2026-06-10T23:27:09 - INFO: Slick 0.0.8a12

🟢 Starting Calibration Pipeline

=== Processing MDC024_W098(6)_2026_05_29 ===
2026-06-10T23:27:09 - INFO: Camera ID: 6396144
2026-06-10T23:27:09 - INFO: Wand ID: 
2026-06-10T23:27:09 - INFO: Recorded At: 2026-05-29T13:22:57Z

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

Processing Rigs:   0%|          | 0/4 [00:00<?, ?it/s][INFO] Filtered 948 stationary frames, 361 remain


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→ 2000L Phase 2: corners:  75%|███████▍  | 269/361 [00:02<00:00, 151.66it/s]

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→ 2000L Phase 2: corners:  83%|████████▎ | 301/361 [00:02<00:00, 150.52it/s]

→ 2000L Phase 2: corners:  89%|████████▉ | 322/361 [00:02<00:00, 159.29it/s]

                                                                            [PASS2] Frame 0000875: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000879: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000881: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000882: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000886: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000887: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000888: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000893: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000896: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000901: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000902: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001014: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001017: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001019: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001020: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001021: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001022: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001033: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001070: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001071: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001074: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001077: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001107: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001110: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001113: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001116: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001260: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001261: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001262: fixed corners {2, 3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001264: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001265: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001266: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0001267: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001278: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001320: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001321: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001322: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001323: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001333: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001334: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0001335: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0001336: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000875: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000882: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000883: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000886: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000887: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000888: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001017: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001019: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001021: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001022: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001074: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001113: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001262: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001263: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001264: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001266: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0001322: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0001335: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000875: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000882: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000887: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000888: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001017: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001019: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0001022: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Summary: 25 frames fixed, 21 untrusted, 361 total


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→ 2000L Phase 3: finalize:  96%|█████████▌| 346/361 [00:06<00:00, 54.72it/s]

→ 2000L Phase 3: finalize:  98%|█████████▊| 352/361 [00:06<00:00, 54.58it/s]

→ 2000L Phase 3: finalize:  99%|█████████▉| 358/361 [00:06<00:00, 54.40it/s]

                                                                            
[TIMING] 2000L — 361 frames
  Phase 1  radial detect   (parallel)  :   5.40s  (15.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.53s  (7.0 ms/frame)
  Phase 2b corner fix      (sequential):   1.09s
  Phase 3  finalize        (sequential):   6.62s  (18.3 ms/frame)
    decode + undistort                 :   3.45s  (9.6 ms/frame)
    corner apply + refinement          :   1.44s  (4.0 ms/frame)
    segment                            :   1.42s  (3.9 ms/frame)
    smooth                             :   0.20s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  15.64s


Processing Rigs:  25%|██▌       | 1/4 [00:21<01:04, 21.56s/it][INFO] Filtered 1051 stationary frames, 617 remain


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→ 1500 (617 images) Phase 1:  95%|█████████▍| 585/617 [00:08<00:00, 68.88it/s]

→ 1500 (617 images) Phase 1:  99%|█████████▊| 609/617 [00:08<00:00, 86.26it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/617 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/617 [00:00<02:08,  4.80it/s]

→ 1500 Phase 2: corners:   1%|          | 6/617 [00:00<00:26, 23.14it/s]

→ 1500 Phase 2: corners:   3%|▎         | 21/617 [00:00<00:08, 67.60it/s]

→ 1500 Phase 2: corners:   5%|▌         | 33/617 [00:00<00:06, 84.22it/s]

→ 1500 Phase 2: corners:   7%|▋         | 45/617 [00:00<00:06, 92.45it/s]

→ 1500 Phase 2: corners:  10%|█         | 62/617 [00:00<00:04, 114.10it/s]

→ 1500 Phase 2: corners:  12%|█▏        | 76/617 [00:00<00:04, 117.79it/s]

→ 1500 Phase 2: corners:  16%|█▌        | 96/617 [00:00<00:03, 139.32it/s]

→ 1500 Phase 2: corners:  18%|█▊        | 111/617 [00:01<00:03, 136.77it/s]

→ 1500 Phase 2: corners:  20%|██        | 125/617 [00:01<00:03, 126.89it/s]

→ 1500 Phase 2: corners:  22%|██▏       | 138/617 [00:01<00:03, 119.93it/s]

→ 1500 Phase 2: corners:  24%|██▍       | 151/617 [00:01<00:03, 119.85it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 169/617 [00:01<00:03, 134.62it/s]

→ 1500 Phase 2: corners:  30%|███       | 186/617 [00:01<00:03, 141.58it/s]

→ 1500 Phase 2: corners:  34%|███▎      | 207/617 [00:01<00:02, 159.93it/s]

→ 1500 Phase 2: corners:  36%|███▋      | 225/617 [00:01<00:02, 164.64it/s]

→ 1500 Phase 2: corners:  40%|████      | 247/617 [00:01<00:02, 179.36it/s]

→ 1500 Phase 2: corners:  43%|████▎     | 266/617 [00:02<00:01, 180.62it/s]

→ 1500 Phase 2: corners:  47%|████▋     | 287/617 [00:02<00:01, 184.52it/s]

→ 1500 Phase 2: corners:  50%|████▉     | 308/617 [00:02<00:01, 190.40it/s]

→ 1500 Phase 2: corners:  53%|█████▎    | 328/617 [00:02<00:01, 189.71it/s]

→ 1500 Phase 2: corners:  56%|█████▋    | 348/617 [00:02<00:01, 190.46it/s]

→ 1500 Phase 2: corners:  60%|█████▉    | 368/617 [00:02<00:01, 185.69it/s]

→ 1500 Phase 2: corners:  63%|██████▎   | 387/617 [00:02<00:01, 178.60it/s]

→ 1500 Phase 2: corners:  66%|██████▌   | 405/617 [00:02<00:01, 177.74it/s]

→ 1500 Phase 2: corners:  69%|██████▊   | 423/617 [00:02<00:01, 171.87it/s]

→ 1500 Phase 2: corners:  72%|███████▏  | 442/617 [00:03<00:00, 175.99it/s]

→ 1500 Phase 2: corners:  75%|███████▌  | 463/617 [00:03<00:00, 181.16it/s]

→ 1500 Phase 2: corners:  78%|███████▊  | 483/617 [00:03<00:00, 183.88it/s]

→ 1500 Phase 2: corners:  82%|████████▏ | 504/617 [00:03<00:00, 189.75it/s]

→ 1500 Phase 2: corners:  85%|████████▍ | 524/617 [00:03<00:00, 191.03it/s]

→ 1500 Phase 2: corners:  88%|████████▊ | 544/617 [00:03<00:00, 190.22it/s]

→ 1500 Phase 2: corners:  91%|█████████▏| 564/617 [00:03<00:00, 183.93it/s]

→ 1500 Phase 2: corners:  94%|█████████▍| 583/617 [00:03<00:00, 147.01it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 617 total


→ 1500 Phase 3: finalize:   0%|          | 0/617 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   1%|          | 7/617 [00:00<00:08, 69.85it/s]

→ 1500 Phase 3: finalize:   2%|▏         | 14/617 [00:00<00:08, 68.90it/s]

→ 1500 Phase 3: finalize:   3%|▎         | 21/617 [00:00<00:08, 68.48it/s]

→ 1500 Phase 3: finalize:   5%|▍         | 28/617 [00:00<00:08, 68.44it/s]

→ 1500 Phase 3: finalize:   6%|▌         | 35/617 [00:00<00:08, 68.45it/s]

→ 1500 Phase 3: finalize:   7%|▋         | 42/617 [00:00<00:08, 68.67it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 49/617 [00:00<00:08, 65.52it/s]

→ 1500 Phase 3: finalize:   9%|▉         | 56/617 [00:00<00:09, 61.83it/s]

→ 1500 Phase 3: finalize:  10%|█         | 63/617 [00:00<00:09, 59.70it/s]

→ 1500 Phase 3: finalize:  11%|█▏        | 70/617 [00:01<00:09, 58.43it/s]

→ 1500 Phase 3: finalize:  12%|█▏        | 76/617 [00:01<00:09, 57.62it/s]

→ 1500 Phase 3: finalize:  13%|█▎        | 82/617 [00:01<00:09, 57.03it/s]

→ 1500 Phase 3: finalize:  14%|█▍        | 88/617 [00:01<00:09, 56.45it/s]

→ 1500 Phase 3: finalize:  15%|█▌        | 94/617 [00:01<00:09, 56.04it/s]

→ 1500 Phase 3: finalize:  16%|█▌        | 100/617 [00:01<00:09, 55.69it/s]

→ 1500 Phase 3: finalize:  17%|█▋        | 106/617 [00:01<00:09, 55.43it/s]

→ 1500 Phase 3: finalize:  18%|█▊        | 112/617 [00:01<00:09, 55.36it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 118/617 [00:01<00:09, 55.23it/s]

→ 1500 Phase 3: finalize:  20%|██        | 124/617 [00:02<00:08, 55.14it/s]

→ 1500 Phase 3: finalize:  21%|██        | 130/617 [00:02<00:08, 55.14it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 136/617 [00:02<00:08, 54.94it/s]

→ 1500 Phase 3: finalize:  23%|██▎       | 142/617 [00:02<00:08, 54.75it/s]

→ 1500 Phase 3: finalize:  24%|██▍       | 148/617 [00:02<00:08, 54.43it/s]

→ 1500 Phase 3: finalize:  25%|██▍       | 154/617 [00:02<00:08, 54.38it/s]

→ 1500 Phase 3: finalize:  26%|██▌       | 160/617 [00:02<00:08, 54.45it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 166/617 [00:02<00:08, 54.43it/s]

→ 1500 Phase 3: finalize:  28%|██▊       | 172/617 [00:02<00:08, 54.38it/s]

→ 1500 Phase 3: finalize:  29%|██▉       | 178/617 [00:03<00:08, 54.21it/s]

→ 1500 Phase 3: finalize:  30%|██▉       | 184/617 [00:03<00:08, 54.01it/s]

→ 1500 Phase 3: finalize:  31%|███       | 190/617 [00:03<00:07, 53.73it/s]

→ 1500 Phase 3: finalize:  32%|███▏      | 196/617 [00:03<00:07, 53.61it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 202/617 [00:03<00:07, 53.73it/s]

→ 1500 Phase 3: finalize:  34%|███▎      | 208/617 [00:03<00:07, 53.74it/s]

→ 1500 Phase 3: finalize:  35%|███▍      | 214/617 [00:03<00:07, 53.91it/s]

→ 1500 Phase 3: finalize:  36%|███▌      | 220/617 [00:03<00:07, 54.01it/s]

→ 1500 Phase 3: finalize:  37%|███▋      | 226/617 [00:03<00:07, 54.12it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 232/617 [00:04<00:07, 54.13it/s]

→ 1500 Phase 3: finalize:  39%|███▊      | 238/617 [00:04<00:06, 54.19it/s]

→ 1500 Phase 3: finalize:  40%|███▉      | 244/617 [00:04<00:06, 54.23it/s]

→ 1500 Phase 3: finalize:  41%|████      | 250/617 [00:04<00:06, 54.25it/s]

→ 1500 Phase 3: finalize:  41%|████▏     | 256/617 [00:04<00:06, 54.19it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 262/617 [00:04<00:06, 54.17it/s]

→ 1500 Phase 3: finalize:  43%|████▎     | 268/617 [00:04<00:06, 54.22it/s]

→ 1500 Phase 3: finalize:  44%|████▍     | 274/617 [00:04<00:06, 54.27it/s]

→ 1500 Phase 3: finalize:  45%|████▌     | 280/617 [00:04<00:06, 54.17it/s]

→ 1500 Phase 3: finalize:  46%|████▋     | 286/617 [00:05<00:06, 54.12it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 292/617 [00:05<00:06, 53.94it/s]

→ 1500 Phase 3: finalize:  48%|████▊     | 298/617 [00:05<00:05, 53.96it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 304/617 [00:05<00:05, 53.92it/s]

→ 1500 Phase 3: finalize:  50%|█████     | 310/617 [00:05<00:05, 53.91it/s]

→ 1500 Phase 3: finalize:  51%|█████     | 316/617 [00:05<00:05, 53.82it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 322/617 [00:05<00:05, 53.89it/s]

→ 1500 Phase 3: finalize:  53%|█████▎    | 328/617 [00:05<00:05, 53.63it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 334/617 [00:05<00:05, 53.71it/s]

→ 1500 Phase 3: finalize:  55%|█████▌    | 340/617 [00:06<00:05, 53.72it/s]

→ 1500 Phase 3: finalize:  56%|█████▌    | 346/617 [00:06<00:05, 53.67it/s]

→ 1500 Phase 3: finalize:  57%|█████▋    | 352/617 [00:06<00:04, 53.76it/s]

→ 1500 Phase 3: finalize:  58%|█████▊    | 358/617 [00:06<00:04, 53.57it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 364/617 [00:06<00:04, 53.60it/s]

→ 1500 Phase 3: finalize:  60%|█████▉    | 370/617 [00:06<00:04, 53.59it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 376/617 [00:06<00:04, 53.55it/s]

→ 1500 Phase 3: finalize:  62%|██████▏   | 382/617 [00:06<00:04, 53.49it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 388/617 [00:06<00:04, 53.40it/s]

→ 1500 Phase 3: finalize:  64%|██████▍   | 394/617 [00:07<00:04, 53.18it/s]

→ 1500 Phase 3: finalize:  65%|██████▍   | 400/617 [00:07<00:04, 53.19it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 406/617 [00:07<00:03, 53.40it/s]

→ 1500 Phase 3: finalize:  67%|██████▋   | 412/617 [00:07<00:03, 53.58it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 418/617 [00:07<00:03, 53.67it/s]

→ 1500 Phase 3: finalize:  69%|██████▊   | 424/617 [00:07<00:03, 53.77it/s]

→ 1500 Phase 3: finalize:  70%|██████▉   | 430/617 [00:07<00:03, 53.94it/s]

→ 1500 Phase 3: finalize:  71%|███████   | 436/617 [00:07<00:03, 54.10it/s]

→ 1500 Phase 3: finalize:  72%|███████▏  | 442/617 [00:07<00:03, 54.32it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 448/617 [00:08<00:03, 54.39it/s]

→ 1500 Phase 3: finalize:  74%|███████▎  | 454/617 [00:08<00:02, 54.57it/s]

→ 1500 Phase 3: finalize:  75%|███████▍  | 460/617 [00:08<00:02, 54.71it/s]

→ 1500 Phase 3: finalize:  76%|███████▌  | 466/617 [00:08<00:02, 54.71it/s]

→ 1500 Phase 3: finalize:  76%|███████▋  | 472/617 [00:08<00:02, 54.75it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 478/617 [00:08<00:02, 54.84it/s]

→ 1500 Phase 3: finalize:  78%|███████▊  | 484/617 [00:08<00:02, 54.94it/s]

→ 1500 Phase 3: finalize:  79%|███████▉  | 490/617 [00:08<00:02, 55.13it/s]

→ 1500 Phase 3: finalize:  80%|████████  | 496/617 [00:08<00:02, 55.17it/s]

→ 1500 Phase 3: finalize:  81%|████████▏ | 502/617 [00:09<00:02, 55.12it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 508/617 [00:09<00:01, 55.08it/s]

→ 1500 Phase 3: finalize:  83%|████████▎ | 514/617 [00:09<00:01, 55.21it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 520/617 [00:09<00:01, 55.16it/s]

→ 1500 Phase 3: finalize:  85%|████████▌ | 526/617 [00:09<00:01, 55.16it/s]

→ 1500 Phase 3: finalize:  86%|████████▌ | 532/617 [00:09<00:01, 55.19it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 538/617 [00:09<00:01, 55.19it/s]

→ 1500 Phase 3: finalize:  88%|████████▊ | 544/617 [00:09<00:01, 55.14it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 550/617 [00:09<00:01, 55.19it/s]

→ 1500 Phase 3: finalize:  90%|█████████ | 556/617 [00:10<00:01, 55.39it/s]

→ 1500 Phase 3: finalize:  91%|█████████ | 562/617 [00:10<00:00, 55.45it/s]

→ 1500 Phase 3: finalize:  92%|█████████▏| 568/617 [00:10<00:00, 55.46it/s]

→ 1500 Phase 3: finalize:  93%|█████████▎| 574/617 [00:10<00:00, 55.51it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 580/617 [00:10<00:00, 55.37it/s]

→ 1500 Phase 3: finalize:  95%|█████████▍| 586/617 [00:10<00:00, 55.34it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 592/617 [00:10<00:00, 55.23it/s]

→ 1500 Phase 3: finalize:  97%|█████████▋| 598/617 [00:10<00:00, 55.12it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 604/617 [00:10<00:00, 54.99it/s]

→ 1500 Phase 3: finalize:  99%|█████████▉| 610/617 [00:11<00:00, 54.91it/s]

→ 1500 Phase 3: finalize: 100%|█████████▉| 616/617 [00:11<00:00, 54.94it/s]

                                                                           
[TIMING] 1500 — 617 frames
  Phase 1  radial detect   (parallel)  :   8.99s  (14.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.98s  (6.4 ms/frame)
  Phase 2b corner fix      (sequential):   0.13s
  Phase 3  finalize        (sequential):  11.16s  (18.1 ms/frame)
    decode + undistort                 :   5.99s  (9.7 ms/frame)
    corner apply + refinement          :   2.23s  (3.6 ms/frame)
    segment                            :   2.41s  (3.9 ms/frame)
    smooth                             :   0.33s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  24.25s


Processing Rigs:  50%|█████     | 2/4 [00:51<00:52, 26.42s/it][INFO] Filtered 917 stationary frames, 355 remain


→ 2000R (355 images) Phase 1:   0%|          | 0/355 [00:00<?, ?it/s]

→ 2000R (355 images) Phase 1:   0%|          | 1/355 [00:00<03:38,  1.62it/s]

→ 2000R (355 images) Phase 1:   7%|▋         | 26/355 [00:00<00:06, 47.86it/s]

→ 2000R (355 images) Phase 1:  12%|█▏        | 41/355 [00:01<00:07, 42.74it/s]

→ 2000R (355 images) Phase 1:  18%|█▊        | 65/355 [00:01<00:05, 55.76it/s]

→ 2000R (355 images) Phase 1:  21%|██        | 74/355 [00:01<00:04, 57.62it/s]

→ 2000R (355 images) Phase 1:  27%|██▋       | 97/355 [00:01<00:03, 66.24it/s]

→ 2000R (355 images) Phase 1:  30%|██▉       | 106/355 [00:01<00:03, 65.64it/s]

→ 2000R (355 images) Phase 1:  35%|███▌      | 126/355 [00:02<00:02, 87.75it/s]

→ 2000R (355 images) Phase 1:  39%|███▉      | 138/355 [00:02<00:03, 65.53it/s]

→ 2000R (355 images) Phase 1:  45%|████▍     | 158/355 [00:02<00:02, 86.73it/s]

→ 2000R (355 images) Phase 1:  48%|████▊     | 171/355 [00:02<00:02, 65.62it/s]

→ 2000R (355 images) Phase 1:  53%|█████▎    | 189/355 [00:02<00:01, 83.28it/s]

→ 2000R (355 images) Phase 1:  57%|█████▋    | 202/355 [00:03<00:02, 64.71it/s]

→ 2000R (355 images) Phase 1:  62%|██████▏   | 220/355 [00:03<00:01, 82.44it/s]

→ 2000R (355 images) Phase 1:  66%|██████▌   | 233/355 [00:03<00:01, 64.99it/s]

→ 2000R (355 images) Phase 1:  71%|███████   | 251/355 [00:03<00:01, 81.09it/s]

→ 2000R (355 images) Phase 1:  74%|███████▍  | 263/355 [00:04<00:01, 63.45it/s]

→ 2000R (355 images) Phase 1:  80%|████████  | 284/355 [00:04<00:00, 84.26it/s]

→ 2000R (355 images) Phase 1:  83%|████████▎ | 296/355 [00:04<00:00, 65.07it/s]

→ 2000R (355 images) Phase 1:  89%|████████▉ | 316/355 [00:04<00:00, 84.68it/s]

→ 2000R (355 images) Phase 1:  93%|█████████▎| 329/355 [00:05<00:00, 66.31it/s]

→ 2000R (355 images) Phase 1:  99%|█████████▉| 353/355 [00:05<00:00, 84.58it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/355 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/355 [00:00<01:32,  3.83it/s]

→ 2000R Phase 2: corners:   2%|▏         | 8/355 [00:00<00:12, 27.14it/s]

→ 2000R Phase 2: corners:   6%|▌         | 21/355 [00:00<00:05, 58.75it/s]

→ 2000R Phase 2: corners:   9%|▉         | 33/355 [00:00<00:04, 77.82it/s]

→ 2000R Phase 2: corners:  13%|█▎        | 46/355 [00:00<00:03, 90.02it/s]

→ 2000R Phase 2: corners:  17%|█▋        | 62/355 [00:00<00:02, 108.20it/s]

→ 2000R Phase 2: corners:  22%|██▏       | 77/355 [00:00<00:02, 115.73it/s]

→ 2000R Phase 2: corners:  26%|██▌       | 91/355 [00:01<00:02, 119.17it/s]

→ 2000R Phase 2: corners:  30%|██▉       | 105/355 [00:01<00:02, 123.66it/s]

→ 2000R Phase 2: corners:  33%|███▎      | 118/355 [00:01<00:01, 122.23it/s]

→ 2000R Phase 2: corners:  37%|███▋      | 131/355 [00:01<00:01, 116.90it/s]

→ 2000R Phase 2: corners:  41%|████      | 144/355 [00:01<00:01, 120.17it/s]

→ 2000R Phase 2: corners:  44%|████▍     | 157/355 [00:01<00:01, 120.89it/s]

→ 2000R Phase 2: corners:  48%|████▊     | 171/355 [00:01<00:01, 123.93it/s]

→ 2000R Phase 2: corners:  53%|█████▎    | 189/355 [00:01<00:01, 137.79it/s]

→ 2000R Phase 2: corners:  58%|█████▊    | 207/355 [00:01<00:00, 148.24it/s]

→ 2000R Phase 2: corners:  63%|██████▎   | 225/355 [00:01<00:00, 153.34it/s]

→ 2000R Phase 2: corners:  68%|██████▊   | 241/355 [00:02<00:00, 154.96it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 257/355 [00:02<00:00, 154.90it/s]

→ 2000R Phase 2: corners:  77%|███████▋  | 274/355 [00:02<00:00, 158.86it/s]

→ 2000R Phase 2: corners:  82%|████████▏ | 292/355 [00:02<00:00, 163.14it/s]

→ 2000R Phase 2: corners:  87%|████████▋ | 310/355 [00:02<00:00, 166.51it/s]

→ 2000R Phase 2: corners:  95%|█████████▍| 337/355 [00:02<00:00, 196.42it/s]

                                                                            [PASS2] Frame 0000405: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000406: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000407: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000408: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000644: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000645: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000646: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000647: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000666: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000669: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000672: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000786: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000788: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000789: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000790: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000791: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000792: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000793: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000794: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000795: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000796: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000797: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000798: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000800: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000801: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000802: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000804: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000821: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000407: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000646: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000666: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000669: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000797: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000800: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000801: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000802: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000804: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000821: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000666: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000669: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000797: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000800: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000801: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000802: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000804: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000821: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Summary: 11 frames fixed, 24 untrusted, 355 total


→ 2000R Phase 3: finalize:   0%|          | 0/355 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 6/355 [00:00<00:05, 59.56it/s]

→ 2000R Phase 3: finalize:   4%|▎         | 13/355 [00:00<00:05, 61.97it/s]

→ 2000R Phase 3: finalize:   6%|▌         | 20/355 [00:00<00:05, 63.11it/s]

→ 2000R Phase 3: finalize:   8%|▊         | 27/355 [00:00<00:05, 63.71it/s]

→ 2000R Phase 3: finalize:  10%|▉         | 34/355 [00:00<00:04, 64.30it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 41/355 [00:00<00:04, 65.36it/s]

→ 2000R Phase 3: finalize:  14%|█▎        | 48/355 [00:00<00:04, 66.39it/s]

→ 2000R Phase 3: finalize:  15%|█▌        | 55/355 [00:00<00:04, 61.80it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 62/355 [00:00<00:04, 59.40it/s]

→ 2000R Phase 3: finalize:  19%|█▉        | 69/355 [00:01<00:04, 57.85it/s]

→ 2000R Phase 3: finalize:  21%|██        | 75/355 [00:01<00:04, 56.99it/s]

→ 2000R Phase 3: finalize:  23%|██▎       | 81/355 [00:01<00:04, 55.85it/s]

→ 2000R Phase 3: finalize:  25%|██▍       | 87/355 [00:01<00:04, 55.44it/s]

→ 2000R Phase 3: finalize:  26%|██▌       | 93/355 [00:01<00:04, 54.90it/s]

→ 2000R Phase 3: finalize:  28%|██▊       | 99/355 [00:01<00:04, 54.19it/s]

→ 2000R Phase 3: finalize:  30%|██▉       | 105/355 [00:01<00:04, 53.77it/s]

→ 2000R Phase 3: finalize:  31%|███▏      | 111/355 [00:01<00:04, 53.30it/s]

→ 2000R Phase 3: finalize:  33%|███▎      | 117/355 [00:02<00:04, 53.49it/s]

→ 2000R Phase 3: finalize:  35%|███▍      | 123/355 [00:02<00:04, 53.67it/s]

→ 2000R Phase 3: finalize:  36%|███▋      | 129/355 [00:02<00:04, 53.27it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 135/355 [00:02<00:04, 53.76it/s]

→ 2000R Phase 3: finalize:  40%|███▉      | 141/355 [00:02<00:03, 54.15it/s]

→ 2000R Phase 3: finalize:  41%|████▏     | 147/355 [00:02<00:03, 54.27it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 153/355 [00:02<00:03, 54.34it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 159/355 [00:02<00:03, 54.48it/s]

→ 2000R Phase 3: finalize:  46%|████▋     | 165/355 [00:02<00:03, 54.29it/s]

→ 2000R Phase 3: finalize:  48%|████▊     | 171/355 [00:03<00:03, 54.07it/s]

→ 2000R Phase 3: finalize:  50%|████▉     | 177/355 [00:03<00:03, 53.88it/s]

→ 2000R Phase 3: finalize:  52%|█████▏    | 183/355 [00:03<00:03, 53.69it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 189/355 [00:03<00:03, 53.57it/s]

→ 2000R Phase 3: finalize:  55%|█████▍    | 195/355 [00:03<00:02, 53.59it/s]

→ 2000R Phase 3: finalize:  57%|█████▋    | 201/355 [00:03<00:02, 53.52it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 207/355 [00:03<00:02, 53.37it/s]

→ 2000R Phase 3: finalize:  60%|██████    | 213/355 [00:03<00:02, 53.35it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 219/355 [00:03<00:02, 53.20it/s]

→ 2000R Phase 3: finalize:  63%|██████▎   | 225/355 [00:04<00:02, 52.91it/s]

→ 2000R Phase 3: finalize:  65%|██████▌   | 231/355 [00:04<00:02, 52.68it/s]

→ 2000R Phase 3: finalize:  67%|██████▋   | 237/355 [00:04<00:02, 52.50it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 243/355 [00:04<00:02, 52.39it/s]

→ 2000R Phase 3: finalize:  70%|███████   | 249/355 [00:04<00:02, 52.40it/s]

→ 2000R Phase 3: finalize:  72%|███████▏  | 255/355 [00:04<00:01, 52.54it/s]

→ 2000R Phase 3: finalize:  74%|███████▎  | 261/355 [00:04<00:01, 52.64it/s]

→ 2000R Phase 3: finalize:  75%|███████▌  | 267/355 [00:04<00:01, 52.66it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 273/355 [00:04<00:01, 52.60it/s]

→ 2000R Phase 3: finalize:  79%|███████▊  | 279/355 [00:05<00:01, 52.46it/s]

→ 2000R Phase 3: finalize:  80%|████████  | 285/355 [00:05<00:01, 52.42it/s]

→ 2000R Phase 3: finalize:  82%|████████▏ | 291/355 [00:05<00:01, 52.40it/s]

→ 2000R Phase 3: finalize:  84%|████████▎ | 297/355 [00:05<00:01, 52.45it/s]

→ 2000R Phase 3: finalize:  85%|████████▌ | 303/355 [00:05<00:00, 52.54it/s]

→ 2000R Phase 3: finalize:  87%|████████▋ | 309/355 [00:05<00:00, 52.58it/s]

→ 2000R Phase 3: finalize:  89%|████████▊ | 315/355 [00:05<00:00, 52.64it/s]

→ 2000R Phase 3: finalize:  90%|█████████ | 321/355 [00:05<00:00, 52.69it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 327/355 [00:05<00:00, 52.49it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 333/355 [00:06<00:00, 52.26it/s]

→ 2000R Phase 3: finalize:  95%|█████████▌| 339/355 [00:06<00:00, 52.36it/s]

→ 2000R Phase 3: finalize:  97%|█████████▋| 345/355 [00:06<00:00, 52.46it/s]

→ 2000R Phase 3: finalize:  99%|█████████▉| 351/355 [00:06<00:00, 51.63it/s]

