
🟢 Starting Calibration Pipeline

=== Processing STLC-083WF_W028(6)_2026-02-04 ===

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

[🔄] Full PTD mode: Processing ALL images then creating calibration subset
[📸] Digitizing ALL images...
[📸] Full dataset mode: Processing ALL images (no debug visualizations)
[INFO] Found 4 las0.zip files to process
Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 570 stationary frames, 594 remain

→ 2000R (594 images) Phase 1:   0%|          | 0/594 [00:00<?, ?it/s][A
→ 2000R (594 images) Phase 1:   0%|          | 1/594 [00:00<04:23,  2.25it/s][A
→ 2000R (594 images) Phase 1:   0%|          | 2/594 [00:00<02:48,  3.51it/s][A
→ 2000R (594 images) Phase 1:   6%|▌         | 33/594 [00:00<00:09, 57.07it/s][A
→ 2000R (594 images) Phase 1:   7%|▋         | 40/594 [00:01<00:11, 46.42it/s][A
→ 2000R (594 images) Phase 1:  10%|█         | 60/594 [00:01<00:07, 74.32it/s][A
→ 2000R (594 images) Phase 1:  12%|█▏        | 71/594 [00:01<00:10, 49.05it/s][A
→ 2000R (594 images) Phase 1:  14%|█▍        | 82/594 [00:01<00:08, 58.04it/s][A
→ 2000R (594 images) Phase 1:  16%|█▋        | 98/594 [00:01<00:08, 60.01it/s][A
→ 2000R (594 images) Phase 1:  18%|█▊        | 106/594 [00:02<00:07, 62.30it/s][A
→ 2000R (594 images) Phase 1:  19%|█▉        | 114/594 [00:02<00:07, 65.21it/s][A
→ 2000R (594 images) Phase 1:  22%|██▏       | 130/594 [00:02<00:07, 65.09it/s][A
→ 2000R (594 images) Phase 1:  23%|██▎       | 138/594 [00:02<00:06, 65.87it/s][A
→ 2000R (594 images) Phase 1:  25%|██▍       | 147/594 [00:02<00:06, 70.34it/s][A
→ 2000R (594 images) Phase 1:  27%|██▋       | 162/594 [00:02<00:06, 67.34it/s][A
→ 2000R (594 images) Phase 1:  29%|██▊       | 170/594 [00:02<00:06, 67.97it/s][A
→ 2000R (594 images) Phase 1:  30%|██▉       | 178/594 [00:03<00:05, 70.40it/s][A
→ 2000R (594 images) Phase 1:  33%|███▎      | 194/594 [00:03<00:05, 69.17it/s][A
→ 2000R (594 images) Phase 1:  34%|███▍      | 202/594 [00:03<00:05, 68.87it/s][A
→ 2000R (594 images) Phase 1:  35%|███▌      | 210/594 [00:03<00:05, 69.91it/s][A
→ 2000R (594 images) Phase 1:  38%|███▊      | 226/594 [00:03<00:05, 69.89it/s][A
→ 2000R (594 images) Phase 1:  39%|███▉      | 234/594 [00:03<00:05, 66.98it/s][A
→ 2000R (594 images) Phase 1:  41%|████      | 244/594 [00:04<00:04, 73.78it/s][A
→ 2000R (594 images) Phase 1:  43%|████▎     | 258/594 [00:04<00:04, 69.81it/s][A
→ 2000R (594 images) Phase 1:  45%|████▍     | 266/594 [00:04<00:05, 65.38it/s][A
→ 2000R (594 images) Phase 1:  47%|████▋     | 278/594 [00:04<00:04, 76.70it/s][A
→ 2000R (594 images) Phase 1:  49%|████▉     | 290/594 [00:04<00:04, 68.73it/s][A
→ 2000R (594 images) Phase 1:  50%|█████     | 298/594 [00:04<00:04, 66.21it/s][A
→ 2000R (594 images) Phase 1:  52%|█████▏    | 306/594 [00:04<00:04, 67.66it/s][A
→ 2000R (594 images) Phase 1:  54%|█████▍    | 322/594 [00:05<00:03, 71.12it/s][A
→ 2000R (594 images) Phase 1:  56%|█████▌    | 330/594 [00:05<00:03, 67.42it/s][A
→ 2000R (594 images) Phase 1:  57%|█████▋    | 337/594 [00:05<00:03, 67.93it/s][A
→ 2000R (594 images) Phase 1:  60%|█████▉    | 354/594 [00:05<00:03, 71.98it/s][A
→ 2000R (594 images) Phase 1:  61%|██████    | 362/594 [00:05<00:03, 67.24it/s][A
→ 2000R (594 images) Phase 1:  62%|██████▏   | 371/594 [00:05<00:03, 71.34it/s][A
→ 2000R (594 images) Phase 1:  65%|██████▍   | 386/594 [00:06<00:02, 71.27it/s][A
→ 2000R (594 images) Phase 1:  66%|██████▋   | 394/594 [00:06<00:02, 67.22it/s][A
→ 2000R (594 images) Phase 1:  68%|██████▊   | 402/594 [00:06<00:02, 69.91it/s][A
→ 2000R (594 images) Phase 1:  70%|███████   | 418/594 [00:06<00:02, 71.53it/s][A
→ 2000R (594 images) Phase 1:  72%|███████▏  | 426/594 [00:06<00:02, 68.37it/s][A
→ 2000R (594 images) Phase 1:  73%|███████▎  | 434/594 [00:06<00:02, 70.80it/s][A
→ 2000R (594 images) Phase 1:  76%|███████▌  | 449/594 [00:06<00:01, 86.53it/s][A
→ 2000R (594 images) Phase 1:  77%|███████▋  | 458/594 [00:07<00:02, 65.05it/s][A
→ 2000R (594 images) Phase 1:  78%|███████▊  | 466/594 [00:07<00:01, 65.61it/s][A
→ 2000R (594 images) Phase 1:  81%|████████  | 481/594 [00:07<00:01, 82.63it/s][A
→ 2000R (594 images) Phase 1:  83%|████████▎ | 491/594 [00:07<00:01, 63.01it/s][A
→ 2000R (594 images) Phase 1:  84%|████████▍ | 499/594 [00:07<00:01, 63.79it/s][A
→ 2000R (594 images) Phase 1:  87%|████████▋ | 514/594 [00:07<00:01, 70.64it/s][A
→ 2000R (594 images) Phase 1:  88%|████████▊ | 522/594 [00:08<00:01, 69.08it/s][A
→ 2000R (594 images) Phase 1:  89%|████████▉ | 530/594 [00:08<00:00, 66.91it/s][A
→ 2000R (594 images) Phase 1:  92%|█████████▏| 545/594 [00:08<00:00, 81.90it/s][A
→ 2000R (594 images) Phase 1:  93%|█████████▎| 554/594 [00:08<00:00, 68.47it/s][A
→ 2000R (594 images) Phase 1:  95%|█████████▍| 562/594 [00:08<00:00, 64.01it/s][A
→ 2000R (594 images) Phase 1:  97%|█████████▋| 577/594 [00:08<00:00, 80.85it/s][A
→ 2000R (594 images) Phase 1:  99%|█████████▊| 586/594 [00:08<00:00, 77.54it/s][A
                                                                               [A
→ 2000R Phase 2: corners:   0%|          | 0/593 [00:00<?, ?it/s][A
→ 2000R Phase 2: corners:   0%|          | 1/593 [00:00<01:55,  5.13it/s][A
→ 2000R Phase 2: corners:   3%|▎         | 17/593 [00:00<00:08, 69.89it/s][A
→ 2000R Phase 2: corners:   5%|▍         | 28/593 [00:00<00:07, 78.42it/s][A
→ 2000R Phase 2: corners:   7%|▋         | 43/593 [00:00<00:05, 98.34it/s][A
→ 2000R Phase 2: corners:   9%|▉         | 55/593 [00:00<00:05, 104.84it/s][A
→ 2000R Phase 2: corners:  11%|█▏        | 67/593 [00:00<00:05, 104.93it/s][A
→ 2000R Phase 2: corners:  14%|█▎        | 81/593 [00:00<00:04, 113.81it/s][A
→ 2000R Phase 2: corners:  17%|█▋        | 98/593 [00:00<00:03, 129.57it/s][A
→ 2000R Phase 2: corners:  19%|█▉        | 112/593 [00:01<00:03, 124.94it/s][A
→ 2000R Phase 2: corners:  21%|██        | 126/593 [00:01<00:03, 128.99it/s][A
→ 2000R Phase 2: corners:  24%|██▎       | 140/593 [00:01<00:03, 123.26it/s][A
→ 2000R Phase 2: corners:  26%|██▌       | 154/593 [00:01<00:03, 126.59it/s][A
→ 2000R Phase 2: corners:  28%|██▊       | 169/593 [00:01<00:03, 130.96it/s][A
→ 2000R Phase 2: corners:  32%|███▏      | 187/593 [00:01<00:02, 142.35it/s][A
→ 2000R Phase 2: corners:  34%|███▍      | 202/593 [00:01<00:02, 139.53it/s][A
→ 2000R Phase 2: corners:  37%|███▋      | 217/593 [00:01<00:02, 134.20it/s][A
→ 2000R Phase 2: corners:  39%|███▉      | 231/593 [00:01<00:02, 135.26it/s][A
→ 2000R Phase 2: corners:  42%|████▏     | 248/593 [00:02<00:02, 141.09it/s][A
→ 2000R Phase 2: corners:  45%|████▍     | 266/593 [00:02<00:02, 151.35it/s][A
→ 2000R Phase 2: corners:  48%|████▊     | 282/593 [00:02<00:02, 145.43it/s][A
→ 2000R Phase 2: corners:  50%|█████     | 298/593 [00:02<00:01, 147.70it/s][A
→ 2000R Phase 2: corners:  53%|█████▎    | 313/593 [00:02<00:01, 141.66it/s][A
→ 2000R Phase 2: corners:  56%|█████▌    | 330/593 [00:02<00:01, 146.47it/s][A
→ 2000R Phase 2: corners:  58%|█████▊    | 345/593 [00:02<00:01, 142.70it/s][A
→ 2000R Phase 2: corners:  61%|██████    | 360/593 [00:02<00:01, 138.90it/s][A
→ 2000R Phase 2: corners:  63%|██████▎   | 374/593 [00:02<00:01, 132.55it/s][A
→ 2000R Phase 2: corners:  66%|██████▌   | 390/593 [00:03<00:01, 139.65it/s][A
→ 2000R Phase 2: corners:  68%|██████▊   | 406/593 [00:03<00:01, 144.37it/s][A
→ 2000R Phase 2: corners:  72%|███████▏  | 424/593 [00:03<00:01, 151.98it/s][A
→ 2000R Phase 2: corners:  74%|███████▍  | 440/593 [00:03<00:01, 146.44it/s][A
→ 2000R Phase 2: corners:  77%|███████▋  | 456/593 [00:03<00:00, 146.90it/s][A
→ 2000R Phase 2: corners:  80%|███████▉  | 472/593 [00:03<00:00, 149.01it/s][A
→ 2000R Phase 2: corners:  82%|████████▏ | 487/593 [00:03<00:00, 144.91it/s][A
→ 2000R Phase 2: corners:  85%|████████▍ | 502/593 [00:03<00:00, 145.86it/s][A
→ 2000R Phase 2: corners:  87%|████████▋ | 517/593 [00:03<00:00, 146.17it/s][A
→ 2000R Phase 2: corners:  90%|████████▉ | 532/593 [00:04<00:00, 143.41it/s][A
→ 2000R Phase 2: corners:  93%|█████████▎| 549/593 [00:04<00:00, 150.57it/s][A
→ 2000R Phase 2: corners:  95%|█████████▌| 565/593 [00:04<00:00, 151.85it/s][A
                                                                            [A[PASS2] Frame 0000549: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000550: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000551: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000552: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000939: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000940: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000941: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000954: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000955: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000956: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000957: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000990: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000991: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000992: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000993: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001249: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001250: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001251: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001252: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000551: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000956: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000992: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001251: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 10 frames fixed, 11 untrusted, 593 total

→ 2000R Phase 3: finalize:   0%|          | 0/593 [00:00<?, ?it/s][A
→ 2000R Phase 3: finalize:   1%|          | 5/593 [00:00<00:12, 46.36it/s][A
→ 2000R Phase 3: finalize:   2%|▏         | 10/593 [00:00<00:12, 47.88it/s][A
→ 2000R Phase 3: finalize:   3%|▎         | 16/593 [00:00<00:11, 49.00it/s][A
→ 2000R Phase 3: finalize:   4%|▎         | 22/593 [00:00<00:11, 49.45it/s][A
→ 2000R Phase 3: finalize:   5%|▍         | 27/593 [00:00<00:11, 49.62it/s][A
→ 2000R Phase 3: finalize:   5%|▌         | 32/593 [00:00<00:11, 49.49it/s][A
→ 2000R Phase 3: finalize:   6%|▋         | 38/593 [00:00<00:11, 49.88it/s][A
→ 2000R Phase 3: finalize:   7%|▋         | 44/593 [00:00<00:10, 50.08it/s][A
→ 2000R Phase 3: finalize:   8%|▊         | 50/593 [00:01<00:10, 50.39it/s][A
→ 2000R Phase 3: finalize:   9%|▉         | 56/593 [00:01<00:10, 50.44it/s][A
→ 2000R Phase 3: finalize:  10%|█         | 62/593 [00:01<00:10, 50.40it/s][A
→ 2000R Phase 3: finalize:  11%|█▏        | 68/593 [00:01<00:10, 49.78it/s][A
→ 2000R Phase 3: finalize:  12%|█▏        | 73/593 [00:01<00:10, 49.72it/s][A
→ 2000R Phase 3: finalize:  13%|█▎        | 79/593 [00:01<00:10, 49.90it/s][A
→ 2000R Phase 3: finalize:  14%|█▍        | 85/593 [00:01<00:10, 49.97it/s][A
→ 2000R Phase 3: finalize:  15%|█▌        | 91/593 [00:01<00:10, 50.09it/s][A
→ 2000R Phase 3: finalize:  16%|█▋        | 97/593 [00:01<00:09, 50.19it/s][A
→ 2000R Phase 3: finalize:  17%|█▋        | 103/593 [00:02<00:09, 50.28it/s][A
→ 2000R Phase 3: finalize:  18%|█▊        | 109/593 [00:02<00:09, 50.32it/s][A
→ 2000R Phase 3: finalize:  19%|█▉        | 115/593 [00:02<00:09, 50.36it/s][A
→ 2000R Phase 3: finalize:  20%|██        | 121/593 [00:02<00:09, 50.51it/s][A
→ 2000R Phase 3: finalize:  21%|██▏       | 127/593 [00:02<00:09, 50.65it/s][A
→ 2000R Phase 3: finalize:  22%|██▏       | 133/593 [00:02<00:09, 50.60it/s][A
→ 2000R Phase 3: finalize:  23%|██▎       | 139/593 [00:02<00:08, 50.52it/s][A
→ 2000R Phase 3: finalize:  24%|██▍       | 145/593 [00:02<00:08, 50.47it/s][A
→ 2000R Phase 3: finalize:  25%|██▌       | 151/593 [00:03<00:08, 50.49it/s][A
→ 2000R Phase 3: finalize:  26%|██▋       | 157/593 [00:03<00:08, 50.42it/s][A
→ 2000R Phase 3: finalize:  27%|██▋       | 163/593 [00:03<00:08, 50.38it/s][A
→ 2000R Phase 3: finalize:  28%|██▊       | 169/593 [00:03<00:08, 50.43it/s][A
→ 2000R Phase 3: finalize:  30%|██▉       | 175/593 [00:03<00:08, 50.63it/s][A
→ 2000R Phase 3: finalize:  31%|███       | 181/593 [00:03<00:08, 50.66it/s][A
→ 2000R Phase 3: finalize:  32%|███▏      | 187/593 [00:03<00:08, 50.52it/s][A
→ 2000R Phase 3: finalize:  33%|███▎      | 193/593 [00:03<00:07, 50.22it/s][A
→ 2000R Phase 3: finalize:  34%|███▎      | 199/593 [00:03<00:07, 50.27it/s][A
→ 2000R Phase 3: finalize:  35%|███▍      | 205/593 [00:04<00:07, 50.55it/s][A
→ 2000R Phase 3: finalize:  36%|███▌      | 211/593 [00:04<00:07, 50.78it/s][A
→ 2000R Phase 3: finalize:  37%|███▋      | 217/593 [00:04<00:07, 50.83it/s][A
→ 2000R Phase 3: finalize:  38%|███▊      | 223/593 [00:04<00:07, 50.79it/s][A
→ 2000R Phase 3: finalize:  39%|███▊      | 229/593 [00:04<00:07, 50.55it/s][A
→ 2000R Phase 3: finalize:  40%|███▉      | 235/593 [00:04<00:07, 50.19it/s][A
→ 2000R Phase 3: finalize:  41%|████      | 241/593 [00:04<00:06, 50.35it/s][A
→ 2000R Phase 3: finalize:  42%|████▏     | 247/593 [00:04<00:06, 50.44it/s][A
→ 2000R Phase 3: finalize:  43%|████▎     | 253/593 [00:05<00:06, 50.48it/s][A
→ 2000R Phase 3: finalize:  44%|████▎     | 259/593 [00:05<00:06, 50.47it/s][A
→ 2000R Phase 3: finalize:  45%|████▍     | 265/593 [00:05<00:06, 50.48it/s][A
→ 2000R Phase 3: finalize:  46%|████▌     | 271/593 [00:05<00:06, 50.37it/s][A
→ 2000R Phase 3: finalize:  47%|████▋     | 277/593 [00:05<00:06, 50.32it/s][A
→ 2000R Phase 3: finalize:  48%|████▊     | 283/593 [00:05<00:06, 50.34it/s][A
→ 2000R Phase 3: finalize:  49%|████▊     | 289/593 [00:05<00:06, 50.43it/s][A
→ 2000R Phase 3: finalize:  50%|████▉     | 295/593 [00:05<00:05, 50.54it/s][A
→ 2000R Phase 3: finalize:  51%|█████     | 301/593 [00:05<00:05, 50.61it/s][A
→ 2000R Phase 3: finalize:  52%|█████▏    | 307/593 [00:06<00:05, 50.60it/s][A
→ 2000R Phase 3: finalize:  53%|█████▎    | 313/593 [00:06<00:05, 50.41it/s][A
→ 2000R Phase 3: finalize:  54%|█████▍    | 319/593 [00:06<00:05, 50.39it/s][A
→ 2000R Phase 3: finalize:  55%|█████▍    | 325/593 [00:06<00:05, 50.30it/s][A
→ 2000R Phase 3: finalize:  56%|█████▌    | 331/593 [00:06<00:05, 50.58it/s][A
→ 2000R Phase 3: finalize:  57%|█████▋    | 337/593 [00:06<00:05, 50.82it/s][A
→ 2000R Phase 3: finalize:  58%|█████▊    | 343/593 [00:06<00:04, 51.19it/s][A
→ 2000R Phase 3: finalize:  59%|█████▉    | 349/593 [00:06<00:04, 51.57it/s][A
→ 2000R Phase 3: finalize:  60%|█████▉    | 355/593 [00:07<00:04, 51.92it/s][A
→ 2000R Phase 3: finalize:  61%|██████    | 361/593 [00:07<00:04, 52.12it/s][A
→ 2000R Phase 3: finalize:  62%|██████▏   | 367/593 [00:07<00:04, 52.40it/s][A
→ 2000R Phase 3: finalize:  63%|██████▎   | 373/593 [00:07<00:04, 52.52it/s][A
→ 2000R Phase 3: finalize:  64%|██████▍   | 379/593 [00:07<00:04, 52.60it/s][A
→ 2000R Phase 3: finalize:  65%|██████▍   | 385/593 [00:07<00:03, 52.72it/s][A
→ 2000R Phase 3: finalize:  66%|██████▌   | 391/593 [00:07<00:03, 52.85it/s][A
→ 2000R Phase 3: finalize:  67%|██████▋   | 397/593 [00:07<00:03, 53.04it/s][A
→ 2000R Phase 3: finalize:  68%|██████▊   | 403/593 [00:07<00:03, 53.09it/s][A
→ 2000R Phase 3: finalize:  69%|██████▉   | 409/593 [00:08<00:03, 53.13it/s][A
→ 2000R Phase 3: finalize:  70%|██████▉   | 415/593 [00:08<00:03, 53.24it/s][A
→ 2000R Phase 3: finalize:  71%|███████   | 421/593 [00:08<00:03, 53.23it/s][A
→ 2000R Phase 3: finalize:  72%|███████▏  | 427/593 [00:08<00:03, 53.18it/s][A
→ 2000R Phase 3: finalize:  73%|███████▎  | 433/593 [00:08<00:03, 53.18it/s][A
→ 2000R Phase 3: finalize:  74%|███████▍  | 439/593 [00:08<00:02, 53.03it/s][A
→ 2000R Phase 3: finalize:  75%|███████▌  | 445/593 [00:08<00:02, 53.03it/s][A
→ 2000R Phase 3: finalize:  76%|███████▌  | 451/593 [00:08<00:02, 53.08it/s][A
→ 2000R Phase 3: finalize:  77%|███████▋  | 457/593 [00:08<00:02, 53.06it/s][A
→ 2000R Phase 3: finalize:  78%|███████▊  | 463/593 [00:09<00:02, 52.70it/s][A
→ 2000R Phase 3: finalize:  79%|███████▉  | 469/593 [00:09<00:02, 52.36it/s][A
→ 2000R Phase 3: finalize:  80%|████████  | 475/593 [00:09<00:02, 51.88it/s][A
→ 2000R Phase 3: finalize:  81%|████████  | 481/593 [00:09<00:02, 51.48it/s][A
→ 2000R Phase 3: finalize:  82%|████████▏ | 487/593 [00:09<00:02, 51.15it/s][A
→ 2000R Phase 3: finalize:  83%|████████▎ | 493/593 [00:09<00:01, 50.80it/s][A
→ 2000R Phase 3: finalize:  84%|████████▍ | 499/593 [00:09<00:01, 50.50it/s][A
→ 2000R Phase 3: finalize:  85%|████████▌ | 505/593 [00:09<00:01, 50.30it/s][A
→ 2000R Phase 3: finalize:  86%|████████▌ | 511/593 [00:10<00:01, 50.33it/s][A
→ 2000R Phase 3: finalize:  87%|████████▋ | 517/593 [00:10<00:01, 50.27it/s][A
→ 2000R Phase 3: finalize:  88%|████████▊ | 523/593 [00:10<00:01, 50.34it/s][A
→ 2000R Phase 3: finalize:  89%|████████▉ | 529/593 [00:10<00:01, 50.41it/s][A
→ 2000R Phase 3: finalize:  90%|█████████ | 535/593 [00:10<00:01, 50.37it/s][A
→ 2000R Phase 3: finalize:  91%|█████████ | 541/593 [00:10<00:01, 50.38it/s][A
→ 2000R Phase 3: finalize:  92%|█████████▏| 547/593 [00:10<00:00, 50.44it/s][A
→ 2000R Phase 3: finalize:  93%|█████████▎| 553/593 [00:10<00:00, 50.50it/s][A
→ 2000R Phase 3: finalize:  94%|█████████▍| 559/593 [00:10<00:00, 50.55it/s][A
→ 2000R Phase 3: finalize:  95%|█████████▌| 565/593 [00:11<00:00, 50.65it/s][A
→ 2000R Phase 3: finalize:  96%|█████████▋| 571/593 [00:11<00:00, 50.43it/s][A
→ 2000R Phase 3: finalize:  97%|█████████▋| 577/593 [00:11<00:00, 50.19it/s][A
→ 2000R Phase 3: finalize:  98%|█████████▊| 583/593 [00:11<00:00, 50.26it/s][A
→ 2000R Phase 3: finalize:  99%|█████████▉| 589/593 [00:11<00:00, 50.48it/s][A
                                                                            [A
[TIMING] 2000R — 594 frames
  Phase 1  radial detect   (parallel)  :   9.02s  (15.2 ms/frame)
  Phase 2a corner detect   (parallel)  :   4.31s  (7.3 ms/frame)
  Phase 2b corner fix      (sequential):   0.68s
  Phase 3  finalize        (sequential):  11.66s  (19.6 ms/frame)
    decode + undistort                 :   5.92s  (10.0 ms/frame)
    corner apply + refinement          :   2.85s  (4.8 ms/frame)
    segment                            :   2.36s  (4.0 ms/frame)
    smooth                             :   0.33s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  25.66s

Processing Rigs:  25%|██▌       | 1/4 [00:29<01:29, 29.92s/it][INFO] Filtered 225 stationary frames, 200 remain

→ 1000 (200 images) Phase 1:   0%|          | 0/200 [00:00<?, ?it/s][A
→ 1000 (200 images) Phase 1:   0%|          | 1/200 [00:00<01:55,  1.73it/s][A
→ 1000 (200 images) Phase 1:   1%|          | 2/200 [00:00<01:08,  2.90it/s][A
→ 1000 (200 images) Phase 1:  16%|█▋        | 33/200 [00:01<00:03, 47.04it/s][A
→ 1000 (200 images) Phase 1:  20%|█▉        | 39/200 [00:01<00:03, 42.42it/s][A
→ 1000 (200 images) Phase 1:  32%|███▎      | 65/200 [00:01<00:02, 64.49it/s][A
→ 1000 (200 images) Phase 1:  36%|███▌      | 72/200 [00:01<00:02, 55.08it/s][A
→ 1000 (200 images) Phase 1:  48%|████▊     | 97/200 [00:01<00:01, 71.05it/s][A
→ 1000 (200 images) Phase 1:  52%|█████▎    | 105/200 [00:02<00:01, 60.23it/s][A
→ 1000 (200 images) Phase 1:  64%|██████▍   | 129/200 [00:02<00:00, 73.87it/s][A
→ 1000 (200 images) Phase 1:  68%|██████▊   | 137/200 [00:02<00:01, 62.94it/s][A
→ 1000 (200 images) Phase 1:  80%|████████  | 161/200 [00:02<00:00, 75.63it/s][A
→ 1000 (200 images) Phase 1:  84%|████████▍ | 169/200 [00:03<00:00, 63.29it/s][A
→ 1000 (200 images) Phase 1:  96%|█████████▋| 193/200 [00:03<00:00, 85.36it/s][A
                                                                              [A
→ 1000 Phase 2: corners:   0%|          | 0/199 [00:00<?, ?it/s][A
→ 1000 Phase 2: corners:   1%|          | 1/199 [00:00<01:20,  2.46it/s][A
→ 1000 Phase 2: corners:   8%|▊         | 16/199 [00:00<00:04, 40.60it/s][A
→ 1000 Phase 2: corners:  15%|█▌        | 30/199 [00:00<00:02, 66.28it/s][A
→ 1000 Phase 2: corners:  25%|██▌       | 50/199 [00:00<00:01, 101.74it/s][A
→ 1000 Phase 2: corners:  33%|███▎      | 65/199 [00:00<00:01, 108.82it/s][A
→ 1000 Phase 2: corners:  40%|███▉      | 79/199 [00:00<00:01, 109.77it/s][A
→ 1000 Phase 2: corners:  46%|████▌     | 92/199 [00:01<00:00, 108.63it/s][A
→ 1000 Phase 2: corners:  53%|█████▎    | 106/199 [00:01<00:00, 116.78it/s][A
→ 1000 Phase 2: corners:  60%|█████▉    | 119/199 [00:01<00:00, 120.05it/s][A
→ 1000 Phase 2: corners:  67%|██████▋   | 134/199 [00:01<00:00, 127.28it/s][A
→ 1000 Phase 2: corners:  74%|███████▍  | 148/199 [00:01<00:00, 125.69it/s][A
→ 1000 Phase 2: corners:  81%|████████  | 161/199 [00:01<00:00, 120.54it/s][A
→ 1000 Phase 2: corners:  89%|████████▉ | 178/199 [00:01<00:00, 133.26it/s][A
→ 1000 Phase 2: corners:  98%|█████████▊| 196/199 [00:01<00:00, 145.51it/s][A
                                                                           [A[PASS2] Frame 0000227: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000241: fixed corners {0, 2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000242: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000243: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000244: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000247: fixed corners {0, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000371: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000372: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000373: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000374: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000413: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000414: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000415: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000416: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000417: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000242: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000243: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000247: fixed corners {0, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000373: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000241: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000247: fixed corners {0, 3} (was_fixed=False, trusted=False)
[PASS2] Summary: 9 frames fixed, 7 untrusted, 199 total

→ 1000 Phase 3: finalize:   0%|          | 0/199 [00:00<?, ?it/s][A
→ 1000 Phase 3: finalize:   3%|▎         | 6/199 [00:00<00:03, 57.82it/s][A
→ 1000 Phase 3: finalize:   6%|▌         | 12/199 [00:00<00:03, 58.84it/s][A
→ 1000 Phase 3: finalize:   9%|▉         | 18/199 [00:00<00:03, 58.72it/s][A
→ 1000 Phase 3: finalize:  12%|█▏        | 24/199 [00:00<00:02, 58.70it/s][A
→ 1000 Phase 3: finalize:  15%|█▌        | 30/199 [00:00<00:02, 58.57it/s][A
→ 1000 Phase 3: finalize:  18%|█▊        | 36/199 [00:00<00:02, 57.87it/s][A
→ 1000 Phase 3: finalize:  21%|██        | 42/199 [00:00<00:02, 56.89it/s][A
→ 1000 Phase 3: finalize:  24%|██▍       | 48/199 [00:00<00:02, 55.87it/s][A
→ 1000 Phase 3: finalize:  27%|██▋       | 54/199 [00:00<00:02, 55.49it/s][A
→ 1000 Phase 3: finalize:  30%|███       | 60/199 [00:01<00:02, 55.99it/s][A
→ 1000 Phase 3: finalize:  33%|███▎      | 66/199 [00:01<00:02, 55.95it/s][A
→ 1000 Phase 3: finalize:  36%|███▌      | 72/199 [00:01<00:02, 54.48it/s][A
→ 1000 Phase 3: finalize:  39%|███▉      | 78/199 [00:01<00:02, 53.68it/s][A
→ 1000 Phase 3: finalize:  42%|████▏     | 84/199 [00:01<00:02, 52.91it/s][A
→ 1000 Phase 3: finalize:  45%|████▌     | 90/199 [00:01<00:02, 52.67it/s][A
→ 1000 Phase 3: finalize:  48%|████▊     | 96/199 [00:01<00:01, 52.58it/s][A
→ 1000 Phase 3: finalize:  51%|█████▏    | 102/199 [00:01<00:01, 52.60it/s][A
→ 1000 Phase 3: finalize:  54%|█████▍    | 108/199 [00:01<00:01, 52.53it/s][A
→ 1000 Phase 3: finalize:  57%|█████▋    | 114/199 [00:02<00:01, 52.50it/s][A
→ 1000 Phase 3: finalize:  60%|██████    | 120/199 [00:02<00:01, 52.36it/s][A
→ 1000 Phase 3: finalize:  63%|██████▎   | 126/199 [00:02<00:01, 52.31it/s][A
→ 1000 Phase 3: finalize:  66%|██████▋   | 132/199 [00:02<00:01, 52.41it/s][A
→ 1000 Phase 3: finalize:  69%|██████▉   | 138/199 [00:02<00:01, 52.33it/s][A
→ 1000 Phase 3: finalize:  72%|███████▏  | 144/199 [00:02<00:01, 52.14it/s][A
→ 1000 Phase 3: finalize:  75%|███████▌  | 150/199 [00:02<00:00, 51.87it/s][A
→ 1000 Phase 3: finalize:  78%|███████▊  | 156/199 [00:02<00:00, 52.05it/s][A
→ 1000 Phase 3: finalize:  81%|████████▏ | 162/199 [00:03<00:00, 52.57it/s][A
→ 1000 Phase 3: finalize:  84%|████████▍ | 168/199 [00:03<00:00, 52.93it/s][A
→ 1000 Phase 3: finalize:  87%|████████▋ | 174/199 [00:03<00:00, 53.41it/s][A
→ 1000 Phase 3: finalize:  90%|█████████ | 180/199 [00:03<00:00, 53.88it/s][A
→ 1000 Phase 3: finalize:  93%|█████████▎| 186/199 [00:03<00:00, 54.28it/s][A
→ 1000 Phase 3: finalize:  96%|█████████▋| 192/199 [00:03<00:00, 54.24it/s][A
→ 1000 Phase 3: finalize:  99%|█████████▉| 198/199 [00:03<00:00, 54.01it/s][A
                                                                           [A
[TIMING] 1000 — 200 frames
  Phase 1  radial detect   (parallel)  :   3.41s  (17.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.93s  (9.7 ms/frame)
  Phase 2b corner fix      (sequential):   0.36s
  Phase 3  finalize        (sequential):   3.68s  (18.4 ms/frame)
    decode + undistort                 :   1.94s  (9.7 ms/frame)
    corner apply + refinement          :   0.79s  (3.9 ms/frame)
    segment                            :   0.77s  (3.9 ms/frame)
    smooth                             :   0.11s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   9.38s

