2026-05-20T02:27:28 - INFO: Slick 0.0.8a13

🟢 Starting Calibration Pipeline

=== Processing MDCP3D-SL-001_W036(6)_2026-03-23 ===
2026-05-20T02:27:28 - INFO: Camera ID: 06V38
2026-05-20T02:27:28 - INFO: Wand ID: 000019c6b206
2026-05-20T02:27:28 - INFO: Recorded At: 2026-03-23T18:24:33Z

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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 258 stationary frames, 180 remain


→ 2000L (180 images) Phase 1:   0%|          | 0/180 [00:00<?, ?it/s]

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→ 2000L (180 images) Phase 1:   2%|▏         | 4/180 [00:00<00:19,  9.07it/s]

→ 2000L (180 images) Phase 1:   7%|▋         | 13/180 [00:00<00:05, 28.81it/s]

→ 2000L (180 images) Phase 1:  17%|█▋        | 30/180 [00:00<00:02, 56.56it/s]

→ 2000L (180 images) Phase 1:  21%|██        | 37/180 [00:01<00:03, 41.74it/s]

→ 2000L (180 images) Phase 1:  27%|██▋       | 49/180 [00:01<00:02, 56.97it/s]

→ 2000L (180 images) Phase 1:  34%|███▍      | 62/180 [00:01<00:01, 68.78it/s]

→ 2000L (180 images) Phase 1:  39%|███▉      | 71/180 [00:01<00:01, 55.57it/s]

→ 2000L (180 images) Phase 1:  46%|████▌     | 83/180 [00:01<00:01, 67.99it/s]

→ 2000L (180 images) Phase 1:  52%|█████▏    | 94/180 [00:01<00:01, 74.02it/s]

→ 2000L (180 images) Phase 1:  57%|█████▋    | 103/180 [00:02<00:01, 59.36it/s]

→ 2000L (180 images) Phase 1:  64%|██████▍   | 115/180 [00:02<00:00, 71.23it/s]

→ 2000L (180 images) Phase 1:  70%|███████   | 126/180 [00:02<00:00, 76.77it/s]

→ 2000L (180 images) Phase 1:  75%|███████▌  | 135/180 [00:02<00:00, 61.55it/s]

→ 2000L (180 images) Phase 1:  81%|████████  | 146/180 [00:02<00:00, 70.09it/s]

→ 2000L (180 images) Phase 1:  89%|████████▉ | 160/180 [00:02<00:00, 77.24it/s]

→ 2000L (180 images) Phase 1:  94%|█████████▍| 169/180 [00:02<00:00, 76.34it/s]

                                                                               

→ 2000L Phase 2: corners:   0%|          | 0/179 [00:00<?, ?it/s]

→ 2000L Phase 2: corners:   1%|          | 1/179 [00:00<00:32,  5.49it/s]

→ 2000L Phase 2: corners:   9%|▉         | 16/179 [00:00<00:02, 65.98it/s]

→ 2000L Phase 2: corners:  16%|█▌        | 29/179 [00:00<00:01, 83.03it/s]

→ 2000L Phase 2: corners:  24%|██▍       | 43/179 [00:00<00:01, 93.71it/s]

→ 2000L Phase 2: corners:  32%|███▏      | 57/179 [00:00<00:01, 105.29it/s]

→ 2000L Phase 2: corners:  40%|████      | 72/179 [00:00<00:00, 115.63it/s]

→ 2000L Phase 2: corners:  47%|████▋     | 85/179 [00:00<00:00, 118.80it/s]

→ 2000L Phase 2: corners:  55%|█████▌    | 99/179 [00:00<00:00, 124.02it/s]

→ 2000L Phase 2: corners:  63%|██████▎   | 113/179 [00:01<00:00, 128.45it/s]

→ 2000L Phase 2: corners:  71%|███████   | 127/179 [00:01<00:00, 131.47it/s]

→ 2000L Phase 2: corners:  79%|███████▉  | 141/179 [00:01<00:00, 124.31it/s]

→ 2000L Phase 2: corners:  86%|████████▌ | 154/179 [00:01<00:00, 122.83it/s]

→ 2000L Phase 2: corners:  93%|█████████▎| 167/179 [00:01<00:00, 111.43it/s]

                                                                            [PASS2] Frame 0000148: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000149: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000150: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000151: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000329: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000331: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000334: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000387: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000389: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000390: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000391: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000392: fixed corners {1, 3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000394: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000395: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000396: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000398: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000443: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000444: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000445: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000465: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000466: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000468: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000483: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000484: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000485: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000487: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000488: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000489: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000492: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000493: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000494: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000495: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000496: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000150: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000329: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000331: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000389: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000395: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000397: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000445: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000466: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000485: fixed corners {0, 2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000486: fixed corners {2, 3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000488: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000493: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000494: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000495: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000329: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000331: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000389: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000390: fixed corners {0} (was_fixed=True, trusted=False)
[PASS2] Frame 0000391: fixed corners {0} (was_fixed=False, trusted=False)
[PASS2] Frame 0000395: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000486: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000492: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000493: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000494: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Summary: 22 frames fixed, 23 untrusted, 179 total


→ 2000L Phase 3: finalize:   0%|          | 0/179 [00:00<?, ?it/s]

→ 2000L Phase 3: finalize:   3%|▎         | 5/179 [00:00<00:03, 47.38it/s]

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→ 2000L Phase 3: finalize:   9%|▉         | 17/179 [00:00<00:02, 56.06it/s]

→ 2000L Phase 3: finalize:  13%|█▎        | 23/179 [00:00<00:02, 56.72it/s]

→ 2000L Phase 3: finalize:  16%|█▌        | 29/179 [00:00<00:02, 57.68it/s]

→ 2000L Phase 3: finalize:  20%|█▉        | 35/179 [00:00<00:02, 58.36it/s]

→ 2000L Phase 3: finalize:  23%|██▎       | 41/179 [00:00<00:02, 58.66it/s]

→ 2000L Phase 3: finalize:  26%|██▋       | 47/179 [00:00<00:02, 58.87it/s]

→ 2000L Phase 3: finalize:  30%|██▉       | 53/179 [00:00<00:02, 58.92it/s]

→ 2000L Phase 3: finalize:  33%|███▎      | 59/179 [00:01<00:02, 59.16it/s]

→ 2000L Phase 3: finalize:  36%|███▋      | 65/179 [00:01<00:01, 58.93it/s]

→ 2000L Phase 3: finalize:  40%|███▉      | 71/179 [00:01<00:01, 56.43it/s]

→ 2000L Phase 3: finalize:  43%|████▎     | 77/179 [00:01<00:01, 53.98it/s]

→ 2000L Phase 3: finalize:  46%|████▋     | 83/179 [00:01<00:01, 53.23it/s]

→ 2000L Phase 3: finalize:  50%|████▉     | 89/179 [00:01<00:01, 52.71it/s]

→ 2000L Phase 3: finalize:  53%|█████▎    | 95/179 [00:01<00:01, 52.18it/s]

→ 2000L Phase 3: finalize:  56%|█████▋    | 101/179 [00:01<00:01, 52.11it/s]

→ 2000L Phase 3: finalize:  60%|█████▉    | 107/179 [00:01<00:01, 52.13it/s]

→ 2000L Phase 3: finalize:  63%|██████▎   | 113/179 [00:02<00:01, 52.06it/s]

→ 2000L Phase 3: finalize:  66%|██████▋   | 119/179 [00:02<00:01, 52.14it/s]

→ 2000L Phase 3: finalize:  70%|██████▉   | 125/179 [00:02<00:01, 52.07it/s]

→ 2000L Phase 3: finalize:  73%|███████▎  | 131/179 [00:02<00:00, 52.60it/s]

→ 2000L Phase 3: finalize:  77%|███████▋  | 137/179 [00:02<00:00, 53.02it/s]

→ 2000L Phase 3: finalize:  80%|███████▉  | 143/179 [00:02<00:00, 53.51it/s]

→ 2000L Phase 3: finalize:  83%|████████▎ | 149/179 [00:02<00:00, 53.82it/s]

→ 2000L Phase 3: finalize:  87%|████████▋ | 155/179 [00:02<00:00, 54.06it/s]

→ 2000L Phase 3: finalize:  90%|████████▉ | 161/179 [00:02<00:00, 54.01it/s]

→ 2000L Phase 3: finalize:  93%|█████████▎| 167/179 [00:03<00:00, 53.23it/s]

→ 2000L Phase 3: finalize:  97%|█████████▋| 173/179 [00:03<00:00, 53.28it/s]

→ 2000L Phase 3: finalize: 100%|██████████| 179/179 [00:03<00:00, 52.69it/s]

                                                                            
[TIMING] 2000L — 180 frames
  Phase 1  radial detect   (parallel)  :   3.01s  (16.7 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.64s  (9.2 ms/frame)
  Phase 2b corner fix      (sequential):   1.03s
  Phase 3  finalize        (sequential):   3.30s  (18.3 ms/frame)
    decode + undistort                 :   1.63s  (9.1 ms/frame)
    corner apply + refinement          :   0.77s  (4.3 ms/frame)
    segment                            :   0.73s  (4.0 ms/frame)
    smooth                             :   0.11s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   8.98s


Processing Rigs:  25%|██▌       | 1/4 [00:10<00:32, 10.68s/it][INFO] Filtered 444 stationary frames, 280 remain


→ 2000R (280 images) Phase 1:   0%|          | 0/280 [00:00<?, ?it/s]

→ 2000R (280 images) Phase 1:   0%|          | 1/280 [00:00<02:39,  1.75it/s]

→ 2000R (280 images) Phase 1:   3%|▎         | 8/280 [00:00<00:17, 15.35it/s]

→ 2000R (280 images) Phase 1:  11%|█         | 30/280 [00:00<00:04, 59.45it/s]

→ 2000R (280 images) Phase 1:  15%|█▌        | 42/280 [00:01<00:05, 46.65it/s]

→ 2000R (280 images) Phase 1:  22%|██▏       | 61/280 [00:01<00:03, 70.48it/s]

→ 2000R (280 images) Phase 1:  26%|██▌       | 73/280 [00:01<00:03, 54.04it/s]

→ 2000R (280 images) Phase 1:  34%|███▎      | 94/280 [00:01<00:02, 76.00it/s]

→ 2000R (280 images) Phase 1:  38%|███▊      | 106/280 [00:02<00:02, 58.31it/s]

→ 2000R (280 images) Phase 1:  45%|████▍     | 125/280 [00:02<00:02, 77.08it/s]

→ 2000R (280 images) Phase 1:  49%|████▉     | 137/280 [00:02<00:02, 59.30it/s]

→ 2000R (280 images) Phase 1:  56%|█████▌    | 157/280 [00:02<00:01, 80.05it/s]

→ 2000R (280 images) Phase 1:  61%|██████    | 170/280 [00:02<00:01, 60.98it/s]

→ 2000R (280 images) Phase 1:  68%|██████▊   | 190/280 [00:03<00:01, 79.36it/s]

→ 2000R (280 images) Phase 1:  72%|███████▏  | 202/280 [00:03<00:01, 61.14it/s]

→ 2000R (280 images) Phase 1:  79%|███████▉  | 222/280 [00:03<00:00, 80.67it/s]

→ 2000R (280 images) Phase 1:  84%|████████▍ | 235/280 [00:03<00:00, 62.21it/s]

→ 2000R (280 images) Phase 1:  91%|█████████▏| 256/280 [00:04<00:00, 81.60it/s]

→ 2000R (280 images) Phase 1:  96%|█████████▌| 269/280 [00:04<00:00, 69.00it/s]

                                                                               

→ 2000R Phase 2: corners:   0%|          | 0/279 [00:00<?, ?it/s]

→ 2000R Phase 2: corners:   0%|          | 1/279 [00:00<01:13,  3.77it/s]

→ 2000R Phase 2: corners:   6%|▋         | 18/279 [00:00<00:04, 61.56it/s]

→ 2000R Phase 2: corners:  10%|█         | 28/279 [00:00<00:03, 71.61it/s]

→ 2000R Phase 2: corners:  15%|█▌        | 43/279 [00:00<00:02, 95.53it/s]

→ 2000R Phase 2: corners:  20%|██        | 57/279 [00:00<00:02, 109.18it/s]

→ 2000R Phase 2: corners:  25%|██▌       | 71/279 [00:00<00:01, 118.27it/s]

→ 2000R Phase 2: corners:  30%|███       | 85/279 [00:00<00:01, 124.48it/s]

→ 2000R Phase 2: corners:  35%|███▌      | 99/279 [00:00<00:01, 124.04it/s]

→ 2000R Phase 2: corners:  40%|████      | 112/279 [00:01<00:01, 122.79it/s]

→ 2000R Phase 2: corners:  45%|████▍     | 125/279 [00:01<00:01, 117.86it/s]

→ 2000R Phase 2: corners:  50%|█████     | 140/279 [00:01<00:01, 123.56it/s]

→ 2000R Phase 2: corners:  55%|█████▍    | 153/279 [00:01<00:01, 123.26it/s]

→ 2000R Phase 2: corners:  61%|██████    | 169/279 [00:01<00:00, 131.92it/s]

→ 2000R Phase 2: corners:  66%|██████▌   | 183/279 [00:01<00:00, 133.74it/s]

→ 2000R Phase 2: corners:  72%|███████▏  | 202/279 [00:01<00:00, 148.93it/s]

→ 2000R Phase 2: corners:  79%|███████▉  | 220/279 [00:01<00:00, 153.51it/s]

→ 2000R Phase 2: corners:  85%|████████▍ | 236/279 [00:01<00:00, 141.84it/s]

→ 2000R Phase 2: corners:  91%|█████████▏| 255/279 [00:02<00:00, 154.59it/s]

→ 2000R Phase 2: corners:  99%|█████████▉| 276/279 [00:02<00:00, 167.81it/s]

                                                                            [PASS2] Frame 0000147: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000148: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000149: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000150: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000161: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000162: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000163: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000164: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000209: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000210: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000211: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000212: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000215: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000216: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000217: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000218: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000219: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000220: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000221: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000222: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000223: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000224: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000225: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000226: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000227: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000228: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000233: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000234: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000235: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000236: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000149: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000163: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000211: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000217: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000221: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000222: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000223: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000224: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000226: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000227: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000228: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000235: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000222: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000223: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000224: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000226: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000227: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000228: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Summary: 18 frames fixed, 18 untrusted, 279 total


→ 2000R Phase 3: finalize:   0%|          | 0/279 [00:00<?, ?it/s]

→ 2000R Phase 3: finalize:   2%|▏         | 6/279 [00:00<00:04, 58.50it/s]

→ 2000R Phase 3: finalize:   4%|▍         | 12/279 [00:00<00:04, 56.80it/s]

→ 2000R Phase 3: finalize:   7%|▋         | 19/279 [00:00<00:04, 58.71it/s]

→ 2000R Phase 3: finalize:   9%|▉         | 26/279 [00:00<00:04, 60.75it/s]

→ 2000R Phase 3: finalize:  12%|█▏        | 33/279 [00:00<00:03, 62.51it/s]

→ 2000R Phase 3: finalize:  14%|█▍        | 40/279 [00:00<00:03, 63.95it/s]

→ 2000R Phase 3: finalize:  17%|█▋        | 47/279 [00:00<00:03, 65.09it/s]

→ 2000R Phase 3: finalize:  19%|█▉        | 54/279 [00:00<00:03, 65.65it/s]

→ 2000R Phase 3: finalize:  22%|██▏       | 61/279 [00:00<00:03, 66.00it/s]

→ 2000R Phase 3: finalize:  24%|██▍       | 68/279 [00:01<00:03, 65.86it/s]

→ 2000R Phase 3: finalize:  27%|██▋       | 75/279 [00:01<00:03, 64.81it/s]

→ 2000R Phase 3: finalize:  29%|██▉       | 82/279 [00:01<00:03, 61.00it/s]

→ 2000R Phase 3: finalize:  32%|███▏      | 89/279 [00:01<00:03, 58.69it/s]

→ 2000R Phase 3: finalize:  34%|███▍      | 95/279 [00:01<00:03, 57.39it/s]

→ 2000R Phase 3: finalize:  36%|███▌      | 101/279 [00:01<00:03, 55.43it/s]

→ 2000R Phase 3: finalize:  38%|███▊      | 107/279 [00:01<00:03, 54.94it/s]

→ 2000R Phase 3: finalize:  41%|████      | 113/279 [00:01<00:03, 54.34it/s]

→ 2000R Phase 3: finalize:  43%|████▎     | 119/279 [00:02<00:02, 53.76it/s]

→ 2000R Phase 3: finalize:  45%|████▍     | 125/279 [00:02<00:02, 53.34it/s]

→ 2000R Phase 3: finalize:  47%|████▋     | 131/279 [00:02<00:02, 53.09it/s]

→ 2000R Phase 3: finalize:  49%|████▉     | 137/279 [00:02<00:02, 52.88it/s]

→ 2000R Phase 3: finalize:  51%|█████▏    | 143/279 [00:02<00:02, 52.61it/s]

→ 2000R Phase 3: finalize:  53%|█████▎    | 149/279 [00:02<00:02, 52.39it/s]

→ 2000R Phase 3: finalize:  56%|█████▌    | 155/279 [00:02<00:02, 52.20it/s]

→ 2000R Phase 3: finalize:  58%|█████▊    | 161/279 [00:02<00:02, 52.05it/s]

→ 2000R Phase 3: finalize:  60%|█████▉    | 167/279 [00:02<00:02, 51.97it/s]

→ 2000R Phase 3: finalize:  62%|██████▏   | 173/279 [00:03<00:02, 51.78it/s]

→ 2000R Phase 3: finalize:  64%|██████▍   | 179/279 [00:03<00:01, 51.67it/s]

→ 2000R Phase 3: finalize:  66%|██████▋   | 185/279 [00:03<00:01, 51.61it/s]

→ 2000R Phase 3: finalize:  68%|██████▊   | 191/279 [00:03<00:01, 51.49it/s]

→ 2000R Phase 3: finalize:  71%|███████   | 197/279 [00:03<00:01, 51.39it/s]

→ 2000R Phase 3: finalize:  73%|███████▎  | 203/279 [00:03<00:01, 51.32it/s]

→ 2000R Phase 3: finalize:  75%|███████▍  | 209/279 [00:03<00:01, 51.36it/s]

→ 2000R Phase 3: finalize:  77%|███████▋  | 215/279 [00:03<00:01, 51.41it/s]

→ 2000R Phase 3: finalize:  79%|███████▉  | 221/279 [00:03<00:01, 51.44it/s]

→ 2000R Phase 3: finalize:  81%|████████▏ | 227/279 [00:04<00:01, 51.43it/s]

→ 2000R Phase 3: finalize:  84%|████████▎ | 233/279 [00:04<00:00, 51.50it/s]

→ 2000R Phase 3: finalize:  86%|████████▌ | 239/279 [00:04<00:00, 51.53it/s]

→ 2000R Phase 3: finalize:  88%|████████▊ | 245/279 [00:04<00:00, 51.51it/s]

→ 2000R Phase 3: finalize:  90%|████████▉ | 251/279 [00:04<00:00, 51.39it/s]

→ 2000R Phase 3: finalize:  92%|█████████▏| 257/279 [00:04<00:00, 51.38it/s]

→ 2000R Phase 3: finalize:  94%|█████████▍| 263/279 [00:04<00:00, 51.52it/s]

→ 2000R Phase 3: finalize:  96%|█████████▋| 269/279 [00:04<00:00, 51.82it/s]

→ 2000R Phase 3: finalize:  99%|█████████▊| 275/279 [00:05<00:00, 52.05it/s]

                                                                            
[TIMING] 2000R — 280 frames
  Phase 1  radial detect   (parallel)  :   4.39s  (15.7 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.27s  (8.2 ms/frame)
  Phase 2b corner fix      (sequential):   0.95s
  Phase 3  finalize        (sequential):   5.10s  (18.2 ms/frame)
    decode + undistort                 :   2.55s  (9.1 ms/frame)
    corner apply + refinement          :   1.16s  (4.1 ms/frame)
    segment                            :   1.13s  (4.0 ms/frame)
    smooth                             :   0.17s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  12.71s


Processing Rigs:  50%|█████     | 2/4 [00:26<00:26, 13.43s/it][INFO] Filtered 462 stationary frames, 258 remain


→ 1500 (258 images) Phase 1:   0%|          | 0/258 [00:00<?, ?it/s]

→ 1500 (258 images) Phase 1:   0%|          | 1/258 [00:00<02:21,  1.82it/s]

→ 1500 (258 images) Phase 1:   2%|▏         | 4/258 [00:00<00:33,  7.51it/s]

→ 1500 (258 images) Phase 1:  11%|█         | 29/258 [00:00<00:03, 61.73it/s]

→ 1500 (258 images) Phase 1:  16%|█▋        | 42/258 [00:01<00:04, 45.03it/s]

→ 1500 (258 images) Phase 1:  25%|██▍       | 64/258 [00:01<00:02, 70.55it/s]

→ 1500 (258 images) Phase 1:  29%|██▉       | 76/258 [00:01<00:03, 55.70it/s]

→ 1500 (258 images) Phase 1:  37%|███▋      | 95/258 [00:01<00:02, 75.35it/s]

→ 1500 (258 images) Phase 1:  41%|████▏     | 107/258 [00:02<00:02, 57.64it/s]

→ 1500 (258 images) Phase 1:  49%|████▉     | 127/258 [00:02<00:01, 78.17it/s]

→ 1500 (258 images) Phase 1:  54%|█████▍    | 139/258 [00:02<00:02, 59.34it/s]

→ 1500 (258 images) Phase 1:  62%|██████▏   | 159/258 [00:02<00:01, 77.41it/s]

→ 1500 (258 images) Phase 1:  66%|██████▋   | 171/258 [00:03<00:01, 60.84it/s]

→ 1500 (258 images) Phase 1:  73%|███████▎  | 189/258 [00:03<00:00, 78.16it/s]

→ 1500 (258 images) Phase 1:  78%|███████▊  | 201/258 [00:03<00:00, 60.02it/s]

→ 1500 (258 images) Phase 1:  86%|████████▌ | 221/258 [00:03<00:00, 79.18it/s]

→ 1500 (258 images) Phase 1:  90%|█████████ | 233/258 [00:03<00:00, 61.22it/s]

→ 1500 (258 images) Phase 1:  98%|█████████▊| 253/258 [00:04<00:00, 80.96it/s]

                                                                              

→ 1500 Phase 2: corners:   0%|          | 0/257 [00:00<?, ?it/s]

→ 1500 Phase 2: corners:   0%|          | 1/257 [00:00<01:11,  3.57it/s]

→ 1500 Phase 2: corners:   7%|▋         | 17/257 [00:00<00:04, 55.42it/s]

→ 1500 Phase 2: corners:  11%|█         | 28/257 [00:00<00:03, 72.13it/s]

→ 1500 Phase 2: corners:  17%|█▋        | 43/257 [00:00<00:02, 95.38it/s]

→ 1500 Phase 2: corners:  22%|██▏       | 56/257 [00:00<00:01, 105.80it/s]

→ 1500 Phase 2: corners:  27%|██▋       | 69/257 [00:00<00:01, 105.25it/s]

→ 1500 Phase 2: corners:  32%|███▏      | 82/257 [00:00<00:01, 111.79it/s]

→ 1500 Phase 2: corners:  37%|███▋      | 96/257 [00:01<00:01, 117.37it/s]

→ 1500 Phase 2: corners:  43%|████▎     | 110/257 [00:01<00:01, 119.18it/s]

→ 1500 Phase 2: corners:  49%|████▉     | 126/257 [00:01<00:01, 127.54it/s]

→ 1500 Phase 2: corners:  55%|█████▍    | 141/257 [00:01<00:00, 131.97it/s]

→ 1500 Phase 2: corners:  60%|██████    | 155/257 [00:01<00:00, 133.95it/s]

→ 1500 Phase 2: corners:  66%|██████▌   | 169/257 [00:01<00:00, 130.36it/s]

→ 1500 Phase 2: corners:  71%|███████   | 183/257 [00:01<00:00, 126.18it/s]

→ 1500 Phase 2: corners:  76%|███████▋  | 196/257 [00:01<00:00, 124.43it/s]

→ 1500 Phase 2: corners:  81%|████████▏ | 209/257 [00:01<00:00, 119.89it/s]

→ 1500 Phase 2: corners:  87%|████████▋ | 223/257 [00:02<00:00, 120.50it/s]

→ 1500 Phase 2: corners:  97%|█████████▋| 249/257 [00:02<00:00, 158.58it/s]

                                                                           [PASS2] Frame 0000185: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000186: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000187: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000188: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000189: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000379: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000380: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000381: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000382: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000383: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000484: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000485: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000486: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000487: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000488: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000489: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000490: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000751: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000752: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000753: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000754: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000187: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000188: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000487: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Frame 0000489: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000753: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000486: fixed corners {2, 3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000487: fixed corners {2} (was_fixed=True, trusted=False)
[PASS2] Summary: 11 frames fixed, 16 untrusted, 257 total


→ 1500 Phase 3: finalize:   0%|          | 0/257 [00:00<?, ?it/s]

→ 1500 Phase 3: finalize:   3%|▎         | 7/257 [00:00<00:04, 60.24it/s]

→ 1500 Phase 3: finalize:   5%|▌         | 14/257 [00:00<00:03, 60.98it/s]

→ 1500 Phase 3: finalize:   8%|▊         | 21/257 [00:00<00:03, 63.65it/s]

→ 1500 Phase 3: finalize:  11%|█         | 28/257 [00:00<00:03, 65.08it/s]

→ 1500 Phase 3: finalize:  14%|█▎        | 35/257 [00:00<00:03, 65.43it/s]

→ 1500 Phase 3: finalize:  16%|█▋        | 42/257 [00:00<00:03, 65.15it/s]

→ 1500 Phase 3: finalize:  19%|█▉        | 49/257 [00:00<00:03, 65.32it/s]

→ 1500 Phase 3: finalize:  22%|██▏       | 56/257 [00:00<00:03, 65.46it/s]

→ 1500 Phase 3: finalize:  25%|██▍       | 63/257 [00:00<00:02, 65.51it/s]

→ 1500 Phase 3: finalize:  27%|██▋       | 70/257 [00:01<00:02, 65.68it/s]

→ 1500 Phase 3: finalize:  30%|██▉       | 77/257 [00:01<00:02, 64.31it/s]

→ 1500 Phase 3: finalize:  33%|███▎      | 84/257 [00:01<00:02, 60.30it/s]

→ 1500 Phase 3: finalize:  35%|███▌      | 91/257 [00:01<00:02, 57.89it/s]

→ 1500 Phase 3: finalize:  38%|███▊      | 97/257 [00:01<00:02, 56.51it/s]

→ 1500 Phase 3: finalize:  40%|████      | 103/257 [00:01<00:02, 55.54it/s]

→ 1500 Phase 3: finalize:  42%|████▏     | 109/257 [00:01<00:02, 54.80it/s]

→ 1500 Phase 3: finalize:  45%|████▍     | 115/257 [00:01<00:02, 54.17it/s]

→ 1500 Phase 3: finalize:  47%|████▋     | 121/257 [00:02<00:02, 53.71it/s]

→ 1500 Phase 3: finalize:  49%|████▉     | 127/257 [00:02<00:02, 53.32it/s]

→ 1500 Phase 3: finalize:  52%|█████▏    | 133/257 [00:02<00:02, 53.20it/s]

→ 1500 Phase 3: finalize:  54%|█████▍    | 139/257 [00:02<00:02, 53.08it/s]

→ 1500 Phase 3: finalize:  56%|█████▋    | 145/257 [00:02<00:02, 53.08it/s]