                                                                            
[TIMING] 2000R — 355 frames
  Phase 1  radial detect   (parallel)  :   5.33s  (15.0 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.71s  (7.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.80s
  Phase 3  finalize        (sequential):   6.52s  (18.4 ms/frame)
    decode + undistort                 :   3.40s  (9.6 ms/frame)
    corner apply + refinement          :   1.40s  (4.0 ms/frame)
    segment                            :   1.40s  (3.9 ms/frame)
    smooth                             :   0.20s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  15.36s


Processing Rigs:  75%|███████▌  | 3/4 [01:10<00:23, 23.26s/it][INFO] Filtered 701 stationary frames, 454 remain


→ 1000 (454 images) Phase 1:   0%|          | 0/454 [00:00<?, ?it/s]

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→ 1000 (454 images) Phase 1:   6%|▋         | 29/454 [00:00<00:08, 49.68it/s]

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→ 1000 (454 images) Phase 1:  18%|█▊        | 82/454 [00:01<00:05, 66.19it/s]

→ 1000 (454 images) Phase 1:  21%|██▏       | 97/454 [00:01<00:06, 58.05it/s]

→ 1000 (454 images) Phase 1:  24%|██▍       | 111/454 [00:02<00:04, 69.44it/s]

→ 1000 (454 images) Phase 1:  28%|██▊       | 129/454 [00:02<00:05, 63.62it/s]

→ 1000 (454 images) Phase 1:  31%|███       | 140/454 [00:02<00:04, 70.47it/s]

→ 1000 (454 images) Phase 1:  35%|███▌      | 161/454 [00:02<00:04, 66.99it/s]

→ 1000 (454 images) Phase 1:  39%|███▉      | 177/454 [00:02<00:03, 80.59it/s]

→ 1000 (454 images) Phase 1:  43%|████▎     | 193/454 [00:03<00:03, 67.67it/s]

→ 1000 (454 images) Phase 1:  46%|████▌     | 207/454 [00:03<00:03, 78.57it/s]

→ 1000 (454 images) Phase 1:  50%|████▉     | 225/454 [00:03<00:03, 69.04it/s]

→ 1000 (454 images) Phase 1:  52%|█████▏    | 238/454 [00:03<00:02, 78.10it/s]

→ 1000 (454 images) Phase 1:  56%|█████▋    | 256/454 [00:03<00:02, 92.04it/s]

→ 1000 (454 images) Phase 1:  59%|█████▉    | 268/454 [00:04<00:02, 70.17it/s]

→ 1000 (454 images) Phase 1:  63%|██████▎   | 288/454 [00:04<00:01, 87.43it/s]

→ 1000 (454 images) Phase 1:  66%|██████▌   | 299/454 [00:04<00:02, 66.49it/s]

→ 1000 (454 images) Phase 1:  70%|███████   | 320/454 [00:04<00:01, 85.74it/s]

→ 1000 (454 images) Phase 1:  73%|███████▎  | 332/454 [00:05<00:01, 66.89it/s]

→ 1000 (454 images) Phase 1:  78%|███████▊  | 352/454 [00:05<00:01, 84.64it/s]

→ 1000 (454 images) Phase 1:  80%|████████  | 364/454 [00:05<00:01, 66.44it/s]

→ 1000 (454 images) Phase 1:  85%|████████▍ | 384/454 [00:05<00:00, 84.97it/s]

→ 1000 (454 images) Phase 1:  87%|████████▋ | 396/454 [00:05<00:00, 65.65it/s]

→ 1000 (454 images) Phase 1:  91%|█████████▏| 415/454 [00:06<00:00, 84.89it/s]

→ 1000 (454 images) Phase 1:  94%|█████████▍| 427/454 [00:06<00:00, 57.52it/s]

→ 1000 (454 images) Phase 1:  99%|█████████▊| 448/454 [00:06<00:00, 76.84it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/454 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   0%|          | 1/454 [00:00<02:24,  3.14it/s]

→ 1000 Phase 2: corners:   4%|▍         | 18/454 [00:00<00:08, 53.32it/s]

→ 1000 Phase 2: corners:   7%|▋         | 31/454 [00:00<00:05, 75.44it/s]

→ 1000 Phase 2: corners:  10%|▉         | 44/454 [00:00<00:04, 91.49it/s]

→ 1000 Phase 2: corners:  13%|█▎        | 58/454 [00:00<00:03, 103.48it/s]

→ 1000 Phase 2: corners:  16%|█▋        | 74/454 [00:00<00:03, 118.46it/s]

→ 1000 Phase 2: corners:  19%|█▉        | 88/454 [00:00<00:03, 120.50it/s]

→ 1000 Phase 2: corners:  22%|██▏       | 102/454 [00:01<00:02, 125.01it/s]

→ 1000 Phase 2: corners:  26%|██▌       | 117/454 [00:01<00:02, 130.81it/s]

→ 1000 Phase 2: corners:  29%|██▉       | 131/454 [00:01<00:02, 132.11it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 146/454 [00:01<00:02, 136.47it/s]

→ 1000 Phase 2: corners:  35%|███▌      | 160/454 [00:01<00:02, 134.97it/s]

→ 1000 Phase 2: corners:  39%|███▊      | 175/454 [00:01<00:02, 139.28it/s]

→ 1000 Phase 2: corners:  42%|████▏     | 190/454 [00:01<00:01, 135.67it/s]

→ 1000 Phase 2: corners:  46%|████▋     | 210/454 [00:01<00:01, 149.29it/s]

→ 1000 Phase 2: corners:  50%|████▉     | 226/454 [00:01<00:01, 149.95it/s]

→ 1000 Phase 2: corners:  53%|█████▎    | 242/454 [00:02<00:01, 149.43it/s]

→ 1000 Phase 2: corners:  57%|█████▋    | 261/454 [00:02<00:01, 159.99it/s]

→ 1000 Phase 2: corners:  61%|██████▏   | 279/454 [00:02<00:01, 164.06it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 299/454 [00:02<00:00, 172.19it/s]

→ 1000 Phase 2: corners:  70%|██████▉   | 317/454 [00:02<00:00, 171.93it/s]

→ 1000 Phase 2: corners:  74%|███████▍  | 336/454 [00:02<00:00, 176.26it/s]

→ 1000 Phase 2: corners:  78%|███████▊  | 355/454 [00:02<00:00, 179.01it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 375/454 [00:02<00:00, 183.05it/s]

→ 1000 Phase 2: corners:  87%|████████▋ | 395/454 [00:02<00:00, 183.41it/s]

→ 1000 Phase 2: corners:  91%|█████████▏| 415/454 [00:02<00:00, 186.11it/s]

                                                                           [PASS2] Summary: 0 frames fixed, 1 untrusted, 454 total


→ 1000 Phase 3: finalize:   0%|          | 0/454 [00:00<?, ?it/s]

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→ 1000 Phase 3: finalize:   6%|▋         | 29/454 [00:00<00:06, 70.36it/s]

→ 1000 Phase 3: finalize:   8%|▊         | 37/454 [00:00<00:05, 70.03it/s]

→ 1000 Phase 3: finalize:  10%|▉         | 45/454 [00:00<00:05, 69.89it/s]

→ 1000 Phase 3: finalize:  11%|█▏        | 52/454 [00:00<00:06, 66.92it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 59/454 [00:00<00:06, 63.34it/s]

→ 1000 Phase 3: finalize:  15%|█▍        | 66/454 [00:01<00:06, 60.91it/s]

→ 1000 Phase 3: finalize:  16%|█▌        | 73/454 [00:01<00:06, 59.02it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 79/454 [00:01<00:06, 58.11it/s]

→ 1000 Phase 3: finalize:  19%|█▊        | 85/454 [00:01<00:06, 57.65it/s]

→ 1000 Phase 3: finalize:  20%|██        | 91/454 [00:01<00:06, 57.31it/s]

→ 1000 Phase 3: finalize:  21%|██▏       | 97/454 [00:01<00:06, 57.04it/s]

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→ 1000 Phase 3: finalize:  24%|██▍       | 109/454 [00:01<00:06, 56.73it/s]

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→ 1000 Phase 3: finalize:  27%|██▋       | 121/454 [00:01<00:05, 56.19it/s]

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→ 1000 Phase 3: finalize:  32%|███▏      | 145/454 [00:02<00:05, 55.69it/s]

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→ 1000 Phase 3: finalize:  39%|███▊      | 175/454 [00:02<00:05, 55.44it/s]

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→ 1000 Phase 3: finalize:  44%|████▍     | 199/454 [00:03<00:04, 55.76it/s]

→ 1000 Phase 3: finalize:  45%|████▌     | 205/454 [00:03<00:04, 55.81it/s]

→ 1000 Phase 3: finalize:  46%|████▋     | 211/454 [00:03<00:04, 55.85it/s]

→ 1000 Phase 3: finalize:  48%|████▊     | 217/454 [00:03<00:04, 55.90it/s]

→ 1000 Phase 3: finalize:  49%|████▉     | 223/454 [00:03<00:04, 55.98it/s]

→ 1000 Phase 3: finalize:  50%|█████     | 229/454 [00:03<00:04, 56.04it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 235/454 [00:04<00:03, 55.97it/s]

→ 1000 Phase 3: finalize:  53%|█████▎    | 241/454 [00:04<00:03, 55.89it/s]

→ 1000 Phase 3: finalize:  54%|█████▍    | 247/454 [00:04<00:03, 55.85it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 253/454 [00:04<00:03, 55.83it/s]

→ 1000 Phase 3: finalize:  57%|█████▋    | 259/454 [00:04<00:03, 55.84it/s]

→ 1000 Phase 3: finalize:  58%|█████▊    | 265/454 [00:04<00:03, 55.66it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 271/454 [00:04<00:03, 55.50it/s]

→ 1000 Phase 3: finalize:  61%|██████    | 277/454 [00:04<00:03, 55.44it/s]

→ 1000 Phase 3: finalize:  62%|██████▏   | 283/454 [00:04<00:03, 55.39it/s]

→ 1000 Phase 3: finalize:  64%|██████▎   | 289/454 [00:05<00:02, 55.34it/s]

→ 1000 Phase 3: finalize:  65%|██████▍   | 295/454 [00:05<00:02, 55.18it/s]

→ 1000 Phase 3: finalize:  66%|██████▋   | 301/454 [00:05<00:02, 55.01it/s]

→ 1000 Phase 3: finalize:  68%|██████▊   | 307/454 [00:05<00:02, 54.80it/s]

→ 1000 Phase 3: finalize:  69%|██████▉   | 313/454 [00:05<00:02, 54.73it/s]

→ 1000 Phase 3: finalize:  70%|███████   | 319/454 [00:05<00:02, 54.74it/s]

→ 1000 Phase 3: finalize:  72%|███████▏  | 325/454 [00:05<00:02, 54.83it/s]

→ 1000 Phase 3: finalize:  73%|███████▎  | 331/454 [00:05<00:02, 54.97it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 337/454 [00:05<00:02, 55.07it/s]

→ 1000 Phase 3: finalize:  76%|███████▌  | 343/454 [00:05<00:02, 55.19it/s]

→ 1000 Phase 3: finalize:  77%|███████▋  | 349/454 [00:06<00:01, 55.38it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 355/454 [00:06<00:01, 55.48it/s]

→ 1000 Phase 3: finalize:  80%|███████▉  | 361/454 [00:06<00:01, 55.71it/s]

→ 1000 Phase 3: finalize:  81%|████████  | 367/454 [00:06<00:01, 55.87it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 373/454 [00:06<00:01, 55.94it/s]

→ 1000 Phase 3: finalize:  83%|████████▎ | 379/454 [00:06<00:01, 56.09it/s]

→ 1000 Phase 3: finalize:  85%|████████▍ | 385/454 [00:06<00:01, 56.17it/s]

→ 1000 Phase 3: finalize:  86%|████████▌ | 391/454 [00:06<00:01, 56.23it/s]

→ 1000 Phase 3: finalize:  87%|████████▋ | 397/454 [00:06<00:01, 56.30it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 403/454 [00:07<00:00, 56.43it/s]

→ 1000 Phase 3: finalize:  90%|█████████ | 409/454 [00:07<00:00, 56.18it/s]

→ 1000 Phase 3: finalize:  91%|█████████▏| 415/454 [00:07<00:00, 56.12it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 421/454 [00:07<00:00, 56.23it/s]

→ 1000 Phase 3: finalize:  94%|█████████▍| 427/454 [00:07<00:00, 56.25it/s]

→ 1000 Phase 3: finalize:  95%|█████████▌| 433/454 [00:07<00:00, 56.38it/s]

→ 1000 Phase 3: finalize:  97%|█████████▋| 439/454 [00:07<00:00, 56.46it/s]

→ 1000 Phase 3: finalize:  98%|█████████▊| 445/454 [00:07<00:00, 56.39it/s]

→ 1000 Phase 3: finalize:  99%|█████████▉| 451/454 [00:07<00:00, 56.11it/s]

                                                                           
[TIMING] 1000 — 454 frames
  Phase 1  radial detect   (parallel)  :   6.91s  (15.2 ms/frame)
  Phase 2a corner detect   (parallel)  :   3.10s  (6.8 ms/frame)
  Phase 2b corner fix      (sequential):   0.09s
  Phase 3  finalize        (sequential):   7.98s  (17.6 ms/frame)
    decode + undistort                 :   4.39s  (9.7 ms/frame)
    corner apply + refinement          :   1.47s  (3.2 ms/frame)
    segment                            :   1.73s  (3.8 ms/frame)
    smooth                             :   0.24s  (0.5 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  18.08s


Processing Rigs: 100%|██████████| 4/4 [01:32<00:00, 22.76s/it]
Processing Rigs: 100%|██████████| 4/4 [01:32<00:00, 23.22s/it]
[💾] Saved RigFrameDataset to /working/MDC024_W098(6)_2026_05_29/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 1787 frames from 4 rigs to /working/MDC024_W098(6)_2026_05_29/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDC024_W098(6)_2026_05_29/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 361
[📋] 1500: 100 frames selected from 617
[📋] 2000R: 100 frames selected from 355
[📋] 1000: 100 frames selected from 454
[💾] Saved RigFrameDataset to /working/MDC024_W098(6)_2026_05_29/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDC024_W098(6)_2026_05_29/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]
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Computing max image from bright frames:   4%|▍         | 3/80 [00:09<04:04,  3.17s/it]
Computing max image from bright frames:   5%|▌         | 4/80 [00:12<04:02,  3.19s/it]
Computing max image from bright frames:   6%|▋         | 5/80 [00:15<03:58,  3.18s/it]
Computing max image from bright frames:   8%|▊         | 6/80 [00:19<03:54,  3.17s/it]
Computing max image from bright frames:   9%|▉         | 7/80 [00:22<03:51,  3.17s/it]
Computing max image from bright frames:  10%|█         | 8/80 [00:25<03:48,  3.17s/it]
Computing max image from bright frames:  11%|█▏        | 9/80 [00:28<03:44,  3.17s/it]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:31<03:42,  3.18s/it]
Computing max image from bright frames:  14%|█▍        | 11/80 [00:34<03:39,  3.18s/it]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:38<03:36,  3.19s/it]
Computing max image from bright frames:  16%|█▋        | 13/80 [00:41<03:33,  3.19s/it]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:44<03:30,  3.19s/it]
Computing max image from bright frames:  19%|█▉        | 15/80 [00:47<03:27,  3.18s/it]
Computing max image from bright frames:  20%|██        | 16/80 [00:50<03:23,  3.18s/it]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:54<03:19,  3.17s/it]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:57<03:16,  3.17s/it]
Computing max image from bright frames:  24%|██▍       | 19/80 [01:00<03:13,  3.17s/it]
Computing max image from bright frames:  25%|██▌       | 20/80 [01:01<02:37,  2.62s/it]
Computing max image from bright frames:  26%|██▋       | 21/80 [01:04<02:44,  2.79s/it]
Computing max image from bright frames:  28%|██▊       | 22/80 [01:08<02:48,  2.91s/it]
Computing max image from bright frames:  29%|██▉       | 23/80 [01:11<02:49,  2.98s/it]
Computing max image from bright frames:  30%|███       | 24/80 [01:14<02:49,  3.03s/it]
Computing max image from bright frames:  31%|███▏      | 25/80 [01:17<02:48,  3.07s/it]
Computing max image from bright frames:  32%|███▎      | 26/80 [01:20<02:47,  3.09s/it]
Computing max image from bright frames:  34%|███▍      | 27/80 [01:23<02:45,  3.12s/it]
Computing max image from bright frames:  35%|███▌      | 28/80 [01:27<02:42,  3.13s/it]
Computing max image from bright frames:  36%|███▋      | 29/80 [01:30<02:43,  3.21s/it]
Computing max image from bright frames:  38%|███▊      | 30/80 [01:33<02:41,  3.23s/it]
Computing max image from bright frames:  39%|███▉      | 31/80 [01:37<02:41,  3.29s/it]
Computing max image from bright frames:  40%|████      | 32/80 [01:40<02:41,  3.36s/it]
Computing max image from bright frames:  41%|████▏     | 33/80 [01:44<02:39,  3.39s/it]
Computing max image from bright frames:  42%|████▎     | 34/80 [01:47<02:36,  3.41s/it]
Computing max image from bright frames:  44%|████▍     | 35/80 [01:50<02:33,  3.42s/it]
Computing max image from bright frames:  45%|████▌     | 36/80 [01:54<02:27,  3.35s/it]
Computing max image from bright frames:  46%|████▋     | 37/80 [01:57<02:21,  3.29s/it]
Computing max image from bright frames:  48%|████▊     | 38/80 [02:00<02:16,  3.25s/it]
Computing max image from bright frames:  49%|████▉     | 39/80 [02:03<02:12,  3.23s/it]
Computing max image from bright frames:  50%|█████     | 40/80 [02:06<02:08,  3.21s/it]
Computing max image from bright frames:  51%|█████▏    | 41/80 [02:09<02:04,  3.19s/it]
Computing max image from bright frames:  52%|█████▎    | 42/80 [02:13<02:01,  3.19s/it]
Computing max image from bright frames:  54%|█████▍    | 43/80 [02:16<01:57,  3.17s/it]
Computing max image from bright frames:  55%|█████▌    | 44/80 [02:19<01:54,  3.17s/it]
Computing max image from bright frames:  56%|█████▋    | 45/80 [02:22<01:50,  3.17s/it]
Computing max image from bright frames:  57%|█████▊    | 46/80 [02:25<01:47,  3.16s/it]
Computing max image from bright frames:  59%|█████▉    | 47/80 [02:28<01:44,  3.16s/it]
Computing max image from bright frames:  60%|██████    | 48/80 [02:32<01:41,  3.16s/it]
Computing max image from bright frames:  61%|██████▏   | 49/80 [02:35<01:40,  3.23s/it]
Computing max image from bright frames:  62%|██████▎   | 50/80 [02:39<01:39,  3.33s/it]
Computing max image from bright frames:  64%|██████▍   | 51/80 [02:42<01:37,  3.37s/it]
Computing max image from bright frames:  65%|██████▌   | 52/80 [02:45<01:35,  3.40s/it]
Computing max image from bright frames:  66%|██████▋   | 53/80 [02:49<01:32,  3.42s/it]
Computing max image from bright frames:  68%|██████▊   | 54/80 [02:52<01:29,  3.43s/it]
Computing max image from bright frames:  69%|██████▉   | 55/80 [02:56<01:25,  3.42s/it]
Computing max image from bright frames:  70%|███████   | 56/80 [02:59<01:20,  3.35s/it]
Computing max image from bright frames:  71%|███████▏  | 57/80 [03:02<01:16,  3.31s/it]
Computing max image from bright frames:  72%|███████▎  | 58/80 [03:05<01:11,  3.26s/it]
Computing max image from bright frames:  74%|███████▍  | 59/80 [03:09<01:08,  3.25s/it]
Computing max image from bright frames:  75%|███████▌  | 60/80 [03:10<00:53,  2.70s/it]
Computing max image from bright frames:  76%|███████▋  | 61/80 [03:13<00:54,  2.85s/it]
Computing max image from bright frames:  78%|███████▊  | 62/80 [03:18<01:00,  3.38s/it]
Computing max image from bright frames:  79%|███████▉  | 63/80 [03:23<01:07,  3.97s/it]
Computing max image from bright frames:  80%|████████  | 64/80 [03:26<01:00,  3.76s/it]
Computing max image from bright frames:  81%|████████▏ | 65/80 [03:30<00:53,  3.59s/it]
Computing max image from bright frames:  82%|████████▎ | 66/80 [03:35<00:58,  4.16s/it]
Computing max image from bright frames:  84%|████████▍ | 67/80 [03:40<00:57,  4.39s/it]
Computing max image from bright frames:  85%|████████▌ | 68/80 [03:43<00:48,  4.05s/it]
Computing max image from bright frames:  86%|████████▋ | 69/80 [03:46<00:41,  3.79s/it]
Computing max image from bright frames:  88%|████████▊ | 70/80 [03:50<00:37,  3.71s/it]
Computing max image from bright frames:  89%|████████▉ | 71/80 [03:54<00:32,  3.67s/it]
Computing max image from bright frames:  90%|█████████ | 72/80 [03:57<00:28,  3.56s/it]
Computing max image from bright frames:  91%|█████████▏| 73/80 [04:00<00:24,  3.53s/it]
Computing max image from bright frames:  92%|█████████▎| 74/80 [04:04<00:21,  3.53s/it]
Computing max image from bright frames:  94%|█████████▍| 75/80 [04:07<00:17,  3.51s/it]
Computing max image from bright frames:  95%|█████████▌| 76/80 [04:10<00:13,  3.40s/it]
Computing max image from bright frames:  96%|█████████▋| 77/80 [04:14<00:09,  3.33s/it]
Computing max image from bright frames:  98%|█████████▊| 78/80 [04:17<00:06,  3.29s/it]
Computing max image from bright frames:  99%|█████████▉| 79/80 [04:20<00:03,  3.25s/it]
Computing max image from bright frames: 100%|██████████| 80/80 [04:23<00:00,  3.23s/it]
                                                                                       
[✅] Casing detection complete: cx=1035.0, cy=763.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:24,  3.96it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:24,  3.96it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   2%|▏         | 2/100 [00:00<00:24,  3.96it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:24,  3.96it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:07, 12.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.97it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 335.354} (0.000):   6%|▌         | 6/100 [00:00<00:06, 14.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 349.495} (0.001):   6%|▌         | 6/100 [00:00<00:06, 14.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.000 | Best: {'fx': 349.495} (0.001):   7%|▋         | 7/100 [00:00<00:06, 14.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:06, 14.63it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   9%|▉         | 9/100 [00:00<00:05, 18.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:05, 18.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  10%|█         | 10/100 [00:00<00:04, 18.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.001 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 18.04it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  13%|█▎        | 13/100 [00:00<00:03, 23.23it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  13%|█▎        | 13/100 [00:00<00:03, 23.23it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 413.131} (0.005):  14%|█▍        | 14/100 [00:00<00:03, 23.23it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  15%|█▌        | 15/100 [00:00<00:03, 23.23it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  16%|█▌        | 16/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 420.202} (0.006):  16%|█▌        | 16/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.004 | Best: {'fx': 420.202} (0.006):  17%|█▋        | 17/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.006 | Best: {'fx': 434.343} (0.007):  19%|█▉        | 19/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  21%|██        | 21/100 [00:00<00:03, 22.35it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.011 | Best: {'fx': 448.485} (0.011):  22%|██▏       | 22/100 [00:00<00:02, 29.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.013 | Best: {'fx': 455.556} (0.013):  22%|██▏       | 22/100 [00:01<00:02, 29.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:02, 29.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:02, 29.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  25%|██▌       | 25/100 [00:01<00:02, 29.51it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 476.768} (0.021):  26%|██▌       | 26/100 [00:01<00:02, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 483.838} (0.025):  26%|██▌       | 26/100 [00:01<00:02, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 490.909} (0.033):  27%|██▋       | 27/100 [00:01<00:02, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.042 | Best: {'fx': 497.98} (0.042):  28%|██▊       | 28/100 [00:01<00:02, 29.75it/s] 
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  29%|██▉       | 29/100 [00:01<00:02, 29.75it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.051 | Best: {'fx': 505.051} (0.051):  30%|███       | 30/100 [00:01<00:02, 27.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.063 | Best: {'fx': 512.121} (0.063):  30%|███       | 30/100 [00:01<00:02, 27.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.069 | Best: {'fx': 547.475} (0.069):  31%|███       | 31/100 [00:01<00:02, 27.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.078 | Best: {'fx': 519.192} (0.078):  32%|███▏      | 32/100 [00:01<00:02, 27.92it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.078 | Best: {'fx': 519.192} (0.078):  33%|███▎      | 33/100 [00:01<00:03, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.108 | Best: {'fx': 533.333} (0.108):  33%|███▎      | 33/100 [00:01<00:03, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.104 | Best: {'fx': 533.333} (0.108):  34%|███▍      | 34/100 [00:01<00:03, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.050 | Best: {'fx': 533.333} (0.108):  35%|███▌      | 35/100 [00:01<00:03, 19.33it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.050 | Best: {'fx': 533.333} (0.108):  36%|███▌      | 36/100 [00:01<00:03, 19.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.039 | Best: {'fx': 533.333} (0.108):  36%|███▌      | 36/100 [00:01<00:03, 19.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.057 | Best: {'fx': 533.333} (0.108):  37%|███▋      | 37/100 [00:01<00:03, 19.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.045 | Best: {'fx': 533.333} (0.108):  38%|███▊      | 38/100 [00:01<00:03, 19.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.085 | Best: {'fx': 533.333} (0.108):  39%|███▉      | 39/100 [00:01<00:03, 19.26it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.085 | Best: {'fx': 533.333} (0.108):  40%|████      | 40/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.037 | Best: {'fx': 533.333} (0.108):  40%|████      | 40/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.028 | Best: {'fx': 533.333} (0.108):  41%|████      | 41/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.035 | Best: {'fx': 533.333} (0.108):  42%|████▏     | 42/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.042 | Best: {'fx': 533.333} (0.108):  43%|████▎     | 43/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.030 | Best: {'fx': 533.333} (0.108):  44%|████▍     | 44/100 [00:01<00:02, 22.90it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.030 | Best: {'fx': 533.333} (0.108):  45%|████▌     | 45/100 [00:01<00:02, 26.93it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.032 | Best: {'fx': 533.333} (0.108):  45%|████▌     | 45/100 [00:02<00:02, 26.93it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.031 | Best: {'fx': 533.333} (0.108):  46%|████▌     | 46/100 [00:02<00:02, 26.93it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 533.333} (0.108):  47%|████▋     | 47/100 [00:02<00:01, 26.93it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.033 | Best: {'fx': 533.333} (0.108):  48%|████▊     | 48/100 [00:02<00:01, 26.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.029 | Best: {'fx': 533.333} (0.108):  48%|████▊     | 48/100 [00:02<00:01, 26.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 533.333} (0.108):  49%|████▉     | 49/100 [00:02<00:01, 26.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 533.333} (0.108):  50%|█████     | 50/100 [00:02<00:01, 26.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.027 | Best: {'fx': 533.333} (0.108):  51%|█████     | 51/100 [00:02<00:02, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.108):  51%|█████     | 51/100 [00:02<00:02, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.024 | Best: {'fx': 533.333} (0.108):  52%|█████▏    | 52/100 [00:02<00:02, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.108):  53%|█████▎    | 53/100 [00:02<00:02, 22.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.108):  54%|█████▍    | 54/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.108):  54%|█████▍    | 54/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  55%|█████▌    | 55/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.108):  56%|█████▌    | 56/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.026 | Best: {'fx': 533.333} (0.108):  57%|█████▋    | 57/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  58%|█████▊    | 58/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.023 | Best: {'fx': 533.333} (0.108):  59%|█████▉    | 59/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.108):  60%|██████    | 60/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.108):  61%|██████    | 61/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.025 | Best: {'fx': 533.333} (0.108):  62%|██████▏   | 62/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  63%|██████▎   | 63/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.108):  64%|██████▍   | 64/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.108):  65%|██████▌   | 65/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  66%|██████▌   | 66/100 [00:02<00:01, 23.58it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  67%|██████▋   | 67/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  67%|██████▋   | 67/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.022 | Best: {'fx': 533.333} (0.108):  68%|██████▊   | 68/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.108):  69%|██████▉   | 69/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.021 | Best: {'fx': 533.333} (0.108):  70%|███████   | 70/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  71%|███████   | 71/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  72%|███████▏  | 72/100 [00:02<00:00, 46.67it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  73%|███████▎  | 73/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  73%|███████▎  | 73/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  74%|███████▍  | 74/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  75%|███████▌  | 75/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  76%|███████▌  | 76/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  77%|███████▋  | 77/100 [00:02<00:00, 43.00it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  78%|███████▊  | 78/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  78%|███████▊  | 78/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  79%|███████▉  | 79/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  80%|████████  | 80/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.020 | Best: {'fx': 533.333} (0.108):  81%|████████  | 81/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  82%|████████▏ | 82/100 [00:02<00:00, 41.74it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  83%|████████▎ | 83/100 [00:02<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  83%|████████▎ | 83/100 [00:02<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  84%|████████▍ | 84/100 [00:03<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  85%|████████▌ | 85/100 [00:03<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  86%|████████▌ | 86/100 [00:03<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  87%|████████▋ | 87/100 [00:03<00:00, 40.45it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  88%|████████▊ | 88/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  88%|████████▊ | 88/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  89%|████████▉ | 89/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  90%|█████████ | 90/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  91%|█████████ | 91/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  92%|█████████▏| 92/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  93%|█████████▎| 93/100 [00:03<00:00, 37.34it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.019 | Best: {'fx': 533.333} (0.108):  94%|█████████▍| 94/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  94%|█████████▍| 94/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  95%|█████████▌| 95/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  96%|█████████▌| 96/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  97%|█████████▋| 97/100 [00:03<00:00, 36.99it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  98%|█████████▊| 98/100 [00:03<00:00, 35.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  98%|█████████▊| 98/100 [00:03<00:00, 35.78it/s]
Brute | Start: {'fx': 500.0} (0.045) | Current: 0.018 | Best: {'fx': 533.333} (0.108):  99%|█████████▉| 99/100 [00:03<00:00, 35.78it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.056 | Best: {'fx': 508.333} (0.056):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.056 | Best: {'fx': 508.333} (0.056):   2%|▏         | 1/50 [00:00<00:25,  1.95it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.058 | Best: {'fx': 509.354} (0.058):   2%|▏         | 1/50 [00:00<00:25,  1.95it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.060 | Best: {'fx': 510.374} (0.060):   4%|▍         | 2/50 [00:00<00:24,  1.95it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.062 | Best: {'fx': 511.395} (0.062):   6%|▌         | 3/50 [00:00<00:24,  1.95it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.063 | Best: {'fx': 512.415} (0.063):   8%|▊         | 4/50 [00:00<00:23,  1.95it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.063 | Best: {'fx': 512.415} (0.063):  10%|█         | 5/50 [00:00<00:05,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.066 | Best: {'fx': 513.435} (0.066):  10%|█         | 5/50 [00:00<00:05,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.070 | Best: {'fx': 514.456} (0.070):  12%|█▏        | 6/50 [00:00<00:04,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.071 | Best: {'fx': 515.476} (0.071):  14%|█▍        | 7/50 [00:00<00:04,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.072 | Best: {'fx': 516.497} (0.072):  16%|█▌        | 8/50 [00:00<00:04,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.076 | Best: {'fx': 518.537} (0.076):  18%|█▊        | 9/50 [00:00<00:04,  8.83it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.076 | Best: {'fx': 518.537} (0.076):  20%|██        | 10/50 [00:00<00:02, 15.17it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.079 | Best: {'fx': 519.558} (0.079):  20%|██        | 10/50 [00:00<00:02, 15.17it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.083 | Best: {'fx': 520.578} (0.083):  22%|██▏       | 11/50 [00:00<00:02, 15.17it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.075 | Best: {'fx': 520.578} (0.083):  24%|██▍       | 12/50 [00:01<00:02, 15.17it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.075 | Best: {'fx': 520.578} (0.083):  26%|██▌       | 13/50 [00:01<00:02, 15.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.092 | Best: {'fx': 522.619} (0.092):  26%|██▌       | 13/50 [00:01<00:02, 15.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.103 | Best: {'fx': 525.68} (0.103):  28%|██▊       | 14/50 [00:01<00:02, 15.66it/s] 
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.099 | Best: {'fx': 525.68} (0.103):  30%|███       | 15/50 [00:01<00:02, 15.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.087 | Best: {'fx': 525.68} (0.103):  32%|███▏      | 16/50 [00:01<00:02, 15.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.087 | Best: {'fx': 525.68} (0.103):  34%|███▍      | 17/50 [00:01<00:01, 19.82it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.104 | Best: {'fx': 526.701} (0.104):  34%|███▍      | 17/50 [00:01<00:01, 19.82it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.098 | Best: {'fx': 526.701} (0.104):  36%|███▌      | 18/50 [00:01<00:01, 19.82it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.112 | Best: {'fx': 530.782} (0.112):  38%|███▊      | 19/50 [00:01<00:01, 19.82it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.112 | Best: {'fx': 530.782} (0.112):  40%|████      | 20/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.105 | Best: {'fx': 530.782} (0.112):  40%|████      | 20/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.110 | Best: {'fx': 530.782} (0.112):  42%|████▏     | 21/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.107 | Best: {'fx': 530.782} (0.112):  44%|████▍     | 22/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.109 | Best: {'fx': 530.782} (0.112):  46%|████▌     | 23/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.086 | Best: {'fx': 530.782} (0.112):  48%|████▊     | 24/50 [00:01<00:01, 20.66it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.086 | Best: {'fx': 530.782} (0.112):  50%|█████     | 25/50 [00:01<00:00, 25.41it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.108 | Best: {'fx': 530.782} (0.112):  50%|█████     | 25/50 [00:01<00:00, 25.41it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.103 | Best: {'fx': 530.782} (0.112):  52%|█████▏    | 26/50 [00:01<00:00, 25.41it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.079 | Best: {'fx': 530.782} (0.112):  54%|█████▍    | 27/50 [00:01<00:00, 25.41it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.083 | Best: {'fx': 530.782} (0.112):  56%|█████▌    | 28/50 [00:01<00:00, 25.41it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.083 | Best: {'fx': 530.782} (0.112):  58%|█████▊    | 29/50 [00:01<00:00, 28.30it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.098 | Best: {'fx': 530.782} (0.112):  58%|█████▊    | 29/50 [00:01<00:00, 28.30it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.107 | Best: {'fx': 530.782} (0.112):  60%|██████    | 30/50 [00:01<00:00, 28.30it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.090 | Best: {'fx': 530.782} (0.112):  62%|██████▏   | 31/50 [00:01<00:00, 28.30it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.077 | Best: {'fx': 530.782} (0.112):  64%|██████▍   | 32/50 [00:01<00:00, 28.30it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.077 | Best: {'fx': 530.782} (0.112):  66%|██████▌   | 33/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.092 | Best: {'fx': 530.782} (0.112):  66%|██████▌   | 33/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.072 | Best: {'fx': 530.782} (0.112):  68%|██████▊   | 34/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.075 | Best: {'fx': 530.782} (0.112):  70%|███████   | 35/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.063 | Best: {'fx': 530.782} (0.112):  72%|███████▏  | 36/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.070 | Best: {'fx': 530.782} (0.112):  74%|███████▍  | 37/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.096 | Best: {'fx': 530.782} (0.112):  76%|███████▌  | 38/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.061 | Best: {'fx': 530.782} (0.112):  78%|███████▊  | 39/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.066 | Best: {'fx': 530.782} (0.112):  80%|████████  | 40/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.067 | Best: {'fx': 530.782} (0.112):  82%|████████▏ | 41/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.069 | Best: {'fx': 530.782} (0.112):  84%|████████▍ | 42/50 [00:01<00:00, 28.84it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.069 | Best: {'fx': 530.782} (0.112):  86%|████████▌ | 43/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.059 | Best: {'fx': 530.782} (0.112):  86%|████████▌ | 43/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.056 | Best: {'fx': 530.782} (0.112):  88%|████████▊ | 44/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.058 | Best: {'fx': 530.782} (0.112):  90%|█████████ | 45/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.060 | Best: {'fx': 530.782} (0.112):  92%|█████████▏| 46/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.056 | Best: {'fx': 530.782} (0.112):  94%|█████████▍| 47/50 [00:01<00:00, 45.38it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.056 | Best: {'fx': 530.782} (0.112):  96%|█████████▌| 48/50 [00:01<00:00, 42.00it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.055 | Best: {'fx': 530.782} (0.112):  96%|█████████▌| 48/50 [00:01<00:00, 42.00it/s]
Brute | Start: {'fx': 533.333} (0.108) | Current: 0.054 | Best: {'fx': 530.782} (0.112):  98%|█████████▊| 49/50 [00:01<00:00, 42.00it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 530.7823129251701
    px: 1035.0
    py: 763.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 6.2826: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 6.2826, picklable_objective(x0) = 6.2516