Processing Rigs:  50%|█████     | 2/4 [00:40<00:37, 18.77s/it][INFO] Filtered 305 stationary frames, 370 remain

→ 2000L (370 images) Phase 1:   0%|          | 0/370 [00:00<?, ?it/s][A
→ 2000L (370 images) Phase 1:   0%|          | 1/370 [00:00<03:41,  1.67it/s][A
→ 2000L (370 images) Phase 1:   1%|          | 2/370 [00:00<02:09,  2.85it/s][A
→ 2000L (370 images) Phase 1:   9%|▉         | 33/370 [00:01<00:06, 48.36it/s][A
→ 2000L (370 images) Phase 1:  11%|█         | 39/370 [00:01<00:07, 41.77it/s][A
→ 2000L (370 images) Phase 1:  16%|█▌        | 60/370 [00:01<00:04, 69.93it/s][A
→ 2000L (370 images) Phase 1:  19%|█▉        | 71/370 [00:01<00:06, 46.08it/s][A
→ 2000L (370 images) Phase 1:  26%|██▌       | 97/370 [00:02<00:04, 65.83it/s][A
→ 2000L (370 images) Phase 1:  29%|██▊       | 106/370 [00:02<00:04, 56.78it/s][A
→ 2000L (370 images) Phase 1:  35%|███▍      | 129/370 [00:02<00:03, 71.12it/s][A
→ 2000L (370 images) Phase 1:  37%|███▋      | 138/370 [00:02<00:03, 60.32it/s][A
→ 2000L (370 images) Phase 1:  44%|████▎     | 161/370 [00:02<00:02, 74.53it/s][A
→ 2000L (370 images) Phase 1:  46%|████▌     | 170/370 [00:03<00:03, 62.14it/s][A
→ 2000L (370 images) Phase 1:  52%|█████▏    | 193/370 [00:03<00:02, 77.30it/s][A
→ 2000L (370 images) Phase 1:  55%|█████▍    | 202/370 [00:03<00:02, 62.37it/s][A
→ 2000L (370 images) Phase 1:  61%|██████    | 225/370 [00:03<00:01, 78.28it/s][A
→ 2000L (370 images) Phase 1:  63%|██████▎   | 234/370 [00:04<00:02, 62.89it/s][A
→ 2000L (370 images) Phase 1:  69%|██████▉   | 257/370 [00:04<00:01, 78.57it/s][A
→ 2000L (370 images) Phase 1:  72%|███████▏  | 266/370 [00:04<00:01, 63.62it/s][A
→ 2000L (370 images) Phase 1:  74%|███████▍  | 274/370 [00:04<00:01, 64.99it/s][A
→ 2000L (370 images) Phase 1:  78%|███████▊  | 290/370 [00:04<00:01, 69.43it/s][A
→ 2000L (370 images) Phase 1:  81%|████████  | 298/370 [00:04<00:01, 67.29it/s][A
→ 2000L (370 images) Phase 1:  82%|████████▏ | 305/370 [00:05<00:01, 64.36it/s][A
→ 2000L (370 images) Phase 1:  87%|████████▋ | 322/370 [00:05<00:00, 72.93it/s][A
→ 2000L (370 images) Phase 1:  89%|████████▉ | 330/370 [00:05<00:00, 68.68it/s][A
→ 2000L (370 images) Phase 1:  91%|█████████ | 337/370 [00:05<00:00, 65.95it/s][A
→ 2000L (370 images) Phase 1:  96%|█████████▌| 354/370 [00:05<00:00, 85.13it/s][A
→ 2000L (370 images) Phase 1:  98%|█████████▊| 363/370 [00:05<00:00, 79.89it/s][A
                                                                               [A
→ 2000L Phase 2: corners:   0%|          | 0/369 [00:00<?, ?it/s][A
→ 2000L Phase 2: corners:   0%|          | 1/369 [00:00<02:29,  2.46it/s][A
→ 2000L Phase 2: corners:   5%|▍         | 18/369 [00:00<00:07, 45.28it/s][A
→ 2000L Phase 2: corners:   9%|▊         | 32/369 [00:00<00:04, 68.94it/s][A
→ 2000L Phase 2: corners:  13%|█▎        | 48/369 [00:00<00:03, 91.87it/s][A
→ 2000L Phase 2: corners:  17%|█▋        | 61/369 [00:00<00:03, 98.57it/s][A
→ 2000L Phase 2: corners:  21%|██        | 76/369 [00:00<00:02, 110.10it/s][A
→ 2000L Phase 2: corners:  24%|██▍       | 90/369 [00:01<00:02, 116.05it/s][A
→ 2000L Phase 2: corners:  28%|██▊       | 103/369 [00:01<00:02, 118.87it/s][A
→ 2000L Phase 2: corners:  32%|███▏      | 119/369 [00:01<00:01, 126.09it/s][A
→ 2000L Phase 2: corners:  36%|███▋      | 134/369 [00:01<00:01, 130.16it/s][A
→ 2000L Phase 2: corners:  40%|████      | 148/369 [00:01<00:01, 129.69it/s][A
→ 2000L Phase 2: corners:  44%|████▍     | 164/369 [00:01<00:01, 136.92it/s][A
→ 2000L Phase 2: corners:  48%|████▊     | 178/369 [00:01<00:01, 130.99it/s][A
→ 2000L Phase 2: corners:  52%|█████▏    | 193/369 [00:01<00:01, 135.47it/s][A
→ 2000L Phase 2: corners:  56%|█████▋    | 208/369 [00:01<00:01, 137.02it/s][A
→ 2000L Phase 2: corners:  61%|██████    | 224/369 [00:02<00:01, 141.92it/s][A
→ 2000L Phase 2: corners:  65%|██████▍   | 239/369 [00:02<00:00, 143.46it/s][A
→ 2000L Phase 2: corners:  69%|██████▉   | 254/369 [00:02<00:00, 142.20it/s][A
→ 2000L Phase 2: corners:  73%|███████▎  | 271/369 [00:02<00:00, 150.13it/s][A
→ 2000L Phase 2: corners:  78%|███████▊  | 289/369 [00:02<00:00, 157.78it/s][A
→ 2000L Phase 2: corners:  83%|████████▎ | 305/369 [00:02<00:00, 155.45it/s][A
→ 2000L Phase 2: corners:  87%|████████▋ | 321/369 [00:02<00:00, 155.14it/s][A
→ 2000L Phase 2: corners:  91%|█████████▏| 337/369 [00:02<00:00, 147.43it/s][A
                                                                            [A[PASS2] Frame 0000196: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000197: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000198: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000199: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000469: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000470: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000471: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000472: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000753: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000754: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000755: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000756: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000471: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000755: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 6 frames fixed, 8 untrusted, 369 total

→ 2000L Phase 3: finalize:   0%|          | 0/369 [00:00<?, ?it/s][A
→ 2000L Phase 3: finalize:   2%|▏         | 6/369 [00:00<00:07, 51.58it/s][A
→ 2000L Phase 3: finalize:   3%|▎         | 12/369 [00:00<00:06, 53.67it/s][A
→ 2000L Phase 3: finalize:   5%|▍         | 18/369 [00:00<00:06, 55.14it/s][A
→ 2000L Phase 3: finalize:   7%|▋         | 24/369 [00:00<00:06, 55.26it/s][A
→ 2000L Phase 3: finalize:   8%|▊         | 30/369 [00:00<00:06, 55.44it/s][A
→ 2000L Phase 3: finalize:  10%|▉         | 36/369 [00:00<00:05, 55.87it/s][A
→ 2000L Phase 3: finalize:  11%|█▏        | 42/369 [00:00<00:05, 55.35it/s][A
→ 2000L Phase 3: finalize:  13%|█▎        | 48/369 [00:00<00:05, 55.67it/s][A
→ 2000L Phase 3: finalize:  15%|█▍        | 54/369 [00:00<00:05, 55.76it/s][A
→ 2000L Phase 3: finalize:  16%|█▋        | 60/369 [00:01<00:05, 55.95it/s][A
→ 2000L Phase 3: finalize:  18%|█▊        | 66/369 [00:01<00:05, 55.32it/s][A
→ 2000L Phase 3: finalize:  20%|█▉        | 72/369 [00:01<00:05, 53.99it/s][A
→ 2000L Phase 3: finalize:  21%|██        | 78/369 [00:01<00:05, 53.08it/s][A
→ 2000L Phase 3: finalize:  23%|██▎       | 84/369 [00:01<00:05, 52.56it/s][A
→ 2000L Phase 3: finalize:  24%|██▍       | 90/369 [00:01<00:05, 52.16it/s][A
→ 2000L Phase 3: finalize:  26%|██▌       | 96/369 [00:01<00:05, 51.90it/s][A
→ 2000L Phase 3: finalize:  28%|██▊       | 102/369 [00:01<00:05, 51.50it/s][A
→ 2000L Phase 3: finalize:  29%|██▉       | 108/369 [00:02<00:05, 51.37it/s][A
→ 2000L Phase 3: finalize:  31%|███       | 114/369 [00:02<00:04, 51.36it/s][A
→ 2000L Phase 3: finalize:  33%|███▎      | 120/369 [00:02<00:04, 51.47it/s][A
→ 2000L Phase 3: finalize:  34%|███▍      | 126/369 [00:02<00:04, 51.76it/s][A
→ 2000L Phase 3: finalize:  36%|███▌      | 132/369 [00:02<00:04, 52.09it/s][A
→ 2000L Phase 3: finalize:  37%|███▋      | 138/369 [00:02<00:04, 52.31it/s][A
→ 2000L Phase 3: finalize:  39%|███▉      | 144/369 [00:02<00:04, 52.38it/s][A
→ 2000L Phase 3: finalize:  41%|████      | 150/369 [00:02<00:04, 52.58it/s][A
→ 2000L Phase 3: finalize:  42%|████▏     | 156/369 [00:02<00:04, 53.06it/s][A
→ 2000L Phase 3: finalize:  44%|████▍     | 162/369 [00:03<00:03, 53.11it/s][A
→ 2000L Phase 3: finalize:  46%|████▌     | 168/369 [00:03<00:03, 53.46it/s][A
→ 2000L Phase 3: finalize:  47%|████▋     | 174/369 [00:03<00:03, 53.71it/s][A
→ 2000L Phase 3: finalize:  49%|████▉     | 180/369 [00:03<00:03, 54.01it/s][A
→ 2000L Phase 3: finalize:  50%|█████     | 186/369 [00:03<00:03, 54.42it/s][A
→ 2000L Phase 3: finalize:  52%|█████▏    | 192/369 [00:03<00:03, 54.70it/s][A
→ 2000L Phase 3: finalize:  54%|█████▎    | 198/369 [00:03<00:03, 54.84it/s][A
→ 2000L Phase 3: finalize:  55%|█████▌    | 204/369 [00:03<00:03, 54.79it/s][A
→ 2000L Phase 3: finalize:  57%|█████▋    | 210/369 [00:03<00:02, 54.75it/s][A
→ 2000L Phase 3: finalize:  59%|█████▊    | 216/369 [00:04<00:02, 54.77it/s][A
→ 2000L Phase 3: finalize:  60%|██████    | 222/369 [00:04<00:02, 54.86it/s][A
→ 2000L Phase 3: finalize:  62%|██████▏   | 228/369 [00:04<00:02, 54.91it/s][A
→ 2000L Phase 3: finalize:  63%|██████▎   | 234/369 [00:04<00:02, 54.90it/s][A
→ 2000L Phase 3: finalize:  65%|██████▌   | 240/369 [00:04<00:02, 54.92it/s][A
→ 2000L Phase 3: finalize:  67%|██████▋   | 246/369 [00:04<00:02, 54.86it/s][A
→ 2000L Phase 3: finalize:  68%|██████▊   | 252/369 [00:04<00:02, 54.63it/s][A
→ 2000L Phase 3: finalize:  70%|██████▉   | 258/369 [00:04<00:02, 54.21it/s][A
→ 2000L Phase 3: finalize:  72%|███████▏  | 264/369 [00:04<00:01, 53.82it/s][A
→ 2000L Phase 3: finalize:  73%|███████▎  | 270/369 [00:05<00:01, 53.49it/s][A
→ 2000L Phase 3: finalize:  75%|███████▍  | 276/369 [00:05<00:01, 53.14it/s][A
→ 2000L Phase 3: finalize:  76%|███████▋  | 282/369 [00:05<00:01, 52.86it/s][A
→ 2000L Phase 3: finalize:  78%|███████▊  | 288/369 [00:05<00:01, 52.62it/s][A
→ 2000L Phase 3: finalize:  80%|███████▉  | 294/369 [00:05<00:01, 52.43it/s][A
→ 2000L Phase 3: finalize:  81%|████████▏ | 300/369 [00:05<00:01, 52.52it/s][A
→ 2000L Phase 3: finalize:  83%|████████▎ | 306/369 [00:05<00:01, 52.40it/s][A
→ 2000L Phase 3: finalize:  85%|████████▍ | 312/369 [00:05<00:01, 52.35it/s][A
→ 2000L Phase 3: finalize:  86%|████████▌ | 318/369 [00:05<00:00, 52.07it/s][A
→ 2000L Phase 3: finalize:  88%|████████▊ | 324/369 [00:06<00:00, 52.16it/s][A
→ 2000L Phase 3: finalize:  89%|████████▉ | 330/369 [00:06<00:00, 52.20it/s][A
→ 2000L Phase 3: finalize:  91%|█████████ | 336/369 [00:06<00:00, 52.15it/s][A
→ 2000L Phase 3: finalize:  93%|█████████▎| 342/369 [00:06<00:00, 52.15it/s][A
→ 2000L Phase 3: finalize:  94%|█████████▍| 348/369 [00:06<00:00, 51.96it/s][A
→ 2000L Phase 3: finalize:  96%|█████████▌| 354/369 [00:06<00:00, 51.80it/s][A
→ 2000L Phase 3: finalize:  98%|█████████▊| 360/369 [00:06<00:00, 51.77it/s][A
→ 2000L Phase 3: finalize:  99%|█████████▉| 366/369 [00:06<00:00, 51.91it/s][A
                                                                            [A
[TIMING] 2000L — 370 frames
  Phase 1  radial detect   (parallel)  :   6.03s  (16.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.89s  (7.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.42s
  Phase 3  finalize        (sequential):   6.92s  (18.7 ms/frame)
    decode + undistort                 :   3.62s  (9.8 ms/frame)
    corner apply + refinement          :   1.50s  (4.1 ms/frame)
    segment                            :   1.47s  (4.0 ms/frame)
    smooth                             :   0.21s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  16.26s

Processing Rigs:  75%|███████▌  | 3/4 [00:59<00:18, 18.74s/it][INFO] Filtered 340 stationary frames, 335 remain

→ 1500 (335 images) Phase 1:   0%|          | 0/335 [00:00<?, ?it/s][A
→ 1500 (335 images) Phase 1:   0%|          | 1/335 [00:00<03:30,  1.59it/s][A
→ 1500 (335 images) Phase 1:   1%|          | 2/335 [00:00<02:03,  2.71it/s][A
→ 1500 (335 images) Phase 1:  10%|▉         | 33/335 [00:01<00:06, 45.99it/s][A
→ 1500 (335 images) Phase 1:  12%|█▏        | 39/335 [00:01<00:07, 41.07it/s][A
→ 1500 (335 images) Phase 1:  19%|█▉        | 65/335 [00:01<00:04, 62.51it/s][A
→ 1500 (335 images) Phase 1:  21%|██▏       | 72/335 [00:01<00:04, 54.36it/s][A
→ 1500 (335 images) Phase 1:  29%|██▉       | 97/335 [00:01<00:03, 70.29it/s][A
→ 1500 (335 images) Phase 1:  31%|███▏      | 105/335 [00:02<00:03, 60.34it/s][A
→ 1500 (335 images) Phase 1:  39%|███▊      | 129/335 [00:02<00:02, 73.10it/s][A
→ 1500 (335 images) Phase 1:  41%|████      | 137/335 [00:02<00:03, 63.06it/s][A
→ 1500 (335 images) Phase 1:  48%|████▊     | 161/335 [00:02<00:02, 75.18it/s][A
→ 1500 (335 images) Phase 1:  50%|█████     | 169/335 [00:03<00:02, 64.53it/s][A
→ 1500 (335 images) Phase 1:  58%|█████▊    | 193/335 [00:03<00:01, 76.13it/s][A
→ 1500 (335 images) Phase 1:  60%|██████    | 201/335 [00:03<00:02, 64.44it/s][A
→ 1500 (335 images) Phase 1:  67%|██████▋   | 225/335 [00:03<00:01, 76.47it/s][A
→ 1500 (335 images) Phase 1:  70%|██████▉   | 233/335 [00:04<00:01, 64.61it/s][A
→ 1500 (335 images) Phase 1:  76%|███████▌  | 254/335 [00:04<00:00, 87.85it/s][A
→ 1500 (335 images) Phase 1:  79%|███████▉  | 265/335 [00:04<00:01, 62.27it/s][A
→ 1500 (335 images) Phase 1:  86%|████████▌ | 288/335 [00:04<00:00, 86.99it/s][A
→ 1500 (335 images) Phase 1:  90%|████████▉ | 301/335 [00:04<00:00, 63.60it/s][A
→ 1500 (335 images) Phase 1:  96%|█████████▌| 321/335 [00:05<00:00, 82.00it/s][A
→ 1500 (335 images) Phase 1: 100%|█████████▉| 334/335 [00:05<00:00, 72.13it/s][A
                                                                              [A
→ 1500 Phase 2: corners:   0%|          | 0/334 [00:00<?, ?it/s][A
→ 1500 Phase 2: corners:   0%|          | 1/334 [00:00<02:23,  2.33it/s][A
→ 1500 Phase 2: corners:   4%|▍         | 15/334 [00:00<00:08, 36.60it/s][A
→ 1500 Phase 2: corners:   8%|▊         | 27/334 [00:00<00:05, 57.89it/s][A
→ 1500 Phase 2: corners:  13%|█▎        | 42/334 [00:00<00:03, 81.49it/s][A
→ 1500 Phase 2: corners:  17%|█▋        | 56/334 [00:00<00:02, 97.50it/s][A
→ 1500 Phase 2: corners:  21%|██        | 69/334 [00:00<00:02, 103.22it/s][A
→ 1500 Phase 2: corners:  25%|██▍       | 83/334 [00:01<00:02, 113.22it/s][A
→ 1500 Phase 2: corners:  29%|██▊       | 96/334 [00:01<00:02, 110.02it/s][A
→ 1500 Phase 2: corners:  33%|███▎      | 110/334 [00:01<00:01, 112.14it/s][A
→ 1500 Phase 2: corners:  38%|███▊      | 126/334 [00:01<00:01, 122.97it/s][A
→ 1500 Phase 2: corners:  42%|████▏     | 140/334 [00:01<00:01, 126.41it/s][A
→ 1500 Phase 2: corners:  46%|████▌     | 154/334 [00:01<00:01, 123.16it/s][A
→ 1500 Phase 2: corners:  50%|█████     | 167/334 [00:01<00:01, 121.97it/s][A
→ 1500 Phase 2: corners:  54%|█████▍    | 181/334 [00:01<00:01, 121.52it/s][A
→ 1500 Phase 2: corners:  59%|█████▉    | 197/334 [00:01<00:01, 129.56it/s][A
→ 1500 Phase 2: corners:  63%|██████▎   | 211/334 [00:02<00:00, 127.57it/s][A
→ 1500 Phase 2: corners:  68%|██████▊   | 226/334 [00:02<00:00, 133.20it/s][A
→ 1500 Phase 2: corners:  73%|███████▎  | 243/334 [00:02<00:00, 142.99it/s][A
→ 1500 Phase 2: corners:  77%|███████▋  | 258/334 [00:02<00:00, 141.62it/s][A
→ 1500 Phase 2: corners:  82%|████████▏ | 274/334 [00:02<00:00, 145.94it/s][A
→ 1500 Phase 2: corners:  87%|████████▋ | 289/334 [00:02<00:00, 145.73it/s][A
→ 1500 Phase 2: corners:  98%|█████████▊| 326/334 [00:02<00:00, 210.65it/s][A
                                                                           [A[PASS2] Frame 0000298: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000461: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000462: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000463: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000464: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000463: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Summary: 3 frames fixed, 2 untrusted, 334 total

→ 1500 Phase 3: finalize:   0%|          | 0/334 [00:00<?, ?it/s][A
→ 1500 Phase 3: finalize:   2%|▏         | 6/334 [00:00<00:06, 52.04it/s][A
→ 1500 Phase 3: finalize:   4%|▎         | 12/334 [00:00<00:05, 53.69it/s][A
→ 1500 Phase 3: finalize:   5%|▌         | 18/334 [00:00<00:05, 54.37it/s][A
→ 1500 Phase 3: finalize:   7%|▋         | 24/334 [00:00<00:05, 54.44it/s][A
→ 1500 Phase 3: finalize:   9%|▉         | 30/334 [00:00<00:05, 54.90it/s][A
→ 1500 Phase 3: finalize:  11%|█         | 36/334 [00:00<00:05, 55.13it/s][A
→ 1500 Phase 3: finalize:  13%|█▎        | 42/334 [00:00<00:05, 55.08it/s][A
→ 1500 Phase 3: finalize:  14%|█▍        | 48/334 [00:00<00:05, 55.11it/s][A
→ 1500 Phase 3: finalize:  16%|█▌        | 54/334 [00:00<00:05, 55.05it/s][A
→ 1500 Phase 3: finalize:  18%|█▊        | 60/334 [00:01<00:04, 54.92it/s][A
→ 1500 Phase 3: finalize:  20%|█▉        | 66/334 [00:01<00:04, 54.44it/s][A
→ 1500 Phase 3: finalize:  22%|██▏       | 72/334 [00:01<00:04, 52.80it/s][A
→ 1500 Phase 3: finalize:  23%|██▎       | 78/334 [00:01<00:04, 51.82it/s][A
→ 1500 Phase 3: finalize:  25%|██▌       | 84/334 [00:01<00:04, 51.44it/s][A
→ 1500 Phase 3: finalize:  27%|██▋       | 90/334 [00:01<00:04, 51.17it/s][A
→ 1500 Phase 3: finalize:  29%|██▊       | 96/334 [00:01<00:04, 51.08it/s][A
→ 1500 Phase 3: finalize:  31%|███       | 102/334 [00:01<00:04, 50.94it/s][A
→ 1500 Phase 3: finalize:  32%|███▏      | 108/334 [00:02<00:04, 50.88it/s][A
→ 1500 Phase 3: finalize:  34%|███▍      | 114/334 [00:02<00:04, 50.86it/s][A
→ 1500 Phase 3: finalize:  36%|███▌      | 120/334 [00:02<00:04, 50.88it/s][A
→ 1500 Phase 3: finalize:  38%|███▊      | 126/334 [00:02<00:04, 51.03it/s][A
→ 1500 Phase 3: finalize:  40%|███▉      | 132/334 [00:02<00:03, 51.17it/s][A
→ 1500 Phase 3: finalize:  41%|████▏     | 138/334 [00:02<00:03, 51.30it/s][A
→ 1500 Phase 3: finalize:  43%|████▎     | 144/334 [00:02<00:03, 51.31it/s][A
→ 1500 Phase 3: finalize:  45%|████▍     | 150/334 [00:02<00:03, 51.38it/s][A
→ 1500 Phase 3: finalize:  47%|████▋     | 156/334 [00:02<00:03, 51.48it/s][A
→ 1500 Phase 3: finalize:  49%|████▊     | 162/334 [00:03<00:03, 51.57it/s][A
→ 1500 Phase 3: finalize:  50%|█████     | 168/334 [00:03<00:03, 51.66it/s][A
→ 1500 Phase 3: finalize:  52%|█████▏    | 174/334 [00:03<00:03, 51.79it/s][A
→ 1500 Phase 3: finalize:  54%|█████▍    | 180/334 [00:03<00:02, 51.85it/s][A
→ 1500 Phase 3: finalize:  56%|█████▌    | 186/334 [00:03<00:02, 51.85it/s][A
→ 1500 Phase 3: finalize:  57%|█████▋    | 192/334 [00:03<00:02, 51.73it/s][A
→ 1500 Phase 3: finalize:  59%|█████▉    | 198/334 [00:03<00:02, 51.84it/s][A
→ 1500 Phase 3: finalize:  61%|██████    | 204/334 [00:03<00:02, 51.97it/s][A
→ 1500 Phase 3: finalize:  63%|██████▎   | 210/334 [00:04<00:02, 51.90it/s][A
→ 1500 Phase 3: finalize:  65%|██████▍   | 216/334 [00:04<00:02, 51.90it/s][A
→ 1500 Phase 3: finalize:  66%|██████▋   | 222/334 [00:04<00:02, 51.73it/s][A
→ 1500 Phase 3: finalize:  68%|██████▊   | 228/334 [00:04<00:02, 51.58it/s][A
→ 1500 Phase 3: finalize:  70%|███████   | 234/334 [00:04<00:01, 51.41it/s][A
→ 1500 Phase 3: finalize:  72%|███████▏  | 240/334 [00:04<00:01, 51.29it/s][A
→ 1500 Phase 3: finalize:  74%|███████▎  | 246/334 [00:04<00:01, 51.38it/s][A
→ 1500 Phase 3: finalize:  75%|███████▌  | 252/334 [00:04<00:01, 51.46it/s][A
→ 1500 Phase 3: finalize:  77%|███████▋  | 258/334 [00:04<00:01, 51.54it/s][A
→ 1500 Phase 3: finalize:  79%|███████▉  | 264/334 [00:05<00:01, 51.31it/s][A
→ 1500 Phase 3: finalize:  81%|████████  | 270/334 [00:05<00:01, 51.06it/s][A
→ 1500 Phase 3: finalize:  83%|████████▎ | 276/334 [00:05<00:01, 51.01it/s][A
→ 1500 Phase 3: finalize:  84%|████████▍ | 282/334 [00:05<00:01, 50.98it/s][A
→ 1500 Phase 3: finalize:  86%|████████▌ | 288/334 [00:05<00:00, 50.99it/s][A
→ 1500 Phase 3: finalize:  88%|████████▊ | 294/334 [00:05<00:00, 50.78it/s][A
→ 1500 Phase 3: finalize:  90%|████████▉ | 300/334 [00:05<00:00, 50.89it/s][A
→ 1500 Phase 3: finalize:  92%|█████████▏| 306/334 [00:05<00:00, 51.07it/s][A
→ 1500 Phase 3: finalize:  93%|█████████▎| 312/334 [00:06<00:00, 51.19it/s][A
→ 1500 Phase 3: finalize:  95%|█████████▌| 318/334 [00:06<00:00, 51.09it/s][A
→ 1500 Phase 3: finalize:  97%|█████████▋| 324/334 [00:06<00:00, 50.81it/s][A
→ 1500 Phase 3: finalize:  99%|█████████▉| 330/334 [00:06<00:00, 50.84it/s][A
                                                                           [A
[TIMING] 1500 — 335 frames
  Phase 1  radial detect   (parallel)  :   5.39s  (16.1 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.79s  (8.3 ms/frame)
  Phase 2b corner fix      (sequential):   0.28s
  Phase 3  finalize        (sequential):   6.45s  (19.2 ms/frame)
    decode + undistort                 :   3.30s  (9.8 ms/frame)
    corner apply + refinement          :   1.53s  (4.6 ms/frame)
    segment                            :   1.32s  (3.9 ms/frame)
    smooth                             :   0.19s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  14.90s

Processing Rigs: 100%|██████████| 4/4 [01:16<00:00, 18.19s/it]Processing Rigs: 100%|██████████| 4/4 [01:16<00:00, 19.23s/it]
[💾] Saved RigFrameDataset to /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1495 frames from 4 rigs to /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000R: 100 frames selected from 593
[📋] 1000: 100 frames selected from 199
[📋] 2000L: 100 frames selected from 369
[📋] 1500: 100 frames selected from 334
[💾] Saved RigFrameDataset to /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/1_digitized/rig_frames.json