→ 1500 Phase 3: finalize:  59%|█████▉    | 151/257 [00:02<00:01, 53.13it/s]

→ 1500 Phase 3: finalize:  61%|██████    | 157/257 [00:02<00:01, 53.11it/s]

→ 1500 Phase 3: finalize:  63%|██████▎   | 163/257 [00:02<00:01, 53.04it/s]

→ 1500 Phase 3: finalize:  66%|██████▌   | 169/257 [00:02<00:01, 53.15it/s]

→ 1500 Phase 3: finalize:  68%|██████▊   | 175/257 [00:03<00:01, 53.26it/s]

→ 1500 Phase 3: finalize:  70%|███████   | 181/257 [00:03<00:01, 53.45it/s]

→ 1500 Phase 3: finalize:  73%|███████▎  | 187/257 [00:03<00:01, 53.78it/s]

→ 1500 Phase 3: finalize:  75%|███████▌  | 193/257 [00:03<00:01, 53.73it/s]

→ 1500 Phase 3: finalize:  77%|███████▋  | 199/257 [00:03<00:01, 53.61it/s]

→ 1500 Phase 3: finalize:  80%|███████▉  | 205/257 [00:03<00:00, 53.65it/s]

→ 1500 Phase 3: finalize:  82%|████████▏ | 211/257 [00:03<00:00, 53.57it/s]

→ 1500 Phase 3: finalize:  84%|████████▍ | 217/257 [00:03<00:00, 53.62it/s]

→ 1500 Phase 3: finalize:  87%|████████▋ | 223/257 [00:03<00:00, 53.89it/s]

→ 1500 Phase 3: finalize:  89%|████████▉ | 229/257 [00:04<00:00, 54.12it/s]

→ 1500 Phase 3: finalize:  91%|█████████▏| 235/257 [00:04<00:00, 54.30it/s]

→ 1500 Phase 3: finalize:  94%|█████████▍| 241/257 [00:04<00:00, 54.26it/s]

→ 1500 Phase 3: finalize:  96%|█████████▌| 247/257 [00:04<00:00, 54.10it/s]

→ 1500 Phase 3: finalize:  98%|█████████▊| 253/257 [00:04<00:00, 54.09it/s]

                                                                           
[TIMING] 1500 — 258 frames
  Phase 1  radial detect   (parallel)  :   4.22s  (16.3 ms/frame)
  Phase 2a corner detect   (parallel)  :   2.21s  (8.6 ms/frame)
  Phase 2b corner fix      (sequential):   0.56s
  Phase 3  finalize        (sequential):   4.56s  (17.7 ms/frame)
    decode + undistort                 :   2.30s  (8.9 ms/frame)
    corner apply + refinement          :   0.98s  (3.8 ms/frame)
    segment                            :   1.03s  (4.0 ms/frame)
    smooth                             :   0.16s  (0.6 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :  11.55s


Processing Rigs:  75%|███████▌  | 3/4 [00:40<00:13, 13.74s/it][INFO] Filtered 405 stationary frames, 164 remain


→ 1000 (164 images) Phase 1:   0%|          | 0/164 [00:00<?, ?it/s]

→ 1000 (164 images) Phase 1:   1%|          | 1/164 [00:00<01:22,  1.98it/s]

→ 1000 (164 images) Phase 1:   1%|          | 2/164 [00:00<00:51,  3.12it/s]

→ 1000 (164 images) Phase 1:  20%|██        | 33/164 [00:00<00:02, 50.53it/s]

→ 1000 (164 images) Phase 1:  24%|██▍       | 39/164 [00:01<00:03, 37.78it/s]

→ 1000 (164 images) Phase 1:  40%|███▉      | 65/164 [00:01<00:01, 68.27it/s]

→ 1000 (164 images) Phase 1:  46%|████▌     | 75/164 [00:01<00:01, 52.26it/s]

→ 1000 (164 images) Phase 1:  59%|█████▉    | 97/164 [00:01<00:01, 66.39it/s]

→ 1000 (164 images) Phase 1:  65%|██████▍   | 106/164 [00:02<00:01, 57.27it/s]

→ 1000 (164 images) Phase 1:  79%|███████▊  | 129/164 [00:02<00:00, 71.07it/s]

→ 1000 (164 images) Phase 1:  84%|████████▎ | 137/164 [00:02<00:00, 60.78it/s]

→ 1000 (164 images) Phase 1:  98%|█████████▊| 161/164 [00:02<00:00, 82.43it/s]

                                                                              

→ 1000 Phase 2: corners:   0%|          | 0/163 [00:00<?, ?it/s]

→ 1000 Phase 2: corners:   1%|          | 1/163 [00:00<00:48,  3.37it/s]

→ 1000 Phase 2: corners:   9%|▉         | 15/163 [00:00<00:03, 47.67it/s]

→ 1000 Phase 2: corners:  18%|█▊        | 29/163 [00:00<00:01, 75.29it/s]

→ 1000 Phase 2: corners:  25%|██▍       | 40/163 [00:00<00:01, 72.80it/s]

→ 1000 Phase 2: corners:  32%|███▏      | 52/163 [00:00<00:01, 82.90it/s]

→ 1000 Phase 2: corners:  40%|███▉      | 65/163 [00:00<00:01, 94.48it/s]

→ 1000 Phase 2: corners:  48%|████▊     | 78/163 [00:00<00:00, 100.47it/s]

→ 1000 Phase 2: corners:  58%|█████▊    | 94/163 [00:01<00:00, 114.77it/s]

→ 1000 Phase 2: corners:  66%|██████▌   | 107/163 [00:01<00:00, 109.88it/s]

→ 1000 Phase 2: corners:  73%|███████▎  | 119/163 [00:01<00:00, 103.35it/s]

→ 1000 Phase 2: corners:  83%|████████▎ | 136/163 [00:01<00:00, 120.66it/s]

→ 1000 Phase 2: corners:  92%|█████████▏| 150/163 [00:01<00:00, 121.66it/s]

→ 1000 Phase 2: corners: 100%|██████████| 163/163 [00:01<00:00, 122.19it/s]

                                                                           [PASS2] Frame 0000127: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000128: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000129: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000130: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000131: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000249: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000250: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000251: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000252: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000253: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000254: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000536: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000537: fixed corners {3} (was_fixed=False, trusted=False)
[PASS2] Frame 0000538: fixed corners {3} (was_fixed=True, trusted=False)
[PASS2] Frame 0000539: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000129: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000130: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Frame 0000249: fixed corners {2} (was_fixed=False, trusted=False)
[PASS2] Frame 0000250: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000251: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000252: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000253: fixed corners {2} (was_fixed=True, trusted=True)
[PASS2] Frame 0000538: fixed corners {3} (was_fixed=True, trusted=True)
[PASS2] Summary: 10 frames fixed, 5 untrusted, 163 total


→ 1000 Phase 3: finalize:   0%|          | 0/163 [00:00<?, ?it/s]

→ 1000 Phase 3: finalize:   4%|▍         | 7/163 [00:00<00:02, 61.75it/s]

→ 1000 Phase 3: finalize:   9%|▊         | 14/163 [00:00<00:02, 61.28it/s]

→ 1000 Phase 3: finalize:  13%|█▎        | 21/163 [00:00<00:02, 63.72it/s]

→ 1000 Phase 3: finalize:  17%|█▋        | 28/163 [00:00<00:02, 65.20it/s]

→ 1000 Phase 3: finalize:  21%|██▏       | 35/163 [00:00<00:01, 66.45it/s]

→ 1000 Phase 3: finalize:  26%|██▌       | 42/163 [00:00<00:01, 67.10it/s]

→ 1000 Phase 3: finalize:  30%|███       | 49/163 [00:00<00:01, 67.59it/s]

→ 1000 Phase 3: finalize:  34%|███▍      | 56/163 [00:00<00:01, 67.46it/s]

→ 1000 Phase 3: finalize:  39%|███▊      | 63/163 [00:00<00:01, 67.34it/s]

→ 1000 Phase 3: finalize:  43%|████▎     | 70/163 [00:01<00:01, 67.08it/s]

→ 1000 Phase 3: finalize:  47%|████▋     | 77/163 [00:01<00:01, 65.35it/s]

→ 1000 Phase 3: finalize:  52%|█████▏    | 84/163 [00:01<00:01, 61.35it/s]

→ 1000 Phase 3: finalize:  56%|█████▌    | 91/163 [00:01<00:01, 59.02it/s]

→ 1000 Phase 3: finalize:  60%|█████▉    | 97/163 [00:01<00:01, 57.67it/s]

→ 1000 Phase 3: finalize:  63%|██████▎   | 103/163 [00:01<00:01, 56.65it/s]

→ 1000 Phase 3: finalize:  67%|██████▋   | 109/163 [00:01<00:00, 55.96it/s]

→ 1000 Phase 3: finalize:  71%|███████   | 115/163 [00:01<00:00, 55.41it/s]

→ 1000 Phase 3: finalize:  74%|███████▍  | 121/163 [00:01<00:00, 55.03it/s]

→ 1000 Phase 3: finalize:  78%|███████▊  | 127/163 [00:02<00:00, 55.09it/s]

→ 1000 Phase 3: finalize:  82%|████████▏ | 133/163 [00:02<00:00, 55.15it/s]

→ 1000 Phase 3: finalize:  85%|████████▌ | 139/163 [00:02<00:00, 55.16it/s]

→ 1000 Phase 3: finalize:  89%|████████▉ | 145/163 [00:02<00:00, 55.11it/s]

→ 1000 Phase 3: finalize:  93%|█████████▎| 151/163 [00:02<00:00, 55.15it/s]

→ 1000 Phase 3: finalize:  96%|█████████▋| 157/163 [00:02<00:00, 54.93it/s]

→ 1000 Phase 3: finalize: 100%|██████████| 163/163 [00:02<00:00, 54.63it/s]

                                                                           
[TIMING] 1000 — 164 frames
  Phase 1  radial detect   (parallel)  :   3.05s  (18.6 ms/frame)
  Phase 2a corner detect   (parallel)  :   1.80s  (11.1 ms/frame)
  Phase 2b corner fix      (sequential):   0.36s
  Phase 3  finalize        (sequential):   2.75s  (16.8 ms/frame)
    decode + undistort                 :   1.39s  (8.5 ms/frame)
    corner apply + refinement          :   0.55s  (3.4 ms/frame)
    segment                            :   0.64s  (3.9 ms/frame)
    smooth                             :   0.12s  (0.7 ms/frame)
    distort back                       :   0.00s  (0.0 ms/frame)
  Total                                :   7.97s


Processing Rigs: 100%|██████████| 4/4 [00:50<00:00, 12.25s/it]
Processing Rigs: 100%|██████████| 4/4 [00:50<00:00, 12.53s/it]
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/1_digitized_full/rig_frames_full.json
[✅] Saved full dataset: 878 frames from 4 rigs to /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/1_digitized_full/rig_frames_full.json
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/1_digitized_full/rig_frames_full.json
[📋] Creating calibration subset (100 frames/rig) with visualizations...
[📋] 2000L: 100 frames selected from 179
[📋] 2000R: 100 frames selected from 279
[📋] 1500: 100 frames selected from 257
[📋] 1000: 100 frames selected from 163
[💾] Saved RigFrameDataset to /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/1_digitized/rig_frames.json
[INFO] Reloading dataset from disk to ensure clean state for multiprocessing...
[📂] Loaded RigFrameDataset from /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/1_digitized/rig_frames.json

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

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

Computing max image from bright frames:   0%|          | 0/80 [00:00<?, ?it/s]
Computing max image from bright frames:   1%|▏         | 1/80 [00:01<02:13,  1.69s/it]
Computing max image from bright frames:   2%|▎         | 2/80 [00:02<01:48,  1.39s/it]
Computing max image from bright frames:   4%|▍         | 3/80 [00:03<01:06,  1.16it/s]
Computing max image from bright frames:   5%|▌         | 4/80 [00:03<00:46,  1.64it/s]
Computing max image from bright frames:   6%|▋         | 5/80 [00:03<00:37,  2.01it/s]
Computing max image from bright frames:   8%|▊         | 6/80 [00:03<00:27,  2.74it/s]
Computing max image from bright frames:   9%|▉         | 7/80 [00:04<00:28,  2.57it/s]
Computing max image from bright frames:  10%|█         | 8/80 [00:04<00:22,  3.24it/s]
Computing max image from bright frames:  12%|█▎        | 10/80 [00:04<00:14,  4.78it/s]
Computing max image from bright frames:  15%|█▌        | 12/80 [00:04<00:10,  6.36it/s]
Computing max image from bright frames:  18%|█▊        | 14/80 [00:04<00:08,  8.05it/s]
Computing max image from bright frames:  20%|██        | 16/80 [00:05<00:07,  8.05it/s]
Computing max image from bright frames:  21%|██▏       | 17/80 [00:05<00:07,  8.03it/s]
Computing max image from bright frames:  22%|██▎       | 18/80 [00:05<00:07,  7.79it/s]
Computing max image from bright frames:  24%|██▍       | 19/80 [00:05<00:10,  5.66it/s]
Computing max image from bright frames:  26%|██▋       | 21/80 [00:05<00:08,  7.08it/s]
Computing max image from bright frames:  28%|██▊       | 22/80 [00:05<00:07,  7.56it/s]
Computing max image from bright frames:  29%|██▉       | 23/80 [00:06<00:07,  7.73it/s]
Computing max image from bright frames:  30%|███       | 24/80 [00:06<00:07,  7.05it/s]
Computing max image from bright frames:  31%|███▏      | 25/80 [00:06<00:07,  7.41it/s]
Computing max image from bright frames:  32%|███▎      | 26/80 [00:06<00:07,  7.51it/s]
Computing max image from bright frames:  35%|███▌      | 28/80 [00:06<00:05,  9.90it/s]
Computing max image from bright frames:  38%|███▊      | 30/80 [00:06<00:04, 10.04it/s]
Computing max image from bright frames:  40%|████      | 32/80 [00:06<00:04, 10.53it/s]
Computing max image from bright frames:  42%|████▎     | 34/80 [00:07<00:04, 11.24it/s]
Computing max image from bright frames:  45%|████▌     | 36/80 [00:07<00:05,  8.47it/s]
Computing max image from bright frames:  46%|████▋     | 37/80 [00:07<00:05,  7.51it/s]
Computing max image from bright frames:  48%|████▊     | 38/80 [00:07<00:06,  6.14it/s]
Computing max image from bright frames:  49%|████▉     | 39/80 [00:08<00:06,  6.28it/s]
Computing max image from bright frames:  50%|█████     | 40/80 [00:08<00:06,  6.12it/s]
Computing max image from bright frames:  51%|█████▏    | 41/80 [00:08<00:08,  4.40it/s]
Computing max image from bright frames:  52%|█████▎    | 42/80 [00:08<00:09,  4.12it/s]
Computing max image from bright frames:  54%|█████▍    | 43/80 [00:09<00:07,  4.85it/s]
Computing max image from bright frames:  56%|█████▋    | 45/80 [00:09<00:05,  6.86it/s]
Computing max image from bright frames:  59%|█████▉    | 47/80 [00:09<00:03,  8.25it/s]
Computing max image from bright frames:  60%|██████    | 48/80 [00:09<00:03,  8.33it/s]
Computing max image from bright frames:  64%|██████▍   | 51/80 [00:09<00:02, 10.01it/s]
Computing max image from bright frames:  66%|██████▋   | 53/80 [00:10<00:03,  7.35it/s]
Computing max image from bright frames:  69%|██████▉   | 55/80 [00:10<00:02,  8.94it/s]
Computing max image from bright frames:  71%|███████▏  | 57/80 [00:10<00:02,  8.21it/s]
Computing max image from bright frames:  72%|███████▎  | 58/80 [00:10<00:02,  7.88it/s]
Computing max image from bright frames:  75%|███████▌  | 60/80 [00:10<00:02,  9.72it/s]
Computing max image from bright frames:  79%|███████▉  | 63/80 [00:10<00:01, 13.08it/s]
Computing max image from bright frames:  81%|████████▏ | 65/80 [00:11<00:01, 10.13it/s]
Computing max image from bright frames:  85%|████████▌ | 68/80 [00:11<00:00, 12.86it/s]
Computing max image from bright frames:  88%|████████▊ | 70/80 [00:11<00:00, 11.89it/s]
Computing max image from bright frames:  91%|█████████▏| 73/80 [00:11<00:00, 13.26it/s]
Computing max image from bright frames:  94%|█████████▍| 75/80 [00:12<00:00, 11.05it/s]
Computing max image from bright frames:  96%|█████████▋| 77/80 [00:12<00:00, 10.96it/s]
Computing max image from bright frames:  99%|█████████▉| 79/80 [00:12<00:00, 10.15it/s]
                                                                                       
[✅] Casing detection complete: cx=910.0, cy=941.0

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


  0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   0%|          | 0/100 [00:00<?, ?it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.82it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 300.0} (0.000):   1%|          | 1/100 [00:00<00:25,  3.82it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 314.141} (0.000):   2%|▏         | 2/100 [00:00<00:25,  3.82it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 321.212} (0.000):   3%|▎         | 3/100 [00:00<00:25,  3.82it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   4%|▍         | 4/100 [00:00<00:25,  3.82it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 328.283} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.14it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   5%|▌         | 5/100 [00:00<00:07, 12.14it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 342.424} (0.000):   6%|▌         | 6/100 [00:00<00:07, 12.14it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.001 | Best: {'fx': 356.566} (0.001):   7%|▋         | 7/100 [00:00<00:07, 12.14it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 356.566} (0.001):   8%|▊         | 8/100 [00:00<00:07, 12.14it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.000 | Best: {'fx': 356.566} (0.001):   9%|▉         | 9/100 [00:00<00:05, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.002 | Best: {'fx': 370.707} (0.002):   9%|▉         | 9/100 [00:00<00:05, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.003 | Best: {'fx': 377.778} (0.003):  10%|█         | 10/100 [00:00<00:04, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.001 | Best: {'fx': 377.778} (0.003):  11%|█         | 11/100 [00:00<00:04, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 384.848} (0.004):  12%|█▏        | 12/100 [00:00<00:04, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  13%|█▎        | 13/100 [00:00<00:04, 18.18it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 413.131} (0.005):  14%|█▍        | 14/100 [00:00<00:04, 19.27it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.006 | Best: {'fx': 427.273} (0.006):  14%|█▍        | 14/100 [00:00<00:04, 19.27it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 427.273} (0.006):  15%|█▌        | 15/100 [00:00<00:04, 19.27it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.004 | Best: {'fx': 427.273} (0.006):  16%|█▌        | 16/100 [00:00<00:04, 19.27it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  17%|█▋        | 17/100 [00:00<00:04, 19.27it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.007 | Best: {'fx': 434.343} (0.007):  18%|█▊        | 18/100 [00:00<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.009 | Best: {'fx': 441.414} (0.009):  18%|█▊        | 18/100 [00:00<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.005 | Best: {'fx': 441.414} (0.009):  19%|█▉        | 19/100 [00:00<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.006 | Best: {'fx': 441.414} (0.009):  20%|██        | 20/100 [00:00<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.014 | Best: {'fx': 455.556} (0.014):  21%|██        | 21/100 [00:01<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.011 | Best: {'fx': 455.556} (0.014):  22%|██▏       | 22/100 [00:01<00:03, 23.26it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.011 | Best: {'fx': 455.556} (0.014):  23%|██▎       | 23/100 [00:01<00:02, 27.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.015 | Best: {'fx': 462.626} (0.015):  23%|██▎       | 23/100 [00:01<00:02, 27.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.017 | Best: {'fx': 469.697} (0.017):  24%|██▍       | 24/100 [00:01<00:02, 27.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 476.768} (0.020):  25%|██▌       | 25/100 [00:01<00:02, 27.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.027 | Best: {'fx': 483.838} (0.027):  26%|██▌       | 26/100 [00:01<00:02, 27.68it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.027 | Best: {'fx': 483.838} (0.027):  27%|██▋       | 27/100 [00:01<00:02, 28.52it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.035 | Best: {'fx': 490.909} (0.035):  27%|██▋       | 27/100 [00:01<00:02, 28.52it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.042 | Best: {'fx': 497.98} (0.042):  28%|██▊       | 28/100 [00:01<00:02, 28.52it/s] 
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.062 | Best: {'fx': 512.121} (0.062):  29%|██▉       | 29/100 [00:01<00:02, 28.52it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.050 | Best: {'fx': 512.121} (0.062):  30%|███       | 30/100 [00:01<00:02, 28.52it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.050 | Best: {'fx': 512.121} (0.062):  31%|███       | 31/100 [00:01<00:02, 26.77it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.096 | Best: {'fx': 533.333} (0.096):  31%|███       | 31/100 [00:01<00:02, 26.77it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.083 | Best: {'fx': 533.333} (0.096):  32%|███▏      | 32/100 [00:01<00:02, 26.77it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.105 | Best: {'fx': 526.263} (0.105):  33%|███▎      | 33/100 [00:01<00:02, 26.77it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.105 | Best: {'fx': 526.263} (0.105):  34%|███▍      | 34/100 [00:01<00:03, 20.21it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.067 | Best: {'fx': 526.263} (0.105):  34%|███▍      | 34/100 [00:01<00:03, 20.21it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.081 | Best: {'fx': 526.263} (0.105):  35%|███▌      | 35/100 [00:01<00:03, 20.21it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.057 | Best: {'fx': 526.263} (0.105):  36%|███▌      | 36/100 [00:01<00:03, 20.21it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.046 | Best: {'fx': 526.263} (0.105):  37%|███▋      | 37/100 [00:01<00:03, 20.21it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.046 | Best: {'fx': 526.263} (0.105):  38%|███▊      | 38/100 [00:01<00:02, 23.72it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.042 | Best: {'fx': 526.263} (0.105):  38%|███▊      | 38/100 [00:01<00:02, 23.72it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.050 | Best: {'fx': 526.263} (0.105):  39%|███▉      | 39/100 [00:01<00:02, 23.72it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.035 | Best: {'fx': 526.263} (0.105):  40%|████      | 40/100 [00:01<00:02, 23.72it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.035 | Best: {'fx': 526.263} (0.105):  41%|████      | 41/100 [00:01<00:02, 24.71it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.040 | Best: {'fx': 526.263} (0.105):  41%|████      | 41/100 [00:01<00:02, 24.71it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.032 | Best: {'fx': 526.263} (0.105):  42%|████▏     | 42/100 [00:01<00:02, 24.71it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.037 | Best: {'fx': 526.263} (0.105):  43%|████▎     | 43/100 [00:01<00:02, 24.71it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.037 | Best: {'fx': 526.263} (0.105):  44%|████▍     | 44/100 [00:01<00:02, 25.57it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.034 | Best: {'fx': 526.263} (0.105):  44%|████▍     | 44/100 [00:01<00:02, 25.57it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.031 | Best: {'fx': 526.263} (0.105):  45%|████▌     | 45/100 [00:02<00:02, 25.57it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.030 | Best: {'fx': 526.263} (0.105):  46%|████▌     | 46/100 [00:02<00:02, 25.57it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.030 | Best: {'fx': 526.263} (0.105):  47%|████▋     | 47/100 [00:02<00:02, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.028 | Best: {'fx': 526.263} (0.105):  47%|████▋     | 47/100 [00:02<00:02, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.027 | Best: {'fx': 526.263} (0.105):  48%|████▊     | 48/100 [00:02<00:01, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.028 | Best: {'fx': 526.263} (0.105):  49%|████▉     | 49/100 [00:02<00:01, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.029 | Best: {'fx': 526.263} (0.105):  50%|█████     | 50/100 [00:02<00:01, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.026 | Best: {'fx': 526.263} (0.105):  51%|█████     | 51/100 [00:02<00:01, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.025 | Best: {'fx': 526.263} (0.105):  52%|█████▏    | 52/100 [00:02<00:01, 26.43it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.025 | Best: {'fx': 526.263} (0.105):  53%|█████▎    | 53/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.105):  53%|█████▎    | 53/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.027 | Best: {'fx': 526.263} (0.105):  54%|█████▍    | 54/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.025 | Best: {'fx': 526.263} (0.105):  55%|█████▌    | 55/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.105):  56%|█████▌    | 56/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  57%|█████▋    | 57/100 [00:02<00:01, 30.06it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  58%|█████▊    | 58/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.024 | Best: {'fx': 526.263} (0.105):  58%|█████▊    | 58/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  59%|█████▉    | 59/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  60%|██████    | 60/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  61%|██████    | 61/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  62%|██████▏   | 62/100 [00:02<00:01, 32.94it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  63%|██████▎   | 63/100 [00:02<00:01, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  63%|██████▎   | 63/100 [00:02<00:01, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  64%|██████▍   | 64/100 [00:02<00:00, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  65%|██████▌   | 65/100 [00:02<00:00, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.022 | Best: {'fx': 526.263} (0.105):  66%|██████▌   | 66/100 [00:02<00:00, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.023 | Best: {'fx': 526.263} (0.105):  67%|██████▋   | 67/100 [00:02<00:00, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  68%|██████▊   | 68/100 [00:02<00:00, 36.31it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  69%|██████▉   | 69/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  69%|██████▉   | 69/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  70%|███████   | 70/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  71%|███████   | 71/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.021 | Best: {'fx': 526.263} (0.105):  72%|███████▏  | 72/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  73%|███████▎  | 73/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  74%|███████▍  | 74/100 [00:02<00:00, 39.44it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  75%|███████▌  | 75/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  75%|███████▌  | 75/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  76%|███████▌  | 76/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  77%|███████▋  | 77/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  78%|███████▊  | 78/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  79%|███████▉  | 79/100 [00:02<00:00, 42.85it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  80%|████████  | 80/100 [00:02<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  80%|████████  | 80/100 [00:02<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  81%|████████  | 81/100 [00:02<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.020 | Best: {'fx': 526.263} (0.105):  82%|████████▏ | 82/100 [00:02<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  83%|████████▎ | 83/100 [00:02<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  84%|████████▍ | 84/100 [00:03<00:00, 34.93it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  85%|████████▌ | 85/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  85%|████████▌ | 85/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  86%|████████▌ | 86/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  87%|████████▋ | 87/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  88%|████████▊ | 88/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  89%|████████▉ | 89/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  90%|█████████ | 90/100 [00:03<00:00, 35.99it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  91%|█████████ | 91/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  91%|█████████ | 91/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  92%|█████████▏| 92/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  93%|█████████▎| 93/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  94%|█████████▍| 94/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  95%|█████████▌| 95/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  96%|█████████▌| 96/100 [00:03<00:00, 31.05it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  97%|█████████▋| 97/100 [00:03<00:00, 35.58it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  97%|█████████▋| 97/100 [00:03<00:00, 35.58it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.018 | Best: {'fx': 526.263} (0.105):  98%|█████████▊| 98/100 [00:03<00:00, 35.58it/s]
Brute | Start: {'fx': 500.0} (0.044) | Current: 0.019 | Best: {'fx': 526.263} (0.105):  99%|█████████▉| 99/100 [00:03<00:00, 35.58it/s]
                                                                                                                                       

