/s]
Best score: 0.1869: : 591iter [01:04, 11.21iter/s]
Best score: 0.1869: : 591iter [01:04, 11.21iter/s]
Best score: 0.1869: : 592iter [01:04, 11.21iter/s]
Best score: 0.1869: : 593iter [01:04, 11.28iter/s]
Best score: 0.1869: : 593iter [01:04, 11.28iter/s]
Best score: 0.1869: : 594iter [01:04, 11.28iter/s]
Best score: 0.1869: : 595iter [01:04, 11.34iter/s]
Best score: 0.1869: : 595iter [01:04, 11.34iter/s]
Best score: 0.1869: : 596iter [01:04, 11.34iter/s]
Best score: 0.1869: : 597iter [01:04, 11.38iter/s]
Best score: 0.1869: : 597iter [01:04, 11.38iter/s]
Best score: 0.1869: : 598iter [01:04, 11.38iter/s]
Best score: 0.1869: : 599iter [01:04, 11.37iter/s]
[ITER 600] Best: 0.1869
[PARAMS] Current best parameters:
  fx: 642.1315
  fy: 642.4297
  px: 893.1204
  py: 923.5265
  k1: -0.14626159
  k2: 0.05492852
  k3: -0.01435057
  k4: 0.00144963
  p1: 0.00131350
  p2: 0.00049627
  p3: 0.00474645
  p4: -0.02114127
  s1: -0.0100
  s2: 0.0227
  s3: -0.0204
  s4: 0.0213
  tilt_x: -0.0228
  tilt_y: -0.0144
  scale: 3.0007
  rotation: -0.8611

Best score: 0.1869: : 599iter [01:04, 11.37iter/s]
Best score: 0.1869: : 600iter [01:05, 11.37iter/s]
Best score: 0.1869: : 601iter [01:05,  7.37iter/s]
Best score: 0.1869: : 601iter [01:05,  7.37iter/s]
Best score: 0.1869: : 602iter [01:05,  7.37iter/s]
Best score: 0.1869: : 603iter [01:05,  8.29iter/s]
Best score: 0.1869: : 603iter [01:05,  8.29iter/s]
Best score: 0.1869: : 604iter [01:05,  8.29iter/s]
Best score: 0.1869: : 605iter [01:05,  9.05iter/s]
Best score: 0.1869: : 605iter [01:05,  9.05iter/s]
Best score: 0.1869: : 606iter [01:05,  9.05iter/s]
Best score: 0.1869: : 607iter [01:05,  9.69iter/s]
Best score: 0.1869: : 607iter [01:05,  9.69iter/s]
Best score: 0.1869: : 608iter [01:05,  9.69iter/s]
Best score: 0.1869: : 609iter [01:05, 10.24iter/s]
Best score: 0.1869: : 609iter [01:05, 10.24iter/s]
Best score: 0.1869: : 610iter [01:06, 10.24iter/s]
Best score: 0.1869: : 611iter [01:06, 10.48iter/s]
Best score: 0.1869: : 611iter [01:06, 10.48iter/s]
Best score: 0.1869: : 612iter [01:06, 10.48iter/s]
Best score: 0.1869: : 613iter [01:06, 10.84iter/s]
Best score: 0.1869: : 613iter [01:06, 10.84iter/s]
Best score: 0.1869: : 614iter [01:06, 10.84iter/s]
Best score: 0.1869: : 615iter [01:06, 11.06iter/s]
Best score: 0.1869: : 615iter [01:06, 11.06iter/s]
Best score: 0.1869: : 616iter [01:06, 11.06iter/s]
Best score: 0.1869: : 617iter [01:06, 11.24iter/s]
Best score: 0.1869: : 617iter [01:06, 11.24iter/s]
Best score: 0.1869: : 618iter [01:06, 11.24iter/s]
Best score: 0.1869: : 619iter [01:06, 11.36iter/s]
Best score: 0.1838: : 619iter [01:06, 11.36iter/s]
Best score: 0.1838: : 620iter [01:06, 11.36iter/s]
Best score: 0.1838: : 621iter [01:06, 11.16iter/s]
Best score: 0.1838: : 621iter [01:07, 11.16iter/s]
Best score: 0.1838: : 622iter [01:07, 11.16iter/s]
Best score: 0.1838: : 623iter [01:07, 11.24iter/s]
Best score: 0.1838: : 623iter [01:07, 11.24iter/s]
Best score: 0.1838: : 624iter [01:07, 11.24iter/s]
Best score: 0.1838: : 625iter [01:07, 11.31iter/s]
Best score: 0.1838: : 625iter [01:07, 11.31iter/s]
Best score: 0.1838: : 626iter [01:07, 11.31iter/s]
Best score: 0.1838: : 627iter [01:07, 11.40iter/s]
Best score: 0.1838: : 627iter [01:07, 11.40iter/s]
Best score: 0.1838: : 628iter [01:07, 11.40iter/s]
Best score: 0.1838: : 629iter [01:07, 11.45iter/s]
Best score: 0.1796: : 629iter [01:07, 11.45iter/s]
Best score: 0.1796: : 630iter [01:07, 11.45iter/s]
Best score: 0.1796: : 631iter [01:07, 11.35iter/s]
Best score: 0.1796: : 631iter [01:07, 11.35iter/s]
Best score: 0.1796: : 632iter [01:07, 11.35iter/s]
Best score: 0.1796: : 633iter [01:07, 11.46iter/s]
Best score: 0.1796: : 633iter [01:08, 11.46iter/s]
Best score: 0.1796: : 634iter [01:08, 11.46iter/s]
Best score: 0.1796: : 635iter [01:08, 11.49iter/s]
Best score: 0.1796: : 635iter [01:08, 11.49iter/s]
Best score: 0.1796: : 636iter [01:08, 11.49iter/s]
Best score: 0.1796: : 637iter [01:08, 11.51iter/s]
Best score: 0.1796: : 637iter [01:08, 11.51iter/s]
Best score: 0.1796: : 638iter [01:08, 11.51iter/s]
Best score: 0.1796: : 639iter [01:08, 11.58iter/s]
Best score: 0.1796: : 639iter [01:08, 11.58iter/s]
Best score: 0.1796: : 640iter [01:08, 11.58iter/s]
Best score: 0.1796: : 641iter [01:08, 11.43iter/s]
Best score: 0.1796: : 641iter [01:08, 11.43iter/s]
Best score: 0.1796: : 642iter [01:08, 11.43iter/s]
Best score: 0.1796: : 643iter [01:08, 11.52iter/s]
Best score: 0.1796: : 643iter [01:08, 11.52iter/s]
Best score: 0.1796: : 644iter [01:09, 11.52iter/s]
Best score: 0.1796: : 645iter [01:09, 11.58iter/s]
Best score: 0.1796: : 645iter [01:09, 11.58iter/s]
Best score: 0.1796: : 646iter [01:09, 11.58iter/s]
Best score: 0.1796: : 647iter [01:09, 11.63iter/s]
Best score: 0.1796: : 647iter [01:09, 11.63iter/s]
Best score: 0.1796: : 648iter [01:09, 11.63iter/s]
Best score: 0.1796: : 649iter [01:09, 11.65iter/s]
[ITER 650] Best: 0.1785
[PARAMS] Current best parameters:
  fx: 643.2323
  fy: 643.5300
  px: 894.2149
  py: 924.5229
  k1: -0.14931598
  k2: 0.05815365
  k3: -0.01615024
  k4: 0.00186038
  p1: 0.00153957
  p2: 0.00326433
  p3: 0.00627059
  p4: -0.01891531
  s1: -0.0124
  s2: 0.0207
  s3: -0.0218
  s4: 0.0200
  tilt_x: -0.0175
  tilt_y: -0.0153
  scale: 3.0025
  rotation: -0.8510