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

-> Calculating the casing center ...
[INFO] Using 80 total sampled bright frames
Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]Computing max image from bright frames:   1%|▏         | 1/80 [00:03<04:00,  3.04s/it]Computing max image from bright frames:   2%|▎         | 2/80 [00:05<03:51,  2.97s/it]Computing max image from bright frames:   4%|▍         | 3/80 [00:08<03:47,  2.96s/it]Computing max image from bright frames:   5%|▌         | 4/80 [00:11<03:44,  2.95s/it]Computing max image from bright frames:   6%|▋         | 5/80 [00:14<03:41,  2.95s/it]Computing max image from bright frames:   8%|▊         | 6/80 [00:17<03:40,  2.99s/it]Computing max image from bright frames:   9%|▉         | 7/80 [00:22<04:08,  3.41s/it]Computing max image from bright frames:  10%|█         | 8/80 [00:25<03:59,  3.33s/it]Computing max image from bright frames:  11%|█▏        | 9/80 [00:27<03:42,  3.13s/it]Computing max image from bright frames:  12%|█▎        | 10/80 [00:30<03:30,  3.01s/it]Computing max image from bright frames:  14%|█▍        | 11/80 [00:33<03:19,  2.89s/it]Computing max image from bright frames:  15%|█▌        | 12/80 [00:35<03:11,  2.82s/it]Computing max image from bright frames:  16%|█▋        | 13/80 [00:38<03:05,  2.77s/it]Computing max image from bright frames:  18%|█▊        | 14/80 [00:41<03:00,  2.73s/it]Computing max image from bright frames:  19%|█▉        | 15/80 [00:43<02:56,  2.71s/it]Computing max image from bright frames:  20%|██        | 16/80 [00:46<02:55,  2.73s/it]Computing max image from bright frames:  21%|██▏       | 17/80 [00:49<02:51,  2.72s/it]Computing max image from bright frames:  22%|██▎       | 18/80 [00:52<02:47,  2.70s/it]Computing max image from bright frames:  24%|██▍       | 19/80 [00:54<02:44,  2.69s/it]Computing max image from bright frames:  25%|██▌       | 20/80 [00:57<02:45,  2.76s/it]Computing max image from bright frames:  26%|██▋       | 21/80 [01:00<02:45,  2.81s/it]Computing max image from bright frames:  28%|██▊       | 22/80 [01:03<02:44,  2.84s/it]Computing max image from bright frames:  29%|██▉       | 23/80 [01:06<02:46,  2.93s/it]Computing max image from bright frames:  30%|███       | 24/80 [01:09<02:42,  2.91s/it]Computing max image from bright frames:  31%|███▏      | 25/80 [01:12<02:40,  2.91s/it]Computing max image from bright frames:  32%|███▎      | 26/80 [01:15<02:33,  2.85s/it]Computing max image from bright frames:  34%|███▍      | 27/80 [01:17<02:28,  2.81s/it]Computing max image from bright frames:  35%|███▌      | 28/80 [01:20<02:24,  2.78s/it]Computing max image from bright frames:  36%|███▋      | 29/80 [01:23<02:19,  2.74s/it]Computing max image from bright frames:  38%|███▊      | 30/80 [01:25<02:16,  2.72s/it]Computing max image from bright frames:  39%|███▉      | 31/80 [01:28<02:12,  2.71s/it]Computing max image from bright frames:  40%|████      | 32/80 [01:31<02:09,  2.70s/it]Computing max image from bright frames:  41%|████▏     | 33/80 [01:33<02:06,  2.70s/it]Computing max image from bright frames:  42%|████▎     | 34/80 [01:36<02:03,  2.69s/it]Computing max image from bright frames:  44%|████▍     | 35/80 [01:39<02:00,  2.67s/it]Computing max image from bright frames:  45%|████▌     | 36/80 [01:42<02:00,  2.75s/it]Computing max image from bright frames:  46%|████▋     | 37/80 [01:45<02:00,  2.80s/it]Computing max image from bright frames:  48%|████▊     | 38/80 [01:48<01:59,  2.84s/it]Computing max image from bright frames:  49%|████▉     | 39/80 [01:50<01:57,  2.87s/it]Computing max image from bright frames:  50%|█████     | 40/80 [01:53<01:55,  2.89s/it]Computing max image from bright frames:  51%|█████▏    | 41/80 [01:56<01:53,  2.91s/it]Computing max image from bright frames:  52%|█████▎    | 42/80 [01:59<01:51,  2.92s/it]Computing max image from bright frames:  54%|█████▍    | 43/80 [02:02<01:48,  2.94s/it]Computing max image from bright frames:  55%|█████▌    | 44/80 [02:05<01:45,  2.92s/it]Computing max image from bright frames:  56%|█████▋    | 45/80 [02:08<01:42,  2.92s/it]Computing max image from bright frames:  57%|█████▊    | 46/80 [02:11<01:39,  2.92s/it]Computing max image from bright frames:  59%|█████▉    | 47/80 [02:14<01:35,  2.91s/it]Computing max image from bright frames:  60%|██████    | 48/80 [02:17<01:32,  2.90s/it]Computing max image from bright frames:  61%|██████▏   | 49/80 [02:19<01:27,  2.84s/it]Computing max image from bright frames:  62%|██████▎   | 50/80 [02:22<01:23,  2.79s/it]Computing max image from bright frames:  64%|██████▍   | 51/80 [02:25<01:20,  2.76s/it]Computing max image from bright frames:  65%|██████▌   | 52/80 [02:28<01:17,  2.76s/it]Computing max image from bright frames:  66%|██████▋   | 53/80 [02:30<01:13,  2.73s/it]Computing max image from bright frames:  68%|██████▊   | 54/80 [02:33<01:10,  2.71s/it]Computing max image from bright frames:  69%|██████▉   | 55/80 [02:36<01:08,  2.72s/it]Computing max image from bright frames:  70%|███████   | 56/80 [02:38<01:04,  2.71s/it]Computing max image from bright frames:  71%|███████▏  | 57/80 [02:41<01:03,  2.76s/it]Computing max image from bright frames:  72%|███████▎  | 58/80 [02:44<01:01,  2.81s/it]Computing max image from bright frames:  74%|███████▍  | 59/80 [02:47<00:59,  2.84s/it]Computing max image from bright frames:  75%|███████▌  | 60/80 [02:50<00:57,  2.86s/it]Computing max image from bright frames:  76%|███████▋  | 61/80 [02:53<00:54,  2.87s/it]Computing max image from bright frames:  78%|███████▊  | 62/80 [02:56<00:51,  2.87s/it]Computing max image from bright frames:  79%|███████▉  | 63/80 [02:59<00:48,  2.88s/it]Computing max image from bright frames:  80%|████████  | 64/80 [03:02<00:46,  2.88s/it]Computing max image from bright frames:  81%|████████▏ | 65/80 [03:04<00:43,  2.88s/it]Computing max image from bright frames:  82%|████████▎ | 66/80 [03:07<00:40,  2.90s/it]Computing max image from bright frames:  84%|████████▍ | 67/80 [03:10<00:37,  2.91s/it]Computing max image from bright frames:  85%|████████▌ | 68/80 [03:13<00:34,  2.88s/it]Computing max image from bright frames:  86%|████████▋ | 69/80 [03:16<00:31,  2.83s/it]Computing max image from bright frames:  88%|████████▊ | 70/80 [03:19<00:28,  2.81s/it]Computing max image from bright frames:  89%|████████▉ | 71/80 [03:21<00:24,  2.76s/it]Computing max image from bright frames:  90%|█████████ | 72/80 [03:24<00:21,  2.73s/it]Computing max image from bright frames:  91%|█████████▏| 73/80 [03:26<00:18,  2.67s/it]Computing max image from bright frames:  92%|█████████▎| 74/80 [03:29<00:15,  2.67s/it]Computing max image from bright frames:  94%|█████████▍| 75/80 [03:32<00:13,  2.66s/it]Computing max image from bright frames:  95%|█████████▌| 76/80 [03:34<00:10,  2.65s/it]Computing max image from bright frames:  96%|█████████▋| 77/80 [03:37<00:08,  2.71s/it]Computing max image from bright frames:  98%|█████████▊| 78/80 [03:40<00:05,  2.80s/it]Computing max image from bright frames:  99%|█████████▉| 79/80 [03:43<00:02,  2.83s/it]Computing max image from bright frames: 100%|██████████| 80/80 [03:46<00:00,  2.86s/it]                                                                                       [✅] Casing detection complete: cx=877.0, cy=964.0

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

  0%|          | 0/100 [00:00<?, ?it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:30,  3.22it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 307.071} (0.000):   1%|          | 1/100 [00:00<00:30,  3.22it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:30,  3.22it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:30,  3.22it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:08, 11.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:08, 11.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:08, 11.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   6%|▌         | 6/100 [00:00<00:07, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 342.424} (0.001):   6%|▌         | 6/100 [00:00<00:07, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   7%|▋         | 7/100 [00:00<00:07, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   8%|▊         | 8/100 [00:00<00:06, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.001 | Best: {'fx': 363.636} (0.001):   9%|▉         | 9/100 [00:00<00:06, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  10%|█         | 10/100 [00:00<00:06, 13.20it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.002 | Best: {'fx': 370.707} (0.002):  11%|█         | 11/100 [00:00<00:03, 23.19it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.002 | Best: {'fx': 377.778} (0.002):  11%|█         | 11/100 [00:00<00:03, 23.19it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.003 | Best: {'fx': 384.848} (0.003):  12%|█▏        | 12/100 [00:00<00:03, 23.19it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  13%|█▎        | 13/100 [00:00<00:03, 23.19it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 391.919} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 22.03it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 398.99} (0.004):  14%|█▍        | 14/100 [00:00<00:03, 22.03it/s] Brute | Start: {'fx': 500.0} (0.039) | Current: 0.004 | Best: {'fx': 406.061} (0.004):  15%|█▌        | 15/100 [00:00<00:03, 22.03it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 22.03it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 22.03it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  18%|█▊        | 18/100 [00:00<00:03, 21.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 21.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.005 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:01<00:03, 21.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.008 | Best: {'fx': 441.414} (0.008):  20%|██        | 20/100 [00:01<00:03, 21.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.009 | Best: {'fx': 448.485} (0.009):  21%|██        | 21/100 [00:01<00:03, 21.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.009 | Best: {'fx': 448.485} (0.009):  22%|██▏       | 22/100 [00:01<00:03, 23.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.012 | Best: {'fx': 455.556} (0.012):  22%|██▏       | 22/100 [00:01<00:03, 23.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.014 | Best: {'fx': 462.626} (0.014):  23%|██▎       | 23/100 [00:01<00:03, 23.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  24%|██▍       | 24/100 [00:01<00:03, 23.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 483.838} (0.024):  25%|██▌       | 25/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.017 | Best: {'fx': 483.838} (0.024):  25%|██▌       | 25/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 483.838} (0.024):  26%|██▌       | 26/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.031 | Best: {'fx': 490.909} (0.031):  27%|██▋       | 27/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.037 | Best: {'fx': 497.98} (0.037):  28%|██▊       | 28/100 [00:01<00:03, 21.06it/s] Brute | Start: {'fx': 500.0} (0.039) | Current: 0.043 | Best: {'fx': 505.051} (0.043):  29%|██▉       | 29/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.054 | Best: {'fx': 512.121} (0.054):  30%|███       | 30/100 [00:01<00:03, 21.06it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.054 | Best: {'fx': 512.121} (0.054):  31%|███       | 31/100 [00:01<00:03, 22.50it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.071 | Best: {'fx': 519.192} (0.071):  31%|███       | 31/100 [00:01<00:03, 22.50it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.097 | Best: {'fx': 526.263} (0.097):  32%|███▏      | 32/100 [00:01<00:03, 22.50it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.111 | Best: {'fx': 533.333} (0.111):  33%|███▎      | 33/100 [00:01<00:02, 22.50it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.111 | Best: {'fx': 533.333} (0.111):  34%|███▍      | 34/100 [00:01<00:03, 21.97it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.067 | Best: {'fx': 533.333} (0.111):  34%|███▍      | 34/100 [00:01<00:03, 21.97it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.086 | Best: {'fx': 533.333} (0.111):  35%|███▌      | 35/100 [00:01<00:02, 21.97it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.058 | Best: {'fx': 533.333} (0.111):  36%|███▌      | 36/100 [00:01<00:02, 21.97it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.058 | Best: {'fx': 533.333} (0.111):  37%|███▋      | 37/100 [00:01<00:03, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.045 | Best: {'fx': 533.333} (0.111):  37%|███▋      | 37/100 [00:01<00:03, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.038 | Best: {'fx': 533.333} (0.111):  38%|███▊      | 38/100 [00:01<00:03, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.042 | Best: {'fx': 533.333} (0.111):  39%|███▉      | 39/100 [00:01<00:03, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.036 | Best: {'fx': 533.333} (0.111):  40%|████      | 40/100 [00:01<00:02, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.051 | Best: {'fx': 533.333} (0.111):  41%|████      | 41/100 [00:02<00:02, 20.16it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.051 | Best: {'fx': 533.333} (0.111):  42%|████▏     | 42/100 [00:02<00:02, 25.31it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.034 | Best: {'fx': 533.333} (0.111):  42%|████▏     | 42/100 [00:02<00:02, 25.31it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.032 | Best: {'fx': 533.333} (0.111):  43%|████▎     | 43/100 [00:02<00:02, 25.31it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.031 | Best: {'fx': 533.333} (0.111):  44%|████▍     | 44/100 [00:02<00:02, 25.31it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.031 | Best: {'fx': 533.333} (0.111):  45%|████▌     | 45/100 [00:02<00:02, 25.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.030 | Best: {'fx': 533.333} (0.111):  45%|████▌     | 45/100 [00:02<00:02, 25.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.027 | Best: {'fx': 533.333} (0.111):  46%|████▌     | 46/100 [00:02<00:02, 25.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.026 | Best: {'fx': 533.333} (0.111):  47%|████▋     | 47/100 [00:02<00:02, 25.13it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.026 | Best: {'fx': 533.333} (0.111):  48%|████▊     | 48/100 [00:02<00:02, 25.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.029 | Best: {'fx': 533.333} (0.111):  48%|████▊     | 48/100 [00:02<00:02, 25.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.028 | Best: {'fx': 533.333} (0.111):  49%|████▉     | 49/100 [00:02<00:02, 25.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 533.333} (0.111):  50%|█████     | 50/100 [00:02<00:01, 25.45it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 533.333} (0.111):  51%|█████     | 51/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 533.333} (0.111):  51%|█████     | 51/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.025 | Best: {'fx': 533.333} (0.111):  52%|█████▏    | 52/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.026 | Best: {'fx': 533.333} (0.111):  53%|█████▎    | 53/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  54%|█████▍    | 54/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.024 | Best: {'fx': 533.333} (0.111):  55%|█████▌    | 55/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.025 | Best: {'fx': 533.333} (0.111):  56%|█████▌    | 56/100 [00:02<00:02, 21.88it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.025 | Best: {'fx': 533.333} (0.111):  57%|█████▋    | 57/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  57%|█████▋    | 57/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 533.333} (0.111):  58%|█████▊    | 58/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 533.333} (0.111):  59%|█████▉    | 59/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.023 | Best: {'fx': 533.333} (0.111):  60%|██████    | 60/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  61%|██████    | 61/100 [00:02<00:01, 30.24it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  62%|██████▏   | 62/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  62%|██████▏   | 62/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 533.333} (0.111):  63%|██████▎   | 63/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  64%|██████▍   | 64/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.022 | Best: {'fx': 533.333} (0.111):  65%|██████▌   | 65/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  66%|██████▌   | 66/100 [00:02<00:01, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  67%|██████▋   | 67/100 [00:02<00:00, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  68%|██████▊   | 68/100 [00:02<00:00, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  69%|██████▉   | 69/100 [00:02<00:00, 33.42it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  70%|███████   | 70/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.021 | Best: {'fx': 533.333} (0.111):  70%|███████   | 70/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  71%|███████   | 71/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.020 | Best: {'fx': 533.333} (0.111):  72%|███████▏  | 72/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  73%|███████▎  | 73/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  74%|███████▍  | 74/100 [00:02<00:00, 44.05it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  75%|███████▌  | 75/100 [00:02<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  75%|███████▌  | 75/100 [00:02<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  76%|███████▌  | 76/100 [00:02<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  77%|███████▋  | 77/100 [00:02<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  78%|███████▊  | 78/100 [00:02<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  79%|███████▉  | 79/100 [00:03<00:00, 40.61it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  80%|████████  | 80/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  80%|████████  | 80/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  81%|████████  | 81/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  82%|████████▏ | 82/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  83%|████████▎ | 83/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  84%|████████▍ | 84/100 [00:03<00:00, 42.35it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.019 | Best: {'fx': 533.333} (0.111):  85%|████████▌ | 85/100 [00:03<00:00, 34.71it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  85%|████████▌ | 85/100 [00:03<00:00, 34.71it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  86%|████████▌ | 86/100 [00:03<00:00, 34.71it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  87%|████████▋ | 87/100 [00:03<00:00, 34.71it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  88%|████████▊ | 88/100 [00:03<00:00, 34.71it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  89%|████████▉ | 89/100 [00:03<00:00, 32.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  89%|████████▉ | 89/100 [00:03<00:00, 32.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  90%|█████████ | 90/100 [00:03<00:00, 32.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  91%|█████████ | 91/100 [00:03<00:00, 32.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  92%|█████████▏| 92/100 [00:03<00:00, 32.90it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  93%|█████████▎| 93/100 [00:03<00:00, 32.02it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  93%|█████████▎| 93/100 [00:03<00:00, 32.02it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  94%|█████████▍| 94/100 [00:03<00:00, 32.02it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  95%|█████████▌| 95/100 [00:03<00:00, 32.02it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  96%|█████████▌| 96/100 [00:03<00:00, 32.02it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  97%|█████████▋| 97/100 [00:03<00:00, 29.33it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  97%|█████████▋| 97/100 [00:03<00:00, 29.33it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  98%|█████████▊| 98/100 [00:03<00:00, 29.33it/s]Brute | Start: {'fx': 500.0} (0.039) | Current: 0.018 | Best: {'fx': 533.333} (0.111):  99%|█████████▉| 99/100 [00:03<00:00, 29.33it/s]                                                                                                                                         0%|          | 0/50 [00:00<?, ?it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.048 | Best: {'fx': 508.333} (0.048):   0%|          | 0/50 [00:00<?, ?it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.048 | Best: {'fx': 508.333} (0.048):   2%|▏         | 1/50 [00:00<00:25,  1.91it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.049 | Best: {'fx': 509.354} (0.049):   2%|▏         | 1/50 [00:00<00:25,  1.91it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.051 | Best: {'fx': 510.374} (0.051):   4%|▍         | 2/50 [00:00<00:25,  1.91it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.053 | Best: {'fx': 511.395} (0.053):   6%|▌         | 3/50 [00:00<00:24,  1.91it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.053 | Best: {'fx': 511.395} (0.053):   8%|▊         | 4/50 [00:00<00:06,  7.63it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.059 | Best: {'fx': 514.456} (0.059):   8%|▊         | 4/50 [00:00<00:06,  7.63it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.057 | Best: {'fx': 514.456} (0.059):  10%|█         | 5/50 [00:00<00:05,  7.63it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.064 | Best: {'fx': 516.497} (0.064):  12%|█▏        | 6/50 [00:00<00:05,  7.63it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.064 | Best: {'fx': 516.497} (0.064):  14%|█▍        | 7/50 [00:00<00:03, 10.93it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.055 | Best: {'fx': 516.497} (0.064):  14%|█▍        | 7/50 [00:00<00:03, 10.93it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.066 | Best: {'fx': 517.517} (0.066):  16%|█▌        | 8/50 [00:00<00:03, 10.93it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.061 | Best: {'fx': 517.517} (0.066):  18%|█▊        | 9/50 [00:00<00:03, 10.93it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.070 | Best: {'fx': 518.537} (0.070):  20%|██        | 10/50 [00:00<00:03, 10.93it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.070 | Best: {'fx': 518.537} (0.070):  22%|██▏       | 11/50 [00:00<00:02, 16.03it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.072 | Best: {'fx': 519.558} (0.072):  22%|██▏       | 11/50 [00:00<00:02, 16.03it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.074 | Best: {'fx': 520.578} (0.074):  24%|██▍       | 12/50 [00:01<00:02, 16.03it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.079 | Best: {'fx': 521.599} (0.079):  26%|██▌       | 13/50 [00:01<00:02, 16.03it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.082 | Best: {'fx': 522.619} (0.082):  28%|██▊       | 14/50 [00:01<00:02, 16.03it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.082 | Best: {'fx': 522.619} (0.082):  30%|███       | 15/50 [00:01<00:01, 20.17it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.085 | Best: {'fx': 523.639} (0.085):  30%|███       | 15/50 [00:01<00:01, 20.17it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.089 | Best: {'fx': 524.66} (0.089):  32%|███▏      | 16/50 [00:01<00:01, 20.17it/s] Brute | Start: {'fx': 533.333} (0.111) | Current: 0.100 | Best: {'fx': 526.701} (0.100):  34%|███▍      | 17/50 [00:01<00:01, 20.17it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.100 | Best: {'fx': 526.701} (0.100):  36%|███▌      | 18/50 [00:01<00:01, 19.65it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.112 | Best: {'fx': 528.741} (0.112):  36%|███▌      | 18/50 [00:01<00:01, 19.65it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.107 | Best: {'fx': 528.741} (0.112):  38%|███▊      | 19/50 [00:01<00:01, 19.65it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.094 | Best: {'fx': 528.741} (0.112):  40%|████      | 20/50 [00:01<00:01, 19.65it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.094 | Best: {'fx': 528.741} (0.112):  42%|████▏     | 21/50 [00:01<00:01, 19.44it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.113 | Best: {'fx': 531.803} (0.113):  42%|████▏     | 21/50 [00:01<00:01, 19.44it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.115 | Best: {'fx': 529.762} (0.115):  44%|████▍     | 22/50 [00:01<00:01, 19.44it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.113 | Best: {'fx': 529.762} (0.115):  46%|████▌     | 23/50 [00:01<00:01, 19.44it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.113 | Best: {'fx': 529.762} (0.115):  48%|████▊     | 24/50 [00:01<00:01, 19.44it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.113 | Best: {'fx': 529.762} (0.115):  50%|█████     | 25/50 [00:01<00:01, 23.11it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.087 | Best: {'fx': 529.762} (0.115):  50%|█████     | 25/50 [00:01<00:01, 23.11it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.108 | Best: {'fx': 529.762} (0.115):  52%|█████▏    | 26/50 [00:01<00:01, 23.11it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.082 | Best: {'fx': 529.762} (0.115):  54%|█████▍    | 27/50 [00:01<00:00, 23.11it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.103 | Best: {'fx': 529.762} (0.115):  56%|█████▌    | 28/50 [00:01<00:00, 23.11it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.103 | Best: {'fx': 529.762} (0.115):  58%|█████▊    | 29/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.085 | Best: {'fx': 529.762} (0.115):  58%|█████▊    | 29/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.080 | Best: {'fx': 529.762} (0.115):  60%|██████    | 30/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.098 | Best: {'fx': 529.762} (0.115):  62%|██████▏   | 31/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.077 | Best: {'fx': 529.762} (0.115):  64%|██████▍   | 32/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.110 | Best: {'fx': 529.762} (0.115):  66%|██████▌   | 33/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.092 | Best: {'fx': 529.762} (0.115):  68%|██████▊   | 34/50 [00:01<00:00, 26.06it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.092 | Best: {'fx': 529.762} (0.115):  70%|███████   | 35/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.088 | Best: {'fx': 529.762} (0.115):  70%|███████   | 35/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.074 | Best: {'fx': 529.762} (0.115):  72%|███████▏  | 36/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.065 | Best: {'fx': 529.762} (0.115):  74%|███████▍  | 37/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.064 | Best: {'fx': 529.762} (0.115):  76%|███████▌  | 38/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.071 | Best: {'fx': 529.762} (0.115):  78%|███████▊  | 39/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.068 | Best: {'fx': 529.762} (0.115):  80%|████████  | 40/50 [00:01<00:00, 30.26it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.068 | Best: {'fx': 529.762} (0.115):  82%|████████▏ | 41/50 [00:01<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.062 | Best: {'fx': 529.762} (0.115):  82%|████████▏ | 41/50 [00:01<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.067 | Best: {'fx': 529.762} (0.115):  84%|████████▍ | 42/50 [00:01<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.061 | Best: {'fx': 529.762} (0.115):  86%|████████▌ | 43/50 [00:01<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.063 | Best: {'fx': 529.762} (0.115):  88%|████████▊ | 44/50 [00:01<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.059 | Best: {'fx': 529.762} (0.115):  90%|█████████ | 45/50 [00:02<00:00, 36.46it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.059 | Best: {'fx': 529.762} (0.115):  92%|█████████▏| 46/50 [00:02<00:00, 37.22it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.057 | Best: {'fx': 529.762} (0.115):  92%|█████████▏| 46/50 [00:02<00:00, 37.22it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.056 | Best: {'fx': 529.762} (0.115):  94%|█████████▍| 47/50 [00:02<00:00, 37.22it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.054 | Best: {'fx': 529.762} (0.115):  96%|█████████▌| 48/50 [00:02<00:00, 37.22it/s]Brute | Start: {'fx': 533.333} (0.111) | Current: 0.053 | Best: {'fx': 529.762} (0.115):  98%|█████████▊| 49/50 [00:02<00:00, 37.22it/s]                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 529.7619047619048
    px: 877.0
    py: 964.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