Best score: 6.2516: : 0iter [00:01, ?iter/s] 
Best score: 6.2516: : 1iter [00:01,  1.99s/iter]
Best score: 6.2516: : 1iter [00:02,  1.99s/iter]
Best score: 6.2516: : 2iter [00:02,  1.99s/iter]
Best score: 6.2516: : 3iter [00:02,  1.72iter/s]
Best score: 6.2516: : 3iter [00:02,  1.72iter/s]
Best score: 6.2516: : 4iter [00:02,  1.72iter/s]
Best score: 6.2516: : 5iter [00:02,  3.07iter/s]
Best score: 6.2516: : 5iter [00:02,  3.07iter/s]
Best score: 6.2516: : 6iter [00:02,  3.07iter/s]
Best score: 6.2516: : 7iter [00:02,  4.46iter/s]
Best score: 6.2516: : 7iter [00:02,  4.46iter/s]
Best score: 6.2516: : 8iter [00:02,  4.46iter/s]
Best score: 6.2516: : 9iter [00:02,  5.82iter/s]
Best score: 6.2516: : 9iter [00:02,  5.82iter/s]
Best score: 6.2516: : 10iter [00:02,  5.82iter/s]
Best score: 6.2516: : 11iter [00:02,  7.02iter/s]
Best score: 6.2516: : 11iter [00:02,  7.02iter/s]
Best score: 6.2516: : 12iter [00:03,  7.02iter/s]
Best score: 6.2516: : 13iter [00:03,  8.11iter/s]
Best score: 6.2516: : 13iter [00:03,  8.11iter/s]
Best score: 6.2516: : 14iter [00:03,  8.11iter/s]
Best score: 6.2516: : 15iter [00:03,  9.03iter/s]
Best score: 6.2516: : 15iter [00:03,  9.03iter/s]
Best score: 6.2516: : 16iter [00:03,  9.03iter/s]
Best score: 6.2516: : 17iter [00:03,  9.74iter/s]
Best score: 6.2516: : 17iter [00:03,  9.74iter/s]
Best score: 6.2516: : 18iter [00:03,  9.74iter/s]
Best score: 6.2516: : 19iter [00:03, 10.32iter/s]
Best score: 6.2516: : 19iter [00:03, 10.32iter/s]
Best score: 6.2516: : 20iter [00:03, 10.32iter/s]
Best score: 6.2516: : 21iter [00:03, 10.65iter/s]
Best score: 6.2516: : 21iter [00:03, 10.65iter/s]
Best score: 6.2516: : 22iter [00:03, 10.65iter/s]
Best score: 6.2516: : 23iter [00:03, 11.01iter/s]
Best score: 6.2516: : 23iter [00:03, 11.01iter/s]
Best score: 6.2516: : 24iter [00:04, 11.01iter/s]
Best score: 6.2516: : 25iter [00:04, 11.24iter/s]
Best score: 6.2516: : 25iter [00:04, 11.24iter/s]
Best score: 6.2516: : 26iter [00:04, 11.24iter/s]
Best score: 6.2516: : 27iter [00:04, 11.39iter/s]
Best score: 6.2516: : 27iter [00:04, 11.39iter/s]
Best score: 6.2516: : 28iter [00:04, 11.39iter/s]
Best score: 6.2516: : 29iter [00:04, 11.51iter/s]
Best score: 6.2516: : 29iter [00:04, 11.51iter/s]
Best score: 6.2516: : 30iter [00:04, 11.51iter/s]
Best score: 6.2516: : 31iter [00:04, 11.44iter/s]
Best score: 6.2516: : 31iter [00:04, 11.44iter/s]
Best score: 6.2516: : 32iter [00:04, 11.44iter/s]
Best score: 6.2516: : 33iter [00:04, 11.62iter/s]
Best score: 6.2516: : 33iter [00:04, 11.62iter/s]
Best score: 6.2516: : 34iter [00:04, 11.62iter/s]
Best score: 6.2516: : 35iter [00:04, 11.72iter/s]
Best score: 6.2516: : 35iter [00:04, 11.72iter/s]
Best score: 6.2516: : 36iter [00:05, 11.72iter/s]
Best score: 6.2516: : 37iter [00:05, 11.82iter/s]
Best score: 6.2516: : 37iter [00:05, 11.82iter/s]
Best score: 6.2516: : 38iter [00:05, 11.82iter/s]
Best score: 6.2516: : 39iter [00:05, 11.90iter/s]
Best score: 6.2516: : 39iter [00:05, 11.90iter/s]
Best score: 6.2516: : 40iter [00:05, 11.90iter/s]
Best score: 6.2516: : 41iter [00:05, 11.74iter/s]
Best score: 6.2516: : 41iter [00:05, 11.74iter/s]
Best score: 6.2516: : 42iter [00:05, 11.74iter/s]
Best score: 6.2516: : 43iter [00:05, 11.77iter/s]
Best score: 6.2516: : 43iter [00:05, 11.77iter/s]
Best score: 6.2516: : 44iter [00:05, 11.77iter/s]
Best score: 6.2516: : 45iter [00:05, 11.81iter/s]
Best score: 6.2516: : 45iter [00:05, 11.81iter/s]
Best score: 6.2516: : 46iter [00:05, 11.81iter/s]
Best score: 6.2516: : 47iter [00:05, 11.86iter/s]
Best score: 6.2516: : 47iter [00:05, 11.86iter/s]
Best score: 6.2516: : 48iter [00:06, 11.86iter/s]
Best score: 6.2516: : 49iter [00:06, 11.91iter/s]
[ITER 50] Best: 6.2516
[PARAMS] Current best parameters:
  fx: 530.7823
  fy: 530.7823
  px: 1035.0000
  py: 763.0000
  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: 6.2516: : 49iter [00:06, 11.91iter/s]
Best score: 6.2516: : 50iter [00:06, 11.91iter/s]
Best score: 6.2516: : 51iter [00:06, 11.78iter/s]
Best score: 6.2516: : 51iter [00:06, 11.78iter/s]
Best score: 6.2516: : 52iter [00:06, 11.78iter/s]
Best score: 6.2516: : 53iter [00:06, 11.80iter/s]
Best score: 6.2516: : 53iter [00:06, 11.80iter/s]
Best score: 6.2516: : 54iter [00:06, 11.80iter/s]
Best score: 6.2516: : 55iter [00:06, 11.90iter/s]
Best score: 6.2516: : 55iter [00:06, 11.90iter/s]
Best score: 6.2516: : 56iter [00:06, 11.90iter/s]
Best score: 6.2516: : 57iter [00:06, 11.97iter/s]
Best score: 6.2516: : 57iter [00:06, 11.97iter/s]
Best score: 6.2516: : 58iter [00:06, 11.97iter/s]
Best score: 6.2516: : 59iter [00:06, 12.01iter/s]
Best score: 6.2516: : 59iter [00:06, 12.01iter/s]
Best score: 6.2516: : 60iter [00:07, 12.01iter/s]
Best score: 6.2516: : 61iter [00:07, 11.86iter/s]
Best score: 6.2516: : 61iter [00:07, 11.86iter/s]
Best score: 6.2516: : 62iter [00:07, 11.86iter/s]
Best score: 6.2516: : 63iter [00:07, 11.97iter/s]
Best score: 6.2516: : 63iter [00:07, 11.97iter/s]
Best score: 6.2516: : 64iter [00:07, 11.97iter/s]
Best score: 6.2516: : 65iter [00:07, 12.03iter/s]
Best score: 6.2516: : 65iter [00:07, 12.03iter/s]
Best score: 6.2516: : 66iter [00:07, 12.03iter/s]
Best score: 6.2516: : 67iter [00:07, 12.05iter/s]
Best score: 6.2516: : 67iter [00:07, 12.05iter/s]
Best score: 6.2516: : 68iter [00:07, 12.05iter/s]
Best score: 6.2516: : 69iter [00:07, 12.07iter/s]
Best score: 6.2516: : 69iter [00:07, 12.07iter/s]
Best score: 6.2516: : 70iter [00:07, 12.07iter/s]
Best score: 6.2516: : 71iter [00:07, 11.93iter/s]
Best score: 6.2516: : 71iter [00:07, 11.93iter/s]
Best score: 6.2516: : 72iter [00:08, 11.93iter/s]
Best score: 6.2516: : 73iter [00:08, 12.00iter/s]
Best score: 6.2516: : 73iter [00:08, 12.00iter/s]
Best score: 6.2516: : 74iter [00:08, 12.00iter/s]
Best score: 6.2516: : 75iter [00:08, 12.05iter/s]
Best score: 6.2516: : 75iter [00:08, 12.05iter/s]
Best score: 6.2516: : 76iter [00:08, 12.05iter/s]
Best score: 6.2516: : 77iter [00:08, 12.07iter/s]
Best score: 6.2516: : 77iter [00:08, 12.07iter/s]
Best score: 6.2516: : 78iter [00:08, 12.07iter/s]
Best score: 6.2516: : 79iter [00:08, 12.09iter/s]
Best score: 3.9094: : 79iter [00:08, 12.09iter/s]
Best score: 3.9094: : 80iter [00:08, 12.09iter/s]
Best score: 3.9094: : 81iter [00:08, 11.90iter/s]
Best score: 3.9094: : 81iter [00:08, 11.90iter/s]
Best score: 3.9094: : 82iter [00:08, 11.90iter/s]
Best score: 3.9094: : 83iter [00:08, 11.96iter/s]
Best score: 3.9094: : 83iter [00:08, 11.96iter/s]
Best score: 3.9094: : 84iter [00:09, 11.96iter/s]
Best score: 3.9094: : 85iter [00:09, 11.99iter/s]
Best score: 3.9094: : 85iter [00:09, 11.99iter/s]
Best score: 3.9094: : 86iter [00:09, 11.99iter/s]
Best score: 3.9094: : 87iter [00:09, 12.02iter/s]
Best score: 3.9094: : 87iter [00:09, 12.02iter/s]
Best score: 3.9094: : 88iter [00:09, 12.02iter/s]
Best score: 3.9094: : 89iter [00:09, 12.08iter/s]
Best score: 3.9094: : 89iter [00:09, 12.08iter/s]
Best score: 3.9094: : 90iter [00:09, 12.08iter/s]
Best score: 3.9094: : 91iter [00:09, 11.89iter/s]
Best score: 3.9094: : 91iter [00:09, 11.89iter/s]
Best score: 3.9094: : 92iter [00:09, 11.89iter/s]
Best score: 3.9094: : 93iter [00:09, 11.96iter/s]
Best score: 3.9094: : 93iter [00:09, 11.96iter/s]
Best score: 3.9094: : 94iter [00:09, 11.96iter/s]
Best score: 3.9094: : 95iter [00:09, 11.99iter/s]
Best score: 3.9094: : 95iter [00:09, 11.99iter/s]
Best score: 3.9094: : 96iter [00:10, 11.99iter/s]
Best score: 3.9094: : 97iter [00:10, 12.06iter/s]
Best score: 3.9094: : 97iter [00:10, 12.06iter/s]
Best score: 3.9094: : 98iter [00:10, 12.06iter/s]
Best score: 3.9094: : 99iter [00:10, 12.11iter/s]
[ITER 100] Best: 3.0021
[PARAMS] Current best parameters:
  fx: 528.7591
  fy: 529.4775
  px: 1036.7759
  py: 766.4866
  k1: 0.04186392
  k2: -0.03350268
  k3: -0.00817255
  k4: 0.00820553
  p1: 0.01073240
  p2: 0.00719938
  p3: -0.01311730
  p4: 0.00959911
  s1: 0.0150
  s2: -0.0183
  s3: 0.0003
  s4: 0.0036
  tilt_x: -0.0221
  tilt_y: -0.0034
  scale: 2.9762
  rotation: -0.3395

Best score: 3.0021: : 99iter [00:10, 12.11iter/s]
Best score: 3.0021: : 100iter [00:10, 12.11iter/s]
Best score: 3.0021: : 101iter [00:10, 10.34iter/s]
Best score: 3.0021: : 101iter [00:10, 10.34iter/s]
Best score: 3.0021: : 102iter [00:10, 10.34iter/s]
Best score: 3.0021: : 103iter [00:10, 10.74iter/s]
Best score: 3.0021: : 103iter [00:10, 10.74iter/s]
Best score: 3.0021: : 104iter [00:10, 10.74iter/s]
Best score: 3.0021: : 105iter [00:10, 11.06iter/s]
Best score: 3.0021: : 105iter [00:10, 11.06iter/s]
Best score: 3.0021: : 106iter [00:11, 11.06iter/s]
Best score: 3.0021: : 107iter [00:11, 11.25iter/s]
Best score: 3.0021: : 107iter [00:11, 11.25iter/s]
Best score: 3.0021: : 108iter [00:11, 11.25iter/s]
Best score: 3.0021: : 109iter [00:11, 11.41iter/s]
Best score: 3.0021: : 109iter [00:11, 11.41iter/s]
Best score: 3.0021: : 110iter [00:11, 11.41iter/s]
Best score: 3.0021: : 111iter [00:11, 11.34iter/s]
Best score: 3.0021: : 111iter [00:11, 11.34iter/s]
Best score: 3.0021: : 112iter [00:11, 11.34iter/s]
Best score: 3.0021: : 113iter [00:11, 11.51iter/s]
Best score: 3.0021: : 113iter [00:11, 11.51iter/s]
Best score: 3.0021: : 114iter [00:11, 11.51iter/s]
Best score: 3.0021: : 115iter [00:11, 11.62iter/s]
Best score: 3.0021: : 115iter [00:11, 11.62iter/s]
Best score: 3.0021: : 116iter [00:11, 11.62iter/s]
Best score: 3.0021: : 117iter [00:11, 11.69iter/s]
Best score: 3.0021: : 117iter [00:11, 11.69iter/s]
Best score: 3.0021: : 118iter [00:12, 11.69iter/s]
Best score: 3.0021: : 119iter [00:12, 11.75iter/s]
Best score: 3.0021: : 119iter [00:12, 11.75iter/s]
Best score: 3.0021: : 120iter [00:12, 11.75iter/s]
Best score: 3.0021: : 121iter [00:12, 11.61iter/s]
Best score: 3.0021: : 121iter [00:12, 11.61iter/s]
Best score: 3.0021: : 122iter [00:12, 11.61iter/s]
Best score: 3.0021: : 123iter [00:12, 11.68iter/s]
Best score: 3.0021: : 123iter [00:12, 11.68iter/s]
Best score: 3.0021: : 124iter [00:12, 11.68iter/s]
Best score: 3.0021: : 125iter [00:12, 11.78iter/s]
Best score: 3.0021: : 125iter [00:12, 11.78iter/s]
Best score: 3.0021: : 126iter [00:12, 11.78iter/s]
Best score: 3.0021: : 127iter [00:12, 11.87iter/s]
Best score: 3.0021: : 127iter [00:12, 11.87iter/s]
Best score: 3.0021: : 128iter [00:12, 11.87iter/s]
Best score: 3.0021: : 129iter [00:12, 11.87iter/s]
Best score: 3.0021: : 129iter [00:12, 11.87iter/s]
Best score: 3.0021: : 130iter [00:13, 11.87iter/s]
Best score: 3.0021: : 131iter [00:13, 11.65iter/s]
Best score: 3.0021: : 131iter [00:13, 11.65iter/s]
Best score: 3.0021: : 132iter [00:13, 11.65iter/s]
Best score: 3.0021: : 133iter [00:13, 11.69iter/s]
Best score: 3.0021: : 133iter [00:13, 11.69iter/s]
Best score: 3.0021: : 134iter [00:13, 11.69iter/s]
Best score: 3.0021: : 135iter [00:13, 11.72iter/s]
Best score: 3.0021: : 135iter [00:13, 11.72iter/s]
Best score: 3.0021: : 136iter [00:13, 11.72iter/s]
Best score: 3.0021: : 137iter [00:13, 11.75iter/s]
Best score: 3.0021: : 137iter [00:13, 11.75iter/s]
Best score: 3.0021: : 138iter [00:13, 11.75iter/s]
Best score: 3.0021: : 139iter [00:13, 11.78iter/s]
Best score: 3.0021: : 139iter [00:13, 11.78iter/s]
Best score: 3.0021: : 140iter [00:13, 11.78iter/s]
Best score: 3.0021: : 141iter [00:13, 11.65iter/s]
Best score: 3.0021: : 141iter [00:13, 11.65iter/s]
Best score: 3.0021: : 142iter [00:14, 11.65iter/s]
Best score: 3.0021: : 143iter [00:14, 11.73iter/s]
Best score: 3.0021: : 143iter [00:14, 11.73iter/s]
Best score: 3.0021: : 144iter [00:14, 11.73iter/s]
Best score: 3.0021: : 145iter [00:14, 11.78iter/s]
Best score: 3.0021: : 145iter [00:14, 11.78iter/s]
Best score: 3.0021: : 146iter [00:14, 11.78iter/s]
Best score: 3.0021: : 147iter [00:14, 11.81iter/s]
Best score: 3.0021: : 147iter [00:14, 11.81iter/s]
Best score: 3.0021: : 148iter [00:14, 11.81iter/s]
Best score: 3.0021: : 149iter [00:14, 11.81iter/s]
[ITER 150] Best: 3.0021
[PARAMS] Current best parameters:
  fx: 528.7591
  fy: 529.4775
  px: 1036.7759
  py: 766.4866
  k1: 0.04186392
  k2: -0.03350268
  k3: -0.00817255
  k4: 0.00820553
  p1: 0.01073240
  p2: 0.00719938
  p3: -0.01311730
  p4: 0.00959911
  s1: 0.0150
  s2: -0.0183
  s3: 0.0003
  s4: 0.0036
  tilt_x: -0.0221
  tilt_y: -0.0034
  scale: 2.9762
  rotation: -0.3395

Best score: 3.0021: : 149iter [00:14, 11.81iter/s]
Best score: 3.0021: : 150iter [00:15, 11.81iter/s]
Best score: 3.0021: : 151iter [00:15,  7.67iter/s]
Best score: 3.0021: : 151iter [00:15,  7.67iter/s]
Best score: 3.0021: : 152iter [00:15,  7.67iter/s]
Best score: 3.0021: : 153iter [00:15,  8.59iter/s]
Best score: 3.0021: : 153iter [00:15,  8.59iter/s]
Best score: 3.0021: : 154iter [00:15,  8.59iter/s]
Best score: 3.0021: : 155iter [00:15,  9.37iter/s]
Best score: 3.0021: : 155iter [00:15,  9.37iter/s]
Best score: 3.0021: : 156iter [00:15,  9.37iter/s]
Best score: 3.0021: : 157iter [00:15, 10.04iter/s]
Best score: 3.0021: : 157iter [00:15, 10.04iter/s]
Best score: 3.0021: : 158iter [00:15, 10.04iter/s]
Best score: 3.0021: : 159iter [00:15, 10.60iter/s]
Best score: 3.0021: : 159iter [00:15, 10.60iter/s]
Best score: 3.0021: : 160iter [00:15, 10.60iter/s]
Best score: 3.0021: : 161iter [00:15, 10.82iter/s]
Best score: 3.0021: : 161iter [00:15, 10.82iter/s]
Best score: 3.0021: : 162iter [00:16, 10.82iter/s]
Best score: 3.0021: : 163iter [00:16, 11.17iter/s]
Best score: 3.0021: : 163iter [00:16, 11.17iter/s]
Best score: 3.0021: : 164iter [00:16, 11.17iter/s]
Best score: 3.0021: : 165iter [00:16, 11.49iter/s]
Best score: 3.0021: : 165iter [00:16, 11.49iter/s]
Best score: 3.0021: : 166iter [00:16, 11.49iter/s]
Best score: 3.0021: : 167iter [00:16, 11.70iter/s]
Best score: 3.0021: : 167iter [00:16, 11.70iter/s]
Best score: 3.0021: : 168iter [00:16, 11.70iter/s]
Best score: 3.0021: : 169iter [00:16, 11.85iter/s]
Best score: 3.0021: : 169iter [00:16, 11.85iter/s]
Best score: 3.0021: : 170iter [00:16, 11.85iter/s]
Best score: 3.0021: : 171iter [00:16, 11.75iter/s]
Best score: 3.0021: : 171iter [00:16, 11.75iter/s]
Best score: 3.0021: : 172iter [00:16, 11.75iter/s]
Best score: 3.0021: : 173iter [00:16, 11.87iter/s]
Best score: 3.0021: : 173iter [00:16, 11.87iter/s]
Best score: 3.0021: : 174iter [00:17, 11.87iter/s]
Best score: 3.0021: : 175iter [00:17, 11.97iter/s]
Best score: 3.0021: : 175iter [00:17, 11.97iter/s]
Best score: 3.0021: : 176iter [00:17, 11.97iter/s]
Best score: 3.0021: : 177iter [00:17, 12.05iter/s]
Best score: 3.0021: : 177iter [00:17, 12.05iter/s]
Best score: 3.0021: : 178iter [00:17, 12.05iter/s]
Best score: 3.0021: : 179iter [00:17, 12.08iter/s]
Best score: 3.0021: : 179iter [00:17, 12.08iter/s]
Best score: 3.0021: : 180iter [00:17, 12.08iter/s]
Best score: 3.0021: : 181iter [00:17,  9.16iter/s]
Best score: 3.0021: : 181iter [00:17,  9.16iter/s]
Best score: 3.0021: : 182iter [00:17,  9.16iter/s]
Best score: 3.0021: : 183iter [00:17,  9.89iter/s]
Best score: 3.0021: : 183iter [00:17,  9.89iter/s]
Best score: 3.0021: : 184iter [00:18,  9.89iter/s]
Best score: 3.0021: : 185iter [00:18, 10.48iter/s]
Best score: 3.0021: : 185iter [00:18, 10.48iter/s]
Best score: 3.0021: : 186iter [00:18, 10.48iter/s]
Best score: 3.0021: : 187iter [00:18, 10.92iter/s]
Best score: 3.0021: : 187iter [00:18, 10.92iter/s]
Best score: 3.0021: : 188iter [00:18, 10.92iter/s]
Best score: 3.0021: : 189iter [00:18, 11.25iter/s]
Best score: 3.0021: : 189iter [00:18, 11.25iter/s]
Best score: 3.0021: : 190iter [00:18, 11.25iter/s]
Best score: 3.0021: : 191iter [00:18, 11.35iter/s]
Best score: 3.0021: : 191iter [00:18, 11.35iter/s]
Best score: 3.0021: : 192iter [00:18, 11.35iter/s]
Best score: 3.0021: : 193iter [00:18, 11.61iter/s]
Best score: 3.0021: : 193iter [00:18, 11.61iter/s]
Best score: 3.0021: : 194iter [00:18, 11.61iter/s]
Best score: 3.0021: : 195iter [00:18, 11.78iter/s]
Best score: 3.0021: : 195iter [00:18, 11.78iter/s]
Best score: 3.0021: : 196iter [00:19, 11.78iter/s]
Best score: 3.0021: : 197iter [00:19, 11.90iter/s]
Best score: 3.0021: : 197iter [00:19, 11.90iter/s]
Best score: 3.0021: : 198iter [00:19, 11.90iter/s]
Best score: 3.0021: : 199iter [00:19, 12.02iter/s]
[ITER 200] Best: 3.0021
[PARAMS] Current best parameters:
  fx: 528.7591
  fy: 529.4775
  px: 1036.7759
  py: 766.4866
  k1: 0.04186392
  k2: -0.03350268
  k3: -0.00817255
  k4: 0.00820553
  p1: 0.01073240
  p2: 0.00719938
  p3: -0.01311730
  p4: 0.00959911
  s1: 0.0150
  s2: -0.0183
  s3: 0.0003
  s4: 0.0036
  tilt_x: -0.0221
  tilt_y: -0.0034
  scale: 2.9762
  rotation: -0.3395