Best score: 0.1785: : 649iter [01:09, 11.65iter/s]
Best score: 0.1785: : 650iter [01:09, 11.65iter/s]
Best score: 0.1785: : 651iter [01:09,  7.49iter/s]
Best score: 0.1785: : 651iter [01:09,  7.49iter/s]
Best score: 0.1785: : 652iter [01:10,  7.49iter/s]
Best score: 0.1785: : 653iter [01:10,  8.38iter/s]
Best score: 0.1785: : 653iter [01:10,  8.38iter/s]
Best score: 0.1785: : 654iter [01:10,  8.38iter/s]
Best score: 0.1785: : 655iter [01:10,  9.17iter/s]
Best score: 0.1785: : 655iter [01:10,  9.17iter/s]
Best score: 0.1785: : 656iter [01:10,  9.17iter/s]
Best score: 0.1785: : 657iter [01:10,  9.83iter/s]
Best score: 0.1785: : 657iter [01:10,  9.83iter/s]
Best score: 0.1785: : 658iter [01:10,  9.83iter/s]
Best score: 0.1785: : 659iter [01:10, 10.30iter/s]
Best score: 0.1777: : 659iter [01:10, 10.30iter/s]
Best score: 0.1777: : 660iter [01:10, 10.30iter/s]
Best score: 0.1777: : 661iter [01:10, 10.52iter/s]
Best score: 0.1777: : 661iter [01:10, 10.52iter/s]
Best score: 0.1777: : 662iter [01:10, 10.52iter/s]
Best score: 0.1777: : 663iter [01:10, 10.86iter/s]
Best score: 0.1777: : 663iter [01:10, 10.86iter/s]
Best score: 0.1777: : 664iter [01:11, 10.86iter/s]
Best score: 0.1777: : 665iter [01:11, 11.11iter/s]
Best score: 0.1777: : 665iter [01:11, 11.11iter/s]
Best score: 0.1777: : 666iter [01:11, 11.11iter/s]
Best score: 0.1777: : 667iter [01:11, 11.30iter/s]
Best score: 0.1777: : 667iter [01:11, 11.30iter/s]
Best score: 0.1777: : 668iter [01:11, 11.30iter/s]
Best score: 0.1777: : 669iter [01:11, 11.43iter/s]
Best score: 0.1777: : 669iter [01:11, 11.43iter/s]
Best score: 0.1777: : 670iter [01:11, 11.43iter/s]
Best score: 0.1777: : 671iter [01:11, 11.33iter/s]
Best score: 0.1777: : 671iter [01:11, 11.33iter/s]
Best score: 0.1777: : 672iter [01:11, 11.33iter/s]
Best score: 0.1777: : 673iter [01:11, 11.37iter/s]
Best score: 0.1777: : 673iter [01:11, 11.37iter/s]
Best score: 0.1777: : 674iter [01:11, 11.37iter/s]
Best score: 0.1777: : 675iter [01:11, 11.46iter/s]
Best score: 0.1777: : 675iter [01:12, 11.46iter/s]
Best score: 0.1777: : 676iter [01:12, 11.46iter/s]
Best score: 0.1777: : 677iter [01:12, 11.53iter/s]
Best score: 0.1777: : 677iter [01:12, 11.53iter/s]
Best score: 0.1777: : 678iter [01:12, 11.53iter/s]
Best score: 0.1777: : 679iter [01:12, 11.58iter/s]
Best score: 0.1762: : 679iter [01:12, 11.58iter/s]
Best score: 0.1762: : 680iter [01:12, 11.58iter/s]
Best score: 0.1762: : 681iter [01:12, 11.43iter/s]
Best score: 0.1762: : 681iter [01:12, 11.43iter/s]
Best score: 0.1762: : 682iter [01:12, 11.43iter/s]
Best score: 0.1762: : 683iter [01:12, 11.52iter/s]
Best score: 0.1762: : 683iter [01:12, 11.52iter/s]
Best score: 0.1762: : 684iter [01:12, 11.52iter/s]
Best score: 0.1762: : 685iter [01:12, 11.55iter/s]
Best score: 0.1762: : 685iter [01:12, 11.55iter/s]
Best score: 0.1762: : 686iter [01:12, 11.55iter/s]
Best score: 0.1762: : 687iter [01:12, 11.60iter/s]
Best score: 0.1762: : 687iter [01:13, 11.60iter/s]
Best score: 0.1762: : 688iter [01:13, 11.60iter/s]
Best score: 0.1762: : 689iter [01:13, 11.65iter/s]
Best score: 0.1762: : 689iter [01:13, 11.65iter/s]
Best score: 0.1762: : 690iter [01:13, 11.65iter/s]
Best score: 0.1762: : 691iter [01:13, 11.47iter/s]
Best score: 0.1762: : 691iter [01:13, 11.47iter/s]
Best score: 0.1762: : 692iter [01:13, 11.47iter/s]
Best score: 0.1762: : 693iter [01:13, 11.53iter/s]
Best score: 0.1762: : 693iter [01:13, 11.53iter/s]
Best score: 0.1762: : 694iter [01:13, 11.53iter/s]
Best score: 0.1762: : 695iter [01:13, 11.57iter/s]
Best score: 0.1762: : 695iter [01:13, 11.57iter/s]
Best score: 0.1762: : 696iter [01:13, 11.57iter/s]
Best score: 0.1762: : 697iter [01:13, 11.62iter/s]
Best score: 0.1762: : 697iter [01:13, 11.62iter/s]
Best score: 0.1762: : 698iter [01:13, 11.62iter/s]
Best score: 0.1762: : 699iter [01:13, 11.65iter/s]
[ITER 700] Best: 0.1762
[PARAMS] Current best parameters:
  fx: 640.3508
  fy: 640.6130
  px: 893.9851
  py: 924.1767
  k1: -0.14894515
  k2: 0.06295091
  k3: -0.02032266
  k4: 0.00297344
  p1: 0.00014729
  p2: 0.00261214
  p3: 0.00882594
  p4: -0.01859827
  s1: -0.0146
  s2: 0.0204
  s3: -0.0233
  s4: 0.0202
  tilt_x: -0.0170
  tilt_y: -0.0152
  scale: 3.0062
  rotation: -0.8496

Best score: 0.1762: : 699iter [01:14, 11.65iter/s]
Best score: 0.1762: : 700iter [01:14, 11.65iter/s]
Best score: 0.1762: : 701iter [01:14,  6.38iter/s]
Best score: 0.1762: : 701iter [01:14,  6.38iter/s]
Best score: 0.1762: : 702iter [01:14,  6.38iter/s]
Best score: 0.1762: : 703iter [01:14,  7.40iter/s]
Best score: 0.1762: : 703iter [01:14,  7.40iter/s]
Best score: 0.1762: : 704iter [01:14,  7.40iter/s]
Best score: 0.1762: : 705iter [01:14,  8.33iter/s]
Best score: 0.1762: : 705iter [01:15,  8.33iter/s]
Best score: 0.1762: : 706iter [01:15,  8.33iter/s]
Best score: 0.1762: : 707iter [01:15,  9.12iter/s]
Best score: 0.1762: : 707iter [01:15,  9.12iter/s]
Best score: 0.1762: : 708iter [01:15,  9.12iter/s]
Best score: 0.1762: : 709iter [01:15,  9.70iter/s]
Best score: 0.1758: : 709iter [01:15,  9.70iter/s]
Best score: 0.1758: : 710iter [01:15,  9.70iter/s]
Best score: 0.1758: : 711iter [01:15, 10.07iter/s]
Best score: 0.1758: : 711iter [01:15, 10.07iter/s]
Best score: 0.1758: : 712iter [01:15, 10.07iter/s]
Best score: 0.1758: : 713iter [01:15,  7.96iter/s]
Best score: 0.1758: : 713iter [01:15,  7.96iter/s]
Best score: 0.1758: : 714iter [01:16,  7.96iter/s]
Best score: 0.1758: : 715iter [01:16,  8.78iter/s]
Best score: 0.1758: : 715iter [01:16,  8.78iter/s]
Best score: 0.1758: : 716iter [01:16,  8.78iter/s]
Best score: 0.1758: : 717iter [01:16,  9.48iter/s]
Best score: 0.1758: : 717iter [01:16,  9.48iter/s]
Best score: 0.1758: : 718iter [01:16,  9.48iter/s]
Best score: 0.1758: : 719iter [01:16,  9.99iter/s]
Best score: 0.1758: : 719iter [01:16,  9.99iter/s]
Best score: 0.1758: : 720iter [01:16,  9.99iter/s]
Best score: 0.1758: : 721iter [01:16, 10.24iter/s]
Best score: 0.1758: : 721iter [01:16, 10.24iter/s]
Best score: 0.1758: : 722iter [01:16, 10.24iter/s]
Best score: 0.1758: : 723iter [01:16, 10.64iter/s]
Best score: 0.1758: : 723iter [01:16, 10.64iter/s]
Best score: 0.1758: : 724iter [01:16, 10.64iter/s]
Best score: 0.1758: : 725iter [01:16, 10.92iter/s]
Best score: 0.1758: : 725iter [01:17, 10.92iter/s]
Best score: 0.1758: : 726iter [01:17, 10.92iter/s]
Best score: 0.1758: : 727iter [01:17, 11.16iter/s]
Best score: 0.1758: : 727iter [01:17, 11.16iter/s]
Best score: 0.1758: : 728iter [01:17, 11.16iter/s]
Best score: 0.1758: : 729iter [01:17, 11.32iter/s]
Best score: 0.1756: : 729iter [01:17, 11.32iter/s]
Best score: 0.1756: : 730iter [01:17, 11.32iter/s]
Best score: 0.1756: : 731iter [01:17, 11.25iter/s]
Best score: 0.1756: : 731iter [01:17, 11.25iter/s]
Best score: 0.1756: : 732iter [01:17, 11.25iter/s]
Best score: 0.1756: : 733iter [01:17, 11.40iter/s]
Best score: 0.1756: : 733iter [01:17, 11.40iter/s]
Best score: 0.1756: : 734iter [01:17, 11.40iter/s]
Best score: 0.1756: : 735iter [01:17, 11.51iter/s]
Best score: 0.1756: : 735iter [01:17, 11.51iter/s]
Best score: 0.1756: : 736iter [01:17, 11.51iter/s]
Best score: 0.1756: : 737iter [01:17, 11.57iter/s]
Best score: 0.1756: : 737iter [01:18, 11.57iter/s]
Best score: 0.1756: : 738iter [01:18, 11.57iter/s]
Best score: 0.1756: : 739iter [01:18, 11.62iter/s]
Best score: 0.1752: : 739iter [01:18, 11.62iter/s]
Best score: 0.1752: : 740iter [01:18, 11.62iter/s]
Best score: 0.1752: : 741iter [01:18, 11.45iter/s]
Best score: 0.1752: : 741iter [01:18, 11.45iter/s]
Best score: 0.1752: : 742iter [01:18, 11.45iter/s]
Best score: 0.1752: : 743iter [01:18, 11.54iter/s]
Best score: 0.1752: : 743iter [01:18, 11.54iter/s]
Best score: 0.1752: : 744iter [01:18, 11.54iter/s]
Best score: 0.1752: : 745iter [01:18, 11.60iter/s]
Best score: 0.1752: : 745iter [01:18, 11.60iter/s]
Best score: 0.1752: : 746iter [01:18, 11.60iter/s]
Best score: 0.1752: : 747iter [01:18, 11.64iter/s]
Best score: 0.1752: : 747iter [01:18, 11.64iter/s]
Best score: 0.1752: : 748iter [01:18, 11.64iter/s]
Best score: 0.1752: : 749iter [01:18, 11.68iter/s]
[ITER 750] Best: 0.1752
[PARAMS] Current best parameters:
  fx: 639.7231
  fy: 639.9608
  px: 894.3481
  py: 923.6023
  k1: -0.14662594
  k2: 0.06086662
  k3: -0.01968069
  k4: 0.00296150
  p1: 0.00001405
  p2: 0.00279920
  p3: 0.00881332
  p4: -0.01812182
  s1: -0.0140
  s2: 0.0194
  s3: -0.0238
  s4: 0.0197
  tilt_x: -0.0199
  tilt_y: -0.0169
  scale: 3.0038
  rotation: -0.8457