[🔲] Square Reference Optimization
    Including tangential distortion parameters (p1, p2, p3, p4) in joint optimization
  Selecting up to 20 frames per rig (excluded 0 incomplete frames): 80 frames will be used for optimization
  Rigs: 2000R(2000mm):20/20, 1000(1000mm):20/20, 2000L(2000mm):20/20, 1500(1500mm):20/20
  Total: 80/80 frames used for optimization
Initial score: 6.3230: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 6.3230, picklable_objective(x0) = 6.3298
Best score: 6.3298: : 0iter [00:01, ?iter/s] Best score: 6.3298: : 1iter [00:01,  1.99s/iter]Best score: 6.3298: : 1iter [00:02,  1.99s/iter]Best score: 6.3298: : 2iter [00:02,  1.99s/iter]Best score: 6.3298: : 3iter [00:02,  1.72iter/s]Best score: 6.3298: : 3iter [00:02,  1.72iter/s]Best score: 6.3298: : 4iter [00:02,  1.72iter/s]Best score: 6.3298: : 5iter [00:02,  3.06iter/s]Best score: 6.3298: : 5iter [00:02,  3.06iter/s]Best score: 6.3298: : 6iter [00:02,  3.06iter/s]Best score: 6.3298: : 7iter [00:02,  4.44iter/s]Best score: 6.3298: : 7iter [00:02,  4.44iter/s]Best score: 6.3298: : 8iter [00:02,  4.44iter/s]Best score: 6.3298: : 9iter [00:02,  5.79iter/s]Best score: 6.3298: : 9iter [00:02,  5.79iter/s]Best score: 6.3298: : 10iter [00:02,  5.79iter/s]Best score: 6.3298: : 11iter [00:02,  6.93iter/s]Best score: 6.3298: : 11iter [00:02,  6.93iter/s]Best score: 6.3298: : 12iter [00:03,  6.93iter/s]Best score: 6.3298: : 13iter [00:03,  7.97iter/s]Best score: 6.3298: : 13iter [00:03,  7.97iter/s]Best score: 6.3298: : 14iter [00:03,  7.97iter/s]Best score: 6.3298: : 15iter [00:03,  8.81iter/s]Best score: 6.3298: : 15iter [00:03,  8.81iter/s]Best score: 6.3298: : 16iter [00:03,  8.81iter/s]Best score: 6.3298: : 17iter [00:03,  9.49iter/s]Best score: 6.3298: : 17iter [00:03,  9.49iter/s]Best score: 6.3298: : 18iter [00:03,  9.49iter/s]Best score: 6.3298: : 19iter [00:03, 10.04iter/s]Best score: 6.3298: : 19iter [00:03, 10.04iter/s]Best score: 6.3298: : 20iter [00:03, 10.04iter/s]Best score: 6.3298: : 21iter [00:03, 10.27iter/s]Best score: 6.3298: : 21iter [00:03, 10.27iter/s]Best score: 6.3298: : 22iter [00:03, 10.27iter/s]Best score: 6.3298: : 23iter [00:03, 10.60iter/s]Best score: 6.3298: : 23iter [00:04, 10.60iter/s]Best score: 6.3298: : 24iter [00:04, 10.60iter/s]Best score: 6.3298: : 25iter [00:04, 10.85iter/s]Best score: 6.3298: : 25iter [00:04, 10.85iter/s]Best score: 6.3298: : 26iter [00:04, 10.85iter/s]Best score: 6.3298: : 27iter [00:04, 10.99iter/s]Best score: 6.3298: : 27iter [00:04, 10.99iter/s]Best score: 6.3298: : 28iter [00:04, 10.99iter/s]Best score: 6.3298: : 29iter [00:04, 11.18iter/s]Best score: 6.3298: : 29iter [00:04, 11.18iter/s]Best score: 6.3298: : 30iter [00:04, 11.18iter/s]Best score: 6.3298: : 31iter [00:04, 11.15iter/s]Best score: 6.3298: : 31iter [00:04, 11.15iter/s]Best score: 6.3298: : 32iter [00:04, 11.15iter/s]Best score: 6.3298: : 33iter [00:04, 11.24iter/s]Best score: 6.3298: : 33iter [00:04, 11.24iter/s]Best score: 6.3298: : 34iter [00:04, 11.24iter/s]Best score: 6.3298: : 35iter [00:04, 11.32iter/s]Best score: 6.3298: : 35iter [00:05, 11.32iter/s]Best score: 6.3298: : 36iter [00:05, 11.32iter/s]Best score: 6.3298: : 37iter [00:05, 11.37iter/s]Best score: 6.3298: : 37iter [00:05, 11.37iter/s]Best score: 6.3298: : 38iter [00:05, 11.37iter/s]Best score: 6.3298: : 39iter [00:05, 11.47iter/s]Best score: 6.3298: : 39iter [00:05, 11.47iter/s]Best score: 6.3298: : 40iter [00:05, 11.47iter/s]Best score: 6.3298: : 41iter [00:05, 11.34iter/s]Best score: 6.3298: : 41iter [00:05, 11.34iter/s]Best score: 6.3298: : 42iter [00:05, 11.34iter/s]Best score: 6.3298: : 43iter [00:05, 11.43iter/s]Best score: 6.3298: : 43iter [00:05, 11.43iter/s]Best score: 6.3298: : 44iter [00:05, 11.43iter/s]Best score: 6.3298: : 45iter [00:05, 11.48iter/s]Best score: 6.3298: : 45iter [00:05, 11.48iter/s]Best score: 6.3298: : 46iter [00:06, 11.48iter/s]Best score: 6.3298: : 47iter [00:06, 11.49iter/s]Best score: 6.3298: : 47iter [00:06, 11.49iter/s]Best score: 6.3298: : 48iter [00:06, 11.49iter/s]Best score: 6.3298: : 49iter [00:06, 11.53iter/s]
[ITER 50] Best: 6.3298
[PARAMS] Current best parameters:
  fx: 529.7619
  fy: 529.7619
  px: 877.0000
  py: 964.0000
  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: 6.3298: : 49iter [00:06, 11.53iter/s]Best score: 6.3298: : 50iter [00:06, 11.53iter/s]Best score: 6.3298: : 51iter [00:06, 11.38iter/s]Best score: 6.3298: : 51iter [00:06, 11.38iter/s]Best score: 6.3298: : 52iter [00:06, 11.38iter/s]Best score: 6.3298: : 53iter [00:06, 11.45iter/s]Best score: 6.3298: : 53iter [00:06, 11.45iter/s]Best score: 6.3298: : 54iter [00:06, 11.45iter/s]Best score: 6.3298: : 55iter [00:06, 11.49iter/s]Best score: 6.3298: : 55iter [00:06, 11.49iter/s]Best score: 6.3298: : 56iter [00:06, 11.49iter/s]Best score: 6.3298: : 57iter [00:06, 11.53iter/s]Best score: 6.3298: : 57iter [00:06, 11.53iter/s]Best score: 6.3298: : 58iter [00:07, 11.53iter/s]Best score: 6.3298: : 59iter [00:07, 11.54iter/s]Best score: 6.3298: : 59iter [00:07, 11.54iter/s]Best score: 6.3298: : 60iter [00:07, 11.54iter/s]Best score: 6.3298: : 61iter [00:07, 11.48iter/s]Best score: 6.3298: : 61iter [00:07, 11.48iter/s]Best score: 6.3298: : 62iter [00:07, 11.48iter/s]Best score: 6.3298: : 63iter [00:07, 11.55iter/s]Best score: 6.3298: : 63iter [00:07, 11.55iter/s]Best score: 6.3298: : 64iter [00:07, 11.55iter/s]Best score: 6.3298: : 65iter [00:07, 11.63iter/s]Best score: 6.3298: : 65iter [00:07, 11.63iter/s]Best score: 6.3298: : 66iter [00:07, 11.63iter/s]Best score: 6.3298: : 67iter [00:07, 11.64iter/s]Best score: 6.3298: : 67iter [00:07, 11.64iter/s]Best score: 6.3298: : 68iter [00:07, 11.64iter/s]Best score: 6.3298: : 69iter [00:07, 11.63iter/s]Best score: 6.3298: : 69iter [00:08, 11.63iter/s]Best score: 6.3298: : 70iter [00:08, 11.63iter/s]Best score: 6.3298: : 71iter [00:08, 11.53iter/s]Best score: 6.3298: : 71iter [00:08, 11.53iter/s]Best score: 6.3298: : 72iter [00:08, 11.53iter/s]Best score: 6.3298: : 73iter [00:08, 11.61iter/s]Best score: 6.3298: : 73iter [00:08, 11.61iter/s]Best score: 6.3298: : 74iter [00:08, 11.61iter/s]Best score: 6.3298: : 75iter [00:08, 11.64iter/s]Best score: 6.3298: : 75iter [00:08, 11.64iter/s]Best score: 6.3298: : 76iter [00:08, 11.64iter/s]Best score: 6.3298: : 77iter [00:08, 11.63iter/s]Best score: 6.3298: : 77iter [00:08, 11.63iter/s]Best score: 6.3298: : 78iter [00:08, 11.63iter/s]Best score: 6.3298: : 79iter [00:08, 11.68iter/s]Best score: 6.3298: : 79iter [00:08, 11.68iter/s]Best score: 6.3298: : 80iter [00:08, 11.68iter/s]Best score: 6.3298: : 81iter [00:08, 11.56iter/s]Best score: 6.3298: : 81iter [00:09, 11.56iter/s]Best score: 6.3298: : 82iter [00:09, 11.56iter/s]Best score: 6.3298: : 83iter [00:09, 11.59iter/s]Best score: 6.3298: : 83iter [00:09, 11.59iter/s]Best score: 6.3298: : 84iter [00:09, 11.59iter/s]Best score: 6.3298: : 85iter [00:09, 11.61iter/s]Best score: 6.3298: : 85iter [00:09, 11.61iter/s]Best score: 6.3298: : 86iter [00:09, 11.61iter/s]Best score: 6.3298: : 87iter [00:09, 11.63iter/s]Best score: 6.3298: : 87iter [00:09, 11.63iter/s]Best score: 6.3298: : 88iter [00:09, 11.63iter/s]Best score: 6.3298: : 89iter [00:09, 11.69iter/s]Best score: 4.4100: : 89iter [00:09, 11.69iter/s]Best score: 4.4100: : 90iter [00:09, 11.69iter/s]Best score: 4.4100: : 91iter [00:09, 11.52iter/s]Best score: 4.4100: : 91iter [00:09, 11.52iter/s]Best score: 4.4100: : 92iter [00:09, 11.52iter/s]Best score: 4.4100: : 93iter [00:09, 11.59iter/s]Best score: 4.4100: : 93iter [00:10, 11.59iter/s]Best score: 4.4100: : 94iter [00:10, 11.59iter/s]Best score: 4.4100: : 95iter [00:10, 11.61iter/s]Best score: 4.4100: : 95iter [00:10, 11.61iter/s]Best score: 4.4100: : 96iter [00:10, 11.61iter/s]Best score: 4.4100: : 97iter [00:10, 11.68iter/s]Best score: 4.4100: : 97iter [00:10, 11.68iter/s]Best score: 4.4100: : 98iter [00:10, 11.68iter/s]Best score: 4.4100: : 99iter [00:10, 11.67iter/s]
[ITER 100] Best: 2.2463
[PARAMS] Current best parameters:
  fx: 539.0395
  fy: 536.7318
  px: 874.9144
  py: 961.6133
  k1: -0.02746574
  k2: 0.01694105
  k3: 0.00369392
  k4: -0.00393922
  p1: -0.01004887
  p2: -0.00454284
  p3: -0.00113258
  p4: 0.00138472
  s1: 0.0095
  s2: -0.0046
  s3: 0.0054
  s4: -0.0099
  tilt_x: 0.0096
  tilt_y: -0.0122
  scale: 3.0089
  rotation: 0.1480
Best score: 2.2463: : 99iter [00:10, 11.67iter/s]Best score: 2.2463: : 100iter [00:10, 11.67iter/s]Best score: 2.2463: : 101iter [00:10,  9.97iter/s]Best score: 2.2463: : 101iter [00:10,  9.97iter/s]Best score: 2.2463: : 102iter [00:10,  9.97iter/s]Best score: 2.2463: : 103iter [00:10, 10.34iter/s]Best score: 2.2463: : 103iter [00:11, 10.34iter/s]Best score: 2.2463: : 104iter [00:11, 10.34iter/s]Best score: 2.2463: : 105iter [00:11, 10.63iter/s]Best score: 2.2463: : 105iter [00:11, 10.63iter/s]Best score: 2.2463: : 106iter [00:11, 10.63iter/s]Best score: 2.2463: : 107iter [00:11, 10.87iter/s]Best score: 2.2463: : 107iter [00:11, 10.87iter/s]Best score: 2.2463: : 108iter [00:11, 10.87iter/s]Best score: 2.2463: : 109iter [00:11, 11.03iter/s]Best score: 2.2463: : 109iter [00:11, 11.03iter/s]Best score: 2.2463: : 110iter [00:11, 11.03iter/s]Best score: 2.2463: : 111iter [00:11, 10.92iter/s]Best score: 2.2463: : 111iter [00:11, 10.92iter/s]Best score: 2.2463: : 112iter [00:11, 10.92iter/s]Best score: 2.2463: : 113iter [00:11, 11.03iter/s]Best score: 2.2463: : 113iter [00:11, 11.03iter/s]Best score: 2.2463: : 114iter [00:12, 11.03iter/s]Best score: 2.2463: : 115iter [00:12, 11.15iter/s]Best score: 2.2463: : 115iter [00:12, 11.15iter/s]Best score: 2.2463: : 116iter [00:12, 11.15iter/s]Best score: 2.2463: : 117iter [00:12, 11.24iter/s]Best score: 2.2463: : 117iter [00:12, 11.24iter/s]Best score: 2.2463: : 118iter [00:12, 11.24iter/s]Best score: 2.2463: : 119iter [00:12, 11.33iter/s]Best score: 2.2463: : 119iter [00:12, 11.33iter/s]Best score: 2.2463: : 120iter [00:12, 11.33iter/s]Best score: 2.2463: : 121iter [00:12, 11.19iter/s]Best score: 2.2463: : 121iter [00:12, 11.19iter/s]Best score: 2.2463: : 122iter [00:12, 11.19iter/s]Best score: 2.2463: : 123iter [00:12, 11.25iter/s]Best score: 2.2463: : 123iter [00:12, 11.25iter/s]Best score: 2.2463: : 124iter [00:12, 11.25iter/s]Best score: 2.2463: : 125iter [00:12, 11.28iter/s]Best score: 2.2463: : 125iter [00:12, 11.28iter/s]Best score: 2.2463: : 126iter [00:13, 11.28iter/s]Best score: 2.2463: : 127iter [00:13, 11.31iter/s]Best score: 2.2463: : 127iter [00:13, 11.31iter/s]Best score: 2.2463: : 128iter [00:13, 11.31iter/s]Best score: 2.2463: : 129iter [00:13, 11.39iter/s]Best score: 2.2463: : 129iter [00:13, 11.39iter/s]Best score: 2.2463: : 130iter [00:13, 11.39iter/s]Best score: 2.2463: : 131iter [00:13, 11.24iter/s]Best score: 2.2463: : 131iter [00:13, 11.24iter/s]Best score: 2.2463: : 132iter [00:13, 11.24iter/s]Best score: 2.2463: : 133iter [00:13, 11.33iter/s]Best score: 2.2463: : 133iter [00:13, 11.33iter/s]Best score: 2.2463: : 134iter [00:13, 11.33iter/s]Best score: 2.2463: : 135iter [00:13, 11.37iter/s]Best score: 2.2463: : 135iter [00:13, 11.37iter/s]Best score: 2.2463: : 136iter [00:13, 11.37iter/s]Best score: 2.2463: : 137iter [00:13, 11.40iter/s]Best score: 2.2463: : 137iter [00:14, 11.40iter/s]Best score: 2.2463: : 138iter [00:14, 11.40iter/s]Best score: 2.2463: : 139iter [00:14, 11.45iter/s]Best score: 2.2463: : 139iter [00:14, 11.45iter/s]Best score: 2.2463: : 140iter [00:14, 11.45iter/s]Best score: 2.2463: : 141iter [00:14, 11.23iter/s]Best score: 2.2463: : 141iter [00:14, 11.23iter/s]Best score: 2.2463: : 142iter [00:14, 11.23iter/s]Best score: 2.2463: : 143iter [00:14, 11.33iter/s]Best score: 2.2463: : 143iter [00:14, 11.33iter/s]Best score: 2.2463: : 144iter [00:14, 11.33iter/s]Best score: 2.2463: : 145iter [00:14, 11.41iter/s]Best score: 2.2463: : 145iter [00:14, 11.41iter/s]Best score: 2.2463: : 146iter [00:14, 11.41iter/s]Best score: 2.2463: : 147iter [00:14, 11.47iter/s]Best score: 2.2463: : 147iter [00:14, 11.47iter/s]Best score: 2.2463: : 148iter [00:15, 11.47iter/s]Best score: 2.2463: : 149iter [00:15, 11.51iter/s]
[ITER 150] Best: 2.2463
[PARAMS] Current best parameters:
  fx: 539.0395
  fy: 536.7318
  px: 874.9144
  py: 961.6133
  k1: -0.02746574
  k2: 0.01694105
  k3: 0.00369392
  k4: -0.00393922
  p1: -0.01004887
  p2: -0.00454284
  p3: -0.00113258
  p4: 0.00138472
  s1: 0.0095
  s2: -0.0046
  s3: 0.0054
  s4: -0.0099
  tilt_x: 0.0096
  tilt_y: -0.0122
  scale: 3.0089
  rotation: 0.1480
Best score: 2.2463: : 149iter [00:15, 11.51iter/s]Best score: 2.2463: : 150iter [00:15, 11.51iter/s]Best score: 2.2463: : 151iter [00:15,  7.50iter/s]Best score: 2.2463: : 151iter [00:15,  7.50iter/s]Best score: 2.2463: : 152iter [00:15,  7.50iter/s]Best score: 2.2463: : 153iter [00:15,  8.34iter/s]Best score: 2.2463: : 153iter [00:15,  8.34iter/s]Best score: 2.2463: : 154iter [00:15,  8.34iter/s]Best score: 2.2463: : 155iter [00:15,  9.12iter/s]Best score: 2.2463: : 155iter [00:15,  9.12iter/s]Best score: 2.2463: : 156iter [00:16,  9.12iter/s]Best score: 2.2463: : 157iter [00:16,  9.74iter/s]Best score: 2.2463: : 157iter [00:16,  9.74iter/s]Best score: 2.2463: : 158iter [00:16,  9.74iter/s]Best score: 2.2463: : 159iter [00:16, 10.26iter/s]Best score: 2.2463: : 159iter [00:16, 10.26iter/s]Best score: 2.2463: : 160iter [00:16, 10.26iter/s]Best score: 2.2463: : 161iter [00:16, 10.47iter/s]Best score: 2.2463: : 161iter [00:16, 10.47iter/s]Best score: 2.2463: : 162iter [00:16, 10.47iter/s]Best score: 2.2463: : 163iter [00:16, 10.77iter/s]Best score: 2.2463: : 163iter [00:16, 10.77iter/s]Best score: 2.2463: : 164iter [00:16, 10.77iter/s]Best score: 2.2463: : 165iter [00:16, 11.06iter/s]Best score: 2.2463: : 165iter [00:16, 11.06iter/s]Best score: 2.2463: : 166iter [00:16, 11.06iter/s]Best score: 2.2463: : 167iter [00:16, 11.25iter/s]Best score: 2.2463: : 167iter [00:16, 11.25iter/s]Best score: 2.2463: : 168iter [00:17, 11.25iter/s]Best score: 2.2463: : 169iter [00:17, 11.39iter/s]Best score: 2.2463: : 169iter [00:17, 11.39iter/s]Best score: 2.2463: : 170iter [00:17, 11.39iter/s]Best score: 2.2463: : 171iter [00:17, 11.31iter/s]Best score: 2.2463: : 171iter [00:17, 11.31iter/s]Best score: 2.2463: : 172iter [00:17, 11.31iter/s]Best score: 2.2463: : 173iter [00:17, 11.42iter/s]Best score: 2.2463: : 173iter [00:17, 11.42iter/s]Best score: 2.2463: : 174iter [00:17, 11.42iter/s]Best score: 2.2463: : 175iter [00:17, 11.48iter/s]Best score: 2.2463: : 175iter [00:17, 11.48iter/s]Best score: 2.2463: : 176iter [00:17, 11.48iter/s]Best score: 2.2463: : 177iter [00:17, 11.59iter/s]Best score: 2.2463: : 177iter [00:17, 11.59iter/s]Best score: 2.2463: : 178iter [00:17, 11.59iter/s]Best score: 2.2463: : 179iter [00:17, 11.67iter/s]Best score: 2.2463: : 179iter [00:17, 11.67iter/s]Best score: 2.2463: : 180iter [00:18, 11.67iter/s]Best score: 2.2463: : 181iter [00:18, 11.50iter/s]Best score: 2.2463: : 181iter [00:18, 11.50iter/s]Best score: 2.2463: : 182iter [00:18, 11.50iter/s]Best score: 2.2463: : 183iter [00:18, 11.54iter/s]Best score: 2.2463: : 183iter [00:18, 11.54iter/s]Best score: 2.2463: : 184iter [00:18, 11.54iter/s]Best score: 2.2463: : 185iter [00:18, 11.62iter/s]Best score: 2.2463: : 185iter [00:18, 11.62iter/s]Best score: 2.2463: : 186iter [00:18, 11.62iter/s]Best score: 2.2463: : 187iter [00:18, 11.69iter/s]Best score: 2.2463: : 187iter [00:18, 11.69iter/s]Best score: 2.2463: : 188iter [00:18, 11.69iter/s]Best score: 2.2463: : 189iter [00:18, 11.68iter/s]Best score: 2.2463: : 189iter [00:18, 11.68iter/s]Best score: 2.2463: : 190iter [00:18, 11.68iter/s]Best score: 2.2463: : 191iter [00:18, 11.53iter/s]Best score: 2.2463: : 191iter [00:19, 11.53iter/s]Best score: 2.2463: : 192iter [00:19, 11.53iter/s]Best score: 2.2463: : 193iter [00:19, 11.59iter/s]Best score: 2.2463: : 193iter [00:19, 11.59iter/s]Best score: 2.2463: : 194iter [00:19, 11.59iter/s]Best score: 2.2463: : 195iter [00:19, 11.66iter/s]Best score: 2.2463: : 195iter [00:19, 11.66iter/s]Best score: 2.2463: : 196iter [00:19, 11.66iter/s]Best score: 2.2463: : 197iter [00:19, 11.71iter/s]Best score: 2.2463: : 197iter [00:19, 11.71iter/s]Best score: 2.2463: : 198iter [00:19, 11.71iter/s]Best score: 2.2463: : 199iter [00:19, 11.76iter/s]
[ITER 200] Best: 2.2463
[PARAMS] Current best parameters:
  fx: 539.0395
  fy: 536.7318
  px: 874.9144
  py: 961.6133
  k1: -0.02746574
  k2: 0.01694105
  k3: 0.00369392
  k4: -0.00393922
  p1: -0.01004887
  p2: -0.00454284
  p3: -0.00113258
  p4: 0.00138472
  s1: 0.0095
  s2: -0.0046
  s3: 0.0054
  s4: -0.0099
  tilt_x: 0.0096
  tilt_y: -0.0122
  scale: 3.0089
  rotation: 0.1480
Best score: 2.2463: : 199iter [00:19, 11.76iter/s]Best score: 2.2463: : 200iter [00:20, 11.76iter/s]Best score: 2.2463: : 201iter [00:20,  7.56iter/s]Best score: 2.2463: : 201iter [00:20,  7.56iter/s]Best score: 2.2463: : 202iter [00:20,  7.56iter/s]Best score: 2.2463: : 203iter [00:20,  8.45iter/s]Best score: 2.2463: : 203iter [00:20,  8.45iter/s]Best score: 2.2463: : 204iter [00:20,  8.45iter/s]Best score: 2.2463: : 205iter [00:20,  9.23iter/s]Best score: 2.2463: : 205iter [00:20,  9.23iter/s]Best score: 2.2463: : 206iter [00:20,  9.23iter/s]Best score: 2.2463: : 207iter [00:20,  9.84iter/s]Best score: 2.2463: : 207iter [00:20,  9.84iter/s]Best score: 2.2463: : 208iter [00:20,  9.84iter/s]Best score: 2.2463: : 209iter [00:20, 10.29iter/s]Best score: 2.2463: : 209iter [00:20, 10.29iter/s]Best score: 2.2463: : 210iter [00:20, 10.29iter/s]Best score: 2.2463: : 211iter [00:20, 10.51iter/s]Best score: 2.2463: : 211iter [00:21, 10.51iter/s]Best score: 2.2463: : 212iter [00:21, 10.51iter/s]Best score: 2.2463: : 213iter [00:21, 10.88iter/s]Best score: 2.2463: : 213iter [00:21, 10.88iter/s]Best score: 2.2463: : 214iter [00:21, 10.88iter/s]Best score: 2.2463: : 215iter [00:21, 11.09iter/s]Best score: 2.2463: : 215iter [00:21, 11.09iter/s]Best score: 2.2463: : 216iter [00:21, 11.09iter/s]Best score: 2.2463: : 217iter [00:21, 11.29iter/s]Best score: 2.2463: : 217iter [00:21, 11.29iter/s]Best score: 2.2463: : 218iter [00:21, 11.29iter/s]Best score: 2.2463: : 219iter [00:21, 11.43iter/s]Best score: 1.1741: : 219iter [00:21, 11.43iter/s]Best score: 1.1741: : 220iter [00:21, 11.43iter/s]Best score: 1.1741: : 221iter [00:21, 11.36iter/s]Best score: 1.1741: : 221iter [00:21, 11.36iter/s]Best score: 1.1741: : 222iter [00:22, 11.36iter/s]Best score: 1.1741: : 223iter [00:22, 11.48iter/s]Best score: 1.1741: : 223iter [00:22, 11.48iter/s]Best score: 1.1741: : 224iter [00:22, 11.48iter/s]Best score: 1.1741: : 225iter [00:22, 11.57iter/s]Best score: 1.1741: : 225iter [00:22, 11.57iter/s]Best score: 1.1741: : 226iter [00:22, 11.57iter/s]Best score: 1.1741: : 227iter [00:22, 11.62iter/s]Best score: 1.1741: : 227iter [00:22, 11.62iter/s]Best score: 1.1741: : 228iter [00:22, 11.62iter/s]Best score: 1.1741: : 229iter [00:22, 11.67iter/s]Best score: 1.1741: : 229iter [00:22, 11.67iter/s]Best score: 1.1741: : 230iter [00:22, 11.67iter/s]Best score: 1.1741: : 231iter [00:22, 11.49iter/s]Best score: 1.1741: : 231iter [00:22, 11.49iter/s]Best score: 1.1741: : 232iter [00:22, 11.49iter/s]Best score: 1.1741: : 233iter [00:22, 11.57iter/s]Best score: 1.1741: : 233iter [00:22, 11.57iter/s]Best score: 1.1741: : 234iter [00:23, 11.57iter/s]Best score: 1.1741: : 235iter [00:23, 11.59iter/s]Best score: 1.1741: : 235iter [00:23, 11.59iter/s]Best score: 1.1741: : 236iter [00:23, 11.59iter/s]Best score: 1.1741: : 237iter [00:23, 11.62iter/s]Best score: 1.1741: : 237iter [00:23, 11.62iter/s]Best score: 1.1741: : 238iter [00:23, 11.62iter/s]Best score: 1.1741: : 239iter [00:23, 11.68iter/s]Best score: 1.1741: : 239iter [00:23, 11.68iter/s]Best score: 1.1741: : 240iter [00:23, 11.68iter/s]Best score: 1.1741: : 241iter [00:23, 11.53iter/s]Best score: 1.1741: : 241iter [00:23, 11.53iter/s]Best score: 1.1741: : 242iter [00:23, 11.53iter/s]Best score: 1.1741: : 243iter [00:23, 11.58iter/s]Best score: 1.1741: : 243iter [00:23, 11.58iter/s]Best score: 1.1741: : 244iter [00:23, 11.58iter/s]Best score: 1.1741: : 245iter [00:23, 11.62iter/s]Best score: 1.1741: : 245iter [00:23, 11.62iter/s]Best score: 1.1741: : 246iter [00:24, 11.62iter/s]Best score: 1.1741: : 247iter [00:24, 11.65iter/s]Best score: 1.1741: : 247iter [00:24, 11.65iter/s]Best score: 1.1741: : 248iter [00:24, 11.65iter/s]Best score: 1.1741: : 249iter [00:24, 11.71iter/s]
[ITER 250] Best: 1.0863
[PARAMS] Current best parameters:
  fx: 532.0514
  fy: 531.6953
  px: 872.5561
  py: 958.7422
  k1: -0.04698083
  k2: 0.04057655
  k3: -0.00131095
  k4: -0.00486731
  p1: -0.01094174
  p2: -0.00494825
  p3: -0.01282073
  p4: 0.01335188
  s1: 0.0157
  s2: -0.0111
  s3: 0.0015
  s4: -0.0065
  tilt_x: -0.0043
  tilt_y: -0.0106
  scale: 3.0666
  rotation: 0.4574
Best score: 1.0863: : 249iter [00:24, 11.71iter/s]
[Periodic outlier @ iter 150] Removing 2000L frame 12 (score=12.35, threshold=10.09)
  Remaining frames: 79
Best score: 1.0863: : 250iter [00:25, 11.71iter/s]Best score: 1.0863: : 251iter [00:25,  5.67iter/s]Best score: 1.0863: : 251iter [00:25,  5.67iter/s]Best score: 1.0863: : 252iter [00:25,  5.67iter/s]Best score: 1.0863: : 253iter [00:25,  6.69iter/s]Best score: 1.0863: : 253iter [00:25,  6.69iter/s]Best score: 1.0863: : 254iter [00:25,  6.69iter/s]Best score: 1.0863: : 255iter [00:25,  7.67iter/s]Best score: 1.0863: : 255iter [00:25,  7.67iter/s]Best score: 1.0863: : 256iter [00:25,  7.67iter/s]Best score: 1.0863: : 257iter [00:25,  8.54iter/s]Best score: 1.0863: : 257iter [00:25,  8.54iter/s]Best score: 1.0863: : 258iter [00:25,  8.54iter/s]Best score: 1.0863: : 259iter [00:25,  9.28iter/s]Best score: 0.9548: : 259iter [00:25,  9.28iter/s]Best score: 0.9548: : 260iter [00:25,  9.28iter/s]Best score: 0.9548: : 261iter [00:25,  9.69iter/s]Best score: 0.9548: : 261iter [00:25,  9.69iter/s]Best score: 0.9548: : 262iter [00:26,  9.69iter/s]Best score: 0.9548: : 263iter [00:26, 10.19iter/s]Best score: 0.9548: : 263iter [00:26, 10.19iter/s]Best score: 0.9548: : 264iter [00:26, 10.19iter/s]Best score: 0.9548: : 265iter [00:26, 10.53iter/s]Best score: 0.9548: : 265iter [00:26, 10.53iter/s]Best score: 0.9548: : 266iter [00:26, 10.53iter/s]Best score: 0.9548: : 267iter [00:26, 10.84iter/s]Best score: 0.9548: : 267iter [00:26, 10.84iter/s]Best score: 0.9548: : 268iter [00:26, 10.84iter/s]Best score: 0.9548: : 269iter [00:26, 11.04iter/s]Best score: 0.9548: : 269iter [00:26, 11.04iter/s]Best score: 0.9548: : 270iter [00:26, 11.04iter/s]Best score: 0.9548: : 271iter [00:26, 11.03iter/s]Best score: 0.9548: : 271iter [00:26, 11.03iter/s]Best score: 0.9548: : 272iter [00:26, 11.03iter/s]Best score: 0.9548: : 273iter [00:26, 11.24iter/s]Best score: 0.9548: : 273iter [00:27, 11.24iter/s]Best score: 0.9548: : 274iter [00:27, 11.24iter/s]Best score: 0.9548: : 275iter [00:27, 11.37iter/s]Best score: 0.9548: : 275iter [00:27, 11.37iter/s]Best score: 0.9548: : 276iter [00:27, 11.37iter/s]Best score: 0.9548: : 277iter [00:27, 11.45iter/s]Best score: 0.9548: : 277iter [00:27, 11.45iter/s]Best score: 0.9548: : 278iter [00:27, 11.45iter/s]Best score: 0.9548: : 279iter [00:27, 11.48iter/s]Best score: 0.9548: : 279iter [00:27, 11.48iter/s]Best score: 0.9548: : 280iter [00:27, 11.48iter/s]Best score: 0.9548: : 281iter [00:27, 11.30iter/s]Best score: 0.9548: : 281iter [00:27, 11.30iter/s]Best score: 0.9548: : 282iter [00:27, 11.30iter/s]Best score: 0.9548: : 283iter [00:27, 11.37iter/s]Best score: 0.9548: : 283iter [00:27, 11.37iter/s]Best score: 0.9548: : 284iter [00:27, 11.37iter/s]Best score: 0.9548: : 285iter [00:27, 11.45iter/s]Best score: 0.9548: : 285iter [00:28, 11.45iter/s]Best score: 0.9548: : 286iter [00:28, 11.45iter/s]Best score: 0.9548: : 287iter [00:28, 11.50iter/s]Best score: 0.9548: : 287iter [00:28, 11.50iter/s]Best score: 0.9548: : 288iter [00:28, 11.50iter/s]Best score: 0.9548: : 289iter [00:28, 11.52iter/s]Best score: 0.9548: : 289iter [00:28, 11.52iter/s]Best score: 0.9548: : 290iter [00:28, 11.52iter/s]Best score: 0.9548: : 291iter [00:28, 11.33iter/s]Best score: 0.9548: : 291iter [00:28, 11.33iter/s]Best score: 0.9548: : 292iter [00:28, 11.33iter/s]Best score: 0.9548: : 293iter [00:28, 11.40iter/s]Best score: 0.9548: : 293iter [00:28, 11.40iter/s]Best score: 0.9548: : 294iter [00:28, 11.40iter/s]Best score: 0.9548: : 295iter [00:28, 11.42iter/s]Best score: 0.9548: : 295iter [00:28, 11.42iter/s]Best score: 0.9548: : 296iter [00:29, 11.42iter/s]Best score: 0.9548: : 297iter [00:29, 11.49iter/s]Best score: 0.9548: : 297iter [00:29, 11.49iter/s]Best score: 0.9548: : 298iter [00:29, 11.49iter/s]Best score: 0.9548: : 299iter [00:29, 11.51iter/s]
[ITER 300] Best: 0.9548
[PARAMS] Current best parameters:
  fx: 532.0514
  fy: 531.6953
  px: 872.5561
  py: 958.7422
  k1: -0.04698083
  k2: 0.04057655
  k3: -0.00131095
  k4: -0.00486731
  p1: -0.01094174
  p2: -0.00494825
  p3: -0.01282073
  p4: 0.01335188
  s1: 0.0157
  s2: -0.0111
  s3: 0.0015
  s4: -0.0065
  tilt_x: -0.0043
  tilt_y: -0.0106
  scale: 3.0666
  rotation: 0.4574
Best score: 0.9548: : 299iter [00:29, 11.51iter/s]Best score: 0.9548: : 300iter [00:29, 11.51iter/s]Best score: 0.9548: : 301iter [00:29,  7.51iter/s]Best score: 0.9548: : 301iter [00:29,  7.51iter/s]Best score: 0.9548: : 302iter [00:29,  7.51iter/s]Best score: 0.9548: : 303iter [00:29,  8.39iter/s]Best score: 0.9548: : 303iter [00:29,  8.39iter/s]Best score: 0.9548: : 304iter [00:30,  8.39iter/s]Best score: 0.9548: : 305iter [00:30,  9.13iter/s]Best score: 0.9548: : 305iter [00:30,  9.13iter/s]Best score: 0.9548: : 306iter [00:30,  9.13iter/s]Best score: 0.9548: : 307iter [00:30,  9.78iter/s]Best score: 0.9548: : 307iter [00:30,  9.78iter/s]Best score: 0.9548: : 308iter [00:30,  9.78iter/s]Best score: 0.9548: : 309iter [00:30, 10.26iter/s]Best score: 0.9548: : 309iter [00:30, 10.26iter/s]Best score: 0.9548: : 310iter [00:30, 10.26iter/s]Best score: 0.9548: : 311iter [00:30, 10.48iter/s]Best score: 0.9548: : 311iter [00:30, 10.48iter/s]Best score: 0.9548: : 312iter [00:30, 10.48iter/s]Best score: 0.9548: : 313iter [00:30, 10.86iter/s]Best score: 0.9548: : 313iter [00:30, 10.86iter/s]Best score: 0.9548: : 314iter [00:30, 10.86iter/s]Best score: 0.9548: : 315iter [00:30, 11.09iter/s]Best score: 0.9548: : 315iter [00:30, 11.09iter/s]Best score: 0.9548: : 316iter [00:31, 11.09iter/s]Best score: 0.9548: : 317iter [00:31, 11.25iter/s]Best score: 0.9548: : 317iter [00:31, 11.25iter/s]Best score: 0.9548: : 318iter [00:31, 11.25iter/s]Best score: 0.9548: : 319iter [00:31, 11.42iter/s]Best score: 0.9548: : 319iter [00:31, 11.42iter/s]Best score: 0.9548: : 320iter [00:31, 11.42iter/s]Best score: 0.9548: : 321iter [00:31, 11.35iter/s]Best score: 0.9548: : 321iter [00:31, 11.35iter/s]Best score: 0.9548: : 322iter [00:31, 11.35iter/s]Best score: 0.9548: : 323iter [00:31, 11.45iter/s]Best score: 0.9548: : 323iter [00:31, 11.45iter/s]Best score: 0.9548: : 324iter [00:31, 11.45iter/s]Best score: 0.9548: : 325iter [00:31, 11.52iter/s]Best score: 0.9548: : 325iter [00:31, 11.52iter/s]Best score: 0.9548: : 326iter [00:31, 11.52iter/s]Best score: 0.9548: : 327iter [00:31, 11.56iter/s]Best score: 0.9548: : 327iter [00:32, 11.56iter/s]Best score: 0.9548: : 328iter [00:32, 11.56iter/s]Best score: 0.9548: : 329iter [00:32, 11.64iter/s]Best score: 0.9548: : 329iter [00:32, 11.64iter/s]Best score: 0.9548: : 330iter [00:32, 11.64iter/s]Best score: 0.9548: : 331iter [00:32, 11.51iter/s]Best score: 0.9548: : 331iter [00:32, 11.51iter/s]Best score: 0.9548: : 332iter [00:32, 11.51iter/s]Best score: 0.9548: : 333iter [00:32, 11.61iter/s]Best score: 0.9548: : 333iter [00:32, 11.61iter/s]Best score: 0.9548: : 334iter [00:32, 11.61iter/s]Best score: 0.9548: : 335iter [00:32, 11.60iter/s]Best score: 0.9548: : 335iter [00:32, 11.60iter/s]Best score: 0.9548: : 336iter [00:32, 11.60iter/s]Best score: 0.9548: : 337iter [00:32, 11.68iter/s]Best score: 0.9548: : 337iter [00:32, 11.68iter/s]Best score: 0.9548: : 338iter [00:32, 11.68iter/s]Best score: 0.9548: : 339iter [00:32, 11.67iter/s]Best score: 0.9548: : 339iter [00:33, 11.67iter/s]Best score: 0.9548: : 340iter [00:33, 11.67iter/s]Best score: 0.9548: : 341iter [00:33, 11.49iter/s]Best score: 0.9548: : 341iter [00:33, 11.49iter/s]Best score: 0.9548: : 342iter [00:33, 11.49iter/s]Best score: 0.9548: : 343iter [00:33, 11.62iter/s]Best score: 0.9548: : 343iter [00:33, 11.62iter/s]Best score: 0.9548: : 344iter [00:33, 11.62iter/s]Best score: 0.9548: : 345iter [00:33, 11.70iter/s]Best score: 0.9548: : 345iter [00:33, 11.70iter/s]Best score: 0.9548: : 346iter [00:33, 11.70iter/s]Best score: 0.9548: : 347iter [00:33, 11.74iter/s]Best score: 0.9548: : 347iter [00:33, 11.74iter/s]Best score: 0.9548: : 348iter [00:33, 11.74iter/s]Best score: 0.9548: : 349iter [00:33, 11.77iter/s]
[ITER 350] Best: 0.9548
[PARAMS] Current best parameters:
  fx: 532.0514
  fy: 531.6953
  px: 872.5561
  py: 958.7422
  k1: -0.04698083
  k2: 0.04057655
  k3: -0.00131095
  k4: -0.00486731
  p1: -0.01094174
  p2: -0.00494825
  p3: -0.01282073
  p4: 0.01335188
  s1: 0.0157
  s2: -0.0111
  s3: 0.0015
  s4: -0.0065
  tilt_x: -0.0043
  tilt_y: -0.0106
  scale: 3.0666
  rotation: 0.4574