  0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.048 | Best: {'fx': 503.303} (0.048):   0%|          | 0/50 [00:00<?, ?it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.048 | Best: {'fx': 503.303} (0.048):   2%|▏         | 1/50 [00:00<00:28,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.045 | Best: {'fx': 503.303} (0.048):   2%|▏         | 1/50 [00:00<00:28,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.046 | Best: {'fx': 503.303} (0.048):   4%|▍         | 2/50 [00:00<00:27,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.051 | Best: {'fx': 505.344} (0.051):   6%|▌         | 3/50 [00:00<00:27,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.049 | Best: {'fx': 505.344} (0.051):   8%|▊         | 4/50 [00:00<00:26,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.052 | Best: {'fx': 506.365} (0.052):  10%|█         | 5/50 [00:00<00:25,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.054 | Best: {'fx': 507.385} (0.054):  12%|█▏        | 6/50 [00:00<00:25,  1.74it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.054 | Best: {'fx': 507.385} (0.054):  14%|█▍        | 7/50 [00:00<00:03, 11.67it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.056 | Best: {'fx': 508.405} (0.056):  14%|█▍        | 7/50 [00:00<00:03, 11.67it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.058 | Best: {'fx': 509.426} (0.058):  16%|█▌        | 8/50 [00:00<00:03, 11.67it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.060 | Best: {'fx': 510.446} (0.060):  18%|█▊        | 9/50 [00:00<00:03, 11.67it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.060 | Best: {'fx': 510.446} (0.060):  20%|██        | 10/50 [00:00<00:02, 14.69it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.061 | Best: {'fx': 511.467} (0.061):  20%|██        | 10/50 [00:00<00:02, 14.69it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.063 | Best: {'fx': 512.487} (0.063):  22%|██▏       | 11/50 [00:00<00:02, 14.69it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.069 | Best: {'fx': 514.528} (0.069):  24%|██▍       | 12/50 [00:01<00:02, 14.69it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.069 | Best: {'fx': 514.528} (0.069):  26%|██▌       | 13/50 [00:01<00:02, 15.73it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.074 | Best: {'fx': 516.569} (0.074):  26%|██▌       | 13/50 [00:01<00:02, 15.73it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.066 | Best: {'fx': 516.569} (0.074):  28%|██▊       | 14/50 [00:01<00:02, 15.73it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.077 | Best: {'fx': 517.589} (0.077):  30%|███       | 15/50 [00:01<00:02, 15.73it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.077 | Best: {'fx': 517.589} (0.077):  32%|███▏      | 16/50 [00:01<00:01, 18.63it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.071 | Best: {'fx': 517.589} (0.077):  32%|███▏      | 16/50 [00:01<00:01, 18.63it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.081 | Best: {'fx': 518.61} (0.081):  34%|███▍      | 17/50 [00:01<00:01, 18.63it/s] 
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.093 | Best: {'fx': 521.671} (0.093):  36%|███▌      | 18/50 [00:01<00:01, 18.63it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.093 | Best: {'fx': 521.671} (0.093):  38%|███▊      | 19/50 [00:01<00:01, 19.53it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.084 | Best: {'fx': 521.671} (0.093):  38%|███▊      | 19/50 [00:01<00:01, 19.53it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.102 | Best: {'fx': 523.712} (0.102):  40%|████      | 20/50 [00:01<00:01, 19.53it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.087 | Best: {'fx': 523.712} (0.102):  42%|████▏     | 21/50 [00:01<00:01, 19.53it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.087 | Best: {'fx': 523.712} (0.102):  44%|████▍     | 22/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.106 | Best: {'fx': 525.752} (0.106):  44%|████▍     | 22/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.104 | Best: {'fx': 525.752} (0.106):  46%|████▌     | 23/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.103 | Best: {'fx': 525.752} (0.106):  48%|████▊     | 24/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.099 | Best: {'fx': 525.752} (0.106):  50%|█████     | 25/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.105 | Best: {'fx': 525.752} (0.106):  52%|█████▏    | 26/50 [00:01<00:01, 18.32it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.105 | Best: {'fx': 525.752} (0.106):  54%|█████▍    | 27/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.102 | Best: {'fx': 525.752} (0.106):  54%|█████▍    | 27/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.097 | Best: {'fx': 525.752} (0.106):  56%|█████▌    | 28/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.102 | Best: {'fx': 525.752} (0.106):  58%|█████▊    | 29/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.086 | Best: {'fx': 525.752} (0.106):  60%|██████    | 30/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.102 | Best: {'fx': 525.752} (0.106):  62%|██████▏   | 31/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.094 | Best: {'fx': 525.752} (0.106):  64%|██████▍   | 32/50 [00:01<00:00, 24.44it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.094 | Best: {'fx': 525.752} (0.106):  66%|██████▌   | 33/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.096 | Best: {'fx': 525.752} (0.106):  66%|██████▌   | 33/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.084 | Best: {'fx': 525.752} (0.106):  68%|██████▊   | 34/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.088 | Best: {'fx': 525.752} (0.106):  70%|███████   | 35/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.100 | Best: {'fx': 525.752} (0.106):  72%|███████▏  | 36/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.091 | Best: {'fx': 525.752} (0.106):  74%|███████▍  | 37/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.076 | Best: {'fx': 525.752} (0.106):  76%|███████▌  | 38/50 [00:01<00:00, 31.16it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.076 | Best: {'fx': 525.752} (0.106):  78%|███████▊  | 39/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.079 | Best: {'fx': 525.752} (0.106):  78%|███████▊  | 39/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.082 | Best: {'fx': 525.752} (0.106):  80%|████████  | 40/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.076 | Best: {'fx': 525.752} (0.106):  82%|████████▏ | 41/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.071 | Best: {'fx': 525.752} (0.106):  84%|████████▍ | 42/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.073 | Best: {'fx': 525.752} (0.106):  86%|████████▌ | 43/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.068 | Best: {'fx': 525.752} (0.106):  88%|████████▊ | 44/50 [00:01<00:00, 37.35it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.068 | Best: {'fx': 525.752} (0.106):  90%|█████████ | 45/50 [00:01<00:00, 41.48it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.066 | Best: {'fx': 525.752} (0.106):  90%|█████████ | 45/50 [00:01<00:00, 41.48it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.069 | Best: {'fx': 525.752} (0.106):  92%|█████████▏| 46/50 [00:01<00:00, 41.48it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.064 | Best: {'fx': 525.752} (0.106):  94%|█████████▍| 47/50 [00:01<00:00, 41.48it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.060 | Best: {'fx': 525.752} (0.106):  96%|█████████▌| 48/50 [00:02<00:00, 41.48it/s]
Brute | Start: {'fx': 526.263} (0.105) | Current: 0.062 | Best: {'fx': 525.752} (0.106):  98%|█████████▊| 49/50 [00:02<00:00, 41.48it/s]
                                                                                                                                        
[DEBUG] Parameters after Step 5 (before square optimization):
    fx: 525.7524221809937
    px: 910.0
    py: 941.0
    k1: 0.0
    k2: 0.0
    k3: 0.0
    k4: 0.0
    p1: 0.0
    p2: 0.0
    p3: 0.0
    p4: 0.0
    scale: 3.0
    rotation: 0.0


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

Initial score: 9.3803: 0iter [00:00, ?iter/s][DEBUG] objective(x0) = 9.3803, picklable_objective(x0) = 9.3943

Best score: 9.3943: : 0iter [00:02, ?iter/s] 
Best score: 9.3943: : 1iter [00:02,  2.00s/iter]
Best score: 9.3943: : 1iter [00:02,  2.00s/iter]
Best score: 9.3943: : 2iter [00:02,  2.00s/iter]
Best score: 9.3943: : 3iter [00:02,  1.72iter/s]
Best score: 9.3943: : 3iter [00:02,  1.72iter/s]
Best score: 9.3943: : 4iter [00:02,  1.72iter/s]
Best score: 9.3943: : 5iter [00:02,  3.06iter/s]
Best score: 9.3943: : 5iter [00:02,  3.06iter/s]
Best score: 9.3943: : 6iter [00:02,  3.06iter/s]
Best score: 9.3943: : 7iter [00:02,  4.45iter/s]
Best score: 9.3943: : 7iter [00:02,  4.45iter/s]
Best score: 9.3943: : 8iter [00:02,  4.45iter/s]
Best score: 9.3943: : 9iter [00:02,  5.78iter/s]
Best score: 9.3943: : 9iter [00:02,  5.78iter/s]
Best score: 9.3943: : 10iter [00:02,  5.78iter/s]
Best score: 9.3943: : 11iter [00:02,  6.95iter/s]
Best score: 9.3943: : 11iter [00:02,  6.95iter/s]
Best score: 9.3943: : 12iter [00:03,  6.95iter/s]
Best score: 9.3943: : 13iter [00:03,  8.04iter/s]
Best score: 9.3943: : 13iter [00:03,  8.04iter/s]
Best score: 9.3943: : 14iter [00:03,  8.04iter/s]
Best score: 9.3943: : 15iter [00:03,  8.91iter/s]
Best score: 9.3943: : 15iter [00:03,  8.91iter/s]
Best score: 9.3943: : 16iter [00:03,  8.91iter/s]
Best score: 9.3943: : 17iter [00:03,  9.65iter/s]
Best score: 9.3943: : 17iter [00:03,  9.65iter/s]
Best score: 9.3943: : 18iter [00:03,  9.65iter/s]
Best score: 9.3943: : 19iter [00:03, 10.22iter/s]
Best score: 9.3943: : 19iter [00:03, 10.22iter/s]
Best score: 9.3943: : 20iter [00:03, 10.22iter/s]
Best score: 9.3943: : 21iter [00:03, 10.48iter/s]
Best score: 9.3943: : 21iter [00:03, 10.48iter/s]
Best score: 9.3943: : 22iter [00:03, 10.48iter/s]
Best score: 9.3943: : 23iter [00:03, 10.79iter/s]
Best score: 9.3943: : 23iter [00:03, 10.79iter/s]
Best score: 9.3943: : 24iter [00:04, 10.79iter/s]
Best score: 9.3943: : 25iter [00:04, 10.99iter/s]
Best score: 9.3943: : 25iter [00:04, 10.99iter/s]
Best score: 9.3943: : 26iter [00:04, 10.99iter/s]
Best score: 9.3943: : 27iter [00:04, 11.21iter/s]
Best score: 9.3943: : 27iter [00:04, 11.21iter/s]
Best score: 9.3943: : 28iter [00:04, 11.21iter/s]
Best score: 9.3943: : 29iter [00:04, 11.35iter/s]
Best score: 9.3943: : 29iter [00:04, 11.35iter/s]
Best score: 9.3943: : 30iter [00:04, 11.35iter/s]
Best score: 9.3943: : 31iter [00:04, 11.30iter/s]
Best score: 9.3943: : 31iter [00:04, 11.30iter/s]
Best score: 9.3943: : 32iter [00:04, 11.30iter/s]
Best score: 9.3943: : 33iter [00:04, 11.35iter/s]
Best score: 9.3943: : 33iter [00:04, 11.35iter/s]
Best score: 9.3943: : 34iter [00:04, 11.35iter/s]
Best score: 9.3943: : 35iter [00:04, 11.46iter/s]
Best score: 9.3943: : 35iter [00:05, 11.46iter/s]
Best score: 9.3943: : 36iter [00:05, 11.46iter/s]
Best score: 9.3943: : 37iter [00:05, 11.57iter/s]
Best score: 9.3943: : 37iter [00:05, 11.57iter/s]
Best score: 9.3943: : 38iter [00:05, 11.57iter/s]
Best score: 9.3943: : 39iter [00:05, 11.69iter/s]
Best score: 9.3943: : 39iter [00:05, 11.69iter/s]
Best score: 9.3943: : 40iter [00:05, 11.69iter/s]
Best score: 9.3943: : 41iter [00:05, 11.57iter/s]
Best score: 9.3943: : 41iter [00:05, 11.57iter/s]
Best score: 9.3943: : 42iter [00:05, 11.57iter/s]
Best score: 9.3943: : 43iter [00:05, 11.60iter/s]
Best score: 9.3943: : 43iter [00:05, 11.60iter/s]
Best score: 9.3943: : 44iter [00:05, 11.60iter/s]
Best score: 9.3943: : 45iter [00:05, 11.63iter/s]
Best score: 9.3943: : 45iter [00:05, 11.63iter/s]
Best score: 9.3943: : 46iter [00:05, 11.63iter/s]
Best score: 9.3943: : 47iter [00:05, 11.70iter/s]
Best score: 9.3943: : 47iter [00:06, 11.70iter/s]
Best score: 9.3943: : 48iter [00:06, 11.70iter/s]
Best score: 9.3943: : 49iter [00:06, 11.71iter/s]
[ITER 50] Best: 9.3943
[PARAMS] Current best parameters:
  fx: 525.7524
  fy: 525.7524
  px: 910.0000
  py: 941.0000
  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: 9.3943: : 49iter [00:06, 11.71iter/s]
Best score: 9.3943: : 50iter [00:06, 11.71iter/s]
Best score: 9.3943: : 51iter [00:06, 11.61iter/s]
Best score: 9.3943: : 51iter [00:06, 11.61iter/s]
Best score: 9.3943: : 52iter [00:06, 11.61iter/s]
Best score: 9.3943: : 53iter [00:06, 11.73iter/s]
Best score: 9.3943: : 53iter [00:06, 11.73iter/s]
Best score: 9.3943: : 54iter [00:06, 11.73iter/s]
Best score: 9.3943: : 55iter [00:06, 11.75iter/s]
Best score: 9.3943: : 55iter [00:06, 11.75iter/s]
Best score: 9.3943: : 56iter [00:06, 11.75iter/s]
Best score: 9.3943: : 57iter [00:06, 11.75iter/s]
Best score: 9.3943: : 57iter [00:06, 11.75iter/s]
Best score: 9.3943: : 58iter [00:06, 11.75iter/s]
Best score: 9.3943: : 59iter [00:06, 11.80iter/s]
Best score: 9.3943: : 59iter [00:07, 11.80iter/s]
Best score: 9.3943: : 60iter [00:07, 11.80iter/s]
Best score: 9.3943: : 61iter [00:07, 11.66iter/s]
Best score: 9.3943: : 61iter [00:07, 11.66iter/s]
Best score: 9.3943: : 62iter [00:07, 11.66iter/s]
Best score: 9.3943: : 63iter [00:07, 11.67iter/s]
Best score: 9.3943: : 63iter [00:07, 11.67iter/s]
Best score: 9.3943: : 64iter [00:07, 11.67iter/s]
Best score: 9.3943: : 65iter [00:07, 11.72iter/s]
Best score: 9.3943: : 65iter [00:07, 11.72iter/s]
Best score: 9.3943: : 66iter [00:07, 11.72iter/s]
Best score: 9.3943: : 67iter [00:07, 11.79iter/s]
Best score: 9.3943: : 67iter [00:07, 11.79iter/s]
Best score: 9.3943: : 68iter [00:07, 11.79iter/s]
Best score: 9.3943: : 69iter [00:07, 11.83iter/s]
Best score: 7.6210: : 69iter [00:07, 11.83iter/s]
Best score: 7.6210: : 70iter [00:08, 11.83iter/s]
Best score: 7.6210: : 71iter [00:08, 11.61iter/s]
Best score: 7.6210: : 71iter [00:08, 11.61iter/s]
Best score: 7.6210: : 72iter [00:08, 11.61iter/s]
Best score: 7.6210: : 73iter [00:08, 11.65iter/s]
Best score: 7.6210: : 73iter [00:08, 11.65iter/s]
Best score: 7.6210: : 74iter [00:08, 11.65iter/s]
Best score: 7.6210: : 75iter [00:08, 11.72iter/s]
Best score: 7.6210: : 75iter [00:08, 11.72iter/s]
Best score: 7.6210: : 76iter [00:08, 11.72iter/s]
Best score: 7.6210: : 77iter [00:08, 11.74iter/s]
Best score: 7.6210: : 77iter [00:08, 11.74iter/s]
Best score: 7.6210: : 78iter [00:08, 11.74iter/s]
Best score: 7.6210: : 79iter [00:08, 11.75iter/s]
Best score: 7.6210: : 79iter [00:08, 11.75iter/s]
Best score: 7.6210: : 80iter [00:08, 11.75iter/s]
Best score: 7.6210: : 81iter [00:08, 11.60iter/s]
Best score: 7.6210: : 81iter [00:08, 11.60iter/s]
Best score: 7.6210: : 82iter [00:09, 11.60iter/s]
Best score: 7.6210: : 83iter [00:09, 11.68iter/s]
Best score: 7.6210: : 83iter [00:09, 11.68iter/s]
Best score: 7.6210: : 84iter [00:09, 11.68iter/s]
Best score: 7.6210: : 85iter [00:09, 11.73iter/s]
Best score: 7.6210: : 85iter [00:09, 11.73iter/s]
Best score: 7.6210: : 86iter [00:09, 11.73iter/s]
Best score: 7.6210: : 87iter [00:09, 11.78iter/s]
Best score: 7.6210: : 87iter [00:09, 11.78iter/s]
Best score: 7.6210: : 88iter [00:09, 11.78iter/s]
Best score: 7.6210: : 89iter [00:09, 11.81iter/s]
Best score: 7.6210: : 89iter [00:09, 11.81iter/s]
Best score: 7.6210: : 90iter [00:09, 11.81iter/s]
Best score: 7.6210: : 91iter [00:09, 11.60iter/s]
Best score: 7.6210: : 91iter [00:09, 11.60iter/s]
Best score: 7.6210: : 92iter [00:09, 11.60iter/s]
Best score: 7.6210: : 93iter [00:09, 11.67iter/s]
Best score: 7.6210: : 93iter [00:09, 11.67iter/s]
Best score: 7.6210: : 94iter [00:10, 11.67iter/s]
Best score: 7.6210: : 95iter [00:10, 11.71iter/s]
Best score: 7.6210: : 95iter [00:10, 11.71iter/s]
Best score: 7.6210: : 96iter [00:10, 11.71iter/s]
Best score: 7.6210: : 97iter [00:10, 11.76iter/s]
Best score: 7.6210: : 97iter [00:10, 11.76iter/s]
Best score: 7.6210: : 98iter [00:10, 11.76iter/s]
Best score: 7.6210: : 99iter [00:10, 11.84iter/s]
[ITER 100] Best: 7.6210
[PARAMS] Current best parameters:
  fx: 534.6682
  fy: 531.0769
  px: 906.4193
  py: 953.0771
  k1: 0.01394711
  k2: 0.01380436
  k3: -0.03532948
  k4: 0.01250382
  p1: 0.00818724
  p2: -0.01390396
  p3: 0.00438953
  p4: 0.00953168
  s1: -0.0293
  s2: 0.0090
  s3: -0.0099
  s4: -0.0094
  tilt_x: 0.0539
  tilt_y: -0.0316
  scale: 2.9418
  rotation: -1.2678

Best score: 7.6210: : 99iter [00:10, 11.84iter/s]
Best score: 7.6210: : 100iter [00:10, 11.84iter/s]
Best score: 7.6210: : 101iter [00:10, 10.11iter/s]
Best score: 7.6210: : 101iter [00:10, 10.11iter/s]
Best score: 7.6210: : 102iter [00:10, 10.11iter/s]
Best score: 7.6210: : 103iter [00:10, 10.48iter/s]
Best score: 7.6210: : 103iter [00:10, 10.48iter/s]
Best score: 7.6210: : 104iter [00:11, 10.48iter/s]
Best score: 7.6210: : 105iter [00:11, 10.78iter/s]
Best score: 7.6210: : 105iter [00:11, 10.78iter/s]
Best score: 7.6210: : 106iter [00:11, 10.78iter/s]
Best score: 7.6210: : 107iter [00:11, 11.01iter/s]
Best score: 7.6210: : 107iter [00:11, 11.01iter/s]
Best score: 7.6210: : 108iter [00:11, 11.01iter/s]
Best score: 7.6210: : 109iter [00:11, 11.21iter/s]
Best score: 7.6210: : 109iter [00:11, 11.21iter/s]
Best score: 7.6210: : 110iter [00:11, 11.21iter/s]
Best score: 7.6210: : 111iter [00:11, 11.13iter/s]
Best score: 7.6210: : 111iter [00:11, 11.13iter/s]
Best score: 7.6210: : 112iter [00:11, 11.13iter/s]
Best score: 7.6210: : 113iter [00:11, 11.25iter/s]
Best score: 7.6210: : 113iter [00:11, 11.25iter/s]
Best score: 7.6210: : 114iter [00:11, 11.25iter/s]
Best score: 7.6210: : 115iter [00:11, 11.34iter/s]
Best score: 7.6210: : 115iter [00:11, 11.34iter/s]
Best score: 7.6210: : 116iter [00:12, 11.34iter/s]
Best score: 7.6210: : 117iter [00:12, 11.46iter/s]
Best score: 7.6210: : 117iter [00:12, 11.46iter/s]
Best score: 7.6210: : 118iter [00:12, 11.46iter/s]
Best score: 7.6210: : 119iter [00:12, 11.53iter/s]
Best score: 7.6210: : 119iter [00:12, 11.53iter/s]
Best score: 7.6210: : 120iter [00:12, 11.53iter/s]
Best score: 7.6210: : 121iter [00:12, 11.37iter/s]
Best score: 7.6210: : 121iter [00:12, 11.37iter/s]
Best score: 7.6210: : 122iter [00:12, 11.37iter/s]
Best score: 7.6210: : 123iter [00:12, 11.44iter/s]
Best score: 7.6210: : 123iter [00:12, 11.44iter/s]
Best score: 7.6210: : 124iter [00:12, 11.44iter/s]
Best score: 7.6210: : 125iter [00:12, 11.46iter/s]
Best score: 7.6210: : 125iter [00:12, 11.46iter/s]
Best score: 7.6210: : 126iter [00:12, 11.46iter/s]
Best score: 7.6210: : 127iter [00:12, 11.44iter/s]
Best score: 7.6210: : 127iter [00:13, 11.44iter/s]
Best score: 7.6210: : 128iter [00:13, 11.44iter/s]
Best score: 7.6210: : 129iter [00:13, 11.48iter/s]
Best score: 7.6210: : 129iter [00:13, 11.48iter/s]
Best score: 7.6210: : 130iter [00:13, 11.48iter/s]
Best score: 7.6210: : 131iter [00:13, 11.35iter/s]
Best score: 7.6210: : 131iter [00:13, 11.35iter/s]
Best score: 7.6210: : 132iter [00:13, 11.35iter/s]
Best score: 7.6210: : 133iter [00:13, 11.43iter/s]
Best score: 7.6210: : 133iter [00:13, 11.43iter/s]
Best score: 7.6210: : 134iter [00:13, 11.43iter/s]
Best score: 7.6210: : 135iter [00:13, 11.47iter/s]
Best score: 7.6210: : 135iter [00:13, 11.47iter/s]
Best score: 7.6210: : 136iter [00:13, 11.47iter/s]
Best score: 7.6210: : 137iter [00:13, 11.52iter/s]
Best score: 7.6210: : 137iter [00:13, 11.52iter/s]
Best score: 7.6210: : 138iter [00:13, 11.52iter/s]
Best score: 7.6210: : 139iter [00:13, 11.54iter/s]
Best score: 7.6210: : 139iter [00:14, 11.54iter/s]
Best score: 7.6210: : 140iter [00:14, 11.54iter/s]
Best score: 7.6210: : 141iter [00:14, 11.39iter/s]
Best score: 7.6210: : 141iter [00:14, 11.39iter/s]
Best score: 7.6210: : 142iter [00:14, 11.39iter/s]
Best score: 7.6210: : 143iter [00:14, 11.45iter/s]
Best score: 7.6210: : 143iter [00:14, 11.45iter/s]
Best score: 7.6210: : 144iter [00:14, 11.45iter/s]
Best score: 7.6210: : 145iter [00:14, 11.53iter/s]
Best score: 7.6210: : 145iter [00:14, 11.53iter/s]
Best score: 7.6210: : 146iter [00:14, 11.53iter/s]
Best score: 7.6210: : 147iter [00:14, 11.53iter/s]
Best score: 7.6210: : 147iter [00:14, 11.53iter/s]
Best score: 7.6210: : 148iter [00:14, 11.53iter/s]
Best score: 7.6210: : 149iter [00:14, 11.61iter/s]
[ITER 150] Best: 7.6210
[PARAMS] Current best parameters:
  fx: 534.6682
  fy: 531.0769
  px: 906.4193
  py: 953.0771
  k1: 0.01394711
  k2: 0.01380436
  k3: -0.03532948
  k4: 0.01250382
  p1: 0.00818724
  p2: -0.01390396
  p3: 0.00438953
  p4: 0.00953168
  s1: -0.0293
  s2: 0.0090
  s3: -0.0099
  s4: -0.0094
  tilt_x: 0.0539
  tilt_y: -0.0316
  scale: 2.9418
  rotation: -1.2678

Best score: 7.6210: : 149iter [00:14, 11.61iter/s]
Best score: 7.6210: : 150iter [00:15, 11.61iter/s]
Best score: 7.6210: : 151iter [00:15,  7.60iter/s]
Best score: 7.6210: : 151iter [00:15,  7.60iter/s]
Best score: 7.6210: : 152iter [00:15,  7.60iter/s]
Best score: 7.6210: : 153iter [00:15,  8.52iter/s]
Best score: 7.6210: : 153iter [00:15,  8.52iter/s]
Best score: 7.6210: : 154iter [00:15,  8.52iter/s]
Best score: 7.6210: : 155iter [00:15,  7.75iter/s]
Best score: 7.6210: : 155iter [00:15,  7.75iter/s]
Best score: 7.6210: : 156iter [00:15,  7.75iter/s]
Best score: 7.6210: : 157iter [00:15,  8.65iter/s]
Best score: 7.6210: : 157iter [00:16,  8.65iter/s]
Best score: 7.6210: : 158iter [00:16,  8.65iter/s]
Best score: 7.6210: : 159iter [00:16,  9.41iter/s]
Best score: 7.6210: : 159iter [00:16,  9.41iter/s]
Best score: 7.6210: : 160iter [00:16,  9.41iter/s]
Best score: 7.6210: : 161iter [00:16,  9.85iter/s]
Best score: 7.6210: : 161iter [00:16,  9.85iter/s]
Best score: 7.6210: : 162iter [00:16,  9.85iter/s]
Best score: 7.6210: : 163iter [00:16, 10.34iter/s]
Best score: 7.6210: : 163iter [00:16, 10.34iter/s]
Best score: 7.6210: : 164iter [00:16, 10.34iter/s]
Best score: 7.6210: : 165iter [00:16, 10.74iter/s]
Best score: 7.6210: : 165iter [00:16, 10.74iter/s]
Best score: 7.6210: : 166iter [00:16, 10.74iter/s]
Best score: 7.6210: : 167iter [00:16, 11.02iter/s]
Best score: 7.6210: : 167iter [00:16, 11.02iter/s]
Best score: 7.6210: : 168iter [00:16, 11.02iter/s]
Best score: 7.6210: : 169iter [00:16, 11.22iter/s]
Best score: 7.6210: : 169iter [00:17, 11.22iter/s]
Best score: 7.6210: : 170iter [00:17, 11.22iter/s]
Best score: 7.6210: : 171iter [00:17, 11.23iter/s]
Best score: 7.6210: : 171iter [00:17, 11.23iter/s]
Best score: 7.6210: : 172iter [00:17, 11.23iter/s]
Best score: 7.6210: : 173iter [00:17, 11.41iter/s]
Best score: 7.6210: : 173iter [00:17, 11.41iter/s]
Best score: 7.6210: : 174iter [00:17, 11.41iter/s]
Best score: 7.6210: : 175iter [00:17, 11.54iter/s]
Best score: 7.6210: : 175iter [00:17, 11.54iter/s]
Best score: 7.6210: : 176iter [00:17, 11.54iter/s]
Best score: 7.6210: : 177iter [00:17, 11.64iter/s]
Best score: 7.6210: : 177iter [00:17, 11.64iter/s]
Best score: 7.6210: : 178iter [00:17, 11.64iter/s]
Best score: 7.6210: : 179iter [00:17, 11.72iter/s]
Best score: 7.6210: : 179iter [00:17, 11.72iter/s]
Best score: 7.6210: : 180iter [00:18, 11.72iter/s]
Best score: 7.6210: : 181iter [00:18, 11.53iter/s]
Best score: 7.6210: : 181iter [00:18, 11.53iter/s]
Best score: 7.6210: : 182iter [00:18, 11.53iter/s]
Best score: 7.6210: : 183iter [00:18, 11.60iter/s]
Best score: 7.6210: : 183iter [00:18, 11.60iter/s]
Best score: 7.6210: : 184iter [00:18, 11.60iter/s]
Best score: 7.6210: : 185iter [00:18, 11.69iter/s]
Best score: 7.6210: : 185iter [00:18, 11.69iter/s]
Best score: 7.6210: : 186iter [00:18, 11.69iter/s]
Best score: 7.6210: : 187iter [00:18, 11.72iter/s]
Best score: 7.6210: : 187iter [00:18, 11.72iter/s]
Best score: 7.6210: : 188iter [00:18, 11.72iter/s]
Best score: 7.6210: : 189iter [00:18, 11.75iter/s]
Best score: 7.6210: : 189iter [00:18, 11.75iter/s]
Best score: 7.6210: : 190iter [00:18, 11.75iter/s]
Best score: 7.6210: : 191iter [00:18, 11.59iter/s]
Best score: 7.6210: : 191iter [00:18, 11.59iter/s]
Best score: 7.6210: : 192iter [00:19, 11.59iter/s]
Best score: 7.6210: : 193iter [00:19, 11.67iter/s]
Best score: 7.6210: : 193iter [00:19, 11.67iter/s]
Best score: 7.6210: : 194iter [00:19, 11.67iter/s]
Best score: 7.6210: : 195iter [00:19, 11.72iter/s]
Best score: 7.6210: : 195iter [00:19, 11.72iter/s]
Best score: 7.6210: : 196iter [00:19, 11.72iter/s]
Best score: 7.6210: : 197iter [00:19, 11.78iter/s]
Best score: 7.6210: : 197iter [00:19, 11.78iter/s]
Best score: 7.6210: : 198iter [00:19, 11.78iter/s]
Best score: 7.6210: : 199iter [00:19, 11.81iter/s]
[ITER 200] Best: 7.6210
[PARAMS] Current best parameters:
  fx: 534.6682
  fy: 531.0769
  px: 906.4193
  py: 953.0771
  k1: 0.01394711
  k2: 0.01380436
  k3: -0.03532948
  k4: 0.01250382
  p1: 0.00818724
  p2: -0.01390396
  p3: 0.00438953
  p4: 0.00953168
  s1: -0.0293
  s2: 0.0090
  s3: -0.0099
  s4: -0.0094
  tilt_x: 0.0539
  tilt_y: -0.0316
  scale: 2.9418
  rotation: -1.2678