Best score: 3.0021: : 199iter [00:19, 12.02iter/s]
Best score: 3.0021: : 200iter [00:19, 12.02iter/s]
Best score: 3.0021: : 201iter [00:19,  7.70iter/s]
Best score: 3.0021: : 201iter [00:19,  7.70iter/s]
Best score: 3.0021: : 202iter [00:19,  7.70iter/s]
Best score: 3.0021: : 203iter [00:19,  8.67iter/s]
Best score: 3.0021: : 203iter [00:19,  8.67iter/s]
Best score: 3.0021: : 204iter [00:20,  8.67iter/s]
Best score: 3.0021: : 205iter [00:20,  9.46iter/s]
Best score: 3.0021: : 205iter [00:20,  9.46iter/s]
Best score: 3.0021: : 206iter [00:20,  9.46iter/s]
Best score: 3.0021: : 207iter [00:20, 10.15iter/s]
Best score: 3.0021: : 207iter [00:20, 10.15iter/s]
Best score: 3.0021: : 208iter [00:20, 10.15iter/s]
Best score: 3.0021: : 209iter [00:20, 10.70iter/s]
Best score: 3.0021: : 209iter [00:20, 10.70iter/s]
Best score: 3.0021: : 210iter [00:20, 10.70iter/s]
Best score: 3.0021: : 211iter [00:20, 10.95iter/s]
Best score: 3.0021: : 211iter [00:20, 10.95iter/s]
Best score: 3.0021: : 212iter [00:20, 10.95iter/s]
Best score: 3.0021: : 213iter [00:20, 11.27iter/s]
Best score: 3.0021: : 213iter [00:20, 11.27iter/s]
Best score: 3.0021: : 214iter [00:20, 11.27iter/s]
Best score: 3.0021: : 215iter [00:20, 11.54iter/s]
Best score: 3.0021: : 215iter [00:20, 11.54iter/s]
Best score: 3.0021: : 216iter [00:21, 11.54iter/s]
Best score: 3.0021: : 217iter [00:21, 11.73iter/s]
Best score: 3.0021: : 217iter [00:21, 11.73iter/s]
Best score: 3.0021: : 218iter [00:21, 11.73iter/s]
Best score: 3.0021: : 219iter [00:21, 11.85iter/s]
Best score: 3.0021: : 219iter [00:21, 11.85iter/s]
Best score: 3.0021: : 220iter [00:21, 11.85iter/s]
Best score: 3.0021: : 221iter [00:21, 11.73iter/s]
Best score: 3.0021: : 221iter [00:21, 11.73iter/s]
Best score: 3.0021: : 222iter [00:21, 11.73iter/s]
Best score: 3.0021: : 223iter [00:21, 11.82iter/s]
Best score: 3.0021: : 223iter [00:21, 11.82iter/s]
Best score: 3.0021: : 224iter [00:21, 11.82iter/s]
Best score: 3.0021: : 225iter [00:21, 11.94iter/s]
Best score: 3.0021: : 225iter [00:21, 11.94iter/s]
Best score: 3.0021: : 226iter [00:21, 11.94iter/s]
Best score: 3.0021: : 227iter [00:21, 12.03iter/s]
Best score: 3.0021: : 227iter [00:21, 12.03iter/s]
Best score: 3.0021: : 228iter [00:21, 12.03iter/s]
Best score: 3.0021: : 229iter [00:21, 12.11iter/s]
Best score: 3.0021: : 229iter [00:22, 12.11iter/s]
Best score: 3.0021: : 230iter [00:22, 12.11iter/s]
Best score: 3.0021: : 231iter [00:22, 11.90iter/s]
Best score: 3.0021: : 231iter [00:22, 11.90iter/s]
Best score: 3.0021: : 232iter [00:22, 11.90iter/s]
Best score: 3.0021: : 233iter [00:22, 11.94iter/s]
Best score: 3.0021: : 233iter [00:22, 11.94iter/s]
Best score: 3.0021: : 234iter [00:22, 11.94iter/s]
Best score: 3.0021: : 235iter [00:22, 12.00iter/s]
Best score: 3.0021: : 235iter [00:22, 12.00iter/s]
Best score: 3.0021: : 236iter [00:22, 12.00iter/s]
Best score: 3.0021: : 237iter [00:22, 12.06iter/s]
Best score: 3.0021: : 237iter [00:22, 12.06iter/s]
Best score: 3.0021: : 238iter [00:22, 12.06iter/s]
Best score: 3.0021: : 239iter [00:22, 12.12iter/s]
Best score: 3.0021: : 239iter [00:22, 12.12iter/s]
Best score: 3.0021: : 240iter [00:23, 12.12iter/s]
Best score: 3.0021: : 241iter [00:23, 11.90iter/s]
Best score: 3.0021: : 241iter [00:23, 11.90iter/s]
Best score: 3.0021: : 242iter [00:23, 11.90iter/s]
Best score: 3.0021: : 243iter [00:23, 11.95iter/s]
Best score: 3.0021: : 243iter [00:23, 11.95iter/s]
Best score: 3.0021: : 244iter [00:23, 11.95iter/s]
Best score: 3.0021: : 245iter [00:23, 12.01iter/s]
Best score: 3.0021: : 245iter [00:23, 12.01iter/s]
Best score: 3.0021: : 246iter [00:23, 12.01iter/s]
Best score: 3.0021: : 247iter [00:23, 12.05iter/s]
Best score: 3.0021: : 247iter [00:23, 12.05iter/s]
Best score: 3.0021: : 248iter [00:23, 12.05iter/s]
Best score: 3.0021: : 249iter [00:23, 12.12iter/s]
[ITER 250] Best: 3.0021
[PARAMS] Current best parameters:
  fx: 528.7591
  fy: 529.4775
  px: 1036.7759
  py: 766.4866
  k1: 0.04186392
  k2: -0.03350268
  k3: -0.00817255
  k4: 0.00820553
  p1: 0.01073240
  p2: 0.00719938
  p3: -0.01311730
  p4: 0.00959911
  s1: 0.0150
  s2: -0.0183
  s3: 0.0003
  s4: 0.0036
  tilt_x: -0.0221
  tilt_y: -0.0034
  scale: 2.9762
  rotation: -0.3395

Best score: 3.0021: : 249iter [00:23, 12.12iter/s]
Best score: 3.0021: : 250iter [00:24, 12.12iter/s]
Best score: 3.0021: : 251iter [00:24,  7.77iter/s]
Best score: 3.0021: : 251iter [00:24,  7.77iter/s]
Best score: 3.0021: : 252iter [00:24,  7.77iter/s]
Best score: 3.0021: : 253iter [00:24,  8.72iter/s]
Best score: 3.0021: : 253iter [00:24,  8.72iter/s]
Best score: 3.0021: : 254iter [00:24,  8.72iter/s]
Best score: 3.0021: : 255iter [00:24,  9.52iter/s]
Best score: 3.0021: : 255iter [00:24,  9.52iter/s]
Best score: 3.0021: : 256iter [00:24,  9.52iter/s]
Best score: 3.0021: : 257iter [00:24, 10.18iter/s]
Best score: 3.0021: : 257iter [00:24, 10.18iter/s]
Best score: 3.0021: : 258iter [00:24, 10.18iter/s]
Best score: 3.0021: : 259iter [00:24, 10.74iter/s]
Best score: 1.9839: : 259iter [00:24, 10.74iter/s]
Best score: 1.9839: : 260iter [00:24, 10.74iter/s]
Best score: 1.9839: : 261iter [00:24, 10.96iter/s]
Best score: 1.9839: : 261iter [00:25, 10.96iter/s]
Best score: 1.9839: : 262iter [00:25, 10.96iter/s]
Best score: 1.9839: : 263iter [00:25, 11.27iter/s]
Best score: 1.9839: : 263iter [00:25, 11.27iter/s]
Best score: 1.9839: : 264iter [00:25, 11.27iter/s]
Best score: 1.9839: : 265iter [00:25, 11.51iter/s]
Best score: 1.9839: : 265iter [00:25, 11.51iter/s]
Best score: 1.9839: : 266iter [00:25, 11.51iter/s]
Best score: 1.9839: : 267iter [00:25, 11.71iter/s]
Best score: 1.9839: : 267iter [00:25, 11.71iter/s]
Best score: 1.9839: : 268iter [00:25, 11.71iter/s]
Best score: 1.9839: : 269iter [00:25, 11.87iter/s]
Best score: 1.9839: : 269iter [00:25, 11.87iter/s]
Best score: 1.9839: : 270iter [00:25, 11.87iter/s]
Best score: 1.9839: : 271iter [00:25, 11.75iter/s]
Best score: 1.9839: : 271iter [00:25, 11.75iter/s]
Best score: 1.9839: : 272iter [00:25, 11.75iter/s]
Best score: 1.9839: : 273iter [00:25, 11.84iter/s]
Best score: 1.9839: : 273iter [00:26, 11.84iter/s]
Best score: 1.9839: : 274iter [00:26, 11.84iter/s]
Best score: 1.9839: : 275iter [00:26, 11.91iter/s]
Best score: 1.9839: : 275iter [00:26, 11.91iter/s]
Best score: 1.9839: : 276iter [00:26, 11.91iter/s]
Best score: 1.9839: : 277iter [00:26, 11.94iter/s]
Best score: 1.9839: : 277iter [00:26, 11.94iter/s]
Best score: 1.9839: : 278iter [00:26, 11.94iter/s]
Best score: 1.9839: : 279iter [00:26, 12.04iter/s]
Best score: 1.9839: : 279iter [00:26, 12.04iter/s]
Best score: 1.9839: : 280iter [00:26, 12.04iter/s]
Best score: 1.9839: : 281iter [00:26, 11.90iter/s]
Best score: 1.9839: : 281iter [00:26, 11.90iter/s]
Best score: 1.9839: : 282iter [00:26, 11.90iter/s]
Best score: 1.9839: : 283iter [00:26, 12.00iter/s]
Best score: 1.9839: : 283iter [00:26, 12.00iter/s]
Best score: 1.9839: : 284iter [00:26, 12.00iter/s]
Best score: 1.9839: : 285iter [00:26, 12.04iter/s]
Best score: 1.9839: : 285iter [00:27, 12.04iter/s]
Best score: 1.9839: : 286iter [00:27, 12.04iter/s]
Best score: 1.9839: : 287iter [00:27, 12.09iter/s]
Best score: 1.9839: : 287iter [00:27, 12.09iter/s]
Best score: 1.9839: : 288iter [00:27, 12.09iter/s]
Best score: 1.9839: : 289iter [00:27, 12.12iter/s]
Best score: 1.6248: : 289iter [00:27, 12.12iter/s]
Best score: 1.6248: : 290iter [00:27, 12.12iter/s]
Best score: 1.6248: : 291iter [00:27, 11.89iter/s]
Best score: 1.6248: : 291iter [00:27, 11.89iter/s]
Best score: 1.6248: : 292iter [00:27, 11.89iter/s]
Best score: 1.6248: : 293iter [00:27, 11.98iter/s]
Best score: 1.6248: : 293iter [00:27, 11.98iter/s]
Best score: 1.6248: : 294iter [00:27, 11.98iter/s]
Best score: 1.6248: : 295iter [00:27, 12.06iter/s]
Best score: 1.6248: : 295iter [00:27, 12.06iter/s]
Best score: 1.6248: : 296iter [00:27, 12.06iter/s]
Best score: 1.6248: : 297iter [00:27, 12.10iter/s]
Best score: 1.6248: : 297iter [00:28, 12.10iter/s]
Best score: 1.6248: : 298iter [00:28, 12.10iter/s]
Best score: 1.6248: : 299iter [00:28, 12.07iter/s]
[ITER 300] Best: 1.2899
[PARAMS] Current best parameters:
  fx: 546.7169
  fy: 547.5064
  px: 1034.7341
  py: 765.6610
  k1: 0.01326485
  k2: -0.02521672
  k3: 0.00055483
  k4: 0.00265956
  p1: 0.02330856
  p2: 0.01823831
  p3: -0.02058376
  p4: 0.00599937
  s1: 0.0211
  s2: -0.0194
  s3: -0.0152
  s4: 0.0085
  tilt_x: -0.0486
  tilt_y: 0.0309
  scale: 2.9651
  rotation: -0.4746

Best score: 1.2899: : 299iter [00:28, 12.07iter/s]
Best score: 1.2899: : 300iter [00:28, 12.07iter/s]
Best score: 1.2899: : 301iter [00:28,  7.76iter/s]
Best score: 1.2899: : 301iter [00:28,  7.76iter/s]
Best score: 1.2899: : 302iter [00:28,  7.76iter/s]
Best score: 1.2899: : 303iter [00:28,  8.70iter/s]
Best score: 1.2899: : 303iter [00:28,  8.70iter/s]
Best score: 1.2899: : 304iter [00:28,  8.70iter/s]
Best score: 1.2899: : 305iter [00:28,  9.49iter/s]
Best score: 1.2899: : 305iter [00:29,  9.49iter/s]
Best score: 1.2899: : 306iter [00:29,  9.49iter/s]
Best score: 1.2899: : 307iter [00:29, 10.10iter/s]
Best score: 1.2899: : 307iter [00:29, 10.10iter/s]
Best score: 1.2899: : 308iter [00:29, 10.10iter/s]
Best score: 1.2899: : 309iter [00:29, 10.60iter/s]
Best score: 1.0528: : 309iter [00:29, 10.60iter/s]
Best score: 1.0528: : 310iter [00:29, 10.60iter/s]
Best score: 1.0528: : 311iter [00:29, 10.84iter/s]
Best score: 1.0528: : 311iter [00:29, 10.84iter/s]
Best score: 1.0528: : 312iter [00:29, 10.84iter/s]
Best score: 1.0528: : 313iter [00:29, 11.17iter/s]
Best score: 1.0528: : 313iter [00:29, 11.17iter/s]
Best score: 1.0528: : 314iter [00:29, 11.17iter/s]
Best score: 1.0528: : 315iter [00:29, 11.46iter/s]
Best score: 1.0528: : 315iter [00:29, 11.46iter/s]
Best score: 1.0528: : 316iter [00:29, 11.46iter/s]
Best score: 1.0528: : 317iter [00:29, 11.67iter/s]
Best score: 1.0528: : 317iter [00:30, 11.67iter/s]
Best score: 1.0528: : 318iter [00:30, 11.67iter/s]
Best score: 1.0528: : 319iter [00:30, 11.82iter/s]
Best score: 0.7633: : 319iter [00:30, 11.82iter/s]
Best score: 0.7633: : 320iter [00:30, 11.82iter/s]
Best score: 0.7633: : 321iter [00:30, 11.71iter/s]
Best score: 0.7633: : 321iter [00:30, 11.71iter/s]
Best score: 0.7633: : 322iter [00:30, 11.71iter/s]
Best score: 0.7633: : 323iter [00:30, 11.85iter/s]
Best score: 0.7633: : 323iter [00:30, 11.85iter/s]
Best score: 0.7633: : 324iter [00:30, 11.85iter/s]
Best score: 0.7633: : 325iter [00:30, 11.97iter/s]
Best score: 0.7633: : 325iter [00:30, 11.97iter/s]
Best score: 0.7633: : 326iter [00:30, 11.97iter/s]
Best score: 0.7633: : 327iter [00:30, 12.06iter/s]
Best score: 0.7633: : 327iter [00:30, 12.06iter/s]
Best score: 0.7633: : 328iter [00:30, 12.06iter/s]
Best score: 0.7633: : 329iter [00:30, 12.12iter/s]
Best score: 0.7001: : 329iter [00:31, 12.12iter/s]
Best score: 0.7001: : 330iter [00:31, 12.12iter/s]
Best score: 0.7001: : 331iter [00:31, 11.94iter/s]
Best score: 0.7001: : 331iter [00:31, 11.94iter/s]
Best score: 0.7001: : 332iter [00:31, 11.94iter/s]
Best score: 0.7001: : 333iter [00:31, 12.01iter/s]
Best score: 0.7001: : 333iter [00:31, 12.01iter/s]
Best score: 0.7001: : 334iter [00:31, 12.01iter/s]
Best score: 0.7001: : 335iter [00:31, 12.05iter/s]
Best score: 0.7001: : 335iter [00:31, 12.05iter/s]
Best score: 0.7001: : 336iter [00:31, 12.05iter/s]
Best score: 0.7001: : 337iter [00:31, 12.06iter/s]
Best score: 0.7001: : 337iter [00:31, 12.06iter/s]
Best score: 0.7001: : 338iter [00:31, 12.06iter/s]
Best score: 0.7001: : 339iter [00:31, 12.10iter/s]
Best score: 0.5740: : 339iter [00:31, 12.10iter/s]
Best score: 0.5740: : 340iter [00:31, 12.10iter/s]
Best score: 0.5740: : 341iter [00:31, 11.93iter/s]
Best score: 0.5740: : 341iter [00:32, 11.93iter/s]
Best score: 0.5740: : 342iter [00:32, 11.93iter/s]
Best score: 0.5740: : 343iter [00:32, 12.01iter/s]
Best score: 0.5740: : 343iter [00:32, 12.01iter/s]
Best score: 0.5740: : 344iter [00:32, 12.01iter/s]
Best score: 0.5740: : 345iter [00:32, 12.08iter/s]
Best score: 0.5740: : 345iter [00:32, 12.08iter/s]
Best score: 0.5740: : 346iter [00:32, 12.08iter/s]
Best score: 0.5740: : 347iter [00:32, 12.11iter/s]
Best score: 0.5740: : 347iter [00:32, 12.11iter/s]
Best score: 0.5740: : 348iter [00:32, 12.11iter/s]
Best score: 0.5740: : 349iter [00:32, 12.15iter/s]
[ITER 350] Best: 0.5740
[PARAMS] Current best parameters:
  fx: 538.2409
  fy: 539.2447
  px: 1031.0413
  py: 760.1248
  k1: 0.00231711
  k2: -0.03022444
  k3: 0.02552937
  k4: -0.00700936

Best score: 0.5740: : 349iter [00:32, 12.15iter/s]  p1: 0.01173799
  p2: -0.01455891
  p3: -0.01592805
  p4: 0.00069777
  s1: 0.0306
  s2: -0.0060
  s3: -0.0051
  s4: 0.0033
  tilt_x: -0.0540
  tilt_y: -0.0229
  scale: 3.0176
  rotation: -0.5481

Best score: 0.5740: : 350iter [00:33, 12.15iter/s]
Best score: 0.5740: : 351iter [00:33,  7.76iter/s]
Best score: 0.5740: : 351iter [00:33,  7.76iter/s]
Best score: 0.5740: : 352iter [00:33,  7.76iter/s]
Best score: 0.5740: : 353iter [00:33,  8.71iter/s]
Best score: 0.5740: : 353iter [00:33,  8.71iter/s]
Best score: 0.5740: : 354iter [00:33,  8.71iter/s]
Best score: 0.5740: : 355iter [00:33,  9.53iter/s]
Best score: 0.5740: : 355iter [00:33,  9.53iter/s]
Best score: 0.5740: : 356iter [00:33,  9.53iter/s]
Best score: 0.5740: : 357iter [00:33, 10.21iter/s]
Best score: 0.5740: : 357iter [00:33, 10.21iter/s]
Best score: 0.5740: : 358iter [00:33, 10.21iter/s]
Best score: 0.5740: : 359iter [00:33, 10.72iter/s]
Best score: 0.5267: : 359iter [00:33, 10.72iter/s]
Best score: 0.5267: : 360iter [00:33, 10.72iter/s]
Best score: 0.5267: : 361iter [00:33, 10.96iter/s]
Best score: 0.5267: : 361iter [00:33, 10.96iter/s]
Best score: 0.5267: : 362iter [00:34, 10.96iter/s]
Best score: 0.5267: : 363iter [00:34, 11.30iter/s]
Best score: 0.5267: : 363iter [00:34, 11.30iter/s]
Best score: 0.5267: : 364iter [00:34, 11.30iter/s]
Best score: 0.5267: : 365iter [00:34, 11.56iter/s]
Best score: 0.5267: : 365iter [00:34, 11.56iter/s]
Best score: 0.5267: : 366iter [00:34, 11.56iter/s]
Best score: 0.5267: : 367iter [00:34, 11.75iter/s]
Best score: 0.5267: : 367iter [00:34, 11.75iter/s]
Best score: 0.5267: : 368iter [00:34, 11.75iter/s]
Best score: 0.5267: : 369iter [00:34, 11.88iter/s]
Best score: 0.4575: : 369iter [00:34, 11.88iter/s]
Best score: 0.4575: : 370iter [00:34, 11.88iter/s]
Best score: 0.4575: : 371iter [00:34, 11.78iter/s]
Best score: 0.4575: : 371iter [00:34, 11.78iter/s]
Best score: 0.4575: : 372iter [00:34, 11.78iter/s]
Best score: 0.4575: : 373iter [00:34, 11.91iter/s]
Best score: 0.4575: : 373iter [00:34, 11.91iter/s]
Best score: 0.4575: : 374iter [00:35, 11.91iter/s]
Best score: 0.4575: : 375iter [00:35, 11.98iter/s]
Best score: 0.4575: : 375iter [00:35, 11.98iter/s]
Best score: 0.4575: : 376iter [00:35, 11.98iter/s]
Best score: 0.4575: : 377iter [00:35, 12.05iter/s]
Best score: 0.4575: : 377iter [00:35, 12.05iter/s]
Best score: 0.4575: : 378iter [00:35, 12.05iter/s]
Best score: 0.4575: : 379iter [00:35, 12.08iter/s]
Best score: 0.3994: : 379iter [00:35, 12.08iter/s]
Best score: 0.3994: : 380iter [00:35, 12.08iter/s]
Best score: 0.3994: : 381iter [00:35, 11.91iter/s]
Best score: 0.3994: : 381iter [00:35, 11.91iter/s]
Best score: 0.3994: : 382iter [00:35, 11.91iter/s]
Best score: 0.3994: : 383iter [00:35, 12.01iter/s]
Best score: 0.3994: : 383iter [00:35, 12.01iter/s]
Best score: 0.3994: : 384iter [00:35, 12.01iter/s]
Best score: 0.3994: : 385iter [00:35, 12.05iter/s]
Best score: 0.3994: : 385iter [00:35, 12.05iter/s]
Best score: 0.3994: : 386iter [00:36, 12.05iter/s]
Best score: 0.3994: : 387iter [00:36, 12.10iter/s]
Best score: 0.3994: : 387iter [00:36, 12.10iter/s]
Best score: 0.3994: : 388iter [00:36, 12.10iter/s]
Best score: 0.3994: : 389iter [00:36, 12.13iter/s]
Best score: 0.3875: : 389iter [00:36, 12.13iter/s]
Best score: 0.3875: : 390iter [00:36, 12.13iter/s]
Best score: 0.3875: : 391iter [00:36, 11.89iter/s]
Best score: 0.3875: : 391iter [00:36, 11.89iter/s]
Best score: 0.3875: : 392iter [00:36, 11.89iter/s]
Best score: 0.3875: : 393iter [00:36, 11.99iter/s]
Best score: 0.3875: : 393iter [00:36, 11.99iter/s]
Best score: 0.3875: : 394iter [00:36, 11.99iter/s]
Best score: 0.3875: : 395iter [00:36, 12.00iter/s]
Best score: 0.3875: : 395iter [00:36, 12.00iter/s]
Best score: 0.3875: : 396iter [00:36, 12.00iter/s]
Best score: 0.3875: : 397iter [00:36, 12.05iter/s]
Best score: 0.3875: : 397iter [00:36, 12.05iter/s]
Best score: 0.3875: : 398iter [00:37, 12.05iter/s]
Best score: 0.3875: : 399iter [00:37, 12.09iter/s]
[ITER 400] Best: 0.3293
[PARAMS] Current best parameters:
  fx: 543.3961
  fy: 543.2635
  px: 1031.0887
  py: 765.7281
  k1: 0.00692186
  k2: -0.02749043
  k3: 0.01361816
  k4: -0.00239864
  p1: 0.01871706
  p2: 0.00294990
  p3: -0.01954915
  p4: 0.00833430
  s1: 0.0091
  s2: -0.0046
  s3: 0.0000
  s4: -0.0071
  tilt_x: -0.0390
  tilt_y: 0.0133
  scale: 2.9818
  rotation: -0.5257

Best score: 0.3293: : 399iter [00:37, 12.09iter/s]
Best score: 0.3293: : 400iter [00:37, 12.09iter/s]
Best score: 0.3293: : 401iter [00:37,  7.73iter/s]
Best score: 0.3293: : 401iter [00:37,  7.73iter/s]
Best score: 0.3293: : 402iter [00:37,  7.73iter/s]
Best score: 0.3293: : 403iter [00:37,  8.67iter/s]
Best score: 0.3293: : 403iter [00:37,  8.67iter/s]
Best score: 0.3293: : 404iter [00:37,  8.67iter/s]
Best score: 0.3293: : 405iter [00:37,  9.50iter/s]
Best score: 0.3293: : 405iter [00:37,  9.50iter/s]
Best score: 0.3293: : 406iter [00:38,  9.50iter/s]
Best score: 0.3293: : 407iter [00:38, 10.17iter/s]
Best score: 0.3293: : 407iter [00:38, 10.17iter/s]
Best score: 0.3293: : 408iter [00:38, 10.17iter/s]
Best score: 0.3293: : 409iter [00:38, 10.68iter/s]
Best score: 0.2918: : 409iter [00:38, 10.68iter/s]
Best score: 0.2918: : 410iter [00:38, 10.68iter/s]
Best score: 0.2918: : 411iter [00:38, 10.92iter/s]
Best score: 0.2918: : 411iter [00:38, 10.92iter/s]
Best score: 0.2918: : 412iter [00:38, 10.92iter/s]
Best score: 0.2918: : 413iter [00:38, 11.27iter/s]
Best score: 0.2918: : 413iter [00:38, 11.27iter/s]
Best score: 0.2918: : 414iter [00:38, 11.27iter/s]
Best score: 0.2918: : 415iter [00:38, 11.53iter/s]
Best score: 0.2918: : 415iter [00:38, 11.53iter/s]
Best score: 0.2918: : 416iter [00:38, 11.53iter/s]
Best score: 0.2918: : 417iter [00:38, 11.73iter/s]
Best score: 0.2918: : 417iter [00:38, 11.73iter/s]
Best score: 0.2918: : 418iter [00:38, 11.73iter/s]
Best score: 0.2918: : 419iter [00:38, 11.86iter/s]
Best score: 0.2918: : 419iter [00:39, 11.86iter/s]
Best score: 0.2918: : 420iter [00:39, 11.86iter/s]
Best score: 0.2918: : 421iter [00:39, 11.71iter/s]
Best score: 0.2918: : 421iter [00:39, 11.71iter/s]
Best score: 0.2918: : 422iter [00:39, 11.71iter/s]
Best score: 0.2918: : 423iter [00:39, 11.87iter/s]
Best score: 0.2918: : 423iter [00:39, 11.87iter/s]
Best score: 0.2918: : 424iter [00:39, 11.87iter/s]
Best score: 0.2918: : 425iter [00:39, 11.94iter/s]
Best score: 0.2918: : 425iter [00:39, 11.94iter/s]
Best score: 0.2918: : 426iter [00:39, 11.94iter/s]
Best score: 0.2918: : 427iter [00:39, 12.03iter/s]
Best score: 0.2918: : 427iter [00:39, 12.03iter/s]
Best score: 0.2918: : 428iter [00:39, 12.03iter/s]
Best score: 0.2918: : 429iter [00:39, 12.04iter/s]
Best score: 0.2758: : 429iter [00:39, 12.04iter/s]
Best score: 0.2758: : 430iter [00:40, 12.04iter/s]
Best score: 0.2758: : 431iter [00:40, 11.85iter/s]
Best score: 0.2758: : 431iter [00:40, 11.85iter/s]
Best score: 0.2758: : 432iter [00:40, 11.85iter/s]
Best score: 0.2758: : 433iter [00:40, 11.93iter/s]
Best score: 0.2758: : 433iter [00:40, 11.93iter/s]
Best score: 0.2758: : 434iter [00:40, 11.93iter/s]
Best score: 0.2758: : 435iter [00:40, 11.97iter/s]
Best score: 0.2758: : 435iter [00:40, 11.97iter/s]
Best score: 0.2758: : 436iter [00:40, 11.97iter/s]
Best score: 0.2758: : 437iter [00:40, 12.04iter/s]
Best score: 0.2758: : 437iter [00:40, 12.04iter/s]
Best score: 0.2758: : 438iter [00:40, 12.04iter/s]
Best score: 0.2758: : 439iter [00:40, 12.09iter/s]
Best score: 0.2758: : 439iter [00:40, 12.09iter/s]
Best score: 0.2758: : 440iter [00:40, 12.09iter/s]
Best score: 0.2758: : 441iter [00:40, 11.92iter/s]
Best score: 0.2758: : 441iter [00:40, 11.92iter/s]
Best score: 0.2758: : 442iter [00:41, 11.92iter/s]
Best score: 0.2758: : 443iter [00:41, 11.99iter/s]
Best score: 0.2758: : 443iter [00:41, 11.99iter/s]
Best score: 0.2758: : 444iter [00:41, 11.99iter/s]
Best score: 0.2758: : 445iter [00:41, 12.01iter/s]
Best score: 0.2758: : 445iter [00:41, 12.01iter/s]
Best score: 0.2758: : 446iter [00:41, 12.01iter/s]
Best score: 0.2758: : 447iter [00:41, 12.06iter/s]
Best score: 0.2758: : 447iter [00:41, 12.06iter/s]
Best score: 0.2758: : 448iter [00:41, 12.06iter/s]
Best score: 0.2758: : 449iter [00:41, 12.09iter/s]
[ITER 450] Best: 0.2757
[PARAMS] Current best parameters:
  fx: 555.7457
  fy: 556.2119
  px: 1029.9594
  py: 760.9048
  k1: -0.02930345
  k2: -0.00033373
  k3: 0.00452348
  k4: -0.00148215
  p1: 0.01090520
  p2: -0.01184286
  p3: -0.01026337
  p4: 0.00178047
  s1: 0.0196
  s2: -0.0026
  s3: -0.0071
  s4: 0.0009
  tilt_x: -0.0482
  tilt_y: -0.0096
  scale: 3.0133
  rotation: -0.4872