Best score: 0.9548: : 349iter [00:33, 11.77iter/s]Best score: 0.9548: : 350iter [00:34, 11.77iter/s]Best score: 0.9548: : 351iter [00:34,  7.56iter/s]Best score: 0.9548: : 351iter [00:34,  7.56iter/s]Best score: 0.9548: : 352iter [00:34,  7.56iter/s]Best score: 0.9548: : 353iter [00:34,  8.46iter/s]Best score: 0.9548: : 353iter [00:34,  8.46iter/s]Best score: 0.9548: : 354iter [00:34,  8.46iter/s]Best score: 0.9548: : 355iter [00:34,  9.24iter/s]Best score: 0.9548: : 355iter [00:34,  9.24iter/s]Best score: 0.9548: : 356iter [00:34,  9.24iter/s]Best score: 0.9548: : 357iter [00:34,  9.88iter/s]Best score: 0.9548: : 357iter [00:34,  9.88iter/s]Best score: 0.9548: : 358iter [00:34,  9.88iter/s]Best score: 0.9548: : 359iter [00:34, 10.36iter/s]Best score: 0.9548: : 359iter [00:35, 10.36iter/s]Best score: 0.9548: : 360iter [00:35, 10.36iter/s]Best score: 0.9548: : 361iter [00:35, 10.60iter/s]Best score: 0.9548: : 361iter [00:35, 10.60iter/s]Best score: 0.9548: : 362iter [00:35, 10.60iter/s]Best score: 0.9548: : 363iter [00:35, 10.93iter/s]Best score: 0.9548: : 363iter [00:35, 10.93iter/s]Best score: 0.9548: : 364iter [00:35, 10.93iter/s]Best score: 0.9548: : 365iter [00:35, 11.19iter/s]Best score: 0.9548: : 365iter [00:35, 11.19iter/s]Best score: 0.9548: : 366iter [00:35, 11.19iter/s]Best score: 0.9548: : 367iter [00:35, 11.40iter/s]Best score: 0.9548: : 367iter [00:35, 11.40iter/s]Best score: 0.9548: : 368iter [00:35, 11.40iter/s]Best score: 0.9548: : 369iter [00:35, 11.49iter/s]Best score: 0.9548: : 369iter [00:35, 11.49iter/s]Best score: 0.9548: : 370iter [00:36, 11.49iter/s]Best score: 0.9548: : 371iter [00:36, 11.42iter/s]Best score: 0.9548: : 371iter [00:36, 11.42iter/s]Best score: 0.9548: : 372iter [00:36, 11.42iter/s]Best score: 0.9548: : 373iter [00:36, 11.54iter/s]Best score: 0.9548: : 373iter [00:36, 11.54iter/s]Best score: 0.9548: : 374iter [00:36, 11.54iter/s]Best score: 0.9548: : 375iter [00:36, 11.63iter/s]Best score: 0.9548: : 375iter [00:36, 11.63iter/s]Best score: 0.9548: : 376iter [00:36, 11.63iter/s]Best score: 0.9548: : 377iter [00:36, 11.71iter/s]Best score: 0.9548: : 377iter [00:36, 11.71iter/s]Best score: 0.9548: : 378iter [00:36, 11.71iter/s]Best score: 0.9548: : 379iter [00:36, 11.75iter/s]Best score: 0.9548: : 379iter [00:36, 11.75iter/s]Best score: 0.9548: : 380iter [00:36, 11.75iter/s]Best score: 0.9548: : 381iter [00:36, 11.56iter/s]Best score: 0.9548: : 381iter [00:36, 11.56iter/s]Best score: 0.9548: : 382iter [00:37, 11.56iter/s]Best score: 0.9548: : 383iter [00:37, 11.63iter/s]Best score: 0.9548: : 383iter [00:37, 11.63iter/s]Best score: 0.9548: : 384iter [00:37, 11.63iter/s]Best score: 0.9548: : 385iter [00:37, 11.67iter/s]Best score: 0.9548: : 385iter [00:37, 11.67iter/s]Best score: 0.9548: : 386iter [00:37, 11.67iter/s]Best score: 0.9548: : 387iter [00:37, 11.71iter/s]Best score: 0.9548: : 387iter [00:37, 11.71iter/s]Best score: 0.9548: : 388iter [00:37, 11.71iter/s]Best score: 0.9548: : 389iter [00:37, 11.73iter/s]Best score: 0.9548: : 389iter [00:37, 11.73iter/s]Best score: 0.9548: : 390iter [00:37, 11.73iter/s]Best score: 0.9548: : 391iter [00:37, 11.57iter/s]Best score: 0.9548: : 391iter [00:37, 11.57iter/s]Best score: 0.9548: : 392iter [00:37, 11.57iter/s]Best score: 0.9548: : 393iter [00:37, 11.62iter/s]Best score: 0.9548: : 393iter [00:37, 11.62iter/s]Best score: 0.9548: : 394iter [00:38, 11.62iter/s]Best score: 0.9548: : 395iter [00:38, 11.65iter/s]Best score: 0.9548: : 395iter [00:38, 11.65iter/s]Best score: 0.9548: : 396iter [00:38, 11.65iter/s]Best score: 0.9548: : 397iter [00:38, 11.71iter/s]Best score: 0.9548: : 397iter [00:38, 11.71iter/s]Best score: 0.9548: : 398iter [00:38, 11.71iter/s]Best score: 0.9548: : 399iter [00:38, 11.77iter/s]
[ITER 400] Best: 0.9548
[PARAMS] Current best parameters:
  fx: 532.0514
  fy: 531.6953
  px: 872.5561
  py: 958.7422
  k1: -0.04698083
  k2: 0.04057655
  k3: -0.00131095
  k4: -0.00486731
  p1: -0.01094174
  p2: -0.00494825
  p3: -0.01282073
  p4: 0.01335188
  s1: 0.0157
  s2: -0.0111
  s3: 0.0015
  s4: -0.0065
  tilt_x: -0.0043
  tilt_y: -0.0106
  scale: 3.0666
  rotation: 0.4574
Best score: 0.9548: : 399iter [00:38, 11.77iter/s]Best score: 0.9548: : 400iter [00:38, 11.77iter/s]Best score: 0.9548: : 401iter [00:38,  7.58iter/s]Best score: 0.9548: : 401iter [00:38,  7.58iter/s]Best score: 0.9548: : 402iter [00:39,  7.58iter/s]Best score: 0.9548: : 403iter [00:39,  8.51iter/s]Best score: 0.9548: : 403iter [00:39,  8.51iter/s]Best score: 0.9548: : 404iter [00:39,  8.51iter/s]Best score: 0.9548: : 405iter [00:39,  9.31iter/s]Best score: 0.9548: : 405iter [00:39,  9.31iter/s]Best score: 0.9548: : 406iter [00:39,  9.31iter/s]Best score: 0.9548: : 407iter [00:39,  9.94iter/s]Best score: 0.9548: : 407iter [00:39,  9.94iter/s]Best score: 0.9548: : 408iter [00:39,  9.94iter/s]Best score: 0.9548: : 409iter [00:39, 10.46iter/s]Best score: 0.9548: : 409iter [00:39, 10.46iter/s]Best score: 0.9548: : 410iter [00:39, 10.46iter/s]Best score: 0.9548: : 411iter [00:39, 10.68iter/s]Best score: 0.9548: : 411iter [00:39, 10.68iter/s]Best score: 0.9548: : 412iter [00:39, 10.68iter/s]Best score: 0.9548: : 413iter [00:39, 11.01iter/s]Best score: 0.9548: : 413iter [00:39, 11.01iter/s]Best score: 0.9548: : 414iter [00:40, 11.01iter/s]Best score: 0.9548: : 415iter [00:40, 11.26iter/s]Best score: 0.9548: : 415iter [00:40, 11.26iter/s]Best score: 0.9548: : 416iter [00:40, 11.26iter/s]Best score: 0.9548: : 417iter [00:40, 11.41iter/s]Best score: 0.9548: : 417iter [00:40, 11.41iter/s]Best score: 0.9548: : 418iter [00:40, 11.41iter/s]Best score: 0.9548: : 419iter [00:40, 11.57iter/s]Best score: 0.6132: : 419iter [00:40, 11.57iter/s]Best score: 0.6132: : 420iter [00:40, 11.57iter/s]Best score: 0.6132: : 421iter [00:40, 11.43iter/s]Best score: 0.6132: : 421iter [00:40, 11.43iter/s]Best score: 0.6132: : 422iter [00:40, 11.43iter/s]Best score: 0.6132: : 423iter [00:40, 11.58iter/s]Best score: 0.6132: : 423iter [00:40, 11.58iter/s]Best score: 0.6132: : 424iter [00:40, 11.58iter/s]Best score: 0.6132: : 425iter [00:40, 11.62iter/s]Best score: 0.6132: : 425iter [00:41, 11.62iter/s]Best score: 0.6132: : 426iter [00:41, 11.62iter/s]Best score: 0.6132: : 427iter [00:41, 11.69iter/s]Best score: 0.6132: : 427iter [00:41, 11.69iter/s]Best score: 0.6132: : 428iter [00:41, 11.69iter/s]Best score: 0.6132: : 429iter [00:41, 11.74iter/s]Best score: 0.6132: : 429iter [00:41, 11.74iter/s]Best score: 0.6132: : 430iter [00:41, 11.74iter/s]Best score: 0.6132: : 431iter [00:41, 11.60iter/s]Best score: 0.6132: : 431iter [00:41, 11.60iter/s]Best score: 0.6132: : 432iter [00:41, 11.60iter/s]Best score: 0.6132: : 433iter [00:41, 11.70iter/s]Best score: 0.6132: : 433iter [00:41, 11.70iter/s]Best score: 0.6132: : 434iter [00:41, 11.70iter/s]Best score: 0.6132: : 435iter [00:41, 11.75iter/s]Best score: 0.6132: : 435iter [00:41, 11.75iter/s]Best score: 0.6132: : 436iter [00:41, 11.75iter/s]Best score: 0.6132: : 437iter [00:41, 11.78iter/s]Best score: 0.6132: : 437iter [00:42, 11.78iter/s]Best score: 0.6132: : 438iter [00:42, 11.78iter/s]Best score: 0.6132: : 439iter [00:42, 11.73iter/s]Best score: 0.4839: : 439iter [00:42, 11.73iter/s]Best score: 0.4839: : 440iter [00:42, 11.73iter/s]Best score: 0.4839: : 441iter [00:42, 11.54iter/s]Best score: 0.4839: : 441iter [00:42, 11.54iter/s]Best score: 0.4839: : 442iter [00:42, 11.54iter/s]Best score: 0.4839: : 443iter [00:42, 11.66iter/s]Best score: 0.4839: : 443iter [00:42, 11.66iter/s]Best score: 0.4839: : 444iter [00:42, 11.66iter/s]Best score: 0.4839: : 445iter [00:42, 11.73iter/s]Best score: 0.4839: : 445iter [00:42, 11.73iter/s]Best score: 0.4839: : 446iter [00:42, 11.73iter/s]Best score: 0.4839: : 447iter [00:42, 11.76iter/s]Best score: 0.4839: : 447iter [00:42, 11.76iter/s]Best score: 0.4839: : 448iter [00:42, 11.76iter/s]Best score: 0.4839: : 449iter [00:42, 11.82iter/s]
[ITER 450] Best: 0.4839
[PARAMS] Current best parameters:
  fx: 539.4376
  fy: 539.9489
  px: 877.5393
  py: 966.2164
  k1: -0.04468034
  k2: 0.04337627
  k3: -0.01221274
  k4: -0.00096967
  p1: -0.00545261
  p2: 0.00215138
  p3: -0.00319022
  p4: 0.01155300
  s1: 0.0075
  s2: -0.0172
  s3: -0.0025
  s4: -0.0055
  tilt_x: 0.0208
  tilt_y: -0.0196
  scale: 3.0307
  rotation: 0.3383
Best score: 0.4839: : 449iter [00:43, 11.82iter/s]Best score: 0.4839: : 450iter [00:43, 11.82iter/s]Best score: 0.4839: : 451iter [00:43,  7.61iter/s]Best score: 0.4839: : 451iter [00:43,  7.61iter/s]Best score: 0.4839: : 452iter [00:43,  7.61iter/s]Best score: 0.4839: : 453iter [00:43,  8.54iter/s]Best score: 0.4839: : 453iter [00:43,  8.54iter/s]Best score: 0.4839: : 454iter [00:43,  8.54iter/s]Best score: 0.4839: : 455iter [00:43,  9.33iter/s]Best score: 0.4839: : 455iter [00:43,  9.33iter/s]Best score: 0.4839: : 456iter [00:43,  9.33iter/s]Best score: 0.4839: : 457iter [00:43,  9.99iter/s]Best score: 0.4839: : 457iter [00:44,  9.99iter/s]Best score: 0.4839: : 458iter [00:44,  9.99iter/s]Best score: 0.4839: : 459iter [00:44, 10.47iter/s]Best score: 0.4839: : 459iter [00:44, 10.47iter/s]Best score: 0.4839: : 460iter [00:44, 10.47iter/s]Best score: 0.4839: : 461iter [00:44, 10.70iter/s]Best score: 0.4839: : 461iter [00:44, 10.70iter/s]Best score: 0.4839: : 462iter [00:44, 10.70iter/s]Best score: 0.4839: : 463iter [00:44, 11.04iter/s]Best score: 0.4839: : 463iter [00:44, 11.04iter/s]Best score: 0.4839: : 464iter [00:44, 11.04iter/s]Best score: 0.4839: : 465iter [00:44, 11.31iter/s]Best score: 0.4839: : 465iter [00:44, 11.31iter/s]Best score: 0.4839: : 466iter [00:44, 11.31iter/s]Best score: 0.4839: : 467iter [00:44, 11.43iter/s]Best score: 0.4839: : 467iter [00:44, 11.43iter/s]Best score: 0.4839: : 468iter [00:44, 11.43iter/s]Best score: 0.4839: : 469iter [00:44, 11.55iter/s]Best score: 0.3505: : 469iter [00:45, 11.55iter/s]Best score: 0.3505: : 470iter [00:45, 11.55iter/s]Best score: 0.3505: : 471iter [00:45, 11.43iter/s]Best score: 0.3505: : 471iter [00:45, 11.43iter/s]Best score: 0.3505: : 472iter [00:45, 11.43iter/s]Best score: 0.3505: : 473iter [00:45, 11.57iter/s]Best score: 0.3505: : 473iter [00:45, 11.57iter/s]Best score: 0.3505: : 474iter [00:45, 11.57iter/s]Best score: 0.3505: : 475iter [00:45, 11.67iter/s]Best score: 0.3505: : 475iter [00:45, 11.67iter/s]Best score: 0.3505: : 476iter [00:45, 11.67iter/s]Best score: 0.3505: : 477iter [00:45, 11.75iter/s]Best score: 0.3505: : 477iter [00:45, 11.75iter/s]Best score: 0.3505: : 478iter [00:45, 11.75iter/s]Best score: 0.3505: : 479iter [00:45, 11.79iter/s]Best score: 0.3505: : 479iter [00:45, 11.79iter/s]Best score: 0.3505: : 480iter [00:45, 11.79iter/s]Best score: 0.3505: : 481iter [00:45, 11.62iter/s]Best score: 0.3505: : 481iter [00:46, 11.62iter/s]Best score: 0.3505: : 482iter [00:46, 11.62iter/s]Best score: 0.3505: : 483iter [00:46, 11.70iter/s]Best score: 0.3505: : 483iter [00:46, 11.70iter/s]Best score: 0.3505: : 484iter [00:46, 11.70iter/s]Best score: 0.3505: : 485iter [00:46, 11.74iter/s]Best score: 0.3505: : 485iter [00:46, 11.74iter/s]Best score: 0.3505: : 486iter [00:46, 11.74iter/s]Best score: 0.3505: : 487iter [00:46, 11.81iter/s]Best score: 0.3505: : 487iter [00:46, 11.81iter/s]Best score: 0.3505: : 488iter [00:46, 11.81iter/s]Best score: 0.3505: : 489iter [00:46, 11.79iter/s]Best score: 0.3505: : 489iter [00:46, 11.79iter/s]Best score: 0.3505: : 490iter [00:46, 11.79iter/s]Best score: 0.3505: : 491iter [00:46, 11.61iter/s]Best score: 0.3505: : 491iter [00:46, 11.61iter/s]Best score: 0.3505: : 492iter [00:47, 11.61iter/s]Best score: 0.3505: : 493iter [00:47, 11.71iter/s]Best score: 0.3505: : 493iter [00:47, 11.71iter/s]Best score: 0.3505: : 494iter [00:47, 11.71iter/s]Best score: 0.3505: : 495iter [00:47, 11.79iter/s]Best score: 0.3505: : 495iter [00:47, 11.79iter/s]Best score: 0.3505: : 496iter [00:47, 11.79iter/s]Best score: 0.3505: : 497iter [00:47, 11.83iter/s]Best score: 0.3505: : 497iter [00:47, 11.83iter/s]Best score: 0.3505: : 498iter [00:47, 11.83iter/s]Best score: 0.3505: : 499iter [00:47, 11.86iter/s]
[ITER 500] Best: 0.3505
[PARAMS] Current best parameters:
  fx: 539.7551
  fy: 539.6880
  px: 875.0062
  py: 961.1093
  k1: -0.03768833
  k2: 0.04550755
  k3: -0.02193643
  k4: 0.00273249
  p1: -0.00989753
  p2: -0.00139000
  p3: -0.00282179
  p4: 0.00939159
  s1: 0.0108
  s2: -0.0158
  s3: 0.0026
  s4: -0.0109
  tilt_x: 0.0058
  tilt_y: -0.0127
  scale: 3.0085
  rotation: 0.3619
Best score: 0.3505: : 499iter [00:47, 11.86iter/s]Best score: 0.3505: : 500iter [00:48, 11.86iter/s]Best score: 0.3505: : 501iter [00:48,  7.62iter/s]Best score: 0.3505: : 501iter [00:48,  7.62iter/s]Best score: 0.3505: : 502iter [00:48,  7.62iter/s]Best score: 0.3505: : 503iter [00:48,  8.55iter/s]Best score: 0.3505: : 503iter [00:48,  8.55iter/s]Best score: 0.3505: : 504iter [00:48,  8.55iter/s]Best score: 0.3505: : 505iter [00:48,  9.34iter/s]Best score: 0.3505: : 505iter [00:48,  9.34iter/s]Best score: 0.3505: : 506iter [00:48,  9.34iter/s]Best score: 0.3505: : 507iter [00:48,  9.98iter/s]Best score: 0.3505: : 507iter [00:48,  9.98iter/s]Best score: 0.3505: : 508iter [00:48,  9.98iter/s]Best score: 0.3505: : 509iter [00:48, 10.50iter/s]Best score: 0.3119: : 509iter [00:48, 10.50iter/s]Best score: 0.3119: : 510iter [00:48, 10.50iter/s]Best score: 0.3119: : 511iter [00:48, 10.72iter/s]Best score: 0.3119: : 511iter [00:48, 10.72iter/s]Best score: 0.3119: : 512iter [00:49, 10.72iter/s]Best score: 0.3119: : 513iter [00:49, 11.05iter/s]Best score: 0.3119: : 513iter [00:49, 11.05iter/s]Best score: 0.3119: : 514iter [00:49, 11.05iter/s]Best score: 0.3119: : 515iter [00:49, 11.27iter/s]Best score: 0.3119: : 515iter [00:49, 11.27iter/s]Best score: 0.3119: : 516iter [00:49, 11.27iter/s]Best score: 0.3119: : 517iter [00:49, 11.46iter/s]Best score: 0.3119: : 517iter [00:49, 11.46iter/s]Best score: 0.3119: : 518iter [00:49, 11.46iter/s]Best score: 0.3119: : 519iter [00:49, 11.59iter/s]Best score: 0.3089: : 519iter [00:49, 11.59iter/s]Best score: 0.3089: : 520iter [00:49, 11.59iter/s]Best score: 0.3089: : 521iter [00:49, 11.50iter/s]Best score: 0.3089: : 521iter [00:49, 11.50iter/s]Best score: 0.3089: : 522iter [00:49, 11.50iter/s]Best score: 0.3089: : 523iter [00:49, 11.62iter/s]Best score: 0.3089: : 523iter [00:49, 11.62iter/s]Best score: 0.3089: : 524iter [00:50, 11.62iter/s]Best score: 0.3089: : 525iter [00:50, 11.71iter/s]Best score: 0.3089: : 525iter [00:50, 11.71iter/s]Best score: 0.3089: : 526iter [00:50, 11.71iter/s]Best score: 0.3089: : 527iter [00:50, 11.78iter/s]Best score: 0.3089: : 527iter [00:50, 11.78iter/s]Best score: 0.3089: : 528iter [00:50, 11.78iter/s]Best score: 0.3089: : 529iter [00:50, 11.83iter/s]Best score: 0.2266: : 529iter [00:50, 11.83iter/s]Best score: 0.2266: : 530iter [00:50, 11.83iter/s]Best score: 0.2266: : 531iter [00:50, 11.62iter/s]Best score: 0.2266: : 531iter [00:50, 11.62iter/s]Best score: 0.2266: : 532iter [00:50, 11.62iter/s]Best score: 0.2266: : 533iter [00:50, 11.66iter/s]Best score: 0.2266: : 533iter [00:50, 11.66iter/s]Best score: 0.2266: : 534iter [00:50, 11.66iter/s]Best score: 0.2266: : 535iter [00:50, 11.69iter/s]Best score: 0.2266: : 535iter [00:50, 11.69iter/s]Best score: 0.2266: : 536iter [00:51, 11.69iter/s]Best score: 0.2266: : 537iter [00:51, 11.69iter/s]Best score: 0.2266: : 537iter [00:51, 11.69iter/s]Best score: 0.2266: : 538iter [00:51, 11.69iter/s]Best score: 0.2266: : 539iter [00:51, 11.75iter/s]Best score: 0.2266: : 539iter [00:51, 11.75iter/s]Best score: 0.2266: : 540iter [00:51, 11.75iter/s]Best score: 0.2266: : 541iter [00:51, 11.58iter/s]Best score: 0.2266: : 541iter [00:51, 11.58iter/s]Best score: 0.2266: : 542iter [00:51, 11.58iter/s]Best score: 0.2266: : 543iter [00:51, 11.69iter/s]Best score: 0.2266: : 543iter [00:51, 11.69iter/s]Best score: 0.2266: : 544iter [00:51, 11.69iter/s]Best score: 0.2266: : 545iter [00:51, 11.74iter/s]Best score: 0.2266: : 545iter [00:51, 11.74iter/s]Best score: 0.2266: : 546iter [00:51, 11.74iter/s]Best score: 0.2266: : 547iter [00:51, 11.78iter/s]Best score: 0.2266: : 547iter [00:51, 11.78iter/s]Best score: 0.2266: : 548iter [00:52, 11.78iter/s]Best score: 0.2266: : 549iter [00:52, 11.78iter/s]
[ITER 550] Best: 0.2241
[PARAMS] Current best parameters:
  fx: 542.5599
  fy: 542.1736
  px: 873.7011
  py: 953.7367
  k1: -0.02735445
  k2: 0.03089312
  k3: -0.01752106
  k4: 0.00283691
  p1: -0.02037156
  p2: -0.00413646
  p3: 0.00184669
  p4: 0.00473939
  s1: 0.0032
  s2: -0.0076
  s3: 0.0020
  s4: -0.0055
  tilt_x: -0.0087
  tilt_y: -0.0135
  scale: 2.9881
  rotation: 0.3382
Best score: 0.2241: : 549iter [00:52, 11.78iter/s]Best score: 0.2241: : 550iter [00:52, 11.78iter/s]Best score: 0.2241: : 551iter [00:52,  7.57iter/s]Best score: 0.2241: : 551iter [00:52,  7.57iter/s]Best score: 0.2241: : 552iter [00:52,  7.57iter/s]Best score: 0.2241: : 553iter [00:52,  8.51iter/s]Best score: 0.2241: : 553iter [00:52,  8.51iter/s]Best score: 0.2241: : 554iter [00:52,  8.51iter/s]Best score: 0.2241: : 555iter [00:52,  9.31iter/s]Best score: 0.2241: : 555iter [00:52,  9.31iter/s]Best score: 0.2241: : 556iter [00:53,  9.31iter/s]Best score: 0.2241: : 557iter [00:53,  9.95iter/s]Best score: 0.2241: : 557iter [00:53,  9.95iter/s]Best score: 0.2241: : 558iter [00:53,  9.95iter/s]Best score: 0.2241: : 559iter [00:53, 10.44iter/s]Best score: 0.2241: : 559iter [00:53, 10.44iter/s]Best score: 0.2241: : 560iter [00:53, 10.44iter/s]Best score: 0.2241: : 561iter [00:53, 10.67iter/s]Best score: 0.2241: : 561iter [00:53, 10.67iter/s]Best score: 0.2241: : 562iter [00:53, 10.67iter/s]Best score: 0.2241: : 563iter [00:53, 11.02iter/s]Best score: 0.2241: : 563iter [00:53, 11.02iter/s]Best score: 0.2241: : 564iter [00:53, 11.02iter/s]Best score: 0.2241: : 565iter [00:53, 11.21iter/s]Best score: 0.2241: : 565iter [00:53, 11.21iter/s]Best score: 0.2241: : 566iter [00:53, 11.21iter/s]Best score: 0.2241: : 567iter [00:53, 11.39iter/s]Best score: 0.2241: : 567iter [00:54, 11.39iter/s]Best score: 0.2241: : 568iter [00:54, 11.39iter/s]Best score: 0.2241: : 569iter [00:54, 11.55iter/s]Best score: 0.2241: : 569iter [00:54, 11.55iter/s]Best score: 0.2241: : 570iter [00:54, 11.55iter/s]Best score: 0.2241: : 571iter [00:54, 11.45iter/s]Best score: 0.2241: : 571iter [00:54, 11.45iter/s]Best score: 0.2241: : 572iter [00:54, 11.45iter/s]Best score: 0.2241: : 573iter [00:54, 11.57iter/s]Best score: 0.2241: : 573iter [00:54, 11.57iter/s]Best score: 0.2241: : 574iter [00:54, 11.57iter/s]Best score: 0.2241: : 575iter [00:54, 11.67iter/s]Best score: 0.2241: : 575iter [00:54, 11.67iter/s]Best score: 0.2241: : 576iter [00:54, 11.67iter/s]Best score: 0.2241: : 577iter [00:54, 11.74iter/s]Best score: 0.2241: : 577iter [00:54, 11.74iter/s]Best score: 0.2241: : 578iter [00:54, 11.74iter/s]Best score: 0.2241: : 579iter [00:54, 11.76iter/s]Best score: 0.2216: : 579iter [00:55, 11.76iter/s]Best score: 0.2216: : 580iter [00:55, 11.76iter/s]Best score: 0.2216: : 581iter [00:55, 11.58iter/s]Best score: 0.2216: : 581iter [00:55, 11.58iter/s]Best score: 0.2216: : 582iter [00:55, 11.58iter/s]Best score: 0.2216: : 583iter [00:55, 11.69iter/s]Best score: 0.2216: : 583iter [00:55, 11.69iter/s]Best score: 0.2216: : 584iter [00:55, 11.69iter/s]Best score: 0.2216: : 585iter [00:55, 11.75iter/s]Best score: 0.2216: : 585iter [00:55, 11.75iter/s]Best score: 0.2216: : 586iter [00:55, 11.75iter/s]Best score: 0.2216: : 587iter [00:55, 11.80iter/s]Best score: 0.2216: : 587iter [00:55, 11.80iter/s]Best score: 0.2216: : 588iter [00:55, 11.80iter/s]Best score: 0.2216: : 589iter [00:55, 11.81iter/s]Best score: 0.2122: : 589iter [00:55, 11.81iter/s]Best score: 0.2122: : 590iter [00:55, 11.81iter/s]Best score: 0.2122: : 591iter [00:55, 11.58iter/s]Best score: 0.2122: : 591iter [00:56, 11.58iter/s]Best score: 0.2122: : 592iter [00:56, 11.58iter/s]Best score: 0.2122: : 593iter [00:56, 11.68iter/s]Best score: 0.2122: : 593iter [00:56, 11.68iter/s]Best score: 0.2122: : 594iter [00:56, 11.68iter/s]Best score: 0.2122: : 595iter [00:56, 11.75iter/s]Best score: 0.2122: : 595iter [00:56, 11.75iter/s]Best score: 0.2122: : 596iter [00:56, 11.75iter/s]Best score: 0.2122: : 597iter [00:56, 11.81iter/s]Best score: 0.2122: : 597iter [00:56, 11.81iter/s]Best score: 0.2122: : 598iter [00:56, 11.81iter/s]Best score: 0.2122: : 599iter [00:56, 11.85iter/s]
[ITER 600] Best: 0.1869
[PARAMS] Current best parameters:
  fx: 552.4711
  fy: 552.3639
  px: 873.5235
  py: 958.0387
  k1: -0.03240314
  k2: 0.02199643
  k3: -0.01235958
  k4: 0.00226015
  p1: -0.01315507
  p2: -0.00342359
  p3: -0.00238174
  p4: 0.00343725
  s1: 0.0089
  s2: -0.0073
  s3: -0.0001
  s4: -0.0011
  tilt_x: -0.0025
  tilt_y: -0.0094
  scale: 2.9842
  rotation: 0.3155
Best score: 0.1869: : 599iter [00:56, 11.85iter/s]Best score: 0.1869: : 600iter [00:57, 11.85iter/s]Best score: 0.1869: : 601iter [00:57,  7.63iter/s]Best score: 0.1869: : 601iter [00:57,  7.63iter/s]Best score: 0.1869: : 602iter [00:57,  7.63iter/s]Best score: 0.1869: : 603iter [00:57,  8.56iter/s]Best score: 0.1869: : 603iter [00:57,  8.56iter/s]Best score: 0.1869: : 604iter [00:57,  8.56iter/s]Best score: 0.1869: : 605iter [00:57,  9.35iter/s]Best score: 0.1869: : 605iter [00:57,  9.35iter/s]Best score: 0.1869: : 606iter [00:57,  9.35iter/s]Best score: 0.1869: : 607iter [00:57,  9.99iter/s]Best score: 0.1869: : 607iter [00:57,  9.99iter/s]Best score: 0.1869: : 608iter [00:57,  9.99iter/s]Best score: 0.1869: : 609iter [00:57, 10.49iter/s]Best score: 0.1869: : 609iter [00:57, 10.49iter/s]Best score: 0.1869: : 610iter [00:57, 10.49iter/s]Best score: 0.1869: : 611iter [00:57, 10.71iter/s]Best score: 0.1869: : 611iter [00:58, 10.71iter/s]Best score: 0.1869: : 612iter [00:58, 10.71iter/s]Best score: 0.1869: : 613iter [00:58, 11.04iter/s]Best score: 0.1869: : 613iter [00:58, 11.04iter/s]Best score: 0.1869: : 614iter [00:58, 11.04iter/s]Best score: 0.1869: : 615iter [00:58, 11.30iter/s]Best score: 0.1869: : 615iter [00:58, 11.30iter/s]Best score: 0.1869: : 616iter [00:58, 11.30iter/s]Best score: 0.1869: : 617iter [00:58, 11.48iter/s]Best score: 0.1869: : 617iter [00:58, 11.48iter/s]Best score: 0.1869: : 618iter [00:58, 11.48iter/s]Best score: 0.1869: : 619iter [00:58, 11.60iter/s]Best score: 0.1812: : 619iter [00:58, 11.60iter/s]Best score: 0.1812: : 620iter [00:58, 11.60iter/s]Best score: 0.1812: : 621iter [00:58, 11.45iter/s]Best score: 0.1812: : 621iter [00:58, 11.45iter/s]Best score: 0.1812: : 622iter [00:58, 11.45iter/s]Best score: 0.1812: : 623iter [00:58, 11.53iter/s]Best score: 0.1812: : 623iter [00:59, 11.53iter/s]Best score: 0.1812: : 624iter [00:59, 11.53iter/s]Best score: 0.1812: : 625iter [00:59, 11.61iter/s]Best score: 0.1812: : 625iter [00:59, 11.61iter/s]Best score: 0.1812: : 626iter [00:59, 11.61iter/s]Best score: 0.1812: : 627iter [00:59, 11.70iter/s]Best score: 0.1812: : 627iter [00:59, 11.70iter/s]Best score: 0.1812: : 628iter [00:59, 11.70iter/s]Best score: 0.1812: : 629iter [00:59, 11.77iter/s]Best score: 0.1722: : 629iter [00:59, 11.77iter/s]Best score: 0.1722: : 630iter [00:59, 11.77iter/s]Best score: 0.1722: : 631iter [00:59, 11.60iter/s]Best score: 0.1722: : 631iter [00:59, 11.60iter/s]Best score: 0.1722: : 632iter [00:59, 11.60iter/s]Best score: 0.1722: : 633iter [00:59, 11.68iter/s]Best score: 0.1722: : 633iter [00:59, 11.68iter/s]Best score: 0.1722: : 634iter [01:00, 11.68iter/s]Best score: 0.1722: : 635iter [01:00, 11.68iter/s]Best score: 0.1722: : 635iter [01:00, 11.68iter/s]Best score: 0.1722: : 636iter [01:00, 11.68iter/s]Best score: 0.1722: : 637iter [01:00, 11.72iter/s]Best score: 0.1722: : 637iter [01:00, 11.72iter/s]Best score: 0.1722: : 638iter [01:00, 11.72iter/s]Best score: 0.1722: : 639iter [01:00, 11.68iter/s]Best score: 0.1722: : 639iter [01:00, 11.68iter/s]Best score: 0.1722: : 640iter [01:00, 11.68iter/s]Best score: 0.1722: : 641iter [01:00, 11.47iter/s]Best score: 0.1722: : 641iter [01:00, 11.47iter/s]Best score: 0.1722: : 642iter [01:00, 11.47iter/s]Best score: 0.1722: : 643iter [01:00, 11.48iter/s]Best score: 0.1722: : 643iter [01:00, 11.48iter/s]Best score: 0.1722: : 644iter [01:00, 11.48iter/s]Best score: 0.1722: : 645iter [01:00, 11.57iter/s]Best score: 0.1722: : 645iter [01:00, 11.57iter/s]Best score: 0.1722: : 646iter [01:01, 11.57iter/s]Best score: 0.1722: : 647iter [01:01, 11.64iter/s]Best score: 0.1722: : 647iter [01:01, 11.64iter/s]Best score: 0.1722: : 648iter [01:01, 11.64iter/s]Best score: 0.1722: : 649iter [01:01, 11.73iter/s]
[ITER 650] Best: 0.1722
[PARAMS] Current best parameters:
  fx: 548.6616
  fy: 548.5792
  px: 872.1359
  py: 957.6888
  k1: -0.02453025
  k2: 0.01579817
  k3: -0.00962096
  k4: 0.00183681
  p1: -0.01455201
  p2: -0.00629927
  p3: -0.00006424
  p4: 0.00065176
  s1: 0.0099
  s2: -0.0059
  s3: -0.0014
  s4: 0.0027
  tilt_x: -0.0023
  tilt_y: -0.0089
  scale: 2.9831
  rotation: 0.3590
Best score: 0.1722: : 649iter [01:01, 11.73iter/s]Best score: 0.1722: : 650iter [01:01, 11.73iter/s]Best score: 0.1722: : 651iter [01:01,  7.56iter/s]Best score: 0.1722: : 651iter [01:01,  7.56iter/s]Best score: 0.1722: : 652iter [01:01,  7.56iter/s]Best score: 0.1722: : 653iter [01:01,  8.46iter/s]Best score: 0.1722: : 653iter [01:01,  8.46iter/s]Best score: 0.1722: : 654iter [01:02,  8.46iter/s]Best score: 0.1722: : 655iter [01:02,  9.26iter/s]Best score: 0.1722: : 655iter [01:02,  9.26iter/s]Best score: 0.1722: : 656iter [01:02,  9.26iter/s]Best score: 0.1722: : 657iter [01:02,  9.92iter/s]Best score: 0.1722: : 657iter [01:02,  9.92iter/s]Best score: 0.1722: : 658iter [01:02,  9.92iter/s]Best score: 0.1722: : 659iter [01:02, 10.45iter/s]Best score: 0.1716: : 659iter [01:02, 10.45iter/s]Best score: 0.1716: : 660iter [01:02, 10.45iter/s]Best score: 0.1716: : 661iter [01:02, 10.67iter/s]Best score: 0.1716: : 661iter [01:02, 10.67iter/s]Best score: 0.1716: : 662iter [01:02, 10.67iter/s]Best score: 0.1716: : 663iter [01:02, 11.02iter/s]Best score: 0.1716: : 663iter [01:02, 11.02iter/s]Best score: 0.1716: : 664iter [01:02, 11.02iter/s]Best score: 0.1716: : 665iter [01:02, 11.27iter/s]Best score: 0.1716: : 665iter [01:02, 11.27iter/s]Best score: 0.1716: : 666iter [01:03, 11.27iter/s]Best score: 0.1716: : 667iter [01:03, 11.45iter/s]Best score: 0.1716: : 667iter [01:03, 11.45iter/s]Best score: 0.1716: : 668iter [01:03, 11.45iter/s]Best score: 0.1716: : 669iter [01:03, 11.60iter/s]Best score: 0.1674: : 669iter [01:03, 11.60iter/s]Best score: 0.1674: : 670iter [01:03, 11.60iter/s]Best score: 0.1674: : 671iter [01:03, 11.50iter/s]Best score: 0.1674: : 671iter [01:03, 11.50iter/s]Best score: 0.1674: : 672iter [01:03, 11.50iter/s]Best score: 0.1674: : 673iter [01:03, 11.62iter/s]Best score: 0.1674: : 673iter [01:03, 11.62iter/s]Best score: 0.1674: : 674iter [01:03, 11.62iter/s]Best score: 0.1674: : 675iter [01:03, 11.70iter/s]Best score: 0.1674: : 675iter [01:03, 11.70iter/s]Best score: 0.1674: : 676iter [01:03, 11.70iter/s]Best score: 0.1674: : 677iter [01:03, 11.75iter/s]Best score: 0.1674: : 677iter [01:04, 11.75iter/s]Best score: 0.1674: : 678iter [01:04, 11.75iter/s]Best score: 0.1674: : 679iter [01:04, 11.78iter/s]Best score: 0.1564: : 679iter [01:04, 11.78iter/s]Best score: 0.1564: : 680iter [01:04, 11.78iter/s]Best score: 0.1564: : 681iter [01:04, 11.58iter/s]Best score: 0.1564: : 681iter [01:04, 11.58iter/s]Best score: 0.1564: : 682iter [01:04, 11.58iter/s]Best score: 0.1564: : 683iter [01:04, 11.64iter/s]Best score: 0.1564: : 683iter [01:04, 11.64iter/s]Best score: 0.1564: : 684iter [01:04, 11.64iter/s]Best score: 0.1564: : 685iter [01:04, 11.74iter/s]Best score: 0.1564: : 685iter [01:04, 11.74iter/s]Best score: 0.1564: : 686iter [01:04, 11.74iter/s]Best score: 0.1564: : 687iter [01:04, 11.78iter/s]Best score: 0.1564: : 687iter [01:04, 11.78iter/s]Best score: 0.1564: : 688iter [01:04, 11.78iter/s]Best score: 0.1564: : 689iter [01:04, 11.75iter/s]Best score: 0.1564: : 689iter [01:05, 11.75iter/s]Best score: 0.1564: : 690iter [01:05, 11.75iter/s]Best score: 0.1564: : 691iter [01:05, 11.56iter/s]Best score: 0.1564: : 691iter [01:05, 11.56iter/s]Best score: 0.1564: : 692iter [01:05, 11.56iter/s]Best score: 0.1564: : 693iter [01:05, 11.66iter/s]Best score: 0.1564: : 693iter [01:05, 11.66iter/s]Best score: 0.1564: : 694iter [01:05, 11.66iter/s]Best score: 0.1564: : 695iter [01:05, 11.67iter/s]Best score: 0.1564: : 695iter [01:05, 11.67iter/s]Best score: 0.1564: : 696iter [01:05, 11.67iter/s]Best score: 0.1564: : 697iter [01:05, 11.67iter/s]Best score: 0.1564: : 697iter [01:05, 11.67iter/s]Best score: 0.1564: : 698iter [01:05, 11.67iter/s]Best score: 0.1564: : 699iter [01:05, 11.75iter/s]
[ITER 700] Best: 0.1550
[PARAMS] Current best parameters:
  fx: 552.7987
  fy: 552.7436
  px: 872.7891
  py: 959.4589
  k1: -0.03419208
  k2: 0.02254478
  k3: -0.01202539
  k4: 0.00213028
  p1: -0.00799185
  p2: -0.00442154
  p3: -0.00325320
  p4: 0.00132453
  s1: 0.0085
  s2: -0.0043
  s3: -0.0019
  s4: 0.0003
  tilt_x: -0.0068
  tilt_y: -0.0087
  scale: 2.9900
  rotation: 0.3629
Best score: 0.1550: : 699iter [01:05, 11.75iter/s]Best score: 0.1550: : 700iter [01:06, 11.75iter/s]Best score: 0.1550: : 701iter [01:06,  7.59iter/s]Best score: 0.1550: : 701iter [01:06,  7.59iter/s]Best score: 0.1550: : 702iter [01:06,  7.59iter/s]Best score: 0.1550: : 703iter [01:06,  8.52iter/s]Best score: 0.1550: : 703iter [01:06,  8.52iter/s]Best score: 0.1550: : 704iter [01:06,  8.52iter/s]Best score: 0.1550: : 705iter [01:06,  9.33iter/s]Best score: 0.1550: : 705iter [01:06,  9.33iter/s]Best score: 0.1550: : 706iter [01:06,  9.33iter/s]Best score: 0.1550: : 707iter [01:06,  9.99iter/s]Best score: 0.1550: : 707iter [01:06,  9.99iter/s]Best score: 0.1550: : 708iter [01:06,  9.99iter/s]Best score: 0.1550: : 709iter [01:06, 10.48iter/s]Best score: 0.1494: : 709iter [01:07, 10.48iter/s]Best score: 0.1494: : 710iter [01:07, 10.48iter/s]Best score: 0.1494: : 711iter [01:07, 10.69iter/s]Best score: 0.1494: : 711iter [01:07, 10.69iter/s]Best score: 0.1494: : 712iter [01:07, 10.69iter/s]Best score: 0.1494: : 713iter [01:07, 11.04iter/s]Best score: 0.1494: : 713iter [01:07, 11.04iter/s]Best score: 0.1494: : 714iter [01:07, 11.04iter/s]Best score: 0.1494: : 715iter [01:07, 11.28iter/s]Best score: 0.1494: : 715iter [01:07, 11.28iter/s]Best score: 0.1494: : 716iter [01:07, 11.28iter/s]Best score: 0.1494: : 717iter [01:07, 11.47iter/s]Best score: 0.1494: : 717iter [01:07, 11.47iter/s]Best score: 0.1494: : 718iter [01:07, 11.47iter/s]Best score: 0.1494: : 719iter [01:07, 11.61iter/s]Best score: 0.1494: : 719iter [01:07, 11.61iter/s]Best score: 0.1494: : 720iter [01:07, 11.61iter/s]Best score: 0.1494: : 721iter [01:07, 11.50iter/s]Best score: 0.1494: : 721iter [01:08, 11.50iter/s]Best score: 0.1494: : 722iter [01:08, 11.50iter/s]Best score: 0.1494: : 723iter [01:08, 11.63iter/s]Best score: 0.1494: : 723iter [01:08, 11.63iter/s]Best score: 0.1494: : 724iter [01:08, 11.63iter/s]Best score: 0.1494: : 725iter [01:08, 11.70iter/s]Best score: 0.1494: : 725iter [01:08, 11.70iter/s]Best score: 0.1494: : 726iter [01:08, 11.70iter/s]Best score: 0.1494: : 727iter [01:08, 11.73iter/s]Best score: 0.1494: : 727iter [01:08, 11.73iter/s]Best score: 0.1494: : 728iter [01:08, 11.73iter/s]Best score: 0.1494: : 729iter [01:08, 11.79iter/s]Best score: 0.1478: : 729iter [01:08, 11.79iter/s]Best score: 0.1478: : 730iter [01:08, 11.79iter/s]Best score: 0.1478: : 731iter [01:08, 11.61iter/s]Best score: 0.1478: : 731iter [01:08, 11.61iter/s]Best score: 0.1478: : 732iter [01:08, 11.61iter/s]Best score: 0.1478: : 733iter [01:08, 11.70iter/s]Best score: 0.1478: : 733iter [01:09, 11.70iter/s]Best score: 0.1478: : 734iter [01:09, 11.70iter/s]Best score: 0.1478: : 735iter [01:09, 11.76iter/s]Best score: 0.1478: : 735iter [01:09, 11.76iter/s]Best score: 0.1478: : 736iter [01:09, 11.76iter/s]Best score: 0.1478: : 737iter [01:09, 11.80iter/s]Best score: 0.1478: : 737iter [01:09, 11.80iter/s]Best score: 0.1478: : 738iter [01:09, 11.80iter/s]Best score: 0.1478: : 739iter [01:09, 11.75iter/s]Best score: 0.1478: : 739iter [01:09, 11.75iter/s]Best score: 0.1478: : 740iter [01:09, 11.75iter/s]Best score: 0.1478: : 741iter [01:09, 11.58iter/s]Best score: 0.1478: : 741iter [01:09, 11.58iter/s]Best score: 0.1478: : 742iter [01:09, 11.58iter/s]Best score: 0.1478: : 743iter [01:09, 11.67iter/s]Best score: 0.1478: : 743iter [01:09, 11.67iter/s]Best score: 0.1478: : 744iter [01:10, 11.67iter/s]Best score: 0.1478: : 745iter [01:10, 11.74iter/s]Best score: 0.1478: : 745iter [01:10, 11.74iter/s]Best score: 0.1478: : 746iter [01:10, 11.74iter/s]Best score: 0.1478: : 747iter [01:10, 11.77iter/s]Best score: 0.1478: : 747iter [01:10, 11.77iter/s]Best score: 0.1478: : 748iter [01:10, 11.77iter/s]Best score: 0.1478: : 749iter [01:10, 11.78iter/s]