Best score: 7.6210: : 199iter [00:19, 11.81iter/s]
Best score: 7.6210: : 200iter [00:20, 11.81iter/s]
Best score: 7.6210: : 201iter [00:20,  7.60iter/s]
Best score: 7.6210: : 201iter [00:20,  7.60iter/s]
Best score: 7.6210: : 202iter [00:20,  7.60iter/s]
Best score: 7.6210: : 203iter [00:20,  8.51iter/s]
Best score: 7.6210: : 203iter [00:20,  8.51iter/s]
Best score: 7.6210: : 204iter [00:20,  8.51iter/s]
Best score: 7.6210: : 205iter [00:20,  9.33iter/s]
Best score: 7.6210: : 205iter [00:20,  9.33iter/s]
Best score: 7.6210: : 206iter [00:20,  9.33iter/s]
Best score: 7.6210: : 207iter [00:20, 10.01iter/s]
Best score: 7.6210: : 207iter [00:20, 10.01iter/s]
Best score: 7.6210: : 208iter [00:20, 10.01iter/s]
Best score: 7.6210: : 209iter [00:20, 10.53iter/s]
Best score: 7.6210: : 209iter [00:20, 10.53iter/s]
Best score: 7.6210: : 210iter [00:20, 10.53iter/s]
Best score: 7.6210: : 211iter [00:20, 10.76iter/s]
Best score: 7.6210: : 211iter [00:20, 10.76iter/s]
Best score: 7.6210: : 212iter [00:21, 10.76iter/s]
Best score: 7.6210: : 213iter [00:21, 11.11iter/s]
Best score: 7.6210: : 213iter [00:21, 11.11iter/s]
Best score: 7.6210: : 214iter [00:21, 11.11iter/s]
Best score: 7.6210: : 215iter [00:21, 11.35iter/s]
Best score: 7.6210: : 215iter [00:21, 11.35iter/s]
Best score: 7.6210: : 216iter [00:21, 11.35iter/s]
Best score: 7.6210: : 217iter [00:21, 11.55iter/s]
Best score: 7.6210: : 217iter [00:21, 11.55iter/s]
Best score: 7.6210: : 218iter [00:21, 11.55iter/s]
Best score: 7.6210: : 219iter [00:21, 11.69iter/s]
Best score: 3.5601: : 219iter [00:21, 11.69iter/s]
Best score: 3.5601: : 220iter [00:21, 11.69iter/s]
Best score: 3.5601: : 221iter [00:21, 11.57iter/s]
Best score: 3.5601: : 221iter [00:21, 11.57iter/s]
Best score: 3.5601: : 222iter [00:21, 11.57iter/s]
Best score: 3.5601: : 223iter [00:21, 11.71iter/s]
Best score: 3.5601: : 223iter [00:21, 11.71iter/s]
Best score: 3.5601: : 224iter [00:22, 11.71iter/s]
Best score: 3.5601: : 225iter [00:22, 11.77iter/s]
Best score: 3.5601: : 225iter [00:22, 11.77iter/s]
Best score: 3.5601: : 226iter [00:22, 11.77iter/s]
Best score: 3.5601: : 227iter [00:22, 11.84iter/s]
Best score: 3.5601: : 227iter [00:22, 11.84iter/s]
Best score: 3.5601: : 228iter [00:22, 11.84iter/s]
Best score: 3.5601: : 229iter [00:22, 11.87iter/s]
Best score: 1.9823: : 229iter [00:22, 11.87iter/s]
Best score: 1.9823: : 230iter [00:22, 11.87iter/s]
Best score: 1.9823: : 231iter [00:22, 11.69iter/s]
Best score: 1.9823: : 231iter [00:22, 11.69iter/s]
Best score: 1.9823: : 232iter [00:22, 11.69iter/s]
Best score: 1.9823: : 233iter [00:22, 11.75iter/s]
Best score: 1.9823: : 233iter [00:22, 11.75iter/s]
Best score: 1.9823: : 234iter [00:22, 11.75iter/s]
Best score: 1.9823: : 235iter [00:22, 11.77iter/s]
Best score: 1.9823: : 235iter [00:22, 11.77iter/s]
Best score: 1.9823: : 236iter [00:23, 11.77iter/s]
Best score: 1.9823: : 237iter [00:23, 11.78iter/s]
Best score: 1.9823: : 237iter [00:23, 11.78iter/s]
Best score: 1.9823: : 238iter [00:23, 11.78iter/s]
Best score: 1.9823: : 239iter [00:23, 11.78iter/s]
Best score: 1.9823: : 239iter [00:23, 11.78iter/s]
Best score: 1.9823: : 240iter [00:23, 11.78iter/s]
Best score: 1.9823: : 241iter [00:23, 11.62iter/s]
Best score: 1.9823: : 241iter [00:23, 11.62iter/s]
Best score: 1.9823: : 242iter [00:23, 11.62iter/s]
Best score: 1.9823: : 243iter [00:23, 11.73iter/s]
Best score: 1.9823: : 243iter [00:23, 11.73iter/s]
Best score: 1.9823: : 244iter [00:23, 11.73iter/s]
Best score: 1.9823: : 245iter [00:23, 11.74iter/s]
Best score: 1.9823: : 245iter [00:23, 11.74iter/s]
Best score: 1.9823: : 246iter [00:23, 11.74iter/s]
Best score: 1.9823: : 247iter [00:23, 11.76iter/s]
Best score: 1.9823: : 247iter [00:24, 11.76iter/s]
Best score: 1.9823: : 248iter [00:24, 11.76iter/s]
Best score: 1.9823: : 249iter [00:24, 11.76iter/s]
[ITER 250] Best: 1.9823
[PARAMS] Current best parameters:
  fx: 514.9357
  fy: 517.1546
  px: 909.2080
  py: 947.4266
  k1: 0.02030666
  k2: 0.04359189
  k3: -0.05895546
  k4: 0.01824002
  p1: -0.00158403
  p2: -0.00833153
  p3: 0.01007744
  p4: 0.00440326
  s1: -0.0178
  s2: 0.0044
  s3: -0.0115
  s4: -0.0105
  tilt_x: 0.0567
  tilt_y: -0.0232
  scale: 2.9236
  rotation: -0.9949

Best score: 1.9823: : 249iter [00:24, 11.76iter/s]
Best score: 1.9823: : 250iter [00:24, 11.76iter/s]
Best score: 1.9823: : 251iter [00:24,  7.64iter/s]
Best score: 1.9823: : 251iter [00:24,  7.64iter/s]
Best score: 1.9823: : 252iter [00:24,  7.64iter/s]
Best score: 1.9823: : 253iter [00:24,  8.55iter/s]
Best score: 1.9823: : 253iter [00:24,  8.55iter/s]
Best score: 1.9823: : 254iter [00:24,  8.55iter/s]
Best score: 1.9823: : 255iter [00:24,  9.31iter/s]
Best score: 1.9823: : 255iter [00:25,  9.31iter/s]
Best score: 1.9823: : 256iter [00:25,  9.31iter/s]
Best score: 1.9823: : 257iter [00:25,  9.89iter/s]
Best score: 1.9823: : 257iter [00:25,  9.89iter/s]
Best score: 1.9823: : 258iter [00:25,  9.89iter/s]
Best score: 1.9823: : 259iter [00:25, 10.42iter/s]
Best score: 1.8046: : 259iter [00:25, 10.42iter/s]
Best score: 1.8046: : 260iter [00:25, 10.42iter/s]
Best score: 1.8046: : 261iter [00:25, 10.66iter/s]
Best score: 1.8046: : 261iter [00:25, 10.66iter/s]
Best score: 1.8046: : 262iter [00:25, 10.66iter/s]
Best score: 1.8046: : 263iter [00:25, 10.99iter/s]
Best score: 1.8046: : 263iter [00:25, 10.99iter/s]
Best score: 1.8046: : 264iter [00:25, 10.99iter/s]
Best score: 1.8046: : 265iter [00:25, 11.22iter/s]
Best score: 1.8046: : 265iter [00:25, 11.22iter/s]
Best score: 1.8046: : 266iter [00:25, 11.22iter/s]
Best score: 1.8046: : 267iter [00:25, 11.44iter/s]
Best score: 1.8046: : 267iter [00:26, 11.44iter/s]
Best score: 1.8046: : 268iter [00:26, 11.44iter/s]
Best score: 1.8046: : 269iter [00:26, 11.55iter/s]
Best score: 1.8046: : 269iter [00:26, 11.55iter/s]
Best score: 1.8046: : 270iter [00:26, 11.55iter/s]
Best score: 1.8046: : 271iter [00:26, 11.44iter/s]
Best score: 1.8046: : 271iter [00:26, 11.44iter/s]
Best score: 1.8046: : 272iter [00:26, 11.44iter/s]
Best score: 1.8046: : 273iter [00:26, 11.59iter/s]
Best score: 1.8046: : 273iter [00:26, 11.59iter/s]
Best score: 1.8046: : 274iter [00:26, 11.59iter/s]
Best score: 1.8046: : 275iter [00:26, 11.69iter/s]
Best score: 1.8046: : 275iter [00:26, 11.69iter/s]
Best score: 1.8046: : 276iter [00:26, 11.69iter/s]
Best score: 1.8046: : 277iter [00:26, 11.72iter/s]
Best score: 1.8046: : 277iter [00:26, 11.72iter/s]
Best score: 1.8046: : 278iter [00:26, 11.72iter/s]
Best score: 1.8046: : 279iter [00:26, 11.77iter/s]
Best score: 1.8046: : 279iter [00:27, 11.77iter/s]
Best score: 1.8046: : 280iter [00:27, 11.77iter/s]
Best score: 1.8046: : 281iter [00:27, 11.60iter/s]
Best score: 1.8046: : 281iter [00:27, 11.60iter/s]
Best score: 1.8046: : 282iter [00:27, 11.60iter/s]
Best score: 1.8046: : 283iter [00:27, 11.69iter/s]
Best score: 1.8046: : 283iter [00:27, 11.69iter/s]
Best score: 1.8046: : 284iter [00:27, 11.69iter/s]
Best score: 1.8046: : 285iter [00:27, 11.77iter/s]
Best score: 1.8046: : 285iter [00:27, 11.77iter/s]
Best score: 1.8046: : 286iter [00:27, 11.77iter/s]
Best score: 1.8046: : 287iter [00:27, 11.79iter/s]
Best score: 1.8046: : 287iter [00:27, 11.79iter/s]
Best score: 1.8046: : 288iter [00:27, 11.79iter/s]
Best score: 1.8046: : 289iter [00:27, 11.82iter/s]
Best score: 1.0727: : 289iter [00:27, 11.82iter/s]
Best score: 1.0727: : 290iter [00:27, 11.82iter/s]
Best score: 1.0727: : 291iter [00:27, 11.67iter/s]
Best score: 1.0727: : 291iter [00:28, 11.67iter/s]
Best score: 1.0727: : 292iter [00:28, 11.67iter/s]
Best score: 1.0727: : 293iter [00:28, 11.74iter/s]
Best score: 1.0727: : 293iter [00:28, 11.74iter/s]
Best score: 1.0727: : 294iter [00:28, 11.74iter/s]
Best score: 1.0727: : 295iter [00:28, 11.78iter/s]
Best score: 1.0727: : 295iter [00:28, 11.78iter/s]
Best score: 1.0727: : 296iter [00:28, 11.78iter/s]
Best score: 1.0727: : 297iter [00:28, 11.83iter/s]
Best score: 1.0727: : 297iter [00:28, 11.83iter/s]
Best score: 1.0727: : 298iter [00:28, 11.83iter/s]
Best score: 1.0727: : 299iter [00:28, 11.85iter/s]
[ITER 300] Best: 1.0727
[PARAMS] Current best parameters:
  fx: 515.9803
  fy: 516.7976
  px: 909.2658
  py: 944.0363
  k1: 0.04908757
  k2: -0.01329800
  k3: -0.01754147
  k4: 0.00772915
  p1: -0.00792134
  p2: -0.00435185
  p3: 0.01176118
  p4: 0.01142519
  s1: -0.0278
  s2: -0.0007
  s3: -0.0089
  s4: -0.0089
  tilt_x: 0.0461
  tilt_y: -0.0157
  scale: 2.9036
  rotation: -1.0083

Best score: 1.0727: : 299iter [00:28, 11.85iter/s]
Best score: 1.0727: : 300iter [00:29, 11.85iter/s]
Best score: 1.0727: : 301iter [00:29,  7.69iter/s]
Best score: 1.0727: : 301iter [00:29,  7.69iter/s]
Best score: 1.0727: : 302iter [00:29,  7.69iter/s]
Best score: 1.0727: : 303iter [00:29,  8.58iter/s]
Best score: 1.0727: : 303iter [00:29,  8.58iter/s]
Best score: 1.0727: : 304iter [00:29,  8.58iter/s]
Best score: 1.0727: : 305iter [00:29,  9.34iter/s]
Best score: 1.0727: : 305iter [00:29,  9.34iter/s]
Best score: 1.0727: : 306iter [00:29,  9.34iter/s]
Best score: 1.0727: : 307iter [00:29,  9.99iter/s]
Best score: 1.0727: : 307iter [00:29,  9.99iter/s]
Best score: 1.0727: : 308iter [00:29,  9.99iter/s]
Best score: 1.0727: : 309iter [00:29, 10.49iter/s]
Best score: 0.9291: : 309iter [00:29, 10.49iter/s]
Best score: 0.9291: : 310iter [00:29, 10.49iter/s]
Best score: 0.9291: : 311iter [00:29, 10.68iter/s]
Best score: 0.9291: : 311iter [00:30, 10.68iter/s]
Best score: 0.9291: : 312iter [00:30, 10.68iter/s]
Best score: 0.9291: : 313iter [00:30, 10.96iter/s]
Best score: 0.9291: : 313iter [00:30, 10.96iter/s]
Best score: 0.9291: : 314iter [00:30, 10.96iter/s]
Best score: 0.9291: : 315iter [00:30, 11.20iter/s]
Best score: 0.9291: : 315iter [00:30, 11.20iter/s]
Best score: 0.9291: : 316iter [00:30, 11.20iter/s]
Best score: 0.9291: : 317iter [00:30, 11.34iter/s]
Best score: 0.9291: : 317iter [00:30, 11.34iter/s]
Best score: 0.9291: : 318iter [00:30, 11.34iter/s]
Best score: 0.9291: : 319iter [00:30, 11.51iter/s]
Best score: 0.7934: : 319iter [00:30, 11.51iter/s]
Best score: 0.7934: : 320iter [00:30, 11.51iter/s]
Best score: 0.7934: : 321iter [00:30, 11.42iter/s]
Best score: 0.7934: : 321iter [00:30, 11.42iter/s]
Best score: 0.7934: : 322iter [00:31, 11.42iter/s]
Best score: 0.7934: : 323iter [00:31, 11.55iter/s]
Best score: 0.7934: : 323iter [00:31, 11.55iter/s]
Best score: 0.7934: : 324iter [00:31, 11.55iter/s]
Best score: 0.7934: : 325iter [00:31, 11.63iter/s]
Best score: 0.7934: : 325iter [00:31, 11.63iter/s]
Best score: 0.7934: : 326iter [00:31, 11.63iter/s]
Best score: 0.7934: : 327iter [00:31, 11.69iter/s]
Best score: 0.7934: : 327iter [00:31, 11.69iter/s]
Best score: 0.7934: : 328iter [00:31, 11.69iter/s]
Best score: 0.7934: : 329iter [00:31, 11.69iter/s]
Best score: 0.7934: : 329iter [00:31, 11.69iter/s]
Best score: 0.7934: : 330iter [00:31, 11.69iter/s]
Best score: 0.7934: : 331iter [00:31, 11.55iter/s]
Best score: 0.7934: : 331iter [00:31, 11.55iter/s]
Best score: 0.7934: : 332iter [00:31, 11.55iter/s]
Best score: 0.7934: : 333iter [00:31, 11.65iter/s]
Best score: 0.7934: : 333iter [00:31, 11.65iter/s]
Best score: 0.7934: : 334iter [00:32, 11.65iter/s]
Best score: 0.7934: : 335iter [00:32, 11.73iter/s]
Best score: 0.7934: : 335iter [00:32, 11.73iter/s]
Best score: 0.7934: : 336iter [00:32, 11.73iter/s]
Best score: 0.7934: : 337iter [00:32, 11.79iter/s]
Best score: 0.7934: : 337iter [00:32, 11.79iter/s]
Best score: 0.7934: : 338iter [00:32, 11.79iter/s]
Best score: 0.7934: : 339iter [00:32, 11.82iter/s]
Best score: 0.6994: : 339iter [00:32, 11.82iter/s]
Best score: 0.6994: : 340iter [00:32, 11.82iter/s]
Best score: 0.6994: : 341iter [00:32, 11.65iter/s]
Best score: 0.6994: : 341iter [00:32, 11.65iter/s]
Best score: 0.6994: : 342iter [00:32, 11.65iter/s]
Best score: 0.6994: : 343iter [00:32, 11.73iter/s]
Best score: 0.6994: : 343iter [00:32, 11.73iter/s]
Best score: 0.6994: : 344iter [00:32, 11.73iter/s]
Best score: 0.6994: : 345iter [00:32, 11.79iter/s]
Best score: 0.6994: : 345iter [00:32, 11.79iter/s]
Best score: 0.6994: : 346iter [00:33, 11.79iter/s]
Best score: 0.6994: : 347iter [00:33, 11.84iter/s]
Best score: 0.6994: : 347iter [00:33, 11.84iter/s]
Best score: 0.6994: : 348iter [00:33, 11.84iter/s]
Best score: 0.6994: : 349iter [00:33, 11.85iter/s]
[ITER 350] Best: 0.6889
[PARAMS] Current best parameters:
  fx: 512.5745
  fy: 512.8207
  px: 908.7004
  py: 943.4857
  k1: 0.06114095
  k2: -0.03304577
  k3: -0.00130707
  k4: 0.00336793
  p1: -0.00854853
  p2: -0.00610259
  p3: 0.00626201
  p4: 0.01569018
  s1: -0.0183
  s2: -0.0044
  s3: -0.0061
  s4: -0.0147
  tilt_x: 0.0479
  tilt_y: -0.0116
  scale: 2.8990
  rotation: -0.9801

Best score: 0.6889: : 349iter [00:33, 11.85iter/s]
Best score: 0.6889: : 350iter [00:33, 11.85iter/s]
Best score: 0.6889: : 351iter [00:33,  7.67iter/s]
Best score: 0.6889: : 351iter [00:33,  7.67iter/s]
Best score: 0.6889: : 352iter [00:33,  7.67iter/s]
Best score: 0.6889: : 353iter [00:33,  8.58iter/s]
Best score: 0.6889: : 353iter [00:33,  8.58iter/s]
Best score: 0.6889: : 354iter [00:34,  8.58iter/s]
Best score: 0.6889: : 355iter [00:34,  9.37iter/s]
Best score: 0.6889: : 355iter [00:34,  9.37iter/s]
Best score: 0.6889: : 356iter [00:34,  9.37iter/s]
Best score: 0.6889: : 357iter [00:34, 10.00iter/s]
Best score: 0.6889: : 357iter [00:34, 10.00iter/s]
Best score: 0.6889: : 358iter [00:34, 10.00iter/s]
Best score: 0.6889: : 359iter [00:34, 10.52iter/s]
Best score: 0.6889: : 359iter [00:34, 10.52iter/s]
Best score: 0.6889: : 360iter [00:34, 10.52iter/s]
Best score: 0.6889: : 361iter [00:34, 10.72iter/s]
Best score: 0.6889: : 361iter [00:34, 10.72iter/s]
Best score: 0.6889: : 362iter [00:34, 10.72iter/s]
Best score: 0.6889: : 363iter [00:34, 11.05iter/s]
Best score: 0.6889: : 363iter [00:34, 11.05iter/s]
Best score: 0.6889: : 364iter [00:34, 11.05iter/s]
Best score: 0.6889: : 365iter [00:34, 11.30iter/s]
Best score: 0.6889: : 365iter [00:34, 11.30iter/s]
Best score: 0.6889: : 366iter [00:35, 11.30iter/s]
Best score: 0.6889: : 367iter [00:35, 11.48iter/s]
Best score: 0.6889: : 367iter [00:35, 11.48iter/s]
Best score: 0.6889: : 368iter [00:35, 11.48iter/s]
Best score: 0.6889: : 369iter [00:35, 11.60iter/s]
Best score: 0.6109: : 369iter [00:35, 11.60iter/s]
Best score: 0.6109: : 370iter [00:35, 11.60iter/s]
Best score: 0.6109: : 371iter [00:35, 11.48iter/s]
Best score: 0.6109: : 371iter [00:35, 11.48iter/s]
Best score: 0.6109: : 372iter [00:35, 11.48iter/s]
Best score: 0.6109: : 373iter [00:35, 11.61iter/s]
Best score: 0.6109: : 373iter [00:35, 11.61iter/s]
Best score: 0.6109: : 374iter [00:35, 11.61iter/s]
Best score: 0.6109: : 375iter [00:35, 11.66iter/s]
Best score: 0.6109: : 375iter [00:35, 11.66iter/s]
Best score: 0.6109: : 376iter [00:35, 11.66iter/s]
Best score: 0.6109: : 377iter [00:35, 11.74iter/s]
Best score: 0.6109: : 377iter [00:35, 11.74iter/s]
Best score: 0.6109: : 378iter [00:36, 11.74iter/s]
Best score: 0.6109: : 379iter [00:36, 11.80iter/s]
Best score: 0.4185: : 379iter [00:36, 11.80iter/s]
Best score: 0.4185: : 380iter [00:36, 11.80iter/s]
Best score: 0.4185: : 381iter [00:36, 11.64iter/s]
Best score: 0.4185: : 381iter [00:36, 11.64iter/s]
Best score: 0.4185: : 382iter [00:36, 11.64iter/s]
Best score: 0.4185: : 383iter [00:36, 11.73iter/s]
Best score: 0.4185: : 383iter [00:36, 11.73iter/s]
Best score: 0.4185: : 384iter [00:36, 11.73iter/s]
Best score: 0.4185: : 385iter [00:36, 11.81iter/s]
Best score: 0.4185: : 385iter [00:36, 11.81iter/s]
Best score: 0.4185: : 386iter [00:36, 11.81iter/s]
Best score: 0.4185: : 387iter [00:36, 11.86iter/s]
Best score: 0.4185: : 387iter [00:36, 11.86iter/s]
Best score: 0.4185: : 388iter [00:36, 11.86iter/s]
Best score: 0.4185: : 389iter [00:36, 11.85iter/s]
Best score: 0.4050: : 389iter [00:37, 11.85iter/s]
Best score: 0.4050: : 390iter [00:37, 11.85iter/s]
Best score: 0.4050: : 391iter [00:37, 11.65iter/s]
Best score: 0.4050: : 391iter [00:37, 11.65iter/s]
Best score: 0.4050: : 392iter [00:37, 11.65iter/s]
Best score: 0.4050: : 393iter [00:37, 11.75iter/s]
Best score: 0.4050: : 393iter [00:37, 11.75iter/s]
Best score: 0.4050: : 394iter [00:37, 11.75iter/s]
Best score: 0.4050: : 395iter [00:37, 11.79iter/s]
Best score: 0.4050: : 395iter [00:37, 11.79iter/s]
Best score: 0.4050: : 396iter [00:37, 11.79iter/s]
Best score: 0.4050: : 397iter [00:37, 11.84iter/s]
Best score: 0.4050: : 397iter [00:37, 11.84iter/s]
Best score: 0.4050: : 398iter [00:37, 11.84iter/s]
Best score: 0.4050: : 399iter [00:37, 11.89iter/s]
[ITER 400] Best: 0.3563
[PARAMS] Current best parameters:
  fx: 515.0356
  fy: 516.2394
  px: 912.3888
  py: 946.9550
  k1: 0.05861285
  k2: -0.06245642
  k3: 0.03348131
  k4: -0.00732659
  p1: -0.00653916
  p2: 0.00849325
  p3: 0.02178558
  p4: -0.00758595
  s1: -0.0295
  s2: 0.0068
  s3: -0.0159
  s4: 0.0056
  tilt_x: 0.0590
  tilt_y: 0.0013
  scale: 2.9273
  rotation: -1.0871