Best score: 0.1752: : 749iter [01:19, 11.68iter/s]
Best score: 0.1752: : 750iter [01:19, 11.68iter/s]
Best score: 0.1752: : 751iter [01:19,  7.49iter/s]
Best score: 0.1752: : 751iter [01:19,  7.49iter/s]
Best score: 0.1752: : 752iter [01:19,  7.49iter/s]
Best score: 0.1752: : 753iter [01:19,  8.40iter/s]
Best score: 0.1752: : 753iter [01:19,  8.40iter/s]
Best score: 0.1752: : 754iter [01:19,  8.40iter/s]
Best score: 0.1752: : 755iter [01:19,  9.18iter/s]
Best score: 0.1752: : 755iter [01:19,  9.18iter/s]
Best score: 0.1752: : 756iter [01:19,  9.18iter/s]
Best score: 0.1752: : 757iter [01:19,  9.78iter/s]
Best score: 0.1752: : 757iter [01:20,  9.78iter/s]
Best score: 0.1752: : 758iter [01:20,  9.78iter/s]
Best score: 0.1752: : 759iter [01:20, 10.31iter/s]
Best score: 0.1752: : 759iter [01:20, 10.31iter/s]
Best score: 0.1752: : 760iter [01:20, 10.31iter/s]
Best score: 0.1752: : 761iter [01:20, 10.54iter/s]
Best score: 0.1752: : 761iter [01:20, 10.54iter/s]
Best score: 0.1752: : 762iter [01:20, 10.54iter/s]
Best score: 0.1752: : 763iter [01:20, 10.82iter/s]
Best score: 0.1752: : 763iter [01:20, 10.82iter/s]
Best score: 0.1752: : 764iter [01:20, 10.82iter/s]
Best score: 0.1752: : 765iter [01:20, 11.08iter/s]
Best score: 0.1752: : 765iter [01:20, 11.08iter/s]
Best score: 0.1752: : 766iter [01:20, 11.08iter/s]
Best score: 0.1752: : 767iter [01:20, 11.27iter/s]
Best score: 0.1752: : 767iter [01:20, 11.27iter/s]
Best score: 0.1752: : 768iter [01:21, 11.27iter/s]
Best score: 0.1752: : 769iter [01:21, 11.35iter/s]
Best score: 0.1752: : 769iter [01:21, 11.35iter/s]
Best score: 0.1752: : 770iter [01:21, 11.35iter/s]
Best score: 0.1752: : 771iter [01:21, 11.28iter/s]
Best score: 0.1752: : 771iter [01:21, 11.28iter/s]
Best score: 0.1752: : 772iter [01:21, 11.28iter/s]
Best score: 0.1752: : 773iter [01:21, 11.39iter/s]
Best score: 0.1752: : 773iter [01:21, 11.39iter/s]
Best score: 0.1752: : 774iter [01:21, 11.39iter/s]
Best score: 0.1752: : 775iter [01:21, 11.40iter/s]
Best score: 0.1752: : 775iter [01:21, 11.40iter/s]
Best score: 0.1752: : 776iter [01:21, 11.40iter/s]
Best score: 0.1752: : 777iter [01:21, 11.41iter/s]
Best score: 0.1752: : 777iter [01:21, 11.41iter/s]
Best score: 0.1752: : 778iter [01:21, 11.41iter/s]
Best score: 0.1752: : 779iter [01:21, 11.50iter/s]
Best score: 0.1749: : 779iter [01:22, 11.50iter/s]
Best score: 0.1749: : 780iter [01:22, 11.50iter/s]
Best score: 0.1749: : 781iter [01:22, 11.37iter/s]
Best score: 0.1749: : 781iter [01:22, 11.37iter/s]
Best score: 0.1749: : 782iter [01:22, 11.37iter/s]
Best score: 0.1749: : 783iter [01:22, 11.49iter/s]
Best score: 0.1749: : 783iter [01:22, 11.49iter/s]
Best score: 0.1749: : 784iter [01:22, 11.49iter/s]
Best score: 0.1749: : 785iter [01:22, 11.52iter/s]
Best score: 0.1749: : 785iter [01:22, 11.52iter/s]
Best score: 0.1749: : 786iter [01:22, 11.52iter/s]
Best score: 0.1749: : 787iter [01:22, 11.59iter/s]
Best score: 0.1749: : 787iter [01:22, 11.59iter/s]
Best score: 0.1749: : 788iter [01:22, 11.59iter/s]
Best score: 0.1749: : 789iter [01:22, 11.65iter/s]
Best score: 0.1747: : 789iter [01:22, 11.65iter/s]
Best score: 0.1747: : 790iter [01:23, 11.65iter/s]
Best score: 0.1747: : 791iter [01:23, 10.38iter/s]
Best score: 0.1747: : 791iter [01:23, 10.38iter/s]
Best score: 0.1747: : 792iter [01:23, 10.38iter/s]
Best score: 0.1747: : 793iter [01:23, 10.67iter/s]
Best score: 0.1747: : 793iter [01:23, 10.67iter/s]
Best score: 0.1747: : 794iter [01:23, 10.67iter/s]
Best score: 0.1747: : 795iter [01:23, 10.92iter/s]
Best score: 0.1747: : 795iter [01:23, 10.92iter/s]
Best score: 0.1747: : 796iter [01:23, 10.92iter/s]
Best score: 0.1747: : 797iter [01:23, 11.07iter/s]
Best score: 0.1747: : 797iter [01:23, 11.07iter/s]
Best score: 0.1747: : 798iter [01:23, 11.07iter/s]
Best score: 0.1747: : 799iter [01:23, 11.20iter/s]
[ITER 800] Best: 0.1745
[PARAMS] Current best parameters:
  fx: 635.5894
  fy: 635.8209
  px: 894.1803
  py: 923.1138
  k1: -0.14380319
  k2: 0.06402794
  k3: -0.02335469
  k4: 0.00402079
  p1: -0.00223436
  p2: 0.00132405
  p3: 0.01325735
  p4: -0.01708301
  s1: -0.0168
  s2: 0.0181
  s3: -0.0266
  s4: 0.0191
  tilt_x: -0.0182
  tilt_y: -0.0188
  scale: 3.0060
  rotation: -0.8415

Best score: 0.1745: : 799iter [01:23, 11.20iter/s]
Best score: 0.1745: : 800iter [01:24, 11.20iter/s]
Best score: 0.1745: : 801iter [01:24,  7.24iter/s]
Best score: 0.1745: : 801iter [01:24,  7.24iter/s]
Best score: 0.1745: : 802iter [01:24,  7.24iter/s]
Best score: 0.1745: : 803iter [01:24,  8.18iter/s]
Best score: 0.1745: : 803iter [01:24,  8.18iter/s]
Best score: 0.1745: : 804iter [01:24,  8.18iter/s]
Best score: 0.1745: : 805iter [01:24,  9.00iter/s]
Best score: 0.1745: : 805iter [01:24,  9.00iter/s]
Best score: 0.1745: : 806iter [01:24,  9.00iter/s]
Best score: 0.1745: : 807iter [01:24,  9.62iter/s]
Best score: 0.1745: : 807iter [01:24,  9.62iter/s]
Best score: 0.1745: : 808iter [01:24,  9.62iter/s]
Best score: 0.1745: : 809iter [01:24, 10.10iter/s]
Best score: 0.1745: : 809iter [01:24, 10.10iter/s]
Best score: 0.1745: : 810iter [01:25, 10.10iter/s]
Best score: 0.1745: : 811iter [01:25, 10.38iter/s]
Best score: 0.1745: : 811iter [01:25, 10.38iter/s]
Best score: 0.1745: : 812iter [01:25, 10.38iter/s]
Best score: 0.1745: : 813iter [01:25, 10.72iter/s]
Best score: 0.1745: : 813iter [01:25, 10.72iter/s]
Best score: 0.1745: : 814iter [01:25, 10.72iter/s]
Best score: 0.1745: : 815iter [01:25, 10.98iter/s]
Best score: 0.1745: : 815iter [01:25, 10.98iter/s]
Best score: 0.1745: : 816iter [01:25, 10.98iter/s]
Best score: 0.1745: : 817iter [01:25, 11.20iter/s]
Best score: 0.1745: : 817iter [01:25, 11.20iter/s]
Best score: 0.1745: : 818iter [01:25, 11.20iter/s]
Best score: 0.1745: : 819iter [01:25, 11.34iter/s]
Best score: 0.1745: : 819iter [01:25, 11.34iter/s]
Best score: 0.1745: : 820iter [01:25, 11.34iter/s]
Best score: 0.1745: : 821iter [01:25, 11.27iter/s]
Best score: 0.1745: : 821iter [01:26, 11.27iter/s]
Best score: 0.1745: : 822iter [01:26, 11.27iter/s]
Best score: 0.1745: : 823iter [01:26, 11.37iter/s]
Best score: 0.1745: : 823iter [01:26, 11.37iter/s]
Best score: 0.1745: : 824iter [01:26, 11.37iter/s]
Best score: 0.1745: : 825iter [01:26, 11.48iter/s]
Best score: 0.1745: : 825iter [01:26, 11.48iter/s]
Best score: 0.1745: : 826iter [01:26, 11.48iter/s]
Best score: 0.1745: : 827iter [01:26, 11.53iter/s]
Best score: 0.1745: : 827iter [01:26, 11.53iter/s]
Best score: 0.1745: : 828iter [01:26, 11.53iter/s]
Best score: 0.1745: : 829iter [01:26, 11.56iter/s]
Best score: 0.1745: : 829iter [01:26, 11.56iter/s]
Best score: 0.1745: : 830iter [01:26, 11.56iter/s]
Best score: 0.1745: : 831iter [01:26, 11.42iter/s]
Best score: 0.1745: : 831iter [01:26, 11.42iter/s]
Best score: 0.1745: : 832iter [01:26, 11.42iter/s]
Best score: 0.1745: : 833iter [01:26, 11.52iter/s]
Best score: 0.1745: : 833iter [01:27, 11.52iter/s]
Best score: 0.1745: : 834iter [01:27, 11.52iter/s]
Best score: 0.1745: : 835iter [01:27, 11.56iter/s]
Best score: 0.1745: : 835iter [01:27, 11.56iter/s]
Best score: 0.1745: : 836iter [01:27, 11.56iter/s]
Best score: 0.1745: : 837iter [01:27, 11.58iter/s]
Best score: 0.1745: : 837iter [01:27, 11.58iter/s]
Best score: 0.1745: : 838iter [01:27, 11.58iter/s]
Best score: 0.1745: : 839iter [01:27, 11.51iter/s]
Best score: 0.1744: : 839iter [01:27, 11.51iter/s]
Best score: 0.1744: : 840iter [01:27, 11.51iter/s]
Best score: 0.1744: : 841iter [01:27, 11.31iter/s]
Best score: 0.1744: : 841iter [01:27, 11.31iter/s]
Best score: 0.1744: : 842iter [01:27, 11.31iter/s]
Best score: 0.1744: : 843iter [01:27, 11.34iter/s]
Best score: 0.1744: : 843iter [01:27, 11.34iter/s]
Best score: 0.1744: : 844iter [01:28, 11.34iter/s]
Best score: 0.1744: : 845iter [01:28, 11.38iter/s]
Best score: 0.1744: : 845iter [01:28, 11.38iter/s]
Best score: 0.1744: : 846iter [01:28, 11.38iter/s]
Best score: 0.1744: : 847iter [01:28, 11.43iter/s]
Best score: 0.1744: : 847iter [01:28, 11.43iter/s]
Best score: 0.1744: : 848iter [01:28, 11.43iter/s]
Best score: 0.1744: : 849iter [01:28, 11.45iter/s]
[ITER 850] Best: 0.1744
[PARAMS] Current best parameters:
  fx: 634.6627
  fy: 634.8638
  px: 893.9857
  py: 922.9373
  k1: -0.14342103
  k2: 0.06520674
  k3: -0.02444374
  k4: 0.00429796
  p1: -0.00308424
  p2: 0.00058488
  p3: 0.01444885
  p4: -0.01706556
  s1: -0.0177
  s2: 0.0183
  s3: -0.0272
  s4: 0.0190
  tilt_x: -0.0175
  tilt_y: -0.0191
  scale: 3.0067
  rotation: -0.8432