[ITER 750] Best: 0.1441
[PARAMS] Current best parameters:
  fx: 551.9439
  fy: 551.8098
  px: 873.8286
  py: 958.0133
  k1: -0.03332499
  k2: 0.02221590
  k3: -0.01211094
  k4: 0.00229767
  p1: -0.01052514
  p2: -0.00478674
  p3: -0.00089684
  p4: 0.00293385
  s1: 0.0066
  s2: -0.0044
  s3: -0.0035
  s4: -0.0008
  tilt_x: -0.0090
  tilt_y: -0.0142
  scale: 2.9916
  rotation: 0.3852
Best score: 0.1441: : 749iter [01:10, 11.78iter/s]Best score: 0.1441: : 750iter [01:10, 11.78iter/s]Best score: 0.1441: : 751iter [01:10,  7.60iter/s]Best score: 0.1441: : 751iter [01:10,  7.60iter/s]Best score: 0.1441: : 752iter [01:11,  7.60iter/s]Best score: 0.1441: : 753iter [01:11,  8.52iter/s]Best score: 0.1441: : 753iter [01:11,  8.52iter/s]Best score: 0.1441: : 754iter [01:11,  8.52iter/s]Best score: 0.1441: : 755iter [01:11,  9.32iter/s]Best score: 0.1441: : 755iter [01:11,  9.32iter/s]Best score: 0.1441: : 756iter [01:11,  9.32iter/s]Best score: 0.1441: : 757iter [01:11,  9.96iter/s]Best score: 0.1441: : 757iter [01:11,  9.96iter/s]Best score: 0.1441: : 758iter [01:11,  9.96iter/s]Best score: 0.1441: : 759iter [01:11, 10.47iter/s]Best score: 0.1432: : 759iter [01:11, 10.47iter/s]Best score: 0.1432: : 760iter [01:11, 10.47iter/s]Best score: 0.1432: : 761iter [01:11, 10.60iter/s]Best score: 0.1432: : 761iter [01:11, 10.60iter/s]Best score: 0.1432: : 762iter [01:11, 10.60iter/s]Best score: 0.1432: : 763iter [01:11, 10.91iter/s]Best score: 0.1432: : 763iter [01:11, 10.91iter/s]Best score: 0.1432: : 764iter [01:12, 10.91iter/s]Best score: 0.1432: : 765iter [01:12, 11.21iter/s]Best score: 0.1432: : 765iter [01:12, 11.21iter/s]Best score: 0.1432: : 766iter [01:12, 11.21iter/s]Best score: 0.1432: : 767iter [01:12, 11.39iter/s]Best score: 0.1432: : 767iter [01:12, 11.39iter/s]Best score: 0.1432: : 768iter [01:12, 11.39iter/s]Best score: 0.1432: : 769iter [01:12, 11.53iter/s]Best score: 0.1428: : 769iter [01:12, 11.53iter/s]Best score: 0.1428: : 770iter [01:12, 11.53iter/s]Best score: 0.1428: : 771iter [01:12, 11.44iter/s]Best score: 0.1428: : 771iter [01:12, 11.44iter/s]Best score: 0.1428: : 772iter [01:12, 11.44iter/s]Best score: 0.1428: : 773iter [01:12, 11.56iter/s]Best score: 0.1428: : 773iter [01:12, 11.56iter/s]Best score: 0.1428: : 774iter [01:12, 11.56iter/s]Best score: 0.1428: : 775iter [01:12, 11.66iter/s]Best score: 0.1428: : 775iter [01:12, 11.66iter/s]Best score: 0.1428: : 776iter [01:13, 11.66iter/s]Best score: 0.1428: : 777iter [01:13, 11.72iter/s]Best score: 0.1428: : 777iter [01:13, 11.72iter/s]Best score: 0.1428: : 778iter [01:13, 11.72iter/s]Best score: 0.1428: : 779iter [01:13, 11.77iter/s]Best score: 0.1428: : 779iter [01:13, 11.77iter/s]Best score: 0.1428: : 780iter [01:13, 11.77iter/s]Best score: 0.1428: : 781iter [01:13, 11.61iter/s]Best score: 0.1428: : 781iter [01:13, 11.61iter/s]Best score: 0.1428: : 782iter [01:13, 11.61iter/s]Best score: 0.1428: : 783iter [01:13, 11.69iter/s]Best score: 0.1428: : 783iter [01:13, 11.69iter/s]Best score: 0.1428: : 784iter [01:13, 11.69iter/s]Best score: 0.1428: : 785iter [01:13, 11.75iter/s]Best score: 0.1428: : 785iter [01:13, 11.75iter/s]Best score: 0.1428: : 786iter [01:13, 11.75iter/s]Best score: 0.1428: : 787iter [01:13, 11.74iter/s]Best score: 0.1428: : 787iter [01:13, 11.74iter/s]Best score: 0.1428: : 788iter [01:14, 11.74iter/s]Best score: 0.1428: : 789iter [01:14, 11.79iter/s]Best score: 0.1419: : 789iter [01:14, 11.79iter/s]Best score: 0.1419: : 790iter [01:14, 11.79iter/s]Best score: 0.1419: : 791iter [01:14, 11.62iter/s]Best score: 0.1419: : 791iter [01:14, 11.62iter/s]Best score: 0.1419: : 792iter [01:14, 11.62iter/s]Best score: 0.1419: : 793iter [01:14, 11.71iter/s]Best score: 0.1419: : 793iter [01:14, 11.71iter/s]Best score: 0.1419: : 794iter [01:14, 11.71iter/s]Best score: 0.1419: : 795iter [01:14, 11.76iter/s]Best score: 0.1419: : 795iter [01:14, 11.76iter/s]Best score: 0.1419: : 796iter [01:14, 11.76iter/s]Best score: 0.1419: : 797iter [01:14, 11.79iter/s]Best score: 0.1419: : 797iter [01:14, 11.79iter/s]Best score: 0.1419: : 798iter [01:14, 11.79iter/s]Best score: 0.1419: : 799iter [01:14, 11.83iter/s]
[ITER 800] Best: 0.1419
[PARAMS] Current best parameters:
  fx: 551.4714
  fy: 551.4587
  px: 873.7486
  py: 958.2038
  k1: -0.02992161
  k2: 0.01648827
  k3: -0.00799526
  k4: 0.00124580
  p1: -0.01015589
  p2: -0.00477686
  p3: 0.00010279
  p4: 0.00199211
  s1: 0.0060
  s2: -0.0037
  s3: -0.0041
  s4: 0.0000
  tilt_x: -0.0089
  tilt_y: -0.0136
  scale: 2.9888
  rotation: 0.3879
Best score: 0.1419: : 799iter [01:15, 11.83iter/s]Best score: 0.1419: : 800iter [01:15, 11.83iter/s]Best score: 0.1419: : 801iter [01:15,  7.59iter/s]Best score: 0.1419: : 801iter [01:15,  7.59iter/s]Best score: 0.1419: : 802iter [01:15,  7.59iter/s]Best score: 0.1419: : 803iter [01:15,  8.48iter/s]Best score: 0.1419: : 803iter [01:15,  8.48iter/s]Best score: 0.1419: : 804iter [01:15,  8.48iter/s]Best score: 0.1419: : 805iter [01:15,  9.23iter/s]Best score: 0.1419: : 805iter [01:15,  9.23iter/s]Best score: 0.1419: : 806iter [01:15,  9.23iter/s]Best score: 0.1419: : 807iter [01:15,  9.88iter/s]Best score: 0.1419: : 807iter [01:16,  9.88iter/s]Best score: 0.1419: : 808iter [01:16,  9.88iter/s]Best score: 0.1419: : 809iter [01:16, 10.40iter/s]Best score: 0.1419: : 809iter [01:16, 10.40iter/s]Best score: 0.1419: : 810iter [01:16, 10.40iter/s]Best score: 0.1419: : 811iter [01:16, 10.56iter/s]Best score: 0.1419: : 811iter [01:16, 10.56iter/s]Best score: 0.1419: : 812iter [01:16, 10.56iter/s]Best score: 0.1419: : 813iter [01:16, 10.93iter/s]Best score: 0.1419: : 813iter [01:16, 10.93iter/s]Best score: 0.1419: : 814iter [01:16, 10.93iter/s]Best score: 0.1419: : 815iter [01:16, 11.19iter/s]Best score: 0.1419: : 815iter [01:16, 11.19iter/s]Best score: 0.1419: : 816iter [01:16, 11.19iter/s]Best score: 0.1419: : 817iter [01:16, 11.32iter/s]Best score: 0.1419: : 817iter [01:16, 11.32iter/s]Best score: 0.1419: : 818iter [01:16, 11.32iter/s]Best score: 0.1419: : 819iter [01:16, 11.40iter/s]Best score: 0.1419: : 819iter [01:17, 11.40iter/s]Best score: 0.1419: : 820iter [01:17, 11.40iter/s]Best score: 0.1419: : 821iter [01:17, 11.31iter/s]Best score: 0.1419: : 821iter [01:17, 11.31iter/s]Best score: 0.1419: : 822iter [01:17, 11.31iter/s]Best score: 0.1419: : 823iter [01:17, 11.49iter/s]Best score: 0.1419: : 823iter [01:17, 11.49iter/s]Best score: 0.1419: : 824iter [01:17, 11.49iter/s]Best score: 0.1419: : 825iter [01:17, 11.58iter/s]Best score: 0.1419: : 825iter [01:17, 11.58iter/s]Best score: 0.1419: : 826iter [01:17, 11.58iter/s]Best score: 0.1419: : 827iter [01:17, 11.67iter/s]Best score: 0.1419: : 827iter [01:17, 11.67iter/s]Best score: 0.1419: : 828iter [01:17, 11.67iter/s]Best score: 0.1419: : 829iter [01:17, 11.74iter/s]Best score: 0.1419: : 829iter [01:17, 11.74iter/s]Best score: 0.1419: : 830iter [01:17, 11.74iter/s]Best score: 0.1419: : 831iter [01:17, 11.53iter/s]Best score: 0.1419: : 831iter [01:18, 11.53iter/s]Best score: 0.1419: : 832iter [01:18, 11.53iter/s]Best score: 0.1419: : 833iter [01:18, 11.58iter/s]Best score: 0.1419: : 833iter [01:18, 11.58iter/s]Best score: 0.1419: : 834iter [01:18, 11.58iter/s]Best score: 0.1419: : 835iter [01:18, 11.67iter/s]Best score: 0.1419: : 835iter [01:18, 11.67iter/s]Best score: 0.1419: : 836iter [01:18, 11.67iter/s]Best score: 0.1419: : 837iter [01:18, 11.74iter/s]Best score: 0.1419: : 837iter [01:18, 11.74iter/s]Best score: 0.1419: : 838iter [01:18, 11.74iter/s]Best score: 0.1419: : 839iter [01:18, 11.74iter/s]Best score: 0.1415: : 839iter [01:18, 11.74iter/s]Best score: 0.1415: : 840iter [01:18, 11.74iter/s]Best score: 0.1415: : 841iter [01:18, 11.55iter/s]Best score: 0.1415: : 841iter [01:18, 11.55iter/s]Best score: 0.1415: : 842iter [01:19, 11.55iter/s]Best score: 0.1415: : 843iter [01:19, 11.56iter/s]Best score: 0.1415: : 843iter [01:19, 11.56iter/s]Best score: 0.1415: : 844iter [01:19, 11.56iter/s]Best score: 0.1415: : 845iter [01:19, 11.66iter/s]Best score: 0.1415: : 845iter [01:19, 11.66iter/s]Best score: 0.1415: : 846iter [01:19, 11.66iter/s]Best score: 0.1415: : 847iter [01:19, 11.72iter/s]Best score: 0.1415: : 847iter [01:19, 11.72iter/s]Best score: 0.1415: : 848iter [01:19, 11.72iter/s]Best score: 0.1415: : 849iter [01:19, 11.77iter/s]
[ITER 850] Best: 0.1413
[PARAMS] Current best parameters:
  fx: 550.3359
  fy: 550.2478
  px: 874.2497
  py: 958.0291
  k1: -0.03145351
  k2: 0.02264793
  k3: -0.01289685
  k4: 0.00251060
  p1: -0.00981991
  p2: -0.00454172
  p3: -0.00196946
  p4: 0.00244552
  s1: 0.0080
  s2: -0.0040
  s3: -0.0019
  s4: -0.0013
  tilt_x: -0.0102
  tilt_y: -0.0157
  scale: 2.9906
  rotation: 0.3924
Best score: 0.1413: : 849iter [01:19, 11.77iter/s]Best score: 0.1413: : 850iter [01:20, 11.77iter/s]Best score: 0.1413: : 851iter [01:20,  7.54iter/s]Best score: 0.1413: : 851iter [01:20,  7.54iter/s]Best score: 0.1413: : 852iter [01:20,  7.54iter/s]Best score: 0.1413: : 853iter [01:20,  8.47iter/s]Best score: 0.1413: : 853iter [01:20,  8.47iter/s]Best score: 0.1413: : 854iter [01:20,  8.47iter/s]Best score: 0.1413: : 855iter [01:20,  9.25iter/s]Best score: 0.1413: : 855iter [01:20,  9.25iter/s]Best score: 0.1413: : 856iter [01:20,  9.25iter/s]Best score: 0.1413: : 857iter [01:20,  9.90iter/s]Best score: 0.1413: : 857iter [01:20,  9.90iter/s]Best score: 0.1413: : 858iter [01:20,  9.90iter/s]Best score: 0.1413: : 859iter [01:20, 10.43iter/s]Best score: 0.1404: : 859iter [01:20, 10.43iter/s]Best score: 0.1404: : 860iter [01:20, 10.43iter/s]Best score: 0.1404: : 861iter [01:20, 10.61iter/s]Best score: 0.1404: : 861iter [01:20, 10.61iter/s]Best score: 0.1404: : 862iter [01:21, 10.61iter/s]Best score: 0.1404: : 863iter [01:21, 10.95iter/s]Best score: 0.1404: : 863iter [01:21, 10.95iter/s]Best score: 0.1404: : 864iter [01:21, 10.95iter/s]Best score: 0.1404: : 865iter [01:21, 11.21iter/s]Best score: 0.1404: : 865iter [01:21, 11.21iter/s]Best score: 0.1404: : 866iter [01:21, 11.21iter/s]Best score: 0.1404: : 867iter [01:21, 11.39iter/s]Best score: 0.1404: : 867iter [01:21, 11.39iter/s]Best score: 0.1404: : 868iter [01:21, 11.39iter/s]Best score: 0.1404: : 869iter [01:21, 11.53iter/s]Best score: 0.1398: : 869iter [01:21, 11.53iter/s]Best score: 0.1398: : 870iter [01:21, 11.53iter/s]Best score: 0.1398: : 871iter [01:21, 11.44iter/s]Best score: 0.1398: : 871iter [01:21, 11.44iter/s]Best score: 0.1398: : 872iter [01:21, 11.44iter/s]Best score: 0.1398: : 873iter [01:21, 11.54iter/s]Best score: 0.1398: : 873iter [01:21, 11.54iter/s]Best score: 0.1398: : 874iter [01:22, 11.54iter/s]Best score: 0.1398: : 875iter [01:22, 11.61iter/s]Best score: 0.1398: : 875iter [01:22, 11.61iter/s]Best score: 0.1398: : 876iter [01:22, 11.61iter/s]Best score: 0.1398: : 877iter [01:22, 11.59iter/s]Best score: 0.1398: : 877iter [01:22, 11.59iter/s]Best score: 0.1398: : 878iter [01:22, 11.59iter/s]Best score: 0.1398: : 879iter [01:22, 11.67iter/s]Best score: 0.1398: : 879iter [01:22, 11.67iter/s]Best score: 0.1398: : 880iter [01:22, 11.67iter/s]Best score: 0.1398: : 881iter [01:22, 11.54iter/s]Best score: 0.1398: : 881iter [01:22, 11.54iter/s]Best score: 0.1398: : 882iter [01:22, 11.54iter/s]Best score: 0.1398: : 883iter [01:22, 11.65iter/s]Best score: 0.1398: : 883iter [01:22, 11.65iter/s]Best score: 0.1398: : 884iter [01:22, 11.65iter/s]Best score: 0.1398: : 885iter [01:22, 11.73iter/s]Best score: 0.1398: : 885iter [01:22, 11.73iter/s]Best score: 0.1398: : 886iter [01:23, 11.73iter/s]Best score: 0.1398: : 887iter [01:23, 11.78iter/s]Best score: 0.1398: : 887iter [01:23, 11.78iter/s]Best score: 0.1398: : 888iter [01:23, 11.78iter/s]Best score: 0.1398: : 889iter [01:23, 11.83iter/s]Best score: 0.1398: : 889iter [01:23, 11.83iter/s]Best score: 0.1398: : 890iter [01:23, 11.83iter/s]Best score: 0.1398: : 891iter [01:23, 11.65iter/s]Best score: 0.1398: : 891iter [01:23, 11.65iter/s]Best score: 0.1398: : 892iter [01:23, 11.65iter/s]Best score: 0.1398: : 893iter [01:23, 11.72iter/s]Best score: 0.1398: : 893iter [01:23, 11.72iter/s]Best score: 0.1398: : 894iter [01:23, 11.72iter/s]Best score: 0.1398: : 895iter [01:23, 11.68iter/s]Best score: 0.1398: : 895iter [01:23, 11.68iter/s]Best score: 0.1398: : 896iter [01:23, 11.68iter/s]Best score: 0.1398: : 897iter [01:23, 11.68iter/s]Best score: 0.1398: : 897iter [01:24, 11.68iter/s]Best score: 0.1398: : 898iter [01:24, 11.68iter/s]Best score: 0.1398: : 899iter [01:24, 11.73iter/s]
[ITER 900] Best: 0.1398
[PARAMS] Current best parameters:
  fx: 551.1815
  fy: 551.2436
  px: 874.9285
  py: 957.2439
  k1: -0.03006483
  k2: 0.01729790
  k3: -0.00867558
  k4: 0.00144427
  p1: -0.00648247
  p2: -0.00402138
  p3: -0.00494504
  p4: 0.00107478
  s1: 0.0114
  s2: -0.0030
  s3: -0.0038
  s4: 0.0007
  tilt_x: -0.0206
  tilt_y: -0.0181
  scale: 2.9904
  rotation: 0.3986
Best score: 0.1398: : 899iter [01:24, 11.73iter/s]Best score: 0.1398: : 900iter [01:24, 11.73iter/s]Best score: 0.1398: : 901iter [01:24,  7.51iter/s]Best score: 0.1398: : 901iter [01:24,  7.51iter/s]Best score: 0.1398: : 902iter [01:24,  7.51iter/s]Best score: 0.1398: : 903iter [01:24,  8.44iter/s]Best score: 0.1398: : 903iter [01:24,  8.44iter/s]Best score: 0.1398: : 904iter [01:24,  8.44iter/s]Best score: 0.1398: : 905iter [01:24,  9.24iter/s]Best score: 0.1398: : 905iter [01:25,  9.24iter/s]Best score: 0.1398: : 906iter [01:25,  9.24iter/s]Best score: 0.1398: : 907iter [01:25,  9.90iter/s]Best score: 0.1398: : 907iter [01:25,  9.90iter/s]Best score: 0.1398: : 908iter [01:25,  9.90iter/s]Best score: 0.1398: : 909iter [01:25, 10.42iter/s]Best score: 0.1396: : 909iter [01:25, 10.42iter/s]Best score: 0.1396: : 910iter [01:25, 10.42iter/s]Best score: 0.1396: : 911iter [01:25, 10.62iter/s]Best score: 0.1396: : 911iter [01:25, 10.62iter/s]Best score: 0.1396: : 912iter [01:25, 10.62iter/s]Best score: 0.1396: : 913iter [01:25, 10.98iter/s]Best score: 0.1396: : 913iter [01:25, 10.98iter/s]Best score: 0.1396: : 914iter [01:25, 10.98iter/s]Best score: 0.1396: : 915iter [01:25, 11.23iter/s]Best score: 0.1396: : 915iter [01:25, 11.23iter/s]Best score: 0.1396: : 916iter [01:25, 11.23iter/s]Best score: 0.1396: : 917iter [01:25, 11.41iter/s]Best score: 0.1396: : 917iter [01:26, 11.41iter/s]Best score: 0.1396: : 918iter [01:26, 11.41iter/s]Best score: 0.1396: : 919iter [01:26, 11.56iter/s]Best score: 0.1396: : 919iter [01:26, 11.56iter/s]Best score: 0.1396: : 920iter [01:26, 11.56iter/s]Best score: 0.1396: : 921iter [01:26, 11.45iter/s]Best score: 0.1396: : 921iter [01:26, 11.45iter/s]Best score: 0.1396: : 922iter [01:26, 11.45iter/s]Best score: 0.1396: : 923iter [01:26, 11.58iter/s]Best score: 0.1396: : 923iter [01:26, 11.58iter/s]Best score: 0.1396: : 924iter [01:26, 11.58iter/s]Best score: 0.1396: : 925iter [01:26, 11.67iter/s]Best score: 0.1396: : 925iter [01:26, 11.67iter/s]Best score: 0.1396: : 926iter [01:26, 11.67iter/s]Best score: 0.1396: : 927iter [01:26, 11.73iter/s]Best score: 0.1396: : 927iter [01:26, 11.73iter/s]Best score: 0.1396: : 928iter [01:26, 11.73iter/s]Best score: 0.1396: : 929iter [01:26, 11.75iter/s]Best score: 0.1396: : 929iter [01:27, 11.75iter/s]Best score: 0.1396: : 930iter [01:27, 11.75iter/s]Best score: 0.1396: : 931iter [01:27, 11.52iter/s]Best score: 0.1396: : 931iter [01:27, 11.52iter/s]Best score: 0.1396: : 932iter [01:27, 11.52iter/s]Best score: 0.1396: : 933iter [01:27, 11.57iter/s]Best score: 0.1396: : 933iter [01:27, 11.57iter/s]Best score: 0.1396: : 934iter [01:27, 11.57iter/s]Best score: 0.1396: : 935iter [01:27, 11.67iter/s]Best score: 0.1396: : 935iter [01:27, 11.67iter/s]Best score: 0.1396: : 936iter [01:27, 11.67iter/s]Best score: 0.1396: : 937iter [01:27, 11.74iter/s]Best score: 0.1396: : 937iter [01:27, 11.74iter/s]Best score: 0.1396: : 938iter [01:27, 11.74iter/s]Best score: 0.1396: : 939iter [01:27, 11.73iter/s]Best score: 0.1396: : 939iter [01:27, 11.73iter/s]Best score: 0.1396: : 940iter [01:28, 11.73iter/s]Best score: 0.1396: : 941iter [01:28, 11.51iter/s]Best score: 0.1396: : 941iter [01:28, 11.51iter/s]Best score: 0.1396: : 942iter [01:28, 11.51iter/s]Best score: 0.1396: : 943iter [01:28, 11.62iter/s]Best score: 0.1396: : 943iter [01:28, 11.62iter/s]Best score: 0.1396: : 944iter [01:28, 11.62iter/s]Best score: 0.1396: : 945iter [01:28, 11.70iter/s]Best score: 0.1396: : 945iter [01:28, 11.70iter/s]Best score: 0.1396: : 946iter [01:28, 11.70iter/s]Best score: 0.1396: : 947iter [01:28, 11.76iter/s]Best score: 0.1396: : 947iter [01:28, 11.76iter/s]Best score: 0.1396: : 948iter [01:28, 11.76iter/s]Best score: 0.1396: : 949iter [01:28, 11.81iter/s]
[ITER 950] Best: 0.1394
[PARAMS] Current best parameters:
  fx: 551.5416
  fy: 551.6399
  px: 875.6272
  py: 957.1119
  k1: -0.02940455
  k2: 0.01606244
  k3: -0.00820085
  k4: 0.00140513
  p1: -0.00515508
  p2: -0.00275696
  p3: -0.00830401
  p4: 0.00150357
  s1: 0.0141
  s2: -0.0032
  s3: -0.0020
  s4: 0.0003
  tilt_x: -0.0240
  tilt_y: -0.0189
  scale: 2.9894
  rotation: 0.3979
Best score: 0.1394: : 949iter [01:28, 11.81iter/s]Best score: 0.1394: : 950iter [01:29, 11.81iter/s]Best score: 0.1394: : 951iter [01:29,  7.62iter/s]Best score: 0.1394: : 951iter [01:29,  7.62iter/s]Best score: 0.1394: : 952iter [01:29,  7.62iter/s]Best score: 0.1394: : 953iter [01:29,  8.53iter/s]Best score: 0.1394: : 953iter [01:29,  8.53iter/s]Best score: 0.1394: : 954iter [01:29,  8.53iter/s]Best score: 0.1394: : 955iter [01:29,  9.32iter/s]Best score: 0.1394: : 955iter [01:29,  9.32iter/s]Best score: 0.1394: : 956iter [01:29,  9.32iter/s]Best score: 0.1394: : 957iter [01:29,  9.97iter/s]Best score: 0.1394: : 957iter [01:29,  9.97iter/s]Best score: 0.1394: : 958iter [01:29,  9.97iter/s]Best score: 0.1394: : 959iter [01:29, 10.47iter/s]Best score: 0.1393: : 959iter [01:29, 10.47iter/s]Best score: 0.1393: : 960iter [01:30, 10.47iter/s]Best score: 0.1393: : 961iter [01:30, 10.69iter/s]Best score: 0.1393: : 961iter [01:30, 10.69iter/s]Best score: 0.1393: : 962iter [01:30, 10.69iter/s]Best score: 0.1393: : 963iter [01:30, 11.01iter/s]Best score: 0.1393: : 963iter [01:30, 11.01iter/s]Best score: 0.1393: : 964iter [01:30, 11.01iter/s]Best score: 0.1393: : 965iter [01:30, 11.27iter/s]Best score: 0.1393: : 965iter [01:30, 11.27iter/s]Best score: 0.1393: : 966iter [01:30, 11.27iter/s]Best score: 0.1393: : 967iter [01:30, 11.45iter/s]Best score: 0.1393: : 967iter [01:30, 11.45iter/s]Best score: 0.1393: : 968iter [01:30, 11.45iter/s]Best score: 0.1393: : 969iter [01:30, 11.58iter/s]Best score: 0.1393: : 969iter [01:30, 11.58iter/s]Best score: 0.1393: : 970iter [01:30, 11.58iter/s]Best score: 0.1393: : 971iter [01:30, 11.45iter/s]Best score: 0.1393: : 971iter [01:30, 11.45iter/s]Best score: 0.1393: : 972iter [01:31, 11.45iter/s]Best score: 0.1393: : 973iter [01:31, 11.53iter/s]Best score: 0.1393: : 973iter [01:31, 11.53iter/s]Best score: 0.1393: : 974iter [01:31, 11.53iter/s]Best score: 0.1393: : 975iter [01:31, 11.63iter/s]Best score: 0.1393: : 975iter [01:31, 11.63iter/s]Best score: 0.1393: : 976iter [01:31, 11.63iter/s]Best score: 0.1393: : 977iter [01:31, 11.65iter/s]Best score: 0.1393: : 977iter [01:31, 11.65iter/s]Best score: 0.1393: : 978iter [01:31, 11.65iter/s]Best score: 0.1393: : 979iter [01:31, 11.67iter/s]Best score: 0.1393: : 979iter [01:31, 11.67iter/s]Best score: 0.1393: : 980iter [01:31, 11.67iter/s]Best score: 0.1393: : 981iter [01:31, 11.53iter/s]Best score: 0.1393: : 981iter [01:31, 11.53iter/s]Best score: 0.1393: : 982iter [01:31, 11.53iter/s]Best score: 0.1393: : 983iter [01:31, 11.63iter/s]Best score: 0.1393: : 983iter [01:31, 11.63iter/s]Best score: 0.1393: : 984iter [01:32, 11.63iter/s]Best score: 0.1393: : 985iter [01:32, 11.70iter/s]Best score: 0.1393: : 985iter [01:32, 11.70iter/s]Best score: 0.1393: : 986iter [01:32, 11.70iter/s]Best score: 0.1393: : 987iter [01:32, 11.74iter/s]Best score: 0.1393: : 987iter [01:32, 11.74iter/s]Best score: 0.1393: : 988iter [01:32, 11.74iter/s]Best score: 0.1393: : 989iter [01:32, 11.74iter/s]Best score: 0.1392: : 989iter [01:32, 11.74iter/s]Best score: 0.1392: : 990iter [01:32, 11.74iter/s]Best score: 0.1392: : 991iter [01:32, 11.55iter/s]Best score: 0.1392: : 991iter [01:32, 11.55iter/s]Best score: 0.1392: : 992iter [01:32, 11.55iter/s]Best score: 0.1392: : 993iter [01:32, 11.63iter/s]Best score: 0.1392: : 993iter [01:32, 11.63iter/s]Best score: 0.1392: : 994iter [01:32, 11.63iter/s]Best score: 0.1392: : 995iter [01:32, 11.60iter/s]Best score: 0.1392: : 995iter [01:33, 11.60iter/s]Best score: 0.1392: : 996iter [01:33, 11.60iter/s]Best score: 0.1392: : 997iter [01:33, 11.64iter/s]Best score: 0.1392: : 997iter [01:33, 11.64iter/s]Best score: 0.1392: : 998iter [01:33, 11.64iter/s]Best score: 0.1392: : 999iter [01:33, 11.70iter/s]
[ITER 1000] Best: 0.1391
[PARAMS] Current best parameters:
  fx: 551.2658
  fy: 551.3458
  px: 875.5420
  py: 957.2383
  k1: -0.02633321
  k2: 0.01084672
  k3: -0.00462689
  k4: 0.00054067
  p1: -0.00584109
  p2: -0.00249056
  p3: -0.00725083
  p4: 0.00186119
  s1: 0.0127
  s2: -0.0036
  s3: -0.0020
  s4: -0.0002
  tilt_x: -0.0222
  tilt_y: -0.0179
  scale: 2.9871
  rotation: 0.4008
Best score: 0.1391: : 999iter [01:33, 11.70iter/s]Best score: 0.1391: : 1000iter [01:33, 11.70iter/s]Best score: 0.1391: : 1001iter [01:33,  7.54iter/s]Best score: 0.1391: : 1001iter [01:33,  7.54iter/s]Best score: 0.1391: : 1002iter [01:33,  7.54iter/s]Best score: 0.1391: : 1003iter [01:33,  8.44iter/s]Best score: 0.1391: : 1003iter [01:34,  8.44iter/s]Best score: 0.1391: : 1004iter [01:34,  8.44iter/s]Best score: 0.1391: : 1005iter [01:34,  9.18iter/s]Best score: 0.1391: : 1005iter [01:34,  9.18iter/s]Best score: 0.1391: : 1006iter [01:34,  9.18iter/s]Best score: 0.1391: : 1007iter [01:34,  9.81iter/s]Best score: 0.1391: : 1007iter [01:34,  9.81iter/s]Best score: 0.1391: : 1008iter [01:34,  9.81iter/s]Best score: 0.1391: : 1009iter [01:34, 10.36iter/s]Best score: 0.1390: : 1009iter [01:34, 10.36iter/s]Best score: 0.1390: : 1010iter [01:34, 10.36iter/s]Best score: 0.1390: : 1011iter [01:34, 10.56iter/s]Best score: 0.1390: : 1011iter [01:34, 10.56iter/s]Best score: 0.1390: : 1012iter [01:34, 10.56iter/s]Best score: 0.1390: : 1013iter [01:34, 10.93iter/s]Best score: 0.1390: : 1013iter [01:34, 10.93iter/s]Best score: 0.1390: : 1014iter [01:34, 10.93iter/s]Best score: 0.1390: : 1015iter [01:34, 11.20iter/s]Best score: 0.1390: : 1015iter [01:35, 11.20iter/s]Best score: 0.1390: : 1016iter [01:35, 11.20iter/s]Best score: 0.1390: : 1017iter [01:35, 11.41iter/s]Best score: 0.1390: : 1017iter [01:35, 11.41iter/s]Best score: 0.1390: : 1018iter [01:35, 11.41iter/s]Best score: 0.1390: : 1019iter [01:35, 11.54iter/s]Best score: 0.1390: : 1019iter [01:35, 11.54iter/s]Best score: 0.1390: : 1020iter [01:35, 11.54iter/s]Best score: 0.1390: : 1021iter [01:35, 11.44iter/s]Best score: 0.1390: : 1021iter [01:35, 11.44iter/s]Best score: 0.1390: : 1022iter [01:35, 11.44iter/s]Best score: 0.1390: : 1023iter [01:35, 11.59iter/s]Best score: 0.1390: : 1023iter [01:35, 11.59iter/s]Best score: 0.1390: : 1024iter [01:35, 11.59iter/s]Best score: 0.1390: : 1025iter [01:35, 11.67iter/s]Best score: 0.1390: : 1025iter [01:35, 11.67iter/s]Best score: 0.1390: : 1026iter [01:35, 11.67iter/s]Best score: 0.1390: : 1027iter [01:35, 11.73iter/s]Best score: 0.1390: : 1027iter [01:36, 11.73iter/s]Best score: 0.1390: : 1028iter [01:36, 11.73iter/s]Best score: 0.1390: : 1029iter [01:36, 11.73iter/s]Best score: 0.1390: : 1029iter [01:36, 11.73iter/s]Best score: 0.1390: : 1030iter [01:36, 11.73iter/s]Best score: 0.1390: : 1031iter [01:36, 11.56iter/s]Best score: 0.1390: : 1031iter [01:36, 11.56iter/s]Best score: 0.1390: : 1032iter [01:36, 11.56iter/s]Best score: 0.1390: : 1033iter [01:36, 11.66iter/s]Best score: 0.1390: : 1033iter [01:36, 11.66iter/s]Best score: 0.1390: : 1034iter [01:36, 11.66iter/s]Best score: 0.1390: : 1035iter [01:36, 11.72iter/s]Best score: 0.1390: : 1035iter [01:36, 11.72iter/s]Best score: 0.1390: : 1036iter [01:36, 11.72iter/s]Best score: 0.1390: : 1037iter [01:36, 11.73iter/s]Best score: 0.1390: : 1037iter [01:36, 11.73iter/s]Best score: 0.1390: : 1038iter [01:36, 11.73iter/s]Best score: 0.1390: : 1039iter [01:36, 11.77iter/s]Best score: 0.1389: : 1039iter [01:37, 11.77iter/s]Best score: 0.1389: : 1040iter [01:37, 11.77iter/s]Best score: 0.1389: : 1041iter [01:37, 11.61iter/s]Best score: 0.1389: : 1041iter [01:37, 11.61iter/s]Best score: 0.1389: : 1042iter [01:37, 11.61iter/s]Best score: 0.1389: : 1043iter [01:37, 11.69iter/s]Best score: 0.1389: : 1043iter [01:37, 11.69iter/s]Best score: 0.1389: : 1044iter [01:37, 11.69iter/s]Best score: 0.1389: : 1045iter [01:37, 11.76iter/s]Best score: 0.1389: : 1045iter [01:37, 11.76iter/s]Best score: 0.1389: : 1046iter [01:37, 11.76iter/s]Best score: 0.1389: : 1047iter [01:37, 11.80iter/s]Best score: 0.1389: : 1047iter [01:37, 11.80iter/s]Best score: 0.1389: : 1048iter [01:37, 11.80iter/s]Best score: 0.1389: : 1049iter [01:37, 11.76iter/s]
[ITER 1050] Best: 0.1389
[PARAMS] Current best parameters:
  fx: 549.6339
  fy: 549.7303
  px: 875.4665
  py: 957.4213
  k1: -0.02471796
  k2: 0.01121226
  k3: -0.00516178
  k4: 0.00067230
  p1: -0.00499099
  p2: -0.00281597
  p3: -0.00820912
  p4: 0.00130351
  s1: 0.0138
  s2: -0.0030
  s3: -0.0016
  s4: 0.0003
  tilt_x: -0.0229
  tilt_y: -0.0183
  scale: 2.9877
  rotation: 0.3989
Best score: 0.1389: : 1049iter [01:37, 11.76iter/s]Best score: 0.1389: : 1050iter [01:38, 11.76iter/s]Best score: 0.1389: : 1051iter [01:38,  7.59iter/s]Best score: 0.1389: : 1051iter [01:38,  7.59iter/s]Best score: 0.1389: : 1052iter [01:38,  7.59iter/s]Best score: 0.1389: : 1053iter [01:38,  8.51iter/s]Best score: 0.1389: : 1053iter [01:38,  8.51iter/s]Best score: 0.1389: : 1054iter [01:38,  8.51iter/s]Best score: 0.1389: : 1055iter [01:38,  9.30iter/s]Best score: 0.1389: : 1055iter [01:38,  9.30iter/s]Best score: 0.1389: : 1056iter [01:38,  9.30iter/s]Best score: 0.1389: : 1057iter [01:38,  9.95iter/s]Best score: 0.1389: : 1057iter [01:38,  9.95iter/s]Best score: 0.1389: : 1058iter [01:39,  9.95iter/s]Best score: 0.1389: : 1059iter [01:39, 10.40iter/s]Best score: 0.1389: : 1059iter [01:39, 10.40iter/s]Best score: 0.1389: : 1060iter [01:39, 10.40iter/s]Best score: 0.1389: : 1061iter [01:39, 10.64iter/s]Best score: 0.1389: : 1061iter [01:39, 10.64iter/s]Best score: 0.1389: : 1062iter [01:39, 10.64iter/s]Best score: 0.1389: : 1063iter [01:39, 10.97iter/s]Best score: 0.1389: : 1063iter [01:39, 10.97iter/s]Best score: 0.1389: : 1064iter [01:39, 10.97iter/s]Best score: 0.1389: : 1065iter [01:39, 11.20iter/s]Best score: 0.1389: : 1065iter [01:39, 11.20iter/s]Best score: 0.1389: : 1066iter [01:39, 11.20iter/s]Best score: 0.1389: : 1067iter [01:39, 11.30iter/s]Best score: 0.1389: : 1067iter [01:39, 11.30iter/s]Best score: 0.1389: : 1068iter [01:39, 11.30iter/s]Best score: 0.1389: : 1069iter [01:39, 11.43iter/s]Best score: 0.1389: : 1069iter [01:39, 11.43iter/s]Best score: 0.1389: : 1070iter [01:40, 11.43iter/s]Best score: 0.1389: : 1071iter [01:40, 11.36iter/s]Best score: 0.1389: : 1071iter [01:40, 11.36iter/s]Best score: 0.1389: : 1072iter [01:40, 11.36iter/s]Best score: 0.1389: : 1073iter [01:40, 11.51iter/s]Best score: 0.1389: : 1073iter [01:40, 11.51iter/s]Best score: 0.1389: : 1074iter [01:40, 11.51iter/s]Best score: 0.1389: : 1075iter [01:40, 11.62iter/s]Best score: 0.1389: : 1075iter [01:40, 11.62iter/s]Best score: 0.1389: : 1076iter [01:40, 11.62iter/s]Best score: 0.1389: : 1077iter [01:40, 11.65iter/s]Best score: 0.1389: : 1077iter [01:40, 11.65iter/s]Best score: 0.1389: : 1078iter [01:40, 11.65iter/s]Best score: 0.1389: : 1079iter [01:40, 11.72iter/s]Best score: 0.1388: : 1079iter [01:40, 11.72iter/s]Best score: 0.1388: : 1080iter [01:40, 11.72iter/s]Best score: 0.1388: : 1081iter [01:40, 11.55iter/s]Best score: 0.1388: : 1081iter [01:40, 11.55iter/s]Best score: 0.1388: : 1082iter [01:41, 11.55iter/s]Best score: 0.1388: : 1083iter [01:41, 11.67iter/s]Best score: 0.1388: : 1083iter [01:41, 11.67iter/s]Best score: 0.1388: : 1084iter [01:41, 11.67iter/s]Best score: 0.1388: : 1085iter [01:41, 11.64iter/s]Best score: 0.1388: : 1085iter [01:41, 11.64iter/s]Best score: 0.1388: : 1086iter [01:41, 11.64iter/s]Best score: 0.1388: : 1087iter [01:41, 11.73iter/s]Best score: 0.1388: : 1087iter [01:41, 11.73iter/s]Best score: 0.1388: : 1088iter [01:41, 11.73iter/s]Best score: 0.1388: : 1089iter [01:41, 11.77iter/s]Best score: 0.1388: : 1089iter [01:41, 11.77iter/s]Best score: 0.1388: : 1090iter [01:41, 11.77iter/s]Best score: 0.1388: : 1091iter [01:41, 11.54iter/s]Best score: 0.1388: : 1091iter [01:41, 11.54iter/s]Best score: 0.1388: : 1092iter [01:41, 11.54iter/s]Best score: 0.1388: : 1093iter [01:41, 11.62iter/s]Best score: 0.1388: : 1093iter [01:42, 11.62iter/s]Best score: 0.1388: : 1094iter [01:42, 11.62iter/s]Best score: 0.1388: : 1095iter [01:42, 11.70iter/s]Best score: 0.1388: : 1095iter [01:42, 11.70iter/s]Best score: 0.1388: : 1096iter [01:42, 11.70iter/s]Best score: 0.1388: : 1097iter [01:42, 11.73iter/s]Best score: 0.1388: : 1097iter [01:42, 11.73iter/s]Best score: 0.1388: : 1098iter [01:42, 11.73iter/s]Best score: 0.1388: : 1099iter [01:42, 11.79iter/s]
[ITER 1100] Best: 0.1388
[PARAMS] Current best parameters:
  fx: 547.6127
  fy: 547.6900
  px: 875.8342
  py: 957.4420
  k1: -0.02020538
  k2: 0.00736357
  k3: -0.00311615
  k4: 0.00025000
  p1: -0.00531023
  p2: -0.00278422
  p3: -0.00617464
  p4: 0.00115410
  s1: 0.0124
  s2: -0.0031
  s3: -0.0034
  s4: 0.0006
  tilt_x: -0.0220
  tilt_y: -0.0199
  scale: 2.9860
  rotation: 0.3996
Best score: 0.1388: : 1099iter [01:42, 11.79iter/s]Best score: 0.1388: : 1100iter [01:42, 10.70iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.138768 -> 0.138723