Best score: 0.3563: : 399iter [00:37, 11.89iter/s]
Best score: 0.3563: : 400iter [00:38, 11.89iter/s]
Best score: 0.3563: : 401iter [00:38,  7.68iter/s]
Best score: 0.3563: : 401iter [00:38,  7.68iter/s]
Best score: 0.3563: : 402iter [00:38,  7.68iter/s]
Best score: 0.3563: : 403iter [00:38,  8.61iter/s]
Best score: 0.3563: : 403iter [00:38,  8.61iter/s]
Best score: 0.3563: : 404iter [00:38,  8.61iter/s]
Best score: 0.3563: : 405iter [00:38,  9.38iter/s]
Best score: 0.3563: : 405iter [00:38,  9.38iter/s]
Best score: 0.3563: : 406iter [00:38,  9.38iter/s]
Best score: 0.3563: : 407iter [00:38, 10.00iter/s]
Best score: 0.3563: : 407iter [00:38, 10.00iter/s]
Best score: 0.3563: : 408iter [00:38, 10.00iter/s]
Best score: 0.3563: : 409iter [00:38, 10.47iter/s]
Best score: 0.3563: : 409iter [00:39, 10.47iter/s]
Best score: 0.3563: : 410iter [00:39, 10.47iter/s]
Best score: 0.3563: : 411iter [00:39, 10.63iter/s]
Best score: 0.3563: : 411iter [00:39, 10.63iter/s]
Best score: 0.3563: : 412iter [00:39, 10.63iter/s]
Best score: 0.3563: : 413iter [00:39, 10.97iter/s]
Best score: 0.3563: : 413iter [00:39, 10.97iter/s]
Best score: 0.3563: : 414iter [00:39, 10.97iter/s]
Best score: 0.3563: : 415iter [00:39, 11.25iter/s]
Best score: 0.3563: : 415iter [00:39, 11.25iter/s]
Best score: 0.3563: : 416iter [00:39, 11.25iter/s]
Best score: 0.3563: : 417iter [00:39, 11.44iter/s]
Best score: 0.3563: : 417iter [00:39, 11.44iter/s]
Best score: 0.3563: : 418iter [00:39, 11.44iter/s]
Best score: 0.3563: : 419iter [00:39, 11.57iter/s]
Best score: 0.3563: : 419iter [00:39, 11.57iter/s]
Best score: 0.3563: : 420iter [00:39, 11.57iter/s]
Best score: 0.3563: : 421iter [00:39, 11.49iter/s]
Best score: 0.3563: : 421iter [00:40, 11.49iter/s]
Best score: 0.3563: : 422iter [00:40, 11.49iter/s]
Best score: 0.3563: : 423iter [00:40, 11.58iter/s]
Best score: 0.3563: : 423iter [00:40, 11.58iter/s]
Best score: 0.3563: : 424iter [00:40, 11.58iter/s]
Best score: 0.3563: : 425iter [00:40, 11.69iter/s]
Best score: 0.3563: : 425iter [00:40, 11.69iter/s]
Best score: 0.3563: : 426iter [00:40, 11.69iter/s]
Best score: 0.3563: : 427iter [00:40, 11.73iter/s]
Best score: 0.3563: : 427iter [00:40, 11.73iter/s]
Best score: 0.3563: : 428iter [00:40, 11.73iter/s]
Best score: 0.3563: : 429iter [00:40, 11.80iter/s]
Best score: 0.3563: : 429iter [00:40, 11.80iter/s]
Best score: 0.3563: : 430iter [00:40, 11.80iter/s]
Best score: 0.3563: : 431iter [00:40, 11.64iter/s]
Best score: 0.3563: : 431iter [00:40, 11.64iter/s]
Best score: 0.3563: : 432iter [00:40, 11.64iter/s]
Best score: 0.3563: : 433iter [00:40, 11.74iter/s]
Best score: 0.3563: : 433iter [00:41, 11.74iter/s]
Best score: 0.3563: : 434iter [00:41, 11.74iter/s]
Best score: 0.3563: : 435iter [00:41, 11.80iter/s]
Best score: 0.3563: : 435iter [00:41, 11.80iter/s]
Best score: 0.3563: : 436iter [00:41, 11.80iter/s]
Best score: 0.3563: : 437iter [00:41, 11.84iter/s]
Best score: 0.3563: : 437iter [00:41, 11.84iter/s]
Best score: 0.3563: : 438iter [00:41, 11.84iter/s]
Best score: 0.3563: : 439iter [00:41, 11.86iter/s]
Best score: 0.3146: : 439iter [00:41, 11.86iter/s]
Best score: 0.3146: : 440iter [00:41, 11.86iter/s]
Best score: 0.3146: : 441iter [00:41, 11.67iter/s]
Best score: 0.3146: : 441iter [00:41, 11.67iter/s]
Best score: 0.3146: : 442iter [00:41, 11.67iter/s]
Best score: 0.3146: : 443iter [00:41, 11.76iter/s]
Best score: 0.3146: : 443iter [00:41, 11.76iter/s]
Best score: 0.3146: : 444iter [00:41, 11.76iter/s]
Best score: 0.3146: : 445iter [00:41, 11.83iter/s]
Best score: 0.3146: : 445iter [00:42, 11.83iter/s]
Best score: 0.3146: : 446iter [00:42, 11.83iter/s]
Best score: 0.3146: : 447iter [00:42, 11.88iter/s]
Best score: 0.3146: : 447iter [00:42, 11.88iter/s]
Best score: 0.3146: : 448iter [00:42, 11.88iter/s]
Best score: 0.3146: : 449iter [00:42, 11.89iter/s]
[ITER 450] Best: 0.2937
[PARAMS] Current best parameters:
  fx: 518.2412
  fy: 519.4028
  px: 912.4434
  py: 945.9964
  k1: 0.05250185
  k2: -0.07155936
  k3: 0.04673331
  k4: -0.01148378
  p1: -0.00656171
  p2: 0.00712342
  p3: 0.01980796
  p4: -0.00628512
  s1: -0.0253
  s2: 0.0070
  s3: -0.0201
  s4: 0.0072
  tilt_x: 0.0577
  tilt_y: 0.0006
  scale: 2.9401
  rotation: -1.0120

Best score: 0.2937: : 449iter [00:42, 11.89iter/s]
Best score: 0.2937: : 450iter [00:42, 11.89iter/s]
Best score: 0.2937: : 451iter [00:42,  7.67iter/s]
Best score: 0.2937: : 451iter [00:42,  7.67iter/s]
Best score: 0.2937: : 452iter [00:42,  7.67iter/s]
Best score: 0.2937: : 453iter [00:42,  8.55iter/s]
Best score: 0.2937: : 453iter [00:43,  8.55iter/s]
Best score: 0.2937: : 454iter [00:43,  8.55iter/s]
Best score: 0.2937: : 455iter [00:43,  9.29iter/s]
Best score: 0.2937: : 455iter [00:43,  9.29iter/s]
Best score: 0.2937: : 456iter [00:43,  9.29iter/s]
Best score: 0.2937: : 457iter [00:43,  9.95iter/s]
Best score: 0.2937: : 457iter [00:43,  9.95iter/s]
Best score: 0.2937: : 458iter [00:43,  9.95iter/s]
Best score: 0.2937: : 459iter [00:43, 10.48iter/s]
Best score: 0.2851: : 459iter [00:43, 10.48iter/s]
Best score: 0.2851: : 460iter [00:43, 10.48iter/s]
Best score: 0.2851: : 461iter [00:43, 10.65iter/s]
Best score: 0.2851: : 461iter [00:43, 10.65iter/s]
Best score: 0.2851: : 462iter [00:43, 10.65iter/s]
Best score: 0.2851: : 463iter [00:43, 10.97iter/s]
Best score: 0.2851: : 463iter [00:43, 10.97iter/s]
Best score: 0.2851: : 464iter [00:43, 10.97iter/s]
Best score: 0.2851: : 465iter [00:43, 11.26iter/s]
Best score: 0.2851: : 465iter [00:44, 11.26iter/s]
Best score: 0.2851: : 466iter [00:44, 11.26iter/s]
Best score: 0.2851: : 467iter [00:44, 11.45iter/s]
Best score: 0.2851: : 467iter [00:44, 11.45iter/s]
Best score: 0.2851: : 468iter [00:44, 11.45iter/s]
Best score: 0.2851: : 469iter [00:44, 11.58iter/s]
Best score: 0.2851: : 469iter [00:44, 11.58iter/s]
Best score: 0.2851: : 470iter [00:44, 11.58iter/s]
Best score: 0.2851: : 471iter [00:44, 11.49iter/s]
Best score: 0.2851: : 471iter [00:44, 11.49iter/s]
Best score: 0.2851: : 472iter [00:44, 11.49iter/s]
Best score: 0.2851: : 473iter [00:44, 11.63iter/s]
Best score: 0.2851: : 473iter [00:44, 11.63iter/s]
Best score: 0.2851: : 474iter [00:44, 11.63iter/s]
Best score: 0.2851: : 475iter [00:44, 11.73iter/s]
Best score: 0.2851: : 475iter [00:44, 11.73iter/s]
Best score: 0.2851: : 476iter [00:45, 11.73iter/s]
Best score: 0.2851: : 477iter [00:45, 11.80iter/s]
Best score: 0.2851: : 477iter [00:45, 11.80iter/s]
Best score: 0.2851: : 478iter [00:45, 11.80iter/s]
Best score: 0.2851: : 479iter [00:45, 11.85iter/s]
Best score: 0.2851: : 479iter [00:45, 11.85iter/s]
Best score: 0.2851: : 480iter [00:45, 11.85iter/s]
Best score: 0.2851: : 481iter [00:45, 11.68iter/s]
Best score: 0.2851: : 481iter [00:45, 11.68iter/s]
Best score: 0.2851: : 482iter [00:45, 11.68iter/s]
Best score: 0.2851: : 483iter [00:45, 11.77iter/s]
Best score: 0.2851: : 483iter [00:45, 11.77iter/s]
Best score: 0.2851: : 484iter [00:45, 11.77iter/s]
Best score: 0.2851: : 485iter [00:45, 11.83iter/s]
Best score: 0.2851: : 485iter [00:45, 11.83iter/s]
Best score: 0.2851: : 486iter [00:45, 11.83iter/s]
Best score: 0.2851: : 487iter [00:45, 11.85iter/s]
Best score: 0.2851: : 487iter [00:45, 11.85iter/s]
Best score: 0.2851: : 488iter [00:46, 11.85iter/s]
Best score: 0.2851: : 489iter [00:46, 11.87iter/s]
Best score: 0.2668: : 489iter [00:46, 11.87iter/s]
Best score: 0.2668: : 490iter [00:46, 11.87iter/s]
Best score: 0.2668: : 491iter [00:46, 11.68iter/s]
Best score: 0.2668: : 491iter [00:46, 11.68iter/s]
Best score: 0.2668: : 492iter [00:46, 11.68iter/s]
Best score: 0.2668: : 493iter [00:46, 11.76iter/s]
Best score: 0.2668: : 493iter [00:46, 11.76iter/s]
Best score: 0.2668: : 494iter [00:46, 11.76iter/s]
Best score: 0.2668: : 495iter [00:46, 11.81iter/s]
Best score: 0.2668: : 495iter [00:46, 11.81iter/s]
Best score: 0.2668: : 496iter [00:46, 11.81iter/s]
Best score: 0.2668: : 497iter [00:46, 11.82iter/s]
Best score: 0.2668: : 497iter [00:46, 11.82iter/s]
Best score: 0.2668: : 498iter [00:46, 11.82iter/s]
Best score: 0.2668: : 499iter [00:46, 11.79iter/s]
[ITER 500] Best: 0.2543
[PARAMS] Current best parameters:
  fx: 517.0731
  fy: 518.2261
  px: 912.6783
  py: 947.9962
  k1: 0.06323424
  k2: -0.07948853
  k3: 0.04661977
  k4: -0.01049206
  p1: -0.00371878
  p2: 0.00398704
  p3: 0.01568690
  p4: -0.00649632
  s1: -0.0192
  s2: 0.0078
  s3: -0.0137
  s4: 0.0066
  tilt_x: 0.0593
  tilt_y: -0.0069
  scale: 2.9275
  rotation: -1.0249

Best score: 0.2543: : 499iter [00:46, 11.79iter/s]
Best score: 0.2543: : 500iter [00:47, 11.79iter/s]
Best score: 0.2543: : 501iter [00:47,  7.65iter/s]
Best score: 0.2543: : 501iter [00:47,  7.65iter/s]
Best score: 0.2543: : 502iter [00:47,  7.65iter/s]
Best score: 0.2543: : 503iter [00:47,  8.57iter/s]
Best score: 0.2543: : 503iter [00:47,  8.57iter/s]
Best score: 0.2543: : 504iter [00:47,  8.57iter/s]
Best score: 0.2543: : 505iter [00:47,  9.34iter/s]
Best score: 0.2543: : 505iter [00:47,  9.34iter/s]
Best score: 0.2543: : 506iter [00:47,  9.34iter/s]
Best score: 0.2543: : 507iter [00:47,  9.95iter/s]
Best score: 0.2543: : 507iter [00:47,  9.95iter/s]
Best score: 0.2543: : 508iter [00:48,  9.95iter/s]
Best score: 0.2543: : 509iter [00:48, 10.47iter/s]
Best score: 0.2453: : 509iter [00:48, 10.47iter/s]
Best score: 0.2453: : 510iter [00:48, 10.47iter/s]
Best score: 0.2453: : 511iter [00:48, 10.67iter/s]
Best score: 0.2453: : 511iter [00:48, 10.67iter/s]
Best score: 0.2453: : 512iter [00:48, 10.67iter/s]
Best score: 0.2453: : 513iter [00:48, 11.02iter/s]
Best score: 0.2453: : 513iter [00:48, 11.02iter/s]
Best score: 0.2453: : 514iter [00:48, 11.02iter/s]
Best score: 0.2453: : 515iter [00:48, 11.28iter/s]
Best score: 0.2453: : 515iter [00:48, 11.28iter/s]
Best score: 0.2453: : 516iter [00:48, 11.28iter/s]
Best score: 0.2453: : 517iter [00:48, 11.45iter/s]
Best score: 0.2453: : 517iter [00:48, 11.45iter/s]
Best score: 0.2453: : 518iter [00:48, 11.45iter/s]
Best score: 0.2453: : 519iter [00:48, 11.60iter/s]
Best score: 0.2427: : 519iter [00:48, 11.60iter/s]
Best score: 0.2427: : 520iter [00:49, 11.60iter/s]
Best score: 0.2427: : 521iter [00:49, 11.51iter/s]
Best score: 0.2427: : 521iter [00:49, 11.51iter/s]
Best score: 0.2427: : 522iter [00:49, 11.51iter/s]
Best score: 0.2427: : 523iter [00:49, 11.59iter/s]
Best score: 0.2427: : 523iter [00:49, 11.59iter/s]
Best score: 0.2427: : 524iter [00:49, 11.59iter/s]
Best score: 0.2427: : 525iter [00:49, 11.66iter/s]
Best score: 0.2427: : 525iter [00:49, 11.66iter/s]
Best score: 0.2427: : 526iter [00:49, 11.66iter/s]
Best score: 0.2427: : 527iter [00:49, 11.75iter/s]
Best score: 0.2427: : 527iter [00:49, 11.75iter/s]
Best score: 0.2427: : 528iter [00:49, 11.75iter/s]
Best score: 0.2427: : 529iter [00:49, 11.79iter/s]
Best score: 0.2287: : 529iter [00:49, 11.79iter/s]
Best score: 0.2287: : 530iter [00:49, 11.79iter/s]
Best score: 0.2287: : 531iter [00:49, 11.61iter/s]
Best score: 0.2287: : 531iter [00:49, 11.61iter/s]
Best score: 0.2287: : 532iter [00:50, 11.61iter/s]
Best score: 0.2287: : 533iter [00:50, 11.71iter/s]
Best score: 0.2287: : 533iter [00:50, 11.71iter/s]
Best score: 0.2287: : 534iter [00:50, 11.71iter/s]
Best score: 0.2287: : 535iter [00:50, 11.78iter/s]
Best score: 0.2287: : 535iter [00:50, 11.78iter/s]
Best score: 0.2287: : 536iter [00:50, 11.78iter/s]
Best score: 0.2287: : 537iter [00:50, 11.83iter/s]
Best score: 0.2287: : 537iter [00:50, 11.83iter/s]
Best score: 0.2287: : 538iter [00:50, 11.83iter/s]
Best score: 0.2287: : 539iter [00:50, 11.88iter/s]
Best score: 0.2226: : 539iter [00:50, 11.88iter/s]
Best score: 0.2226: : 540iter [00:50, 11.88iter/s]
Best score: 0.2226: : 541iter [00:50, 11.69iter/s]
Best score: 0.2226: : 541iter [00:50, 11.69iter/s]
Best score: 0.2226: : 542iter [00:50, 11.69iter/s]
Best score: 0.2226: : 543iter [00:50, 11.77iter/s]
Best score: 0.2226: : 543iter [00:50, 11.77iter/s]
Best score: 0.2226: : 544iter [00:51, 11.77iter/s]
Best score: 0.2226: : 545iter [00:51, 11.82iter/s]
Best score: 0.2226: : 545iter [00:51, 11.82iter/s]
Best score: 0.2226: : 546iter [00:51, 11.82iter/s]
Best score: 0.2226: : 547iter [00:51, 11.87iter/s]
Best score: 0.2226: : 547iter [00:51, 11.87iter/s]
Best score: 0.2226: : 548iter [00:51, 11.87iter/s]
Best score: 0.2226: : 549iter [00:51, 11.90iter/s]
[ITER 550] Best: 0.2175
[PARAMS] Current best parameters:
  fx: 513.8016
  fy: 514.8525
  px: 910.6859
  py: 944.5299
  k1: 0.06744761
  k2: -0.07732785
  k3: 0.04368317
  k4: -0.00969160
  p1: -0.00808631
  p2: 0.00410737
  p3: 0.01565949
  p4: -0.00592669
  s1: -0.0230
  s2: 0.0075
  s3: -0.0145
  s4: 0.0068
  tilt_x: 0.0516
  tilt_y: 0.0016
  scale: 2.9217
  rotation: -1.0207

Best score: 0.2175: : 549iter [00:51, 11.90iter/s]
Best score: 0.2175: : 550iter [00:51, 11.90iter/s]
Best score: 0.2175: : 551iter [00:51,  7.65iter/s]
Best score: 0.2175: : 551iter [00:51,  7.65iter/s]
Best score: 0.2175: : 552iter [00:52,  7.65iter/s]
Best score: 0.2175: : 553iter [00:52,  8.56iter/s]
Best score: 0.2175: : 553iter [00:52,  8.56iter/s]
Best score: 0.2175: : 554iter [00:52,  8.56iter/s]
Best score: 0.2175: : 555iter [00:52,  9.36iter/s]
Best score: 0.2175: : 555iter [00:52,  9.36iter/s]
Best score: 0.2175: : 556iter [00:52,  9.36iter/s]
Best score: 0.2175: : 557iter [00:52, 10.01iter/s]
Best score: 0.2175: : 557iter [00:52, 10.01iter/s]
Best score: 0.2175: : 558iter [00:52, 10.01iter/s]
Best score: 0.2175: : 559iter [00:52, 10.50iter/s]
Best score: 0.2157: : 559iter [00:52, 10.50iter/s]
Best score: 0.2157: : 560iter [00:52, 10.50iter/s]
Best score: 0.2157: : 561iter [00:52, 10.73iter/s]
Best score: 0.2157: : 561iter [00:52, 10.73iter/s]
Best score: 0.2157: : 562iter [00:52, 10.73iter/s]
Best score: 0.2157: : 563iter [00:52, 11.08iter/s]
Best score: 0.2157: : 563iter [00:52, 11.08iter/s]
Best score: 0.2157: : 564iter [00:53, 11.08iter/s]
Best score: 0.2157: : 565iter [00:53, 11.34iter/s]
Best score: 0.2157: : 565iter [00:53, 11.34iter/s]
Best score: 0.2157: : 566iter [00:53, 11.34iter/s]
Best score: 0.2157: : 567iter [00:53, 11.43iter/s]
Best score: 0.2157: : 567iter [00:53, 11.43iter/s]
Best score: 0.2157: : 568iter [00:53, 11.43iter/s]
Best score: 0.2157: : 569iter [00:53, 11.58iter/s]
Best score: 0.2120: : 569iter [00:53, 11.58iter/s]
Best score: 0.2120: : 570iter [00:53, 11.58iter/s]
Best score: 0.2120: : 571iter [00:53, 11.50iter/s]
Best score: 0.2120: : 571iter [00:53, 11.50iter/s]
Best score: 0.2120: : 572iter [00:53, 11.50iter/s]
Best score: 0.2120: : 573iter [00:53, 11.65iter/s]
Best score: 0.2120: : 573iter [00:53, 11.65iter/s]
Best score: 0.2120: : 574iter [00:53, 11.65iter/s]
Best score: 0.2120: : 575iter [00:53, 11.74iter/s]
Best score: 0.2120: : 575iter [00:54, 11.74iter/s]
Best score: 0.2120: : 576iter [00:54, 11.74iter/s]
Best score: 0.2120: : 577iter [00:54, 11.75iter/s]
Best score: 0.2120: : 577iter [00:54, 11.75iter/s]
Best score: 0.2120: : 578iter [00:54, 11.75iter/s]
Best score: 0.2120: : 579iter [00:54, 11.77iter/s]
Best score: 0.2120: : 579iter [00:54, 11.77iter/s]
Best score: 0.2120: : 580iter [00:54, 11.77iter/s]
Best score: 0.2120: : 581iter [00:54, 11.62iter/s]
Best score: 0.2120: : 581iter [00:54, 11.62iter/s]
Best score: 0.2120: : 582iter [00:54, 11.62iter/s]
Best score: 0.2120: : 583iter [00:54, 11.73iter/s]
Best score: 0.2120: : 583iter [00:54, 11.73iter/s]
Best score: 0.2120: : 584iter [00:54, 11.73iter/s]
Best score: 0.2120: : 585iter [00:54, 11.79iter/s]
Best score: 0.2120: : 585iter [00:54, 11.79iter/s]
Best score: 0.2120: : 586iter [00:54, 11.79iter/s]
Best score: 0.2120: : 587iter [00:54, 11.79iter/s]
Best score: 0.2120: : 587iter [00:55, 11.79iter/s]
Best score: 0.2120: : 588iter [00:55, 11.79iter/s]
Best score: 0.2120: : 589iter [00:55, 11.79iter/s]
Best score: 0.1970: : 589iter [00:55, 11.79iter/s]
Best score: 0.1970: : 590iter [00:55, 11.79iter/s]
Best score: 0.1970: : 591iter [00:55, 11.58iter/s]
Best score: 0.1970: : 591iter [00:55, 11.58iter/s]
Best score: 0.1970: : 592iter [00:55, 11.58iter/s]
Best score: 0.1970: : 593iter [00:55, 11.68iter/s]
Best score: 0.1970: : 593iter [00:55, 11.68iter/s]
Best score: 0.1970: : 594iter [00:55, 11.68iter/s]
Best score: 0.1970: : 595iter [00:55, 11.70iter/s]
Best score: 0.1970: : 595iter [00:55, 11.70iter/s]
Best score: 0.1970: : 596iter [00:55, 11.70iter/s]
Best score: 0.1970: : 597iter [00:55, 11.75iter/s]
Best score: 0.1970: : 597iter [00:55, 11.75iter/s]
Best score: 0.1970: : 598iter [00:55, 11.75iter/s]
Best score: 0.1970: : 599iter [00:55, 11.80iter/s]
[ITER 600] Best: 0.1901
[PARAMS] Current best parameters:
  fx: 511.0089
  fy: 511.6476
  px: 913.1812
  py: 941.6662
  k1: 0.07581481
  k2: -0.09007742
  k3: 0.05427564
  k4: -0.01263007
  p1: -0.00924779
  p2: 0.00662872
  p3: 0.01226144
  p4: -0.00853666
  s1: -0.0181
  s2: 0.0090
  s3: -0.0123
  s4: 0.0095
  tilt_x: 0.0408
  tilt_y: -0.0047
  scale: 2.9177
  rotation: -1.0060

Best score: 0.1901: : 599iter [00:56, 11.80iter/s]
Best score: 0.1901: : 600iter [00:56, 11.80iter/s]
Best score: 0.1901: : 601iter [00:56,  7.65iter/s]
Best score: 0.1901: : 601iter [00:56,  7.65iter/s]
Best score: 0.1901: : 602iter [00:56,  7.65iter/s]
Best score: 0.1901: : 603iter [00:56,  8.57iter/s]
Best score: 0.1901: : 603iter [00:56,  8.57iter/s]
Best score: 0.1901: : 604iter [00:56,  8.57iter/s]
Best score: 0.1901: : 605iter [00:56,  9.34iter/s]
Best score: 0.1901: : 605iter [00:56,  9.34iter/s]
Best score: 0.1901: : 606iter [00:56,  9.34iter/s]
Best score: 0.1901: : 607iter [00:56, 10.00iter/s]
Best score: 0.1901: : 607iter [00:57, 10.00iter/s]
Best score: 0.1901: : 608iter [00:57, 10.00iter/s]
Best score: 0.1901: : 609iter [00:57, 10.49iter/s]
Best score: 0.1859: : 609iter [00:57, 10.49iter/s]
Best score: 0.1859: : 610iter [00:57, 10.49iter/s]
Best score: 0.1859: : 611iter [00:57, 10.70iter/s]
Best score: 0.1859: : 611iter [00:57, 10.70iter/s]
Best score: 0.1859: : 612iter [00:57, 10.70iter/s]
Best score: 0.1859: : 613iter [00:57, 11.05iter/s]
Best score: 0.1859: : 613iter [00:57, 11.05iter/s]
Best score: 0.1859: : 614iter [00:57, 11.05iter/s]
Best score: 0.1859: : 615iter [00:57, 11.30iter/s]
Best score: 0.1859: : 615iter [00:57, 11.30iter/s]
Best score: 0.1859: : 616iter [00:57, 11.30iter/s]
Best score: 0.1859: : 617iter [00:57, 11.48iter/s]
Best score: 0.1859: : 617iter [00:57, 11.48iter/s]
Best score: 0.1859: : 618iter [00:57, 11.48iter/s]
Best score: 0.1859: : 619iter [00:57, 11.58iter/s]
Best score: 0.1842: : 619iter [00:58, 11.58iter/s]
Best score: 0.1842: : 620iter [00:58, 11.58iter/s]
Best score: 0.1842: : 621iter [00:58, 11.47iter/s]
Best score: 0.1842: : 621iter [00:58, 11.47iter/s]
Best score: 0.1842: : 622iter [00:58, 11.47iter/s]
Best score: 0.1842: : 623iter [00:58, 11.58iter/s]
Best score: 0.1842: : 623iter [00:58, 11.58iter/s]
Best score: 0.1842: : 624iter [00:58, 11.58iter/s]
Best score: 0.1842: : 625iter [00:58, 11.69iter/s]
Best score: 0.1842: : 625iter [00:58, 11.69iter/s]
Best score: 0.1842: : 626iter [00:58, 11.69iter/s]
Best score: 0.1842: : 627iter [00:58, 11.75iter/s]
Best score: 0.1842: : 627iter [00:58, 11.75iter/s]
Best score: 0.1842: : 628iter [00:58, 11.75iter/s]
Best score: 0.1842: : 629iter [00:58, 11.72iter/s]
Best score: 0.1842: : 629iter [00:58, 11.72iter/s]
Best score: 0.1842: : 630iter [00:59, 11.72iter/s]
Best score: 0.1842: : 631iter [00:59, 11.55iter/s]
Best score: 0.1842: : 631iter [00:59, 11.55iter/s]
Best score: 0.1842: : 632iter [00:59, 11.55iter/s]
Best score: 0.1842: : 633iter [00:59, 11.67iter/s]
Best score: 0.1842: : 633iter [00:59, 11.67iter/s]
Best score: 0.1842: : 634iter [00:59, 11.67iter/s]
Best score: 0.1842: : 635iter [00:59, 11.74iter/s]
Best score: 0.1842: : 635iter [00:59, 11.74iter/s]
Best score: 0.1842: : 636iter [00:59, 11.74iter/s]
Best score: 0.1842: : 637iter [00:59, 11.80iter/s]
Best score: 0.1842: : 637iter [00:59, 11.80iter/s]
Best score: 0.1842: : 638iter [00:59, 11.80iter/s]
Best score: 0.1842: : 639iter [00:59, 11.84iter/s]
Best score: 0.1776: : 639iter [00:59, 11.84iter/s]
Best score: 0.1776: : 640iter [00:59, 11.84iter/s]
Best score: 0.1776: : 641iter [00:59, 11.65iter/s]
Best score: 0.1776: : 641iter [00:59, 11.65iter/s]
Best score: 0.1776: : 642iter [01:00, 11.65iter/s]
Best score: 0.1776: : 643iter [01:00, 11.76iter/s]
Best score: 0.1776: : 643iter [01:00, 11.76iter/s]
Best score: 0.1776: : 644iter [01:00, 11.76iter/s]
Best score: 0.1776: : 645iter [01:00, 11.81iter/s]
Best score: 0.1776: : 645iter [01:00, 11.81iter/s]
Best score: 0.1776: : 646iter [01:00, 11.81iter/s]
Best score: 0.1776: : 647iter [01:00, 11.85iter/s]
Best score: 0.1776: : 647iter [01:00, 11.85iter/s]
Best score: 0.1776: : 648iter [01:00, 11.85iter/s]
Best score: 0.1776: : 649iter [01:00, 11.84iter/s]
[ITER 650] Best: 0.1759
[PARAMS] Current best parameters:
  fx: 510.1640
  fy: 510.4788
  px: 911.2480
  py: 939.9905
  k1: 0.07511849
  k2: -0.08577239
  k3: 0.05022315
  k4: -0.01139754
  p1: -0.00958228
  p2: 0.00123256
  p3: 0.01151293
  p4: -0.00772545
  s1: -0.0144
  s2: 0.0085
  s3: -0.0127
  s4: 0.0091
  tilt_x: 0.0335
  tilt_y: -0.0070
  scale: 2.9191
  rotation: -1.0112