Best score: 0.2757: : 449iter [00:41, 12.09iter/s]
Best score: 0.2757: : 450iter [00:41, 12.09iter/s]
Best score: 0.2757: : 451iter [00:41,  7.73iter/s]
Best score: 0.2757: : 451iter [00:42,  7.73iter/s]
Best score: 0.2757: : 452iter [00:42,  7.73iter/s]
Best score: 0.2757: : 453iter [00:42,  8.68iter/s]
Best score: 0.2757: : 453iter [00:42,  8.68iter/s]
Best score: 0.2757: : 454iter [00:42,  8.68iter/s]
Best score: 0.2757: : 455iter [00:42,  9.50iter/s]
Best score: 0.2757: : 455iter [00:42,  9.50iter/s]
Best score: 0.2757: : 456iter [00:42,  9.50iter/s]
Best score: 0.2757: : 457iter [00:42, 10.19iter/s]
Best score: 0.2757: : 457iter [00:42, 10.19iter/s]
Best score: 0.2757: : 458iter [00:42, 10.19iter/s]
Best score: 0.2757: : 459iter [00:42, 10.73iter/s]
Best score: 0.2569: : 459iter [00:42, 10.73iter/s]
Best score: 0.2569: : 460iter [00:42, 10.73iter/s]
Best score: 0.2569: : 461iter [00:42, 10.90iter/s]
Best score: 0.2569: : 461iter [00:42, 10.90iter/s]
Best score: 0.2569: : 462iter [00:42, 10.90iter/s]
Best score: 0.2569: : 463iter [00:42, 11.19iter/s]
Best score: 0.2569: : 463iter [00:43, 11.19iter/s]
Best score: 0.2569: : 464iter [00:43, 11.19iter/s]
Best score: 0.2569: : 465iter [00:43, 11.48iter/s]
Best score: 0.2569: : 465iter [00:43, 11.48iter/s]
Best score: 0.2569: : 466iter [00:43, 11.48iter/s]
Best score: 0.2569: : 467iter [00:43, 11.66iter/s]
Best score: 0.2569: : 467iter [00:43, 11.66iter/s]
Best score: 0.2569: : 468iter [00:43, 11.66iter/s]
Best score: 0.2569: : 469iter [00:43, 11.80iter/s]
Best score: 0.2524: : 469iter [00:43, 11.80iter/s]
Best score: 0.2524: : 470iter [00:43, 11.80iter/s]
Best score: 0.2524: : 471iter [00:43, 11.72iter/s]
Best score: 0.2524: : 471iter [00:43, 11.72iter/s]
Best score: 0.2524: : 472iter [00:43, 11.72iter/s]
Best score: 0.2524: : 473iter [00:43, 11.83iter/s]
Best score: 0.2524: : 473iter [00:43, 11.83iter/s]
Best score: 0.2524: : 474iter [00:43, 11.83iter/s]
Best score: 0.2524: : 475iter [00:43, 11.86iter/s]
Best score: 0.2524: : 475iter [00:44, 11.86iter/s]
Best score: 0.2524: : 476iter [00:44, 11.86iter/s]
Best score: 0.2524: : 477iter [00:44, 11.87iter/s]
Best score: 0.2524: : 477iter [00:44, 11.87iter/s]
Best score: 0.2524: : 478iter [00:44, 11.87iter/s]
Best score: 0.2524: : 479iter [00:44, 11.94iter/s]
Best score: 0.2524: : 479iter [00:44, 11.94iter/s]
Best score: 0.2524: : 480iter [00:44, 11.94iter/s]
Best score: 0.2524: : 481iter [00:44, 11.81iter/s]
Best score: 0.2524: : 481iter [00:44, 11.81iter/s]
Best score: 0.2524: : 482iter [00:44, 11.81iter/s]
Best score: 0.2524: : 483iter [00:44, 11.94iter/s]
Best score: 0.2524: : 483iter [00:44, 11.94iter/s]
Best score: 0.2524: : 484iter [00:44, 11.94iter/s]
Best score: 0.2524: : 485iter [00:44, 12.01iter/s]
Best score: 0.2524: : 485iter [00:44, 12.01iter/s]
Best score: 0.2524: : 486iter [00:44, 12.01iter/s]
Best score: 0.2524: : 487iter [00:44, 12.06iter/s]
Best score: 0.2524: : 487iter [00:45, 12.06iter/s]
Best score: 0.2524: : 488iter [00:45, 12.06iter/s]
Best score: 0.2524: : 489iter [00:45, 12.11iter/s]
Best score: 0.2373: : 489iter [00:45, 12.11iter/s]
Best score: 0.2373: : 490iter [00:45, 12.11iter/s]
Best score: 0.2373: : 491iter [00:45, 11.94iter/s]
Best score: 0.2373: : 491iter [00:45, 11.94iter/s]
Best score: 0.2373: : 492iter [00:45, 11.94iter/s]
Best score: 0.2373: : 493iter [00:45, 12.00iter/s]
Best score: 0.2373: : 493iter [00:45, 12.00iter/s]
Best score: 0.2373: : 494iter [00:45, 12.00iter/s]
Best score: 0.2373: : 495iter [00:45, 12.07iter/s]
Best score: 0.2373: : 495iter [00:45, 12.07iter/s]
Best score: 0.2373: : 496iter [00:45, 12.07iter/s]
Best score: 0.2373: : 497iter [00:45, 12.11iter/s]
Best score: 0.2373: : 497iter [00:45, 12.11iter/s]
Best score: 0.2373: : 498iter [00:45, 12.11iter/s]
Best score: 0.2373: : 499iter [00:45, 12.11iter/s]
[ITER 500] Best: 0.2230
[PARAMS] Current best parameters:
  fx: 558.5969
  fy: 558.6856
  px: 1028.7830
  py: 761.9587
  k1: -0.03360243
  k2: 0.00759841
  k3: -0.00191360
  k4: 0.00005190
  p1: 0.00688721
  p2: -0.01519033
  p3: -0.00046663
  p4: -0.00022052
  s1: 0.0115
  s2: 0.0009
  s3: -0.0090
  s4: 0.0006
  tilt_x: -0.0352
  tilt_y: -0.0098
  scale: 3.0029
  rotation: -0.4947

Best score: 0.2230: : 499iter [00:46, 12.11iter/s]
Best score: 0.2230: : 500iter [00:46, 12.11iter/s]
Best score: 0.2230: : 501iter [00:46,  7.76iter/s]
Best score: 0.2230: : 501iter [00:46,  7.76iter/s]
Best score: 0.2230: : 502iter [00:46,  7.76iter/s]
Best score: 0.2230: : 503iter [00:46,  8.71iter/s]
Best score: 0.2230: : 503iter [00:46,  8.71iter/s]
Best score: 0.2230: : 504iter [00:46,  8.71iter/s]
Best score: 0.2230: : 505iter [00:46,  9.48iter/s]
Best score: 0.2230: : 505iter [00:46,  9.48iter/s]
Best score: 0.2230: : 506iter [00:46,  9.48iter/s]
Best score: 0.2230: : 507iter [00:46, 10.15iter/s]
Best score: 0.2230: : 507iter [00:47, 10.15iter/s]
Best score: 0.2230: : 508iter [00:47, 10.15iter/s]
Best score: 0.2230: : 509iter [00:47, 10.69iter/s]
Best score: 0.2230: : 509iter [00:47, 10.69iter/s]
Best score: 0.2230: : 510iter [00:47, 10.69iter/s]
Best score: 0.2230: : 511iter [00:47, 10.92iter/s]
Best score: 0.2230: : 511iter [00:47, 10.92iter/s]
Best score: 0.2230: : 512iter [00:47, 10.92iter/s]
Best score: 0.2230: : 513iter [00:47, 11.27iter/s]
Best score: 0.2230: : 513iter [00:47, 11.27iter/s]
Best score: 0.2230: : 514iter [00:47, 11.27iter/s]
Best score: 0.2230: : 515iter [00:47, 11.54iter/s]
Best score: 0.2230: : 515iter [00:47, 11.54iter/s]
Best score: 0.2230: : 516iter [00:47, 11.54iter/s]
Best score: 0.2230: : 517iter [00:47, 11.72iter/s]
Best score: 0.2230: : 517iter [00:47, 11.72iter/s]
Best score: 0.2230: : 518iter [00:47, 11.72iter/s]
Best score: 0.2230: : 519iter [00:47, 11.82iter/s]
Best score: 0.2220: : 519iter [00:48, 11.82iter/s]
Best score: 0.2220: : 520iter [00:48, 11.82iter/s]
Best score: 0.2220: : 521iter [00:48, 11.69iter/s]
Best score: 0.2220: : 521iter [00:48, 11.69iter/s]
Best score: 0.2220: : 522iter [00:48, 11.69iter/s]
Best score: 0.2220: : 523iter [00:48, 11.85iter/s]
Best score: 0.2220: : 523iter [00:48, 11.85iter/s]
Best score: 0.2220: : 524iter [00:48, 11.85iter/s]
Best score: 0.2220: : 525iter [00:48, 11.94iter/s]
Best score: 0.2220: : 525iter [00:48, 11.94iter/s]
Best score: 0.2220: : 526iter [00:48, 11.94iter/s]
Best score: 0.2220: : 527iter [00:48, 12.03iter/s]
Best score: 0.2220: : 527iter [00:48, 12.03iter/s]
Best score: 0.2220: : 528iter [00:48, 12.03iter/s]
Best score: 0.2220: : 529iter [00:48, 12.10iter/s]
Best score: 0.2124: : 529iter [00:48, 12.10iter/s]
Best score: 0.2124: : 530iter [00:48, 12.10iter/s]
Best score: 0.2124: : 531iter [00:48, 11.91iter/s]
Best score: 0.2124: : 531iter [00:49, 11.91iter/s]
Best score: 0.2124: : 532iter [00:49, 11.91iter/s]
Best score: 0.2124: : 533iter [00:49, 11.94iter/s]
Best score: 0.2124: : 533iter [00:49, 11.94iter/s]
Best score: 0.2124: : 534iter [00:49, 11.94iter/s]
Best score: 0.2124: : 535iter [00:49, 12.03iter/s]
Best score: 0.2124: : 535iter [00:49, 12.03iter/s]
Best score: 0.2124: : 536iter [00:49, 12.03iter/s]
Best score: 0.2124: : 537iter [00:49, 12.09iter/s]
Best score: 0.2124: : 537iter [00:49, 12.09iter/s]
Best score: 0.2124: : 538iter [00:49, 12.09iter/s]
Best score: 0.2124: : 539iter [00:49, 12.13iter/s]
Best score: 0.2124: : 539iter [00:49, 12.13iter/s]
Best score: 0.2124: : 540iter [00:49, 12.13iter/s]
Best score: 0.2124: : 541iter [00:49, 11.96iter/s]
Best score: 0.2124: : 541iter [00:49, 11.96iter/s]
Best score: 0.2124: : 542iter [00:49, 11.96iter/s]
Best score: 0.2124: : 543iter [00:49, 12.03iter/s]
Best score: 0.2124: : 543iter [00:50, 12.03iter/s]
Best score: 0.2124: : 544iter [00:50, 12.03iter/s]
Best score: 0.2124: : 545iter [00:50, 12.08iter/s]
Best score: 0.2124: : 545iter [00:50, 12.08iter/s]
Best score: 0.2124: : 546iter [00:50, 12.08iter/s]
Best score: 0.2124: : 547iter [00:50, 12.12iter/s]
Best score: 0.2124: : 547iter [00:50, 12.12iter/s]
Best score: 0.2124: : 548iter [00:50, 12.12iter/s]
Best score: 0.2124: : 549iter [00:50, 12.15iter/s]
[ITER 550] Best: 0.2119
[PARAMS] Current best parameters:
  fx: 549.3001
  fy: 549.1567
  px: 1032.2097
  py: 763.4354
  k1: -0.01260742
  k2: -0.01415870
  k3: 0.01237496
  k4: -0.00345718
  p1: 0.01506769
  p2: -0.00354641
  p3: -0.01267221
  p4: 0.00183020
  s1: 0.0138
  s2: -0.0008
  s3: -0.0052
  s4: -0.0005
  tilt_x: -0.0434
  tilt_y: -0.0050
  scale: 2.9989
  rotation: -0.5079

Best score: 0.2119: : 549iter [00:50, 12.15iter/s]
Best score: 0.2119: : 550iter [00:50, 12.15iter/s]
Best score: 0.2119: : 551iter [00:50,  7.78iter/s]
Best score: 0.2119: : 551iter [00:50,  7.78iter/s]
Best score: 0.2119: : 552iter [00:51,  7.78iter/s]
Best score: 0.2119: : 553iter [00:51,  8.70iter/s]
Best score: 0.2119: : 553iter [00:51,  8.70iter/s]
Best score: 0.2119: : 554iter [00:51,  8.70iter/s]
Best score: 0.2119: : 555iter [00:51,  9.51iter/s]
Best score: 0.2119: : 555iter [00:51,  9.51iter/s]
Best score: 0.2119: : 556iter [00:51,  9.51iter/s]
Best score: 0.2119: : 557iter [00:51, 10.18iter/s]
Best score: 0.2119: : 557iter [00:51, 10.18iter/s]
Best score: 0.2119: : 558iter [00:51, 10.18iter/s]
Best score: 0.2119: : 559iter [00:51, 10.72iter/s]
Best score: 0.2064: : 559iter [00:51, 10.72iter/s]
Best score: 0.2064: : 560iter [00:51, 10.72iter/s]
Best score: 0.2064: : 561iter [00:51, 10.94iter/s]
Best score: 0.2064: : 561iter [00:51, 10.94iter/s]
Best score: 0.2064: : 562iter [00:51, 10.94iter/s]
Best score: 0.2064: : 563iter [00:51, 11.30iter/s]
Best score: 0.2064: : 563iter [00:51, 11.30iter/s]
Best score: 0.2064: : 564iter [00:52, 11.30iter/s]
Best score: 0.2064: : 565iter [00:52, 11.55iter/s]
Best score: 0.2064: : 565iter [00:52, 11.55iter/s]
Best score: 0.2064: : 566iter [00:52, 11.55iter/s]
Best score: 0.2064: : 567iter [00:52, 11.75iter/s]
Best score: 0.2064: : 567iter [00:52, 11.75iter/s]
Best score: 0.2064: : 568iter [00:52, 11.75iter/s]
Best score: 0.2064: : 569iter [00:52, 11.88iter/s]
Best score: 0.2064: : 569iter [00:52, 11.88iter/s]
Best score: 0.2064: : 570iter [00:52, 11.88iter/s]
Best score: 0.2064: : 571iter [00:52, 11.70iter/s]
Best score: 0.2064: : 571iter [00:52, 11.70iter/s]
Best score: 0.2064: : 572iter [00:52, 11.70iter/s]
Best score: 0.2064: : 573iter [00:52, 11.83iter/s]
Best score: 0.2064: : 573iter [00:52, 11.83iter/s]
Best score: 0.2064: : 574iter [00:52, 11.83iter/s]
Best score: 0.2064: : 575iter [00:52, 11.95iter/s]
Best score: 0.2064: : 575iter [00:52, 11.95iter/s]
Best score: 0.2064: : 576iter [00:53, 11.95iter/s]
Best score: 0.2064: : 577iter [00:53, 11.96iter/s]
Best score: 0.2064: : 577iter [00:53, 11.96iter/s]
Best score: 0.2064: : 578iter [00:53, 11.96iter/s]
Best score: 0.2064: : 579iter [00:53, 11.95iter/s]
Best score: 0.2064: : 579iter [00:53, 11.95iter/s]
Best score: 0.2064: : 580iter [00:53, 11.95iter/s]
Best score: 0.2064: : 581iter [00:53, 11.81iter/s]
Best score: 0.2064: : 581iter [00:53, 11.81iter/s]
Best score: 0.2064: : 582iter [00:53, 11.81iter/s]
Best score: 0.2064: : 583iter [00:53, 11.93iter/s]
Best score: 0.2064: : 583iter [00:53, 11.93iter/s]
Best score: 0.2064: : 584iter [00:53, 11.93iter/s]
Best score: 0.2064: : 585iter [00:53, 11.97iter/s]
Best score: 0.2064: : 585iter [00:53, 11.97iter/s]
Best score: 0.2064: : 586iter [00:53, 11.97iter/s]
Best score: 0.2064: : 587iter [00:53, 12.03iter/s]
Best score: 0.2064: : 587iter [00:53, 12.03iter/s]
Best score: 0.2064: : 588iter [00:54, 12.03iter/s]
Best score: 0.2064: : 589iter [00:54, 12.06iter/s]
Best score: 0.2064: : 589iter [00:54, 12.06iter/s]
Best score: 0.2064: : 590iter [00:54, 12.06iter/s]
Best score: 0.2064: : 591iter [00:54, 11.91iter/s]
Best score: 0.2064: : 591iter [00:54, 11.91iter/s]
Best score: 0.2064: : 592iter [00:54, 11.91iter/s]
Best score: 0.2064: : 593iter [00:54, 11.96iter/s]
Best score: 0.2064: : 593iter [00:54, 11.96iter/s]
Best score: 0.2064: : 594iter [00:54, 11.96iter/s]
Best score: 0.2064: : 595iter [00:54, 12.02iter/s]
Best score: 0.2064: : 595iter [00:54, 12.02iter/s]
Best score: 0.2064: : 596iter [00:54, 12.02iter/s]
Best score: 0.2064: : 597iter [00:54, 12.00iter/s]
Best score: 0.2064: : 597iter [00:54, 12.00iter/s]
Best score: 0.2064: : 598iter [00:54, 12.00iter/s]
Best score: 0.2064: : 599iter [00:54, 12.07iter/s]
[ITER 600] Best: 0.2061
[PARAMS] Current best parameters:
  fx: 548.7086
  fy: 548.4523
  px: 1033.3153
  py: 765.4641
  k1: -0.00497926
  k2: -0.02425314
  k3: 0.01704137
  k4: -0.00409691
  p1: 0.01813222
  p2: 0.00195764
  p3: -0.01425170
  p4: 0.00257544
  s1: 0.0130
  s2: -0.0021
  s3: -0.0027
  s4: -0.0024
  tilt_x: -0.0400
  tilt_y: 0.0015
  scale: 2.9922
  rotation: -0.4989

Best score: 0.2061: : 599iter [00:54, 12.07iter/s]
Best score: 0.2061: : 600iter [00:55, 12.07iter/s]
Best score: 0.2061: : 601iter [00:55,  7.76iter/s]
Best score: 0.2061: : 601iter [00:55,  7.76iter/s]
Best score: 0.2061: : 602iter [00:55,  7.76iter/s]
Best score: 0.2061: : 603iter [00:55,  8.71iter/s]
Best score: 0.2061: : 603iter [00:55,  8.71iter/s]
Best score: 0.2061: : 604iter [00:55,  8.71iter/s]
Best score: 0.2061: : 605iter [00:55,  9.52iter/s]
Best score: 0.2061: : 605iter [00:55,  9.52iter/s]
Best score: 0.2061: : 606iter [00:55,  9.52iter/s]
Best score: 0.2061: : 607iter [00:55, 10.19iter/s]
Best score: 0.2061: : 607iter [00:55, 10.19iter/s]
Best score: 0.2061: : 608iter [00:56, 10.19iter/s]
Best score: 0.2061: : 609iter [00:56, 10.72iter/s]
Best score: 0.2045: : 609iter [00:56, 10.72iter/s]
Best score: 0.2045: : 610iter [00:56, 10.72iter/s]
Best score: 0.2045: : 611iter [00:56, 10.97iter/s]
Best score: 0.2045: : 611iter [00:56, 10.97iter/s]
Best score: 0.2045: : 612iter [00:56, 10.97iter/s]
Best score: 0.2045: : 613iter [00:56, 11.32iter/s]
Best score: 0.2045: : 613iter [00:56, 11.32iter/s]
Best score: 0.2045: : 614iter [00:56, 11.32iter/s]
Best score: 0.2045: : 615iter [00:56, 11.58iter/s]
Best score: 0.2045: : 615iter [00:56, 11.58iter/s]
Best score: 0.2045: : 616iter [00:56, 11.58iter/s]
Best score: 0.2045: : 617iter [00:56, 11.76iter/s]
Best score: 0.2045: : 617iter [00:56, 11.76iter/s]
Best score: 0.2045: : 618iter [00:56, 11.76iter/s]
Best score: 0.2045: : 619iter [00:56, 11.90iter/s]
Best score: 0.2018: : 619iter [00:56, 11.90iter/s]
Best score: 0.2018: : 620iter [00:57, 11.90iter/s]
Best score: 0.2018: : 621iter [00:57, 11.78iter/s]
Best score: 0.2018: : 621iter [00:57, 11.78iter/s]
Best score: 0.2018: : 622iter [00:57, 11.78iter/s]
Best score: 0.2018: : 623iter [00:57, 11.93iter/s]
Best score: 0.2018: : 623iter [00:57, 11.93iter/s]
Best score: 0.2018: : 624iter [00:57, 11.93iter/s]
Best score: 0.2018: : 625iter [00:57, 12.02iter/s]
Best score: 0.2018: : 625iter [00:57, 12.02iter/s]
Best score: 0.2018: : 626iter [00:57, 12.02iter/s]
Best score: 0.2018: : 627iter [00:57, 12.08iter/s]
Best score: 0.2018: : 627iter [00:57, 12.08iter/s]
Best score: 0.2018: : 628iter [00:57, 12.08iter/s]
Best score: 0.2018: : 629iter [00:57, 12.02iter/s]
Best score: 0.1987: : 629iter [00:57, 12.02iter/s]
Best score: 0.1987: : 630iter [00:57, 12.02iter/s]
Best score: 0.1987: : 631iter [00:57, 11.87iter/s]
Best score: 0.1987: : 631iter [00:57, 11.87iter/s]
Best score: 0.1987: : 632iter [00:58, 11.87iter/s]
Best score: 0.1987: : 633iter [00:58, 11.96iter/s]
Best score: 0.1987: : 633iter [00:58, 11.96iter/s]
Best score: 0.1987: : 634iter [00:58, 11.96iter/s]
Best score: 0.1987: : 635iter [00:58, 12.04iter/s]
Best score: 0.1987: : 635iter [00:58, 12.04iter/s]
Best score: 0.1987: : 636iter [00:58, 12.04iter/s]
Best score: 0.1987: : 637iter [00:58, 12.10iter/s]
Best score: 0.1987: : 637iter [00:58, 12.10iter/s]
Best score: 0.1987: : 638iter [00:58, 12.10iter/s]
Best score: 0.1987: : 639iter [00:58, 12.15iter/s]
Best score: 0.1987: : 639iter [00:58, 12.15iter/s]
Best score: 0.1987: : 640iter [00:58, 12.15iter/s]
Best score: 0.1987: : 641iter [00:58, 11.98iter/s]
Best score: 0.1987: : 641iter [00:58, 11.98iter/s]
Best score: 0.1987: : 642iter [00:58, 11.98iter/s]
Best score: 0.1987: : 643iter [00:58, 12.05iter/s]
Best score: 0.1987: : 643iter [00:58, 12.05iter/s]
Best score: 0.1987: : 644iter [00:59, 12.05iter/s]
Best score: 0.1987: : 645iter [00:59, 12.09iter/s]
Best score: 0.1987: : 645iter [00:59, 12.09iter/s]
Best score: 0.1987: : 646iter [00:59, 12.09iter/s]
Best score: 0.1987: : 647iter [00:59, 12.14iter/s]
Best score: 0.1987: : 647iter [00:59, 12.14iter/s]
Best score: 0.1987: : 648iter [00:59, 12.14iter/s]
Best score: 0.1987: : 649iter [00:59, 12.15iter/s]
[ITER 650] Best: 0.1930
[PARAMS] Current best parameters:
  fx: 546.2858
  fy: 545.9548
  px: 1035.5925
  py: 765.3509
  k1: -0.00451079
  k2: -0.02383103
  k3: 0.01851385
  k4: -0.00485633
  p1: 0.02065405
  p2: 0.00555802
  p3: -0.01928487
  p4: 0.00128070
  s1: 0.0170
  s2: -0.0018
  s3: -0.0008
  s4: -0.0014
  tilt_x: -0.0450
  tilt_y: -0.0027
  scale: 2.9994
  rotation: -0.5145