Best score: 0.1744: : 849iter [01:28, 11.45iter/s]
Best score: 0.1744: : 850iter [01:28, 11.45iter/s]
Best score: 0.1744: : 851iter [01:28,  7.42iter/s]
Best score: 0.1744: : 851iter [01:28,  7.42iter/s]
Best score: 0.1744: : 852iter [01:29,  7.42iter/s]
Best score: 0.1744: : 853iter [01:29,  8.31iter/s]
Best score: 0.1744: : 853iter [01:29,  8.31iter/s]
Best score: 0.1744: : 854iter [01:29,  8.31iter/s]
Best score: 0.1744: : 855iter [01:29,  9.01iter/s]
Best score: 0.1744: : 855iter [01:29,  9.01iter/s]
Best score: 0.1744: : 856iter [01:29,  9.01iter/s]
Best score: 0.1744: : 857iter [01:29,  9.61iter/s]
Best score: 0.1744: : 857iter [01:29,  9.61iter/s]
Best score: 0.1744: : 858iter [01:29,  9.61iter/s]
Best score: 0.1744: : 859iter [01:29, 10.10iter/s]
Best score: 0.1742: : 859iter [01:29, 10.10iter/s]
Best score: 0.1742: : 860iter [01:29, 10.10iter/s]
Best score: 0.1742: : 861iter [01:29,  9.87iter/s]
Best score: 0.1742: : 861iter [01:29,  9.87iter/s]
Best score: 0.1742: : 862iter [01:29,  9.87iter/s]
Best score: 0.1742: : 863iter [01:29, 10.31iter/s]
Best score: 0.1742: : 863iter [01:30, 10.31iter/s]
Best score: 0.1742: : 864iter [01:30, 10.31iter/s]
Best score: 0.1742: : 865iter [01:30, 10.16iter/s]
Best score: 0.1742: : 865iter [01:30, 10.16iter/s]
Best score: 0.1742: : 866iter [01:30, 10.16iter/s]
Best score: 0.1742: : 867iter [01:30, 10.52iter/s]
Best score: 0.1742: : 867iter [01:30, 10.52iter/s]
Best score: 0.1742: : 868iter [01:30, 10.52iter/s]
Best score: 0.1742: : 869iter [01:30, 10.80iter/s]
Best score: 0.1742: : 869iter [01:30, 10.80iter/s]
Best score: 0.1742: : 870iter [01:30, 10.80iter/s]
Best score: 0.1742: : 871iter [01:30, 10.77iter/s]
Best score: 0.1742: : 871iter [01:30, 10.77iter/s]
Best score: 0.1742: : 872iter [01:30, 10.77iter/s]
Best score: 0.1742: : 873iter [01:30, 10.92iter/s]
Best score: 0.1742: : 873iter [01:30, 10.92iter/s]
Best score: 0.1742: : 874iter [01:31, 10.92iter/s]
Best score: 0.1742: : 875iter [01:31, 10.64iter/s]
Best score: 0.1742: : 875iter [01:31, 10.64iter/s]
Best score: 0.1742: : 876iter [01:31, 10.64iter/s]
Best score: 0.1742: : 877iter [01:31, 10.92iter/s]
Best score: 0.1742: : 877iter [01:31, 10.92iter/s]
Best score: 0.1742: : 878iter [01:31, 10.92iter/s]
Best score: 0.1742: : 879iter [01:31, 11.06iter/s]
Best score: 0.1741: : 879iter [01:31, 11.06iter/s]
Best score: 0.1741: : 880iter [01:31, 11.06iter/s]
Best score: 0.1741: : 881iter [01:31, 10.99iter/s]
Best score: 0.1741: : 881iter [01:31, 10.99iter/s]
Best score: 0.1741: : 882iter [01:31, 10.99iter/s]
Best score: 0.1741: : 883iter [01:31, 11.19iter/s]
Best score: 0.1741: : 883iter [01:31, 11.19iter/s]
Best score: 0.1741: : 884iter [01:31, 11.19iter/s]
Best score: 0.1741: : 885iter [01:31, 11.24iter/s]
Best score: 0.1741: : 885iter [01:32, 11.24iter/s]
Best score: 0.1741: : 886iter [01:32, 11.24iter/s]
Best score: 0.1741: : 887iter [01:32, 11.24iter/s]
Best score: 0.1741: : 887iter [01:32, 11.24iter/s]
Best score: 0.1741: : 888iter [01:32, 11.24iter/s]
Best score: 0.1741: : 889iter [01:32, 11.25iter/s]
Best score: 0.1740: : 889iter [01:32, 11.25iter/s]
Best score: 0.1740: : 890iter [01:32, 11.25iter/s]
Best score: 0.1740: : 891iter [01:32, 11.11iter/s]
Best score: 0.1740: : 891iter [01:32, 11.11iter/s]
Best score: 0.1740: : 892iter [01:32, 11.11iter/s]
Best score: 0.1740: : 893iter [01:32, 11.21iter/s]
Best score: 0.1740: : 893iter [01:32, 11.21iter/s]
Best score: 0.1740: : 894iter [01:32, 11.21iter/s]
Best score: 0.1740: : 895iter [01:32, 11.31iter/s]
Best score: 0.1740: : 895iter [01:32, 11.31iter/s]
Best score: 0.1740: : 896iter [01:33, 11.31iter/s]
Best score: 0.1740: : 897iter [01:33, 11.33iter/s]
Best score: 0.1740: : 897iter [01:33, 11.33iter/s]
Best score: 0.1740: : 898iter [01:33, 11.33iter/s]
Best score: 0.1740: : 899iter [01:33, 11.32iter/s]
[ITER 900] Best: 0.1740
[PARAMS] Current best parameters:
  fx: 632.6749
  fy: 632.8509
  px: 894.3548
  py: 923.1393
  k1: -0.14103756
  k2: 0.06480485
  k3: -0.02488922
  k4: 0.00448958
  p1: -0.00425527
  p2: -0.00030073
  p3: 0.01782485
  p4: -0.01599246
  s1: -0.0197
  s2: 0.0172
  s3: -0.0291
  s4: 0.0180
  tilt_x: -0.0139
  tilt_y: -0.0229
  scale: 3.0069
  rotation: -0.8461

Best score: 0.1740: : 899iter [01:33, 11.32iter/s]
Best score: 0.1740: : 900iter [01:33, 11.32iter/s]
Best score: 0.1740: : 901iter [01:33,  7.35iter/s]
Best score: 0.1740: : 901iter [01:33,  7.35iter/s]
Best score: 0.1740: : 902iter [01:33,  7.35iter/s]
Best score: 0.1740: : 903iter [01:33,  8.21iter/s]
Best score: 0.1740: : 903iter [01:33,  8.21iter/s]
Best score: 0.1740: : 904iter [01:34,  8.21iter/s]
Best score: 0.1740: : 905iter [01:34,  9.01iter/s]
Best score: 0.1740: : 905iter [01:34,  9.01iter/s]
Best score: 0.1740: : 906iter [01:34,  9.01iter/s]
Best score: 0.1740: : 907iter [01:34,  9.61iter/s]
Best score: 0.1740: : 907iter [01:34,  9.61iter/s]
Best score: 0.1740: : 908iter [01:34,  9.61iter/s]
Best score: 0.1740: : 909iter [01:34, 10.09iter/s]
Best score: 0.1739: : 909iter [01:34, 10.09iter/s]
Best score: 0.1739: : 910iter [01:34, 10.09iter/s]
Best score: 0.1739: : 911iter [01:34, 10.29iter/s]
Best score: 0.1739: : 911iter [01:34, 10.29iter/s]
Best score: 0.1739: : 912iter [01:34, 10.29iter/s]
Best score: 0.1739: : 913iter [01:34, 10.61iter/s]
Best score: 0.1739: : 913iter [01:34, 10.61iter/s]
Best score: 0.1739: : 914iter [01:34, 10.61iter/s]
Best score: 0.1739: : 915iter [01:34, 10.85iter/s]
Best score: 0.1739: : 915iter [01:35, 10.85iter/s]
Best score: 0.1739: : 916iter [01:35, 10.85iter/s]
Best score: 0.1739: : 917iter [01:35, 11.01iter/s]
Best score: 0.1739: : 917iter [01:35, 11.01iter/s]
Best score: 0.1739: : 918iter [01:35, 11.01iter/s]
Best score: 0.1739: : 919iter [01:35, 11.13iter/s]
Best score: 0.1739: : 919iter [01:35, 11.13iter/s]
Best score: 0.1739: : 920iter [01:35, 11.13iter/s]
Best score: 0.1739: : 921iter [01:35, 11.05iter/s]
Best score: 0.1739: : 921iter [01:35, 11.05iter/s]
Best score: 0.1739: : 922iter [01:35, 11.05iter/s]
Best score: 0.1739: : 923iter [01:35, 11.23iter/s]
Best score: 0.1739: : 923iter [01:35, 11.23iter/s]
Best score: 0.1739: : 924iter [01:35, 11.23iter/s]
Best score: 0.1739: : 925iter [01:35, 11.31iter/s]
Best score: 0.1739: : 925iter [01:35, 11.31iter/s]
Best score: 0.1739: : 926iter [01:35, 11.31iter/s]
Best score: 0.1739: : 927iter [01:35, 11.37iter/s]
Best score: 0.1739: : 927iter [01:36, 11.37iter/s]
Best score: 0.1739: : 928iter [01:36, 11.37iter/s]
Best score: 0.1739: : 929iter [01:36, 11.35iter/s]
Best score: 0.1739: : 929iter [01:36, 11.35iter/s]
Best score: 0.1739: : 930iter [01:36, 11.35iter/s]
Best score: 0.1739: : 931iter [01:36, 11.22iter/s]
Best score: 0.1739: : 931iter [01:36, 11.22iter/s]
Best score: 0.1739: : 932iter [01:36, 11.22iter/s]
Best score: 0.1739: : 933iter [01:36, 11.27iter/s]
Best score: 0.1739: : 933iter [01:36, 11.27iter/s]
Best score: 0.1739: : 934iter [01:36, 11.27iter/s]
Best score: 0.1739: : 935iter [01:36, 11.32iter/s]
Best score: 0.1739: : 935iter [01:36, 11.32iter/s]
Best score: 0.1739: : 936iter [01:36, 11.32iter/s]
Best score: 0.1739: : 937iter [01:36, 11.39iter/s]
Best score: 0.1739: : 937iter [01:36, 11.39iter/s]
Best score: 0.1739: : 938iter [01:37, 11.39iter/s]
Best score: 0.1739: : 939iter [01:37, 11.48iter/s]
Best score: 0.1739: : 939iter [01:37, 11.48iter/s]
Best score: 0.1739: : 940iter [01:37, 11.48iter/s]
Best score: 0.1739: : 941iter [01:37, 11.33iter/s]
Best score: 0.1739: : 941iter [01:37, 11.33iter/s]
Best score: 0.1739: : 942iter [01:37, 11.33iter/s]
Best score: 0.1739: : 943iter [01:37, 11.40iter/s]
Best score: 0.1739: : 943iter [01:37, 11.40iter/s]
Best score: 0.1739: : 944iter [01:37, 11.40iter/s]
Best score: 0.1739: : 945iter [01:37, 11.41iter/s]
Best score: 0.1739: : 945iter [01:37, 11.41iter/s]
Best score: 0.1739: : 946iter [01:37, 11.41iter/s]
Best score: 0.1739: : 947iter [01:37, 11.42iter/s]
Best score: 0.1739: : 947iter [01:37, 11.42iter/s]
Best score: 0.1739: : 948iter [01:37, 11.42iter/s]
Best score: 0.1739: : 949iter [01:37, 11.41iter/s]
Best score: 0.1739: : 949iter [01:38, 11.41iter/s]
[ITER 950] Best: 0.1739
[PARAMS] Current best parameters:
  fx: 632.5935
  fy: 632.7373
  px: 894.8474
  py: 922.9300
  k1: -0.14059271
  k2: 0.06429862
  k3: -0.02470167
  k4: 0.00448470
  p1: -0.00571689
  p2: 0.00021612
  p3: 0.01951630
  p4: -0.01573846
  s1: -0.0215
  s2: 0.0171
  s3: -0.0297
  s4: 0.0180
  tilt_x: -0.0121
  tilt_y: -0.0246
  scale: 3.0065
  rotation: -0.8452