Best score: 0.1759: : 649iter [01:00, 11.84iter/s]
Best score: 0.1759: : 650iter [01:00, 11.84iter/s]
Best score: 0.1759: : 651iter [01:00,  7.66iter/s]
Best score: 0.1759: : 651iter [01:01,  7.66iter/s]
Best score: 0.1759: : 652iter [01:01,  7.66iter/s]
Best score: 0.1759: : 653iter [01:01,  8.58iter/s]
Best score: 0.1759: : 653iter [01:01,  8.58iter/s]
Best score: 0.1759: : 654iter [01:01,  8.58iter/s]
Best score: 0.1759: : 655iter [01:01,  9.38iter/s]
Best score: 0.1759: : 655iter [01:01,  9.38iter/s]
Best score: 0.1759: : 656iter [01:01,  9.38iter/s]
Best score: 0.1759: : 657iter [01:01, 10.03iter/s]
Best score: 0.1759: : 657iter [01:01, 10.03iter/s]
Best score: 0.1759: : 658iter [01:01, 10.03iter/s]
Best score: 0.1759: : 659iter [01:01, 10.53iter/s]
Best score: 0.1730: : 659iter [01:01, 10.53iter/s]
Best score: 0.1730: : 660iter [01:01, 10.53iter/s]
Best score: 0.1730: : 661iter [01:01, 10.74iter/s]
Best score: 0.1730: : 661iter [01:01, 10.74iter/s]
Best score: 0.1730: : 662iter [01:02, 10.74iter/s]
Best score: 0.1730: : 663iter [01:02, 11.07iter/s]
Best score: 0.1730: : 663iter [01:02, 11.07iter/s]
Best score: 0.1730: : 664iter [01:02, 11.07iter/s]
Best score: 0.1730: : 665iter [01:02, 11.32iter/s]
Best score: 0.1730: : 665iter [01:02, 11.32iter/s]
Best score: 0.1730: : 666iter [01:02, 11.32iter/s]
Best score: 0.1730: : 667iter [01:02, 11.49iter/s]
Best score: 0.1730: : 667iter [01:02, 11.49iter/s]
Best score: 0.1730: : 668iter [01:02, 11.49iter/s]
Best score: 0.1730: : 669iter [01:02, 11.62iter/s]
Best score: 0.1730: : 669iter [01:02, 11.62iter/s]
Best score: 0.1730: : 670iter [01:02, 11.62iter/s]
Best score: 0.1730: : 671iter [01:02, 11.43iter/s]
Best score: 0.1730: : 671iter [01:02, 11.43iter/s]
Best score: 0.1730: : 672iter [01:02, 11.43iter/s]
Best score: 0.1730: : 673iter [01:02, 11.55iter/s]
Best score: 0.1730: : 673iter [01:02, 11.55iter/s]
Best score: 0.1730: : 674iter [01:03, 11.55iter/s]
Best score: 0.1730: : 675iter [01:03, 11.61iter/s]
Best score: 0.1730: : 675iter [01:03, 11.61iter/s]
Best score: 0.1730: : 676iter [01:03, 11.61iter/s]
Best score: 0.1730: : 677iter [01:03, 11.66iter/s]
Best score: 0.1730: : 677iter [01:03, 11.66iter/s]
Best score: 0.1730: : 678iter [01:03, 11.66iter/s]
Best score: 0.1730: : 679iter [01:03, 11.70iter/s]
Best score: 0.1704: : 679iter [01:03, 11.70iter/s]
Best score: 0.1704: : 680iter [01:03, 11.70iter/s]
Best score: 0.1704: : 681iter [01:03, 11.58iter/s]
Best score: 0.1704: : 681iter [01:03, 11.58iter/s]
Best score: 0.1704: : 682iter [01:03, 11.58iter/s]
Best score: 0.1704: : 683iter [01:03, 11.65iter/s]
Best score: 0.1704: : 683iter [01:03, 11.65iter/s]
Best score: 0.1704: : 684iter [01:03, 11.65iter/s]
Best score: 0.1704: : 685iter [01:03, 11.75iter/s]
Best score: 0.1704: : 685iter [01:03, 11.75iter/s]
Best score: 0.1704: : 686iter [01:04, 11.75iter/s]
Best score: 0.1704: : 687iter [01:04, 11.80iter/s]
Best score: 0.1704: : 687iter [01:04, 11.80iter/s]
Best score: 0.1704: : 688iter [01:04, 11.80iter/s]
Best score: 0.1704: : 689iter [01:04, 11.80iter/s]
Best score: 0.1704: : 689iter [01:04, 11.80iter/s]
Best score: 0.1704: : 690iter [01:04, 11.80iter/s]
Best score: 0.1704: : 691iter [01:04, 11.64iter/s]
Best score: 0.1704: : 691iter [01:04, 11.64iter/s]
Best score: 0.1704: : 692iter [01:04, 11.64iter/s]
Best score: 0.1704: : 693iter [01:04, 11.73iter/s]
Best score: 0.1704: : 693iter [01:04, 11.73iter/s]
Best score: 0.1704: : 694iter [01:04, 11.73iter/s]
Best score: 0.1704: : 695iter [01:04, 11.79iter/s]
Best score: 0.1704: : 695iter [01:04, 11.79iter/s]
Best score: 0.1704: : 696iter [01:04, 11.79iter/s]
Best score: 0.1704: : 697iter [01:04, 11.84iter/s]
Best score: 0.1704: : 697iter [01:04, 11.84iter/s]
Best score: 0.1704: : 698iter [01:05, 11.84iter/s]
Best score: 0.1704: : 699iter [01:05, 11.82iter/s]
[ITER 700] Best: 0.1698
[PARAMS] Current best parameters:
  fx: 506.8780
  fy: 507.3020
  px: 910.8465
  py: 939.1344
  k1: 0.06602178
  k2: -0.07111490
  k3: 0.04504671
  k4: -0.01109546
  p1: -0.00923603
  p2: 0.00119171
  p3: 0.01196904
  p4: -0.00689145
  s1: -0.0148
  s2: 0.0074
  s3: -0.0130
  s4: 0.0076
  tilt_x: 0.0281
  tilt_y: -0.0054
  scale: 2.9344
  rotation: -1.0051

Best score: 0.1698: : 699iter [01:05, 11.82iter/s]
Best score: 0.1698: : 700iter [01:05, 11.82iter/s]
Best score: 0.1698: : 701iter [01:05,  7.64iter/s]
Best score: 0.1698: : 701iter [01:05,  7.64iter/s]
Best score: 0.1698: : 702iter [01:05,  7.64iter/s]
Best score: 0.1698: : 703iter [01:05,  8.56iter/s]
Best score: 0.1698: : 703iter [01:05,  8.56iter/s]
Best score: 0.1698: : 704iter [01:05,  8.56iter/s]
Best score: 0.1698: : 705iter [01:05,  9.34iter/s]
Best score: 0.1698: : 705iter [01:05,  9.34iter/s]
Best score: 0.1698: : 706iter [01:06,  9.34iter/s]
Best score: 0.1698: : 707iter [01:06, 10.00iter/s]
Best score: 0.1698: : 707iter [01:06, 10.00iter/s]
Best score: 0.1698: : 708iter [01:06, 10.00iter/s]
Best score: 0.1698: : 709iter [01:06, 10.51iter/s]
Best score: 0.1674: : 709iter [01:06, 10.51iter/s]
Best score: 0.1674: : 710iter [01:06, 10.51iter/s]
Best score: 0.1674: : 711iter [01:06, 10.74iter/s]
Best score: 0.1674: : 711iter [01:06, 10.74iter/s]
Best score: 0.1674: : 712iter [01:06, 10.74iter/s]
Best score: 0.1674: : 713iter [01:06, 11.09iter/s]
Best score: 0.1674: : 713iter [01:06, 11.09iter/s]
Best score: 0.1674: : 714iter [01:06, 11.09iter/s]
Best score: 0.1674: : 715iter [01:06, 11.33iter/s]
Best score: 0.1674: : 715iter [01:06, 11.33iter/s]
Best score: 0.1674: : 716iter [01:06, 11.33iter/s]
Best score: 0.1674: : 717iter [01:06, 11.52iter/s]
Best score: 0.1674: : 717iter [01:06, 11.52iter/s]
Best score: 0.1674: : 718iter [01:07, 11.52iter/s]
Best score: 0.1674: : 719iter [01:07, 11.64iter/s]
Best score: 0.1657: : 719iter [01:07, 11.64iter/s]
Best score: 0.1657: : 720iter [01:07, 11.64iter/s]
Best score: 0.1657: : 721iter [01:07, 11.54iter/s]
Best score: 0.1657: : 721iter [01:07, 11.54iter/s]
Best score: 0.1657: : 722iter [01:07, 11.54iter/s]
Best score: 0.1657: : 723iter [01:07, 11.67iter/s]
Best score: 0.1657: : 723iter [01:07, 11.67iter/s]
Best score: 0.1657: : 724iter [01:07, 11.67iter/s]
Best score: 0.1657: : 725iter [01:07, 11.76iter/s]
Best score: 0.1657: : 725iter [01:07, 11.76iter/s]
Best score: 0.1657: : 726iter [01:07, 11.76iter/s]
Best score: 0.1657: : 727iter [01:07, 11.81iter/s]
Best score: 0.1657: : 727iter [01:07, 11.81iter/s]
Best score: 0.1657: : 728iter [01:07, 11.81iter/s]
Best score: 0.1657: : 729iter [01:07, 11.86iter/s]
Best score: 0.1657: : 729iter [01:08, 11.86iter/s]
Best score: 0.1657: : 730iter [01:08, 11.86iter/s]
Best score: 0.1657: : 731iter [01:08, 11.68iter/s]
Best score: 0.1657: : 731iter [01:08, 11.68iter/s]
Best score: 0.1657: : 732iter [01:08, 11.68iter/s]
Best score: 0.1657: : 733iter [01:08, 11.76iter/s]
Best score: 0.1657: : 733iter [01:08, 11.76iter/s]
Best score: 0.1657: : 734iter [01:08, 11.76iter/s]
Best score: 0.1657: : 735iter [01:08, 11.79iter/s]
Best score: 0.1657: : 735iter [01:08, 11.79iter/s]
Best score: 0.1657: : 736iter [01:08, 11.79iter/s]
Best score: 0.1657: : 737iter [01:08, 11.83iter/s]
Best score: 0.1657: : 737iter [01:08, 11.83iter/s]
Best score: 0.1657: : 738iter [01:08, 11.83iter/s]
Best score: 0.1657: : 739iter [01:08, 11.87iter/s]
Best score: 0.1657: : 739iter [01:08, 11.87iter/s]
Best score: 0.1657: : 740iter [01:08, 11.87iter/s]
Best score: 0.1657: : 741iter [01:08, 11.68iter/s]
Best score: 0.1657: : 741iter [01:09, 11.68iter/s]
Best score: 0.1657: : 742iter [01:09, 11.68iter/s]
Best score: 0.1657: : 743iter [01:09, 11.76iter/s]
Best score: 0.1657: : 743iter [01:09, 11.76iter/s]
Best score: 0.1657: : 744iter [01:09, 11.76iter/s]
Best score: 0.1657: : 745iter [01:09, 11.81iter/s]
Best score: 0.1657: : 745iter [01:09, 11.81iter/s]
Best score: 0.1657: : 746iter [01:09, 11.81iter/s]
Best score: 0.1657: : 747iter [01:09, 11.84iter/s]
Best score: 0.1657: : 747iter [01:09, 11.84iter/s]
Best score: 0.1657: : 748iter [01:09, 11.84iter/s]
Best score: 0.1657: : 749iter [01:09, 11.88iter/s]
[ITER 750] Best: 0.1657
[PARAMS] Current best parameters:
  fx: 506.6444
  fy: 507.0330
  px: 911.7056
  py: 939.7794
  k1: 0.06474282
  k2: -0.06665310
  k3: 0.04091238
  k4: -0.00988425
  p1: -0.00805277
  p2: 0.00098093
  p3: 0.01034388
  p4: -0.00718926
  s1: -0.0122
  s2: 0.0076
  s3: -0.0113
  s4: 0.0074
  tilt_x: 0.0286
  tilt_y: -0.0096
  scale: 2.9349
  rotation: -1.0091

Best score: 0.1657: : 749iter [01:09, 11.88iter/s]
Best score: 0.1657: : 750iter [01:10, 11.88iter/s]
Best score: 0.1657: : 751iter [01:10,  7.68iter/s]
Best score: 0.1657: : 751iter [01:10,  7.68iter/s]
Best score: 0.1657: : 752iter [01:10,  7.68iter/s]
Best score: 0.1657: : 753iter [01:10,  8.60iter/s]
Best score: 0.1657: : 753iter [01:10,  8.60iter/s]
Best score: 0.1657: : 754iter [01:10,  8.60iter/s]
Best score: 0.1657: : 755iter [01:10,  9.39iter/s]
Best score: 0.1657: : 755iter [01:10,  9.39iter/s]
Best score: 0.1657: : 756iter [01:10,  9.39iter/s]
Best score: 0.1657: : 757iter [01:10,  9.99iter/s]
Best score: 0.1657: : 757iter [01:10,  9.99iter/s]
Best score: 0.1657: : 758iter [01:10,  9.99iter/s]
Best score: 0.1657: : 759iter [01:10, 10.50iter/s]
Best score: 0.1656: : 759iter [01:10, 10.50iter/s]
Best score: 0.1656: : 760iter [01:10, 10.50iter/s]
Best score: 0.1656: : 761iter [01:10, 10.73iter/s]
Best score: 0.1656: : 761iter [01:11, 10.73iter/s]
Best score: 0.1656: : 762iter [01:11, 10.73iter/s]
Best score: 0.1656: : 763iter [01:11, 11.07iter/s]
Best score: 0.1656: : 763iter [01:11, 11.07iter/s]
Best score: 0.1656: : 764iter [01:11, 11.07iter/s]
Best score: 0.1656: : 765iter [01:11, 11.33iter/s]
Best score: 0.1656: : 765iter [01:11, 11.33iter/s]
Best score: 0.1656: : 766iter [01:11, 11.33iter/s]
Best score: 0.1656: : 767iter [01:11, 11.45iter/s]
Best score: 0.1656: : 767iter [01:11, 11.45iter/s]
Best score: 0.1656: : 768iter [01:11, 11.45iter/s]
Best score: 0.1656: : 769iter [01:11, 11.50iter/s]
Best score: 0.1639: : 769iter [01:11, 11.50iter/s]
Best score: 0.1639: : 770iter [01:11, 11.50iter/s]
Best score: 0.1639: : 771iter [01:11, 11.42iter/s]
Best score: 0.1639: : 771iter [01:11, 11.42iter/s]
Best score: 0.1639: : 772iter [01:11, 11.42iter/s]
Best score: 0.1639: : 773iter [01:11, 11.57iter/s]
Best score: 0.1639: : 773iter [01:12, 11.57iter/s]
Best score: 0.1639: : 774iter [01:12, 11.57iter/s]
Best score: 0.1639: : 775iter [01:12, 11.69iter/s]
Best score: 0.1639: : 775iter [01:12, 11.69iter/s]
Best score: 0.1639: : 776iter [01:12, 11.69iter/s]
Best score: 0.1639: : 777iter [01:12, 11.77iter/s]
Best score: 0.1639: : 777iter [01:12, 11.77iter/s]
Best score: 0.1639: : 778iter [01:12, 11.77iter/s]
Best score: 0.1639: : 779iter [01:12, 11.83iter/s]
Best score: 0.1619: : 779iter [01:12, 11.83iter/s]
Best score: 0.1619: : 780iter [01:12, 11.83iter/s]
Best score: 0.1619: : 781iter [01:12, 11.66iter/s]
Best score: 0.1619: : 781iter [01:12, 11.66iter/s]
Best score: 0.1619: : 782iter [01:12, 11.66iter/s]
Best score: 0.1619: : 783iter [01:12, 11.73iter/s]
Best score: 0.1619: : 783iter [01:12, 11.73iter/s]
Best score: 0.1619: : 784iter [01:12, 11.73iter/s]
Best score: 0.1619: : 785iter [01:12, 11.80iter/s]
Best score: 0.1619: : 785iter [01:13, 11.80iter/s]
Best score: 0.1619: : 786iter [01:13, 11.80iter/s]
Best score: 0.1619: : 787iter [01:13, 11.85iter/s]
Best score: 0.1619: : 787iter [01:13, 11.85iter/s]
Best score: 0.1619: : 788iter [01:13, 11.85iter/s]
Best score: 0.1619: : 789iter [01:13, 11.83iter/s]
Best score: 0.1615: : 789iter [01:13, 11.83iter/s]
Best score: 0.1615: : 790iter [01:13, 11.83iter/s]
Best score: 0.1615: : 791iter [01:13, 11.66iter/s]
Best score: 0.1615: : 791iter [01:13, 11.66iter/s]
Best score: 0.1615: : 792iter [01:13, 11.66iter/s]
Best score: 0.1615: : 793iter [01:13, 11.75iter/s]
Best score: 0.1615: : 793iter [01:13, 11.75iter/s]
Best score: 0.1615: : 794iter [01:13, 11.75iter/s]
Best score: 0.1615: : 795iter [01:13, 11.80iter/s]
Best score: 0.1615: : 795iter [01:13, 11.80iter/s]
Best score: 0.1615: : 796iter [01:13, 11.80iter/s]
Best score: 0.1615: : 797iter [01:13, 11.86iter/s]
Best score: 0.1615: : 797iter [01:14, 11.86iter/s]
Best score: 0.1615: : 798iter [01:14, 11.86iter/s]
Best score: 0.1615: : 799iter [01:14, 11.88iter/s]
[ITER 800] Best: 0.1614
[PARAMS] Current best parameters:
  fx: 506.9776
  fy: 507.2575
  px: 911.2704
  py: 939.1602
  k1: 0.06022452
  k2: -0.05677603
  k3: 0.03346233
  k4: -0.00806513
  p1: -0.00939958
  p2: 0.00229619
  p3: 0.01186979
  p4: -0.00760198
  s1: -0.0155
  s2: 0.0082
  s3: -0.0130
  s4: 0.0082
  tilt_x: 0.0288
  tilt_y: -0.0050
  scale: 2.9351
  rotation: -1.0014

Best score: 0.1614: : 799iter [01:14, 11.88iter/s]
Best score: 0.1614: : 800iter [01:14, 11.88iter/s]
Best score: 0.1614: : 801iter [01:14,  7.68iter/s]
Best score: 0.1614: : 801iter [01:14,  7.68iter/s]
Best score: 0.1614: : 802iter [01:14,  7.68iter/s]
Best score: 0.1614: : 803iter [01:14,  8.58iter/s]
Best score: 0.1614: : 803iter [01:14,  8.58iter/s]
Best score: 0.1614: : 804iter [01:14,  8.58iter/s]
Best score: 0.1614: : 805iter [01:14,  9.38iter/s]
Best score: 0.1614: : 805iter [01:15,  9.38iter/s]
Best score: 0.1614: : 806iter [01:15,  9.38iter/s]
Best score: 0.1614: : 807iter [01:15, 10.01iter/s]
Best score: 0.1614: : 807iter [01:15, 10.01iter/s]
Best score: 0.1614: : 808iter [01:15, 10.01iter/s]
Best score: 0.1614: : 809iter [01:15, 10.52iter/s]
Best score: 0.1599: : 809iter [01:15, 10.52iter/s]
Best score: 0.1599: : 810iter [01:15, 10.52iter/s]
Best score: 0.1599: : 811iter [01:15, 10.73iter/s]
Best score: 0.1599: : 811iter [01:15, 10.73iter/s]
Best score: 0.1599: : 812iter [01:15, 10.73iter/s]
Best score: 0.1599: : 813iter [01:15, 11.05iter/s]
Best score: 0.1599: : 813iter [01:15, 11.05iter/s]
Best score: 0.1599: : 814iter [01:15, 11.05iter/s]
Best score: 0.1599: : 815iter [01:15, 11.31iter/s]
Best score: 0.1599: : 815iter [01:15, 11.31iter/s]
Best score: 0.1599: : 816iter [01:15, 11.31iter/s]
Best score: 0.1599: : 817iter [01:15, 11.49iter/s]
Best score: 0.1599: : 817iter [01:16, 11.49iter/s]
Best score: 0.1599: : 818iter [01:16, 11.49iter/s]
Best score: 0.1599: : 819iter [01:16, 11.61iter/s]
Best score: 0.1596: : 819iter [01:16, 11.61iter/s]
Best score: 0.1596: : 820iter [01:16, 11.61iter/s]
Best score: 0.1596: : 821iter [01:16, 11.52iter/s]
Best score: 0.1596: : 821iter [01:16, 11.52iter/s]
Best score: 0.1596: : 822iter [01:16, 11.52iter/s]
Best score: 0.1596: : 823iter [01:16, 11.63iter/s]
Best score: 0.1596: : 823iter [01:16, 11.63iter/s]
Best score: 0.1596: : 824iter [01:16, 11.63iter/s]
Best score: 0.1596: : 825iter [01:16, 11.72iter/s]
Best score: 0.1596: : 825iter [01:16, 11.72iter/s]
Best score: 0.1596: : 826iter [01:16, 11.72iter/s]
Best score: 0.1596: : 827iter [01:16, 11.70iter/s]
Best score: 0.1596: : 827iter [01:16, 11.70iter/s]
Best score: 0.1596: : 828iter [01:17, 11.70iter/s]
Best score: 0.1596: : 829iter [01:17, 11.77iter/s]
Best score: 0.1580: : 829iter [01:17, 11.77iter/s]
Best score: 0.1580: : 830iter [01:17, 11.77iter/s]
Best score: 0.1580: : 831iter [01:17, 11.53iter/s]
Best score: 0.1580: : 831iter [01:17, 11.53iter/s]
Best score: 0.1580: : 832iter [01:17, 11.53iter/s]
Best score: 0.1580: : 833iter [01:17, 11.55iter/s]
Best score: 0.1580: : 833iter [01:17, 11.55iter/s]
Best score: 0.1580: : 834iter [01:17, 11.55iter/s]
Best score: 0.1580: : 835iter [01:17, 11.67iter/s]
Best score: 0.1580: : 835iter [01:17, 11.67iter/s]
Best score: 0.1580: : 836iter [01:17, 11.67iter/s]
Best score: 0.1580: : 837iter [01:17, 11.73iter/s]
Best score: 0.1580: : 837iter [01:17, 11.73iter/s]
Best score: 0.1580: : 838iter [01:17, 11.73iter/s]
Best score: 0.1580: : 839iter [01:17, 11.80iter/s]
Best score: 0.1568: : 839iter [01:17, 11.80iter/s]
Best score: 0.1568: : 840iter [01:18, 11.80iter/s]
Best score: 0.1568: : 841iter [01:18, 11.64iter/s]
Best score: 0.1568: : 841iter [01:18, 11.64iter/s]
Best score: 0.1568: : 842iter [01:18, 11.64iter/s]
Best score: 0.1568: : 843iter [01:18, 11.74iter/s]
Best score: 0.1568: : 843iter [01:18, 11.74iter/s]
Best score: 0.1568: : 844iter [01:18, 11.74iter/s]
Best score: 0.1568: : 845iter [01:18, 11.79iter/s]
Best score: 0.1568: : 845iter [01:18, 11.79iter/s]
Best score: 0.1568: : 846iter [01:18, 11.79iter/s]
Best score: 0.1568: : 847iter [01:18, 11.83iter/s]
Best score: 0.1568: : 847iter [01:18, 11.83iter/s]
Best score: 0.1568: : 848iter [01:18, 11.83iter/s]
Best score: 0.1568: : 849iter [01:18, 11.87iter/s]
[ITER 850] Best: 0.1561
[PARAMS] Current best parameters:
  fx: 504.2928
  fy: 504.6252
  px: 908.9509
  py: 938.5941
  k1: 0.04266956
  k2: -0.02326785
  k3: 0.01301546
  k4: -0.00367241
  p1: -0.00841242
  p2: 0.00248767
  p3: 0.01439428
  p4: -0.00943920
  s1: -0.0202
  s2: 0.0100
  s3: -0.0164
  s4: 0.0099
  tilt_x: 0.0239
  tilt_y: 0.0059
  scale: 2.9523
  rotation: -1.0035