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,991 → 95,389 within 3500mm ring
  Ring polish did not improve score: 0.138723
  Success: True
  Tangential distortion: p1=-0.005301, p2=-0.002795, p3=-0.006184, p4=0.001149
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1387
[✅] Parameters copied to: /working/STLC-083WF_W028(6)_2026-02-04/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 547.6126869321618
    fy: 547.6900349046645
    px: 875.8341917674574
    py: 957.4420432123908
    k1: -0.020248997480107275
    k2: 0.0073804861634278315
    k3: -0.003070305967065878
    k4: 0.0002262129548773592
    p1: -0.00530104085536102
    p2: -0.00279526852139516
    p3: -0.0061835736556594715
    p4: 0.001148709378577526
    scale: 2.986024083183789
    rotation: 0.39957759738438703
    mmpp: 3.408006572554563
    nmpp: 3408006.572554563

[🔄] Converting 1495 frames to PTD, creating debug images for 400 calibration frames...
📁 Rigs:   0%|          | 0/4 [00:00<?, ?rig/s]
   🔄 2000R:   0%|          | 0/593 [00:00<?, ?frame/s][A
   🔄 2000R:   3%|▎         | 17/593 [00:00<00:03, 169.35frame/s][A
   🔄 2000R:   6%|▌         | 35/593 [00:00<00:03, 172.08frame/s][A
   🔄 2000R:   9%|▉         | 54/593 [00:00<00:03, 176.37frame/s][A
   🔄 2000R:  12%|█▏        | 73/593 [00:00<00:02, 178.30frame/s][A
   🔄 2000R:  16%|█▌        | 92/593 [00:00<00:02, 179.64frame/s][A
   🔄 2000R:  19%|█▊        | 111/593 [00:00<00:02, 180.02frame/s][A
   🔄 2000R:  22%|██▏       | 130/593 [00:00<00:02, 180.53frame/s][A
   🔄 2000R:  25%|██▌       | 149/593 [00:00<00:02, 181.12frame/s][A
   🔄 2000R:  28%|██▊       | 168/593 [00:00<00:02, 181.46frame/s][A
   🔄 2000R:  32%|███▏      | 187/593 [00:01<00:02, 180.77frame/s][A
   🔄 2000R:  35%|███▍      | 206/593 [00:01<00:02, 178.39frame/s][A
   🔄 2000R:  38%|███▊      | 224/593 [00:01<00:02, 176.81frame/s][A
   🔄 2000R:  41%|████      | 242/593 [00:01<00:01, 176.30frame/s][A
   🔄 2000R:  44%|████▍     | 261/593 [00:01<00:01, 177.82frame/s][A
   🔄 2000R:  47%|████▋     | 280/593 [00:01<00:01, 178.70frame/s][A
   🔄 2000R:  50%|█████     | 298/593 [00:01<00:01, 178.85frame/s][A
   🔄 2000R:  53%|█████▎    | 316/593 [00:01<00:01, 178.19frame/s][A
   🔄 2000R:  56%|█████▋    | 334/593 [00:01<00:01, 177.11frame/s][A
   🔄 2000R:  59%|█████▉    | 352/593 [00:01<00:01, 176.89frame/s][A
   🔄 2000R:  62%|██████▏   | 370/593 [00:02<00:01, 177.28frame/s][A
   🔄 2000R:  65%|██████▌   | 388/593 [00:02<00:01, 177.72frame/s][A
   🔄 2000R:  69%|██████▊   | 407/593 [00:02<00:01, 178.66frame/s][A
   🔄 2000R:  72%|███████▏  | 426/593 [00:02<00:00, 179.06frame/s][A
   🔄 2000R:  75%|███████▌  | 445/593 [00:02<00:00, 179.44frame/s][A
   🔄 2000R:  78%|███████▊  | 463/593 [00:02<00:00, 178.88frame/s][A
   🔄 2000R:  81%|████████  | 481/593 [00:02<00:00, 177.66frame/s][A
   🔄 2000R:  84%|████████▍ | 499/593 [00:02<00:00, 176.67frame/s][A
   🔄 2000R:  87%|████████▋ | 517/593 [00:02<00:00, 177.34frame/s][A
   🔄 2000R:  90%|█████████ | 536/593 [00:03<00:00, 178.35frame/s][A
   🔄 2000R:  94%|█████████▎| 555/593 [00:03<00:00, 179.02frame/s][A
   🔄 2000R:  97%|█████████▋| 573/593 [00:03<00:00, 178.40frame/s][A
   🔄 2000R: 100%|█████████▉| 591/593 [00:03<00:00, 176.37frame/s][A
                                                                  [A📁 Rigs:  25%|██▌       | 1/4 [00:06<00:18,  6.22s/rig]
   🔄 1000:   0%|          | 0/199 [00:00<?, ?frame/s][A
   🔄 1000:  10%|▉         | 19/199 [00:00<00:00, 185.57frame/s][A
   🔄 1000:  19%|█▉        | 38/199 [00:00<00:00, 185.07frame/s][A
   🔄 1000:  29%|██▊       | 57/199 [00:00<00:00, 183.72frame/s][A
   🔄 1000:  38%|███▊      | 76/199 [00:00<00:00, 183.41frame/s][A
   🔄 1000:  48%|████▊     | 95/199 [00:00<00:00, 182.07frame/s][A
   🔄 1000:  57%|█████▋    | 114/199 [00:00<00:00, 181.44frame/s][A
   🔄 1000:  67%|██████▋   | 133/199 [00:00<00:00, 181.74frame/s][A
   🔄 1000:  76%|███████▋  | 152/199 [00:00<00:00, 182.08frame/s][A
   🔄 1000:  86%|████████▌ | 171/199 [00:00<00:00, 182.77frame/s][A
   🔄 1000:  95%|█████████▌| 190/199 [00:01<00:00, 184.01frame/s][A
                                                                 [A📁 Rigs:  50%|█████     | 2/4 [00:08<00:07,  3.63s/rig]
   🔄 2000L:   0%|          | 0/369 [00:00<?, ?frame/s][A
   🔄 2000L:   5%|▍         | 18/369 [00:00<00:02, 170.90frame/s][A
   🔄 2000L:  10%|▉         | 36/369 [00:00<00:01, 175.65frame/s][A
   🔄 2000L:  15%|█▍        | 55/369 [00:00<00:01, 177.89frame/s][A
   🔄 2000L:  20%|█▉        | 73/369 [00:00<00:01, 178.67frame/s][A
   🔄 2000L:  25%|██▍       | 91/369 [00:00<00:01, 179.00frame/s][A
   🔄 2000L:  30%|██▉       | 109/369 [00:00<00:01, 178.15frame/s][A
   🔄 2000L:  34%|███▍      | 127/369 [00:00<00:01, 177.22frame/s][A
   🔄 2000L:  39%|███▉      | 145/369 [00:00<00:01, 177.21frame/s][A
   🔄 2000L:  44%|████▍     | 163/369 [00:00<00:01, 177.93frame/s][A
   🔄 2000L:  49%|████▉     | 182/369 [00:01<00:01, 178.69frame/s][A
   🔄 2000L:  54%|█████▍    | 201/369 [00:01<00:00, 179.44frame/s][A
   🔄 2000L:  59%|█████▉    | 219/369 [00:01<00:01, 117.94frame/s][A
   🔄 2000L:  64%|██████▍   | 237/369 [00:01<00:01, 131.47frame/s][A
   🔄 2000L:  69%|██████▉   | 255/369 [00:01<00:00, 142.59frame/s][A
   🔄 2000L:  74%|███████▍  | 273/369 [00:01<00:00, 151.08frame/s][A
   🔄 2000L:  79%|███████▉  | 291/369 [00:01<00:00, 158.46frame/s][A
   🔄 2000L:  84%|████████▍ | 310/369 [00:01<00:00, 164.85frame/s][A
   🔄 2000L:  89%|████████▉ | 329/369 [00:02<00:00, 169.87frame/s][A
   🔄 2000L:  94%|█████████▍| 347/369 [00:02<00:00, 172.61frame/s][A
   🔄 2000L:  99%|█████████▉| 365/369 [00:02<00:00, 172.89frame/s][A
                                                                  [A📁 Rigs:  75%|███████▌  | 3/4 [00:11<00:03,  3.71s/rig]
   🔄 1500:   0%|          | 0/334 [00:00<?, ?frame/s][A
   🔄 1500:   5%|▌         | 18/334 [00:00<00:01, 173.19frame/s][A
   🔄 1500:  11%|█         | 36/334 [00:00<00:01, 175.76frame/s][A
   🔄 1500:  16%|█▋        | 55/334 [00:00<00:01, 178.01frame/s][A
   🔄 1500:  22%|██▏       | 73/334 [00:00<00:01, 178.58frame/s][A
   🔄 1500:  27%|██▋       | 91/334 [00:00<00:01, 178.29frame/s][A
   🔄 1500:  33%|███▎      | 109/334 [00:00<00:01, 178.22frame/s][A
   🔄 1500:  38%|███▊      | 127/334 [00:00<00:01, 177.39frame/s][A
   🔄 1500:  43%|████▎     | 145/334 [00:00<00:01, 176.77frame/s][A
   🔄 1500:  49%|████▉     | 163/334 [00:00<00:00, 176.96frame/s][A
   🔄 1500:  54%|█████▍    | 181/334 [00:01<00:00, 177.43frame/s][A
   🔄 1500:  60%|█████▉    | 199/334 [00:01<00:00, 177.66frame/s][A
   🔄 1500:  65%|██████▍   | 217/334 [00:01<00:00, 177.60frame/s][A
   🔄 1500:  70%|███████   | 235/334 [00:01<00:00, 177.16frame/s][A
   🔄 1500:  76%|███████▌  | 254/334 [00:01<00:00, 178.07frame/s][A
   🔄 1500:  81%|████████▏ | 272/334 [00:01<00:00, 178.26frame/s][A
   🔄 1500:  87%|████████▋ | 290/334 [00:01<00:00, 178.64frame/s][A
   🔄 1500:  93%|█████████▎| 309/334 [00:01<00:00, 179.34frame/s][A
   🔄 1500:  98%|█████████▊| 327/334 [00:01<00:00, 178.11frame/s][A
                                                                 [A📁 Rigs: 100%|██████████| 4/4 [00:15<00:00,  3.63s/rig]📁 Rigs: 100%|██████████| 4/4 [00:15<00:00,  3.83s/rig]
[✅] Saved PTDs: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/4_undistorted/output/ptd
📁 Rigs:   0%|          | 0/4 [00:00<?, ?rig/s]
   🔄 2000R:   0%|          | 0/100 [00:00<?, ?frame/s][A
   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 174.54frame/s][A
   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 174.90frame/s][A
   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 174.66frame/s][A
   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 175.33frame/s][A
   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 176.33frame/s][A
                                                                 [A📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.09rig/s]
   🔄 1000:   0%|          | 0/100 [00:00<?, ?frame/s][A
   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 183.46frame/s][A
   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 180.77frame/s][A
   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 178.64frame/s][A
   🔄 1000:  75%|███████▌  | 75/100 [00:00<00:00, 179.05frame/s][A
   🔄 1000:  94%|█████████▍| 94/100 [00:00<00:00, 179.99frame/s][A
                                                                [A📁 Rigs:  50%|█████     | 2/4 [00:01<00:01,  1.10rig/s]
   🔄 2000L:   0%|          | 0/100 [00:00<?, ?frame/s][A
   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 175.26frame/s][A
   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 174.93frame/s][A
   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 175.70frame/s][A
   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 175.41frame/s][A
   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 176.42frame/s][A
                                                                 [A📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.01rig/s]
   🔄 1500:   0%|          | 0/100 [00:00<?, ?frame/s][A
   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 174.66frame/s][A
   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 173.92frame/s][A
   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 174.20frame/s][A
   🔄 1500:  72%|███████▏  | 72/100 [00:00<00:00, 175.24frame/s][A
   🔄 1500:  91%|█████████ | 91/100 [00:00<00:00, 177.01frame/s][A
                                                                [A📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03s/rig]📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.00rig/s]
[✅] Saved PTDs: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.
📤 Writing LUT:   0%|          | 0/3240000 [00:00<?, ?px/s]📤 Writing LUT:   3%|▎         | 81368/3240000 [00:00<00:03, 813669.14px/s]📤 Writing LUT:   5%|▌         | 166736/3240000 [00:00<00:03, 837204.10px/s]📤 Writing LUT:   8%|▊         | 254749/3240000 [00:00<00:03, 856771.70px/s]📤 Writing LUT:  11%|█         | 345644/3240000 [00:00<00:03, 877370.08px/s]📤 Writing LUT:  13%|█▎        | 433866/3240000 [00:00<00:03, 879115.49px/s]📤 Writing LUT:  16%|█▌        | 521778/3240000 [00:00<00:03, 879046.77px/s]📤 Writing LUT:  19%|█▉        | 609683/3240000 [00:00<00:03, 876768.44px/s]📤 Writing LUT:  22%|██▏       | 697362/3240000 [00:00<00:02, 873069.34px/s]📤 Writing LUT:  24%|██▍       | 784673/3240000 [00:00<00:02, 869499.14px/s]📤 Writing LUT:  27%|██▋       | 871628/3240000 [00:01<00:02, 868893.10px/s]📤 Writing LUT:  30%|██▉       | 959507/3240000 [00:01<00:02, 871906.89px/s]📤 Writing LUT:  32%|███▏      | 1049607/3240000 [00:01<00:02, 880728.76px/s]📤 Writing LUT:  35%|███▌      | 1138917/3240000 [00:01<00:02, 884466.65px/s]📤 Writing LUT:  38%|███▊      | 1229449/3240000 [00:01<00:02, 890752.86px/s]📤 Writing LUT:  41%|████      | 1318529/3240000 [00:01<00:02, 889107.75px/s]📤 Writing LUT:  43%|████▎     | 1407444/3240000 [00:01<00:02, 886582.81px/s]📤 Writing LUT:  46%|████▌     | 1496380/3240000 [00:01<00:01, 887412.13px/s]📤 Writing LUT:  49%|████▉     | 1587433/3240000 [00:01<00:01, 894340.46px/s]📤 Writing LUT:  52%|█████▏    | 1676871/3240000 [00:01<00:01, 891643.59px/s]📤 Writing LUT:  55%|█████▍    | 1767135/3240000 [00:02<00:01, 894932.60px/s]📤 Writing LUT:  57%|█████▋    | 1856633/3240000 [00:02<00:01, 893346.68px/s]📤 Writing LUT:  60%|██████    | 1945971/3240000 [00:02<00:01, 888342.78px/s]📤 Writing LUT:  63%|██████▎   | 2035321/3240000 [00:02<00:01, 889880.17px/s]📤 Writing LUT:  66%|██████▌   | 2125442/3240000 [00:02<00:01, 893262.04px/s]📤 Writing LUT:  68%|██████▊   | 2216147/3240000 [00:02<00:01, 897383.31px/s]📤 Writing LUT:  71%|███████   | 2305891/3240000 [00:02<00:01, 893059.05px/s]📤 Writing LUT:  74%|███████▍  | 2395205/3240000 [00:02<00:00, 891555.86px/s]📤 Writing LUT:  77%|███████▋  | 2484366/3240000 [00:02<00:00, 883122.52px/s]📤 Writing LUT:  79%|███████▉  | 2572697/3240000 [00:02<00:00, 879591.48px/s]📤 Writing LUT:  82%|████████▏ | 2661369/3240000 [00:03<00:00, 881707.61px/s]📤 Writing LUT:  85%|████████▍ | 2751058/3240000 [00:03<00:00, 886229.58px/s]📤 Writing LUT:  88%|████████▊ | 2841821/3240000 [00:03<00:00, 892616.65px/s]📤 Writing LUT:  91%|█████████ | 2932398/3240000 [00:03<00:00, 896549.01px/s]📤 Writing LUT:  93%|█████████▎| 3022990/3240000 [00:03<00:00, 899352.01px/s]📤 Writing LUT:  96%|█████████▌| 3113122/3240000 [00:03<00:00, 899940.41px/s]📤 Writing LUT:  99%|█████████▉| 3204359/3240000 [00:03<00:00, 903662.65px/s]📤 Writing LUT: 100%|██████████| 3240000/3240000 [00:03<00:00, 886394.87px/s]
[✅] LUT written to: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'STLC-083WF_W028(6)_2026-02-04' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/STLC-083WF_W028(6)_2026-02-04/calibration/STLC-083WF_W028(6)_2026-02-04_unknown.lut