Best score: 0.1930: : 649iter [00:59, 12.15iter/s]
Best score: 0.1930: : 650iter [00:59, 12.15iter/s]
Best score: 0.1930: : 651iter [00:59,  7.78iter/s]
Best score: 0.1930: : 651iter [00:59,  7.78iter/s]
Best score: 0.1930: : 652iter [00:59,  7.78iter/s]
Best score: 0.1930: : 653iter [00:59,  8.74iter/s]
Best score: 0.1930: : 653iter [01:00,  8.74iter/s]
Best score: 0.1930: : 654iter [01:00,  8.74iter/s]
Best score: 0.1930: : 655iter [01:00,  9.56iter/s]
Best score: 0.1930: : 655iter [01:00,  9.56iter/s]
Best score: 0.1930: : 656iter [01:00,  9.56iter/s]
Best score: 0.1930: : 657iter [01:00, 10.24iter/s]
Best score: 0.1930: : 657iter [01:00, 10.24iter/s]
Best score: 0.1930: : 658iter [01:00, 10.24iter/s]
Best score: 0.1930: : 659iter [01:00, 10.77iter/s]
Best score: 0.1930: : 659iter [01:00, 10.77iter/s]
Best score: 0.1930: : 660iter [01:00, 10.77iter/s]
Best score: 0.1930: : 661iter [01:00, 11.00iter/s]
Best score: 0.1930: : 661iter [01:00, 11.00iter/s]
Best score: 0.1930: : 662iter [01:00, 11.00iter/s]
Best score: 0.1930: : 663iter [01:00, 11.35iter/s]
Best score: 0.1930: : 663iter [01:00, 11.35iter/s]
Best score: 0.1930: : 664iter [01:00, 11.35iter/s]
Best score: 0.1930: : 665iter [01:00, 11.61iter/s]
Best score: 0.1930: : 665iter [01:01, 11.61iter/s]
Best score: 0.1930: : 666iter [01:01, 11.61iter/s]
Best score: 0.1930: : 667iter [01:01, 11.76iter/s]
Best score: 0.1930: : 667iter [01:01, 11.76iter/s]
Best score: 0.1930: : 668iter [01:01, 11.76iter/s]
Best score: 0.1930: : 669iter [01:01, 11.91iter/s]
Best score: 0.1906: : 669iter [01:01, 11.91iter/s]
Best score: 0.1906: : 670iter [01:01, 11.91iter/s]
Best score: 0.1906: : 671iter [01:01, 11.79iter/s]
Best score: 0.1906: : 671iter [01:01, 11.79iter/s]
Best score: 0.1906: : 672iter [01:01, 11.79iter/s]
Best score: 0.1906: : 673iter [01:01, 11.93iter/s]
Best score: 0.1906: : 673iter [01:01, 11.93iter/s]
Best score: 0.1906: : 674iter [01:01, 11.93iter/s]
Best score: 0.1906: : 675iter [01:01, 12.02iter/s]
Best score: 0.1906: : 675iter [01:01, 12.02iter/s]
Best score: 0.1906: : 676iter [01:01, 12.02iter/s]
Best score: 0.1906: : 677iter [01:01, 12.08iter/s]
Best score: 0.1906: : 677iter [01:02, 12.08iter/s]
Best score: 0.1906: : 678iter [01:02, 12.08iter/s]
Best score: 0.1906: : 679iter [01:02, 12.11iter/s]
Best score: 0.1906: : 679iter [01:02, 12.11iter/s]
Best score: 0.1906: : 680iter [01:02, 12.11iter/s]
Best score: 0.1906: : 681iter [01:02, 11.94iter/s]
Best score: 0.1906: : 681iter [01:02, 11.94iter/s]
Best score: 0.1906: : 682iter [01:02, 11.94iter/s]
Best score: 0.1906: : 683iter [01:02, 12.02iter/s]
Best score: 0.1906: : 683iter [01:02, 12.02iter/s]
Best score: 0.1906: : 684iter [01:02, 12.02iter/s]
Best score: 0.1906: : 685iter [01:02, 12.09iter/s]
Best score: 0.1906: : 685iter [01:02, 12.09iter/s]
Best score: 0.1906: : 686iter [01:02, 12.09iter/s]
Best score: 0.1906: : 687iter [01:02, 12.12iter/s]
Best score: 0.1906: : 687iter [01:02, 12.12iter/s]
Best score: 0.1906: : 688iter [01:02, 12.12iter/s]
Best score: 0.1906: : 689iter [01:02, 12.12iter/s]
Best score: 0.1880: : 689iter [01:03, 12.12iter/s]
Best score: 0.1880: : 690iter [01:03, 12.12iter/s]
Best score: 0.1880: : 691iter [01:03, 11.90iter/s]
Best score: 0.1880: : 691iter [01:03, 11.90iter/s]
Best score: 0.1880: : 692iter [01:03, 11.90iter/s]
Best score: 0.1880: : 693iter [01:03, 11.98iter/s]
Best score: 0.1880: : 693iter [01:03, 11.98iter/s]
Best score: 0.1880: : 694iter [01:03, 11.98iter/s]
Best score: 0.1880: : 695iter [01:03, 12.07iter/s]
Best score: 0.1880: : 695iter [01:03, 12.07iter/s]
Best score: 0.1880: : 696iter [01:03, 12.07iter/s]
Best score: 0.1880: : 697iter [01:03, 12.14iter/s]
Best score: 0.1880: : 697iter [01:03, 12.14iter/s]
Best score: 0.1880: : 698iter [01:03, 12.14iter/s]
Best score: 0.1880: : 699iter [01:03,  9.54iter/s]
[ITER 700] Best: 0.1876
[PARAMS] Current best parameters:
  fx: 547.4900
  fy: 547.1503
  px: 1035.5570
  py: 764.1761
  k1: -0.01662749
  k2: -0.00616498
  k3: 0.00834691
  k4: -0.00278453
  p1: 0.01861609
  p2: 0.00770295
  p3: -0.01992741
  p4: 0.00280974
  s1: 0.0151
  s2: -0.0029
  s3: 0.0001
  s4: -0.0025
  tilt_x: -0.0465
  tilt_y: 0.0010
  scale: 3.0082
  rotation: -0.5083

Best score: 0.1876: : 699iter [01:04,  9.54iter/s]
Best score: 0.1876: : 700iter [01:04,  9.54iter/s]
Best score: 0.1876: : 701iter [01:04,  6.85iter/s]
Best score: 0.1876: : 701iter [01:04,  6.85iter/s]
Best score: 0.1876: : 702iter [01:04,  6.85iter/s]
Best score: 0.1876: : 703iter [01:04,  7.90iter/s]
Best score: 0.1876: : 703iter [01:04,  7.90iter/s]
Best score: 0.1876: : 704iter [01:04,  7.90iter/s]
Best score: 0.1876: : 705iter [01:04,  8.84iter/s]
Best score: 0.1876: : 705iter [01:04,  8.84iter/s]
Best score: 0.1876: : 706iter [01:04,  8.84iter/s]
Best score: 0.1876: : 707iter [01:04,  9.65iter/s]
Best score: 0.1876: : 707iter [01:04,  9.65iter/s]
Best score: 0.1876: : 708iter [01:05,  9.65iter/s]
Best score: 0.1876: : 709iter [01:05, 10.30iter/s]
Best score: 0.1867: : 709iter [01:05, 10.30iter/s]
Best score: 0.1867: : 710iter [01:05, 10.30iter/s]
Best score: 0.1867: : 711iter [01:05, 10.66iter/s]
Best score: 0.1867: : 711iter [01:05, 10.66iter/s]
Best score: 0.1867: : 712iter [01:05, 10.66iter/s]
Best score: 0.1867: : 713iter [01:05, 11.09iter/s]
Best score: 0.1867: : 713iter [01:05, 11.09iter/s]
Best score: 0.1867: : 714iter [01:05, 11.09iter/s]
Best score: 0.1867: : 715iter [01:05, 11.41iter/s]
Best score: 0.1867: : 715iter [01:05, 11.41iter/s]
Best score: 0.1867: : 716iter [01:05, 11.41iter/s]
Best score: 0.1867: : 717iter [01:05, 11.65iter/s]
Best score: 0.1867: : 717iter [01:05, 11.65iter/s]
Best score: 0.1867: : 718iter [01:05, 11.65iter/s]
Best score: 0.1867: : 719iter [01:05, 11.83iter/s]
Best score: 0.1867: : 719iter [01:05, 11.83iter/s]
Best score: 0.1867: : 720iter [01:06, 11.83iter/s]
Best score: 0.1867: : 721iter [01:06, 11.76iter/s]
Best score: 0.1867: : 721iter [01:06, 11.76iter/s]
Best score: 0.1867: : 722iter [01:06, 11.76iter/s]
Best score: 0.1867: : 723iter [01:06, 11.91iter/s]
Best score: 0.1867: : 723iter [01:06, 11.91iter/s]
Best score: 0.1867: : 724iter [01:06, 11.91iter/s]
Best score: 0.1867: : 725iter [01:06, 11.99iter/s]
Best score: 0.1867: : 725iter [01:06, 11.99iter/s]
Best score: 0.1867: : 726iter [01:06, 11.99iter/s]
Best score: 0.1867: : 727iter [01:06, 12.06iter/s]
Best score: 0.1867: : 727iter [01:06, 12.06iter/s]
Best score: 0.1867: : 728iter [01:06, 12.06iter/s]
Best score: 0.1867: : 729iter [01:06, 12.11iter/s]
Best score: 0.1865: : 729iter [01:06, 12.11iter/s]
Best score: 0.1865: : 730iter [01:06, 12.11iter/s]
Best score: 0.1865: : 731iter [01:06, 11.94iter/s]
Best score: 0.1865: : 731iter [01:06, 11.94iter/s]
Best score: 0.1865: : 732iter [01:07, 11.94iter/s]
Best score: 0.1865: : 733iter [01:07, 12.03iter/s]
Best score: 0.1865: : 733iter [01:07, 12.03iter/s]
Best score: 0.1865: : 734iter [01:07, 12.03iter/s]
Best score: 0.1865: : 735iter [01:07, 12.09iter/s]
Best score: 0.1865: : 735iter [01:07, 12.09iter/s]
Best score: 0.1865: : 736iter [01:07, 12.09iter/s]
Best score: 0.1865: : 737iter [01:07, 12.13iter/s]
Best score: 0.1865: : 737iter [01:07, 12.13iter/s]
Best score: 0.1865: : 738iter [01:07, 12.13iter/s]
Best score: 0.1865: : 739iter [01:07, 12.17iter/s]
Best score: 0.1849: : 739iter [01:07, 12.17iter/s]
Best score: 0.1849: : 740iter [01:07, 12.17iter/s]
Best score: 0.1849: : 741iter [01:07, 11.98iter/s]
Best score: 0.1849: : 741iter [01:07, 11.98iter/s]
Best score: 0.1849: : 742iter [01:07, 11.98iter/s]
Best score: 0.1849: : 743iter [01:07, 12.06iter/s]
Best score: 0.1849: : 743iter [01:07, 12.06iter/s]
Best score: 0.1849: : 744iter [01:08, 12.06iter/s]
Best score: 0.1849: : 745iter [01:08, 12.10iter/s]
Best score: 0.1849: : 745iter [01:08, 12.10iter/s]
Best score: 0.1849: : 746iter [01:08, 12.10iter/s]
Best score: 0.1849: : 747iter [01:08, 12.13iter/s]
Best score: 0.1849: : 747iter [01:08, 12.13iter/s]
Best score: 0.1849: : 748iter [01:08, 12.13iter/s]
Best score: 0.1849: : 749iter [01:08, 12.14iter/s]
[ITER 750] Best: 0.1845
[PARAMS] Current best parameters:
  fx: 548.0372
  fy: 547.7846
  px: 1035.5316
  py: 763.1662
  k1: -0.02431960
  k2: 0.00728833
  k3: -0.00084612
  k4: -0.00059077
  p1: 0.01764439
  p2: 0.00853238
  p3: -0.02000443
  p4: 0.00361438
  s1: 0.0140
  s2: -0.0037
  s3: 0.0004
  s4: -0.0035
  tilt_x: -0.0494
  tilt_y: 0.0028
  scale: 3.0137
  rotation: -0.5150

Best score: 0.1845: : 749iter [01:08, 12.14iter/s]
Best score: 0.1845: : 750iter [01:08, 12.14iter/s]
Best score: 0.1845: : 751iter [01:08,  7.79iter/s]
Best score: 0.1845: : 751iter [01:08,  7.79iter/s]
Best score: 0.1845: : 752iter [01:08,  7.79iter/s]
Best score: 0.1845: : 753iter [01:08,  8.75iter/s]
Best score: 0.1845: : 753iter [01:09,  8.75iter/s]
Best score: 0.1845: : 754iter [01:09,  8.75iter/s]
Best score: 0.1845: : 755iter [01:09,  9.56iter/s]
Best score: 0.1845: : 755iter [01:09,  9.56iter/s]
Best score: 0.1845: : 756iter [01:09,  9.56iter/s]
Best score: 0.1845: : 757iter [01:09, 10.24iter/s]
Best score: 0.1845: : 757iter [01:09, 10.24iter/s]
Best score: 0.1845: : 758iter [01:09, 10.24iter/s]
Best score: 0.1845: : 759iter [01:09, 10.78iter/s]
Best score: 0.1845: : 759iter [01:09, 10.78iter/s]
Best score: 0.1845: : 760iter [01:09, 10.78iter/s]
Best score: 0.1845: : 761iter [01:09, 11.02iter/s]
Best score: 0.1845: : 761iter [01:09, 11.02iter/s]
Best score: 0.1845: : 762iter [01:09, 11.02iter/s]
Best score: 0.1845: : 763iter [01:09, 11.36iter/s]
Best score: 0.1845: : 763iter [01:09, 11.36iter/s]
Best score: 0.1845: : 764iter [01:09, 11.36iter/s]
Best score: 0.1845: : 765iter [01:09, 11.61iter/s]
Best score: 0.1845: : 765iter [01:10, 11.61iter/s]
Best score: 0.1845: : 766iter [01:10, 11.61iter/s]
Best score: 0.1845: : 767iter [01:10, 11.81iter/s]
Best score: 0.1845: : 767iter [01:10, 11.81iter/s]
Best score: 0.1845: : 768iter [01:10, 11.81iter/s]
Best score: 0.1845: : 769iter [01:10, 11.94iter/s]
Best score: 0.1837: : 769iter [01:10, 11.94iter/s]
Best score: 0.1837: : 770iter [01:10, 11.94iter/s]
Best score: 0.1837: : 771iter [01:10, 11.84iter/s]
Best score: 0.1837: : 771iter [01:10, 11.84iter/s]
Best score: 0.1837: : 772iter [01:10, 11.84iter/s]
Best score: 0.1837: : 773iter [01:10, 11.96iter/s]
Best score: 0.1837: : 773iter [01:10, 11.96iter/s]
Best score: 0.1837: : 774iter [01:10, 11.96iter/s]
Best score: 0.1837: : 775iter [01:10, 12.04iter/s]
Best score: 0.1837: : 775iter [01:10, 12.04iter/s]
Best score: 0.1837: : 776iter [01:10, 12.04iter/s]
Best score: 0.1837: : 777iter [01:10, 12.09iter/s]
Best score: 0.1837: : 777iter [01:11, 12.09iter/s]
Best score: 0.1837: : 778iter [01:11, 12.09iter/s]
Best score: 0.1837: : 779iter [01:11, 12.12iter/s]
Best score: 0.1826: : 779iter [01:11, 12.12iter/s]
Best score: 0.1826: : 780iter [01:11, 12.12iter/s]
Best score: 0.1826: : 781iter [01:11, 11.95iter/s]
Best score: 0.1826: : 781iter [01:11, 11.95iter/s]
Best score: 0.1826: : 782iter [01:11, 11.95iter/s]
Best score: 0.1826: : 783iter [01:11, 12.03iter/s]
Best score: 0.1826: : 783iter [01:11, 12.03iter/s]
Best score: 0.1826: : 784iter [01:11, 12.03iter/s]
Best score: 0.1826: : 785iter [01:11, 12.09iter/s]
Best score: 0.1826: : 785iter [01:11, 12.09iter/s]
Best score: 0.1826: : 786iter [01:11, 12.09iter/s]
Best score: 0.1826: : 787iter [01:11, 12.11iter/s]
Best score: 0.1826: : 787iter [01:11, 12.11iter/s]
Best score: 0.1826: : 788iter [01:11, 12.11iter/s]
Best score: 0.1826: : 789iter [01:11, 12.15iter/s]
Best score: 0.1824: : 789iter [01:12, 12.15iter/s]
Best score: 0.1824: : 790iter [01:12, 12.15iter/s]
Best score: 0.1824: : 791iter [01:12, 11.97iter/s]
Best score: 0.1824: : 791iter [01:12, 11.97iter/s]
Best score: 0.1824: : 792iter [01:12, 11.97iter/s]
Best score: 0.1824: : 793iter [01:12, 12.03iter/s]
Best score: 0.1824: : 793iter [01:12, 12.03iter/s]
Best score: 0.1824: : 794iter [01:12, 12.03iter/s]
Best score: 0.1824: : 795iter [01:12, 12.00iter/s]
Best score: 0.1824: : 795iter [01:12, 12.00iter/s]
Best score: 0.1824: : 796iter [01:12, 12.00iter/s]
Best score: 0.1824: : 797iter [01:12, 12.07iter/s]
Best score: 0.1824: : 797iter [01:12, 12.07iter/s]
Best score: 0.1824: : 798iter [01:12, 12.07iter/s]
Best score: 0.1824: : 799iter [01:12, 12.11iter/s]
[ITER 800] Best: 0.1820
[PARAMS] Current best parameters:
  fx: 548.1916
  fy: 547.9602
  px: 1035.0045
  py: 763.2247
  k1: -0.02647324
  k2: 0.01244968
  k3: -0.00503363
  k4: 0.00050310
  p1: 0.01595477
  p2: 0.00781440
  p3: -0.01657907
  p4: 0.00352789
  s1: 0.0110
  s2: -0.0034
  s3: -0.0013
  s4: -0.0030
  tilt_x: -0.0460
  tilt_y: 0.0042
  scale: 3.0130
  rotation: -0.5127

Best score: 0.1820: : 799iter [01:12, 12.11iter/s]
Best score: 0.1820: : 800iter [01:13, 12.11iter/s]
Best score: 0.1820: : 801iter [01:13,  7.79iter/s]
Best score: 0.1820: : 801iter [01:13,  7.79iter/s]
Best score: 0.1820: : 802iter [01:13,  7.79iter/s]
Best score: 0.1820: : 803iter [01:13,  8.72iter/s]
Best score: 0.1820: : 803iter [01:13,  8.72iter/s]
Best score: 0.1820: : 804iter [01:13,  8.72iter/s]
Best score: 0.1820: : 805iter [01:13,  9.55iter/s]
Best score: 0.1820: : 805iter [01:13,  9.55iter/s]
Best score: 0.1820: : 806iter [01:13,  9.55iter/s]
Best score: 0.1820: : 807iter [01:13, 10.22iter/s]
Best score: 0.1820: : 807iter [01:13, 10.22iter/s]
Best score: 0.1820: : 808iter [01:13, 10.22iter/s]
Best score: 0.1820: : 809iter [01:13, 10.74iter/s]
Best score: 0.1820: : 809iter [01:14, 10.74iter/s]
Best score: 0.1820: : 810iter [01:14, 10.74iter/s]
Best score: 0.1820: : 811iter [01:14, 10.96iter/s]
Best score: 0.1820: : 811iter [01:14, 10.96iter/s]
Best score: 0.1820: : 812iter [01:14, 10.96iter/s]
Best score: 0.1820: : 813iter [01:14, 11.25iter/s]
Best score: 0.1820: : 813iter [01:14, 11.25iter/s]
Best score: 0.1820: : 814iter [01:14, 11.25iter/s]
Best score: 0.1820: : 815iter [01:14, 11.53iter/s]
Best score: 0.1820: : 815iter [01:14, 11.53iter/s]
Best score: 0.1820: : 816iter [01:14, 11.53iter/s]
Best score: 0.1820: : 817iter [01:14, 11.73iter/s]
Best score: 0.1820: : 817iter [01:14, 11.73iter/s]
Best score: 0.1820: : 818iter [01:14, 11.73iter/s]
Best score: 0.1820: : 819iter [01:14, 11.82iter/s]
Best score: 0.1820: : 819iter [01:14, 11.82iter/s]
Best score: 0.1820: : 820iter [01:14, 11.82iter/s]
Best score: 0.1820: : 821iter [01:14, 11.70iter/s]
Best score: 0.1820: : 821iter [01:15, 11.70iter/s]
Best score: 0.1820: : 822iter [01:15, 11.70iter/s]
Best score: 0.1820: : 823iter [01:15, 11.75iter/s]
Best score: 0.1820: : 823iter [01:15, 11.75iter/s]
Best score: 0.1820: : 824iter [01:15, 11.75iter/s]
Best score: 0.1820: : 825iter [01:15, 11.81iter/s]
Best score: 0.1820: : 825iter [01:15, 11.81iter/s]
Best score: 0.1820: : 826iter [01:15, 11.81iter/s]
Best score: 0.1820: : 827iter [01:15, 11.92iter/s]
Best score: 0.1820: : 827iter [01:15, 11.92iter/s]
Best score: 0.1820: : 828iter [01:15, 11.92iter/s]
Best score: 0.1820: : 829iter [01:15, 12.03iter/s]
Best score: 0.1818: : 829iter [01:15, 12.03iter/s]
Best score: 0.1818: : 830iter [01:15, 12.03iter/s]
Best score: 0.1818: : 831iter [01:15, 11.89iter/s]
Best score: 0.1818: : 831iter [01:15, 11.89iter/s]
Best score: 0.1818: : 832iter [01:15, 11.89iter/s]
Best score: 0.1818: : 833iter [01:15, 11.92iter/s]
Best score: 0.1818: : 833iter [01:16, 11.92iter/s]
Best score: 0.1818: : 834iter [01:16, 11.92iter/s]
Best score: 0.1818: : 835iter [01:16, 11.99iter/s]
Best score: 0.1818: : 835iter [01:16, 11.99iter/s]
Best score: 0.1818: : 836iter [01:16, 11.99iter/s]
Best score: 0.1818: : 837iter [01:16, 12.06iter/s]
Best score: 0.1818: : 837iter [01:16, 12.06iter/s]
Best score: 0.1818: : 838iter [01:16, 12.06iter/s]
Best score: 0.1818: : 839iter [01:16, 12.10iter/s]
Best score: 0.1813: : 839iter [01:16, 12.10iter/s]
Best score: 0.1813: : 840iter [01:16, 12.10iter/s]
Best score: 0.1813: : 841iter [01:16, 11.94iter/s]
Best score: 0.1813: : 841iter [01:16, 11.94iter/s]
Best score: 0.1813: : 842iter [01:16, 11.94iter/s]
Best score: 0.1813: : 843iter [01:16, 12.01iter/s]
Best score: 0.1813: : 843iter [01:16, 12.01iter/s]
Best score: 0.1813: : 844iter [01:16, 12.01iter/s]
Best score: 0.1813: : 845iter [01:16, 12.04iter/s]
Best score: 0.1813: : 845iter [01:17, 12.04iter/s]
Best score: 0.1813: : 846iter [01:17, 12.04iter/s]
Best score: 0.1813: : 847iter [01:17, 12.11iter/s]
Best score: 0.1813: : 847iter [01:17, 12.11iter/s]
Best score: 0.1813: : 848iter [01:17, 12.11iter/s]
Best score: 0.1813: : 849iter [01:17, 12.06iter/s]
[ITER 850] Best: 0.1813
[PARAMS] Current best parameters:
  fx: 548.7027
  fy: 548.4638
  px: 1035.2666
  py: 763.2297
  k1: -0.02960561
  k2: 0.01801524
  k3: -0.00909274
  k4: 0.00151835
  p1: 0.01461282
  p2: 0.00796272
  p3: -0.01432214
  p4: 0.00296437
  s1: 0.0091
  s2: -0.0031
  s3: -0.0023
  s4: -0.0025
  tilt_x: -0.0433
  tilt_y: 0.0033
  scale: 3.0134
  rotation: -0.5120

Best score: 0.1813: : 849iter [01:17, 12.06iter/s]
Best score: 0.1813: : 850iter [01:17, 12.06iter/s]
Best score: 0.1813: : 851iter [01:17,  7.69iter/s]
Best score: 0.1813: : 851iter [01:17,  7.69iter/s]
Best score: 0.1813: : 852iter [01:17,  7.69iter/s]
Best score: 0.1813: : 853iter [01:17,  8.64iter/s]
Best score: 0.1813: : 853iter [01:17,  8.64iter/s]
Best score: 0.1813: : 854iter [01:18,  8.64iter/s]
Best score: 0.1813: : 855iter [01:18,  9.45iter/s]
Best score: 0.1813: : 855iter [01:18,  9.45iter/s]
Best score: 0.1813: : 856iter [01:18,  9.45iter/s]
Best score: 0.1813: : 857iter [01:18, 10.10iter/s]
Best score: 0.1813: : 857iter [01:18, 10.10iter/s]
Best score: 0.1813: : 858iter [01:18, 10.10iter/s]
Best score: 0.1813: : 859iter [01:18, 10.66iter/s]
Best score: 0.1811: : 859iter [01:18, 10.66iter/s]
Best score: 0.1811: : 860iter [01:18, 10.66iter/s]
Best score: 0.1811: : 861iter [01:18, 10.86iter/s]
Best score: 0.1811: : 861iter [01:18, 10.86iter/s]
Best score: 0.1811: : 862iter [01:18, 10.86iter/s]
Best score: 0.1811: : 863iter [01:18, 11.17iter/s]
Best score: 0.1811: : 863iter [01:18, 11.17iter/s]
Best score: 0.1811: : 864iter [01:18, 11.17iter/s]
Best score: 0.1811: : 865iter [01:18, 11.40iter/s]
Best score: 0.1811: : 865iter [01:18, 11.40iter/s]
Best score: 0.1811: : 866iter [01:19, 11.40iter/s]
Best score: 0.1811: : 867iter [01:19, 11.63iter/s]
Best score: 0.1811: : 867iter [01:19, 11.63iter/s]
Best score: 0.1811: : 868iter [01:19, 11.63iter/s]
Best score: 0.1811: : 869iter [01:19, 11.74iter/s]
Best score: 0.1811: : 869iter [01:19, 11.74iter/s]
Best score: 0.1811: : 870iter [01:19, 11.74iter/s]
Best score: 0.1811: : 871iter [01:19, 11.59iter/s]
Best score: 0.1811: : 871iter [01:19, 11.59iter/s]
Best score: 0.1811: : 872iter [01:19, 11.59iter/s]
Best score: 0.1811: : 873iter [01:19, 11.72iter/s]
Best score: 0.1811: : 873iter [01:19, 11.72iter/s]
Best score: 0.1811: : 874iter [01:19, 11.72iter/s]
Best score: 0.1811: : 875iter [01:19, 11.79iter/s]
Best score: 0.1811: : 875iter [01:19, 11.79iter/s]
Best score: 0.1811: : 876iter [01:19, 11.79iter/s]
Best score: 0.1811: : 877iter [01:19, 11.92iter/s]
Best score: 0.1811: : 877iter [01:19, 11.92iter/s]
Best score: 0.1811: : 878iter [01:20, 11.92iter/s]
Best score: 0.1811: : 879iter [01:20, 11.96iter/s]
Best score: 0.1811: : 879iter [01:20, 11.96iter/s]
Best score: 0.1811: : 880iter [01:20, 11.96iter/s]
Best score: 0.1811: : 881iter [01:20, 11.80iter/s]
Best score: 0.1811: : 881iter [01:20, 11.80iter/s]
Best score: 0.1811: : 882iter [01:20, 11.80iter/s]
Best score: 0.1811: : 883iter [01:20, 11.92iter/s]
Best score: 0.1811: : 883iter [01:20, 11.92iter/s]
Best score: 0.1811: : 884iter [01:20, 11.92iter/s]
Best score: 0.1811: : 885iter [01:20, 12.03iter/s]
Best score: 0.1811: : 885iter [01:20, 12.03iter/s]
Best score: 0.1811: : 886iter [01:20, 12.03iter/s]
Best score: 0.1811: : 887iter [01:20, 12.09iter/s]
Best score: 0.1811: : 887iter [01:20, 12.09iter/s]
Best score: 0.1811: : 888iter [01:20, 12.09iter/s]
Best score: 0.1811: : 889iter [01:20, 12.12iter/s]
Best score: 0.1811: : 889iter [01:21, 12.12iter/s]
Best score: 0.1811: : 890iter [01:21, 12.12iter/s]
Best score: 0.1811: : 891iter [01:21, 11.91iter/s]
Best score: 0.1811: : 891iter [01:21, 11.91iter/s]
Best score: 0.1811: : 892iter [01:21, 11.91iter/s]
Best score: 0.1811: : 893iter [01:21, 12.02iter/s]
Best score: 0.1811: : 893iter [01:21, 12.02iter/s]
Best score: 0.1811: : 894iter [01:21, 12.02iter/s]
Best score: 0.1811: : 895iter [01:21, 12.03iter/s]
Best score: 0.1811: : 895iter [01:21, 12.03iter/s]
Best score: 0.1811: : 896iter [01:21, 12.03iter/s]
Best score: 0.1811: : 897iter [01:21, 12.08iter/s]
Best score: 0.1811: : 897iter [01:21, 12.08iter/s]
Best score: 0.1811: : 898iter [01:21, 12.08iter/s]
Best score: 0.1811: : 899iter [01:21, 12.14iter/s]
[ITER 900] Best: 0.1811
[PARAMS] Current best parameters:
  fx: 548.4675
  fy: 548.2271
  px: 1035.1827
  py: 763.1120
  k1: -0.03008453
  k2: 0.01907445
  k3: -0.00978428
  k4: 0.00168735
  p1: 0.01414502
  p2: 0.00860210
  p3: -0.01427476
  p4: 0.00298809
  s1: 0.0083
  s2: -0.0030
  s3: -0.0023
  s4: -0.0024
  tilt_x: -0.0429
  tilt_y: 0.0051
  scale: 3.0147
  rotation: -0.5125