Best score: 0.1739: : 950iter [01:38, 11.41iter/s]
Best score: 0.1739: : 951iter [01:38,  7.37iter/s]
Best score: 0.1739: : 951iter [01:38,  7.37iter/s]
Best score: 0.1739: : 952iter [01:38,  7.37iter/s]
Best score: 0.1739: : 953iter [01:38,  8.24iter/s]
Best score: 0.1739: : 953iter [01:38,  8.24iter/s]
Best score: 0.1739: : 954iter [01:38,  8.24iter/s]
Best score: 0.1739: : 955iter [01:38,  8.99iter/s]
Best score: 0.1739: : 955iter [01:38,  8.99iter/s]
Best score: 0.1739: : 956iter [01:38,  8.99iter/s]
Best score: 0.1739: : 957iter [01:38,  9.60iter/s]
Best score: 0.1739: : 957iter [01:39,  9.60iter/s]
Best score: 0.1739: : 958iter [01:39,  9.60iter/s]
Best score: 0.1739: : 959iter [01:39, 10.05iter/s]
Best score: 0.1738: : 959iter [01:39, 10.05iter/s]
Best score: 0.1738: : 960iter [01:39, 10.05iter/s]
Best score: 0.1738: : 961iter [01:39, 10.30iter/s]
Best score: 0.1738: : 961iter [01:39, 10.30iter/s]
Best score: 0.1738: : 962iter [01:39, 10.30iter/s]
Best score: 0.1738: : 963iter [01:39, 10.64iter/s]
Best score: 0.1738: : 963iter [01:39, 10.64iter/s]
Best score: 0.1738: : 964iter [01:39, 10.64iter/s]
Best score: 0.1738: : 965iter [01:39, 10.86iter/s]
Best score: 0.1738: : 965iter [01:39, 10.86iter/s]
Best score: 0.1738: : 966iter [01:39, 10.86iter/s]
Best score: 0.1738: : 967iter [01:39, 11.01iter/s]
Best score: 0.1738: : 967iter [01:39, 11.01iter/s]
Best score: 0.1738: : 968iter [01:40, 11.01iter/s]
Best score: 0.1738: : 969iter [01:40, 11.08iter/s]
Best score: 0.1738: : 969iter [01:40, 11.08iter/s]
Best score: 0.1738: : 970iter [01:40, 11.08iter/s]
Best score: 0.1738: : 971iter [01:40, 10.98iter/s]
Best score: 0.1738: : 971iter [01:40, 10.98iter/s]
Best score: 0.1738: : 972iter [01:40, 10.98iter/s]
Best score: 0.1738: : 973iter [01:40, 11.10iter/s]
Best score: 0.1738: : 973iter [01:40, 11.10iter/s]
Best score: 0.1738: : 974iter [01:40, 11.10iter/s]
Best score: 0.1738: : 975iter [01:40, 11.22iter/s]
Best score: 0.1738: : 975iter [01:40, 11.22iter/s]
Best score: 0.1738: : 976iter [01:40, 11.22iter/s]
Best score: 0.1738: : 977iter [01:40, 11.34iter/s]
Best score: 0.1738: : 977iter [01:40, 11.34iter/s]
Best score: 0.1738: : 978iter [01:40, 11.34iter/s]
Best score: 0.1738: : 979iter [01:40, 11.41iter/s]
Best score: 0.1738: : 979iter [01:40, 11.41iter/s]
Best score: 0.1738: : 980iter [01:41, 11.41iter/s]
Best score: 0.1738: : 981iter [01:41, 11.21iter/s]
Best score: 0.1738: : 981iter [01:41, 11.21iter/s]
Best score: 0.1738: : 982iter [01:41, 11.21iter/s]
Best score: 0.1738: : 983iter [01:41, 11.29iter/s]
Best score: 0.1738: : 983iter [01:41, 11.29iter/s]
Best score: 0.1738: : 984iter [01:41, 11.29iter/s]
Best score: 0.1738: : 985iter [01:41, 11.34iter/s]
Best score: 0.1738: : 985iter [01:41, 11.34iter/s]
Best score: 0.1738: : 986iter [01:41, 11.34iter/s]
Best score: 0.1738: : 987iter [01:41, 11.44iter/s]
Best score: 0.1738: : 987iter [01:41, 11.44iter/s]
Best score: 0.1738: : 988iter [01:41, 11.44iter/s]
Best score: 0.1738: : 989iter [01:41, 11.47iter/s]
Best score: 0.1738: : 989iter [01:41, 11.47iter/s]
Best score: 0.1738: : 990iter [01:41, 11.47iter/s]
Best score: 0.1738: : 991iter [01:41, 11.33iter/s]
Best score: 0.1738: : 991iter [01:42, 11.33iter/s]
Best score: 0.1738: : 992iter [01:42, 11.33iter/s]
Best score: 0.1738: : 993iter [01:42, 11.35iter/s]
Best score: 0.1738: : 993iter [01:42, 11.35iter/s]
Best score: 0.1738: : 994iter [01:42, 11.35iter/s]
Best score: 0.1738: : 995iter [01:42, 11.35iter/s]
Best score: 0.1738: : 995iter [01:42, 11.35iter/s]
Best score: 0.1738: : 996iter [01:42, 11.35iter/s]
Best score: 0.1738: : 997iter [01:42, 11.35iter/s]
Best score: 0.1738: : 997iter [01:42, 11.35iter/s]
Best score: 0.1738: : 998iter [01:42, 11.35iter/s]
Best score: 0.1738: : 999iter [01:42, 11.36iter/s]
[ITER 1000] Best: 0.1737
[PARAMS] Current best parameters:
  fx: 631.2786
  fy: 631.4119
  px: 894.7761
  py: 922.7693
  k1: -0.13739952
  k2: 0.06079549
  k3: -0.02273239
  k4: 0.00407241
  p1: -0.00909410
  p2: 0.00027856
  p3: 0.02127902
  p4: -0.01356388
  s1: -0.0233
  s2: 0.0148
  s3: -0.0285
  s4: 0.0161
  tilt_x: -0.0062
  tilt_y: -0.0241
  scale: 3.0053
  rotation: -0.8529