Best score: 0.1561: : 849iter [01:18, 11.87iter/s]
Best score: 0.1561: : 850iter [01:19, 11.87iter/s]
Best score: 0.1561: : 851iter [01:19,  7.67iter/s]
Best score: 0.1561: : 851iter [01:19,  7.67iter/s]
Best score: 0.1561: : 852iter [01:19,  7.67iter/s]
Best score: 0.1561: : 853iter [01:19,  8.58iter/s]
Best score: 0.1561: : 853iter [01:19,  8.58iter/s]
Best score: 0.1561: : 854iter [01:19,  8.58iter/s]
Best score: 0.1561: : 855iter [01:19,  9.37iter/s]
Best score: 0.1561: : 855iter [01:19,  9.37iter/s]
Best score: 0.1561: : 856iter [01:19,  9.37iter/s]
Best score: 0.1561: : 857iter [01:19, 10.02iter/s]
Best score: 0.1561: : 857iter [01:19, 10.02iter/s]
Best score: 0.1561: : 858iter [01:19, 10.02iter/s]
Best score: 0.1561: : 859iter [01:19, 10.53iter/s]
Best score: 0.1557: : 859iter [01:19, 10.53iter/s]
Best score: 0.1557: : 860iter [01:20, 10.53iter/s]
Best score: 0.1557: : 861iter [01:20, 10.74iter/s]
Best score: 0.1557: : 861iter [01:20, 10.74iter/s]
Best score: 0.1557: : 862iter [01:20, 10.74iter/s]
Best score: 0.1557: : 863iter [01:20, 11.07iter/s]
Best score: 0.1557: : 863iter [01:20, 11.07iter/s]
Best score: 0.1557: : 864iter [01:20, 11.07iter/s]
Best score: 0.1557: : 865iter [01:20, 11.32iter/s]
Best score: 0.1557: : 865iter [01:20, 11.32iter/s]
Best score: 0.1557: : 866iter [01:20, 11.32iter/s]
Best score: 0.1557: : 867iter [01:20, 11.50iter/s]
Best score: 0.1557: : 867iter [01:20, 11.50iter/s]
Best score: 0.1557: : 868iter [01:20, 11.50iter/s]
Best score: 0.1557: : 869iter [01:20, 11.63iter/s]
Best score: 0.1553: : 869iter [01:20, 11.63iter/s]
Best score: 0.1553: : 870iter [01:20, 11.63iter/s]
Best score: 0.1553: : 871iter [01:20, 11.51iter/s]
Best score: 0.1553: : 871iter [01:20, 11.51iter/s]
Best score: 0.1553: : 872iter [01:21, 11.51iter/s]
Best score: 0.1553: : 873iter [01:21, 11.58iter/s]
Best score: 0.1553: : 873iter [01:21, 11.58iter/s]
Best score: 0.1553: : 874iter [01:21, 11.58iter/s]
Best score: 0.1553: : 875iter [01:21, 11.67iter/s]
Best score: 0.1553: : 875iter [01:21, 11.67iter/s]
Best score: 0.1553: : 876iter [01:21, 11.67iter/s]
Best score: 0.1553: : 877iter [01:21, 11.71iter/s]
Best score: 0.1553: : 877iter [01:21, 11.71iter/s]
Best score: 0.1553: : 878iter [01:21, 11.71iter/s]
Best score: 0.1553: : 879iter [01:21, 11.69iter/s]
Best score: 0.1553: : 879iter [01:21, 11.69iter/s]
Best score: 0.1553: : 880iter [01:21, 11.69iter/s]
Best score: 0.1553: : 881iter [01:21, 11.52iter/s]
Best score: 0.1553: : 881iter [01:21, 11.52iter/s]
Best score: 0.1553: : 882iter [01:21, 11.52iter/s]
Best score: 0.1553: : 883iter [01:21, 11.64iter/s]
Best score: 0.1553: : 883iter [01:21, 11.64iter/s]
Best score: 0.1553: : 884iter [01:22, 11.64iter/s]
Best score: 0.1553: : 885iter [01:22, 11.73iter/s]
Best score: 0.1553: : 885iter [01:22, 11.73iter/s]
Best score: 0.1553: : 886iter [01:22, 11.73iter/s]
Best score: 0.1553: : 887iter [01:22, 11.79iter/s]
Best score: 0.1553: : 887iter [01:22, 11.79iter/s]
Best score: 0.1553: : 888iter [01:22, 11.79iter/s]
Best score: 0.1553: : 889iter [01:22, 11.85iter/s]
Best score: 0.1545: : 889iter [01:22, 11.85iter/s]
Best score: 0.1545: : 890iter [01:22, 11.85iter/s]
Best score: 0.1545: : 891iter [01:22, 11.68iter/s]
Best score: 0.1545: : 891iter [01:22, 11.68iter/s]
Best score: 0.1545: : 892iter [01:22, 11.68iter/s]
Best score: 0.1545: : 893iter [01:22, 11.76iter/s]
Best score: 0.1545: : 893iter [01:22, 11.76iter/s]
Best score: 0.1545: : 894iter [01:22, 11.76iter/s]
Best score: 0.1545: : 895iter [01:22, 11.80iter/s]
Best score: 0.1545: : 895iter [01:23, 11.80iter/s]
Best score: 0.1545: : 896iter [01:23, 11.80iter/s]
Best score: 0.1545: : 897iter [01:23, 11.80iter/s]
Best score: 0.1545: : 897iter [01:23, 11.80iter/s]
Best score: 0.1545: : 898iter [01:23, 11.80iter/s]
Best score: 0.1545: : 899iter [01:23, 11.74iter/s]
[ITER 900] Best: 0.1545
[PARAMS] Current best parameters:
  fx: 504.9030
  fy: 505.2448
  px: 909.2796
  py: 938.8218
  k1: 0.04628830
  k2: -0.03129164
  k3: 0.01860511
  k4: -0.00502002
  p1: -0.00899139
  p2: 0.00300029
  p3: 0.01431427
  p4: -0.00951606
  s1: -0.0205
  s2: 0.0102
  s3: -0.0158
  s4: 0.0101
  tilt_x: 0.0263
  tilt_y: 0.0055
  scale: 2.9492
  rotation: -0.9985

Best score: 0.1545: : 899iter [01:23, 11.74iter/s]
Best score: 0.1545: : 900iter [01:23, 11.74iter/s]
Best score: 0.1545: : 901iter [01:23,  7.58iter/s]
Best score: 0.1545: : 901iter [01:23,  7.58iter/s]
Best score: 0.1545: : 902iter [01:23,  7.58iter/s]
Best score: 0.1545: : 903iter [01:23,  8.51iter/s]
Best score: 0.1545: : 903iter [01:23,  8.51iter/s]
Best score: 0.1545: : 904iter [01:24,  8.51iter/s]
Best score: 0.1545: : 905iter [01:24,  9.31iter/s]
Best score: 0.1545: : 905iter [01:24,  9.31iter/s]
Best score: 0.1545: : 906iter [01:24,  9.31iter/s]
Best score: 0.1545: : 907iter [01:24,  9.97iter/s]
Best score: 0.1545: : 907iter [01:24,  9.97iter/s]
Best score: 0.1545: : 908iter [01:24,  9.97iter/s]
Best score: 0.1545: : 909iter [01:24, 10.40iter/s]
Best score: 0.1545: : 909iter [01:24, 10.40iter/s]
Best score: 0.1545: : 910iter [01:24, 10.40iter/s]
Best score: 0.1545: : 911iter [01:24, 10.57iter/s]
Best score: 0.1545: : 911iter [01:24, 10.57iter/s]
Best score: 0.1545: : 912iter [01:24, 10.57iter/s]
Best score: 0.1545: : 913iter [01:24, 10.89iter/s]
Best score: 0.1545: : 913iter [01:24, 10.89iter/s]
Best score: 0.1545: : 914iter [01:24, 10.89iter/s]
Best score: 0.1545: : 915iter [01:24, 11.18iter/s]
Best score: 0.1545: : 915iter [01:25, 11.18iter/s]
Best score: 0.1545: : 916iter [01:25, 11.18iter/s]
Best score: 0.1545: : 917iter [01:25, 11.33iter/s]
Best score: 0.1545: : 917iter [01:25, 11.33iter/s]
Best score: 0.1545: : 918iter [01:25, 11.33iter/s]
Best score: 0.1545: : 919iter [01:25, 11.48iter/s]
Best score: 0.1543: : 919iter [01:25, 11.48iter/s]
Best score: 0.1543: : 920iter [01:25, 11.48iter/s]
Best score: 0.1543: : 921iter [01:25, 11.34iter/s]
Best score: 0.1543: : 921iter [01:25, 11.34iter/s]
Best score: 0.1543: : 922iter [01:25, 11.34iter/s]
Best score: 0.1543: : 923iter [01:25, 11.42iter/s]
Best score: 0.1543: : 923iter [01:25, 11.42iter/s]
Best score: 0.1543: : 924iter [01:25, 11.42iter/s]
Best score: 0.1543: : 925iter [01:25, 11.58iter/s]
Best score: 0.1543: : 925iter [01:25, 11.58iter/s]
Best score: 0.1543: : 926iter [01:25, 11.58iter/s]
Best score: 0.1543: : 927iter [01:25, 11.69iter/s]
Best score: 0.1543: : 927iter [01:26, 11.69iter/s]
Best score: 0.1543: : 928iter [01:26, 11.69iter/s]
Best score: 0.1543: : 929iter [01:26, 11.78iter/s]
Best score: 0.1542: : 929iter [01:26, 11.78iter/s]
Best score: 0.1542: : 930iter [01:26, 11.78iter/s]
Best score: 0.1542: : 931iter [01:26, 11.63iter/s]
Best score: 0.1542: : 931iter [01:26, 11.63iter/s]
Best score: 0.1542: : 932iter [01:26, 11.63iter/s]
Best score: 0.1542: : 933iter [01:26, 11.72iter/s]
Best score: 0.1542: : 933iter [01:26, 11.72iter/s]
Best score: 0.1542: : 934iter [01:26, 11.72iter/s]
Best score: 0.1542: : 935iter [01:26, 11.74iter/s]
Best score: 0.1542: : 935iter [01:26, 11.74iter/s]
Best score: 0.1542: : 936iter [01:26, 11.74iter/s]
Best score: 0.1542: : 937iter [01:26, 11.71iter/s]
Best score: 0.1542: : 937iter [01:26, 11.71iter/s]
Best score: 0.1542: : 938iter [01:26, 11.71iter/s]
Best score: 0.1542: : 939iter [01:26, 11.69iter/s]
Best score: 0.1536: : 939iter [01:27, 11.69iter/s]
Best score: 0.1536: : 940iter [01:27, 11.69iter/s]
Best score: 0.1536: : 941iter [01:27, 11.50iter/s]
Best score: 0.1536: : 941iter [01:27, 11.50iter/s]
Best score: 0.1536: : 942iter [01:27, 11.50iter/s]
Best score: 0.1536: : 943iter [01:27, 11.57iter/s]
Best score: 0.1536: : 943iter [01:27, 11.57iter/s]
Best score: 0.1536: : 944iter [01:27, 11.57iter/s]
Best score: 0.1536: : 945iter [01:27, 11.69iter/s]
Best score: 0.1536: : 945iter [01:27, 11.69iter/s]
Best score: 0.1536: : 946iter [01:27, 11.69iter/s]
Best score: 0.1536: : 947iter [01:27, 11.78iter/s]
Best score: 0.1536: : 947iter [01:27, 11.78iter/s]
Best score: 0.1536: : 948iter [01:27, 11.78iter/s]
Best score: 0.1536: : 949iter [01:27, 11.82iter/s]
[ITER 950] Best: 0.1534
[PARAMS] Current best parameters:
  fx: 504.6908
  fy: 505.0808
  px: 910.1950
  py: 939.3610
  k1: 0.04250048
  k2: -0.02323794
  k3: 0.01298166
  k4: -0.00370438
  p1: -0.00857166
  p2: 0.00283219
  p3: 0.01404437
  p4: -0.00989856
  s1: -0.0190
  s2: 0.0106
  s3: -0.0154
  s4: 0.0104
  tilt_x: 0.0280
  tilt_y: 0.0014
  scale: 2.9511
  rotation: -1.0050

Best score: 0.1534: : 949iter [01:27, 11.82iter/s]
Best score: 0.1534: : 950iter [01:28, 11.82iter/s]
Best score: 0.1534: : 951iter [01:28,  7.65iter/s]
Best score: 0.1534: : 951iter [01:28,  7.65iter/s]
Best score: 0.1534: : 952iter [01:28,  7.65iter/s]
Best score: 0.1534: : 953iter [01:28,  8.55iter/s]
Best score: 0.1534: : 953iter [01:28,  8.55iter/s]
Best score: 0.1534: : 954iter [01:28,  8.55iter/s]
Best score: 0.1534: : 955iter [01:28,  9.34iter/s]
Best score: 0.1534: : 955iter [01:28,  9.34iter/s]
Best score: 0.1534: : 956iter [01:28,  9.34iter/s]
Best score: 0.1534: : 957iter [01:28,  9.99iter/s]
Best score: 0.1534: : 957iter [01:28,  9.99iter/s]
Best score: 0.1534: : 958iter [01:28,  9.99iter/s]
Best score: 0.1534: : 959iter [01:28, 10.51iter/s]
Best score: 0.1533: : 959iter [01:29, 10.51iter/s]
Best score: 0.1533: : 960iter [01:29, 10.51iter/s]
Best score: 0.1533: : 961iter [01:29, 10.69iter/s]
Best score: 0.1533: : 961iter [01:29, 10.69iter/s]
Best score: 0.1533: : 962iter [01:29, 10.69iter/s]
Best score: 0.1533: : 963iter [01:29, 10.99iter/s]
Best score: 0.1533: : 963iter [01:29, 10.99iter/s]
Best score: 0.1533: : 964iter [01:29, 10.99iter/s]
Best score: 0.1533: : 965iter [01:29, 11.26iter/s]
Best score: 0.1533: : 965iter [01:29, 11.26iter/s]
Best score: 0.1533: : 966iter [01:29, 11.26iter/s]
Best score: 0.1533: : 967iter [01:29, 11.45iter/s]
Best score: 0.1533: : 967iter [01:29, 11.45iter/s]
Best score: 0.1533: : 968iter [01:29, 11.45iter/s]
Best score: 0.1533: : 969iter [01:29, 11.59iter/s]
Best score: 0.1533: : 969iter [01:29, 11.59iter/s]
Best score: 0.1533: : 970iter [01:30, 11.59iter/s]
Best score: 0.1533: : 971iter [01:30, 11.50iter/s]
Best score: 0.1533: : 971iter [01:30, 11.50iter/s]
Best score: 0.1533: : 972iter [01:30, 11.50iter/s]
Best score: 0.1533: : 973iter [01:30, 11.63iter/s]
Best score: 0.1533: : 973iter [01:30, 11.63iter/s]
Best score: 0.1533: : 974iter [01:30, 11.63iter/s]
Best score: 0.1533: : 975iter [01:30, 11.71iter/s]
Best score: 0.1533: : 975iter [01:30, 11.71iter/s]
Best score: 0.1533: : 976iter [01:30, 11.71iter/s]
Best score: 0.1533: : 977iter [01:30, 11.78iter/s]
Best score: 0.1533: : 977iter [01:30, 11.78iter/s]
Best score: 0.1533: : 978iter [01:30, 11.78iter/s]
Best score: 0.1533: : 979iter [01:30, 11.84iter/s]
Best score: 0.1531: : 979iter [01:30, 11.84iter/s]
Best score: 0.1531: : 980iter [01:30, 11.84iter/s]
Best score: 0.1531: : 981iter [01:30, 11.67iter/s]
Best score: 0.1531: : 981iter [01:30, 11.67iter/s]
Best score: 0.1531: : 982iter [01:31, 11.67iter/s]
Best score: 0.1531: : 983iter [01:31, 11.74iter/s]
Best score: 0.1531: : 983iter [01:31, 11.74iter/s]
Best score: 0.1531: : 984iter [01:31, 11.74iter/s]
Best score: 0.1531: : 985iter [01:31, 11.81iter/s]
Best score: 0.1531: : 985iter [01:31, 11.81iter/s]
Best score: 0.1531: : 986iter [01:31, 11.81iter/s]
Best score: 0.1531: : 987iter [01:31, 11.76iter/s]
Best score: 0.1531: : 987iter [01:31, 11.76iter/s]
Best score: 0.1531: : 988iter [01:31, 11.76iter/s]
Best score: 0.1531: : 989iter [01:31, 11.73iter/s]
Best score: 0.1531: : 989iter [01:31, 11.73iter/s]
Best score: 0.1531: : 990iter [01:31, 11.73iter/s]
Best score: 0.1531: : 991iter [01:31, 11.58iter/s]
Best score: 0.1531: : 991iter [01:31, 11.58iter/s]
Best score: 0.1531: : 992iter [01:31, 11.58iter/s]
Best score: 0.1531: : 993iter [01:31, 11.70iter/s]
Best score: 0.1531: : 993iter [01:31, 11.70iter/s]
Best score: 0.1531: : 994iter [01:32, 11.70iter/s]
Best score: 0.1531: : 995iter [01:32, 11.77iter/s]
Best score: 0.1531: : 995iter [01:32, 11.77iter/s]
Best score: 0.1531: : 996iter [01:32, 11.77iter/s]
Best score: 0.1531: : 997iter [01:32, 11.83iter/s]
Best score: 0.1531: : 997iter [01:32, 11.83iter/s]
Best score: 0.1531: : 998iter [01:32, 11.83iter/s]
Best score: 0.1531: : 999iter [01:32, 11.87iter/s]
[ITER 1000] Best: 0.1530
[PARAMS] Current best parameters:
  fx: 504.7413
  fy: 505.1408
  px: 909.9512
  py: 939.3383
  k1: 0.04028504
  k2: -0.01976331
  k3: 0.01089165
  k4: -0.00325500
  p1: -0.00854099
  p2: 0.00317258
  p3: 0.01383558
  p4: -0.00984442
  s1: -0.0195
  s2: 0.0104
  s3: -0.0152
  s4: 0.0103
  tilt_x: 0.0278
  tilt_y: 0.0030
  scale: 2.9532
  rotation: -1.0009

Best score: 0.1530: : 999iter [01:32, 11.87iter/s]
Best score: 0.1530: : 1000iter [01:32, 11.87iter/s]
Best score: 0.1530: : 1001iter [01:32,  7.67iter/s]
Best score: 0.1530: : 1001iter [01:32,  7.67iter/s]
Best score: 0.1530: : 1002iter [01:33,  7.67iter/s]
Best score: 0.1530: : 1003iter [01:33,  8.60iter/s]
Best score: 0.1530: : 1003iter [01:33,  8.60iter/s]
Best score: 0.1530: : 1004iter [01:33,  8.60iter/s]
Best score: 0.1530: : 1005iter [01:33,  9.39iter/s]
Best score: 0.1530: : 1005iter [01:33,  9.39iter/s]
Best score: 0.1530: : 1006iter [01:33,  9.39iter/s]
Best score: 0.1530: : 1007iter [01:33, 10.01iter/s]
Best score: 0.1530: : 1007iter [01:33, 10.01iter/s]
Best score: 0.1530: : 1008iter [01:33, 10.01iter/s]
Best score: 0.1530: : 1009iter [01:33, 10.53iter/s]
Best score: 0.1530: : 1009iter [01:33, 10.53iter/s]
Best score: 0.1530: : 1010iter [01:33, 10.53iter/s]
Best score: 0.1530: : 1011iter [01:33, 10.74iter/s]
Best score: 0.1530: : 1011iter [01:33, 10.74iter/s]
Best score: 0.1530: : 1012iter [01:33, 10.74iter/s]
Best score: 0.1530: : 1013iter [01:33, 11.07iter/s]
Best score: 0.1530: : 1013iter [01:33, 11.07iter/s]
Best score: 0.1530: : 1014iter [01:34, 11.07iter/s]
Best score: 0.1530: : 1015iter [01:34, 11.33iter/s]
Best score: 0.1530: : 1015iter [01:34, 11.33iter/s]
Best score: 0.1530: : 1016iter [01:34, 11.33iter/s]
Best score: 0.1530: : 1017iter [01:34, 11.46iter/s]
Best score: 0.1530: : 1017iter [01:34, 11.46iter/s]
Best score: 0.1530: : 1018iter [01:34, 11.46iter/s]
Best score: 0.1530: : 1019iter [01:34, 11.60iter/s]
Best score: 0.1530: : 1019iter [01:34, 11.60iter/s]
Best score: 0.1530: : 1020iter [01:34, 11.60iter/s]
Best score: 0.1530: : 1021iter [01:34, 11.49iter/s]
Best score: 0.1530: : 1021iter [01:34, 11.49iter/s]
Best score: 0.1530: : 1022iter [01:34, 11.49iter/s]
Best score: 0.1530: : 1023iter [01:34,  9.53iter/s]
Best score: 0.1530: : 1023iter [01:34,  9.53iter/s]
Best score: 0.1530: : 1024iter [01:35,  9.53iter/s]
Best score: 0.1530: : 1025iter [01:35, 10.16iter/s]
Best score: 0.1530: : 1025iter [01:35, 10.16iter/s]
Best score: 0.1530: : 1026iter [01:35, 10.16iter/s]
Best score: 0.1530: : 1027iter [01:35, 10.56iter/s]
Best score: 0.1530: : 1027iter [01:35, 10.56iter/s]
Best score: 0.1530: : 1028iter [01:35, 10.56iter/s]
Best score: 0.1530: : 1029iter [01:35, 10.86iter/s]
Best score: 0.1530: : 1029iter [01:35, 10.86iter/s]
Best score: 0.1530: : 1030iter [01:35, 10.86iter/s]
Best score: 0.1530: : 1031iter [01:35, 10.96iter/s]
Best score: 0.1530: : 1031iter [01:35, 10.96iter/s]
Best score: 0.1530: : 1032iter [01:35, 10.96iter/s]
Best score: 0.1530: : 1033iter [01:35, 11.19iter/s]
Best score: 0.1530: : 1033iter [01:35, 11.19iter/s]
Best score: 0.1530: : 1034iter [01:35, 11.19iter/s]
Best score: 0.1530: : 1035iter [01:35, 11.40iter/s]
Best score: 0.1530: : 1035iter [01:35, 11.40iter/s]
Best score: 0.1530: : 1036iter [01:36, 11.40iter/s]
Best score: 0.1530: : 1037iter [01:36, 11.55iter/s]
Best score: 0.1530: : 1037iter [01:36, 11.55iter/s]
Best score: 0.1530: : 1038iter [01:36, 11.55iter/s]
Best score: 0.1530: : 1039iter [01:36, 11.68iter/s]
Best score: 0.1530: : 1039iter [01:36, 11.68iter/s]
Best score: 0.1530: : 1040iter [01:36, 11.68iter/s]
Best score: 0.1530: : 1041iter [01:36, 11.53iter/s]
Best score: 0.1530: : 1041iter [01:36, 11.53iter/s]
Best score: 0.1530: : 1042iter [01:36, 11.53iter/s]
Best score: 0.1530: : 1043iter [01:36, 11.66iter/s]
Best score: 0.1530: : 1043iter [01:36, 11.66iter/s]
Best score: 0.1530: : 1044iter [01:36, 11.66iter/s]
Best score: 0.1530: : 1045iter [01:36, 11.69iter/s]
Best score: 0.1530: : 1045iter [01:36, 11.69iter/s]
Best score: 0.1530: : 1046iter [01:36, 11.69iter/s]
Best score: 0.1530: : 1047iter [01:36, 11.67iter/s]
Best score: 0.1530: : 1047iter [01:36, 11.67iter/s]
Best score: 0.1530: : 1048iter [01:37, 11.67iter/s]
Best score: 0.1530: : 1049iter [01:37, 11.75iter/s]
[ITER 1050] Best: 0.1530
[PARAMS] Current best parameters:
  fx: 504.8058
  fy: 505.1951
  px: 909.8655
  py: 939.3145
  k1: 0.04101005
  k2: -0.02083960
  k3: 0.01143437
  k4: -0.00335108
  p1: -0.00842592
  p2: 0.00257854
  p3: 0.01379089
  p4: -0.00978861
  s1: -0.0191
  s2: 0.0105
  s3: -0.0152
  s4: 0.0103
  tilt_x: 0.0273
  tilt_y: 0.0022
  scale: 2.9522
  rotation: -1.0028

Best score: 0.1530: : 1049iter [01:37, 11.75iter/s]
Best score: 0.1530: : 1050iter [01:37, 11.75iter/s]
Best score: 0.1530: : 1051iter [01:37,  7.60iter/s]
Best score: 0.1530: : 1051iter [01:37,  7.60iter/s]
Best score: 0.1530: : 1052iter [01:37,  7.60iter/s]
Best score: 0.1530: : 1053iter [01:37,  8.53iter/s]
Best score: 0.1530: : 1053iter [01:37,  8.53iter/s]
Best score: 0.1530: : 1054iter [01:37,  8.53iter/s]
Best score: 0.1530: : 1055iter [01:37,  9.33iter/s]
Best score: 0.1530: : 1055iter [01:37,  9.33iter/s]
Best score: 0.1530: : 1056iter [01:38,  9.33iter/s]
Best score: 0.1530: : 1057iter [01:38,  9.95iter/s]
Best score: 0.1530: : 1057iter [01:38,  9.95iter/s]
Best score: 0.1530: : 1058iter [01:38,  9.95iter/s]
Best score: 0.1530: : 1059iter [01:38, 10.48iter/s]
Best score: 0.1529: : 1059iter [01:38, 10.48iter/s]
Best score: 0.1529: : 1060iter [01:38, 10.48iter/s]
Best score: 0.1529: : 1061iter [01:38, 10.71iter/s]
Best score: 0.1529: : 1061iter [01:38, 10.71iter/s]
Best score: 0.1529: : 1062iter [01:38, 10.71iter/s]
Best score: 0.1529: : 1063iter [01:38, 11.05iter/s]
Best score: 0.1529: : 1063iter [01:38, 11.05iter/s]
Best score: 0.1529: : 1064iter [01:38, 11.05iter/s]
Best score: 0.1529: : 1065iter [01:38, 11.29iter/s]
Best score: 0.1529: : 1065iter [01:38, 11.29iter/s]
Best score: 0.1529: : 1066iter [01:38, 11.29iter/s]
Best score: 0.1529: : 1067iter [01:38, 11.49iter/s]
Best score: 0.1529: : 1067iter [01:38, 11.49iter/s]
Best score: 0.1529: : 1068iter [01:39, 11.49iter/s]
Best score: 0.1529: : 1069iter [01:39, 11.62iter/s]
Best score: 0.1529: : 1069iter [01:39, 11.62iter/s]
Best score: 0.1529: : 1070iter [01:39, 11.62iter/s]
Best score: 0.1529: : 1071iter [01:39, 11.53iter/s]
Best score: 0.1529: : 1071iter [01:39, 11.53iter/s]
Best score: 0.1529: : 1072iter [01:39, 11.53iter/s]
Best score: 0.1529: : 1073iter [01:39, 11.67iter/s]
Best score: 0.1529: : 1073iter [01:39, 11.67iter/s]
Best score: 0.1529: : 1074iter [01:39, 11.67iter/s]
Best score: 0.1529: : 1075iter [01:39, 11.76iter/s]
Best score: 0.1529: : 1075iter [01:39, 11.76iter/s]
Best score: 0.1529: : 1076iter [01:39, 11.76iter/s]
Best score: 0.1529: : 1077iter [01:39, 11.75iter/s]
Best score: 0.1529: : 1077iter [01:39, 11.75iter/s]
Best score: 0.1529: : 1078iter [01:39, 11.75iter/s]
Best score: 0.1529: : 1079iter [01:39, 11.81iter/s]
Best score: 0.1529: : 1079iter [01:40, 11.81iter/s]
Best score: 0.1529: : 1080iter [01:40, 11.81iter/s]
Best score: 0.1529: : 1081iter [01:40, 11.64iter/s]
Best score: 0.1529: : 1081iter [01:40, 11.64iter/s]
Best score: 0.1529: : 1082iter [01:40, 11.64iter/s]
Best score: 0.1529: : 1083iter [01:40, 11.67iter/s]
Best score: 0.1529: : 1083iter [01:40, 11.67iter/s]
Best score: 0.1529: : 1084iter [01:40, 11.67iter/s]
Best score: 0.1529: : 1085iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1085iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1086iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1087iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1087iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1088iter [01:40, 11.77iter/s]
Best score: 0.1529: : 1089iter [01:40, 11.83iter/s]
Best score: 0.1529: : 1089iter [01:40, 11.83iter/s]
Best score: 0.1529: : 1090iter [01:40, 11.83iter/s]
Best score: 0.1529: : 1091iter [01:40, 11.67iter/s]
Best score: 0.1529: : 1091iter [01:41, 11.67iter/s]
Best score: 0.1529: : 1092iter [01:41, 11.67iter/s]
Best score: 0.1529: : 1093iter [01:41, 11.77iter/s]
Best score: 0.1529: : 1093iter [01:41, 11.77iter/s]
Best score: 0.1529: : 1094iter [01:41, 11.77iter/s]
Best score: 0.1529: : 1095iter [01:41, 11.84iter/s]
Best score: 0.1529: : 1095iter [01:41, 11.84iter/s]
Best score: 0.1529: : 1096iter [01:41, 11.84iter/s]
Best score: 0.1529: : 1097iter [01:41, 11.87iter/s]
Best score: 0.1529: : 1097iter [01:41, 11.87iter/s]
Best score: 0.1529: : 1098iter [01:41, 11.87iter/s]
Best score: 0.1529: : 1099iter [01:41, 11.89iter/s]
[ITER 1100] Best: 0.1529
[PARAMS] Current best parameters:
  fx: 505.3413
  fy: 505.7338
  px: 910.0553
  py: 939.2449
  k1: 0.03972413
  k2: -0.01963169
  k3: 0.01068863
  k4: -0.00317958
  p1: -0.00845780
  p2: 0.00303787
  p3: 0.01310751
  p4: -0.00985298
  s1: -0.0187
  s2: 0.0107
  s3: -0.0146
  s4: 0.0103
  tilt_x: 0.0272
  tilt_y: 0.0023
  scale: 2.9527
  rotation: -1.0003

Best score: 0.1529: : 1099iter [01:41, 11.89iter/s]
[📈] Running L-BFGS-B polish after 1100 DE iterations...