Best score: 0.1811: : 899iter [01:21, 12.14iter/s]
Best score: 0.1811: : 900iter [01:22, 12.14iter/s]
Best score: 0.1811: : 901iter [01:22,  7.77iter/s]
Best score: 0.1811: : 901iter [01:22,  7.77iter/s]
Best score: 0.1811: : 902iter [01:22,  7.77iter/s]
Best score: 0.1811: : 903iter [01:22,  8.72iter/s]
Best score: 0.1811: : 903iter [01:22,  8.72iter/s]
Best score: 0.1811: : 904iter [01:22,  8.72iter/s]
Best score: 0.1811: : 905iter [01:22,  9.55iter/s]
Best score: 0.1811: : 905iter [01:22,  9.55iter/s]
Best score: 0.1811: : 906iter [01:22,  9.55iter/s]
Best score: 0.1811: : 907iter [01:22, 10.24iter/s]
Best score: 0.1811: : 907iter [01:22, 10.24iter/s]
Best score: 0.1811: : 908iter [01:22, 10.24iter/s]
Best score: 0.1811: : 909iter [01:22, 10.76iter/s]
Best score: 0.1811: : 909iter [01:22, 10.76iter/s]
Best score: 0.1811: : 910iter [01:23, 10.76iter/s]
Best score: 0.1811: : 911iter [01:23, 10.99iter/s]
Best score: 0.1811: : 911iter [01:23, 10.99iter/s]
Best score: 0.1811: : 912iter [01:23, 10.99iter/s]
Best score: 0.1811: : 913iter [01:23, 11.33iter/s]
Best score: 0.1811: : 913iter [01:23, 11.33iter/s]
Best score: 0.1811: : 914iter [01:23, 11.33iter/s]
Best score: 0.1811: : 915iter [01:23, 11.55iter/s]
Best score: 0.1811: : 915iter [01:23, 11.55iter/s]
Best score: 0.1811: : 916iter [01:23, 11.55iter/s]
Best score: 0.1811: : 917iter [01:23, 11.76iter/s]
Best score: 0.1811: : 917iter [01:23, 11.76iter/s]
Best score: 0.1811: : 918iter [01:23, 11.76iter/s]
Best score: 0.1811: : 919iter [01:23, 11.91iter/s]
Best score: 0.1810: : 919iter [01:23, 11.91iter/s]
Best score: 0.1810: : 920iter [01:23, 11.91iter/s]
Best score: 0.1810: : 921iter [01:23, 11.80iter/s]
Best score: 0.1810: : 921iter [01:23, 11.80iter/s]
Best score: 0.1810: : 922iter [01:24, 11.80iter/s]
Best score: 0.1810: : 923iter [01:24, 11.87iter/s]
Best score: 0.1810: : 923iter [01:24, 11.87iter/s]
Best score: 0.1810: : 924iter [01:24, 11.87iter/s]
Best score: 0.1810: : 925iter [01:24, 11.93iter/s]
Best score: 0.1810: : 925iter [01:24, 11.93iter/s]
Best score: 0.1810: : 926iter [01:24, 11.93iter/s]
Best score: 0.1810: : 927iter [01:24, 12.03iter/s]
Best score: 0.1810: : 927iter [01:24, 12.03iter/s]
Best score: 0.1810: : 928iter [01:24, 12.03iter/s]
Best score: 0.1810: : 929iter [01:24, 12.09iter/s]
Best score: 0.1810: : 929iter [01:24, 12.09iter/s]
Best score: 0.1810: : 930iter [01:24, 12.09iter/s]
Best score: 0.1810: : 931iter [01:24, 11.85iter/s]
Best score: 0.1810: : 931iter [01:24, 11.85iter/s]
Best score: 0.1810: : 932iter [01:24, 11.85iter/s]
Best score: 0.1810: : 933iter [01:24, 11.90iter/s]
Best score: 0.1810: : 933iter [01:24, 11.90iter/s]
Best score: 0.1810: : 934iter [01:25, 11.90iter/s]
Best score: 0.1810: : 935iter [01:25, 11.92iter/s]
Best score: 0.1810: : 935iter [01:25, 11.92iter/s]
Best score: 0.1810: : 936iter [01:25, 11.92iter/s]
Best score: 0.1810: : 937iter [01:25, 11.97iter/s]
Best score: 0.1810: : 937iter [01:25, 11.97iter/s]
Best score: 0.1810: : 938iter [01:25, 11.97iter/s]
Best score: 0.1810: : 939iter [01:25, 12.06iter/s]
Best score: 0.1810: : 939iter [01:25, 12.06iter/s]
Best score: 0.1810: : 940iter [01:25, 12.06iter/s]
Best score: 0.1810: : 941iter [01:25, 11.91iter/s]
Best score: 0.1810: : 941iter [01:25, 11.91iter/s]
Best score: 0.1810: : 942iter [01:25, 11.91iter/s]
Best score: 0.1810: : 943iter [01:25, 12.02iter/s]
Best score: 0.1810: : 943iter [01:25, 12.02iter/s]
Best score: 0.1810: : 944iter [01:25, 12.02iter/s]
Best score: 0.1810: : 945iter [01:25, 12.04iter/s]
Best score: 0.1810: : 945iter [01:25, 12.04iter/s]
Best score: 0.1810: : 946iter [01:26, 12.04iter/s]
Best score: 0.1810: : 947iter [01:26, 12.10iter/s]
Best score: 0.1810: : 947iter [01:26, 12.10iter/s]
Best score: 0.1810: : 948iter [01:26, 12.10iter/s]
Best score: 0.1810: : 949iter [01:26, 12.12iter/s]
[ITER 950] Best: 0.1810
[PARAMS] Current best parameters:
  fx: 549.4705
  fy: 549.2435
  px: 1035.2325
  py: 763.0223
  k1: -0.03251484
  k2: 0.02173149
  k3: -0.01148040
  k4: 0.00208647
  p1: 0.01424403
  p2: 0.00763644
  p3: -0.01424207
  p4: 0.00317070
  s1: 0.0093
  s2: -0.0032
  s3: -0.0024
  s4: -0.0025
  tilt_x: -0.0436
  tilt_y: 0.0029
  scale: 3.0152
  rotation: -0.5112

Best score: 0.1810: : 949iter [01:26, 12.12iter/s]
Best score: 0.1810: : 950iter [01:26, 12.12iter/s]
Best score: 0.1810: : 951iter [01:26,  7.77iter/s]
Best score: 0.1810: : 951iter [01:26,  7.77iter/s]
Best score: 0.1810: : 952iter [01:26,  7.77iter/s]
Best score: 0.1810: : 953iter [01:26,  8.73iter/s]
Best score: 0.1810: : 953iter [01:26,  8.73iter/s]
Best score: 0.1810: : 954iter [01:26,  8.73iter/s]
Best score: 0.1810: : 955iter [01:26,  9.51iter/s]
Best score: 0.1810: : 955iter [01:27,  9.51iter/s]
Best score: 0.1810: : 956iter [01:27,  9.51iter/s]
Best score: 0.1810: : 957iter [01:27, 10.13iter/s]
Best score: 0.1810: : 957iter [01:27, 10.13iter/s]
Best score: 0.1810: : 958iter [01:27, 10.13iter/s]
Best score: 0.1810: : 959iter [01:27, 10.67iter/s]
Best score: 0.1809: : 959iter [01:27, 10.67iter/s]
Best score: 0.1809: : 960iter [01:27, 10.67iter/s]
Best score: 0.1809: : 961iter [01:27, 10.93iter/s]
Best score: 0.1809: : 961iter [01:27, 10.93iter/s]
Best score: 0.1809: : 962iter [01:27, 10.93iter/s]
Best score: 0.1809: : 963iter [01:27, 11.29iter/s]
Best score: 0.1809: : 963iter [01:27, 11.29iter/s]
Best score: 0.1809: : 964iter [01:27, 11.29iter/s]
Best score: 0.1809: : 965iter [01:27, 11.56iter/s]
Best score: 0.1809: : 965iter [01:27, 11.56iter/s]
Best score: 0.1809: : 966iter [01:27, 11.56iter/s]
Best score: 0.1809: : 967iter [01:27, 11.75iter/s]
Best score: 0.1809: : 967iter [01:28, 11.75iter/s]
Best score: 0.1809: : 968iter [01:28, 11.75iter/s]
Best score: 0.1809: : 969iter [01:28, 11.89iter/s]
Best score: 0.1809: : 969iter [01:28, 11.89iter/s]
Best score: 0.1809: : 970iter [01:28, 11.89iter/s]
Best score: 0.1809: : 971iter [01:28, 11.78iter/s]
Best score: 0.1809: : 971iter [01:28, 11.78iter/s]
Best score: 0.1809: : 972iter [01:28, 11.78iter/s]
Best score: 0.1809: : 973iter [01:28, 11.91iter/s]
Best score: 0.1809: : 973iter [01:28, 11.91iter/s]
Best score: 0.1809: : 974iter [01:28, 11.91iter/s]
Best score: 0.1809: : 975iter [01:28, 12.00iter/s]
Best score: 0.1809: : 975iter [01:28, 12.00iter/s]
Best score: 0.1809: : 976iter [01:28, 12.00iter/s]
Best score: 0.1809: : 977iter [01:28, 12.07iter/s]
Best score: 0.1809: : 977iter [01:28, 12.07iter/s]
Best score: 0.1809: : 978iter [01:28, 12.07iter/s]
Best score: 0.1809: : 979iter [01:28, 12.14iter/s]
Best score: 0.1808: : 979iter [01:29, 12.14iter/s]
Best score: 0.1808: : 980iter [01:29, 12.14iter/s]
Best score: 0.1808: : 981iter [01:29, 11.96iter/s]
Best score: 0.1808: : 981iter [01:29, 11.96iter/s]
Best score: 0.1808: : 982iter [01:29, 11.96iter/s]
Best score: 0.1808: : 983iter [01:29, 12.05iter/s]
Best score: 0.1808: : 983iter [01:29, 12.05iter/s]
Best score: 0.1808: : 984iter [01:29, 12.05iter/s]
Best score: 0.1808: : 985iter [01:29, 12.12iter/s]
Best score: 0.1808: : 985iter [01:29, 12.12iter/s]
Best score: 0.1808: : 986iter [01:29, 12.12iter/s]
Best score: 0.1808: : 987iter [01:29, 12.16iter/s]
Best score: 0.1808: : 987iter [01:29, 12.16iter/s]
Best score: 0.1808: : 988iter [01:29, 12.16iter/s]
Best score: 0.1808: : 989iter [01:29, 12.19iter/s]
Best score: 0.1808: : 989iter [01:29, 12.19iter/s]
Best score: 0.1808: : 990iter [01:29, 12.19iter/s]
Best score: 0.1808: : 991iter [01:29, 12.00iter/s]
Best score: 0.1808: : 991iter [01:30, 12.00iter/s]
Best score: 0.1808: : 992iter [01:30, 12.00iter/s]
Best score: 0.1808: : 993iter [01:30, 12.07iter/s]
Best score: 0.1808: : 993iter [01:30, 12.07iter/s]
Best score: 0.1808: : 994iter [01:30, 12.07iter/s]
Best score: 0.1808: : 995iter [01:30, 12.11iter/s]
Best score: 0.1808: : 995iter [01:30, 12.11iter/s]
Best score: 0.1808: : 996iter [01:30, 12.11iter/s]
Best score: 0.1808: : 997iter [01:30, 12.09iter/s]
Best score: 0.1808: : 997iter [01:30, 12.09iter/s]
Best score: 0.1808: : 998iter [01:30, 12.09iter/s]
Best score: 0.1808: : 999iter [01:30, 12.14iter/s]
[ITER 1000] Best: 0.1808
[PARAMS] Current best parameters:
  fx: 549.8318
  fy: 549.6108
  px: 1035.3159
  py: 762.8815
  k1: -0.03326637
  k2: 0.02218204
  k3: -0.01161869
  k4: 0.00209960
  p1: 0.01361256
  p2: 0.00810580
  p3: -0.01404381
  p4: 0.00319340
  s1: 0.0086
  s2: -0.0032
  s3: -0.0022
  s4: -0.0025
  tilt_x: -0.0431
  tilt_y: 0.0034
  scale: 3.0155
  rotation: -0.5118

Best score: 0.1808: : 999iter [01:30, 12.14iter/s]
Best score: 0.1808: : 1000iter [01:31, 12.14iter/s]
Best score: 0.1808: : 1001iter [01:31,  7.79iter/s]
Best score: 0.1808: : 1001iter [01:31,  7.79iter/s]
Best score: 0.1808: : 1002iter [01:31,  7.79iter/s]
Best score: 0.1808: : 1003iter [01:31,  8.73iter/s]
Best score: 0.1808: : 1003iter [01:31,  8.73iter/s]
Best score: 0.1808: : 1004iter [01:31,  8.73iter/s]
Best score: 0.1808: : 1005iter [01:31,  9.54iter/s]
Best score: 0.1808: : 1005iter [01:31,  9.54iter/s]
Best score: 0.1808: : 1006iter [01:31,  9.54iter/s]
Best score: 0.1808: : 1007iter [01:31, 10.20iter/s]
Best score: 0.1808: : 1007iter [01:31, 10.20iter/s]
Best score: 0.1808: : 1008iter [01:31, 10.20iter/s]
Best score: 0.1808: : 1009iter [01:31, 10.72iter/s]
Best score: 0.1808: : 1009iter [01:31, 10.72iter/s]
Best score: 0.1808: : 1010iter [01:31, 10.72iter/s]
Best score: 0.1808: : 1011iter [01:31, 10.90iter/s]
Best score: 0.1808: : 1011iter [01:32, 10.90iter/s]
Best score: 0.1808: : 1012iter [01:32, 10.90iter/s]
Best score: 0.1808: : 1013iter [01:32, 11.19iter/s]
Best score: 0.1808: : 1013iter [01:32, 11.19iter/s]
Best score: 0.1808: : 1014iter [01:32, 11.19iter/s]
Best score: 0.1808: : 1015iter [01:32, 11.48iter/s]
Best score: 0.1808: : 1015iter [01:32, 11.48iter/s]
Best score: 0.1808: : 1016iter [01:32, 11.48iter/s]
Best score: 0.1808: : 1017iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1017iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1018iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1019iter [01:32, 11.70iter/s]
Best score: 0.1808: : 1019iter [01:32, 11.70iter/s]
Best score: 0.1808: : 1020iter [01:32, 11.70iter/s]
Best score: 0.1808: : 1021iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1021iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1022iter [01:32, 11.61iter/s]
Best score: 0.1808: : 1023iter [01:32, 11.81iter/s]
Best score: 0.1808: : 1023iter [01:33, 11.81iter/s]
Best score: 0.1808: : 1024iter [01:33, 11.81iter/s]
Best score: 0.1808: : 1025iter [01:33, 11.87iter/s]
Best score: 0.1808: : 1025iter [01:33, 11.87iter/s]
Best score: 0.1808: : 1026iter [01:33, 11.87iter/s]
Best score: 0.1808: : 1027iter [01:33, 11.98iter/s]
Best score: 0.1808: : 1027iter [01:33, 11.98iter/s]
Best score: 0.1808: : 1028iter [01:33, 11.98iter/s]
Best score: 0.1808: : 1029iter [01:33, 12.08iter/s]
Best score: 0.1808: : 1029iter [01:33, 12.08iter/s]
Best score: 0.1808: : 1030iter [01:33, 12.08iter/s]
Best score: 0.1808: : 1031iter [01:33, 11.93iter/s]
Best score: 0.1808: : 1031iter [01:33, 11.93iter/s]
Best score: 0.1808: : 1032iter [01:33, 11.93iter/s]
Best score: 0.1808: : 1033iter [01:33, 11.97iter/s]
Best score: 0.1808: : 1033iter [01:33, 11.97iter/s]
Best score: 0.1808: : 1034iter [01:33, 11.97iter/s]
Best score: 0.1808: : 1035iter [01:33, 12.03iter/s]
Best score: 0.1808: : 1035iter [01:34, 12.03iter/s]
Best score: 0.1808: : 1036iter [01:34, 12.03iter/s]
Best score: 0.1808: : 1037iter [01:34, 12.00iter/s]
Best score: 0.1808: : 1037iter [01:34, 12.00iter/s]
Best score: 0.1808: : 1038iter [01:34, 12.00iter/s]
Best score: 0.1808: : 1039iter [01:34, 12.02iter/s]
Best score: 0.1808: : 1039iter [01:34, 12.02iter/s]
Best score: 0.1808: : 1040iter [01:34, 12.02iter/s]
Best score: 0.1808: : 1041iter [01:34, 11.89iter/s]
Best score: 0.1808: : 1041iter [01:34, 11.89iter/s]
Best score: 0.1808: : 1042iter [01:34, 11.89iter/s]
Best score: 0.1808: : 1043iter [01:34, 12.01iter/s]
Best score: 0.1808: : 1043iter [01:34, 12.01iter/s]
Best score: 0.1808: : 1044iter [01:34, 12.01iter/s]
Best score: 0.1808: : 1045iter [01:34, 12.07iter/s]
Best score: 0.1808: : 1045iter [01:34, 12.07iter/s]
Best score: 0.1808: : 1046iter [01:34, 12.07iter/s]
Best score: 0.1808: : 1047iter [01:34, 12.09iter/s]
Best score: 0.1808: : 1047iter [01:35, 12.09iter/s]
Best score: 0.1808: : 1048iter [01:35, 12.09iter/s]
Best score: 0.1808: : 1049iter [01:35, 12.12iter/s]
[ITER 1050] Best: 0.1808
[PARAMS] Current best parameters:
  fx: 549.8318
  fy: 549.6108
  px: 1035.3159
  py: 762.8815
  k1: -0.03326637
  k2: 0.02218204
  k3: -0.01161869
  k4: 0.00209960
  p1: 0.01361256
  p2: 0.00810580
  p3: -0.01404381
  p4: 0.00319340
  s1: 0.0086
  s2: -0.0032
  s3: -0.0022
  s4: -0.0025
  tilt_x: -0.0431
  tilt_y: 0.0034
  scale: 3.0155
  rotation: -0.5118

Best score: 0.1808: : 1049iter [01:35, 12.12iter/s]
Best score: 0.1808: : 1050iter [01:35, 12.12iter/s]
Best score: 0.1808: : 1051iter [01:35,  7.78iter/s]
Best score: 0.1808: : 1051iter [01:35,  7.78iter/s]
Best score: 0.1808: : 1052iter [01:35,  7.78iter/s]
Best score: 0.1808: : 1053iter [01:35,  8.73iter/s]
Best score: 0.1808: : 1053iter [01:35,  8.73iter/s]
Best score: 0.1808: : 1054iter [01:35,  8.73iter/s]
Best score: 0.1808: : 1055iter [01:35,  9.56iter/s]
Best score: 0.1808: : 1055iter [01:35,  9.56iter/s]
Best score: 0.1808: : 1056iter [01:36,  9.56iter/s]
Best score: 0.1808: : 1057iter [01:36, 10.24iter/s]
Best score: 0.1808: : 1057iter [01:36, 10.24iter/s]
Best score: 0.1808: : 1058iter [01:36, 10.24iter/s]
Best score: 0.1808: : 1059iter [01:36, 10.74iter/s]
Best score: 0.1808: : 1059iter [01:36, 10.74iter/s]
Best score: 0.1808: : 1060iter [01:36, 10.74iter/s]
Best score: 0.1808: : 1061iter [01:36, 10.95iter/s]
Best score: 0.1808: : 1061iter [01:36, 10.95iter/s]
Best score: 0.1808: : 1062iter [01:36, 10.95iter/s]
Best score: 0.1808: : 1063iter [01:36, 11.31iter/s]
Best score: 0.1808: : 1063iter [01:36, 11.31iter/s]
Best score: 0.1808: : 1064iter [01:36, 11.31iter/s]
Best score: 0.1808: : 1065iter [01:36, 11.57iter/s]
Best score: 0.1808: : 1065iter [01:36, 11.57iter/s]
Best score: 0.1808: : 1066iter [01:36, 11.57iter/s]
Best score: 0.1808: : 1067iter [01:36, 11.76iter/s]
Best score: 0.1808: : 1067iter [01:36, 11.76iter/s]
Best score: 0.1808: : 1068iter [01:37, 11.76iter/s]
Best score: 0.1808: : 1069iter [01:37, 11.89iter/s]
Best score: 0.1808: : 1069iter [01:37, 11.89iter/s]
Best score: 0.1808: : 1070iter [01:37, 11.89iter/s]
Best score: 0.1808: : 1071iter [01:37, 11.79iter/s]
Best score: 0.1808: : 1071iter [01:37, 11.79iter/s]
Best score: 0.1808: : 1072iter [01:37, 11.79iter/s]
Best score: 0.1808: : 1073iter [01:37, 11.93iter/s]
Best score: 0.1808: : 1073iter [01:37, 11.93iter/s]
Best score: 0.1808: : 1074iter [01:37, 11.93iter/s]
Best score: 0.1808: : 1075iter [01:37, 12.02iter/s]
Best score: 0.1808: : 1075iter [01:37, 12.02iter/s]
Best score: 0.1808: : 1076iter [01:37, 12.02iter/s]
Best score: 0.1808: : 1077iter [01:37, 12.09iter/s]
Best score: 0.1808: : 1077iter [01:37, 12.09iter/s]
Best score: 0.1808: : 1078iter [01:37, 12.09iter/s]
Best score: 0.1808: : 1079iter [01:37, 12.08iter/s]
Best score: 0.1808: : 1079iter [01:37, 12.08iter/s]
Best score: 0.1808: : 1080iter [01:38, 12.08iter/s]
Best score: 0.1808: : 1081iter [01:38, 11.92iter/s]
Best score: 0.1808: : 1081iter [01:38, 11.92iter/s]
Best score: 0.1808: : 1082iter [01:38, 11.92iter/s]
Best score: 0.1808: : 1083iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1083iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1084iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1085iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1085iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1086iter [01:38, 12.02iter/s]
Best score: 0.1808: : 1087iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1087iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1088iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1089iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1089iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1090iter [01:38, 12.09iter/s]
Best score: 0.1808: : 1091iter [01:38, 11.90iter/s]
Best score: 0.1808: : 1091iter [01:38, 11.90iter/s]
Best score: 0.1808: : 1092iter [01:39, 11.90iter/s]
Best score: 0.1808: : 1093iter [01:39, 11.99iter/s]
Best score: 0.1808: : 1093iter [01:39, 11.99iter/s]
Best score: 0.1808: : 1094iter [01:39, 11.99iter/s]
Best score: 0.1808: : 1095iter [01:39, 12.00iter/s]
Best score: 0.1808: : 1095iter [01:39, 12.00iter/s]
Best score: 0.1808: : 1096iter [01:39, 12.00iter/s]
Best score: 0.1808: : 1097iter [01:39, 12.07iter/s]
Best score: 0.1808: : 1097iter [01:39, 12.07iter/s]
Best score: 0.1808: : 1098iter [01:39, 12.07iter/s]
Best score: 0.1808: : 1099iter [01:39, 12.11iter/s]
[ITER 1100] Best: 0.1808
[PARAMS] Current best parameters:
  fx: 550.0419
  fy: 549.8172
  px: 1035.4099
  py: 762.9304
  k1: -0.03346732
  k2: 0.02207940
  k3: -0.01149210
  k4: 0.00206651
  p1: 0.01329310
  p2: 0.00850995
  p3: -0.01360505
  p4: 0.00295086
  s1: 0.0079
  s2: -0.0029
  s3: -0.0022
  s4: -0.0023
  tilt_x: -0.0422
  tilt_y: 0.0037
  scale: 3.0153
  rotation: -0.5108

Best score: 0.1808: : 1099iter [01:39, 12.11iter/s]
Best score: 0.1808: : 1100iter [01:39, 11.01iter/s]

[📈] Running L-BFGS-B polish after 1100 DE iterations...
  Polish improved score: 0.180777 -> 0.180760

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 99,269 → 90,947 within 3500mm ring
  Ring polish did not improve score: 0.180760
  Success: True
  Tangential distortion: p1=0.013285, p2=0.008506, p3=-0.013603, p4=0.002952
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1808
[✅] Parameters copied to: /working/MDC024_W098(6)_2026_05_29/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 550.0419050147048
    fy: 549.8171636188029
    px: 1035.409943323091
    py: 762.9304292679308
    k1: -0.03346832497014336
    k2: 0.022081227921833497
    k3: -0.011491284685272147
    k4: 0.002065519697543079
    p1: 0.013285478917550567
    p2: 0.008505998943155572
    p3: -0.013602670046696647
    p4: 0.0029524891061076006
    scale: 3.0153204224496695
    rotation: -0.5107923360029367
    mmpp: 3.4646549731668306

[🔄] Converting 1787 frames to PTD, creating debug images for 400 calibration frames...

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

   🔄 2000L:   0%|          | 0/361 [00:00<?, ?frame/s]

   🔄 2000L:   5%|▍         | 18/361 [00:00<00:01, 175.09frame/s]

   🔄 2000L:  10%|▉         | 36/361 [00:00<00:01, 175.58frame/s]

   🔄 2000L:  15%|█▍        | 54/361 [00:00<00:01, 176.93frame/s]

   🔄 2000L:  20%|██        | 73/361 [00:00<00:01, 179.48frame/s]

   🔄 2000L:  25%|██▌       | 92/361 [00:00<00:01, 180.47frame/s]

   🔄 2000L:  31%|███       | 111/361 [00:00<00:01, 180.46frame/s]

   🔄 2000L:  36%|███▌      | 130/361 [00:00<00:01, 180.08frame/s]

   🔄 2000L:  41%|████▏     | 149/361 [00:00<00:01, 179.72frame/s]

   🔄 2000L:  46%|████▋     | 167/361 [00:00<00:01, 179.60frame/s]

   🔄 2000L:  52%|█████▏    | 186/361 [00:01<00:00, 180.21frame/s]

   🔄 2000L:  57%|█████▋    | 205/361 [00:01<00:00, 180.59frame/s]

   🔄 2000L:  62%|██████▏   | 224/361 [00:01<00:00, 180.40frame/s]

   🔄 2000L:  67%|██████▋   | 243/361 [00:01<00:00, 180.16frame/s]

   🔄 2000L:  73%|███████▎  | 262/361 [00:01<00:00, 180.28frame/s]

   🔄 2000L:  78%|███████▊  | 281/361 [00:01<00:00, 179.41frame/s]

   🔄 2000L:  83%|████████▎ | 299/361 [00:01<00:00, 179.46frame/s]

   🔄 2000L:  88%|████████▊ | 317/361 [00:01<00:00, 179.32frame/s]

   🔄 2000L:  93%|█████████▎| 335/361 [00:01<00:00, 179.16frame/s]

   🔄 2000L:  98%|█████████▊| 353/361 [00:01<00:00, 178.84frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:03<00:11,  3.82s/rig]

   🔄 1500:   0%|          | 0/617 [00:00<?, ?frame/s]

   🔄 1500:   3%|▎         | 19/617 [00:00<00:03, 189.84frame/s]

   🔄 1500:   6%|▌         | 38/617 [00:00<00:03, 185.11frame/s]

   🔄 1500:   9%|▉         | 57/617 [00:00<00:03, 184.02frame/s]

   🔄 1500:  12%|█▏        | 76/617 [00:00<00:02, 183.73frame/s]

   🔄 1500:  15%|█▌        | 95/617 [00:00<00:02, 183.57frame/s]

   🔄 1500:  18%|█▊        | 114/617 [00:00<00:02, 183.11frame/s]

   🔄 1500:  22%|██▏       | 133/617 [00:00<00:02, 182.49frame/s]

   🔄 1500:  25%|██▍       | 152/617 [00:00<00:02, 181.93frame/s]

   🔄 1500:  28%|██▊       | 171/617 [00:00<00:02, 181.85frame/s]

   🔄 1500:  31%|███       | 190/617 [00:01<00:02, 181.41frame/s]

   🔄 1500:  34%|███▍      | 209/617 [00:01<00:02, 181.85frame/s]

   🔄 1500:  37%|███▋      | 228/617 [00:01<00:02, 182.78frame/s]

   🔄 1500:  40%|████      | 247/617 [00:01<00:02, 183.64frame/s]

   🔄 1500:  43%|████▎     | 266/617 [00:01<00:01, 184.33frame/s]

   🔄 1500:  46%|████▌     | 285/617 [00:01<00:01, 184.96frame/s]

   🔄 1500:  49%|████▉     | 304/617 [00:01<00:01, 185.21frame/s]

   🔄 1500:  52%|█████▏    | 323/617 [00:01<00:01, 184.99frame/s]

   🔄 1500:  55%|█████▌    | 342/617 [00:01<00:01, 185.42frame/s]

   🔄 1500:  59%|█████▊    | 361/617 [00:01<00:01, 185.39frame/s]

   🔄 1500:  62%|██████▏   | 380/617 [00:02<00:01, 184.26frame/s]

   🔄 1500:  65%|██████▍   | 399/617 [00:02<00:01, 182.74frame/s]

   🔄 1500:  68%|██████▊   | 418/617 [00:02<00:01, 182.17frame/s]

   🔄 1500:  71%|███████   | 437/617 [00:02<00:00, 180.99frame/s]

   🔄 1500:  74%|███████▍  | 456/617 [00:02<00:00, 180.48frame/s]

   🔄 1500:  77%|███████▋  | 475/617 [00:02<00:00, 180.13frame/s]

   🔄 1500:  80%|████████  | 494/617 [00:02<00:00, 180.16frame/s]

   🔄 1500:  83%|████████▎ | 513/617 [00:02<00:00, 179.09frame/s]

   🔄 1500:  86%|████████▌ | 531/617 [00:02<00:00, 179.23frame/s]

   🔄 1500:  89%|████████▉ | 550/617 [00:03<00:00, 179.83frame/s]

   🔄 1500:  92%|█████████▏| 568/617 [00:03<00:00, 179.00frame/s]

   🔄 1500:  95%|█████████▌| 587/617 [00:03<00:00, 179.41frame/s]

   🔄 1500:  98%|█████████▊| 605/617 [00:03<00:00, 179.25frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:09<00:10,  5.12s/rig]

   🔄 2000R:   0%|          | 0/355 [00:00<?, ?frame/s]

   🔄 2000R:   5%|▌         | 18/355 [00:00<00:01, 178.12frame/s]

   🔄 2000R:  10%|█         | 36/355 [00:00<00:01, 176.79frame/s]

   🔄 2000R:  15%|█▌        | 54/355 [00:00<00:01, 177.56frame/s]

   🔄 2000R:  21%|██        | 73/355 [00:00<00:01, 179.15frame/s]

   🔄 2000R:  26%|██▌       | 91/355 [00:00<00:01, 178.65frame/s]

   🔄 2000R:  31%|███       | 110/355 [00:00<00:01, 179.92frame/s]