Best score: 0.1737: : 999iter [01:42, 11.36iter/s]
Best score: 0.1737: : 1000iter [01:43, 11.36iter/s]
Best score: 0.1737: : 1001iter [01:43,  7.38iter/s]
Best score: 0.1737: : 1001iter [01:43,  7.38iter/s]
Best score: 0.1737: : 1002iter [01:43,  7.38iter/s]
Best score: 0.1737: : 1003iter [01:43,  8.24iter/s]
Best score: 0.1737: : 1003iter [01:43,  8.24iter/s]
Best score: 0.1737: : 1004iter [01:43,  8.24iter/s]
Best score: 0.1737: : 1005iter [01:43,  8.98iter/s]
Best score: 0.1737: : 1005iter [01:43,  8.98iter/s]
Best score: 0.1737: : 1006iter [01:43,  8.98iter/s]
Best score: 0.1737: : 1007iter [01:43,  9.60iter/s]
Best score: 0.1737: : 1007iter [01:43,  9.60iter/s]
Best score: 0.1737: : 1008iter [01:43,  9.60iter/s]
Best score: 0.1737: : 1009iter [01:43, 10.09iter/s]
Best score: 0.1737: : 1009iter [01:43, 10.09iter/s]
Best score: 0.1737: : 1010iter [01:44, 10.09iter/s]
Best score: 0.1737: : 1011iter [01:44, 10.29iter/s]
Best score: 0.1737: : 1011iter [01:44, 10.29iter/s]
Best score: 0.1737: : 1012iter [01:44, 10.29iter/s]
Best score: 0.1737: : 1013iter [01:44, 10.61iter/s]
Best score: 0.1737: : 1013iter [01:44, 10.61iter/s]
Best score: 0.1737: : 1014iter [01:44, 10.61iter/s]
Best score: 0.1737: : 1015iter [01:44, 10.82iter/s]
Best score: 0.1737: : 1015iter [01:44, 10.82iter/s]
Best score: 0.1737: : 1016iter [01:44, 10.82iter/s]
Best score: 0.1737: : 1017iter [01:44, 11.02iter/s]
Best score: 0.1737: : 1017iter [01:44, 11.02iter/s]
Best score: 0.1737: : 1018iter [01:44, 11.02iter/s]
Best score: 0.1737: : 1019iter [01:44, 11.11iter/s]
Best score: 0.1737: : 1019iter [01:44, 11.11iter/s]
Best score: 0.1737: : 1020iter [01:44, 11.11iter/s]
Best score: 0.1737: : 1021iter [01:44, 11.02iter/s]
Best score: 0.1737: : 1021iter [01:44, 11.02iter/s]
Best score: 0.1737: : 1022iter [01:45, 11.02iter/s]
Best score: 0.1737: : 1023iter [01:45, 11.14iter/s]
Best score: 0.1737: : 1023iter [01:45, 11.14iter/s]
Best score: 0.1737: : 1024iter [01:45, 11.14iter/s]
Best score: 0.1737: : 1025iter [01:45, 11.21iter/s]
Best score: 0.1737: : 1025iter [01:45, 11.21iter/s]
Best score: 0.1737: : 1026iter [01:45, 11.21iter/s]
Best score: 0.1737: : 1027iter [01:45, 11.27iter/s]
Best score: 0.1737: : 1027iter [01:45, 11.27iter/s]
Best score: 0.1737: : 1028iter [01:45, 11.27iter/s]
Best score: 0.1737: : 1029iter [01:45, 11.35iter/s]
Best score: 0.1737: : 1029iter [01:45, 11.35iter/s]
Best score: 0.1737: : 1030iter [01:45, 11.35iter/s]
Best score: 0.1737: : 1031iter [01:45, 11.18iter/s]
Best score: 0.1737: : 1031iter [01:45, 11.18iter/s]
Best score: 0.1737: : 1032iter [01:45, 11.18iter/s]
Best score: 0.1737: : 1033iter [01:45, 11.30iter/s]
Best score: 0.1737: : 1033iter [01:46, 11.30iter/s]
Best score: 0.1737: : 1034iter [01:46, 11.30iter/s]
Best score: 0.1737: : 1035iter [01:46, 11.40iter/s]
Best score: 0.1737: : 1035iter [01:46, 11.40iter/s]
Best score: 0.1737: : 1036iter [01:46, 11.40iter/s]
Best score: 0.1737: : 1037iter [01:46, 11.44iter/s]
Best score: 0.1737: : 1037iter [01:46, 11.44iter/s]
Best score: 0.1737: : 1038iter [01:46, 11.44iter/s]
Best score: 0.1737: : 1039iter [01:46, 11.45iter/s]
Best score: 0.1737: : 1039iter [01:46, 11.45iter/s]
Best score: 0.1737: : 1040iter [01:46, 11.45iter/s]
Best score: 0.1737: : 1041iter [01:46, 11.23iter/s]
Best score: 0.1737: : 1041iter [01:46, 11.23iter/s]
Best score: 0.1737: : 1042iter [01:46, 11.23iter/s]
Best score: 0.1737: : 1043iter [01:46, 11.32iter/s]
Best score: 0.1737: : 1043iter [01:46, 11.32iter/s]
Best score: 0.1737: : 1044iter [01:47, 11.32iter/s]
Best score: 0.1737: : 1045iter [01:47, 11.33iter/s]
Best score: 0.1737: : 1045iter [01:47, 11.33iter/s]
Best score: 0.1737: : 1046iter [01:47, 11.33iter/s]
Best score: 0.1737: : 1047iter [01:47, 11.43iter/s]
Best score: 0.1737: : 1047iter [01:47, 11.43iter/s]
Best score: 0.1737: : 1048iter [01:47, 11.43iter/s]
Best score: 0.1737: : 1049iter [01:47, 11.40iter/s]
[ITER 1050] Best: 0.1737
[PARAMS] Current best parameters:
  fx: 631.2932
  fy: 631.4210
  px: 894.9421
  py: 922.8451
  k1: -0.13744640
  k2: 0.06081628
  k3: -0.02272331
  k4: 0.00406848
  p1: -0.00915755
  p2: 0.00037541
  p3: 0.02181089
  p4: -0.01345900
  s1: -0.0237
  s2: 0.0146
  s3: -0.0289
  s4: 0.0159
  tilt_x: -0.0056
  tilt_y: -0.0248
  scale: 3.0053
  rotation: -0.8543

Best score: 0.1737: : 1049iter [01:47, 11.40iter/s]
Best score: 0.1737: : 1050iter [01:47, 11.40iter/s]
Best score: 0.1737: : 1051iter [01:47,  7.38iter/s]
Best score: 0.1737: : 1051iter [01:47,  7.38iter/s]
Best score: 0.1737: : 1052iter [01:48,  7.38iter/s]
Best score: 0.1737: : 1053iter [01:48,  8.23iter/s]
Best score: 0.1737: : 1053iter [01:48,  8.23iter/s]
Best score: 0.1737: : 1054iter [01:48,  8.23iter/s]
Best score: 0.1737: : 1055iter [01:48,  8.97iter/s]
Best score: 0.1737: : 1055iter [01:48,  8.97iter/s]
Best score: 0.1737: : 1056iter [01:48,  8.97iter/s]
Best score: 0.1737: : 1057iter [01:48,  9.56iter/s]
Best score: 0.1737: : 1057iter [01:48,  9.56iter/s]
Best score: 0.1737: : 1058iter [01:48,  9.56iter/s]
Best score: 0.1737: : 1059iter [01:48, 10.06iter/s]
Best score: 0.1737: : 1059iter [01:48, 10.06iter/s]
Best score: 0.1737: : 1060iter [01:48, 10.06iter/s]
Best score: 0.1737: : 1061iter [01:48, 10.31iter/s]
Best score: 0.1737: : 1061iter [01:48, 10.31iter/s]
Best score: 0.1737: : 1062iter [01:48, 10.31iter/s]
Best score: 0.1737: : 1063iter [01:48, 10.64iter/s]
Best score: 0.1737: : 1063iter [01:49, 10.64iter/s]
Best score: 0.1737: : 1064iter [01:49, 10.64iter/s]
Best score: 0.1737: : 1065iter [01:49, 10.92iter/s]
Best score: 0.1737: : 1065iter [01:49, 10.92iter/s]
Best score: 0.1737: : 1066iter [01:49, 10.92iter/s]
Best score: 0.1737: : 1067iter [01:49, 11.05iter/s]
Best score: 0.1737: : 1067iter [01:49, 11.05iter/s]
Best score: 0.1737: : 1068iter [01:49, 11.05iter/s]
Best score: 0.1737: : 1069iter [01:49, 11.18iter/s]
Best score: 0.1737: : 1069iter [01:49, 11.18iter/s]
Best score: 0.1737: : 1070iter [01:49, 11.18iter/s]
Best score: 0.1737: : 1071iter [01:49, 11.07iter/s]
Best score: 0.1737: : 1071iter [01:49, 11.07iter/s]
Best score: 0.1737: : 1072iter [01:49, 11.07iter/s]
Best score: 0.1737: : 1073iter [01:49, 11.23iter/s]
Best score: 0.1737: : 1073iter [01:49, 11.23iter/s]
Best score: 0.1737: : 1074iter [01:49, 11.23iter/s]
Best score: 0.1737: : 1075iter [01:49, 11.32iter/s]
Best score: 0.1737: : 1075iter [01:50, 11.32iter/s]
Best score: 0.1737: : 1076iter [01:50, 11.32iter/s]
Best score: 0.1737: : 1077iter [01:50, 11.31iter/s]
Best score: 0.1737: : 1077iter [01:50, 11.31iter/s]
Best score: 0.1737: : 1078iter [01:50, 11.31iter/s]
Best score: 0.1737: : 1079iter [01:50, 11.39iter/s]
Best score: 0.1737: : 1079iter [01:50, 11.39iter/s]
Best score: 0.1737: : 1080iter [01:50, 11.39iter/s]
Best score: 0.1737: : 1081iter [01:50, 11.20iter/s]
Best score: 0.1737: : 1081iter [01:50, 11.20iter/s]
Best score: 0.1737: : 1082iter [01:50, 11.20iter/s]
Best score: 0.1737: : 1083iter [01:50, 11.29iter/s]
Best score: 0.1737: : 1083iter [01:50, 11.29iter/s]
Best score: 0.1737: : 1084iter [01:50, 11.29iter/s]
Best score: 0.1737: : 1085iter [01:50, 11.32iter/s]
Best score: 0.1737: : 1085iter [01:50, 11.32iter/s]
Best score: 0.1737: : 1086iter [01:51, 11.32iter/s]
Best score: 0.1737: : 1087iter [01:51, 11.35iter/s]
Best score: 0.1737: : 1087iter [01:51, 11.35iter/s]
Best score: 0.1737: : 1088iter [01:51, 11.35iter/s]
Best score: 0.1737: : 1089iter [01:51, 11.36iter/s]
Best score: 0.1737: : 1089iter [01:51, 11.36iter/s]
Best score: 0.1737: : 1090iter [01:51, 11.36iter/s]
Best score: 0.1737: : 1091iter [01:51, 11.14iter/s]
Best score: 0.1737: : 1091iter [01:51, 11.14iter/s]
Best score: 0.1737: : 1092iter [01:51, 11.14iter/s]
Best score: 0.1737: : 1093iter [01:51, 11.19iter/s]
Best score: 0.1737: : 1093iter [01:51, 11.19iter/s]
Best score: 0.1737: : 1094iter [01:51, 11.19iter/s]
Best score: 0.1737: : 1095iter [01:51, 11.22iter/s]
Best score: 0.1737: : 1095iter [01:51, 11.22iter/s]
Best score: 0.1737: : 1096iter [01:51, 11.22iter/s]
Best score: 0.1737: : 1097iter [01:51, 11.30iter/s]
Best score: 0.1737: : 1097iter [01:52, 11.30iter/s]
Best score: 0.1737: : 1098iter [01:52, 11.30iter/s]
Best score: 0.1737: : 1099iter [01:52, 11.35iter/s]
[ITER 1100] Best: 0.1736
[PARAMS] Current best parameters:
  fx: 629.9667
  fy: 630.0961
  px: 895.1191
  py: 922.7439
  k1: -0.13671477
  k2: 0.06216687
  k3: -0.02415223
  k4: 0.00447395
  p1: -0.01075004
  p2: 0.00009328
  p3: 0.02452080
  p4: -0.01271218
  s1: -0.0258
  s2: 0.0136
  s3: -0.0301
  s4: 0.0152
  tilt_x: -0.0029
  tilt_y: -0.0264
  scale: 3.0064
  rotation: -0.8588