Best score: 0.1529: : 1100iter [01:42, 10.78iter/s]
  Polish improved score: 0.152890 -> 0.152828

[⭕] Ring refinement pass (3500mm diameter)...
  Points: 100,986 → 93,929 within 3500mm ring
  Ring polish did not improve score: 0.152828
  Success: True
  Tangential distortion: p1=-0.008464, p2=0.003050, p3=0.013107, p4=-0.009858
  ✓ Tangential correction is significant for corner improvement
[✅] Square reference optimization complete. Score: 0.1528
[✅] Parameters copied to: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/params.json
[📌] Selecting best parameters...
[✅] Saved final refined parameters.


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


[DEBUG] Parameters being applied to PTD conversion:
    fx: 505.3412907913384
    fy: 505.7337742947294
    px: 910.0553036139507
    py: 939.2449423355994
    k1: 0.03972859094415846
    k2: -0.019626296240074937
    k3: 0.010694188255119485
    k4: -0.003186649413696663
    p1: -0.008463930634745943
    p2: 0.0030495647782905052
    p3: 0.01310680735136331
    p4: -0.009857871908036265
    scale: 2.9526506185935038
    rotation: -1.0003397594741084
    mmpp: 3.372952555963088

[🔄] Converting 878 frames to PTD, creating debug images for 400 calibration frames...

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

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   🔄 2000L:  61%|██████    | 109/179 [00:00<00:00, 177.10frame/s]

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   🔄 2000L:  81%|████████  | 145/179 [00:00<00:00, 177.07frame/s]

   🔄 2000L:  91%|█████████ | 163/179 [00:00<00:00, 177.40frame/s]

                                                                  
📁 Rigs:  25%|██▌       | 1/4 [00:01<00:05,  1.82s/rig]

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   🔄 2000R:  85%|████████▍ | 237/279 [00:01<00:00, 178.99frame/s]

   🔄 2000R:  91%|█████████▏| 255/279 [00:01<00:00, 178.45frame/s]

   🔄 2000R:  98%|█████████▊| 273/279 [00:01<00:00, 177.91frame/s]

                                                                  
📁 Rigs:  50%|█████     | 2/4 [00:04<00:04,  2.49s/rig]

   🔄 1500:   0%|          | 0/257 [00:00<?, ?frame/s]

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   🔄 1500:  43%|████▎     | 111/257 [00:00<00:00, 180.05frame/s]

   🔄 1500:  51%|█████     | 130/257 [00:00<00:00, 181.03frame/s]

   🔄 1500:  58%|█████▊    | 149/257 [00:00<00:00, 181.93frame/s]

   🔄 1500:  65%|██████▌   | 168/257 [00:00<00:00, 182.00frame/s]

   🔄 1500:  73%|███████▎  | 187/257 [00:01<00:00, 182.03frame/s]

   🔄 1500:  80%|████████  | 206/257 [00:01<00:00, 180.57frame/s]

   🔄 1500:  88%|████████▊ | 225/257 [00:01<00:00, 180.13frame/s]

   🔄 1500:  95%|█████████▍| 244/257 [00:01<00:00, 180.08frame/s]

                                                                 
📁 Rigs:  75%|███████▌  | 3/4 [00:07<00:02,  2.51s/rig]

   🔄 1000:   0%|          | 0/163 [00:00<?, ?frame/s]

   🔄 1000:  12%|█▏        | 19/163 [00:00<00:00, 182.28frame/s]

   🔄 1000:  23%|██▎       | 38/163 [00:00<00:00, 184.53frame/s]

   🔄 1000:  35%|███▍      | 57/163 [00:00<00:00, 184.91frame/s]

   🔄 1000:  47%|████▋     | 76/163 [00:00<00:00, 184.98frame/s]

   🔄 1000:  58%|█████▊    | 95/163 [00:00<00:00, 185.52frame/s]

   🔄 1000:  70%|██████▉   | 114/163 [00:00<00:00, 183.79frame/s]

   🔄 1000:  82%|████████▏ | 133/163 [00:00<00:00, 183.54frame/s]

   🔄 1000:  93%|█████████▎| 152/163 [00:00<00:00, 184.08frame/s]

                                                                 
📁 Rigs: 100%|██████████| 4/4 [00:08<00:00,  2.16s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:08<00:00,  2.23s/rig]
[✅] Saved PTDs: /working/MDCP3D-SL-001_W036(6)_2026-03-23/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, 171.72frame/s]

   🔄 2000L:  36%|███▌      | 36/100 [00:00<00:00, 174.19frame/s]

   🔄 2000L:  54%|█████▍    | 54/100 [00:00<00:00, 173.37frame/s]

   🔄 2000L:  72%|███████▏  | 72/100 [00:00<00:00, 173.16frame/s]

   🔄 2000L:  90%|█████████ | 90/100 [00:00<00:00, 174.74frame/s]

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

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

   🔄 2000R:  18%|█▊        | 18/100 [00:00<00:00, 175.19frame/s]

   🔄 2000R:  36%|███▌      | 36/100 [00:00<00:00, 175.74frame/s]

   🔄 2000R:  54%|█████▍    | 54/100 [00:00<00:00, 175.68frame/s]

   🔄 2000R:  72%|███████▏  | 72/100 [00:00<00:00, 176.31frame/s]

   🔄 2000R:  90%|█████████ | 90/100 [00:00<00:00, 176.22frame/s]

                                                                 
📁 Rigs:  50%|█████     | 2/4 [00:02<00:02,  1.04s/rig]

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

   🔄 1500:  18%|█▊        | 18/100 [00:00<00:00, 173.98frame/s]

   🔄 1500:  36%|███▌      | 36/100 [00:00<00:00, 175.00frame/s]

   🔄 1500:  54%|█████▍    | 54/100 [00:00<00:00, 176.70frame/s]

   🔄 1500:  73%|███████▎  | 73/100 [00:00<00:00, 177.89frame/s]

   🔄 1500:  91%|█████████ | 91/100 [00:00<00:00, 177.90frame/s]

                                                                
📁 Rigs:  75%|███████▌  | 3/4 [00:02<00:00,  1.02rig/s]

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

   🔄 1000:  19%|█▉        | 19/100 [00:00<00:00, 183.65frame/s]

   🔄 1000:  38%|███▊      | 38/100 [00:00<00:00, 185.55frame/s]

   🔄 1000:  57%|█████▋    | 57/100 [00:00<00:00, 186.10frame/s]

   🔄 1000:  76%|███████▌  | 76/100 [00:00<00:00, 185.80frame/s]

   🔄 1000:  95%|█████████▌| 95/100 [00:00<00:00, 186.17frame/s]

                                                                
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.01s/rig]
📁 Rigs: 100%|██████████| 4/4 [00:04<00:00,  1.01s/rig]
[✅] Saved PTDs: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/4_undistorted/temp_ptd
[WARN] No .tfd files found for serial extraction
[WARN] Failed to extract serial number from .tfd file. Check that .tfd files exist and contain 'LASERbidh' or 'LASERbidg' pattern. Using 'unknown' as fallback.

📤 Writing LUT:   0%|          | 0/3240000 [00:00<?, ?px/s]
📤 Writing LUT:   2%|▏         | 78822/3240000 [00:00<00:04, 788215.11px/s]
📤 Writing LUT:   5%|▌         | 163869/3240000 [00:00<00:03, 824830.22px/s]
📤 Writing LUT:   8%|▊         | 246353/3240000 [00:00<00:03, 769643.65px/s]
📤 Writing LUT:  10%|▉         | 323725/3240000 [00:00<00:04, 605713.55px/s]
📤 Writing LUT:  12%|█▏        | 388290/3240000 [00:00<00:05, 548495.62px/s]
📤 Writing LUT:  14%|█▍        | 445936/3240000 [00:00<00:05, 524200.35px/s]
📤 Writing LUT:  15%|█▌        | 500018/3240000 [00:00<00:05, 523247.14px/s]
📤 Writing LUT:  17%|█▋        | 557801/3240000 [00:00<00:04, 538317.42px/s]
📤 Writing LUT:  19%|█▉        | 615473/3240000 [00:01<00:04, 549178.73px/s]
📤 Writing LUT:  21%|██        | 673282/3240000 [00:01<00:04, 557498.61px/s]
📤 Writing LUT:  23%|██▎       | 730995/3240000 [00:01<00:04, 563215.64px/s]
📤 Writing LUT:  24%|██▍       | 788727/3240000 [00:01<00:04, 567360.15px/s]
📤 Writing LUT:  26%|██▌       | 846695/3240000 [00:01<00:04, 571001.65px/s]
📤 Writing LUT:  28%|██▊       | 904842/3240000 [00:01<00:04, 574110.24px/s]
📤 Writing LUT:  30%|██▉       | 962938/3240000 [00:01<00:03, 576147.92px/s]
📤 Writing LUT:  32%|███▏      | 1020897/3240000 [00:01<00:03, 577172.29px/s]
📤 Writing LUT:  33%|███▎      | 1079132/3240000 [00:01<00:03, 578716.63px/s]
📤 Writing LUT:  35%|███▌      | 1137319/3240000 [00:01<00:03, 579658.84px/s]
📤 Writing LUT:  37%|███▋      | 1195444/3240000 [00:02<00:03, 580133.46px/s]
📤 Writing LUT:  39%|███▊      | 1253691/3240000 [00:02<00:03, 580831.67px/s]
📤 Writing LUT:  40%|████      | 1311901/3240000 [00:02<00:03, 581210.77px/s]
📤 Writing LUT:  42%|████▏     | 1370071/3240000 [00:02<00:03, 581356.78px/s]
📤 Writing LUT:  44%|████▍     | 1428218/3240000 [00:02<00:03, 580320.03px/s]
📤 Writing LUT:  46%|████▌     | 1486258/3240000 [00:02<00:03, 578869.61px/s]
📤 Writing LUT:  48%|████▊     | 1544423/3240000 [00:02<00:02, 579699.42px/s]
📤 Writing LUT:  49%|████▉     | 1602970/3240000 [00:02<00:02, 581426.84px/s]
📤 Writing LUT:  51%|█████▏    | 1661475/3240000 [00:02<00:02, 582509.91px/s]
📤 Writing LUT:  53%|█████▎    | 1719830/3240000 [00:02<00:02, 582819.71px/s]
📤 Writing LUT:  55%|█████▍    | 1778114/3240000 [00:03<00:02, 582736.41px/s]
📤 Writing LUT:  57%|█████▋    | 1836528/3240000 [00:03<00:02, 583156.57px/s]
📤 Writing LUT:  58%|█████▊    | 1894845/3240000 [00:03<00:02, 582914.04px/s]
📤 Writing LUT:  60%|██████    | 1953138/3240000 [00:03<00:02, 582911.49px/s]
📤 Writing LUT:  62%|██████▏   | 2011494/3240000 [00:03<00:02, 583105.30px/s]
📤 Writing LUT:  64%|██████▍   | 2069933/3240000 [00:03<00:02, 583489.93px/s]
📤 Writing LUT:  66%|██████▋   | 2150140/3240000 [00:03<00:01, 649048.18px/s]
📤 Writing LUT:  68%|██████▊   | 2215047/3240000 [00:03<00:01, 622297.13px/s]
📤 Writing LUT:  70%|███████   | 2277513/3240000 [00:03<00:01, 610854.24px/s]
📤 Writing LUT:  72%|███████▏  | 2338783/3240000 [00:03<00:01, 602833.16px/s]
📤 Writing LUT:  74%|███████▍  | 2399194/3240000 [00:04<00:01, 598146.48px/s]
📤 Writing LUT:  76%|███████▌  | 2459092/3240000 [00:04<00:01, 594135.97px/s]
📤 Writing LUT:  78%|███████▊  | 2518559/3240000 [00:04<00:01, 591005.64px/s]
📤 Writing LUT:  80%|███████▉  | 2577693/3240000 [00:04<00:01, 588742.38px/s]
📤 Writing LUT:  81%|████████▏ | 2636588/3240000 [00:04<00:01, 586384.11px/s]
📤 Writing LUT:  83%|████████▎ | 2696324/3240000 [00:04<00:00, 589623.35px/s]
📤 Writing LUT:  85%|████████▌ | 2759378/3240000 [00:04<00:00, 601761.66px/s]
📤 Writing LUT:  87%|████████▋ | 2819578/3240000 [00:04<00:00, 597851.35px/s]
📤 Writing LUT:  89%|████████▉ | 2879383/3240000 [00:04<00:00, 596266.56px/s]
📤 Writing LUT:  91%|█████████ | 2946136/3240000 [00:04<00:00, 617451.36px/s]
📤 Writing LUT:  93%|█████████▎| 3023675/3240000 [00:05<00:00, 664531.94px/s]
📤 Writing LUT:  95%|█████████▌| 3090178/3240000 [00:05<00:00, 641118.10px/s]
📤 Writing LUT:  97%|█████████▋| 3154495/3240000 [00:05<00:00, 625482.42px/s]
📤 Writing LUT: 100%|█████████▉| 3233588/3240000 [00:05<00:00, 673253.43px/s]
📤 Writing LUT: 100%|██████████| 3240000/3240000 [00:05<00:00, 597163.46px/s]
[✅] LUT written to: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/4_undistorted/output/LUT.lut
[WARN] Folder name 'MDCP3D-SL-001_W036(6)_2026-03-23' does not match expected pattern MDC042_W007_5_28_2025. Using simple naming convention.
[✅] LUT copied to: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/MDCP3D-SL-001_W036(6)_2026-03-23_unknown.lut

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

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

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

   🔥 2000L:   0%|          | 0/179 [00:00<?, ?frame/s]

   🔥 2000L:   4%|▍         | 8/179 [00:00<00:02, 73.59frame/s]

   🔥 2000L:   9%|▉         | 17/179 [00:00<00:02, 77.90frame/s]

   🔥 2000L:  15%|█▍        | 26/179 [00:00<00:01, 79.78frame/s]

   🔥 2000L:  20%|█▉        | 35/179 [00:00<00:01, 81.96frame/s]

   🔥 2000L:  25%|██▍       | 44/179 [00:00<00:01, 83.50frame/s]

   🔥 2000L:  30%|██▉       | 53/179 [00:00<00:01, 76.79frame/s]

   🔥 2000L:  35%|███▌      | 63/179 [00:00<00:01, 82.05frame/s]

   🔥 2000L:  41%|████      | 73/179 [00:00<00:01, 86.17frame/s]

   🔥 2000L:  46%|████▋     | 83/179 [00:00<00:01, 88.07frame/s]

   🔥 2000L:  52%|█████▏    | 93/179 [00:01<00:00, 89.36frame/s]

   🔥 2000L:  58%|█████▊    | 103/179 [00:01<00:00, 90.70frame/s]

   🔥 2000L:  64%|██████▎   | 114/179 [00:01<00:00, 95.12frame/s]

   🔥 2000L:  69%|██████▉   | 124/179 [00:01<00:00, 90.61frame/s]

   🔥 2000L:  75%|███████▍  | 134/179 [00:01<00:00, 92.22frame/s]

   🔥 2000L:  80%|████████  | 144/179 [00:01<00:00, 93.65frame/s]

   🔥 2000L:  86%|████████▌ | 154/179 [00:01<00:00, 94.01frame/s]

   🔥 2000L:  92%|█████████▏| 164/179 [00:01<00:00, 93.61frame/s]

   🔥 2000L:  97%|█████████▋| 174/179 [00:01<00:00, 92.64frame/s]

                                                                 [✅] 2000L: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/2000L_heatmap.png
[✅] 2000L (fitted): /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/2000L_heatmap_fitted.png

📁 Rigs (heatmap):  25%|██▌       | 1/4 [00:03<00:11,  3.70s/rig]

   🔥 2000R:   0%|          | 0/279 [00:00<?, ?frame/s]

   🔥 2000R:   3%|▎         | 8/279 [00:00<00:03, 78.20frame/s]

   🔥 2000R:   6%|▌         | 17/279 [00:00<00:03, 80.96frame/s]

   🔥 2000R:   9%|▉         | 26/279 [00:00<00:03, 83.02frame/s]

   🔥 2000R:  13%|█▎        | 35/279 [00:00<00:02, 84.94frame/s]

   🔥 2000R:  16%|█▌        | 45/279 [00:00<00:02, 89.74frame/s]

   🔥 2000R:  19%|█▉        | 54/279 [00:00<00:02, 89.51frame/s]

   🔥 2000R:  23%|██▎       | 63/279 [00:00<00:02, 87.64frame/s]

   🔥 2000R:  26%|██▌       | 72/279 [00:00<00:02, 75.97frame/s]

   🔥 2000R:  29%|██▊       | 80/279 [00:01<00:03, 64.07frame/s]

   🔥 2000R:  31%|███       | 87/279 [00:01<00:03, 58.10frame/s]

   🔥 2000R:  34%|███▎      | 94/279 [00:01<00:03, 53.77frame/s]

   🔥 2000R:  36%|███▌      | 100/279 [00:01<00:03, 51.79frame/s]

   🔥 2000R:  38%|███▊      | 106/279 [00:01<00:03, 49.78frame/s]

   🔥 2000R:  40%|████      | 112/279 [00:01<00:03, 49.08frame/s]

   🔥 2000R:  43%|████▎     | 121/279 [00:01<00:02, 58.15frame/s]

   🔥 2000R:  47%|████▋     | 130/279 [00:01<00:02, 65.46frame/s]

   🔥 2000R:  49%|████▉     | 138/279 [00:02<00:02, 67.47frame/s]

   🔥 2000R:  52%|█████▏    | 145/279 [00:02<00:02, 65.81frame/s]

   🔥 2000R:  54%|█████▍    | 152/279 [00:02<00:01, 65.00frame/s]

   🔥 2000R:  57%|█████▋    | 159/279 [00:02<00:01, 64.99frame/s]

   🔥 2000R:  59%|█████▉    | 166/279 [00:02<00:01, 64.81frame/s]

   🔥 2000R:  62%|██████▏   | 173/279 [00:02<00:01, 63.12frame/s]

   🔥 2000R:  65%|██████▍   | 180/279 [00:02<00:01, 60.85frame/s]

   🔥 2000R:  67%|██████▋   | 187/279 [00:02<00:01, 59.16frame/s]

   🔥 2000R:  70%|██████▉   | 194/279 [00:02<00:01, 60.03frame/s]

   🔥 2000R:  72%|███████▏  | 201/279 [00:03<00:01, 60.51frame/s]

   🔥 2000R:  75%|███████▍  | 208/279 [00:03<00:01, 62.37frame/s]

   🔥 2000R:  77%|███████▋  | 215/279 [00:03<00:01, 63.47frame/s]

   🔥 2000R:  80%|███████▉  | 222/279 [00:03<00:00, 64.38frame/s]

   🔥 2000R:  82%|████████▏ | 229/279 [00:03<00:00, 65.23frame/s]

   🔥 2000R:  85%|████████▍ | 236/279 [00:03<00:00, 64.51frame/s]

   🔥 2000R:  87%|████████▋ | 243/279 [00:03<00:00, 62.83frame/s]

   🔥 2000R:  90%|████████▉ | 250/279 [00:03<00:00, 61.69frame/s]

   🔥 2000R:  92%|█████████▏| 257/279 [00:03<00:00, 61.78frame/s]

   🔥 2000R:  95%|█████████▍| 264/279 [00:04<00:00, 60.75frame/s]

   🔥 2000R:  97%|█████████▋| 271/279 [00:04<00:00, 60.10frame/s]

   🔥 2000R: 100%|█████████▉| 278/279 [00:04<00:00, 59.57frame/s]

                                                                 [✅] 2000R: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/2000R_heatmap.png
[✅] 2000R (fitted): /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/2000R_heatmap_fitted.png

📁 Rigs (heatmap):  50%|█████     | 2/4 [00:11<00:11,  5.84s/rig]

   🔥 1500:   0%|          | 0/257 [00:00<?, ?frame/s]

   🔥 1500:   2%|▏         | 5/257 [00:00<00:05, 43.69frame/s]

   🔥 1500:   4%|▍         | 10/257 [00:00<00:05, 44.46frame/s]

   🔥 1500:   6%|▌         | 15/257 [00:00<00:05, 44.84frame/s]

   🔥 1500:   8%|▊         | 21/257 [00:00<00:04, 49.99frame/s]

   🔥 1500:  11%|█▏        | 29/257 [00:00<00:03, 60.19frame/s]

   🔥 1500:  15%|█▍        | 38/257 [00:00<00:03, 67.31frame/s]

   🔥 1500:  18%|█▊        | 46/257 [00:00<00:02, 70.57frame/s]

   🔥 1500:  21%|██        | 54/257 [00:00<00:02, 72.45frame/s]

   🔥 1500:  24%|██▍       | 62/257 [00:00<00:02, 74.55frame/s]

   🔥 1500:  28%|██▊       | 71/257 [00:01<00:02, 77.07frame/s]

   🔥 1500:  31%|███       | 80/257 [00:01<00:02, 78.83frame/s]

   🔥 1500:  35%|███▍      | 89/257 [00:01<00:02, 79.96frame/s]

   🔥 1500:  38%|███▊      | 97/257 [00:01<00:02, 79.64frame/s]

   🔥 1500:  41%|████      | 105/257 [00:01<00:01, 79.71frame/s]

   🔥 1500:  44%|████▍     | 113/257 [00:01<00:01, 78.52frame/s]

   🔥 1500:  47%|████▋     | 121/257 [00:01<00:01, 78.57frame/s]

   🔥 1500:  51%|█████     | 130/257 [00:01<00:01, 80.94frame/s]

   🔥 1500:  54%|█████▍    | 139/257 [00:01<00:01, 81.89frame/s]

   🔥 1500:  58%|█████▊    | 148/257 [00:02<00:01, 81.32frame/s]

   🔥 1500:  61%|██████    | 157/257 [00:02<00:01, 81.09frame/s]

   🔥 1500:  65%|██████▍   | 166/257 [00:02<00:01, 81.13frame/s]

   🔥 1500:  68%|██████▊   | 175/257 [00:02<00:01, 75.03frame/s]

   🔥 1500:  71%|███████   | 183/257 [00:02<00:00, 76.27frame/s]

   🔥 1500:  74%|███████▍  | 191/257 [00:02<00:00, 77.06frame/s]

   🔥 1500:  77%|███████▋  | 199/257 [00:02<00:00, 77.85frame/s]

   🔥 1500:  81%|████████  | 207/257 [00:02<00:00, 78.03frame/s]

   🔥 1500:  84%|████████▎ | 215/257 [00:02<00:00, 78.58frame/s]

   🔥 1500:  87%|████████▋ | 224/257 [00:02<00:00, 79.67frame/s]

   🔥 1500:  91%|█████████ | 233/257 [00:03<00:00, 80.51frame/s]

   🔥 1500:  94%|█████████▍| 242/257 [00:03<00:00, 80.70frame/s]

   🔥 1500:  98%|█████████▊| 251/257 [00:03<00:00, 81.09frame/s]

                                                                [✅] 1500: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/1500_heatmap.png
[✅] 1500 (fitted): /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/1500_heatmap_fitted.png

📁 Rigs (heatmap):  75%|███████▌  | 3/4 [00:15<00:05,  5.42s/rig]

   🔥 1000:   0%|          | 0/163 [00:00<?, ?frame/s]

   🔥 1000:   5%|▍         | 8/163 [00:00<00:01, 78.07frame/s]

   🔥 1000:  10%|█         | 17/163 [00:00<00:01, 83.09frame/s]

   🔥 1000:  17%|█▋        | 27/163 [00:00<00:01, 86.83frame/s]

   🔥 1000:  22%|██▏       | 36/163 [00:00<00:01, 65.13frame/s]

   🔥 1000:  27%|██▋       | 44/163 [00:00<00:02, 58.18frame/s]

   🔥 1000:  31%|███▏      | 51/163 [00:00<00:02, 53.37frame/s]

   🔥 1000:  35%|███▍      | 57/163 [00:00<00:02, 51.67frame/s]

   🔥 1000:  39%|███▊      | 63/163 [00:01<00:01, 50.20frame/s]

   🔥 1000:  42%|████▏     | 69/163 [00:01<00:01, 49.28frame/s]

   🔥 1000:  45%|████▌     | 74/163 [00:01<00:01, 48.59frame/s]

   🔥 1000:  48%|████▊     | 79/163 [00:01<00:01, 47.72frame/s]

   🔥 1000:  52%|█████▏    | 84/163 [00:01<00:01, 46.93frame/s]

   🔥 1000:  55%|█████▍    | 89/163 [00:01<00:01, 46.41frame/s]

   🔥 1000:  58%|█████▊    | 94/163 [00:01<00:01, 45.45frame/s]

   🔥 1000:  61%|██████    | 99/163 [00:01<00:01, 44.87frame/s]

   🔥 1000:  64%|██████▍   | 104/163 [00:02<00:01, 44.20frame/s]

   🔥 1000:  67%|██████▋   | 109/163 [00:02<00:01, 44.09frame/s]

   🔥 1000:  70%|██████▉   | 114/163 [00:02<00:01, 44.87frame/s]

   🔥 1000:  73%|███████▎  | 119/163 [00:02<00:00, 45.72frame/s]

   🔥 1000:  77%|███████▋  | 125/163 [00:02<00:00, 47.10frame/s]

   🔥 1000:  80%|███████▉  | 130/163 [00:02<00:00, 47.24frame/s]

   🔥 1000:  83%|████████▎ | 135/163 [00:02<00:00, 47.70frame/s]

   🔥 1000:  87%|████████▋ | 141/163 [00:02<00:00, 48.75frame/s]

   🔥 1000:  90%|█████████ | 147/163 [00:02<00:00, 50.45frame/s]

   🔥 1000:  94%|█████████▍| 153/163 [00:03<00:00, 50.61frame/s]

   🔥 1000:  98%|█████████▊| 159/163 [00:03<00:00, 50.85frame/s]

                                                                [✅] 1000: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/1000_heatmap.png
[✅] 1000 (fitted): /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap/1000_heatmap_fitted.png

📁 Rigs (heatmap): 100%|██████████| 4/4 [00:20<00:00,  5.06s/rig]
📁 Rigs (heatmap): 100%|██████████| 4/4 [00:20<00:00,  5.12s/rig]
[✅] all_rigs_average.png
[✅] all_rigs_best.png
[✅] all_rigs_average_fitted.png
[✅] all_rigs_best_fitted.png
[✅] Heatmaps saved to: /working/MDCP3D-SL-001_W036(6)_2026-03-23/calibration/debug/5_heatmap
[🏁] Finished processing MDCP3D-SL-001_W036(6)_2026-03-23


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