   🔄 2000R:  36%|███▋      | 129/355 [00:00<00:01, 181.23frame/s]

   🔄 2000R:  42%|████▏     | 148/355 [00:00<00:01, 183.00frame/s]

   🔄 2000R:  47%|████▋     | 167/355 [00:00<00:01, 182.58frame/s]

   🔄 2000R:  52%|█████▏    | 186/355 [00:01<00:00, 181.83frame/s]

   🔄 2000R:  58%|█████▊    | 205/355 [00:01<00:00, 181.23frame/s]

   🔄 2000R:  63%|██████▎   | 224/355 [00:01<00:00, 181.26frame/s]

   🔄 2000R:  68%|██████▊   | 243/355 [00:01<00:00, 181.09frame/s]

   🔄 2000R:  74%|███████▍  | 262/355 [00:01<00:00, 181.84frame/s]

   🔄 2000R:  79%|███████▉  | 281/355 [00:01<00:00, 182.45frame/s]

   🔄 2000R:  85%|████████▍ | 300/355 [00:01<00:00, 183.07frame/s]

   🔄 2000R:  90%|████████▉ | 319/355 [00:01<00:00, 183.30frame/s]

   🔄 2000R:  95%|█████████▌| 338/355 [00:01<00:00, 182.54frame/s]

                                                                  
📁 Rigs:  75%|███████▌  | 3/4 [00:13<00:04,  4.34s/rig]

   🔄 1000:   0%|          | 0/454 [00:00<?, ?frame/s]

   🔄 1000:   4%|▍         | 19/454 [00:00<00:02, 184.19frame/s]

   🔄 1000:   9%|▊         | 39/454 [00:00<00:02, 190.41frame/s]

   🔄 1000:  13%|█▎        | 59/454 [00:00<00:02, 189.72frame/s]

   🔄 1000:  17%|█▋        | 78/454 [00:00<00:01, 189.79frame/s]

   🔄 1000:  21%|██▏       | 97/454 [00:00<00:01, 189.57frame/s]

   🔄 1000:  26%|██▌       | 116/454 [00:00<00:01, 189.10frame/s]

   🔄 1000:  30%|██▉       | 135/454 [00:00<00:01, 187.94frame/s]

   🔄 1000:  34%|███▍      | 154/454 [00:00<00:01, 186.65frame/s]

   🔄 1000:  38%|███▊      | 173/454 [00:00<00:01, 186.22frame/s]

   🔄 1000:  42%|████▏     | 192/454 [00:01<00:01, 186.94frame/s]

   🔄 1000:  46%|████▋     | 211/454 [00:01<00:01, 187.45frame/s]

   🔄 1000:  51%|█████     | 230/454 [00:01<00:01, 188.04frame/s]

   🔄 1000:  55%|█████▍    | 249/454 [00:01<00:01, 188.59frame/s]

   🔄 1000:  59%|█████▉    | 268/454 [00:01<00:00, 188.68frame/s]

   🔄 1000:  63%|██████▎   | 287/454 [00:01<00:00, 188.23frame/s]

   🔄 1000:  67%|██████▋   | 306/454 [00:01<00:00, 187.32frame/s]

   🔄 1000:  72%|███████▏  | 325/454 [00:01<00:00, 186.23frame/s]

   🔄 1000:  76%|███████▌  | 344/454 [00:01<00:00, 185.79frame/s]

   🔄 1000:  80%|███████▉  | 363/454 [00:01<00:00, 186.08frame/s]

   🔄 1000:  84%|████████▍ | 382/454 [00:02<00:00, 186.62frame/s]

   🔄 1000:  88%|████████▊ | 401/454 [00:02<00:00, 186.85frame/s]

   🔄 1000:  93%|█████████▎| 420/454 [00:02<00:00, 187.59frame/s]

   🔄 1000:  97%|█████████▋| 439/454 [00:02<00:00, 187.51frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:17<00:00,  4.35s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:17<00:00,  4.40s/rig]
[✅] Saved PTDs: /working/MDC024_W098(6)_2026_05_29/calibration/debug/4_undistorted/output/ptd

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

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

   🔄 2000L:  18%|█▊        | 18/100 [00:00<00:00, 177.54frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 177.98frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 177.75frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 178.62frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 178.36frame/s]

                                                                 
📁 Rigs:  25%|██▌       | 1/4 [00:00<00:02,  1.09rig/s]

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

   🔄 1500:  19%|█▉        | 19/100 [00:00<00:00, 186.52frame/s]

   🔄 1500:  38%|███▊      | 38/100 [00:00<00:00, 180.86frame/s]

   🔄 1500:  57%|█████▋    | 57/100 [00:00<00:00, 182.18frame/s]

   🔄 1500:  76%|███████▌  | 76/100 [00:00<00:00, 181.25frame/s]

   🔄 1500:  95%|█████████▌| 95/100 [00:00<00:00, 180.98frame/s]

                                                                
📁 Rigs:  50%|█████     | 2/4 [00:01<00:02,  1.00s/rig]

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 177.97frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 178.57frame/s]

   🔄 2000R:  55%|█████▌    | 55/100 [00:00<00:00, 179.74frame/s]

   🔄 2000R:  73%|███████▎  | 73/100 [00:00<00:00, 179.49frame/s]

   🔄 2000R:  92%|█████████▏| 92/100 [00:00<00:00, 180.23frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:03<00:01,  1.03s/rig]

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

   🔄 1000:  20%|██        | 20/100 [00:00<00:00, 192.04frame/s]

   🔄 1000:  40%|████      | 40/100 [00:00<00:00, 182.88frame/s]

   🔄 1000:  59%|█████▉    | 59/100 [00:00<00:00, 184.87frame/s]

   🔄 1000:  78%|███████▊  | 78/100 [00:00<00:00, 184.48frame/s]

   🔄 1000:  97%|█████████▋| 97/100 [00:00<00:00, 185.47frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.03rig/s]
📁 Rigs: 100%|██████████| 4/4 [00:03<00:00,  1.02rig/s]
[✅] Saved PTDs: /working/MDC024_W098(6)_2026_05_29/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

📤 Writing LUT:   0%|          | 0/3080448 [00:00<?, ?px/s]
📤 Writing LUT:   3%|▎         | 79661/3080448 [00:00<00:03, 796605.06px/s]
📤 Writing LUT:   5%|▌         | 168481/3080448 [00:00<00:03, 850480.01px/s]
📤 Writing LUT:   8%|▊         | 256152/3080448 [00:00<00:03, 862455.62px/s]
📤 Writing LUT:  11%|█         | 343233/3080448 [00:00<00:03, 865751.71px/s]
📤 Writing LUT:  14%|█▍        | 435042/3080448 [00:00<00:02, 884622.46px/s]
📤 Writing LUT:  17%|█▋        | 526703/3080448 [00:00<00:02, 895497.04px/s]
📤 Writing LUT:  20%|██        | 616253/3080448 [00:00<00:02, 893835.28px/s]
📤 Writing LUT:  23%|██▎       | 705638/3080448 [00:00<00:02, 887408.56px/s]
📤 Writing LUT:  26%|██▌       | 794389/3080448 [00:00<00:02, 883038.72px/s]
📤 Writing LUT:  29%|██▊       | 882702/3080448 [00:01<00:02, 878745.19px/s]
📤 Writing LUT:  32%|███▏      | 971826/3080448 [00:01<00:02, 882534.14px/s]
📤 Writing LUT:  34%|███▍      | 1060088/3080448 [00:01<00:02, 878766.04px/s]
📤 Writing LUT:  37%|███▋      | 1148976/3080448 [00:01<00:02, 881806.92px/s]
📤 Writing LUT:  40%|████      | 1237328/3080448 [00:01<00:02, 882321.37px/s]
📤 Writing LUT:  43%|████▎     | 1326771/3080448 [00:01<00:01, 885955.55px/s]
📤 Writing LUT:  46%|████▌     | 1417308/3080448 [00:01<00:01, 891782.63px/s]
📤 Writing LUT:  49%|████▉     | 1506492/3080448 [00:01<00:01, 886641.78px/s]
📤 Writing LUT:  52%|█████▏    | 1595166/3080448 [00:01<00:01, 883211.43px/s]
📤 Writing LUT:  55%|█████▍    | 1683496/3080448 [00:01<00:01, 881460.16px/s]
📤 Writing LUT:  58%|█████▊    | 1772171/3080448 [00:02<00:01, 883036.12px/s]
📤 Writing LUT:  60%|██████    | 1861118/3080448 [00:02<00:01, 884958.99px/s]
📤 Writing LUT:  63%|██████▎   | 1951636/3080448 [00:02<00:01, 891007.78px/s]
📤 Writing LUT:  66%|██████▋   | 2042518/3080448 [00:02<00:01, 896341.65px/s]
📤 Writing LUT:  69%|██████▉   | 2132260/3080448 [00:02<00:01, 896661.81px/s]
📤 Writing LUT:  72%|███████▏  | 2221930/3080448 [00:02<00:00, 892822.92px/s]
📤 Writing LUT:  75%|███████▌  | 2311871/3080448 [00:02<00:00, 894790.88px/s]
📤 Writing LUT:  78%|███████▊  | 2401355/3080448 [00:02<00:00, 892128.15px/s]
📤 Writing LUT:  81%|████████  | 2490573/3080448 [00:02<00:00, 888793.98px/s]
📤 Writing LUT:  84%|████████▎ | 2579458/3080448 [00:02<00:00, 886779.49px/s]
📤 Writing LUT:  87%|████████▋ | 2668145/3080448 [00:03<00:00, 886803.59px/s]
📤 Writing LUT:  90%|████████▉ | 2758756/3080448 [00:03<00:00, 892572.80px/s]
📤 Writing LUT:  92%|█████████▏| 2848725/3080448 [00:03<00:00, 894699.41px/s]
📤 Writing LUT:  95%|█████████▌| 2938717/3080448 [00:03<00:00, 896262.32px/s]
📤 Writing LUT:  98%|█████████▊| 3028924/3080448 [00:03<00:00, 897998.78px/s]
📤 Writing LUT: 100%|██████████| 3080448/3080448 [00:03<00:00, 886916.81px/s]
[✅] LUT written to: /working/MDC024_W098(6)_2026_05_29/calibration/debug/4_undistorted/output/LUT.lut
[✅] LUT copied to: /working/MDC024_W098(6)_2026_05_29/calibration/MDC024_W098(6)_unknown_2026_05_29.lut

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

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

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

   🔥 2000L:   0%|          | 0/361 [00:00<?, ?frame/s]

   🔥 2000L:   2%|▏         | 8/361 [00:00<00:04, 72.88frame/s]

   🔥 2000L:   5%|▍         | 17/361 [00:00<00:04, 77.86frame/s]

   🔥 2000L:   7%|▋         | 26/361 [00:00<00:04, 80.24frame/s]

   🔥 2000L:  10%|▉         | 35/361 [00:00<00:03, 82.55frame/s]

   🔥 2000L:  12%|█▏        | 45/361 [00:00<00:03, 86.43frame/s]

   🔥 2000L:  16%|█▌        | 56/361 [00:00<00:03, 93.05frame/s]

   🔥 2000L:  19%|█▊        | 67/361 [00:00<00:03, 97.82frame/s]

   🔥 2000L:  22%|██▏       | 78/361 [00:00<00:02, 101.58frame/s]

   🔥 2000L:  25%|██▍       | 90/361 [00:00<00:02, 105.71frame/s]

   🔥 2000L:  28%|██▊       | 102/361 [00:01<00:02, 107.02frame/s]

   🔥 2000L:  31%|███▏      | 113/361 [00:01<00:02, 104.96frame/s]

   🔥 2000L:  34%|███▍      | 124/361 [00:01<00:02, 100.17frame/s]

   🔥 2000L:  37%|███▋      | 135/361 [00:01<00:02, 97.38frame/s] 

   🔥 2000L:  40%|████      | 145/361 [00:01<00:02, 95.16frame/s]

   🔥 2000L:  43%|████▎     | 155/361 [00:01<00:02, 93.36frame/s]

   🔥 2000L:  46%|████▌     | 165/361 [00:01<00:02, 93.32frame/s]

   🔥 2000L:  48%|████▊     | 175/361 [00:01<00:01, 93.90frame/s]

   🔥 2000L:  51%|█████     | 185/361 [00:01<00:01, 94.12frame/s]

   🔥 2000L:  54%|█████▍    | 195/361 [00:02<00:01, 95.68frame/s]

   🔥 2000L:  57%|█████▋    | 205/361 [00:02<00:01, 96.66frame/s]

   🔥 2000L:  60%|█████▉    | 216/361 [00:02<00:01, 99.71frame/s]

   🔥 2000L:  63%|██████▎   | 228/361 [00:02<00:01, 103.24frame/s]

   🔥 2000L:  66%|██████▌   | 239/361 [00:02<00:01, 102.23frame/s]

   🔥 2000L:  69%|██████▉   | 250/361 [00:02<00:01, 99.90frame/s] 

   🔥 2000L:  72%|███████▏  | 261/361 [00:02<00:01, 95.51frame/s]

   🔥 2000L:  75%|███████▌  | 271/361 [00:02<00:00, 91.03frame/s]

   🔥 2000L:  78%|███████▊  | 281/361 [00:02<00:00, 87.26frame/s]

   🔥 2000L:  80%|████████  | 290/361 [00:03<00:00, 85.34frame/s]

   🔥 2000L:  83%|████████▎ | 299/361 [00:03<00:00, 83.56frame/s]

   🔥 2000L:  85%|████████▌ | 308/361 [00:03<00:00, 82.71frame/s]

   🔥 2000L:  88%|████████▊ | 317/361 [00:03<00:00, 82.06frame/s]

   🔥 2000L:  90%|█████████ | 326/361 [00:03<00:00, 81.77frame/s]

   🔥 2000L:  93%|█████████▎| 335/361 [00:03<00:00, 81.35frame/s]

   🔥 2000L:  95%|█████████▌| 344/361 [00:03<00:00, 81.01frame/s]

   🔥 2000L:  98%|█████████▊| 353/361 [00:03<00:00, 80.53frame/s]

                                                                 [✅] 2000L: /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:05<00:16,  5.43s/rig]

   🔥 1500:   0%|          | 0/617 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 10/617 [00:00<00:06, 95.00frame/s]

   🔥 1500:   3%|▎         | 20/617 [00:00<00:06, 94.43frame/s]

   🔥 1500:   5%|▍         | 30/617 [00:00<00:06, 93.92frame/s]

   🔥 1500:   6%|▋         | 40/617 [00:00<00:06, 93.34frame/s]

   🔥 1500:   8%|▊         | 50/617 [00:00<00:06, 92.94frame/s]

   🔥 1500:  10%|▉         | 60/617 [00:00<00:05, 93.84frame/s]

   🔥 1500:  11%|█▏        | 70/617 [00:00<00:05, 93.88frame/s]

   🔥 1500:  13%|█▎        | 80/617 [00:00<00:05, 90.47frame/s]

   🔥 1500:  15%|█▍        | 90/617 [00:00<00:06, 86.68frame/s]

   🔥 1500:  16%|█▌        | 99/617 [00:01<00:06, 83.88frame/s]

   🔥 1500:  18%|█▊        | 108/617 [00:01<00:06, 81.38frame/s]

   🔥 1500:  19%|█▉        | 117/617 [00:01<00:06, 79.66frame/s]

   🔥 1500:  20%|██        | 125/617 [00:01<00:06, 78.85frame/s]

   🔥 1500:  22%|██▏       | 133/617 [00:01<00:06, 77.53frame/s]

   🔥 1500:  23%|██▎       | 141/617 [00:01<00:06, 76.93frame/s]

   🔥 1500:  24%|██▍       | 149/617 [00:01<00:06, 76.51frame/s]

   🔥 1500:  25%|██▌       | 157/617 [00:01<00:05, 76.67frame/s]

   🔥 1500:  27%|██▋       | 165/617 [00:01<00:05, 77.57frame/s]

   🔥 1500:  28%|██▊       | 173/617 [00:02<00:05, 78.15frame/s]

   🔥 1500:  29%|██▉       | 181/617 [00:02<00:05, 77.42frame/s]

   🔥 1500:  31%|███       | 189/617 [00:02<00:05, 76.97frame/s]

   🔥 1500:  32%|███▏      | 197/617 [00:02<00:05, 77.33frame/s]

   🔥 1500:  33%|███▎      | 205/617 [00:02<00:05, 77.67frame/s]

   🔥 1500:  35%|███▍      | 214/617 [00:02<00:05, 78.48frame/s]

   🔥 1500:  36%|███▌      | 223/617 [00:02<00:04, 78.87frame/s]

   🔥 1500:  37%|███▋      | 231/617 [00:02<00:04, 78.74frame/s]

   🔥 1500:  39%|███▊      | 239/617 [00:02<00:04, 78.67frame/s]

   🔥 1500:  40%|████      | 248/617 [00:03<00:04, 79.33frame/s]

   🔥 1500:  42%|████▏     | 257/617 [00:03<00:04, 79.66frame/s]

   🔥 1500:  43%|████▎     | 266/617 [00:03<00:04, 80.92frame/s]

   🔥 1500:  45%|████▍     | 275/617 [00:03<00:04, 82.01frame/s]

   🔥 1500:  46%|████▌     | 285/617 [00:03<00:03, 84.53frame/s]

   🔥 1500:  48%|████▊     | 295/617 [00:03<00:03, 87.44frame/s]

   🔥 1500:  49%|████▉     | 305/617 [00:03<00:03, 89.99frame/s]

   🔥 1500:  51%|█████     | 315/617 [00:03<00:03, 91.91frame/s]

   🔥 1500:  53%|█████▎    | 325/617 [00:03<00:03, 91.63frame/s]

   🔥 1500:  54%|█████▍    | 335/617 [00:04<00:03, 90.86frame/s]

   🔥 1500:  56%|█████▌    | 345/617 [00:04<00:03, 90.25frame/s]

   🔥 1500:  58%|█████▊    | 355/617 [00:04<00:02, 89.25frame/s]

   🔥 1500:  59%|█████▉    | 364/617 [00:04<00:02, 88.41frame/s]

   🔥 1500:  60%|██████    | 373/617 [00:04<00:02, 86.65frame/s]

   🔥 1500:  62%|██████▏   | 382/617 [00:04<00:02, 84.66frame/s]

   🔥 1500:  63%|██████▎   | 391/617 [00:04<00:02, 84.35frame/s]

   🔥 1500:  65%|██████▍   | 400/617 [00:04<00:02, 83.56frame/s]

   🔥 1500:  66%|██████▋   | 409/617 [00:04<00:02, 83.79frame/s]

   🔥 1500:  68%|██████▊   | 418/617 [00:04<00:02, 84.16frame/s]

   🔥 1500:  69%|██████▉   | 427/617 [00:05<00:02, 83.92frame/s]

   🔥 1500:  71%|███████   | 436/617 [00:05<00:02, 84.26frame/s]

   🔥 1500:  72%|███████▏  | 445/617 [00:05<00:02, 83.96frame/s]

   🔥 1500:  74%|███████▎  | 454/617 [00:05<00:01, 83.65frame/s]

   🔥 1500:  75%|███████▌  | 463/617 [00:05<00:01, 84.68frame/s]

   🔥 1500:  76%|███████▋  | 472/617 [00:05<00:01, 84.59frame/s]

   🔥 1500:  78%|███████▊  | 481/617 [00:05<00:01, 84.98frame/s]

   🔥 1500:  80%|███████▉  | 491/617 [00:05<00:01, 86.95frame/s]

   🔥 1500:  81%|████████  | 501/617 [00:05<00:01, 88.57frame/s]

   🔥 1500:  83%|████████▎ | 511/617 [00:06<00:01, 89.80frame/s]

   🔥 1500:  84%|████████▍ | 521/617 [00:06<00:01, 90.78frame/s]

   🔥 1500:  86%|████████▌ | 531/617 [00:06<00:00, 91.82frame/s]

   🔥 1500:  88%|████████▊ | 541/617 [00:06<00:00, 92.62frame/s]

   🔥 1500:  89%|████████▉ | 551/617 [00:06<00:00, 93.36frame/s]

   🔥 1500:  91%|█████████ | 561/617 [00:06<00:00, 92.24frame/s]

   🔥 1500:  93%|█████████▎| 571/617 [00:06<00:00, 93.27frame/s]

   🔥 1500:  94%|█████████▍| 581/617 [00:06<00:00, 93.92frame/s]

   🔥 1500:  96%|█████████▌| 591/617 [00:06<00:00, 93.31frame/s]

   🔥 1500:  97%|█████████▋| 601/617 [00:07<00:00, 93.38frame/s]

   🔥 1500:  99%|█████████▉| 611/617 [00:07<00:00, 93.60frame/s]

                                                                [✅] 1500: /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:13<00:14,  7.26s/rig]

   🔥 2000R:   0%|          | 0/355 [00:00<?, ?frame/s]

   🔥 2000R:   3%|▎         | 9/355 [00:00<00:04, 81.39frame/s]

   🔥 2000R:   5%|▌         | 18/355 [00:00<00:04, 80.48frame/s]

   🔥 2000R:   8%|▊         | 27/355 [00:00<00:04, 79.85frame/s]

   🔥 2000R:  10%|▉         | 35/355 [00:00<00:04, 79.76frame/s]

   🔥 2000R:  12%|█▏        | 43/355 [00:00<00:03, 79.14frame/s]

   🔥 2000R:  14%|█▍        | 51/355 [00:00<00:03, 79.27frame/s]

   🔥 2000R:  17%|█▋        | 59/355 [00:00<00:03, 78.30frame/s]

   🔥 2000R:  19%|█▉        | 68/355 [00:00<00:03, 79.45frame/s]

   🔥 2000R:  22%|██▏       | 77/355 [00:00<00:03, 80.63frame/s]

   🔥 2000R:  24%|██▍       | 86/355 [00:01<00:03, 81.98frame/s]

   🔥 2000R:  27%|██▋       | 95/355 [00:01<00:03, 83.06frame/s]

   🔥 2000R:  30%|███       | 107/355 [00:01<00:02, 91.60frame/s]

   🔥 2000R:  33%|███▎      | 118/355 [00:01<00:02, 95.49frame/s]

   🔥 2000R:  36%|███▌      | 128/355 [00:01<00:02, 95.69frame/s]

   🔥 2000R:  39%|███▉      | 139/355 [00:01<00:02, 97.29frame/s]

   🔥 2000R:  42%|████▏     | 149/355 [00:01<00:02, 97.71frame/s]

   🔥 2000R:  45%|████▍     | 159/355 [00:01<00:02, 97.70frame/s]

   🔥 2000R:  48%|████▊     | 169/355 [00:01<00:01, 97.47frame/s]

   🔥 2000R:  50%|█████     | 179/355 [00:02<00:01, 96.87frame/s]

   🔥 2000R:  53%|█████▎    | 189/355 [00:02<00:01, 96.50frame/s]

   🔥 2000R:  56%|█████▌    | 199/355 [00:02<00:01, 95.82frame/s]

   🔥 2000R:  59%|█████▉    | 209/355 [00:02<00:01, 95.11frame/s]

   🔥 2000R:  62%|██████▏   | 219/355 [00:02<00:01, 95.03frame/s]

   🔥 2000R:  65%|██████▍   | 229/355 [00:02<00:01, 96.30frame/s]

   🔥 2000R:  68%|██████▊   | 240/355 [00:02<00:01, 97.92frame/s]

   🔥 2000R:  71%|███████   | 251/355 [00:02<00:01, 101.12frame/s]

   🔥 2000R:  74%|███████▍  | 263/355 [00:02<00:00, 105.36frame/s]

   🔥 2000R:  77%|███████▋  | 275/355 [00:02<00:00, 109.29frame/s]

   🔥 2000R:  81%|████████  | 287/355 [00:03<00:00, 110.00frame/s]

   🔥 2000R:  84%|████████▍ | 299/355 [00:03<00:00, 106.17frame/s]

   🔥 2000R:  87%|████████▋ | 310/355 [00:03<00:00, 102.76frame/s]

   🔥 2000R:  90%|█████████ | 321/355 [00:03<00:00, 99.47frame/s] 

   🔥 2000R:  93%|█████████▎| 331/355 [00:03<00:00, 94.30frame/s]

   🔥 2000R:  96%|█████████▌| 341/355 [00:03<00:00, 90.14frame/s]

   🔥 2000R:  99%|█████████▉| 351/355 [00:03<00:00, 86.91frame/s]

                                                                 [✅] 2000R: /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:19<00:06,  6.38s/rig]

   🔥 1000:   0%|          | 0/454 [00:00<?, ?frame/s]

   🔥 1000:   2%|▏         | 9/454 [00:00<00:05, 84.37frame/s]

   🔥 1000:   4%|▍         | 19/454 [00:00<00:04, 88.98frame/s]

   🔥 1000:   6%|▋         | 29/454 [00:00<00:04, 92.27frame/s]

   🔥 1000:   9%|▊         | 39/454 [00:00<00:04, 92.68frame/s]

   🔥 1000:  11%|█         | 49/454 [00:00<00:04, 92.91frame/s]

   🔥 1000:  13%|█▎        | 59/454 [00:00<00:04, 94.04frame/s]

   🔥 1000:  15%|█▌        | 69/454 [00:00<00:04, 95.31frame/s]

   🔥 1000:  17%|█▋        | 79/454 [00:00<00:03, 96.01frame/s]

   🔥 1000:  20%|█▉        | 89/454 [00:00<00:03, 95.59frame/s]

   🔥 1000:  22%|██▏       | 99/454 [00:01<00:03, 94.21frame/s]

   🔥 1000:  24%|██▍       | 109/454 [00:01<00:03, 90.05frame/s]

   🔥 1000:  26%|██▌       | 119/454 [00:01<00:03, 87.56frame/s]

   🔥 1000:  28%|██▊       | 128/454 [00:01<00:03, 86.46frame/s]

   🔥 1000:  30%|███       | 137/454 [00:01<00:03, 85.14frame/s]

   🔥 1000:  32%|███▏      | 146/454 [00:01<00:03, 84.40frame/s]

   🔥 1000:  34%|███▍      | 155/454 [00:01<00:03, 83.36frame/s]

   🔥 1000:  36%|███▌      | 164/454 [00:01<00:03, 82.67frame/s]

   🔥 1000:  38%|███▊      | 173/454 [00:01<00:03, 83.50frame/s]

   🔥 1000:  40%|████      | 182/454 [00:02<00:03, 84.45frame/s]

   🔥 1000:  42%|████▏     | 192/454 [00:02<00:03, 87.11frame/s]

   🔥 1000:  44%|████▍     | 202/454 [00:02<00:02, 90.19frame/s]

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   🔥 1000:  49%|████▉     | 222/454 [00:02<00:02, 93.25frame/s]

   🔥 1000:  51%|█████     | 232/454 [00:02<00:02, 92.97frame/s]

   🔥 1000:  53%|█████▎    | 242/454 [00:02<00:02, 92.08frame/s]

   🔥 1000:  56%|█████▌    | 252/454 [00:02<00:02, 90.50frame/s]

   🔥 1000:  58%|█████▊    | 262/454 [00:02<00:02, 88.76frame/s]

   🔥 1000:  60%|█████▉    | 271/454 [00:03<00:02, 87.80frame/s]

   🔥 1000:  62%|██████▏   | 280/454 [00:03<00:02, 86.49frame/s]

   🔥 1000:  64%|██████▎   | 289/454 [00:03<00:01, 85.94frame/s]

   🔥 1000:  66%|██████▌   | 298/454 [00:03<00:01, 85.27frame/s]

   🔥 1000:  68%|██████▊   | 307/454 [00:03<00:01, 84.67frame/s]

   🔥 1000:  70%|██████▉   | 316/454 [00:03<00:01, 84.70frame/s]

   🔥 1000:  72%|███████▏  | 325/454 [00:03<00:01, 84.74frame/s]

   🔥 1000:  74%|███████▎  | 334/454 [00:03<00:01, 84.67frame/s]

   🔥 1000:  76%|███████▌  | 343/454 [00:03<00:01, 85.19frame/s]

   🔥 1000:  78%|███████▊  | 352/454 [00:03<00:01, 86.29frame/s]

   🔥 1000:  80%|███████▉  | 361/454 [00:04<00:01, 86.93frame/s]

   🔥 1000:  82%|████████▏ | 371/454 [00:04<00:00, 88.33frame/s]

   🔥 1000:  84%|████████▍ | 381/454 [00:04<00:00, 89.88frame/s]

   🔥 1000:  86%|████████▌ | 391/454 [00:04<00:00, 91.37frame/s]

   🔥 1000:  88%|████████▊ | 401/454 [00:04<00:00, 92.92frame/s]

   🔥 1000:  91%|█████████ | 411/454 [00:04<00:00, 94.40frame/s]

   🔥 1000:  93%|█████████▎| 421/454 [00:04<00:00, 94.68frame/s]

   🔥 1000:  95%|█████████▍| 431/454 [00:04<00:00, 93.04frame/s]

   🔥 1000:  97%|█████████▋| 441/454 [00:04<00:00, 92.85frame/s]

   🔥 1000:  99%|█████████▉| 451/454 [00:05<00:00, 91.41frame/s]

                                                                [✅] 1000: /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:25<00:00,  6.15s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:25<00:00,  6.27s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDC024_W098(6)_2026_05_29/calibration/debug/5_heatmap
[🏁] Finished processing MDC024_W098(6)_2026_05_29


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