Best score: 0.1736: : 1099iter [01:52, 11.35iter/s]
Best score: 0.1736: : 1100iter [01:52,  9.78iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish did not improve score: 0.173609

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 102,249 → 95,919 within 3500mm ring
  Ring polish did not improve score: 0.173609
  Success: False
  Tangential distortion: p1=-0.010750, p2=0.000093, p3=0.024521, p4=-0.012712
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1736
[✅] Parameters copied to: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 629.966730949577
    fy: 630.0960772801659
    px: 895.1190805543779
    py: 922.7438655975159
    k1: -0.1367147742754793
    k2: 0.06216686957618868
    k3: -0.024152234508632547
    k4: 0.004473953728961111
    p1: -0.010750039865330026
    p2: 9.327991855004881e-05
    p3: 0.024520800151132296
    p4: -0.012712180706068117
    scale: 3.0063888097079814
    rotation: -0.8587828438649081
    mmpp: 3.4405931639904934

[🔄] Converting 1635 frames to PTD, creating debug images for 400 calibration frames...

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[✅] Saved PTDs: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/4_undistorted/output/ptd

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[✅] Saved PTDs: /working/MDCP3D-SL-009_W043(6)_2026-10-15/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.

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[✅] LUT written to: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDCP3D-SL-009_W043(6)_2026-10-15' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/MDCP3D-SL-009_W043(6)_2026-10-15_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%|          | 0/460 [00:00<?, ?frame/s]

   🔥 2000L:   2%|▏         | 7/460 [00:00<00:06, 68.89frame/s]

   🔥 2000L:   3%|▎         | 15/460 [00:00<00:05, 74.54frame/s]

   🔥 2000L:   5%|▌         | 23/460 [00:00<00:05, 76.42frame/s]

   🔥 2000L:   7%|▋         | 31/460 [00:00<00:05, 77.23frame/s]

   🔥 2000L:   9%|▊         | 40/460 [00:00<00:05, 78.72frame/s]

   🔥 2000L:  11%|█         | 49/460 [00:00<00:05, 80.70frame/s]

   🔥 2000L:  13%|█▎        | 58/460 [00:00<00:04, 82.56frame/s]

   🔥 2000L:  15%|█▍        | 67/460 [00:00<00:04, 84.44frame/s]

   🔥 2000L:  17%|█▋        | 76/460 [00:00<00:04, 84.17frame/s]

   🔥 2000L:  18%|█▊        | 85/460 [00:01<00:04, 83.85frame/s]

   🔥 2000L:  20%|██        | 94/460 [00:01<00:04, 84.72frame/s]

   🔥 2000L:  22%|██▏       | 103/460 [00:01<00:04, 85.22frame/s]

   🔥 2000L:  25%|██▍       | 113/460 [00:01<00:03, 87.38frame/s]

   🔥 2000L:  27%|██▋       | 122/460 [00:01<00:03, 87.82frame/s]

   🔥 2000L:  28%|██▊       | 131/460 [00:01<00:03, 87.02frame/s]

   🔥 2000L:  30%|███       | 140/460 [00:01<00:03, 86.41frame/s]

   🔥 2000L:  32%|███▏      | 149/460 [00:01<00:03, 85.94frame/s]

   🔥 2000L:  34%|███▍      | 158/460 [00:01<00:03, 86.49frame/s]

   🔥 2000L:  37%|███▋      | 168/460 [00:01<00:03, 87.67frame/s]

   🔥 2000L:  39%|███▊      | 178/460 [00:02<00:03, 89.33frame/s]

   🔥 2000L:  41%|████      | 188/460 [00:02<00:02, 90.93frame/s]

   🔥 2000L:  43%|████▎     | 198/460 [00:02<00:02, 89.76frame/s]

   🔥 2000L:  45%|████▌     | 207/460 [00:02<00:02, 89.38frame/s]

   🔥 2000L:  47%|████▋     | 216/460 [00:02<00:02, 88.32frame/s]

   🔥 2000L:  49%|████▉     | 226/460 [00:02<00:02, 89.10frame/s]

   🔥 2000L:  51%|█████▏    | 236/460 [00:02<00:02, 91.68frame/s]

   🔥 2000L:  53%|█████▎    | 246/460 [00:02<00:02, 92.40frame/s]

   🔥 2000L:  56%|█████▌    | 256/460 [00:02<00:02, 92.28frame/s]

   🔥 2000L:  58%|█████▊    | 266/460 [00:03<00:02, 91.77frame/s]

   🔥 2000L:  60%|██████    | 276/460 [00:03<00:01, 92.50frame/s]

   🔥 2000L:  62%|██████▏   | 286/460 [00:03<00:01, 93.72frame/s]

   🔥 2000L:  64%|██████▍   | 296/460 [00:03<00:01, 93.16frame/s]

   🔥 2000L:  67%|██████▋   | 306/460 [00:03<00:01, 91.19frame/s]

   🔥 2000L:  69%|██████▊   | 316/460 [00:03<00:01, 90.21frame/s]

   🔥 2000L:  71%|███████   | 326/460 [00:03<00:01, 88.80frame/s]

   🔥 2000L:  73%|███████▎  | 335/460 [00:03<00:01, 88.14frame/s]

   🔥 2000L:  75%|███████▌  | 345/460 [00:03<00:01, 89.34frame/s]

   🔥 2000L:  77%|███████▋  | 355/460 [00:04<00:01, 91.00frame/s]

   🔥 2000L:  79%|███████▉  | 365/460 [00:04<00:01, 93.32frame/s]

   🔥 2000L:  82%|████████▏ | 375/460 [00:04<00:00, 92.63frame/s]

   🔥 2000L:  84%|████████▎ | 385/460 [00:04<00:00, 89.49frame/s]

   🔥 2000L:  86%|████████▌ | 394/460 [00:04<00:00, 88.66frame/s]

   🔥 2000L:  88%|████████▊ | 403/460 [00:04<00:00, 87.39frame/s]

   🔥 2000L:  90%|████████▉ | 412/460 [00:04<00:00, 86.64frame/s]

   🔥 2000L:  92%|█████████▏| 421/460 [00:04<00:00, 84.86frame/s]

   🔥 2000L:  93%|█████████▎| 430/460 [00:04<00:00, 82.29frame/s]

   🔥 2000L:  95%|█████████▌| 439/460 [00:05<00:00, 80.86frame/s]

   🔥 2000L:  97%|█████████▋| 448/460 [00:05<00:00, 80.34frame/s]

   🔥 2000L:  99%|█████████▉| 457/460 [00:05<00:00, 79.90frame/s]

                                                                 [✅] 2000L: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:07<00:21,  7.33s/rig]

   🔥 1500:   0%|          | 0/422 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 9/422 [00:00<00:05, 81.21frame/s]

   🔥 1500:   5%|▍         | 19/422 [00:00<00:04, 86.47frame/s]

   🔥 1500:   7%|▋         | 28/422 [00:00<00:04, 86.26frame/s]

   🔥 1500:   9%|▉         | 38/422 [00:00<00:04, 88.65frame/s]

   🔥 1500:  11%|█         | 47/422 [00:00<00:04, 88.89frame/s]

   🔥 1500:  13%|█▎        | 56/422 [00:00<00:04, 87.34frame/s]

   🔥 1500:  15%|█▌        | 65/422 [00:00<00:04, 85.12frame/s]

   🔥 1500:  18%|█▊        | 74/422 [00:00<00:04, 82.74frame/s]

   🔥 1500:  20%|█▉        | 83/422 [00:00<00:04, 80.69frame/s]

   🔥 1500:  22%|██▏       | 92/422 [00:01<00:04, 79.23frame/s]

   🔥 1500:  24%|██▎       | 100/422 [00:01<00:04, 77.70frame/s]

   🔥 1500:  26%|██▌       | 108/422 [00:01<00:04, 77.24frame/s]

   🔥 1500:  27%|██▋       | 116/422 [00:01<00:03, 76.90frame/s]

   🔥 1500:  29%|██▉       | 124/422 [00:01<00:03, 75.97frame/s]

   🔥 1500:  31%|███▏      | 132/422 [00:01<00:03, 75.21frame/s]

   🔥 1500:  33%|███▎      | 140/422 [00:01<00:03, 74.36frame/s]

   🔥 1500:  35%|███▌      | 148/422 [00:01<00:03, 74.02frame/s]

   🔥 1500:  37%|███▋      | 156/422 [00:01<00:03, 74.46frame/s]

   🔥 1500:  39%|███▉      | 164/422 [00:02<00:03, 74.34frame/s]

   🔥 1500:  41%|████      | 172/422 [00:02<00:03, 73.83frame/s]

   🔥 1500:  43%|████▎     | 180/422 [00:02<00:03, 73.44frame/s]

   🔥 1500:  45%|████▍     | 188/422 [00:02<00:03, 73.59frame/s]

   🔥 1500:  46%|████▋     | 196/422 [00:02<00:03, 73.95frame/s]

   🔥 1500:  48%|████▊     | 204/422 [00:02<00:02, 74.72frame/s]

   🔥 1500:  50%|█████     | 212/422 [00:02<00:02, 75.59frame/s]

   🔥 1500:  52%|█████▏    | 221/422 [00:02<00:02, 77.31frame/s]

   🔥 1500:  55%|█████▍    | 230/422 [00:02<00:02, 79.97frame/s]

   🔥 1500:  57%|█████▋    | 239/422 [00:03<00:02, 82.41frame/s]

   🔥 1500:  59%|█████▉    | 248/422 [00:03<00:02, 83.21frame/s]

   🔥 1500:  61%|██████    | 257/422 [00:03<00:01, 83.52frame/s]

   🔥 1500:  63%|██████▎   | 266/422 [00:03<00:01, 82.70frame/s]

   🔥 1500:  65%|██████▌   | 275/422 [00:03<00:01, 82.17frame/s]