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

[ℹ️] Detected device type: SMD_P3D (rigs: [1000, 1500, 2000]mm)
📁 Rigs (heatmap):   0%|          | 0/4 [00:00<?, ?rig/s]
   🔥 2000R:   0%|          | 0/593 [00:00<?, ?frame/s][A
   🔥 2000R:   2%|▏         | 9/593 [00:00<00:07, 80.62frame/s][A
   🔥 2000R:   3%|▎         | 18/593 [00:00<00:06, 85.62frame/s][A
   🔥 2000R:   5%|▍         | 28/593 [00:00<00:06, 87.92frame/s][A
   🔥 2000R:   6%|▋         | 38/593 [00:00<00:06, 90.13frame/s][A
   🔥 2000R:   8%|▊         | 48/593 [00:00<00:05, 91.68frame/s][A
   🔥 2000R:  10%|▉         | 58/593 [00:00<00:05, 93.21frame/s][A
   🔥 2000R:  11%|█▏        | 68/593 [00:00<00:05, 93.10frame/s][A
   🔥 2000R:  13%|█▎        | 78/593 [00:00<00:05, 92.20frame/s][A
   🔥 2000R:  15%|█▍        | 88/593 [00:00<00:05, 90.81frame/s][A
   🔥 2000R:  17%|█▋        | 98/593 [00:01<00:05, 91.96frame/s][A
   🔥 2000R:  18%|█▊        | 108/593 [00:01<00:05, 93.18frame/s][A
   🔥 2000R:  20%|█▉        | 118/593 [00:01<00:05, 94.13frame/s][A
   🔥 2000R:  22%|██▏       | 128/593 [00:01<00:04, 93.51frame/s][A
   🔥 2000R:  23%|██▎       | 138/593 [00:01<00:04, 92.71frame/s][A
   🔥 2000R:  25%|██▍       | 148/593 [00:01<00:04, 92.16frame/s][A
   🔥 2000R:  27%|██▋       | 158/593 [00:01<00:04, 92.75frame/s][A
   🔥 2000R:  28%|██▊       | 168/593 [00:01<00:04, 94.80frame/s][A
   🔥 2000R:  30%|███       | 178/593 [00:01<00:04, 94.53frame/s][A
   🔥 2000R:  32%|███▏      | 188/593 [00:02<00:04, 93.62frame/s][A
   🔥 2000R:  33%|███▎      | 198/593 [00:02<00:04, 92.55frame/s][A
   🔥 2000R:  35%|███▌      | 208/593 [00:02<00:04, 92.57frame/s][A
   🔥 2000R:  37%|███▋      | 218/593 [00:02<00:04, 92.03frame/s][A
   🔥 2000R:  38%|███▊      | 228/593 [00:02<00:04, 90.38frame/s][A
   🔥 2000R:  40%|████      | 238/593 [00:02<00:03, 89.54frame/s][A
   🔥 2000R:  42%|████▏     | 248/593 [00:02<00:03, 90.27frame/s][A
   🔥 2000R:  44%|████▎     | 258/593 [00:02<00:03, 91.48frame/s][A
   🔥 2000R:  45%|████▌     | 268/593 [00:02<00:03, 89.96frame/s][A
   🔥 2000R:  47%|████▋     | 278/593 [00:03<00:03, 89.84frame/s][A
   🔥 2000R:  49%|████▊     | 288/593 [00:03<00:03, 91.57frame/s][A
   🔥 2000R:  50%|█████     | 298/593 [00:03<00:03, 92.77frame/s][A
   🔥 2000R:  52%|█████▏    | 308/593 [00:03<00:03, 93.41frame/s][A
   🔥 2000R:  54%|█████▎    | 318/593 [00:03<00:02, 92.10frame/s][A
   🔥 2000R:  55%|█████▌    | 328/593 [00:03<00:02, 91.37frame/s][A
   🔥 2000R:  57%|█████▋    | 338/593 [00:03<00:02, 90.55frame/s][A
   🔥 2000R:  59%|█████▊    | 348/593 [00:03<00:02, 89.85frame/s][A
   🔥 2000R:  60%|██████    | 358/593 [00:03<00:02, 90.99frame/s][A
   🔥 2000R:  62%|██████▏   | 368/593 [00:04<00:02, 92.13frame/s][A
   🔥 2000R:  64%|██████▎   | 378/593 [00:04<00:02, 90.98frame/s][A
   🔥 2000R:  65%|██████▌   | 388/593 [00:04<00:02, 89.78frame/s][A
   🔥 2000R:  67%|██████▋   | 399/593 [00:04<00:02, 93.97frame/s][A
   🔥 2000R:  69%|██████▉   | 410/593 [00:04<00:01, 97.22frame/s][A
   🔥 2000R:  71%|███████   | 421/593 [00:04<00:01, 98.70frame/s][A
   🔥 2000R:  73%|███████▎  | 432/593 [00:04<00:01, 99.99frame/s][A
   🔥 2000R:  75%|███████▍  | 444/593 [00:04<00:01, 103.67frame/s][A
   🔥 2000R:  77%|███████▋  | 455/593 [00:04<00:01, 104.91frame/s][A
   🔥 2000R:  79%|███████▊  | 466/593 [00:04<00:01, 104.35frame/s][A
   🔥 2000R:  80%|████████  | 477/593 [00:05<00:01, 104.51frame/s][A
   🔥 2000R:  82%|████████▏ | 488/593 [00:05<00:01, 103.64frame/s][A
   🔥 2000R:  84%|████████▍ | 499/593 [00:05<00:00, 103.66frame/s][A
   🔥 2000R:  86%|████████▌ | 510/593 [00:05<00:00, 105.06frame/s][A
   🔥 2000R:  88%|████████▊ | 521/593 [00:05<00:00, 106.25frame/s][A
   🔥 2000R:  90%|████████▉ | 532/593 [00:05<00:00, 107.02frame/s][A
   🔥 2000R:  92%|█████████▏| 543/593 [00:05<00:00, 105.08frame/s][A
   🔥 2000R:  93%|█████████▎| 554/593 [00:05<00:00, 103.10frame/s][A
   🔥 2000R:  95%|█████████▌| 565/593 [00:05<00:00, 101.07frame/s][A
   🔥 2000R:  97%|█████████▋| 576/593 [00:06<00:00, 98.14frame/s] [A
   🔥 2000R:  99%|█████████▉| 586/593 [00:06<00:00, 96.50frame/s][A
                                                                 [A[✅] 2000R: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/2000R_heatmap_fitted.png
📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:08<00:24,  8.07s/rig]
   🔥 1000:   0%|          | 0/199 [00:00<?, ?frame/s][A
   🔥 1000:   5%|▍         | 9/199 [00:00<00:02, 87.92frame/s][A
   🔥 1000:  10%|▉         | 19/199 [00:00<00:01, 91.40frame/s][A
   🔥 1000:  15%|█▍        | 29/199 [00:00<00:01, 92.63frame/s][A
   🔥 1000:  20%|█▉        | 39/199 [00:00<00:01, 93.15frame/s][A
   🔥 1000:  25%|██▍       | 49/199 [00:00<00:01, 92.34frame/s][A
   🔥 1000:  30%|██▉       | 59/199 [00:00<00:01, 93.20frame/s][A
   🔥 1000:  35%|███▍      | 69/199 [00:00<00:01, 94.39frame/s][A
   🔥 1000:  40%|███▉      | 79/199 [00:00<00:01, 94.45frame/s][A
   🔥 1000:  45%|████▍     | 89/199 [00:00<00:01, 94.70frame/s][A
   🔥 1000:  50%|████▉     | 99/199 [00:01<00:01, 94.98frame/s][A
   🔥 1000:  55%|█████▍    | 109/199 [00:01<00:00, 93.93frame/s][A
   🔥 1000:  60%|█████▉    | 119/199 [00:01<00:00, 92.49frame/s][A
   🔥 1000:  65%|██████▍   | 129/199 [00:01<00:00, 89.55frame/s][A
   🔥 1000:  69%|██████▉   | 138/199 [00:01<00:00, 88.92frame/s][A
   🔥 1000:  74%|███████▍  | 147/199 [00:01<00:00, 88.40frame/s][A
   🔥 1000:  78%|███████▊  | 156/199 [00:01<00:00, 88.13frame/s][A
   🔥 1000:  83%|████████▎ | 166/199 [00:01<00:00, 90.56frame/s][A
   🔥 1000:  88%|████████▊ | 176/199 [00:01<00:00, 90.83frame/s][A
   🔥 1000:  93%|█████████▎| 186/199 [00:02<00:00, 91.68frame/s][A
   🔥 1000:  98%|█████████▊| 196/199 [00:02<00:00, 91.53frame/s][A
                                                                [A[✅] 1000: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/1000_heatmap_fitted.png
📁 Rigs (heatmap):  50%|█████     | 2/4 [00:10<00:10,  5.02s/rig]
   🔥 2000L:   0%|          | 0/369 [00:00<?, ?frame/s][A
   🔥 2000L:   2%|▏         | 8/369 [00:00<00:04, 76.40frame/s][A
   🔥 2000L:   5%|▍         | 17/369 [00:00<00:04, 79.34frame/s][A
   🔥 2000L:   7%|▋         | 26/369 [00:00<00:04, 81.30frame/s][A
   🔥 2000L:   9%|▉         | 35/369 [00:00<00:04, 82.72frame/s][A
   🔥 2000L:  12%|█▏        | 44/369 [00:00<00:03, 83.82frame/s][A
   🔥 2000L:  14%|█▍        | 53/369 [00:00<00:03, 85.69frame/s][A
   🔥 2000L:  17%|█▋        | 62/369 [00:00<00:03, 86.85frame/s][A
   🔥 2000L:  19%|█▉        | 71/369 [00:00<00:03, 87.48frame/s][A
   🔥 2000L:  22%|██▏       | 80/369 [00:00<00:03, 87.80frame/s][A
   🔥 2000L:  24%|██▍       | 90/369 [00:01<00:03, 89.33frame/s][A
   🔥 2000L:  27%|██▋       | 99/369 [00:01<00:03, 89.28frame/s][A
   🔥 2000L:  29%|██▉       | 108/369 [00:01<00:02, 87.91frame/s][A
   🔥 2000L:  32%|███▏      | 117/369 [00:01<00:02, 86.06frame/s][A
   🔥 2000L:  34%|███▍      | 126/369 [00:01<00:02, 84.86frame/s][A
   🔥 2000L:  37%|███▋      | 135/369 [00:01<00:02, 84.77frame/s][A
   🔥 2000L:  39%|███▉      | 144/369 [00:01<00:02, 84.50frame/s][A
   🔥 2000L:  41%|████▏     | 153/369 [00:01<00:02, 85.83frame/s][A
   🔥 2000L:  44%|████▍     | 163/369 [00:01<00:02, 87.40frame/s][A
   🔥 2000L:  47%|████▋     | 173/369 [00:02<00:02, 88.34frame/s][A
   🔥 2000L:  50%|████▉     | 184/369 [00:02<00:02, 91.69frame/s][A
   🔥 2000L:  53%|█████▎    | 194/369 [00:02<00:01, 91.31frame/s][A
   🔥 2000L:  55%|█████▌    | 204/369 [00:02<00:01, 91.36frame/s][A
   🔥 2000L:  58%|█████▊    | 214/369 [00:02<00:01, 93.30frame/s][A
   🔥 2000L:  61%|██████    | 224/369 [00:02<00:01, 94.62frame/s][A
   🔥 2000L:  63%|██████▎   | 234/369 [00:02<00:01, 94.85frame/s][A
   🔥 2000L:  66%|██████▌   | 244/369 [00:02<00:01, 95.46frame/s][A
   🔥 2000L:  69%|██████▉   | 254/369 [00:02<00:01, 94.75frame/s][A
   🔥 2000L:  72%|███████▏  | 264/369 [00:02<00:01, 94.16frame/s][A
   🔥 2000L:  74%|███████▍  | 274/369 [00:03<00:01, 93.47frame/s][A
   🔥 2000L:  77%|███████▋  | 284/369 [00:03<00:00, 94.67frame/s][A
   🔥 2000L:  80%|███████▉  | 294/369 [00:03<00:00, 93.89frame/s][A
   🔥 2000L:  83%|████████▎ | 305/369 [00:03<00:00, 95.93frame/s][A
   🔥 2000L:  85%|████████▌ | 315/369 [00:03<00:00, 95.20frame/s][A
   🔥 2000L:  88%|████████▊ | 325/369 [00:03<00:00, 93.69frame/s][A
   🔥 2000L:  91%|█████████ | 335/369 [00:03<00:00, 91.76frame/s][A
   🔥 2000L:  93%|█████████▎| 345/369 [00:03<00:00, 89.87frame/s][A
   🔥 2000L:  96%|█████████▌| 355/369 [00:03<00:00, 87.07frame/s][A
   🔥 2000L:  99%|█████████▊| 364/369 [00:04<00:00, 85.69frame/s][A
                                                                 [A[✅] 2000L: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/2000L_heatmap_fitted.png
📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:16<00:05,  5.45s/rig]
   🔥 1500:   0%|          | 0/334 [00:00<?, ?frame/s][A
   🔥 1500:   3%|▎         | 9/334 [00:00<00:03, 82.07frame/s][A
   🔥 1500:   5%|▌         | 18/334 [00:00<00:03, 85.68frame/s][A
   🔥 1500:   8%|▊         | 27/334 [00:00<00:03, 87.19frame/s][A
   🔥 1500:  11%|█         | 36/334 [00:00<00:03, 87.76frame/s][A
   🔥 1500:  14%|█▍        | 46/334 [00:00<00:03, 89.54frame/s][A
   🔥 1500:  17%|█▋        | 56/334 [00:00<00:03, 91.26frame/s][A
   🔥 1500:  20%|█▉        | 66/334 [00:00<00:03, 89.27frame/s][A
   🔥 1500:  22%|██▏       | 75/334 [00:00<00:02, 86.49frame/s][A
   🔥 1500:  25%|██▌       | 84/334 [00:00<00:02, 84.99frame/s][A
   🔥 1500:  28%|██▊       | 93/334 [00:01<00:02, 84.52frame/s][A
   🔥 1500:  31%|███       | 102/334 [00:01<00:02, 84.00frame/s][A
   🔥 1500:  33%|███▎      | 111/334 [00:01<00:02, 82.72frame/s][A
   🔥 1500:  36%|███▌      | 120/334 [00:01<00:02, 81.81frame/s][A
   🔥 1500:  39%|███▊      | 129/334 [00:01<00:02, 81.21frame/s][A
   🔥 1500:  41%|████▏     | 138/334 [00:01<00:02, 80.50frame/s][A
   🔥 1500:  44%|████▍     | 147/334 [00:01<00:02, 80.31frame/s][A
   🔥 1500:  47%|████▋     | 156/334 [00:01<00:02, 80.77frame/s][A
   🔥 1500:  50%|████▉     | 166/334 [00:01<00:01, 84.15frame/s][A
   🔥 1500:  53%|█████▎    | 176/334 [00:02<00:01, 86.52frame/s][A
   🔥 1500:  56%|█████▌    | 186/334 [00:02<00:01, 88.49frame/s][A
   🔥 1500:  59%|█████▊    | 196/334 [00:02<00:01, 90.01frame/s][A
   🔥 1500:  62%|██████▏   | 206/334 [00:02<00:01, 91.62frame/s][A
   🔥 1500:  65%|██████▍   | 216/334 [00:02<00:01, 90.17frame/s][A
   🔥 1500:  68%|██████▊   | 226/334 [00:02<00:01, 88.44frame/s][A
   🔥 1500:  70%|███████   | 235/334 [00:02<00:01, 87.19frame/s][A
   🔥 1500:  73%|███████▎  | 244/334 [00:02<00:01, 85.84frame/s][A
   🔥 1500:  76%|███████▌  | 253/334 [00:02<00:00, 85.66frame/s][A
   🔥 1500:  78%|███████▊  | 262/334 [00:03<00:00, 85.82frame/s][A
   🔥 1500:  81%|████████  | 271/334 [00:03<00:00, 86.51frame/s][A
   🔥 1500:  84%|████████▍ | 281/334 [00:03<00:00, 88.09frame/s][A
   🔥 1500:  87%|████████▋ | 291/334 [00:03<00:00, 90.09frame/s][A
   🔥 1500:  90%|█████████ | 301/334 [00:03<00:00, 90.57frame/s][A
   🔥 1500:  93%|█████████▎| 311/334 [00:03<00:00, 90.71frame/s][A
   🔥 1500:  96%|█████████▌| 321/334 [00:03<00:00, 90.63frame/s][A
   🔥 1500:  99%|█████████▉| 331/334 [00:03<00:00, 89.97frame/s][A
                                                                [A[✅] 1500: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap/1500_heatmap_fitted.png
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:22<00:00,  5.38s/rig]📁 Rigs (heatmap): 100%|██████████| 4/4 [00:22<00:00,  5.55s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/STLC-083WF_W028(6)_2026-02-04/calibration/debug/5_heatmap
[🏁] Finished processing STLC-083WF_W028(6)_2026-02-04


================================================================================================================================
================================================================================================================================