   🔥 1500:  67%|██████▋   | 284/422 [00:03<00:01, 81.64frame/s]

   🔥 1500:  69%|██████▉   | 293/422 [00:03<00:01, 80.13frame/s]

   🔥 1500:  72%|███████▏  | 302/422 [00:03<00:01, 77.97frame/s]

   🔥 1500:  74%|███████▎  | 311/422 [00:03<00:01, 79.96frame/s]

   🔥 1500:  76%|███████▌  | 320/422 [00:04<00:01, 82.02frame/s]

   🔥 1500:  78%|███████▊  | 329/422 [00:04<00:01, 82.84frame/s]

   🔥 1500:  80%|████████  | 338/422 [00:04<00:01, 83.71frame/s]

   🔥 1500:  82%|████████▏ | 347/422 [00:04<00:00, 83.71frame/s]

   🔥 1500:  84%|████████▍ | 356/422 [00:04<00:00, 83.83frame/s]

   🔥 1500:  86%|████████▋ | 365/422 [00:04<00:00, 83.78frame/s]

   🔥 1500:  89%|████████▊ | 374/422 [00:04<00:00, 84.60frame/s]

   🔥 1500:  91%|█████████ | 384/422 [00:04<00:00, 86.59frame/s]

   🔥 1500:  93%|█████████▎| 393/422 [00:04<00:00, 86.71frame/s]

   🔥 1500:  95%|█████████▌| 402/422 [00:04<00:00, 86.20frame/s]

   🔥 1500:  97%|█████████▋| 411/422 [00:05<00:00, 85.87frame/s]

   🔥 1500: 100%|█████████▉| 420/422 [00:05<00:00, 86.03frame/s]

                                                                [✅] 1500: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:14<00:13,  6.98s/rig]

   🔥 1000:   0%|          | 0/283 [00:00<?, ?frame/s]

   🔥 1000:   3%|▎         | 8/283 [00:00<00:03, 79.23frame/s]

   🔥 1000:   6%|▌         | 17/283 [00:00<00:03, 82.21frame/s]

   🔥 1000:   9%|▉         | 26/283 [00:00<00:03, 84.07frame/s]

   🔥 1000:  12%|█▏        | 35/283 [00:00<00:02, 84.74frame/s]

   🔥 1000:  16%|█▌        | 44/283 [00:00<00:02, 84.66frame/s]

   🔥 1000:  19%|█▊        | 53/283 [00:00<00:02, 84.90frame/s]

   🔥 1000:  22%|██▏       | 62/283 [00:00<00:02, 85.82frame/s]

   🔥 1000:  25%|██▌       | 72/283 [00:00<00:02, 88.02frame/s]

   🔥 1000:  29%|██▉       | 82/283 [00:00<00:02, 88.75frame/s]

   🔥 1000:  33%|███▎      | 92/283 [00:01<00:02, 89.26frame/s]

   🔥 1000:  36%|███▌      | 102/283 [00:01<00:01, 91.13frame/s]

   🔥 1000:  40%|███▉      | 112/283 [00:01<00:01, 92.59frame/s]

   🔥 1000:  43%|████▎     | 122/283 [00:01<00:01, 91.91frame/s]

   🔥 1000:  47%|████▋     | 132/283 [00:01<00:01, 91.17frame/s]

   🔥 1000:  50%|█████     | 142/283 [00:01<00:01, 90.02frame/s]

   🔥 1000:  54%|█████▎    | 152/283 [00:01<00:01, 89.69frame/s]

   🔥 1000:  57%|█████▋    | 161/283 [00:01<00:01, 88.86frame/s]

   🔥 1000:  60%|██████    | 170/283 [00:01<00:01, 87.17frame/s]

   🔥 1000:  63%|██████▎   | 179/283 [00:02<00:01, 85.62frame/s]

   🔥 1000:  66%|██████▋   | 188/283 [00:02<00:01, 83.70frame/s]

   🔥 1000:  70%|██████▉   | 197/283 [00:02<00:01, 83.04frame/s]

   🔥 1000:  73%|███████▎  | 206/283 [00:02<00:00, 82.80frame/s]

   🔥 1000:  76%|███████▌  | 215/283 [00:02<00:00, 82.02frame/s]

   🔥 1000:  79%|███████▉  | 224/283 [00:02<00:00, 81.57frame/s]

   🔥 1000:  82%|████████▏ | 233/283 [00:02<00:00, 81.76frame/s]

   🔥 1000:  86%|████████▌ | 242/283 [00:02<00:00, 83.36frame/s]

   🔥 1000:  89%|████████▊ | 251/283 [00:02<00:00, 84.53frame/s]

   🔥 1000:  92%|█████████▏| 260/283 [00:03<00:00, 85.03frame/s]

   🔥 1000:  95%|█████████▌| 269/283 [00:03<00:00, 84.89frame/s]

   🔥 1000:  98%|█████████▊| 278/283 [00:03<00:00, 83.70frame/s]

                                                                [✅] 1000: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:18<00:05,  5.63s/rig]

   🔥 2000R:   0%|          | 0/470 [00:00<?, ?frame/s]

   🔥 2000R:   2%|▏         | 8/470 [00:00<00:06, 75.61frame/s]

   🔥 2000R:   3%|▎         | 16/470 [00:00<00:05, 77.60frame/s]

   🔥 2000R:   5%|▌         | 25/470 [00:00<00:05, 79.06frame/s]

   🔥 2000R:   7%|▋         | 33/470 [00:00<00:05, 78.67frame/s]

   🔥 2000R:   9%|▉         | 42/470 [00:00<00:05, 80.71frame/s]

   🔥 2000R:  11%|█         | 51/470 [00:00<00:05, 82.14frame/s]

   🔥 2000R:  13%|█▎        | 60/470 [00:00<00:04, 84.06frame/s]

   🔥 2000R:  15%|█▍        | 69/470 [00:00<00:04, 83.59frame/s]

   🔥 2000R:  17%|█▋        | 78/470 [00:00<00:04, 80.66frame/s]

   🔥 2000R:  19%|█▊        | 87/470 [00:01<00:04, 81.12frame/s]

   🔥 2000R:  20%|██        | 96/470 [00:01<00:04, 81.94frame/s]

   🔥 2000R:  22%|██▏       | 105/470 [00:01<00:04, 82.23frame/s]

   🔥 2000R:  24%|██▍       | 114/470 [00:01<00:04, 82.25frame/s]

   🔥 2000R:  26%|██▌       | 123/470 [00:01<00:04, 81.55frame/s]

   🔥 2000R:  28%|██▊       | 132/470 [00:01<00:04, 80.45frame/s]

   🔥 2000R:  30%|███       | 141/470 [00:01<00:04, 79.84frame/s]

   🔥 2000R:  32%|███▏      | 149/470 [00:01<00:04, 79.56frame/s]

   🔥 2000R:  34%|███▎      | 158/470 [00:01<00:03, 80.23frame/s]

   🔥 2000R:  36%|███▌      | 167/470 [00:02<00:03, 81.73frame/s]

   🔥 2000R:  37%|███▋      | 176/470 [00:02<00:03, 82.77frame/s]

   🔥 2000R:  40%|███▉      | 186/470 [00:02<00:03, 85.26frame/s]

   🔥 2000R:  42%|████▏     | 196/470 [00:02<00:03, 86.88frame/s]

   🔥 2000R:  44%|████▎     | 205/470 [00:02<00:03, 86.90frame/s]

   🔥 2000R:  46%|████▌     | 214/470 [00:02<00:02, 87.49frame/s]

   🔥 2000R:  47%|████▋     | 223/470 [00:02<00:02, 87.85frame/s]

   🔥 2000R:  50%|████▉     | 233/470 [00:02<00:02, 89.76frame/s]

   🔥 2000R:  52%|█████▏    | 243/470 [00:02<00:02, 90.04frame/s]

   🔥 2000R:  54%|█████▍    | 253/470 [00:03<00:02, 90.49frame/s]

   🔥 2000R:  56%|█████▌    | 263/470 [00:03<00:02, 90.95frame/s]

   🔥 2000R:  58%|█████▊    | 273/470 [00:03<00:02, 92.07frame/s]

   🔥 2000R:  60%|██████    | 283/470 [00:03<00:01, 93.64frame/s]

   🔥 2000R:  62%|██████▏   | 293/470 [00:03<00:01, 94.12frame/s]

   🔥 2000R:  64%|██████▍   | 303/470 [00:03<00:01, 93.48frame/s]

   🔥 2000R:  67%|██████▋   | 313/470 [00:03<00:01, 91.96frame/s]

   🔥 2000R:  69%|██████▊   | 323/470 [00:03<00:01, 90.54frame/s]

   🔥 2000R:  71%|███████   | 333/470 [00:03<00:01, 89.61frame/s]

   🔥 2000R:  73%|███████▎  | 342/470 [00:03<00:01, 88.57frame/s]

   🔥 2000R:  75%|███████▍  | 351/470 [00:04<00:01, 88.84frame/s]

   🔥 2000R:  77%|███████▋  | 361/470 [00:04<00:01, 90.33frame/s]

   🔥 2000R:  79%|███████▉  | 371/470 [00:04<00:01, 92.63frame/s]

   🔥 2000R:  81%|████████  | 381/470 [00:04<00:00, 94.19frame/s]

   🔥 2000R:  83%|████████▎ | 391/470 [00:04<00:00, 93.09frame/s]

   🔥 2000R:  85%|████████▌ | 401/470 [00:04<00:00, 90.71frame/s]

   🔥 2000R:  87%|████████▋ | 411/470 [00:04<00:00, 88.55frame/s]

   🔥 2000R:  89%|████████▉ | 420/470 [00:04<00:00, 87.83frame/s]

   🔥 2000R:  91%|█████████▏| 429/470 [00:04<00:00, 87.10frame/s]

   🔥 2000R:  93%|█████████▎| 438/470 [00:05<00:00, 85.06frame/s]

   🔥 2000R:  95%|█████████▌| 447/470 [00:05<00:00, 83.58frame/s]

   🔥 2000R:  97%|█████████▋| 456/470 [00:05<00:00, 82.75frame/s]

   🔥 2000R:  99%|█████████▉| 465/470 [00:05<00:00, 81.85frame/s]

                                                                 [✅] 2000R: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:25<00:00,  6.32s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:25<00:00,  6.37s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDCP3D-SL-009_W043(6)_2026-10-15/calibration/debug/5_heatmap
[🏁] Finished processing MDCP3D-SL-009_W043(6)_2026-10-15


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